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N ational T ransportation S tatistics U.S. Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics

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National Transportation Statistics

US Department of TransportationResearch and Innovative Technology AdministrationBureau of Transportation Statistics

National Transportation Statistics

2009

Bureau of

Transportation

Statistics

US Department of Transportation

Our mission To lead in developing transportation data and information of high quality and to advance their effective use in both public and private transportation decisionmaking

Our vision for the future Data and information of high quality supporting every significant transportation policy decision thus advancing the quality of life and the economic well-being of all Americans

All material contained in this report is in the public domain and may be used and reprinted without special permission source citation is required

Recommended citation

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics National Transportation Statistics httpwwwbtsgovpublicationsnational_transportation_statistics

NTS is a web-only report however print copies of other BTS products may be obtained via the following contacts

Product Orders US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics 1200 New Jersey Avenue SE Room E36-109 Washington DC 20590 wwwordersbtsgov

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Acknowledgments

US Department of Transportation Ray LaHood Secretary

Vice Admiral Thomas J Barrett Deputy Secretary

Research and Innovative Technology Administration Steven K Smith PhD Acting Deputy Administrator

Bureau of Transportation Statistics Steven D Dillingham PhD Director

Deborah D Johnson Acting Deputy Director

Produced under the direction of Ronald J Duych Acting Assistant Director for Transportation Analysis

Project Manager Long X Nguyen

Data Collection MacroSys David Chesser Adam Mengesha Getachew Mekonnen Mathew Schultz Jie Zhang

Contributors Steven Beningo Kenneth Notis

Editor William H Moore

Cover Design Alpha Glass Wingfield

Introduction Compiled and published by the US Department of Transportations Bureau of Transportation Statistics (BTS) National Transportation Statistics presents information on the US transportation system including its physical components safety record economic performance energy use and environmental impacts National Transportation Statistics is a companion document to the Transportation Statistics Annual Report which analyzes some of the data presented here and State Transportation Statistics which presents state-level data on many of the same topics presented here

The report has four chapters

bull Chapter 1 provides data on the extent condition use and performance of the physical transportation network

bull Chapter 2 details transportations safety record giving data on accidents crashes fatalities and injuries for each transportation mode and hazardous materials

bull Chapter 3 focuses on the relationship between transportation and the economy presenting data on transportations contribution to the gross domestic product employment by industry and occupation and transportation-related consumer and government expenditures

bull Chapter 4 presents data on transportation energy use and transportation-related environmental impacts

Appendix A contains metric conversions of select tables BTS obtained the data in this report from many sources including federal government agencies private industry and associations Documents cited as sources for the tables provide detailed information about definitions methodologies and statistical reliability Some of the data are based on samples and are subject to sampling variability National Transportation Statistics is updated quarterly at wwwbtsgov

Table of Contents INTRODUCTION Table A - Social and Economic Characteristics of the United States (Updated April 2008) Chapter 1 The Transportation System SECTION A PHYSICAL EXTENT 1-1 System Mileage Within the United States (Updated December 2008) 1-2 Number of Air Carriers Railroads Interstate Motor Carriers Marine Vessel Operators and

Pipeline Operators (Updated December 2008)1-3 Number of US Airports (Updated December 2008) 1-4 Public Road and Street Mileage in the United States by Type of Surface (Updated March 2009) 1-5 US Public Road and Street Mileage by Functional System (Updated March 2009) 1-6 Estimated US Roadway Lane-Miles by Functional System (Updated March 2009) 1-7 Number of Stations Served by Amtrak and Rail Transit Fiscal Year (Updated July 2008)1-8 ADA Lift- or Ramp-Equipped Transit Buses (Updated April 2008)1-9 ADA-Accessible Rail Transit Stations by Agency (Updated March 2009)1-10 US Oil and Gas Pipeline Mileage (Updated July 2008) SECTION B VEHICLE AIRCRAFT AND VESSEL INVENTORY 1-11 Number of US Aircraft Vehicles Vessels and Other Conveyances (Updated December 2008) 1-12 US Sales or Deliveries of New Aircraft Vehicles Vessels and Other Conveyances (Updated

March 2009) 1-13 Active US Air Carrier and General Aviation Fleet by Type of Aircraft (Updated December 2007) 1-14 US Automobile and Truck Fleets by Use (Updated April 2007)1-15 Annual US Motor Vehicle Production and Factory (Wholesale) Sales (Updated October 2008)1-16 Retail New Passenger Car Sales (Updated October 2008)1-17 New and Used Passenger Car Sales and Leases (Updated April 2008)1-18 Retail Sales and Lease of New Cars by Sector (Updated December 2008) 1-19 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and

Imported Automobiles (Updated December 2008) 1-20 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and

Imported Light Trucks (Updated December 2008)1-21 Number of Trucks by Weight 1-22 World Motor Vehicle Production Selected Countries (Updated October 2008)1-23 Number and Size of the US Flag Merchant Fleet and Its Share of the World Fleet (Updated March 2009) SECTION C CONDITION 1-24 US Airport Runway Pavement Conditions (Updated December 2008) 1-25 Median Age of Automobiles and Trucks in Operation in the United States (Updated December

2008) 1-26 Condition of US Roadways by Functional System (Updated December 2008) 1-27 Condition of US Bridges (Updated March 2009)1-28a Average Age of Urban Transit Vehicles (Updated March 2009)1-28b Condition of Urban Bus and Rail Transit Maintenance Facilities (Updated April 2008)1-28c Condition of Rail Transit Infrastructure (Updated April 2008)1-29 Class I Railroad Locomotive Fleet by Year Built (Updated April 2008)1-30 Age and Availability of Amtrak Locomotive and Car Fleets (Updated December 2008)1-31 US Flag Vessels by Type and Age (Updated December 2008)

SECTION D TRAVEL AND GOODS MOVEMENT 1-32 US Vehicle-Miles (Updated October 2008)1-33 Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class

(Updated March 2009) 1-34 US Air Carrier Aircraft Departures Enplaned Revenue Passengers and Enplaned Revenue

Tons (Updated July 2008) 1-35 Average Length of Haul Domestic Freight and Passenger Modes (Updated December 2005) 1-36 Worldwide Commercial Space Launches (Updated March 2009) 1-37 US Passenger-Miles (Updated October 2008)1-38 Principal Means of Transportation to Work (Updated December 2008) 1-39 Long-Distance Travel in the United States by Selected Trip Characteristics 2001 1-40 Long-Distance Travel in the United States by Selected Traveler Characteristics 2001 1-41 Passengers Boarded at the Top 50 US Airports (Updated April 2008) 1-42 Air Passenger Travel Arrivals in the United States (Updated April 2008)1-43 Air Passenger Travel Departures from the United States (Updated April 2008)1-44 US-Canadian Border Land-Passenger Gateways Entering the United States (Updated December

2008) 1-45 US-Mexican Border Land-Passenger Gateways Entering the United States (Updated

March 2009) 1-46a US Ton-Miles of Freight (Updated December 2008)1-46b US Ton-Miles of Freight (Updated October 2008)1-47 Top US Foreign Trade Freight Gateways by Value of Shipments (Updated December 2008) 1-48 US-Canadian Border Land Freight Gateways Number of Truck or Railcar Crossings

(Updated December 2008) 1-49 US-Mexican Border Land Freight Gateways Number of Truck or Railcar Crossings

(Updated December 2009) 1-50 US Waterborne Freight (Updated October 2008)1-51 Tonnage of Top 50 US Water Ports Ranked by Total Tons (Updated July 2008) 1-52 Freight Activity in the United States 1993 1997 and 2002 (Updated April 2006) 1-53 Value Tons and Ton-Miles of Freight Shipments within the United States by Domestic

Establishments 2002P (Updated April 2006) 1-54 Value of US Land Exports to and Imports from Canada and Mexico by Mode (Updated

July 2008) 1-55 Crude Oil and Petroleum Products Transported in the United States by Mode (Updated

September 2005) 1-56 US Hazardous Materials Shipments by Transportation Mode 2002 (Updated April 2005) 1-57 US Hazardous Materials Shipments by Hazard Class 2002 (Updated April 2005) SECTION E PHYSICAL PERFORMANCE 1-58 Passengers Denied Boarding by the Largest US Air Carriers (Updated April 2008)1-59 Mishandled-Baggage Reports Filed by Passengers with the Largest US Air Carriers (Updated

April 2008) 1-60 Flight Operations Arriving On Time by the Largest US Air Carriers (Updated April 2008) 1-61 FAA-Cited Causes of Departure and En route Delays (Updated October 2008)1-62 Major US Air Carrier Delays Cancellations and Diversions (Updated December 2008) 1-63 Annual Person-Hours of Highway Traffic Delay per Person (Updated December 2007)1-64 Travel Time Index (Updated December 2007)

1-65 Annual Roadway Congestion Index (Updated December 2007)1-66 Annual Highway Congestion Cost (Updated December 2007)1-67 Amtrak On-Time Performance Trends and Hours of Delay by Cause (Updated December 2008) Chapter 2 Transportation Safety SECTION A MULTIMODAL 2-1 Transportation Fatalities by Mode (Updated December 2008)2-2 Injured Persons by Transportation Mode (Updated December 2008)2-3 Transportation Accidents by Mode (Updated December 2008) 2-4 Distribution of Transportation Fatalities by Mode (Updated December 2008) 2-5 Highway-Rail Grade-Crossing Safety and Property Damage Data (Updated July 2008) 2-6 Hazardous Materials Fatalities Injuries Accidents and Property Damage Data (Updated

December 2008) 2-7 Transportation-Related Occupational Fatalities (Updated December 2008) 2-8 Reporting Thresholds for Property Damage by US Department of Transportation Modal (Updated December 2007) SECTION B AIR 2-9 US Air Carrier Safety Data (Updated December 2008) 2-10 US Commuter Air Carrier Safety Data (Updated October 2008)2-11 US Air Carrier Fatal Accidents by First Phase of Operation (Updated October 2008)2-12 US Commuter Air Carrier Fatal Accidents by First Phase of Operation (Updated July 2008) 2-13 US On-Demand Air Taxi Safety Data (Updated July 2008) 2-14 US General Aviation Safety Data (Updated July 2008) 2-15 Number of Pilot-Reported Near Midair Collisions (NMAC) by Degree of Hazard (Updated July

2008 2-16a Airline Passenger Screening Results by Type of Weapons Detected Persons Arrested and

Bomb Threats Received 2-16b Prohibited Items Intercepted at Airport Screening Checkpoints (Updated December 2008) SECTION C HIGHWAY 2-17 Motor Vehicle Safety Data (Updated July 2008)2-18 Motor Vehicle Fatalities Vehicle-Miles and Associated Rates by Highway Functional System

(Updated March 2009) 2-19 Occupant Fatalities by Vehicle Type and Nonoccupant Fatalities (Updated October 2008)2-20 Occupant and Non-Motorist Fatalities in Crashes by Number of Vehicles and Alcohol

Involvement (Updated March 2009)2-21 Passenger Car Occupant Safety Data (Updated March 2009) 2-22 Motorcycle Rider Safety Data (Updated March 2009) 2-23 Truck Occupant Safety Data (Updated March 2009) 2-24 Bus Occupant Safety Data (Updated March 2009) 2-25 Fatalities by Highest Blood Alcohol Concentration (BAC) in Highway Crashes (Updated

March 2009) 2-26 Number of States with Different Types of Anti-DUIDWI Legislation in Effect as of January 1

of the Listed Year (Updated October 2007) 2-27 Motor Vehicle Fatal Crashes by Day of Week Time of Day and Weather and Light

Conditions (Updated December 2008) 2-28 Motor Vehicle Fatal Crashes by Posted Speed Limit (Updated December 2008)

2-29 Safety Belt and Motorcycle Helmet Use (Updated July 2008)2-30 Estimated Number of Lives Saved by Use of Restraints (Updated July 2008) SECTION D TRANSIT 2-31 Transit Safety and Property Damage Data (Updated March 2009) 2-32 Transit Safety Data by Mode for All Reported Accidents (Updated October 2008)2-33a Transit Safety Data by Mode for All Reported Incidents (Updated October 2008)2-33b Transit and Grade-Crossing Fatalities by Rail Transit Mode (Updated October 2008)2-33c Transit and Grade-Crossing Injuries by Rail Transit Mode (Updated October 2008)2-33d Transit and Grade-Crossing Fatalities by Rail Transit Mode (Updated October 2008)2-34 Reports of Violent Crime Property Crime and Arrests by Transit Mode (Updated July

2008) SECTION E RAILROAD 2-35 Railroad and Grade-Crossing Fatalities by Victim Class (Updated July 2008)2-36 Railroad and Grade-Crossing Injured Persons by Victim Class (Updated July 2008)2-37 Train Fatalities Injuries and Accidents by Type of Accident (Updated July 2008)2-38 Railroad Passenger Safety Data (Updated July 2008) 2-39 Railroad System Safety and Property Damage Data (Updated July 2008) 2-40 Fatalities and Injuries of On-Duty Railroad Employees (Updated July 2008) SECTION F WATER 2-41 Waterborne Transportation Safety and Property Damage Data Related to Vessel Casualties

(Updated March 2009) 2-42 Waterborne Transportation Safety Data not Related to Vessel Casualties (Updated July

2007) 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data (Updated

March 2009)2-44 Personal Watercraft Safety Data (Updated March 2009) 2-45 US Coast Guard Search and Rescue Statistics Fiscal Year (Updated July 2008) SECTION G PIPELINE 2-46 Hazardous Liquid and Natural Gas Pipeline Safety (Updated October 2008) Chapter 3 Transportation and the Economy SECTION A TRANSPORTATION AND THE TOTAL ECONOMY 3-1a US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Current

$ billions) (Updated March 2009)3-1b US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services

(Chained 1996 $ billions) (Updated March 2009) 3-2a US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand

(Current $ billions) (Updated March 2009) 3-2b US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand

(Chained 1996 $ billions) (Updated December 2008) 3-3a US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand

(Current $ billions) (Updated December 2008) 3-3b US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand

(Chained 1996 $ billions) (Updated December 2008)

3-4a Contributions to Gross Domestic Product (GDP) Selected Industries (Current $ billions) (Updated December 2008)

3-4b Contributions to Gross Domestic Product (GDP) Selected Industries (Chained 1996 $ billions) (Updated December 2008)

3-5 Gross Domestic Product (GDP) by Major Social Function (Updated March 2009) 3-6 National Transportation and Economic Trends (Updated March 2009) SECTION B TRANSPORTATION AND CONSUMER EXPENDITURES 3-7 Passenger and Freight Transportation Expenditures 3-8 Sales Price of Transportation Fuel to End-Users (Updated July 2008) 3-9 Price Trends of Gasoline v Other Consumer Goods and Services (Updated October 2007) 3-10a Producer Price Indices for Transportation Services (SIC) (Updated October 2007) 3-10b Producer Price Indices for Transportation Services and Warehousing Services (NAICS)

(Updated March 2009) 3-11a Producer Price Indices for Transportation Equipment 3-11b Producer Price Indices for Transportation Equipment NAICS Basis (Updated March 2009) 3-12 Personal Expenditures by Category (Updated July 2008) 3-13 Personal Consumption Expenditures on Transportation by Subcategory (Updated

March 2009) 3-14 Average Cost of Owning and Operating an Automobile (Updated July 2008) 3-15a Average Passenger Fares (Current $) (Updated December 2008)3-15b Average Passenger Fares (Chained 2000 $) (Updated April 2008) SECTION C TRANSPORTATION REVENUES EMPLOYMENT AND PRODUCTIVITY 3-16 Average Passenger Revenue per Passenger-Mile (Updated April 2008)3-17 Average Freight Revenue per Ton-Mile (Updated April 2008) 3-18 Total Operating Revenues (Updated April 2008)3-19a Employment in For-Hire Transportation and Selected Transportation-Related Industries

(SIC) 3-19b Employment in For-Hire Transportation and Selected Transportation-Related Industries

(NAICS) (Updated December 2008) 3-20a Employment in Transportation Occupations 3-20b Employment in Transportation and Transportation-Related Occupations (Updated December

2008) 3-21a Average Wage and Salary Accruals per Full-Time Equivalent Employee by Transportation

Industry (SIC) 3-21b Average Wage and Salary Accruals per Full-Time Equivalent Employee by Transportation

Industry (NAICS) (Updated December 2008) 3-22a Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by

Detailed Occupation 3-22b Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by

Detailed Occupation (1998 Standard Occupational Classification [SOC] basis) (Updated March 2009)3-23a Total Wage and Salary Accruals by Transportation Industry (SIC) 3-23b Total Wage and Salary Accruals by Transportation Industry (NAICS) (Updated December

2008) 3-24a Labor Productivity Indices for Selected Transportation Industries (SIC) 3-24b Labor Productivity Indices for Selected Transportation Industries (NAICS) (Updated December

2008)

SECTION D GOVERNMENT FINANCE 3-25a Federal State and Local Government Transportation-Related Revenues and Expenditures

Fiscal Year (Current $ millions) (Updated December 2008)3-25b Federal State and Local Government Transportation-Related Revenues and Expenditures

Fiscal Year (Chained 1996 $) (Updated December 2008) 3-26 Summary of Transportation Revenues and Expenditures from Own Funds and User

Coverage Fiscal Year (Current and chained 1996 $ millions) (Updated December 2008) 3-27a Transportation Revenues by Mode and Level of Government Fiscal Year (Current $

millions) (Updated December 2008)3-27b Transportation Revenues by Mode and Level of Government Fiscal Year (Chained 1996 $

millions) (Updated December 2008)3-28 Cash Balances of the Transportation-Related Federal Trust Funds Fiscal Year (Updated

December 2007) 3-29a Transportation Expenditures by Mode and Level of Government From Own Funds Fiscal

Year (Current $ millions) (Updated April 2008) 3-29b Transportation Expenditures by Mode and Level of Government From Own Funds Fiscal

Year (Chained 1996 $ millions) (Updated April 2008)3-30a Federal Transportation Grants to State and Local Governments by Mode Fiscal Year

(Current $ millions) (Updated April 2008)3-30b Federal Transportation Grants to State and Local Governments by Mode Fiscal Year

(Chained 1996 $ millions) (Updated April 2008) Chapter 4 Transportation Energy and the Environment SECTION A US AND TRANSPORTATION SECTION ENERGY CONSUMPTION 4-1 Overview of US Petroleum Production Imports Exports and Consumption (Updated

October 2008)4-2 US Consumption of Energy from Primary Sources by Sector (Updated March 2009) 4-3 Domestic Demand for Refined Petroleum Products by Sector (Updated July 2008) SECTION B TRANSPORTATION ENERGY CONSUMPTION BY MODE 4-4 US Energy Consumption by the Transportation Sector (Updated December 2008) 4-5 Fuel Consumption by Mode of Transportation (Updated December 2007)4-6 Energy Consumption by Mode of Transportation (Updated December 2008)4-7 Domestic Demand for Gasoline by Mode (Updated March 2009)4-8 Certificated Air Carrier Fuel Consumption and Travel (Updated October 2008)4-9 Motor Vehicle Fuel Consumption and Travel (Updated March 2009)4-10 Estimated Consumption of Alternative and Replacement Fuels for Highway Vehicles (Updated December 2008)4-11 Passenger Car and Motorcycle Fuel Consumption and Travel (Updated March 2009)4-12 Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel (Updated March 2009)4-13 Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel (Updated

March 2009) 4-14 Combination Truck Fuel Consumption and Travel (Updated March 2009)4-15 Bus Fuel Consumption and Travel (Updated March 2009) 4-16 Transit Industry Electric Power and Primary Energy Consumption and Travel (Updated

December 2008) 4-17 Class I Rail Freight Fuel Consumption and Travel (Updated October 2008)

4-18 Amtrak Fuel Consumption and Travel (Updated March 2009) 4-19 US Government Energy Consumption by Agency and Source (Updated December 2008) SECTION C TRANSPORTATION ENERGY INTENSITY AND FUEL EFFICIENCY 4-20 Energy Intensity of Passenger Modes (Updated October 2008)4-21 Energy Intensity of Certificated Air Carriers All Services (Updated July 2007) 4-22 Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles (Updated

April 2008)4-23 Average Fuel Efficiency of US Passenger Cars and Light Trucks (Updated December 2008) 4-24 Energy Intensity of Transit Motor Buses (Updated December 2007) 4-25 Energy Intensity of Class I Railroad Freight Service (Updated April 2008)4-26 Energy Intensity of Amtrak Services (Updated April 2008)4-27 Annual Wasted Fuel Due to Congestion (Updated December 2007) 4-28 Annual Wasted Fuel per Person (Updated December 2007) SECTION D AIR POLLUTION 4-29 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light-Duty Vehicles 4-30a Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT1) (Grams per mile) 4-30b Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT2) (Grams per mile) 4-30c Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT3) (Grams per mile) 4-30d Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT4) (Grams per mile) 4-31 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Medium-Duty Passenger Vehicles (MDPV) 4-32a Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Heavy-Duty Trucks (Grams per brake horsepower-hour) 4-32b Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Heavy Heavy-Duty Trucks (Grams per brake horsepower-hour) 4-33 Federal Exhaust Emissions Standards for Newly Manufactured Motorcycles 4-34 Federal Exhaust Emissions Standards for Newly Manufactured and In-Use Aircraft Engines 4-35 Federal Exhaust Emissions Standards for Locomotives 4-36 Federal Exhaust Emissions Standards for Newly Manufactured Marine Spark-Ignition

Outboard Personal Watercraft and Jet-Boat Engines 4-37 Tier 2 Federal Exhaust Emissions Standards for Newly Manufactured Commercial Marine

Compression-Ignition Engines 4-38 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type Using

Gasoline and Diesel (Updated December 2007) 4-39 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type Using

Reformulated Gasoline and Diesel (Updated December 2007)4-40 Estimated National Emissions of Carbon Monoxide (Updated October 2007)4-41 Estimated National Emissions of Nitrogen Oxides (Updated October 2007)4-42 Estimated National Emissions of Volatile Organic Compounds (Updated October 2007)

4-43 Estimated National Emissions of Particulate Matter (PM-10) (Updated October 2007)4-44 Estimated National Emissions of Particulate Matter (PM-25) (Updated December 2008)4-45 Estimated National Emissions of Sulfur Dioxide (Updated December 2008)4-46 Estimated National Emissions of Lead 4-47 Air Pollution Trends in Selected Metropolitan Statistical Areas (Updated March 2009)4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants (Updated April 2007)4-49 US Carbon Dioxide Emissions from Energy Use by Sector (Updated March 2009) SECTION E WATER POLLUTION NOISE AND SOLID WASTE 4-50 Petroleum Oil Spills Impacting Navigable US Waters (Updated October 2007)4-51 Leaking Underground Storage Tank Releases and Cleanups (Updated April 2008) 4-52 Highway Noise Barrier Construction (Updated December 2006)4-53 Number of People Residing in High Noise Areas around US Airports (Updated July 2007) 4-54 Motor Vehicles Scrapped (Updated March 2009) Appendix A Metric Conversion Tables 1-1M System Kilometers Within the United States (Updated December 2008)1-6M Estimated US Roadway Lane-Kilometers by Functional System (Updated April 2008) 1-32M US Vehicle-Kilometers (Updated October 2008)1-33M Roadway Vehicle-Kilometers Traveled (VKT) and VKT per Lane-Kilometer by Functional

Class (Updated April 2008)1-35M Average Length of Haul Domestic Freight and Passenger Modes (Updated April 2005) 1-37M US Passenger-Kilometers (Updated October 2008)1-46aM US Tonne-Kilometers of Freight (Updated December 2008)1-46bM US Tonne-Kilometers of Freight (Updated October 2008)1-50M US Waterborne Freight (Updated October 2008)1-55M Crude Oil and Petroleum Products Transported in the United States by Mode (Updated December

2007) 4-3M Domestic Demand for Refined Petroleum Products by Sector (Updated July 2008) 4-5M Fuel Consumption by Mode of Transportation (Updated December 2007)4-6M Energy Consumption by Mode of Transportation (Updated October 2007)4-7M Domestic Demand for Gasoline by Mode (Updated December 2006) 4-8M Certificated Air Carrier Fuel Consumption and Travel (Updated October 2008)4-9M Motor Vehicle Fuel Consumption and Travel (Updated April 2008) 4-11M Passenger Car and Motorcycle Fuel Consumption and Travel (Updated April 2008)4-12M Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel (Updated April 2008)4-13M Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel (Updated

April 2008)4-14M Combination Truck Fuel Consumption and Travel (Updated April 2008)4-15M Bus Fuel Consumption and Travel (Updated April 2008)4-16M Transit Industry Electric Power and Primary Energy Consumption and Travel (Updated

December 2007) 4-17M Class I Rail Freight Fuel Consumption and Travel (Updated October 2008)4-18M Amtrak Fuel Consumption and Travel (Updated October 2007) 4-19M US Government Energy Consumption by Agency and Source (Updated December 2007) 4-20M Energy Intensity of Passenger Modes (Updated October 2008)4-21M Energy Intensity of Certificated Air Carriers All Services (Updated July 2007)

4-22M Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles (Updated

April 2008)4-23M Average Fuel Efficiency of US Passenger Cars and Light Trucks (Updated December 2008)4-24M Energy Intensiveness of Transit Motor Buses (Updated December 2007) 4-25M Energy Intensity of Class I Railroad Freight Service (Updated April 2008) Appendix B Glossary Appendix C List of Acronyms and Initialisms Appendix D Modal Profiles Air Carrier Profile (Updated April 2008) General Aviation Profile (Updated December 2007) Highway Profile (Updated October 2008) Automobile Profile (Updated July 2008) Truck Profile (Updated December 2008) Bus Profile (Updated December 2007) Transit Profile (Updated December 2007) Rail Profile (Updated July 2008) Water Transport Profile (Updated December 2007) Oil Pipeline Profile (Updated December 2007) Natural Gas Pipeline Profile (Updated December 2007) Appendix E Data Source and Accuracy Statements

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL US resident population a (thousands) 226546 237924 248791 266278 269394 272647 275854 279040 (R) 282217 (R) 285226 (R) 288126 (R) 290796 (R) 293638 296507 299398Population by Age (thousands)Under 18 63754 62623 63949 69465 70226 70917 71428 71947 (R) 72366 (R) 72635 (R) 72906 (R) 73085 (R) 73295 73534 7373618-24 years 30022 28902 26961 25482 25275 25479 26059 26685 (R) 27319 (R) 27999 (R) 28484 (R) 28889 (R) 29236 29333 2945525-34 37082 41696 43174 45052 41809 41345 40757 40178 (R) 39852 (R) 39702 (R) 39768 (R) 39830 (R) 40006 40145 4041635-44 25634 31691 37444 42711 43552 44229 44748 45077 (R) 45187 (R) 45139 (R) 44803 (R) 44387 (R) 44097 43866 4366745-54 22800 22460 25062 31480 32800 34178 35232 36578 (R) 37998 (R) 39378 (R) 39981 (R) 40809 (R) 41619 42487 4327855-64 21703 22135 21116 21320 21590 22099 23011 23778 (R) 24417 (R) 25041 (R) 26590 (R) 27838 (R) 29076 30355 3158765 and over 25550 28415 31084 33769 34143 34402 34619 34798 (R) 35078 (R) 35333 (R) 35594 (R) 35958 (R) 36309 36787 37260Population by Sex a (thousands)Male 110053 115730 121284 130215 131807 133474 135130 136803 138056 (R) 140079 (R) 141592 (R) 142938 (R) 144467 145974 147512Female 116493 122194 127507 136063 137587 139173 140724 142237 143368 (R) 145147 (R) 146534 (R) 147858 (R) 149171 150534 151886Population in Metropolitan areas bh (Thousands) 177000 U 198000 210000 212000 214000 216000 U 232580 236095 238737 241514 244096 246639 249228Large (over 1 million) 119000 U 139000 147000 149000 151000 153000 U 149246 151771 153520 156252 157898 159511 161046Medium (250000-999999) 41000 U 41000 44000 44000 43000 43000 U 55791 57033 57671 57232 58131 59036 60302Small (less than 250000) 17000 U 18000 19000 19000 20000 20000 U 27543 27291 27547 28031 28067 28092 27880Population in Micropolitan areas b (Thousands) NA NA NA NA NA NA NA NA 29478 29629 29787 29687 29835 29986 30211Population in Rural Urbanc areas (thousands) Rural 59495 U 61656 U U U U U 59061 U U U U U UUrban 167051 U 187053 U U U U U 222361 U U U U U UPopulation in Regions a (millions)Northeast 491360 499000 508283 522784 525133 527454 530228 533438 (R) 536676 (R) 539101 (R) 541288 (R) 543274 (R) 544587 (R) 545047 545902South 753720 814000 854558 932492 947172 962451 977223 991645 (R) 1005680 (R) 1008691 (R) 1031884 (R) 1044318 (R) 1058670 (R) 1073849 1088946Midwest 588680 588000 596693 624733 629447 633450 637159 641001 (R) 644966 (R) 648207 (R) 650948 (R) 653473 (R) 656268 (R) 658538 661285West 431733 478000 528375 582776 592191 603115 613930 624319 (R) 634620 (R) 615122 (R) 654760 (R) 663412 (R) 672391 (R) 681524 691416Number of Immigrants admitted d 524295 568149 1535872 720177 915560 797847 653206 644787 841002 1058902 1059356 703542 957883 1122257 1266129Total area e (square miles) 3618770 U 3717796 U U U U U 3794083 U U U U U UGross domestic product (chained $ 2005 billions) f 59466 76709 89777 101348 103270 104987 106153 107688 110035 112675 114642 117082 120446 124339 128265Government total 5097 7362 9069 11031 11317 11573 11854 12223 12626 13105 13712 14348 15020 15687 16420Private industry total 53981 69153 80724 90745 92240 93669 94264 95406 97264 99247 100729 102545 105408 108615 111693Agriculture forestry fishing and hunting 1550 1318 1539 1514 1690 1490 1411 1250 1165 1242 1148 1281 1492 1288 1243Mining 879 981 765 607 767 783 637 709 1051 1086 1040 1412 1672 2257 2473Utilities 1265 1964 1854 2120 2105 2159 2190 2146 2074 2331 2291 2274 2349 2495 2798Construction 1729 2313 2843 3293 3403 3585 3819 4050 4317 4642 4864 5108 5537 6079 6703Manufacturing 12091 13696 15424 16043 15888 15851 15600 15274 14930 14868 14587 14495 14421 14839 15057Wholesale trade 5438 6211 6954 7400 7257 6976 6522 6595 6783 6504 6529 6616 6990 7237 7494Retail trade 6385 7692 8248 8725 8468 8253 8188 8213 8191 7995 8142 8183 8244 8127 8078Transportation and warehousing 2499 2983 3138 3244 3208 3312 3453 3479 3480 3518 3531 3597 3589 3585 3662Information 3706 5279 5741 6163 6290 6355 6321 6269 6244 6245 6192 6089 5914 5705 5587Finance insurance real estate rental and leasing 9243 13449 16785 19832 20540 21254 21621 21917 22355 22954 23661 24221 24938 25490 26047Professional and business services 5152 7242 8861 10763 11066 11493 11896 12313 12786 13154 13435 13518 13920 14532 15040Educational services health care and social assistance 2466 3709 5244 6733 6928 7136 7427 7698 8009 8458 8779 9016 9329 9615 9874Arts entertainment recreation accomodation and food services 1745 2223 2811 3256 3337 3515 3587 3708 3835 3988 4136 4196 4331 4484 4654Other services except government 843 1213 1514 1818 1902 1992 2076 2177 2295 2460 2564 2642 2723 2881 3020Total civilian labor force (thousands) 106940 115461 125840 132304 133943 136297 137673 139368 142583 143734 144863 146510 147401 149320 151428Participation rate of men (percent) 774 763 764 750 749 750 749 747 748 744 741 735 733 733 735Participation rate of women (percent) 515 545 575 589 593 598 598 600 599 598 596 595 592 593 594Number of households (thousands) 80776 86789 93347 98990 99627 101018 102528 103874 104705 108209 109297 111278 112000 113343 114384Average size of households 276 269 263 265 265 264 262 261 262 258 258 257 257 257 257Median household income g (constant $ 2005) U 50291 53942 57159 58384 60265 62023 62493 62697 62779 63344 64132 64186 64457 64771Average household expenditures g (constant $ 2005) U 40643 41095 41039 41874 42228 42503 43345 43130 43576 44141 43326 44850 46409 46862KEY NA = not applicable R = revised U = data are not available

a Estimates as of July 1 except 1980 1990 and 2000 which are as of April 1b New metropolitan area definitions were published by the Office of Budget and Management (OMB) in 2003 These definitions were applied to population data by the Census Bureau beginning with the data from the 2000 Census A new term core based statistical areas (CBSAs) collectively refers to metropolitan and micropolitan statistical areas A metropolitan statistical area is defined as having at least one urbanized area of 50000 or more inhabitants A micropolitan statistical area is defined as having at least one urban cluster of more than 10000 but less than 50000 inhabitantsc As of April 1 of year indicated The Census Bureau only tabulates urban rural numbers for the decennial census yearsd Fiscal year ending September 30e The Census Bureau calculates square mileage comprising land and water area for the decennial census years Data for 1980 comprises land and inland water Data for 1990 comprises land Great Lakes inland water and coastal water Data for 2000 comprises land Great Lakes inland water territorial water and coastal water f Sums of chained-dollar estimates for individual industries do not add to national totals because the chain-type indices used to derive them are based on weights of more than one period Values are calculated to 2005 dollars by the Bureau of Transportation Statistics using Chain-type Price Indexes for Value Added by Industry g Converted to constant 2005 dollars by the Bureau of Transportation Statistics using the CPI-U-RS price indexh Numbers prior to 1999 are estimated to the nearest million

Table A Social and Economic Characteristics of the United States

US Department of Commerce Bureau of the Census Current Population Survey Table HH-6 Average Populaton Per Household and Family 1940 to Present Internet site httpwwwcensusgovpopulationwwwsocdemohh-famhtmlht as of Apr 9 2008Average size of households

1990-99 Ibid National Intercensal Estimates of the United States Resident Population by Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INT-datasetshtml as of Feb 2 2006

US Department of Labor Bureau of Labor Statistics Current Population Survey Table 2 Employment Status of the Civilian Noninstitutional Population 16 years and Over by Sex 1971 to Date Internet site httpwwwblsgovcpscpsaat2pdf as of Jan 18 2006Number of households

SOURCESUS resident population1980 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 2004-2005 (Washington DC 2004) table 11 Internet site hhttpwwwcensusgovprodwwwstatistical-abstracthtml as of Feb 2 20051985 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 15

2000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 7Age1980 Ibid Statistical Abstract of the United States 2004-2005 (Washington DC 2004) table 11 Internet site httpwwwcensusgovprodwwwstatistical-abstracthtml as of Feb 8 20051985 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 121990-99 Ibid National Intercensal Estimates of the United States Resident Population by Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INT-datasetshtml as of Feb 2 20062000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 7 Sex1980 Ibid Statistical Abstract of the United States 2004-2005 (Washington DC 2004) table 11 Internet site httpwwwcensusgovprodwwwstatistical-abstract-04html as of Feb 2 20051985 Ibid Historical Annual Time Series of State Population Estimates and Demographic Components of Change 1980 to 1990 by Single Year of Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchives1980s80s_st_age_sexhtml as of Feb 2 2005 1990-99 Ibid National Intercensal Estimates of the United States Resident Population by Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INT-datasetshtml as of Feb 2 2006

2000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 7 and similar tables in previous editionsMetropolitan areas1980-90 1998 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 32

2000-06 US Census Bureau Population Division Annual Estimates of the Population of Metropolitan and Micropolitan Statistical Areas table 1 Internet site httpwwwcensusgovpopulationwwwestimatesCBSA-est2007-annualhtml as of Apr 9 2008 Micropolitan areas

2000-06 US Census Bureau Population Division Annual Estimates of the Population of Metropolitan and Micropolitan Statistical Areas table 1 Internet site httpwwwcensusgovpopulationwwwestimatesCBSA-est2007-annualhtml as of Apr 9 2008 Rural urban1980-90 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 372000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 29 Regions 1985 Ibid Statistical Abstract of the United States 1995 (Washington DC 1996) table 271995-99 Ibid Time Series of Intercensal Estimates (Washington DC 2004) httpwwwcensusgovpopestarchives2000svintage_2001CO-EST2001-12 as of Feb 2 20052000-06 US Census Bureau Population Division National and State Population Estimates table 1 Internet sitehttpwwwcensusgovpopeststatesNST-ann-esthtml as of Apr 9 2008 ImmigrantsUS Department of Homeland Security US Citizenship and Immigration Services Yearbook of Immigration Statistics (Washington DC Annual Issues) table 1 Internet site httpwwwdhsgovximgtnstatistics as of Apr 9 2008Total areaUS Department of Commerce Bureau of the Census Statistical Abstract of the United States 2002 (Washington DC2003) table 1Gross domestic product

US Department of Labor Bureau of Labor Statistics Consumer Expenditure Survey Average Annual Expenditures All Consumer Units Internet site httpwwwblsgovdatahomehtm as of Apr 10 2008

US Department of Commerce Bureau of the Census Current Population Survey Table HH-6 Average Populaton Per Household and Family 1940 to Present Internet site httpwwwcensusgovpopulationwwwsocdemohh-famhtmlht as of Apr 9 2008Median household income

US Department of Commerce Bureau of the Census Historical Income Tables Table H-1 Internet site httpwwwcensusgovhheswwwincomehistinch01arhtml as of Apr 10 2008 Average household expenditures

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts Annual Industry Accounts Internet site httpwwwbeagovindustrygpotablesgpo_listcfmanon=66559ampregistered=0 as of Apr 10 2008Civilian labor forceUS Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC 2006) table 2 Internet site httpwwwblsgovcpshomehtm as of Feb 23 2006 Participation rates

Chapter 1The Transportation

System

Section APhysical Extent

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Highwaya 3545693 3689666 3730082 3838146 3859837 3863912 3866926 3883920 3901081 3905211 3906595 3912226 3919652 3945872 3906290 3917243 3936222 3948335 3966485 3974107 3981512 3995635 4016741Class I railbc 207334 199798 196479 191520 164822 145764 119758 116626 113056 110425 109332 108264 105779 102128 100570 99430 99250 97817 100125 99126 97662 95830 94942Amtrakc N N N N 24000 24000 24000 25000 25000 25000 25000 24000 25000 25000 22000 23000 23000 23000 23000 22675 22256 22007 21708Transitd

Commuter railc N N N N N 3574 4132 4038 4013 4090 4090 4160 3682 4417 5172 5191 5209 5209 6831 6809 6875 7118 6972Heavy rail N N N N N 1293 1351 1369 1403 1452 1455 1458 1478 1527 1527 1540 1558 1572 1572 1597 1596 1622 1623Light rail N N N N N 384 483 551 558 537 562 568 638 659 676 802 834 897 960 996 1187 1188 1280Navigable channelse 25000 25000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000Oil pipelinefg 190944 210867 218671 225889 218393 213605 208752 203828 196545 193980 190350 181912 177535 179873 178648 177463 176996 158248 160990 159889 161670 159512 169346Gas pipelineh 630950 767520 913267 979263 1051774 1118875 1189200 1208200 1216100 1277200 1288400 1277600 1323600 1331800 1351200 1340300 1369300 1373500 1411400 1424200 1462300 1437500 1534300

SOURCES

f The large drop in mileage between 2000 and 2001 is due to a change in the source of the datag Includes trunk and gathering lines for crude-oil pipelineh Excludes service pipelines Data not adjusted to common diameter equivalent Mileage as of the end of each year Includes gathering transmission and distribution mains Prior to 1990 data also include field lines See table 1-10 for a more detailed breakout of oil and gas pipeline mileage Length data reported in Gas Facts prior to 1990 was taken from the American Gas Associations member survey the Uniform Statistical Report supplemented with estimates for companies that did not participate Gas Facts length data is now based on information reported to the US Department of Transportation on Form 7100

Table 1-1 System Mileage Within the United States (Statute miles)

KEY N = data do not exist U = data are not available

e These are estimated sums of all domestic waterways which include rivers bays channels and the inner route of the Southeast Alaskan Islands but does not include the Great Lakes or deep ocean traffic The Waterborne Commerce Statistics Center monitored 12612 miles as commercially significant inland shallow-draft waterways in 2001

a All public road and street mileage in the 50 states and the District of Columbia For years prior to 1980 some miles of nonpublic roadways are included No consistent data on private road mileage are available Beginning in 1998 approximately 43000 miles of Bureau of Land Management Roads are excludedb Data represent miles of road owned (aggregate length of road excluding yard tracks sidings and parallel lines)

c Portions of Class I freight railroads Amtrak and commuter rail networks share common trackage Amtrak data represent miles of road operatedd Transit system length is measured in directional route-miles Directional route-miles is the distance in each direction over which public transportation vehicles travel while in revenue service Directional route-miles are computed with regard to direction of service but without regard to the number of traffic lanes or rail tracks existing in the right-of-way Beginning in 2002 directional route-mileage data for the commuter and light rail modes include purchased transportation

Highway1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC Annual issues) table HM-212 1996-2006 Ibid Highway Statistics table HM-20 (Washington DC Annual issues) available at httpwwwfhwadotgovpolicyohpihssindexhtm as of Feb 18 2008Class I rail1960-2006 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 45 and similar tables in earlier editionsAmtrak1980 Amtrak Corporate Planning and Development personal communication (Washington DC)1985-2001 Amtrak Corporate Planning and Development Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar tables in earlier editionsTransit 1985-2006 US Department of Transportation Federal Transit Administration National Transit Database 2005 (Washington DC 2006) table 23 and similar tables in earlier editions available at httpwwwntdprogramgovntdprogram as of Nov 9 2007Navigable channels1960-96 US Army Corps of Engineers Ohio River Division Huntington DistrictOhio River Navigation System Report 1996 Commerce on the Ohio River and its Tributaries (Fort Belvoir VA 1996) p 21997-99 Ibid Waterborne Commerce Statistics Center Databases personal communication Aug 3 20012000-04 Ibid personal communication Apr 21 20062005-06 US Army Corps of Engineers personal communication Dec 12 2006

1960-2006 American Gas Association Gas Facts 2006 (Washington DC 2008) table 5-1 and similar tables in earlier editions

Oil pipeline1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 58 2001-06 US Department of Transportation Pipeline and Hazardous Materials Administration Office of Pipeline Safety Pipeline Statistics available at httpopsdotgovstatshtm as of March 31 2008Gas pipeline

Table 1-2 Number of Air Carriers Railroads Interstate Motor Carriers Marine Vessel Operators and Pipeline Operators1960 1965 1970 1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carriersa N N 39 36 63 102 70 96 96 96 96 94 91 87 83 80 83 82 98Major air carriers N N N N N 13 14 11 12 13 13 13 15 15 15 14 14 17 21Other air carriers N N N N N 89 56 85 84 83 83 81 76 72 68 66 69 65 77Railroads 607 568 517 477 480 500 530 541 553 550 559 555 560 571 552 549 556 560 559Class I railroads 106 76 71 73 39 25 14 11 10 9 9 9 8 8 7 7 7 7 7Other railroads 501 492 446 404 441 475 516 530 543 541 550 546 552 563 545 542 549 553 552Interstate motor carriersb U U U U U U 216000 346000 379000 417000 477486 517297 560393 592909 600104 674314 677317 679744 UMarine vessel operators c U U U U U U U 1381 1348 1311 1235 1174 1114 1063 877 798 767 733 682Pipeline operatorsd N N 1123 1682 2243 (R) 2163 (R) 2198 (R) 2367 (R) 2327 (R) 2281 (R) 2236 (R) 2238 (R) 2157 (R) 2135 (R) 2186 (R) 2216 2240 2166 2297Hazardous liquid N N N N N (R) 171 (R) 171 (R) 197 (R) 205 (R) 216 (R) 219 (R) 215 (R) 220 (R) 220 (R) 218 (R) 235 (R) 278 (R) 302 324Natural gas transmission N N 420 432 474 724 866 975 971 957 889 885 844 (R) 837 (R) 919 (R) 947 (R) 941 (R) 968 992Natural gas distributione

N N 938 1500 1932 1485 1382 1444 1397 1365 1375 1393 1363 1341 1331 (R) 1311 (R) 1344 (R) 1352 1325KEY N = data do not exist R = revised U = data are not available

a Carrier groups are categorized based on their annual operating revenues as major national large regional and medium regional The thresholds were last adjusted July 1 1999 and the threshold for major air carriers is currently $1 billion The other air carrier category contains all national large regional and medium regional air carriers Beginning in 2003 regional air carriers are not required to report financial data which may result in under reporting of Other carriers in this tableb Figures are for the fiscal year October through September The Federal Motor Carrier Safety Administration deletes motor carriers from the Motor Carrier Management Information System (MCMIS) when they receive an official notice of a change in status This most often occurs when a safety audit or compliance review is attempted As a result inactive carriers may be included in the MCMIS

c The printed source materials do not contain totals for the number of operators and data files from which the figures can be determined are not available prior to 1993

d There is some overlap among the operators for the pipeline modes Therefore the total number of pipeline operators is lower than the sum for the three pipeline modese In 1975 and 1980 natural gas distribution includes master meter and mobile home park natural gas distribution operators A master meter system is a pipeline system for distributing gas within but not limited to a definable area such as a mobile home park housing project or apartment complex where the operator purchases metered gas from an outside source for resale through a gas distribution pipeline system The gas distribution pipeline system supplies the ultimate consumer who either purchases the gas directly through a meter or by other means such as by rents

SOURCESAir carriers 1960-2002 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics Quarterly (Washington DC Fourth quarter issues) Alphabetical List of Air Carriers by Carrier Group 2003 Ibid personal communication Oct 5 20042004-06 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics Quarterly (Washington DC Fourth quarter issues) Alphabetical List of Air Carriers by Carrier Group Railroads 1960-85 Association of American Railroads Railroad Ten-Year Trends Vol 2 (Washington DC) table I-21990-98 Ibid Vol 16 (Washington DC 1999) p 101999-2006 Ibid Railroad Facts (Washington DC Annual issues) p 3Interstate motor carriers 1990-2001 US Department of Transportation Federal Motor Carrier Safety Administration Motor Carrier Management Information System and personal communication Nov 6 20012002-05 US Department of Transportation Federal Motor Carrier Safety Administration Analysis and Information Online available at httpaivolpedotgovmcspaasp as of June 4 2004 and personal communication January 2007Marine vessel operators

US Army Corps of Engineers Waterborne Transportation Lines of the United States Volume 1 National Summaries (New Orleans LA Annual issues) table 13Pipeline Operators

US Department of Transportation Office of Pipeline Safety Gas Distribution Systems Gas Transmission amp Gathering Systems and Hazardous Liquid Pipeline Systems Annual Reporting and personal communication as of September 2008

Table 1-3 Number of US Airportsa

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL airports 15161 16319 17490 17581 17846 18317 18343 18224 18292 18345 18770 19098 19281 19356 19572 19581 19820 19854 19983 20341

Public use total 4814 5858 5589 5551 5545 5538 5474 5415 5389 5357 5352 5324 5317 5294 5286 5286 5288 5270 5233 5221Lighted runways percent 662 681 714 719 723 728 735 743 745 746 748 761 759 762 761 762 763 768 772 NPaved runways percent 723 667 707 715 716 722 729 733 737 740 742 742 743 746 745 745 745 748 753 N

Private use total 10347 10461 11901 12030 12301 12779 12869 12809 12903 12988 13418 13774 13964 14062 14286 14295 14532 14584 14757 14839Lighted runways percent 152 91 70 68 66 63 62 64 64 64 63 67 72 80 83 86 90 92 95 NPaved runways percent 133 174 315 320 322 327 330 330 329 330 332 318 320 324 324 327 328 332 333 N

TOTAL airports 15161 16319 17490 17581 17846 (R) 18317 18343 18224 18292 18345 18770 19098 19281 19356 19572 19581 19820 19854 19983 20341Certificatedb total 730 700 680 669 664 670 672 667 671 660 660 655 651 635 633 628 599 575 604 565

Civil N N N N N N 577 572 577 566 566 565 563 560 558 555 542 N N NMilitary N N N N N N 95 95 94 94 94 90 88 75 75 73 57 N N N

General aviation total 14431 15619 16810 16912 17182 (R) 17647 17671 17557 17621 17685 18110 18443 18630 18721 18939 18953 19221 19279 19379 19776 KEY N = data do not exist R = revised

a Includes civil and joint-use civil-military airports heliports STOL (short takeoff and landing) ports and seaplane bases in the United States and its territoriesb Certificated airports serve air-carrier operations with aircraft seating more than 9 passengers As of 2005 the Federal Aviation Administration (FAA) no longer certificates military airports

SOURCEUS Department of Transportation Federal Aviation Administration Administrators Fact Book (Washington DC March 2007) available at httpwwwfaagovaboutoffice_orgheadquarters_officesabaadmin_factbook as of Sep 23 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL paved and unpaved 3546 3690 3730 3838 3860 3864 3867 3884 3901 3905 3907 3912 3934 3958 3949 3930 3950 3962 3981 3988 3995 4010 4031Pavedb total 1230 1455 1658 1855 2073 2114 2255 2280 2303 2278 2342 2378 2381 2410 2420 2451 2504 2523 2578 2612 2578 2601 2630

Low and intermediate type 672 758 897 967 1041 1015 1025 1030 1026 1010 1043 1062 1066 dN dN dN dN dN dN dN dN dN dNHigh-type 558 696 762 888 1032 1099 1230 1250 1277 1268 1299 1316 1314 dN dN dN dN dN dN dN dN dN dN

Unpavedc total 2315 2235 2072 1983 1787 1750 1612 1604 1598 1628 1564 1534 1554 1548 1529 1479 1446 1439 1403 1376 1418 1409 1402

NOTES

SOURCES

KEY N = data do not exist

b Paved mileage includes the following categories low type (an earth gravel or stone roadway that has a bituminous surface course less than 1 thick) intermediate type (a mixed bituminous or bituminous penetration roadway on a flexible base having a combined surface and base thickness of less than 7) high-type flexible (a mixed bituminous or bituminous penetration roadway on a flexible base having a combined surface and base thickness of 7 or more high-type composite (a mixed bituminous or bituminous penetration roadway of more than 1 compacted material on a rigid base with a combined surface and base thickness of 7 or more high-type rigid (Portland cement concrete roadway with or without a bituminous wearing surface of less than 1)

a 1960-95 data include the 50 states and the District of Columbia 1996-2007 data include the 50 states District of Columbia and Puerto Rico

Table 1-4 Public Road and Street Mileage in the United States by Type of Surface a (Thousands of miles)

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-12 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

d Data no longer available for paved minor collectors and local public roads

A public road is any road under the jurisdiction of and maintained by a public authority (federal state county town or township local government or instrumentality thereof) and open to public travel No consistent data on private road mileage are available (although prior to 1980 some nonpublic roadway mileage are included) Most data are provided by the states to the US DOT Federal Highway Administration (FHWA) Some years contain FHWA estimates for some states

c Unpaved mileage includes the following categories unimproved roadways using the natural surface and maintained to permit passability graded and drained roadways of natural earth aligned and graded to permit reasonably convenient use by motor vehicles and that have adequate drainage to prevent serious impairment of the road by normal surface waterndashsurface may be stabilized and soil gravel or stone roadways drained and graded with a surface of mixed soil gravel crushed stone slag shell etcndashsurface may be stabilized The percentage of unpaved roads that are nonsurfaced dropped from approximately 42 in the 1960s to about 37 in the first half of the 1970s to about 32 in 1980 and has held at about 22 since 1985

Numbers may not add to totals due to rounding

1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC) table HM-212 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

1990 1991 1992 1993 1994 1995 1996 1997 b1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL urban and rural mileage 3866926 3883920 3901081 3905211 3906595 3912226 3919652 3945872 3906290 3917243 3936222 3948335 3966485 3974107 3981512 3995635 4016741Urban mileage total 744644 749862 785066 805877 813785 819706 826765 836740 841642 846085 852243 877004 894724 940969 981276 1009839 1029366

Principal arterials Interstates 11527 11602 12516 12877 13126 13164 13217 13247 13312 13343 13379 13406 13491 14460 15129 15703 16044Principal arterials other freeways and expressways 7668 7709 8491 8841 8994 8970 9027 9063 9127 9132 9140 9126 9323 9870 10246 10560 10748Principal arterials other 51968 52515 51900 52708 53110 52796 52983 53223 53132 53199 53314 53056 53439 56870 59695 61803 62830Minor arterials 74659 74795 80815 86821 87857 88510 89020 89185 89496 89432 89789 89962 90411 93888 97433 101673 102975Collectors 78254 77102 82784 84854 86089 87331 87790 88049 88071 88005 88200 88713 89247 97114 102150 106109 108833Local 520568 526139 548560 559776 564609 568935 574728 583973 588504 592974 598421 622741 638813 668767 696623 713991 727936

Rural mileage total 3122282 3134058 3116015 3099334 3092810 3092520 3092887 3109132 3064648 3071158 3083979 3071331 3071761 3033138 3000236 2985796 2987375Principal arterials Interstates 33547 33677 32951 32631 32457 32580 32820 32817 32813 32974 33048 33061 32992 32048 31443 30905 30586Principal arterials other 83802 86747 94947 96770 97175 97948 98131 98257 98852 98838 98919 99185 98853 97038 95946 95156 94937Minor arterials 144774 141795 137685 137577 138120 137151 137359 137497 137308 137462 137575 137587 137568 135596 135449 135408 135386Major collectors 436352 436746 434072 432222 431115 431712 432117 432714 432408 432934 433121 433284 430946 424288 420046 419999 419117Minor collectors 293922 293511 284504 282182 282011 274081 273198 272362 272140 271676 271803 271377 270700 267524 267842 264387 262841Local 2129885 2141582 2131856 2117952 2111932 2119048 2119262 2135485 2091127 2097274 2109513 2096837 2100702 2076644 2049510 2039941 2044508

Table 1-5 US Public Road and Street Mileage by Functional Systema

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-20 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

A public road is any road under the ownership of and maintained by a public authority (federal state county town or township local government or instrumentality thereof) and open to public travel No consistent data on private road mileage are available For more detailed information including breakouts of mileage by ownership and type of surface see the source document

SOURCES1990-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC) table HM-220 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

a Includes the 50 states and the District of Columbia When states did not submit reports data were estimated by the US Department of Transportation Federal Highway Administrationb Beginning in 1998 approximately 43000 miles of Bureau of Land Management roads are excluded

NOTES

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 d1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL lane-miles 7922174 8017994 8051081 8087793 8124090 8132196 8143014 8158253 8178654 8242437 8160858 8177983 8224245 8251847 8295171 8315121 8338821 8371718 8420589 8457353Urban total 1395245 1542339 1670496 1682752 1758731 1803775 1825877 1840107 1857649 1882676 1891608 1895986 1915503 1967047 2006436 2108650 2199155 2263360 2308602 2343858

Interstates 48458 57295 62214 62826 67266 69184 70832 71377 71790 72257 73006 73293 73912 74463 75107 79591 82926 85986 87944 89270Other arterialsb 333673 371649 399376 402360 418208 435386 442474 445828 449480 453623 454060 450411 456181 457567 462855 484171 505328 523838 532933 540189Collectors 145128 162377 167770 165288 176137 179653 183353 185032 186923 188850 187533 186334 188570 189538 190843 207356 217650 225548 231853 233853Local 867986 951018 1041136 1052278 1097120 1119552 1129218 1137870 1149456 1167946 1177009 1185948 1196840 1245479 1277631 1337532 1393251 1427988 1455872 1480546

Rural total 6526929 6475655 6380585 6405041 6365359 6328421 6317137 6318146 6321005 6359761 6269250 6281997 6308742 6284800 6288735 6206471 6139666 6108358 6111987 6113495Interstates 130980 131907 135871 136503 133467 132138 131266 131916 132963 133165 133231 134198 134587 134638 134570 130384 127889 125564 124380 123512Other arterialsb 507098 510005 517342 517813 526714 525906 529818 530706 532856 536989 537993 539293 540457 542337 544011 534278 532045 529555 525686 530476Collectorsc 1431267 1466789 1467602 1467561 1441466 1434473 1432189 1417428 1416662 1418637 1415774 1413953 1414667 1414155 1408752 1388515 1380712 1373348 1372906 1369500Local 4457584 4366954 4259770 4283164 4263712 4235904 4223864 4238096 4238524 4270970 4182252 4194553 4219031 4193670 4201402 4153294 4099020 4079891 4089015 4090007

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-60 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

In estimating rural and urban lane mileage the US Department of Transportation Federal Highway Administration assumes that rural minor collectors and urbanrural local roads are two lanes wide

SOURCES

1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management Highway Statistics Summary to 1995 (Washington DC) table HM-260 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

c Includes minor and major collectors d Beginning in 1998 approximately 138400 lane-miles of Bureau of Land Management roads are excluded

NOTE

a Includes the 50 States and the District of Columbia

b For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterials

Table 1-6 Estimated US Roadway Lane-Miles by Functional Systema

1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Amtrak 510 503 491 487 498 504 516 523 524 535 540 530 542 516 508 510 515 512 515 526 526 527 505 518Rail transit 1822 1895 1920 2164 2027 2143 2169 2192 2240 2286 2376 2382 2325 2391 2524 2567 2595 2621 2784 2797 2909 2936 2975 U

SOURCESAmtrak

Rail transit

2006 Ibid State Fact Sheets Internet site httpwwwamtrakcom as of Feb 16 20072007 Amtrak personal contact as of March 17 2008

Table 1-7 Number of Stations Served by Amtrak and Rail Transit Fiscal Year

KEY U = data are not available

US Department of Transportation Federal Transit Administration National Transit Database 2006 (Washington DC 2008) table 21 and similar tables in earlier editions

Rail transit is the sum of commuter rail heavy rail and light rail In several large urban areas Amtrak and commuter rail stations are shared Starting in 2001 stations serving the Alaska Railroad are included in the rail transit totalRail transit data for 2002 and later years include service both directly operated and purchased Prior to 2002 data only include directly operated service

NOTES

1984-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) 2003-04 Ibid State Fact Sheets Internet site httpwwwamtrakcom as of Nov 11 20052005 Ibid State Fact Sheets Internet site httpwwwamtrakcom as of Mar 22 2006

Year NumberADA

Equipped Percent NumberADA

Equipped Percent NumberADA

Equipped Percent NumberADA

Equipped Percent NumberADA

Equipped Percent1993 3964 3146 794 3542 1911 540 46413 23338 503 1807 693 384 55726 29088 5221994 4738 3795 801 3693 2153 583 46979 24398 519 1613 719 446 57023 31065 5451995 5372 4539 845 3879 2561 660 46355 27420 592 1716 861 502 57322 35381 6171996 5998 5269 878 4233 3081 728 45587 29073 638 1551 893 576 57369 38316 6681997 6853 6194 904 5136 4143 807 45502 29684 652 1484 911 614 58975 40932 6941998 7147 6545 916 5929 5150 869 46188 33512 726 1566 1071 684 60830 46278 7611999 8265 7722 934 6613 5959 901 46891 36029 768 1849 1503 813 63618 51213 8052000 8850 8366 945 7455 6926 929 47017 37581 799 2002 1712 855 65324 54585 8362001 9622 9176 954 7830 7337 937 47925 40501 845 2002 1771 885 67379 58785 8722002 9822 9743 992 8693 8550 984 47764 44035 922 2139 2079 972 68418 64407 9412003 10084 10002 992 9346 9127 977 46608 43780 939 2558 2466 964 68596 65375 9532004 10248 10098 985 10031 10031 1000 45919 44739 974 2591 2586 998 68789 67454 9812005 11118 10846 976 10631 10499 988 45524 43479 955 2231 2225 997 69504 67049 9652006 11537 11315 981 10993 10891 991 45403 44385 978 2294 2289 998 70227 68880 981

KEY ADA = Americans with Disabilities Act of 1992

SOURCE

Total buses

Includes buses of transit agencies receiving federal funding for bus purchases and buses of agencies not receiving federal funds that voluntarily report data to the Federal Transit AdministrationLarge buses have more than 35 seats medium buses have 25-35 seats small buses have less than 25 seats articulated buses are extra-long buses that measure between 54 and 60 feet

Table 1-8 ADA Lift- or Ramp-Equipped Transit Buses

1993-2006 US Department of Transportation Federal Transit Administration 2005 National Transit Summaries and Trends (Washington DC 2007) p 57 and similar tables in earlier editions Internet website httpwwwntdprogramgovntdprogrampubsNTST20062006_NTSTpdf as of Feb 11 2008

Small buses Medium buses Large buses Articulated buses

NOTES

Type of rail transit agency Primary city served 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Heavy railSan Francisco Bay Area Rapid Transit District San Francisco CA 36 39 39 39 39 39 39 43 43 43 43 43 0 0 0 0 0 0 0 0 0 0 0 0Los Angeles County Metropolitan Transportation Authority Los Angeles CA 5 8 8 13 16 16 16 16 16 16 16 16 0 0 0 0 0 0 0 0 0 0 0 0Washington Metropolitan Area Transit Authority Washington DC 74 75 75 76 78 83 83 83 83 86 86 86 0 0 0 0 0 0 35 0 0 0 0 0Miami-Dade Transit Miami FL 21 21 21 21 21 21 21 22 22 22 20 22 100 100 100 100 100 100 0 0 0 0 0 0Metropolitan Atlanta Rapid Transit Authority Atlanta GA 36 36 36 36 36 38 38 38 38 38 38 38 0 0 0 0 0 0 0 0 0 0 0 0Chicago Transit Authority Chicago IL 140 141 141 142 142 144 144 144 144 144 144 144 100 100 100 90 62 56 56 54 50 50 48 44Massachusetts Bay Transportation Authority Boston MA 53 53 53 53 53 53 53 53 53 53 53 53 38 38 38 30 30 28 25 21 21 21 21 8Maryland Transit Administration Baltimore MD 14 14 14 14 14 14 14 14 14 14 14 14 0 0 0 0 0 0 0 0 0 0 0 0Metropolitan Transportation Authority New York City Transit New York NY 468 468 468 468 468 468 468 468 468 468 468 468 94 94 94 93 91 91 91 89 88 86 85 84Port Authority Trans-Hudson Corporation New York NY 13 13 13 13 13 13 11 13 13 13 13 13 54 54 54 54 54 54 55 46 46 46 46 46Metropolitan Transportation Authority Staten Island Railway New York NY 22 22 22 22 22 23 23 23 23 23 23 23 91 91 91 91 91 87 83 83 83 78 78 78The Greater Cleveland Regional Transit Authority Cleveland OH 18 18 18 18 18 18 18 18 18 18 18 18 78 67 67 61 56 56 50 50 44 44 33 28Southeastern Pennsylvania Transportation Authority Philadelphia PA 76 76 76 76 76 76 53 75 75 75 75 75 95 95 95 95 95 95 75 77 76 76 76 68Port Authority Transit Corporation Philadelphia PA 13 13 13 13 13 13 13 13 13 13 13 13 77 77 62 62 62 62 62 62 62 62 62 62Commuter railAltamont Commuter Express San Jose CA U U U U U U 10 10 10 10 10 10 NA NA NA NA NA NA 0 0 0 0 0 0North San Diego County Transit District San Diego CA U U U U U U 8 8 8 8 8 8 NA NA NA NA NA NA 0 0 0 0 0 0Peninsula Corridor Joint Powers Board San Francisco CA U U U U U U 34 34 34 33 32 32 NA NA NA NA NA NA 35 29 29 27 28 25Southern California Regional Rail Authority Los Angeles CA U 45 46 46 47 49 51 53 53 54 54 54 NA 0 0 0 0 0 0 0 0 0 0 0Connecticut Department of Transportation New Haven CT U U U U U U 8 8 8 8 8 8 NA NA NA NA NA NA 0 0 0 0 0 0South Florida Regional Transportation Authority Miami FL U U U U U U 18 18 18 18 18 18 NA NA NA NA NA NA 0 0 0 0 0 0Northeast Illinois Regional Commuter Railroad Corporation Chicago IL 226 226 226 227 227 227 227 227 230 231 238 239 60 54 54 51 49 45 42 41 40 37 33 32Northern Indiana Commuter Transportation District Chicago IL 18 18 18 18 18 18 20 20 20 20 20 20 61 61 61 61 61 61 45 45 40 40 35 35Massachusetts Bay Transportation Authority Boston MA U U 117 119 120 121 124 125 126 126 126 126 NA NA 43 0 38 38 37 35 35 35 33 30Maryland Transit Administration Baltimore MD U U U U U U 42 42 42 42 42 42 NA NA NA NA NA NA 48 48 48 48 48 43New Jersey Transit Corporation New York NY 158 158 158 162 162 162 167 168 167 167 162 162 86 86 74 72 72 72 69 69 59 59 59 59Metropolitan Transportation Authority Long Island Rail Road New York NY 134 134 124 124 124 124 124 124 124 124 124 124 89 89 29 22 22 22 20 20 20 20 20 20Metropolitan Transportation Authority Metro-North Railroad New York NY 106 106 106 106 108 108 109 109 109 109 109 109 84 82 81 81 81 74 73 71 71 71 65 65Pennsylvania Department of Transportation Pennslyvania PA U U U U U U 14 12 12 12 12 12 NA NA NA NA NA NA 71 67 67 67 67 67Southeastern Pennsylvania Transportation Authority Philadelphia PA 181 177 177 177 177 177 153 156 156 156 156 156 86 83 83 83 83 83 69 67 67 65 65 65Dallas Area Rapid Transit Dallas TX U U U U U U 4 4 4 4 4 4 NA NA NA NA NA NA 0 0 0 0 0 0Fort Worth Transportation Authority Fort WorthTX U U U U U U 5 5 5 5 5 5 NA NA NA NA NA NA 0 0 0 0 0 0Virginia Railway Express Washington DC U U U U U U 18 18 18 18 18 18 NA NA NA NA NA NA 0 0 0 0 0 0Central Puget Sound Regional Transit Authority Seattle WA U U U U U U 7 9 9 9 9 9 NA NA NA NA NA NA 0 0 0 0 0 0Northern New England Passenger Rail Authority (NNEPRA) Portland ME NA NA NA NA NA NA NA NA NA NA NA 10 NA NA NA NA NA NA NA NA NA NA NA 0Regional Transity AuthoritY (RTA) Nashville TN NA NA NA NA NA NA NA NA NA NA NA 6 NA NA NA NA NA NA NA NA NA NA NA 0Light railLos Angeles County Metropolitan Transportation Authority Los Angeles CA 36 36 36 36 36 36 36 36 49 49 49 49 0 0 0 0 0 0 0 0 0 0 0 0San Francisco Municipal Railway San Francisco CA 11 11 11 11 11 11 9 9 9 9 9 9 100 100 100 100 100 100 0 0 0 0 0 0Sacramento Regional Transit District Sacramento CA 28 28 28 29 29 29 29 31 41 41 41 48 100 100 100 0 0 0 0 3 2 2 2 2San Diego Trolley Inc San Diego CA 38 41 49 49 49 49 49 49 49 49 53 53 0 0 0 0 0 0 2 2 2 2 0 0Santa Clara Valley Transportation Authority San Jose CA 33 34 34 34 47 49 44 44 57 57 65 65 85 85 85 85 55 53 0 0 0 0 0 0Denver Regional Transportation District Denver CO 15 15 15 15 20 20 20 24 23 23 36 36 0 0 0 0 0 0 0 0 0 0 0 0Hillsborough Area Regional Transit Authority Tampa-St Petersburg FL NA NA NA NA NA NA NA 8 8 8 8 8 NA NA NA NA NA NA NA 0 0 0 0 0New Orleans Regional Transit Authority New Orleans LA 2 9 9 9 9 9 9 9 9 NA 9 9 0 0 0 0 0 0 0 0 0 NA 0 0Massachusetts Bay Transportation Authority Boston MA 95 95 95 95 95 78 78 70 70 70 70 74 91 91 91 87 87 79 79 64 64 64 64 62Maryland Transit Administration Baltimore MD 24 24 32 32 32 32 32 32 32 33 33 33 0 0 0 0 0 0 0 0 0 0 0 0City of Detroit Department of Transportation Detroit MI NA NA NA NA NA 8 8 8 NA NA NA NA NA NA NA NA NA 100 100 100 NA NA NA NABi-State Development Agency St Louis MO 18 18 18 18 18 26 26 28 28 28 28 37 0 0 0 0 0 0 0 0 0 0 0 0New Jersey Transit Corporation Newark NJ 11 11 11 11 11 11 26 27 49 52 52 60 100 100 100 100 100 100 42 44 14 13 13 10Niagara Frontier Transportation Authority Buffalo NY 14 14 14 14 14 14 15 15 15 15 15 15 50 50 50 50 50 50 53 53 53 53 53 53The Greater Cleveland Regional Transit Authority Cleveland OH 33 33 33 34 34 34 34 34 34 34 34 34 94 85 85 79 79 76 76 76 76 76 76 74Tri-County Metropolitan Transportation District of Oregon Portland OR 27 27 29 47 47 47 52 52 62 63 63 63 4 4 3 2 2 2 0 0 0 0 0 0Port Authority of Allegheny County Pittsburgh PA 13 13 13 13 13 13 14 14 25 25 25 25 100 0 0 0 0 0 0 0 0 0 0 0Southeastern Pennsylvania Transportation Authority Philadelphia PA 64 64 64 64 64 64 68 46 46 46 46 45 100 100 100 100 100 100 96 100 98 98 98 98Memphis Area Transit Authority Memphis TN 20 20 27 28 28 28 28 1 7 7 7 7 0 0 0 0 0 0 0 0 0 0 0 0Dallas Area Rapid Transit Dallas TX 14 20 20 20 20 22 29 34 34 34 34 34 0 0 0 0 0 0 0 0 0 0 0 0Island Transit Galveston TX 3 3 3 U U U 3 3 3 3 3 3 0 0 0 NA NA NA 0 0 0 0 0 0Metropolitan Transit Authority of Harris County Houston TX NA NA NA NA NA NA NA NA 16 16 16 16 NA NA NA NA NA NA NA NA 0 0 0 0Utah Transit Authority Salt Lake City UT NA NA NA 16 16 20 20 23 23 24 25 25 NA NA NA 0 0 0 0 0 0 0 0 0Central Puget Sound Regional Transit Authority Seattle WA NA NA NA NA NA NA NA 6 6 6 6 6 NA NA NA NA NA NA NA 0 0 0 0 0King County Department of Transportation Seattle WA 14 14 14 9 9 9 9 9 9 9 9 NA 0 0 0 0 0 0 0 0 0 0 0 NAKenosha Transit Kenosha WI NA NA NA NA 1 1 2 2 2 (R) 2 2 2 NA NA NA NA 100 100 50 50 50 (R) 50 (R) 50 50Metro Transit Minneapolis MN NA NA NA NA NA NA NA NA NA NA NA 17 NA NA NA NA NA NA NA NA NA NA NA 47

Table 1-9 ADA-Accessible Rail Transit Stations by AgencyNumber of stations Percent of Stations Not ADA-Accessible

SOURCEUS Department of Transportation Federal Transit Administration National Transit Database (Washington DC Annual Issues) table 21 available at httpwwwntdprogramgov as of March 2009

KEY ADA = Americans with Disabilities Act of 1992 NA = not applicable R = revised U = data are not available

Rail transit data for 2002 and beyond include both directly operated and purchased transportation Prior to 2002 the data include directly operated service only Stations for US territories are excluded

NOTES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Oil pipeline total 190944 210867 218671 225889 218393 213605 208752 203828 196545 193980 190350 181912 177535 179873 178648 177463 176996 (R) 158248 (R) 160900 (R) 159648 (R) 161670 (R) 159512 169346

Crude linesa 141085 149424 146275 145679 129831 117812 118805 115860 110651 107246 103277 97029 92610 91523 87663 86369 85480 U U U U U UProduct lines 49859 61443 72396 80210 88562 95793 89947 87968 85894 86734 87073 84883 84925 88350 90985 91094 91516 U U U U U U

Gas pipelinebc total 630900 767500 913300 979300 1051800 1118900 1189200 1218200 1216100 1277200 1288400 1277600 1323600 1331800 1351200 1340300 1369300 1373500 1411400 1424200 1462300 1437500 1534300Distribution mains 391400 494500 594800 648200 701800 753400 864600 891400 892000 951800 955600 949800 1001800 1003100 1022100 1007500 1045600 1066300 1079600 1097900 1139800 1117800 1214000Transmission pipelinesd 183700 211300 252200 262600 266500 271200 292200 294100 291500 293300 301500 296900 292200 294000 300100 301000 296600 287100 309500 304000 298900 296400 300400Gathering linese 55800 61700 66300 68500 83500 94300 32400 32700 32600 32100 31300 30900 29600 34700 29000 31800 27100 20100 22300 22300 23700 23300 19900

2001-06 US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety Pipeline Statistics Internet site httpopsdotgovstatshtm as of June 4 2008

1960-2006 American Gas Association Gas Facts (Washington DC Annual issues) table 5-1 and similar tables in earlier editions

d After 1975 includes 5000-6200 miles of underground storage pipe

NOTE

SOURCESOil pipeline1960-2000 Eno Transportation Foundation Inc Transportation in America 2002(Washington DC 2002) p 58

Gas pipeline

Mileage data reported in Gas Facts prior to 1990 was taken from the American Gas Associations member survey the Uniform Statistical Report supplemented with estimates for companies that did not participate Gas Facts mileage data is now based on information reported to the US Department of Transportation on Form 7100

Table 1-10 US Oil and Gas Pipeline Mileage

e Before 1990 data include field line mileage

c Total gas pipeline in 2004 does not add to total due to rounding by the data source

KEY R = revised U = data are not available

a Includes trunk and gathering linesb Excludes service pipe Data are not adjusted to common diameter equivalent Mileage as of the end of each year

Section BVehicle Aircraft and

Vessel Inventory

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AirAir carriera 2135 2125 2679 2495 3808 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 UGeneral aviationb (active fleet) 76549 95442 131743 168475 211045 210654 198000 196874 185650 177120 172935 188089 191129 192414 204710 219464 217533 (R) 211535 (R) 211345 (R) 209778 219426 224352 221943Highway total (registered vehicles) 74431800 91739623 111242295 137912779 161490159 177133282 193057376 192313834 194427346 198041338 201801921 205427212 210441249 211580033 215496003 220461056 225821241 235331382 234624135 236760033 243010549 247421120 250851833Passenger car 61671390 75257588 89243557 106705934 121600843 127885193 133700496 128299601 126581148 127327189 127883469 128386775 129728341 129748704 131838538 132432044 133621420 137633467 135920677 135669897 136430651 136568083 135399945Motorcycle 574032 1381956 2824098 4964070 5693940 5444404 4259462 4177365 4065118 3977856 3756555 3897191 3871599 3826373 3879450 4152433 4346068 4903056 5004156 5370035 5767934 6227146 6686147Other 2-axle 4-tire vehicle N j 14210591 20418250 27875934 37213863 48274555 53033443 57091143 59993706 62903589 65738322 69133913 70224082 71330205 75356376 79084979 84187636 85011305 87186663 91845327 95336839 99124775Truck single-unit 2-axle 6-tire or more N 13999285 3681405 4231622 4373784 4593071 4486981 4480815 4369842 4407850 4906385 5023670 5266029 5293358 5734925 5762864 5926030 5703501 5650619 5848523 6161028 6395240 6649337Truck combinationc 11914249 786510 905082 1130747 1416869 1403266 1708895 1691331 1675363 1680305 1681500 1695751 1746586 1789968 1997345 2028562 2096619 2154174 2276661 1908365 2010335 2086759 2169670Bus 272129 314284 377562 462156 528789 593485 626987 631279 644732 654432 670423 685503 694781 697548 715540 728777 746125 749548 760717 776550 795274 807053 821959Transitd

Motor bus 49600 49600 49700 50811 59411 64258 58714 60377 63080 64850 68123 67107 71678 72770 72142 74228 75013 76075 76190 77328 81033 82027 (P) 83080Light rail cars 2856 1549 1262 1061 1013 717 910 1092 1055 1001 1051 1048 1114 1078 1076 1180 1327 1371 1448 1482 1622 1645 (P) 1801Heavy rail cars 9010 9115 9286 9608 9641 9326 10567 10478 10391 10282 10282 10166 10243 10228 10296 10362 10311 10718 10849 10754 10858 11110 (P) 11052Trolley bus 3826 1453 1050 703 823 676 610 551 665 635 643 695 675 655 646 657 652 600 616 672 597 615 (P) 609Commuter rail cars and locomotives N N N N 4500 4035 4982 5126 5164 4982 5126 5164 5240 5426 5536 5550 5498 5572 5724 5959 6228 6392 (P) 6403Demand response N N N N N 14490 16471 17879 20695 23527 28729 29352 30804 32509 29646 31884 33080 34661 34699 35954 37078 41958 (P) 43509Othere N N N N N 867 1197 1595 1853 2308 2505 2809 3003 3808 4703 5059 5208 5727 6330 6272 6566 (R) 7080 (P) 8741RailClass I Freight cars 1658292 1478005 1423921 1359459 1168114 867070 658902 633489 605189 587033 590930 583486 570865 568493 575604 579140 560154 499860 477751 467063 473773 474839 475415Class I Locomotive 29031 27780 27077 27846 28094 22548 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Nonclass I freight cars 32104 37164 29787 29407 102161 111086 103527 97492 90064 88513 86120 84724 87364 116108 121659 126762 132448 125470 130590 124580 120169 120195 120688Car companies and shippers freight cars 275090 285493 330473 334739 440552 443530 449832 458679 477883 497586 515362 550717 582344 585818 618404 662934 688194 688806 691329 687337 693978 717211 750404Amtrak Passenger train car N N N 1913 2128 1854 1863 1786 1796 1853 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186 1191Amtrak Locomotive N N N 355 419 291 318 316 336 360 338 313 299 332 345 329 378 401 372 442 276 258 319Water Nonself-propelled vessels f 16777 17033 19377 25515 31662 33597 31209 k 30899 30785 30730 31360 32811 33011 33509 33387 33152 33042 32381 31335 31296 32052 32211Self-propelled vessels g 6543 6083 6455 6144 7126 7522 8236 k 8311 8323 8334 8281 8293 8408 8523 8379 8202 8546 8621 8648 8994 8976 8898Oceangoing steam and motor ships (1000 gross tons and over)h 2914 2391 1579 870 849 748 635 621 600 586 544 512 509 495 473 470 461 454 443 416 412 357 286Recreational boats i 2450484 4138140 5128345 7303286 8577857 9589483 10996253 11068440 11132386 11282736 11429585 11734710 11877938 12312982 12565930 12738271 12782143 12876346 12854054 12794616 12781476 12942414 12746126

1960-97 American Public Transit Association Transit Fact Book (Washington DC 1999) table 44

2005-06 lbid personal communication September 2008Recreational boats

1960-2006 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) pgs 49 and 51AmtrakPassenger train-cars and locomotives1975-80 Amtrak State and Local Affairs Department personal communication

1998-2006 Ibid Public Transportation Fact Book (Washington DC 2008) table 15 and similar tables in earlier editions Rail (all categories except Amtrak)

1960-2006 US Department of Transportation US Coast Guard Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsstatshtm as of Mar 11 2008

1985-2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) p 472001-06 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar tables in earlier editionsWater transportationNonself-propelled vessels and self-propelled vessels

1960-2006 US Army Corps of Engineers Volume 1 National Summaries (New Orleans LA Annual issues) table 1 Oceangoing steam motor ships1960-2003 US Department of Transportation Maritime Administration US Flag Merchant Fleet Calendar Years 2003 through 1946 (Washington DC 2004) available at httpwwwmaraddotgov as of Dec 27 2005

2004 Ibid Top 20 Merchant Fleet of the World (Washington DC 2004) available at httpwwwmaraddotgov as of Dec 27 2005

1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Other 2-axle 4-tire vehicles

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Single-unit and combination trucks and buses

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Transit

1980 Ibid General Aviation Activity Survey Calendar Year 1980 (Washington DC 1981) table 1-31985 Ibid Calendar Year 1985 (Washington DC 1987) table 2-91990-2006 Ibid General Aviation and Air Taxi Activity Survey (Annual Issues) table 12 and similar tables in earlier editionsHighway

1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1969 (Washington DC 1969) table 910

SOURCES

1990-94 Ibid Calendar Year 1997 (Washington DC unpublished) table 51 personal communication Mar 19 1999

1970-75 Ibid Calendar Year 1976 (Washington DC 1976) table 8-6

c In 1960 this category includes all trucks and other 2-axle 4-tire vehicles

For more detail on oceangoing vessels see table 1-23

1995-2005 Aerospace Industries Association Aerospace Facts and Figures 20056 (Washington DC 2006) p 90 and similar tables in earlier editions General aviation

k Data for Jan 1 1991-June 30 1991 included in 1990 figure

i Recreational vessels that are required to be numbered in accordance with Chapter 123 of Title 46 USC

NOTES Transit motor bus figure is also included as part of bus in the highway category

Motorcycle

KEY N = data do not exist P = preliminary R = revised

a Air carrier aircraft are those carrying passengers or cargo for hire under 14 CFR 121 and 14 CFR 135 Beginning in 1990 the number of aircraft is the monthly average of the number of aircraft reported in use for the last three months of the year Prior to 1990 it was the number of aircraft reported in use during December of a given yearb 1991-94 data revised to reflect changes in adjustment for nonresponse bias with 1996 telephone survey factors 1995-97 data may not be comparable to 1994 and earlier years due to changes in methodology Includes air taxi aircraft

d Prior to 1984 excludes most rural and smaller systems funded via Sections 18 and 16(b)(2) Urban Mass Transportation Act of 1964 as amended Also prior to 1984 includes total vehicles owned and leasede Other includes aerial tramway automated guideway transit cablecar ferry boat inclined plane monorail and vanpoolf Nonself-propelled vessels include dry-cargo barges tank barges and railroad-car floatsg Self-propelled vessels include dry-cargo andor passenger offshore supply vessels railroad-car ferries tankers and towboatsh Beginning in 2006 vessels are reported if they are greater than 10000 deadweight tons and prior to 2006 boats of greater than 1000 deadweight tons were reported

j All trucks

Table 1-11 Number of US Aircraft Vehicles Vessels and Other Conveyances

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201

1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1970 (Washington DC 1970) table 53

AirAir carrier

1970-75 Ibid 1979 edition (Washington DC 1979) table 511980-85 Ibid Calendar Year 1986 (Washington DC 1986) table 51

Passenger car

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number of civilian aircraft (shipments)Transport a 245 233 311 315 387 278 521 589 567 408 309 256 269 374 559 620 485 526 379 281 (R) 285 (R) 290 398 441Helicopters N 598 482 864 1366 384 603 571 324 258 308 292 278 346 363 361 493 415 318 517 805 947 898 1009General aviation 7588 11852 7283 14072 11881 2029 1144 1021 899 964 928 1077 1115 1549 2193 2475 2802 2618 2196 2130 (R) 2344 (R) 2850 3147 3279HighwayPassenger car (new retail sales) 6641000 9332000 8399000 8624000 8979000 11043000 9300000 8175000 8214000 8518000 8990000 8635000 8526000 8272000 8141721 8698284 8846625 8422625 8103229 7610481 (R) 7545149 (R) 7719553 7820854 7618413Motorcycle (new retail sales) b N N 1125000 940000 1070000 710000 303000 280000 278000 293000 306000 309000 330000 356000 432000 546000 710000 850000 936000 1001000 1063000 1149000 1190000 1124000Truck (factory sales) c 1194475 1716564 1660446 2231630 1667283 3464327 3725205 3387503 4062002 4895224 5640275 5713469 5775730 6152817 6435185 7345019 7022478 6223586 6963720 7143429 7466739 (R) 7246737 6442831 6200712Bus includes school bus (factory sales) U 35241 31994 40530 34385 33533 32731 24058 22484 24549 22409 23918 27583 26882 27483 U U U U U U U U URecreational vehicle (shipments) N 192830 380300 339600 178500 351700 347300 293700 382700 420200 518800 475200 466800 438800 441300 481200 418300 321000 378700 377800 412100 419500 416800 353500Bicycled N N N N 9000000 11400000 10800000 11600000 11600000 13000000 12500000 12000000 10900000 11000000 11100000 11600000 11900000 11300000 13600000 12900000 13000000 14000000 12700000 12800000Transit cars (deliveries)Motor bus e (R) 2806 3000 1424 5261 4572 (R) 5390 (R) 5728 (R) 5961 (R) 4668 (R) 6524 (R) 9740 (R) 9317 (R) 9328 (R) 10529 (R) 9970 (R) 11331 (R) 11916 (R) 15958 (R) 10600 (R) 11754 (R) 9373 (R) 10394 (P) 10944 ULight rail 0 0 0 0 32 63 55 17 35 54 72 38 39 76 80 123 136 111 107 169 127 129 (P) 102 UHeavy rail 416 580 308 127 130 441 10 6 163 260 55 72 10 34 120 122 204 751 828 470 76 50 (P) 462 UTrolley bus 0 0 0 1 98 0 118 149 0 24 36 3 3 0 54 0 0 149 88 103 31 23 (P) 6 UCommuter rail 214 666 302 2165 152 179 83 187 110 8 47 38 111 198 122 132 116 54 166 338 571 476 (P) 137 UClass I rail (deliveries)Freight car f 57047 77822 66185 72392 85920 12080 32063 24678 25761 35239 48819 60853 57877 50396 75685 74223 55791 34260 17714 32184 46871 68612 74729 ULocomotive 389 1387 1029 772 1480 522 530 472 321 504 821 928 761 743 889 709 640 710 745 587 1121 827 922 UAmtrak (deliveries)Passenger train car N N N 109 109 N 58 0 0 0 64 76 92 10 0 0 26 U U U U U U ULocomotive N N N 30 17 10 0 0 20 26 18 10 0 111 35 0 4 U U U U U U UWater transportMerchant vessel g 20 13 13 15 23 14 0 0 3 0 1 1 0 1 4 2 0 2 2 6 (R) 5 7 U URecreational boat h N N N N 569700 636800 494700 448000 466750 498775 576200 663760 634750 610100 (R) 571400 (R) 582500 576800 880300 844100 837900 870100 (R) 864450 912130 841820

b Includes domestic and imported vehicles Prior to 1985 all terrain vehicles (ATVs) were included in the motorcycle total In 1995 the Motorcycle Industry Counrevised its data for the years 1985 to present to exclude ATVs from its totals

KEY N = data do not exist P = preliminary R = revised U = data are not availabl

d Includes domestic and imported vehicles wheel sizes 20 inches and over Data from 1997 onwards are projection

c Includes large passenger or utility vehicles that may be considered cars in other tables and starting in 1999 includes buse

Table 1-12 US Sales or Deliveries of New Aircraft Vehicles Vessels and Other Conveyances

2003-05 Motorcycle Industry Council Inc Motorcycle and Scooter Sales Climb for 14th Consecutive Year media release Feb 16 2007 available at httpwwwmotorcyclesorg as of Apr 23 2007

1995-2007 Aerospace Industries AssociationAerospace Statistics Group 1 General Statistics Series 02 Year-End Review and Forecast Year-End Data Tabletable 5 available at httpwwwaia-aerospaceorgindustry_informationeconomicsaerospace_statistics as of March 17 2009

f Includes all railroads and private car owners

a US-manufactured fixed-wing aircraft over 33000 pounds empty weight including all jet transports plus the 4-engine turboprop-powered Lockheed L-100

g Self-propelled 1000 or more gross tons

e Buses or bus-type vehicles only Includes demand response beginning from 1985 Excludes vanpool vans and most rural and smaller systems prior to 1984 Motor bus numbers in this table are not comparable to the numbers reported in earlier editions due to changes in the methodology by the American Public Transit Association Transit motor bus figure is also included as part of the bus total in the highway category

Motorcycles

Civilian aircraft

h Retail unit estimates Includes outboard inboard and sterndrive boats jet boats (since 1995) personal watercraft (since 1991) sailboats canoes and kayaks (since 2001) Also includes inflatable boats (except 1992 to 2002) and sailboards (until 1990)

1965-75 Ibid Motor Vehicle Facts amp Figures 1998 (Detroit MI 1998) p 12 and similar tables in earlier editions1980-2007 Wards Communications Motor Vehicle Facts amp Figures 2008 (Detroit MI 2008) p 13

SOURCES

1960-1994 Aerospace Industries AssociationAerospace Facts and Figures (Washington DC Annual issues) Civil Aircraft Shipments

HighwayPassenger cars and trucks

2006-07 Motorcycle Industry Council Inc Motorcycle and Scooter Sales Top One Million for Record Sixth Consecutive Year media release Feb 13 2009 available at httpwwwmotorcyclesorg as of March 2009

1960-80 American Automobile Manufacturers Association Motor Vehicle Facts amp Figures 1998 (Southfield MI 1999) p 21 (passenger car) and p 6 (truck)

1985-2007 Wards Communications Motor Vehicle Facts amp Figures 2008 (Detroit MI 2008) p 21 (passenger car) and p 8 (truck)

Buses1965-97 American Automobile Manufacturers Association Motor Vehicle Facts amp Figures 1998 (Detroit MI 1998) p 6 and similar tables in earlier editions

1998 Wards Communications Motor Vehicle Facts amp Figures 1999 (Detroit MI 1999) p 6 and similar tables in earlier editions

1980-2005 National Bicycle Dealers Association Industry Overview available at httpwwwnbdacom as of Apr 23 2007 and personal communication Sept 24 1996

Bicycles

Recreational vehicles

2006-07 National Bicycle Dealers Association A Look at the Bicycle Industrys Vital Statistics available at httpwwwnbdacom as of March 2009

Truck sales for 1960 and for 1999 and later includes buses

NOTE

1970-2000 Motorcycle Industry Council Inc Motorcycle Statistical Annual 2001 (Irvine CA 2002) p 8 and similar tables in earlier editions2001-02 Motorcycle Industry Council Inc Motorcycle Sales Rev Up for 11th Straight Year media release Feb 13 2004 available at httpwwwmicorg as of June 24 2004

Class I rail

1998-2007 National Marine Manufacturers Association2007 Recreational Boating Statistical Abstract (Chicago IL 2007) available at httpwwwnmmaorg asof March 17 2009

1980-1997 National Marine Manufacturers Association Boating 2004 (Chicago IL 2005) annual retail unit estimates available at httpwwwnmmaorg as of Fe7 2006

2003-05 US Department of Transportation Maritime Administration personal communications June 21 200

1975-80 Ibid Railroad Facts 1997 (Washington DC 1997) p 17 and similar pages in earlier editions1985-2000 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)WaterMerchant vessel

Transit

Recreational boat

1960-2002 US Department of Transportation Maritime Administration Merchant Fleets of the World (Washington DC Annual issues) and personal communications Sept 2 2003 Mar 1 2005 and Jan 9 2006

AmtrakAssociation of American RailroadsRailroad Facts 2007 (Washington DC 2006) p 55 and similar pages in earlier editions

American Public Transit Association Public Transportation Fact Book (Washington DC Annual issues) available at httpwwwaptacom as of March 17 2009

1965 1970 1975 1980 f1985 f1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AIR CARRIERa 2125 2679 2495 3805 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 UFixed Wing total 2104 2663 2488 3803 4673 6072 6048 7187 7173 7242 7293 7357 7482 7994 8106 8016 8370 8161 8144 8150 8182 UTurbojet total 725 2136 2114 2526 3164 4148 4167 4446 4584 4636 4832 4922 5108 5411 5630 5956 6296 6383 6523 6691 6839 U

Four engine 511 931 602 436 322 432 410 389 410 420 435 440 450 447 441 432 419 365 337 305 310 UThree engine 173 659 994 1347 1488 1438 1376 1381 1292 1236 1210 1212 1224 1238 1181 1061 996 790 602 519 540 UTwo engine 41 546 518 743 1354 2278 2381 2676 2882 2980 3187 3270 3434 3726 4008 4463 4881 5228 5584 5867 5989 U

Turboprop total 312 374 260 682 1073 1595 1598 1894 1868 1782 1713 1696 1646 1832 1788 1475 1494 1250 1123 989 889 UFour engine 215 110 68 92 108 88 75 107 102 87 81 56 45 39 28 29 24 17 16 17 7 UTwo engine 89 259 192 590 965 1507 1523 1787 1751 1695 1632 1635 1596 1789 1759 1440 1470 1233 1107 968 880 UOne engine 8 5 N N N N N N 15 0 0 5 5 4 1 0 0 0 0 4 2 U

Piston total 1067 153 114 595 436 329 283 847 721 824 748 739 728 751 688 585 580 528 498 470 454 UFour engine 447 34 37 73 38 31 26 20 22 19 15 18 19 17 19 17 16 12 13 20 20 UThree engine 590 110 69 N 4 6 5 5 0 5 1 7 4 3 3 3 3 3 3 2 2 UTwo engine 30 9 8 522 394 292 252 415 293 335 333 317 298 391 292 255 173 154 143 125 126 UOne engine N N N N N N N 407 406 465 399 397 407 340 374 310 388 359 339 323 306 U

Helicopter 21 16 7 2 5 11 6 133 124 128 118 121 134 117 122 39 127 33 32 36 43 UGENERAL AVIATION (GENERAL FLEET)b 95442 161743 168475 211043 196500 198000 196874 185650 177120 172935 188089 191129 192414 204710 219464 217533 211446 211244 209708 219426 224352 221943Fixed Wing total c93130 127934 161570 200094 184700 184500 182585 171671 156936 150158 162342 163691 166854 175203 184723 183276 177697 176283 176624 182867 185373 182186Turbojet total N 950 1776 2992 4100 4100 4126 4004 3663 3914 4559 4424 5178 6066 7120 7001 7787 8355 7997 9298 9823 10379

Two engine N d822 d1742 2551 3600 3700 3863 3738 3426 3652 4071 4077 4638 5513 6387 6215 5643 7655 7465 8649 9097 10379Other N 128 e34 441 50 400 263 266 237 262 488 347 539 552 733 786 831 701 532 650 727 NA

Turboprop total N 1458 2519 4089 5000 5300 4941 4786 4116 4092 4995 5716 5619 6174 5679 5762 6596 6841 7689 8379 7942 8063Two engine N 1287 d2486 3966 4900 4900 4415 4187 3443 3605 4295 4917 4939 5076 4641 5040 5643 5703 5790 5858 5307 5487One engine N 138 33 N N N N N 650 481 668 719 650 1033 1018 678 915 1108 1821 2468 2595 2576Other N 33 N 123 100 400 526 599 24 7 32 80 29 65 21 45 38 30 78 54 40 NA

Piston total 92556 125526 157275 193013 175600 175200 173518 162881 149156 142152 152788 153551 156056 162963 171923 170513 163314 161087 160938 165189 167608 163743Two engine d11422 15835 d20331 24366 22100 21100 20551 17966 15626 14750 15706 16082 15938 18659 20930 20951 18192 17483 17491 18469 19412 18708One engine 81134 109492 136944 168435 153400 154000 152836 144837 133516 127351 137049 137401 140038 144234 150886 149422 145034 143503 143265 146613 148101 145036Other N 199 N 212 100 100 131 77 14 51 33 68 79 70 108 140 89 101 182 107 95 NA

Rotorcraft total 1503 2255 4073 6001 6000 6900 6238 5979 4721 4728 5830 6570 6786 7425 7448 7150 6783 6648 6525 7821 8728 9159Piston N 1666 2499 2794 2700 3200 2390 2348 1846 1627 1863 2507 2259 2545 2564 2680 2292 2351 2123 2315 3039 3264Turbine total N 589 1574 3207 3300 3700 3848 3631 2875 3101 3967 4063 4527 4881 4884 4470 4491 4297 4403 5506 5689 5895

Multiengine N N N N N N N N 629 616 733 643 764 843 839 694 884 686 853 1130 1151 733One engine N 589 N N N N N N 2246 2485 3234 3420 3762 4038 4045 3776 3607 3611 3550 4376 4537 3234

Other Aircraft total 809 1554 2832 4945 5800 6600 8051 8000 5037 5906 4741 4244 4092 5580 6765 6700 6545 6377 6008 5939 6454 6277Gliders N N N N N N N N 1814 2976 2182 1934 2016 2105 2041 2041 1904 1951 2002 2116 2074 1975Lighter-than-Air N N N N N N N N 3223 2931 2559 2310 2075 3475 4725 4660 4641 4426 4006 3823 4380 4303

Experimental total N N N N N N N N 10426 12144 15176 16625 14680 16502 20528 20407 20421 21936 20550 22800 23627 23047Amateur Built N N N N N N N N 6171 8833 9328 11566 10261 13189 16858 16739 16736 18168 17028 19165 19817 19316Exhibition N N N N N N N N 1868 637 2245 2094 1798 1630 1999 1973 2052 2190 2031 2070 2120 2103Other N N N N N N N N 2387 2674 3603 2965 2620 1684 1671 1694 1633 1578 1491 1565 1691 1629

Table 1-13 Active US Air Carrier and General Aviation Fleet by Type of Aircraft (Number of carriers)

KEY N = data do not exist

1992-2006 lbid General Aviation and Air Taxi Activity Survey Calendar Year 2006 (Washington DC 2006) table 12 Internet site httpwwwfaagovdata_statisticsaviation_data_statisticsgeneral_aviation as of Dec 18 2007

1980 Ibid General Aviation Activity and Avionics Survey Annual Report Calendar Year 1980 FAA-MS-81-5 (Washington DC December 1985) table 2-61985 Ibid Annual Summary Report 1994 Data FAA-APO-95-10 (Washington DC 1996) table 121990 Ibid General Aviation and Air Taxi Activity Survey Calendar Year 1999 (Washington DC 2001) table 121991 Ibid General Aviation and Air Taxi Activity Survey Calendar Year 2002 (Washington DC 2004) table 12

General aviation 1965 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1966 Edition (Washington DC 1966) table 511970 Ibid Calendar Year 1971 (Washington DC 1972) table 831975 Ibid Calendar Year 1975 (Washington DC Dec 31 1975) table 84

1980 Ibid Calendar Year 1980 (Washington DC Dec 31 1980) table 521985 Ibid Calendar Year 1993 FAA-APO-95-5 (Washington DC 1995) table 521990-94 Ibid Calendar Year 1996 Internet site httpwwwapifaagovhandbook96toc96htm as of Mar 31 2000 table 521995-2005 Aerospace Industries Association Aerospace Facts and Figures (Washington DC 2006) Active US Air Carrier Fleet and similar tables in earlier editions

Air carriers

1965 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1966 Edition (Washington DC 1966) table 751970 Ibid Calendar Year 1971 (Washington DC 1972) table 551975 Ibid Calendar Year 1975 (Washington DC Dec 31 1975) table 53

NOTE

Prior to 1970 aircraft counts included aircraft retained in FAA data systems until the owners requested that they be deregistered As a result thousands of aircraft that had been destroyed over the years remained in the system Since 1970 annual verification of aircraft registrations is required Failure to comply with this requirement leads to revocation of theregistration certificate and exclusion of the aircraft from the official count of the following year Listed engine configurations (eg two- three- multi-) represent all applicable combinations for each aircraft type Totals may not agree with those in other tables as revisions to prior year data are reported at the aggregate level only

SOURCES

d Multienginee Single-enginef Source reported rounded data for general aviation

a Air carrier aircraft are aircraft carrying passengers or cargo for hire under 14 CFR 121 (large aircraft-more than 30 seats) and 14 CFR 135 (small aircraft-30 seats or less) This definition is more encompassing than that in the Federal Aviation Administration (FAA) Aviation Forecast- jet aircraft 60 seats or more carrying passengers or cargo for hire Beginning in 1990 the number of aircraft is the monthly average reported in use for the last three months of the year Prior to 1990 it was the number of aircraft reported in use during December of a given year b Columns may not add to totals due to estimation procedures and rounding Beginning in 1993 excludes commuters Prior to 1993 single engine turboprops were included in Other turboprops single and multiengine turbine rotorcraft were not shown separately gliders and lighter-than-air aircraft were combined into the Other category and experimental aircraft were included in the appropriate aircraft type For example prior to 1993 the single engine piston aircraft type included both experimental and nonexperimental aircraft Starting in 1993 that aircraft type only includes nonexperimental aircraft Due to changes in methodology beginning in 1995 estimates may not be comparable to those for 1994 and earlier years Values for 1991 through 1994 were revised to reflect changes in adjustment for nonresponse bias c Total includes 574 turbine aircraft of unspecified subtype

f f f f

f f f f

Table 1-14 US Automobile and Truck Fleets by Use (Thousands)

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001e 2002e 2003e 2004e 2005e

TOTAL automobiles and trucks in fleets U U U U U 15257 15570 15869 16879 15530 15196 13642 11985 12128 11884 12274Automobiles in fleets total U U U U U 9042 9124 9225 9550 7742 7346 6640 5600 5647 5514 5621Automobiles in fleets of 25 or more (10 or more cars for 1999-2001 and 15 or more cars for 2002-04)a

Businessb 2889 2628 2492 1751 1722 1326 1295 1188 1159 3195 2950 2620 930 929 873 877Governmentc 538 504 516 401 428 1214 1209 1218 1030 885 883 734 1360 1420 1200 1200Utilities 551 544 548 386 382 376 376 377 359 320 317 U U U U U f

Police 249 250 264 264 266 269 274 280 289 302 306 312 317 317 402 412Taxi (includes vans) 141 141 140 140 141 139 130 181 190 135 136 142 148 148 156 162Rental (includes vans and SUVs) 990 1160 1448 1501 1473 1518 1590 1608 1602 1733 1581 1542 1555 1520 1570 1620

Automobiles in fleets of 4 to 24 (4 to 9 cars for 1999-2001 and 5 to 14 cars for 2002-05)a U U U U U 4200 4250 4373 4921 1172 1173 1290 1290 1313 1313 1350Trucks in fleets total U U U U U 6215 6446 6644 7329 7788 7850 7002 6385 6481 6370 6653Trucks in fleets of 25 or more (10 or more trucks for 1999-2001 and 15 or more cars for 2002-05)a

Businessd U U 1080 1378 1375 1205 1275 1332 1360 3016 3026 2820 2180 2181 2337 2370Governmentc U U 297 632 646 2221 2215 2223 2010 2400 2408 2052 2070 2102 1615 1615Utilities U U 593 493 487 480 482 483 459 499 498 U U U U U f

Other (police taxi etc) U U 7 7 7 7 7 7 8 8 8 9 9 9 26 37Rental trucks (not including vans and SUVs) U U 304 308 363 202 197 179 181 213 248 246 251 289 492 521

Trucks in fleets of 4 to 24 (4 to 9 trucks for 1999-2001 and 5 to 14 cars from 2002-05)a

U U U U U 2100 2270 2420 3311 1652 1662 1875 1875 1900 1900 2110KEY SUV = sport utility vehicle U = data are not available

a The data source Bobit Publishing changed data collection categories in 1999 and again in 2002b Includes driver schoolsc Includes military vehicles and federal state county and local government vehiclesd Businesses with Class 1-5 trucks may include leasing construction plumbing heating food distribution pest control cable TV etc e 2001-2005 data do not include employee-owned fleet information as the source has stopped publishing the dataf Business and utility data have been combined in the 2002 2003 2004 and 2005 issues of the Automotive Fleet Fact Book

SOURCEBobit Publishing Co Automotive Fleet Fact Book annual issues

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Production total 7905 11120 8284 8987 8010 11638 9767 8790 9691 10855 12239 11995 11830 12131 12003 13025 12774 11425 12280 12087 11960 11947 11260

Passenger cars 6703 9335 6550 6717 6376 8186 6078 5440 5667 5982 6601 6340 6083 5934 5554 5638 5542 4879 5019 4510 4230 4321 4367Commercial vehiclesa 1202 1785 1734 2270 1634 3452 3690 3350 4025 4873 5638 5655 5747 6197 6448 7387 7231 6546 7261 7577 7731 7625 6893

Factory (wholesale) sales total 7869 11057 8239 8985 8067 11467 9775 8795 9747 10857 12189 12023 11916 12223 12112 12127 12527 11108 U U U U UPassenger cars 6675 9306 6547 6713 6400 8002 6050 5407 5685 5962 6549 6310 6140 6070 5677 5428 5504 4884 U U U U UCommercial vehiclesa

1194 1752 1692 2272 1667 3464 3725 3388 4062 4895 5640 5713 5776 6153 6435 6699 7022 6224 (R) 7286 (R) 7606 (R) 7759 (R) 7656 6925KEY U = data are not available R = revised

Table 1-15 Annual US Motor Vehicle Production and Factory (Wholesale) Sales (Thousands of units)

SOURCE

1960-2006 Wards Motor Vehicle Facts amp Figures 2007 (Southfield MI 2007) p 3

a Includes trucks under 10000 pounds gross vehicle weight rating (GVWR) such as compact and conventional pickups sport utility vehicles minivans and vans and trucks and buses over 10000 pounds GVWRNOTESFactory sales can be greater than production total because of sales from previous years inventoryNumbers may not add to totals due to rounding

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total new passenger car sales 8400 8624 8949 10979 9303 8189 8213 8518 8991 8635 8526 8272 8142 8698 8847 8423 8103 7610 7506 7667 7781Domesticb 7119 7053 6580 8205 6919 6162 6286 6742 7255 7129 7255 6917 6762 6979 6831 6325 5878 5527 5357 5481 5436Imports 1280 1572 2369 2775 2384 2028 1927 1776 1735 1506 1271 1355 1380 1719 2016 2098 2226 2083 2149 2187 2345

Japan 313 808 1894 2171 1719 1505 1452 1328 1239 982 726 726 691 758 863 837 930 830 810 923 1154Germany 750 493 292 408 263 193 201 186 192 207 237 297 367 467 517 523 547 544 542 534 561Other 217 271 184 196 402 330 275 262 303 317 308 332 322 494 637 738 749 709 797 729 630

Table 1-16 Retail a New Passenger Car Sales (Thousands of units)

1980-2006 Wards Motor Vehicle Facts amp Figures 2007 (Southfield MI 2007) p 22

Numbers may not add to totals due to rounding

1970 American Automobile Manufacturers Association Motor Vehicle Facts amp Figures 1992 (Detroit MI 1992) p 161975 Wards Motor Vehicle Facts amp Figures 2004 (Southfield MI 2004) p 22

NOTE

SOURCES

a Retail new car sales include both sales to individuals and to corporate fleets It also includes leased carsb Includes cars produced in Canada and Mexico

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total vehicle sales and leases 51390 49599 49807 51940 55186 56476 55891 56351 56375 57618 58964 59742 59835 60215 59411 61086 59070 58547New vehicle sales and leases 13860 12309 12857 13883 15045 14718 15090 15114 15534 16879 17344 17118 16810 16643 16866 16948 16504 17129

Passenger cars 9300 8175 8214 8518 8990 8636 8527 8273 8142 8697 8852 8422 8102 7615 7505 7667 7781 8085Light Trucks 4560 4134 4643 5365 6055 6081 6563 6842 7392 8183 8492 8696 8708 9029 (R) 9361 9281 8724 9044

New vehicle salesa 13285 11566 11654 12031 12526 12070 12127 11690 11947 12468 13181 13510 13639 13594 13609 13551 13271 13671Passenger cars 8766 7508 7332 7321 7275 6841 6721 6211 5968 6396 6580 6407 6370 5932 5737 5806 6088 6342Light Trucks 4519 4058 4322 4710 5251 5228 5406 5480 5979 6073 6601 7103 7269 7663 7872 7745 7184 7329

New vehicle leasesb 575 743 1203 1852 2519 2648 2963 3424 3587 4411 4163 3608 3171 3049 3257 3397 3233 3458Passenger cars 534 667 882 1197 1715 1795 1806 2062 2174 2301 2272 2015 1732 1683 1768 1861 1693 1743Light Trucks 41 76 321 655 804 853 1157 1362 1413 2110 1891 1593 1439 1366 1489 1536 1540 1715

Used vehicle salesc 37530 37290 36950 38057 40141 41758 40801 41237 40841 40739 41620 42624 43025 43572 42545 44138 42566 41418Value ($ in billions)d

Total new and used vehicle sales 446 438 486 524 582 611 627 642 651 698 (R) 737 737 721 738 (R) 765 (R) 776 786 774New vehicle sales 227 208 240 267 291 292 298 306 316 348 380 369 371 382 407 (R) 421 445 435Used vehicle sales 219 230 246 257 291 319 329 336 335 350 (R) 356 367 350 356 (R) 358 (R) 355 341 339

Average Price (current $)d

New and used vehicle sales 8672 8823 9759 10078 10543 10818 11221 11385 11545 12098 (R) 12469 12321 12034 12253 (R) 12868 (R) 12695 13827 13451New vehicle sales 16350 16880 18655 19200 19335 19819 19727 20214 20276 20534 21850 21507 22005 22894 24082 (R) 27496 26854 26950Used vehicle sales 5830 6157 6656 6742 7245 7644 8073 8139 8211 8587 (R) 8547 8619 8130 8180 (R) 8410 (R) 8036 8009 8186

KEY R = revised

New vehicle sales

New vehicle leases

Used vehicle sales value and average price

d Includes leased vehicles

SOURCESNew vehicle sales and leases

Table 1-17 New and Used Passenger Car Sales and Leases (Thousands of vehicles)

Calculated by US Department of Transportation Bureau of Transportation Statistics

Manheim Consulting Used Car Market Report (Atlanta GA Annual issues) Internet site httpwwwmanheimconsultingcom as of Mar 12 2008

NOTEVehicle sales value of sales and average prices are from different sources and cannot be calculated from the data presented in this table

US Department of Commerce Bureau of Economic Analysis Underlying Detail for the National Income and Product Account Tables Internet site httpwwwbeadocgov as of Mar 12 2008 table 725S

CNW Marketing Research personal communication Mar 18 2007

a New vehicle sales data is calculated by subtracting CNW Marketings vehicle leasing data from BEAs data which combines sales and leases (see below for sources)b Consumer leases onlyc Used car sales include sales from franchised dealers independent dealers and casual sales

1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007Total sales and leases of new cars 9333 8402 8538 8982 10978 9300 8175 8214 8518 8990 8636 8527 8273 8142 8697 8852 8422 8102 7615 7505 7667 7780 7588

Consumer 7103 6252 5907 6100 7092 5677 4424 4566 4656 4600 4326 4079 3907 3980 4389 4680 4632 4524 4341 4251 4308 4298 4088Business 2140 2056 2508 2758 3754 3477 3648 3529 3672 4183 4070 4223 4166 3943 4076 3949 3568 3373 3074 3061 3143 3236 3250Government 90 94 123 124 132 146 103 119 190 207 241 225 199 218 232 224 223 205 200 193 216 246 251

Percentage of total sales and leasesConsumer 761 744 692 679 646 610 541 556 547 512 501 478 472 489 505 529 550 558 570 566 562 552 539Business 229 245 294 307 342 374 446 430 431 465 471 495 504 484 469 446 424 416 404 408 410 416 428Government 10 11 14 14 12 16 13 15 22 23 28 26 24 27 27 25 26 25 26 26 28 32 33

Table 1-18 Retail Sales and Leases of New Cars by Sector (Thousands of vehicles)

NOTES

This table includes imported cars but not vans trucks or sport utility vehicles

1970-2007 Ibid Underlying Detail for the National Income and Product Account Tables table 725S available at httpwwwbeagov as of November 20081965 US Department of Commerce Bureau of Economic Analysis National Income and Wealth Division unpublished data

KEY R = revised

Annual numbers are calculated by averaging seasonally adjusted monthly data

SOURCES

Numbers may not add to totals due to rounding

Government sales are determined by subtracting the consumer and business sales from total sales

Table 1-19 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and Imported Automobiles (Thousands of vehicles)1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007

SalesTOTAL units 9443 10791 8810 8524 8108 8456 8415 9396 7890 8335 7972 8379 9128 8408 (R) 8304 (R) 7951 7538 8025 8109 7580Small Cars 4825 5519 4999 5032 4440 4537 4720 5190 4197 4443 3839 3919 4266 4065 (R) 3801 (R) 3698 3275 3183 3243 2562Midsize Cars 2987 2777 2342 2114 2120 2330 2057 2515 2359 2399 2968 3141 2894 2480 2807 2483 2522 2886 2425 2748Large Cars 963 1512 1092 1012 1240 1103 1277 1306 1066 1195 913 1059 1665 1416 1252 1261 1185 1234 1548 1390Small Wagons 310 496 160 209 143 301 206 198 90 149 99 78 68 212 236 338 300 365 486 635Midsize Wagons 257 341 184 122 137 166 138 176 169 149 153 181 234 236 208 171 158 238 308 153Large Wagons 102 145 31 34 27 19 16 10 9 0 0 0 0 0 0 0 98 118 98 91Market share percentSmall Cars 511 511 567 590 548 537 561 552 532 533 482 468 467 483 458 (R) 465 434 397 400 338Midsize Cars 316 257 266 248 261 276 244 268 299 288 372 375 317 295 338 312 335 360 299 363Large Cars 102 140 124 119 153 130 152 139 135 143 115 126 182 168 151 159 157 154 191 183Small Wagons 33 46 18 25 18 36 24 21 11 18 12 09 07 25 28 43 40 45 60 84Midsize Wagons 27 32 21 14 17 20 16 19 21 18 19 22 26 28 25 22 21 30 38 20Large Wagons 11 13 04 04 03 02 02 01 01 00 00 00 00 00 00 00 13 15 12 12Fuel economy mpgFleet 235 27 278 280 276 282 280 283 283 284 285 282 282 284 286 289 289 295 292 294Small Cars 261 298 298 300 300 305 304 307 308 309 309 303 303 307 307 306 305 311 31 303Midsize Cars 216 249 262 260 258 261 259 261 265 265 271 271 270 272 277 283 287 298 296 308Large Cars 191 223 237 236 238 242 241 245 243 245 246 248 256 254 260 260 260 264 259 253Small Wagons 286 325 296 306 302 325 329 333 316 322 321 315 292 273 261 302 314 325 314 332Midsize Wagons 211 252 253 259 262 262 260 266 263 263 262 263 273 266 274 272 264 260 278 267Large Wagons 191 209 (R) 227 (R) 229 (R) 227 (R) 225 (R) 229 (R) 228 (R) 232 NA NA NA NA NA NA NA 220 222 217 223KEY mpg = miles per gallon NA = not applicable R = revised

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Energy Office of Energy Efficiency and Renewable Energy Transportation Energy Data Book Edition 27 table 47 (Oak Ridge TN) available at httpctaornlgovdataindexshtml as of November 2008

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007Salesa

TOTAL units 1863 3669 3805 4049 4064 4754 5710 5749 5254 6124 6485 6839 7447 7202 7815 7824 8173 7866 6932 7290Small Pickups 452 497 289 309 252 263 358 298 221 131 260 213 101 81 197 194 161 8 8 0Midsize Pickups 98 616 600 873 716 743 1040 700 698 690 829 761 766 545 466 527 378 216 284 281Large Pickups 887 964 945 738 872 996 1271 1273 1036 1587 1326 1571 1746 1893 1717 1753 1967 2076 1831 1753Small Vans 16 93 30 15 40 12 11 6 2 0 0 0 0 0 0 0 0 0 0 0Midsize Vans 130 600 1124 943 1088 1323 1295 1552 1298 1126 1357 1292 1522 938 1131 1121 893 1429 1092 927Large Vans 96 162 107 76 93 106 112 104 109 139 132 171 170 294 112 111 60 55 57 29Small SUV 60 115 189 136 129 144 188 189 120 489 316 314 400 390 354 264 256 215 119 175Midsize SUV 100 563 447 904 799 1038 1265 1397 1528 1401 1623 1762 1863 1944 1802 2093 2502 2079 2105 2199Large SUV 23 57 72 54 75 129 169 230 241 560 642 754 879 1115 2034 1760 1955 1790 1440 1926Market share percentSmall Pickups 243 135 76 76 62 55 63 52 42 21 40 31 14 11 25 25 20 01 01 00Midsize Pickups 53 168 158 216 176 156 182 122 133 113 128 111 103 76 60 67 46 27 41 39Large Pickups 476 263 248 182 215 210 223 221 197 259 204 230 234 263 220 224 241 264 264 240Small Vans 09 25 08 04 10 03 02 01 00 00 00 00 00 00 00 00 00 00 00 00Midsize Vans 70 164 295 233 268 278 227 270 247 184 209 189 204 130 145 143 109 182 158 127Large Vans 52 44 28 19 23 22 20 18 21 23 20 25 23 41 14 14 07 07 08 04Small SUV 32 31 50 34 32 30 33 33 23 80 49 46 54 54 45 34 31 27 17 24Midsize SUV 54 153 117 223 197 218 222 243 291 229 250 258 250 270 231 268 306 264 304 302Large SUV 12 16 19 13 18 27 30 40 46 91 99 110 118 155 260 225 239 228 208 264Fuel Economy mpgFleet 186 206 207 213 208 210 208 205 208 206 209 205 208 206 206 209 208 214 219 221Small Pickups 243 267 248 250 246 263 249 244 246 249 245 232 263 265 232 232 226 258 263 NAMidsize Pickups 259 257 247 246 238 237 240 247 248 242 239 225 228 218 211 228 218 236 238 237Large Pickups 172 177 180 182 183 187 184 180 182 189 186 185 193 189 187 189 190 194 197 197Small Vans 190 255 239 240 270 282 270 265 262 NA NA NA NA NA NA NA NA NA NA NAMidsize Vans 169 198 218 219 218 223 220 222 228 226 233 230 235 240 237 241 241 242 247 247Large Vans 160 161 165 167 169 170 170 171 171 186 183 179 180 177 179 187 194 194 194 197Small SUV 188 221 234 236 234 232 241 242 285 228 238 241 225 249 247 252 247 230 222 226Midsize SUV 143 197 191 202 199 200 198 196 200 205 208 210 210 217 218 224 225 230 237 246Large SUV 143 169 167 162 157 163 164 166 173 175 174 172 176 185 191 188 189 199 204 208

Table 1-20 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and Imported Light Trucks (Thousands of vehicles)

a Sales period is October 1 of the previous year through September 30 of the current year These figures represent only those sales that could be matched to corresponding US Environmental Protection Agency fuel economy values

SOURCE

US Department of Energy Office of Energy Efficiency and Renewable Energy Transportation Energy Data Book Edition 27 table 48 (Oak Ridge TN) available at httpctaornlgovdataindexshtml as of November 2008

KEY mpg = miles per gallon SUV = sport utility vehicle NA = not applicable

NOTESNumbers may not add to totals due to rounding Total units are now taken directly from the source and may differ slightly from previous editions

Table 1-21 Number of Trucks by Weight

Thousands of trucks Percent

change 1992-

1997

Percent

change 1992-

20021992 1997 2002

ALL trucks 592008 728003 851748 230 439

Light Trucks

Less than 6001 lb 505457 627984 626173 242 239

Medium Trucks

6001 to 10000 lb 46475 53015 171423 141 2688

10001 to 14000 lb 6943 8189 11421 179 645

14001 to 16000 lb 2824 3159 3959 119 402

16001 to 19500 lb 2823 3008 3761 66 332

Light-heavy Trucks

19501 to 26000 lb 7320 7293 9103 -04 244

Heavy Trucks

26001 to 33000 lb 3873 4277 4368 104 128

33001 to 40000 lb 2326 2567 2288 104 -16

40001 to 50000 lb 3386 3999 3184 181 -60

50001 to 60000 lb 2267 3114 3266 374 441

60001 to 80000 lb 7811 10698 11787 370 509

80001 to 100000 lb 333 463 689 390 1069

100001 to 130000 lb 123 179 264 455 1146

130000 lb or more 46 59 63 283 370

Not reported lt50 lt50 N N N

KEY lb = pound N = data do not exist

NOTESAverage vehicle weight is the empty weight of the vehicle plus the average load of the vehicle

Excludes vehicles owned by Federal state or local governments ambulances buses motor homes farm tractors unpowered trailer units and trucks reported to have been sold junked or wrecked prior to July 1 of the year preceding the 1992 and 1997 surveys and January 1 2002 for the 2002 survey

SOURCES

1992 1997 US Census Bureau 1997 Economic Census Vehicle Inventory and Use Survey United States EC97TV-US (Washington DC 1999)

2002 US Census Bureau 2002 Economic Census Vehicle Inventory and Use Survey United States EC02TV-US (Washington DC 2004)

1961 1971 1981 1991 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total world 11391 26453 27407 35287 35730 36111 37318 38474 37286 38816 40732 40144 41215 41782 42832 44113 46512US percent of world 48 32 23 15 19 18 16 15 15 15 14 12 12 11 10 10 9Argentina 78 193 139 114 338 227 269 366 353 225 239 170 111 110 171 183 263Australia 182 393 352 269 323 314 303 320 350 294 324 286 307 366 341 320 298Austria 8 1 7 14 45 59 97 98 91 124 116 131 131 119 227 231 248Belgium N 279 216 253 409 386 368 356 319 218 912 1059 937 792 852 895 882Brazil 98 342 406 705 1248 1297 1459 1680 1244 1102 1348 1482 1521 1505 1756 2009 2092Canada 328 1083 803 1060 1214 1337 1279 1374 1122 1626 1551 1275 1369 1340 1336 1356 1390China N N N 81 250 321 382 482 507 570 620 704 1091 2019 2316 3118 3869Czech Republicb 59 149 181 173 174 208 263 321 368 348 428 457 441 436 443 599 850France 988 2694 2612 3188 3175 3051 3148 2259 2603 2676 2883 3182 3284 3220 2913 3113 2728Germany 1802 3829 3758 4677 4094 4360 4540 4678 5348 5310 4803 5301 4799 5145 5192 5350 5399India 22 42 42 179 237 330 396 410 384 519 514 548 706 907 940 999 1186Italy 694 1701 1257 1633 1341 1422 1318 1563 1402 1410 1422 1272 1126 1026 834 726 893Japan 250 3718 6974 9753 7802 7611 7864 8491 8056 8100 8363 8118 8619 8478 8720 9017 9757South Korea N N 69 1158 1806 2003 2265 2308 1625 2362 2602 2471 2651 2768 2054 2195 2298Malaysia N N N 102 137 164 176 280 126 200 280 345 U U U U UMexico N 154 355 720 857 699 798 855 953 994 1130 1001 960 774 782 846 1098Netherlands 13 78 78 85 92 100 145 197 243 262 215 189 182 163 188 115 87Poland 14 86 248 168 349 347 353 295 460 651 533 367 287 285 516 527 609Portugal N N N N 38 41 119 186 181 187 191 177 183 166 151 138 143Romania N N N 84 85 71 76 108 104 88 58 57 U U U U URussia 149 518 1324 1308 796 838 868 982 U 946 966 1022 981 1010 1110 1068 1174Spain 55 453 855 1943 1974 2131 2213 2342 2217 2029 2445 2211 2267 2399 2403 2098 2079Sweden 110 287 258 269 353 388 368 376 368 385 260 248 238 280 290 289 289Taiwan N N N 266 291 282 265 268 293 255 265 195 245 265 300 324 211Turkey N 13 25 196 213 233 208 243 U U 297 175 204 294 447 454 546United Kingdom 1004 1742 955 1237 1467 1532 1686 1698 1748 1787 1629 1492 1628 1658 1647 1596 1442United States 5522 8584 6253 5439 6614 6351 6083 5927 5554 5638 5542 4879 5019 4510 4230 4321 4367Yugoslavia Federal Republic ofc 15 114 240 213 8 8 9 11 U U U U U U U U U

Table 1-22 World Motor Vehicle Production Selected Countries (Thousands of vehicles)Passenger carsa

1961 1971 1981 1991 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total world 3809 6948 9729 11996 13952 13926 14147 14988 14811 16132 16796 16181 17757 18549 21131 21638 22049US percent of world 30 30 17 28 40 40 40 41 44 46 43 40 41 41 37 35 31Argentina 58 60 33 25 70 59 44 80 105 80 101 66 48 60 89 137 169Australia 49 77 40 15 31 17 19 29 34 17 25 34 37 48 64 69 20Austria 5 6 8 6 3 9 9 10 12 16 25 24 20 21 21 23 27Belgium 1 17 41 84 70 82 69 74 87 74 121 129 119 113 43 31 36Brazil 47 174 374 255 334 332 346 388 329 242 323 316 271 322 454 519 519Canada 63 277 520 829 1106 1071 1118 1198 1050 1430 1411 1258 1260 1213 1376 1332 1182China N N N 628 1103 1114 1084 1096 1121 1235 1389 1628 2160 2425 2754 2590 3410Czech Republicb 17 28 49 29 6 8 9 47 42 27 27 8 6 5 5 5 5France 217 316 408 423 383 424 443 322 351 357 469 447 409 400 439 386 446Germany 411 312 358 358 262 307 303 345 379 378 395 390 346 361 378 408 421India 32 47 107 176 238 306 366 336 129 261 282 277 186 254 571 643 772Italy 65 116 176 245 194 245 227 254 290 291 316 308 301 295 308 313 319Japan 789 2093 4206 3492 2752 2585 2482 2484 1994 1805 1781 1660 1639 1808 1791 1783 1728South Korea N N 65 340 506 523 548 510 329 471 513 475 496 410 1416 1505 1542Malaysia N N N 0 0 0 0 0 7 5 15 14 U U U U UMexico N 57 242 269 266 236 422 503 500 540 792 856 845 801 771 838 948Netherlands 6 13 12 26 23 32 19 20 28 25 52 50 49 56 60 65 72Poland 22 60 60 25 16 34 48 27 39 44 24 20 23 14 76 85 106Portugal N N N 26 87 16 13 81 90 65 56 62 68 74 76 82 84Romania N N N 10 5 22 23 21 23 19 14 12 U U U U URussia 406 612 874 744 206 156 136 192 U 226 237 228 239 269 275 285 328Spain 20 79 132 139 168 203 199 220 609 644 587 639 588 630 610 654 699Sweden 22 30 55 75 82 102 95 104 114 109 36 38 38 43 48 35 39Taiwan N N N 116 132 124 101 113 112 95 100 77 92 122 131 123 92Turkey N 12 22 46 31 49 69 102 U U 133 95 142 240 376 426 442United Kingdom 443 456 230 217 228 233 238 238 233 186 189 193 193 189 209 207 208United States 1131 2088 1690 3372 5649 5635 5716 6192 6452 7387 7228 6546 7261 7577 7731 7656 6893Yugoslavia Federal Republic ofc 5 18 27 26 2 2 1 2 U U U U U U U U U

Commercial vehiclesd

1961 1971 1981 1991 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total world 15200 33401 37136 47283 49682 50036 51465 53463 52098 54948 57528 56325 58973 60331 63963 65750 68561US percent of world 44 32 21 19 25 24 23 23 23 24 22 20 21 20 19 18 16Argentina 136 253 172 139 409 286 313 446 458 305 340 236 159 170 260 320 432Australia 231 470 392 284 354 331 322 349 384 311 348 319 344 413 405 389 318Austria 13 7 15 20 48 68 106 108 103 139 141 155 151 140 249 253 275Belgium 1 296 257 337 479 468 437 430 406 291 1033 1187 1056 904 895 927 918Brazil 145 516 780 960 1582 1629 1805 2067 1573 1344 1671 1798 1793 1827 2210 2528 2611Canada 391 1360 1323 1889 2321 2408 2397 2571 2173 3057 2962 2532 2629 2553 2712 2688 2571China N N N 709 1353 1435 1466 1578 1628 1805 2009 2332 3251 4444 5071 5708 7280Czech Republicb 76 177 230 202 180 216 272 369 411 376 455 465 447 442 448 605 855France 1205 3010 3020 3611 3558 3475 3591 2581 2954 3033 3352 3628 3693 3620 3352 3499 3174Germany 2213 4141 4116 5035 4356 4667 4843 5023 5727 5688 5198 5692 5145 5507 5570 5758 5820India 54 89 149 355 475 636 762 746 513 780 796 825 892 1161 1511 1642 1958Italy 759 1817 1433 1878 1534 1667 1545 1817 1693 1701 1738 1580 1427 1322 1142 1038 1212Japan 1039 5811 11180 13245 10554 10196 10346 10975 10050 9905 10145 9777 10258 10286 10512 10800 11484South Korea N N 134 1498 2312 2526 2813 2818 1954 2832 3115 2946 3148 3178 3469 3699 3840Malaysia N N N 102 137 164 176 280 134 205 295 359 U U U U UMexico N 211 597 989 1123 935 1220 1358 1453 1534 1923 1857 1805 1575 1553 1684 2046Netherlands 19 91 90 111 115 132 164 218 271 287 267 239 231 219 248 181 159Poland 36 146 308 193 365 381 401 322 499 695 556 387 310 300 592 612 715Portugal N N N 26 125 57 132 267 271 252 247 240 251 239 227 219 227Romania N N N 94 90 93 99 129 127 107 72 69 U U U U URussia 555 1130 2198 2052 1002 994 1004 1174 U 1172 1203 1250 1220 1280 1385 1353 1502Spain 75 532 987 2082 2142 2334 2412 2562 2826 2672 3033 2850 2855 3030 3012 2753 2777Sweden 132 317 313 344 435 490 463 480 483 494 296 286 276 323 339 324 327Taiwan N N N 382 423 406 366 381 405 350 365 272 337 387 431 446 303Turkey N 25 47 242 244 282 277 344 U U 431 271 347 534 823 879 988United Kingdom 1447 2198 1185 1454 1695 1765 1924 1936 1981 1973 1817 1685 1821 1846 1856 1803 1650United States 6653 10672 7943 8811 12263 11985 11799 12119 12006 13025 12771 11425 12280 12087 11960 11977 11260Yugoslavia Federal Republic ofc 20 132 267 239 9 10 10 14 U U U U U U U U U

SOURCE

c Yugoslavia no longer exists and Wards does not report numbers for countries that were previously a part of Yugoslovia

Total Passenger carsa and Commercial vehiclesd

Numbers may not add to totals due to rounding

KEY N = data do not exist U = data are not available

Wards Motor Vehicle Facts amp Figures 2007 (Southfield MI 2007) p 14 and similar pages in previous editions

a Does not include minivans pickups and sport utility vehiclesb Formerly Czechoslovakia and Wards does not report a number for Slovakia

d Includes all trucks and buses Light trucks such as pickups sport utility vehicles and minivans are included under commercial vehicles NOTES

Prior to 2000 the country of manufacture was recognized as the producing country To conform with current OICA (International Organization of Motor Vehicle Manufacturers) practices starting in 2000 the country of final assembly was recognized as the producing country This explains the sudden change in trends across some countries from 1999 to 2000

Beginning in 1998 some smaller countries not listed in this table are included in the world totals

Table 1-23 Number and Size of the US Flag Merchant Fleet and Its Share of the World Fleet(Oceangoing ships of 1000 gross tons and over)

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007World fleet 17317 18329 19980 22872 24867 25555 23596 23943 23753 24331 25092 23943 23753 24331 25092 25608 26858 27557 27825 28259 28318 28296 28761 28650 29035 28956 31477 32976US fleet 2926 2376 1579 857 864 737 636 619 603 565 543 619 603 565 543 509 495 477 470 463 454 443 426 418 412 391 347 216US Percentage of the world fleet 169 130 79 37 35 29 27 26 25 23 22 26 25 23 22 20 18 17 17 16 16 16 15 15 14 14 11 07Freighters Total 2138 1747 1076 511 471 417 367 359 349 322 308 359 349 322 308 295 292 288 289 284 286 283 276 209 205 (R) 255 (R) 221 124

DWT (thousands) 21877 18127 11733 7051 6885 7353 7265 7156 7211 7040 6866 7156 7211 7040 6866 6517 6419 6458 6732 6696 6680 6635 6404 5092 5043 (R) 6182 (R) 5457 4058General cargoa

N N N 356 259 209 166 165 182 169 152 165 182 169 152 142 146 142 140 137 136 132 126 123 121 123 96 21 DWT (thousands) N N N 4640 3329 2980 2605 2592 2973 2913 2677 2592 2973 2913 2677 2472 2467 2420 2400 2404 2362 2162 1838 1810 1784 1674 1379 239Containership N N N 109 121 104 92 92 83 87 86 92 83 87 86 81 83 85 91 89 90 91 90 86 84 90 76 82 DWT (thousands) N N N 1773 2289 2651 2856 2856 2722 2812 2802 2856 2722 2812 2802 2600 2639 2743 3096 3056 3058 3200 3292 3282 3259 3660 3102 3426Partial containerships N N N 37 68 63 59 52 30 3 3 52 30 3 3 3 1 1 N N N N N N N N N N DWT (thousands) N N N 510 940 904 836 741 456 57 57 741 456 57 57 57 17 17 N N N N N N N N N NRORO N N N 9 23 41 50 50 54 63 67 50 54 63 67 69 62 60 58 58 60 60 60 65 65 42 49 21 DWT (thousands) N N N 128 327 818 968 967 1060 1258 1330 967 1060 1258 1330 1388 1296 1278 1236 1236 1260 1273 1273 1431 1431 848 976 393Tankers Total 422 341 294 267 308 258 233 226 220 210 200 226 220 210 200 181 173 161 154 154 142 130 120 109 104 100 89 62 DWT (thousands) 7815 7561 7739 9711 16152 15534 15641 14993 14180 13048 11945 14993 14180 13048 11945 11028 10378 9696 9289 9373 8447 7532 6552 5792 5640 5228 4974 3842Petroleumchemicalb ships N N N N N 244 219 212 206 196 186 212 206 196 186 167 159 148 145 146 142 130 120 109 104 100 89 62 DWT (thousands) N N N N N 14574 14681 14033 13279 12143 11040 14033 13279 12143 11040 10123 9473 8857 8737 8845 8447 7532 6552 5792 5640 5228 4974 3842Liquefied petroleum natural gas ships N N N N N 14 14 14 14 14 14 14 14 14 14 14 14 13 9 8 N N N N N N N N DWT (thousands) N N N N N 960 960 960 901 905 905 960 901 905 905 905 905 839 552 528 N N N N N N N NCombinationpassenger and cargo Total 309 227 171 60 65 37 10 10 11 12 13 10 11 12 13 13 15 14 12 11 11 13 12 15 18 15 19 14 DWT (thousands) 2070 1488 1107 388 446 299 91 92 97 104 115 92 97 104 115 115 139 136 116 99 99 105 100 91 108 82 107 46Bulk carriers Total 57 61 38 19 20 25 26 24 23 21 22 24 23 21 22 20 15 14 15 14 15 17 18 20 20 21 18 15 DWT (thousands) 805 1107 767 544 607 1152 1270 1014 991 949 1042 1014 991 949 1042 925 575 321 604 579 604 706 797 837 837 670 543 593KEY DWT = deadweight tons N = data do not exist R = revised RORO = roll-onroll-off vessels

a Includes barge carriersb Includes integrated tugbarges

NOTES Excludes non-merchant type andor US Navy-owned vessels currently in the National Defense Reserve Fleet

Excludes ships operating exclusively on the Great Lakes and inland waterways and special types such as channel ships icebreakers cable ships and merchant ships owned by military forces All data are as of December 31 of year shown 2004 data is as of July 1 2004

SOURCES 1960-2000 US Department of Transportation Maritime Administration Merchant Fleets of the World (Washington DC Annual issues) and unpublished revisions2001-2007 US Department of Transportation Maritime Administration personal communication as of January 2008

Section CCondition

Table 1-24 US Airport Runway Pavement Conditions1986 1990 1993 1997 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

NPIASa airports number 3243 3285 3294 3331 3344 3361 3364 3358 3346 3356 3357 3365 3372 3356Good condition (percent) 61 61 68 72 72 73 73 71 75 75 75 77 78 79Fair condition (percent) 28 29 25 23 23 22 22 24 21 21 21 19 19 18Poor condition (percent) 11 10 7 5 5 5 5 5 4 4 4 4 3 3Commercial service airportsb number 550 568 554 566 547 546 546 536 510 513 517 517 514 522Good condition (percent) 78 78 79 79 78 79 79 79 80 82 79 79 80 81Fair condition (percent) 15 17 18 19 20 19 19 19 18 16 19 18 18 17Poor condition (percent) 7 5 3 2 2 2 2 2 2 2 2 3 2 2KEY NPIAS = National Plan of Integrated Airport Systems

a The US Department of Transportation Federal Aviation Administrations (FAAs) National Plan of Integrated Airport Systems is composed of all commercial service airports all reliever airports and selected general aviation airports It does not include over 1000 publicly owned public-use landing areas privately owned public-use airports and other civil landing areas not open to the general public NPIAS airports account for almost all enplanements In 2005 there were approximately 16500 non-NPIAS airports See table 1-3 for more detail on airports

b Commercial service airports are defined as public airports receiving scheduled passenger service and having at least 2500 enplaned passengers per year

NOTESData are as of January 1 of each year Runway pavement condition is classified by the FAA as followsGood All cracks and joints are sealedFair Mild surface cracking unsealed joints and slab edge spallingPoor Large open cracks surface and edge spalling vegetation growing through cracks and joints

SOURCESCondition

1986-90 US Department of Transportation Federal Aviation Administration National Plan of Integrated Airport Systems (Washington DC 1991)1993 Ibid National Plan of Integrated Airport Systems (Washington DC 1995) 1997 1999-2008 US Department of Transportation Federal Aviation Administration Office of Airport Planning and Programming National Planning Division personal communication Sep 29 2008Total number of airportsIbid personal communication Sep 29 2008

Year Automobiles Light trucksa All trucksb

1990 65 N 651991 67 N 681992 70 N 721993 73 71 751994 75 72 751995 77 74 761996 79 75 771997 81 73 781998 83 71 761999 83 69 722000 83 67 692001 83 61 682002 84 66 682003 86 65 672004 89 64 662005 90 66 682006 92 68 692007 92 71 73

Mean age of household vehicles for several yearsc

Automobile Van Sport utility Pickup Other truckRVmotor

home1969 51 N N N N N1977 55 64 N 73 116 451983 72 85 N 85 124 1071990 76 59 N 84 145 1041995 82 67 66 97 149 1322001 85 70 61 94 168 125

SOURCES

Median age of automobiles

Mean age of household vehiclesUS Department of Transportation Federal Highway Administration 1995 Nationwide Personal Transportation Survey Summary of Travel Trends (Washington DC 1999) US Department of Transportation Federal Highway Administration Bureau of Transportation Statistics 2001 National Household Travel Survey (NHTS) Data available at httpnhtsornlgov2001indexshtml as of Aug 21 2003

Table 1-25 Median Age of Automobiles and Trucks in Operation in the United States

a Gross vehicle weight 1-3

NOTE

KEY N = data do not exist

The RL Polk Co R L Polk amp Co Reports Vehicle Age In US On The Rise available at httpusapolkcomNewsLatestNews as of August 2008

b Gross vehicle weight 1-8

Data for median age of automobiles are as of July 1 of each year

CThe 1969 1977 1983 and 1990 surveys do not include a separate category for sports utility vehicles (SUV) while the 1995 and 2001 surveys do In the 1990 most SUVs were classified as automobiles

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006RURALInterstates miles reported 33547 33677 33027 29089 31502 31254 31312 31431 30498 32820 32888 32951 32907 31956 31341 30802 30512Poor percent 87 76 52 70 65 63 39 36 41 24 21 19 21 16 20 17 10Mediocre percent b b 141 277 265 207 191 191 165 140 122 117 102 98 104 95 90Fair percent 319 317 174 209 239 223 217 207 178 181 169 154 155 154 145 136 128Good percent b b 276 361 332 369 388 410 426 440 448 433 440 439 469 470 465Very good percent 595 607 356 83 99 139 166 157 190 215 239 277 282 293 262 282 307Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 3563 955 1326 1508 1382 2313 153 162 109 84 87 103 92 71Other principal arterials miles reported 83802 85729 94798 78296 89506 89265 92103 92170 93333 97247 97297 97947 97854 96656 95390 94216 94500Poor percent 34 36 33 29 24 44 14 16 14 09 08 07 07 07 09 (R) 08 (R) 08Mediocre percent b b 59 92 82 76 58 49 46 37 32 30 27 28 33 (R) 28 (R) 25Fair percent 426 445 346 548 574 511 491 477 433 415 387 373 356 355 359 (R) 335 (R) 313Good percent b b 285 267 266 279 344 372 383 405 429 425 442 446 449 458 465Very good percent 538 519 276 64 54 90 93 86 123 135 144 165 167 164 149 171 189Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 17905 7489 8683 6028 6083 5524 1587 1619 1247 1009 386 552 946 430Minor arterials miles reported 144735 142866 137637 134837 124877 121443 126381 126525 130591 135192 136096 134698 136955 134984 134884 134358 134914Poor percent 46 43 39 39 35 37 23 23 19 17 17 17 13 13 14 (R) 14 (R) 17Mediocre percent b b 71 91 105 90 82 67 60 52 53 52 45 48 51 (R) 40 (R) 42Fair percent 482 473 364 535 579 547 507 504 472 473 462 449 436 430 443 (R) 420 (R) 407Good percent b b 253 250 236 239 310 336 343 344 356 369 391 412 395 416 415Very good percent 472 484 268 85 45 87 77 70 106 114 112 113 116 97 96 110 118Unpaved percent ndash ndash N N N N N N N N N N N N N N NMiles not reporteda N N N 12740 13294 15708 10978 10978 6664 1968 1436 2883 606 607 573 1049 455Major collectors miles reported 436365 436737 434175 432223 431111 431712 432117 386122 171134 389134 388488 389573 389125 383414 379061 378722 378753Poor percent 89 77 78 68 65 65 67 78 88 154 85 76 77 74 69 65 62Mediocre percent b b 110 124 113 114 103 123 130 158 127 128 118 117 119 120 117Fair percent 438 452 323 377 335 308 344 376 335 448 437 437 434 443 465 463 470Good percent b b 177 163 161 174 200 230 213 172 220 234 249 251 235 242 234Very good percent 362 361 204 159 219 237 184 193 234 67 132 125 122 114 111 110 117Unpaved percent 111 110 107 109 107 102 101 N N N N N N N N N NMiles not reporteda N N N N N N N 2402 217566 N N N N N N N N

URBANInterstates miles reported 11527 11603 12466 10738 12338 12307 12430 12477 12231 13109 13139 13261 13367 14331 14984 15544 15899Poor percent 86 77 71 106 130 104 86 90 94 73 65 74 77 77 72 60 24Mediocre percent b b 132 309 299 268 283 270 255 231 217 208 206 191 177 168 190Fair percent 322 323 170 236 242 238 247 244 218 225 214 209 203 188 195 186 184Good percent b b 280 283 267 275 307 329 320 349 371 359 360 366 382 420 414Very good percent 591 600 347 65 62 114 76 67 114 120 133 149 154 179 174 166 187Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 2140 788 857 787 771 1040 230 226 147 123 131 140 157 139Other freeways and expressway miles reported 7670 7714 8465 7011 7618 7804 8410 8480 8772 8860 8796 8955 9242 9786 10143 10443 10659Poor percent 22 23 26 38 53 48 34 33 32 26 28 31 27 24 21 (R) 19 (R) 15Mediocre percent b b 59 94 127 98 87 87 87 81 81 71 76 83 76 (R) 60 (R) 50Fair percent 439 442 324 606 581 547 547 585 543 536 507 506 486 457 455 (R) 447 (R) 430Good percent b b 281 227 209 204 263 252 271 290 316 315 333 350 374 396 401Very good percent 539 535 310 35 29 103 68 42 66 68 68 77 79 86 74 79 103Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 1846 1377 1166 617 579 397 281 353 176 82 81 98 108 84Other principal arterials miles reported 51987 52349 52165 30337 38598 41444 44498 45009 44886 48045 47890 48931 50016 53431 56831 59743 61064Poor percent 59 66 68 92 125 124 118 121 129 125 132 129 133 127 122 (R) 118 (R) 111Mediocre percent b b 115 133 163 147 141 146 185 181 168 164 164 164 155 (R) 157 (R) 145Fair percent 490 491 348 550 508 472 489 495 453 452 451 457 461 467 468 (R) 472 (R) 449Good percent b b 214 193 166 159 175 178 176 188 194 195 194 195 (R) 200 201 214Very good percent 451 443 253 33 38 97 77 60 58 54 54 55 49 47 55 53 82Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 22498 14492 11352 8485 8209 8246 5154 5426 4126 3422 3440 2863 2064 1765Minor arterials miles reported 74656 74979 80368 86819 87852 88510 89020 88484 45275 88663 88338 88260 89559 92527 96170 100290 101637Poor percent 89 74 79 79 67 67 69 72 57 194 100 105 105 114 130 123 122Mediocre percent b b 143 138 123 136 130 130 122 174 160 159 161 165 158 152 146Fair percent 485 499 341 402 381 369 379 379 360 407 398 411 407 416 408 407 401Good percent b b 192 184 205 204 207 214 221 142 169 168 174 167 159 164 162Very good percent 421 421 240 194 221 221 211 206 240 83 173 157 153 138 145 154 169Unpaved percent 05 06 05 04 03 03 04 N N N N N N N N N NMiles not reporteda N N N N N N N 374 43435 N N N N N N N NCollectors miles reported 78248 77097 82657 84856 86098 87331 87790 86666 53806 86821 86030 86267 87754 94939 99675 103979 106843Poor percent 165 112 105 106 98 97 97 106 81 221 147 146 154 165 181 169 188Mediocre percent b b 169 168 162 168 166 160 128 175 174 173 174 175 167 166 161Fair percent 504 535 352 400 400 390 392 390 394 377 357 366 368 360 343 358 351Good percent b b 173 161 170 172 182 184 188 128 142 135 137 134 132 144 129Very good percent 317 342 191 155 160 166 154 159 209 99 180 181 167 166 177 163 171Unpaved percent 13 11 11 10 09 08 09 N N N N N N N N N NMiles not reporteda N N N N N N N 663 32921 N N N N N N N N

TABLE 1-26 Condition of US Roadways by Functional System

Numbers may not add to totals due to rounding

KEY N = data do not exist ndash = value too small to report

a Historical differences in miles not reported result from the transition from the Present Serviceability Rating (PSR) to the International Roughness Indicator (IRI) b Included in row below

NOTES

Interstates have stricter roughness standards than other roads and its roughness classifications are not comparable with the other categories

SOURCES

1990-92 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-63

1993-2006 Ibid table HM-63 for rural major collector urban minor arterial and urban collector and table HM-64 for all other categories

Data are for the 50 states and the District of Columbia The terms poor and mediocre as used here are Federal Highway Administration (FHWA) pavement condition criteria term categories for quantitative International Roughness Index and Present Serviceability Ratings For further information see US Department of Transportation FHWA Status of the Nations Highways Bridges and Transit 2002 Conditions and Performance Report Exhibit 3-3 available at httpwwwfhwadotgovpolicy as of November 2008 Comparisons of data between pre-1993 and 1993 and later years are difficult because of the transition to a new pavement condition indicator beginning with data published in 1993 Thus trend comparisons should be made with care For additional information refer to the accuracy profile for this table in the appendix Total mileage in this table will not match that in table 1-5 due to a change in the method of preparing mileage data derived from the Highway Performance Monitoring System beginning with the 1997 issue of FHWAs Highway Statistics

Table 1-27 Condition of US Highway Bridges1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

TOTAL all bridges 572205 574036 572197 573716 576460 581135 581863 582751 582976 585542 589674 589685 590887 591940 593813 595363 597340 599766 601396Urban 108770 112363 115312 117488 121141 122537 124950 127633 128312 130339 133384 133401 135339 135415 137598 142408 146041 151171 153407Rural 463435 461673 456885 456228 455319 458598 456913 455118 454664 455203 456290 456284 455548 456525 456215 452955 451299 448595 447989

Structurally deficient bridges total 137865 134534 118698 111980 107683 104317 101518 98475 93072 88150 86678 83595 81261 79775 77752 75923 73784 72520 71461Urban 16847 17032 16323 15932 15692 15205 15094 14846 14073 12967 13079 12705 12503 12316 12175 12600 12585 12951 12896Rural 121018 117502 102375 96048 91991 89112 86424 83629 78999 75183 73599 70890 68758 67459 65577 63323 61199 59569 58565

Functionally obsolete bridges total 100355 97593 80393 80000 79832 80950 81208 77410 79500 81900 81510 81439 81537 80990 80567 80412 80317 79804 79933Urban 30266 30842 26243 26511 27024 27487 28087 26865 27588 29065 29398 29383 29675 29886 30298 31391 32292 33139 33691Rural 70089 66751 54150 53489 52808 53463 53121 50545 51912 52835 52112 52056 51862 51104 50269 49021 48025 46665 46242

NOTES

Explanations for the terms Structurally Deficient and Functionally Obsolete can be found on pages 14 and 15 in Chapter 3 of the Federal Highway Administration 2006 Conditions and Performance Report available at httpwwwfhwadotgovpolicy2006cprpdfschap3pdfUS totals include the 50 states the District of Columbia and Puerto RicoTable includes RuralndashInterstate principal arterial minor arterial major collector minor collector and local roads UrbanndashInterstate other freeways or expressways other principal arterial minor arterial collector and local roads Data for 1990 1992 1997-99 2000 and 2007 are as of December of those years data for 1991 and 1994-96 are as of June of those years data for 1993 are as of September of that year data for 2000 are as of August of that year and data for 2002-06 are as of July of those years

SOURCES1990-2000 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics based on data from Federal Highway Administration Office of Bridge Technology National Bridge Inventory (NBI) personal communication Aug 14 2001 and Apr 24 2008

2001-08 US Department of Transportation Federal Highway Administration Office of Bridge Technology National Bridge Inventory (NBI) Count of Bridges by Highway System available at httpwwwfhwadotgovbridgebritabhtm as of Mar 18 2009

Table 1-28a Average Age of Urban Transit Vehicles (Years)1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Transit railCommuter rail locomotivesa 163 157 153 158 156 153 159 176 170 147 132 134 142 160 166 160 165 169 184Commuter rail passenger coaches 191 176 173 193 186 201 214 241 216 194 175 169 181 201 205 179 186 186 189Commuter rail self-propelled passenger cars 123 159 165 176 182 160 198 211 223 232 243 254 262 271 254 236 194 159 169Heavy-rail passenger cars 171 162 169 177 178 158 193 202 211 220 225 229 217 200 190 198 208 216 216Light rail vehicles (streetcars) 206 152 166 170 149 167 168 160 159 157 157 161 164 163 156 155 145 153 161Transit busb

Articulated 34 76 82 91 95 101 107 113 117 112 85 66 59 58 58 46 49 54 62Full-size 81 82 80 83 85 87 86 87 85 85 84 81 78 75 73 72 76 74 62Mid-size 56 66 67 68 64 69 68 63 58 58 56 56 56 56 57 57 58 62 65Small 48 39 40 41 40 41 40 40 39 40 40 41 40 40 40 41 41 43 43Trolley U 109 103 112 120 111 131 140 147 146 156 164 204 154 116 85 94 90 85OtherVans 38 28 30 31 31 39 31 31 30 29 31 31 33 49 34 34 34 31 31Ferry boats U 217 196 227 247 235 234 253 254 258 251 256 247 268 271 256 256 217 203KEY U = data are not available

a Locomotives used in Amtrak intercity passenger services are not includedb Full-size buses have more than 35 seats mid-size buses have 25-35 seats small buses have fewer than 25 seats

SOURCESAll data except full-size mid-size small and articulated transit busUS Department of Transportation Federal Transit Administration National Transit Database 2007 (Washington DC 2008) table 25 and similar tables in earlier editions available at httpwwwntdprogramgovntdprogram as of Mar 18 2009Full-size mid-size small and articulated transit bus1985-91 US Department of Transportation Federal Transit Administration National Transit Database 1991 (Washington DC 1993) table 29 and similar tables in earlier editions

1992-2007 Ibid National Transit Summaries and Trends 2007 (Washington DC 2008) p 53 and similar tables in earlier editions available at httpwwwntdprogramgovntdprogram as of Mar 18 2009

TABLE 1-28b Condition of Urban Bus and Rail Transit Maintenance Facilities1995 1997 2000 2002 2004 2006

Bus number of facilitiesa 484 503 497 1219 1207 1200Excellent 102 13 46 83 208 213Good 257 86 41 68 62 69Adequate 34 285 266 672 551 571Substandard 29 93 121 387 379 334Poor 63 26 23 10 6 13

Rail number of facilities 123 125 150 152 152 200Excellent 8 7 0 27 40 47Good 56 53 32 18 26 25Adequate 15 17 64 76 74 110Substandard 15 17 36 27 10 16Poor 5 6 18 3 2 2

a These data are derived from the Transit Economic Requirements Model (TERM) TERM uses uses statistically determined decay curves to simulate the deterioration of the Nations transit vehicles facilities and other infrastructure components National Transit Database (NTD) data are applied to these decay curves to estimate conditions Only the condition of directly operated facilities are provided for 1995 1997 and 2000 The NTD began gathering information on facilities owned by bus systems providing services under contract in 1999 (known as purchased transportation) however TERM did not base condition estimates on this full set of facilities until 2002

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Transportation Federal Transit Administration Transit Economic Requirements Model as of Feb 12 2008

TABLE 1-28c Condition of Rail Transit Infrastructure (Percent) 1995 1997 2000 2002 2004 2006

StationsExcellent 14 11 1 3 7 4Good 47 46 33 22 28 29Adequate 12 15 50 18 14 19Substandard 12 13 16 26 51 48Poor 15 15 0 30 0 0Communication SystemsExcellent N 0 0 7 12 11Good N 61 62 69 63 43Adequate N 16 12 10 25 46Substandard N 12 14 6 0 0Poor N 10 12 8 0 0Train Control SystemsExcellent N 9 7 6 0 1Good N 52 56 66 45 34Adequate N 16 17 11 29 40Substandard N 11 10 10 14 12Poor N 13 10 8 12 14Traction Power SystemsExcellent N 25 21 37 8 9Good N 44 55 45 47 46Adequate N 10 11 11 45 44Substandard N 14 7 3 1 1Poor N 7 7 4 0 1Revenue Collection SystemsExcellent N 27 30 34 26 26Good N 33 31 56 54 53Adequate N 18 18 2 10 10Substandard N 10 18 7 8 7Poor N 12 4 1 3 4Elevated structuresExcellent 1 0 2 5 3 3Good 56 59 59 83 77 79Adequate 16 12 16 3 4 1Substandard 20 29 22 7 14 17Poor 7 1 2 2 2 1Underground tunnelsExcellent 9 7 12 40 26 22Good 59 47 46 34 48 54Adequate 13 18 19 12 12 4Substandard 11 19 11 9 6 14Poor 7 9 12 6 7 5KEY N = data do not exist

NOTEPercents may not add to 100 due to rounding

SOURCEUS Department of Transportation Federal Transit Administration Transit Economic Requirements Model as of Feb 12 2008

Table 1-29 Class I Railroad Locomotive Fleet by Year Built (Locomotive units)Year builta 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Before 1970 5117 4353 4038 3766 3535 b b b b b f f f f f j j1970-74 3852 3617 3384 3248 3184 c 6048 c 5783 c 5529 c 5565 c 5196 f f f f f j j1975-79 4432 4375 4292 4352 4275 4254 4274 4219 4116 4000 g 8541 g 7862 g 7133 g 6889 g 7056 j j1980-84 2837 2826 2784 2730 2625 2754 2735 2728 2723 2581 2411 2153 1790 1655 1585 k 8705 k82371985-89 1989 1985 1970 1968 1971 1890 1866 1829 1830 1779 1775 1672 1807 1791 1799 1786 17351990 608 605 604 604 599 d 2965 d 2959 d 2958 d 2736 d 2688 d 2648 d 2667 d 2702 d 2700 d 2715 d 2783 d27401991 583 595 595 594 e e e e e e e e e e e e1992 337 340 339 e e e e e e e e e e e e1993 558 602 e e e e e e e e e e e e1994 781 e e e e e e e e e e e e1995 901 945 983 953 951 973 h 4020 h 4582 h 4673 h 4672 h 4348 h45351996 707 696 708 706 697 i i i i i i1997 742 741 743 745 i i i i i i1998 889 890 890 i i i i i i1999 722 713 i i i i i i2000 635 691 987 863 863 l 4350 l46732001 680 810 891 891 m m2002 695 725 722 m m2003 587 591 m m2004 1121 m m2005 807 8812006 931a Disregards year of rebuildingb Included in 1970-74 categoryc Includes all locomotives built before 1975d Includes locomotives built between 1990-94e Included in 1990 categoryf Included in 1975-79 categoryg Includes all locomotives built before 1980h Includes locomotives built between 1995-99i Included in 1995 categoryj Included in 1980-84 categoryk Includes all locomotives built before 1985l Includes locomotives built between 2000-04m Included in 2000 category

SOURCEAssociation of American Railroads Railroad Facts 2007 (Washington DC 2007) p 50 and similar pages in earlier editions

1972 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007LocomotivesPercent available for servicea N 87 83 93 84 86 83 84 85 88 88 88 88 90 89 U U U U U U UAverage age (years)b 223 144 74 7 12 13 13 132 134 139 144 120 126 128 112 139 137 148 157 164 175 185Passenger and other train carsPercent available for servicea N 82 77 90 90 92 90 89 88 90 90 91 93 91 91 U U U U U U UAverage age (years)b 220 247 143 142 200 210 215 226 224 218 207 198 211 222 194 185 204 214 224 233 225 222

Table 1-30 Age and Availability of Amtrak Locomotive and Car Fleets

2001-07 Amtrak Personal Communication as of August 2008

Roadrailers are not considered train cars for the purpose of our calculations

SOURCES1972-80 Amtrak Amtrak Annual Report (Washington DC Annual issues)1985-2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

NOTES1972 was Amtraks first full fiscal year of operation

KEY N = data do not exist U = data are not available

a Year-end daily average Active units less backshop units undergoing heavy maintenance less back-ordered units undergoing progressive maintenance and running repairsb Fiscal Year-end average Fiscal Year ends Sept 30th of stated year

Agea Dry cargo Tanker Towboat Passengerc

Offshore support

crewboatsd Dry barge

Tank liquid bargee Totalb

1990ndash91 totalb 900 257 5210 721 1168 27110 3874 39342lt6 80 6 132 151 85 2335 162 29516ndash10 161 38 706 120 318 4570 316 622911ndash15 212 50 1029 110 474 7639 829 1034316ndash20 141 35 844 80 144 6374 750 836821ndash25 82 38 750 65 84 2607 759 4385gt25 196 86 1718 188 51 3372 1049 66601992 totalb 497 249 5203 1201 1205 26981 3864 39313lt6 36 5 134 219 93 3224 296 40126ndash10 73 28 398 198 208 1783 121 282911ndash15 135 54 1137 203 567 9114 902 1215016ndash20 73 33 926 169 189 6696 740 885321ndash25 31 42 716 122 91 2475 677 4167gt25 124 82 1874 287 53 3496 1123 70491993 totalb 470 205 5219 1243 1197 26982 3970 39306lt6 25 3 135 207 103 3558 325 43566ndash10 67 22 205 221 107 1070 68 176411ndash15 135 43 1221 211 597 8810 869 1189416ndash20 70 33 968 164 218 6772 791 901921ndash25 41 31 674 129 106 2904 655 4543gt25 128 73 2008 311 64 3713 1256 75551994 totalb 778 202 5179 928 1236 26757 3966 39064lt6 46 4 146 157 107 3630 399 44896ndash10 103 12 151 185 61 1171 36 171911ndash15 200 36 1135 123 540 7903 754 1069116ndash20 130 44 966 122 309 6314 799 868421ndash25 90 32 664 82 130 3873 638 5509gt25 206 74 2107 259 86 3706 1327 77651995 totalb 726 178 5127 954 1288 27375 3985 39641lt6 38 5 168 149 119 3975 489 49436ndash10 90 8 134 195 58 1483 46 201411ndash15 168 34 959 133 463 6387 611 876016ndash20 135 38 988 121 412 6507 736 893921ndash25 80 29 726 91 141 4897 697 6661gt25 213 64 2146 263 92 3966 1403 81481996 totalb 713 161 5177 967 1274 28775 4036 41104lt6 43 7 205 153 123 5189 573 62936ndash10 74 8 118 188 61 2041 87 257711ndash15 141 29 715 142 351 4505 346 622916ndash20 155 36 1036 119 460 7234 840 988121ndash25 79 23 842 87 155 5416 723 7325gt25 229 62 2386 290 144 4766 1576 94531997 totalb 692 147 5173 1025 1369 29040 3971 41419lt6 52 8 227 150 122 5515 519 65936ndash10 66 2 118 187 94 2582 181 323011ndash15 96 27 396 152 223 1800 137 283116ndash20 183 36 1173 131 588 8943 928 1198221ndash25 84 21 918 102 177 5772 727 7801gt25 209 53 2332 302 159 4284 1477 88161998 totalb 714 135 5237 1011 1423 29557 3952 42032lt6 56 12 247 150 163 5877 485 69916ndash10 55 3 124 168 105 3117 267 383911ndash15 105 19 196 166 111 1113 72 178216ndash20 179 31 1198 129 634 8591 865 1162621ndash25 88 22 979 106 211 5909 763 8076gt25 230 48 2487 292 195 4817 1499 95731999 totalb 695 142 5098 970 1470 29414 3973 41766lt6 60 12 302 144 245 6640 565 79686ndash10 49 3 140 146 114 3192 298 394311ndash15 97 12 146 183 61 1231 39 176916ndash20 146 35 1101 120 571 7414 742 1012921ndash25 99 30 953 95 283 5302 760 7522gt25 243 50 2447 282 191 5491 1560 102672000 totalb 737 135 4995 918 1414 29141 4011 41354lt6 66 11 325 134 246 6721 582 8085

TABLE 1ndash31 US Flag Vessels by Type and Age (Number of vessels)Vessel type

Agea Dry cargo Tanker Towboat Passengerc

Offshore support

crewboatsd Dry barge

Tank liquid bargee Totalb

Vessel type

6ndash10 50 4 143 118 106 3051 329 380211ndash15 113 8 142 178 58 1565 48 211216ndash20 136 34 929 124 454 5846 602 812521ndash25 105 30 954 90 332 5365 712 7588gt25 263 48 2497 271 214 6461 1714 114702001 totalb 966 120 5150 733 1573 28920 4122 41588lt6 114 12 369 84 305 6830 623 83376ndash10 76 3 167 81 111 2815 388 364111ndash15 132 5 125 138 68 2043 85 259616ndash20 139 32 692 110 372 4241 329 591621ndash25 154 28 972 77 452 6126 805 8614gt25 347 40 2818 240 262 6712 1884 123062002 totalb 989 108 5180 750 1591 28313 4068 41002lt6 113 13 369 70 322 6117 595 75996ndash10 86 3 185 92 96 3416 419 429811ndash15 130 2 142 136 89 2499 172 317016ndash20 114 22 381 117 228 1669 134 266521ndash25 175 35 1091 75 547 7702 843 10468gt25 368 33 3004 256 305 6731 1904 126032003 totalb 969 104 5172 789 1609 27304 4031 39983lt6 114 9 362 69 314 4909 604 63816ndash10 93 7 217 89 126 4155 396 508511ndash15 110 3 148 122 93 2976 260 371216ndash20 127 15 198 133 111 1054 71 170921ndash25 168 32 1135 84 584 7135 774 9912gt25 354 38 3105 287 378 6884 1923 129722004 totalb 987 103 5314 834 1746 27227 4069 40290lt6 126 11 367 72 279 4556 676 60876ndash10 112 10 272 97 198 4840 453 598311ndash15 95 3 166 119 109 3057 296 384616ndash20 132 8 157 144 64 1169 35 170921ndash25 130 31 1083 92 580 6240 639 8795gt25 390 40 3262 308 512 7152 1970 136422005 totalb 969 100 5290 841 1768 27901 4151 41028lt6 115 11 336 62 244 4140 743 56516ndash10 106 13 321 96 262 5611 512 692111ndash15 74 4 157 114 107 3120 333 391116ndash20 137 3 155 150 59 1507 43 205421ndash25 116 30 907 98 464 5174 535 7324gt25 419 39 3406 321 629 8113 1985 149182006 totalb 946 90 5285 828 1721 27961 4250 41109lt6 123 14 362 53 237 3955 833 55776ndash10 103 10 336 88 277 6006 496 731611ndash15 75 2 172 101 103 2913 386 375216ndash20 127 3 132 148 55 1949 84 249821ndash25 96 21 690 110 359 3629 293 5198gt25 421 40 3581 328 685 9204 2155 16414

NOTE

SOURCE

b Totals may be greater than sum of columns because of unclassified vessels and vessels of unknown age figures include vessels available for operation

US Army Corps of Engineers Waterborne Transportation Lines of the United States Volume 1 National Summaries (New Orleans LA Annual issues) table 4 available at httpwwwiwrusacearmymil as of September 2008

e In 1992 tank barges were designated as liquid barges

a Age is based on the year the vessel was built or rebuilt

c Includes passenger excursionsightseeing combination passenger and dry-cargo vessels and ferriesd In 1992 offshore supply boats were designated as crewboats

Figures include vessels available for operation

Section DTravel and Goods

Movement

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air

Air carrier large certificated domestic all services 858 1134 2068 1948 2523 3046 3963 3854 3995 4157 4380 4629 4811 4911 5035 5332 5664 5548 5616 6085 6552 6714 6619General aviationa 1769 2562 3207 4238 5204 4673 4548 4400 3465 3253 3358 3795 3524 3877 N N N N N N N N N

Highwayb total 718762 887812 1109724 1327664 1527295 1774826 2144362 2172050 2247151 2296378 2357588 2422696 2485848 2561695 2631522 2691056 2746925 2797287 2855508 2890450 2964788 (R) 2989430 3014116Passenger carbc 587012 722696 916700 1033950 1111596 1246798 1408266 1358185 1371569 1374709 1406089 1438294 1469854 1502556 1549577 1569100 1600287 1628332 1658474 1672079 1699890 (R) 1708421 1682671Motorcyclec h h 2979 5629 10214 9086 9557 9178 9557 9906 10240 9797 9920 10081 10283 10584 10469 9639 9552 9577 10122 (R) 10454 12401Other 2-axle 4-tire vehicleb h h 123286 200700 290935 390961 574571 649394 706863 745750 764634 790029 816540 850739 868275 901022 923059 943207 966034 984094 1027164 (R) 1041051 1089013Truck single-unit 2-axle 6-tire or more 98551 128769 27081 34606 39813 45441 51901 52898 53874 56772 61284 62705 64072 66893 68021 70304 70500 72448 75866 77757 78441 (R) 78496 80331Truck combination 28854 31665 35134 46724 68678 78063 94341 96645 99510 103116 108932 115451 118899 124584 128359 132384 135020 136584 138737 140160 142370 (R) 144028 142706Bus 4346 4681 4544 6055 6059 4478 5726 5750 5778 6125 6409 6420 6563 6842 7007 7662 7590 7077 6845 6783 6801 (R) 6980 6994

Transitd total 2143 2008 1883 2176 2287 2791 3242 3306 3355 3435 3467 3551 3651 (R) 3747 (R) 3794 (R) 3973 (R) 4082 4196 (R) 4281 (R) 4367 (R) 4462 (R) 4611 4684Motor buse 1576 1528 1409 1526 1677 1863 2130 2167 2178 2210 2162 2184 2221 2245 2175 2276 2315 2377 2411 2421 2471 2495 2495Light rail 75 42 34 24 18 17 24 28 29 28 34 35 38 41 44 49 53 54 61 64 67 69 74Heavy rail 391 395 407 423 385 451 537 527 525 522 532 537 543 558 566 578 595 608 621 630 630 646 652Trolley bus 101 43 33 15 13 16 14 14 14 13 14 14 14 14 14 14 15 13 14 14 13 13 12Commuter rail N N N 173 179 183 213 215 219 224 231 238 242 251 260 266 271 277 284 286 295 303 315Demand responsivee N N N N N 247 306 335 364 406 464 507 548 585 671 718 759 789 803 864 890 978 1013Ferry boat N N N N i i 2 2 2 3 2 3 2 3 3 3 3 3 3 4 4 4 4Other N N N 15 15 15 16 19 24 30 29 34 43 50 63 69 71 75 84 85 92 (R) 103 119

RailClass I freight train-miles 404 421 427 403 428 347 380 375 390 405 441 458 469 475 475 490 504 500 500 516 535 548 563Class I freight car-miles 28170 29336 29890 27656 29277 24920 26159 25628 26128 26883 28485 30383 31715 31660 32657 33851 34590 34243 34680 35555 37071 37712 38955IntercityAmtrak f train-miles 209 172 93 30 30 30 33 34 34 35 34 32 30 32 33 34 35 36 38 37 37 36 36IntercityAmtrak f car-miles 2208 1775 690 253 235 251 301 313 307 303 304 292 276 288 312 342 368 378 379 332 308 265 264Total train-milesg 613 593 520 433 458 377 413 409 424 440 475 490 499 507 508 524 539 536 537 553 572 584 599

IntercityAmtrak car-miles

Table 1-32 US Vehicle-Miles (Millions)

IntercityAmtrak train-miles1960-70 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 391975-2001 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77

1960-2006 American Public Transit Association Public Transportation Fact Book (Washington DC Annual issues) table 10 54 and similar tables in earlier editionsRailClass I rail freight train- and car-miles

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtm

1960-2006 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 33 (train-miles) and p 34 (car-miles)

Single-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmTransit

1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmOther 2-axle 4-tire vehicle1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table V201A

Passenger car and motorcycle1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table V201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtm

Motorcycle

1980 US National Transportation Safety Board estimate personal communication Dec 7 19981985-92 Ibid General Aviation Activity and Avionics Survey (Washington DC Annual issues) table 331993-97 Ibid General Aviation and Air Taxi Activity and Avionics Survey (Washington DC Annual issues) table 33 Highway

i Ferry boat included with other

SOURCES

General aviation1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1972 (Washington DC 1973) table 910

KEY N = data do not exist U = data are not available

a All operations other than those operating under 14 CFR 121 and 14 CFR 135 Data for 1996 are estimated using new information on nonrespondents and are not comparable to earlier years Mileage in source is multiplied by 1151 to convert to nautical-miles for 1985-1997b In July 1997 the FHWA published revised vehicle-miles data for the highway modes for many years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category This category was calculated prior to roundingc US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary d Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-milese Motor bus and demand responsive figures are also included in the bus figure for highwayf Amtrak began operations in 1971g Although both train-miles and car-miles are shown for rail only train-miles are included in the total A train-mile is the movement of a train which can consist of multiple vehicles (cars) the distance of 1 mile This differs from a vehicle-mile which is the movement of 1 vehicle the distance of 1 mile A 10-vehicle train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles with vehicle milesh 1960ndash65 motorcycle data are included in passenger car and other 2-axle 4-tire vehicle data included in single-unit 2-axle 6-tire or more truck

NOTENumbers may not add to totals due to rounding

AirAir carrier1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) p 3 line 25 plus line 46

1970-75 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1976 (Washington DC 1976) table 8-5

1960-75 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 401980-2000 Amtrak Amtrak Corporate Reporting Route Profitability System personal communication 20012001-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Urban VMT total (millions) 855265 1044098 1275484 1288497 1363054 1409672 1449247 1489534 1523886 1552956 1595620 1627618 1663773 1676379 1727596 1805508 1892265 1951870 1977047

Interstate 161242 216188 278901 285325 303265 317399 330577 341528 351579 361433 374622 383259 393465 399890 408618 432633 454385 469070 477283Other arterialsa 484189 578270 699233 707518 745618 773978 797899 815170 834623 846627 862996 878153 900392 913726 937357 973936 1020089 1048219 1060098Collector 83043 89578 106297 107281 116065 117887 120088 126929 129310 130146 131905 131603 135372 137922 141874 153751 162108 168038 173210Local 126791 160062 191053 188373 198106 200408 200683 205907 208374 214750 226097 234603 234544 224841 239747 245188 255683 266543 266456

Rural VMT total (millions) 672030 730728 868878 883553 884097 886706 908341 933289 960194 999277 1032528 1062623 1083152 1105083 1128160 1085385 1070248 1037937 1037069Interstate 135084 154357 200173 205011 205557 208308 215568 223382 232565 240255 251520 260166 268180 274024 279962 269945 266996 258790 257913Other arterialsa 262774 282803 330866 334755 344062 349567 357329 368595 378847 392057 403484 413320 420599 426945 433805 416596 409944 398932 394499Collectorb 189468 206669 240460 245630 234910 226296 230529 236148 241030 254100 257868 264453 267231 270962 275007 263662 260931 251587 251375Local 84704 86899 97379 98157 99568 102535 104915 105164 107752 112865 119656 124684 127142 133152 139386 135182 132377 128628 133282

Urban VMT per lane-mile total (thousands) 613 677 764 766 775 782 794 810 820 825 844 858 869 852 861 856 860 862 856

Interstate 3327 3773 4483 4542 4508 4588 4667 4784 4897 5002 5131 5229 5323 5370 5440 5436 5479 5455 5427Other arterialsa 1451 1556 1751 1758 1783 1778 1803 1829 1857 1866 1901 1950 1974 1997 2025 2012 2019 2001 1989Collector 572 552 634 649 659 656 655 686 692 689 703 706 718 728 743 741 745 745 768Local 146 168 184 179 181 179 178 181 181 184 192 198 196 181 188 183 184 187 183

Rural VMT per lane-mile total (thousands) 103 113 136 138 139 140 144 148 152 157 165 169 172 176 179 175 174 170 170

Interstate 1031 1170 1473 1502 1540 1576 1642 1693 1749 1804 1888 1939 1993 2035 2080 2070 2088 2061 2074Other arterialsa 518 555 640 646 653 665 674 695 711 730 750 766 778 787 797 780 771 753 744Collectorb 132 141 164 167 163 158 161 167 170 179 182 187 189 192 195 190 189 183 184Local 19 20 23 23 23 24 25 25 25 26 29 30 30 32 33 33 32 32 33

NOTE

SOURCES

Lane-miles1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management unpublished data 1997 table HM-260

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics 2007 table HM-60 available at wwwfhwadotgovpolicyohpi as of Mar 18 2009

See table 1-6 for estimated highway lane-miles by functional class

1995-2007 US Department of Transportation Federal Highway Administration Highway St atistics 2007 table VM-2 available at wwwfhwadotgovpolicyohpi as of Mar 18 2009

1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-202 available at wwwfhwadotgovpolicyohpi as of Mar 18 2009

b Collector is the sum of major and minor collectors (rural only)

a For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterials

TABLE 1-33 Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 2005 2006 (P) 2007AIRCRAFT DEPARTURESTotal performed a 4555516 5156848 5505659 6641681 6545000 6606609 7193841 7513232 8030530 8204674 8095888 8248269 8605486 8929559 8548932 8052756 8585736 9444234 9859941 9512017 9628397Total scheduled 4530535 5204564 5591596 6758571 7024412 6703670 7058097 7359093 7920467 8064653 7907554 8094020 8432940 8688776 8340180 7981190 8479414 9193220 9722715 9429017 9740221Large hubsPerformed 2437958 2887239 3439446 4167868 4114950 4078211 4480575 4756589 5162534 5257541 5266560 5416158 5645179 5851801 5177758 4918940 5336246 5591234 5842793 5660186 5688872Scheduled 2409874 2905923 3487660 4237466 4312032 4144325 4443937 4713178 5147875 5243646 5219161 5405728 5570419 5720435 5092030 4867648 5326856 5486529 5806009 5654357 5818488Medium hubsPerformed 902652 1048726 1185008 1394833 1256306 1301977 1310322 1471377 1439639 1425280 1430537 1429730 1499243 1574986 1893805 1791778 1703127 2046105 2184522 2076849 2138079Scheduled 899543 1058438 1201540 1417762 1352515 1312257 1268316 1398144 1387833 1356162 1352944 1345197 1404482 1507991 1812161 1784913 1671068 2007421 2153826 2062423 2148553Small hubsPerformed 640589 598559 514176 669450 689518 771529 841685 710569 738231 754914 695841 714920 746625 779518 864722 788758 884306 1088691 1091838 1095346 1112365Scheduled 644133 608738 524048 679103 858429 783305 794279 685421 711947 722170 660685 674812 770092 759208 856112 809246 855679 1025145 1064124 1078363 1125286NonhubsPerformed 574317 622324 367029 409530 484226 454892 561259 574697 690126 766939 702950 687461 714439 723254 612647 553280 662057 718204 740788 679636 689081Scheduled 576985 631465 378348 424240 501436 463783 551565 562350 672812 742675 674764 668283 687947 701142 579877 519383 625811 674125 698756 633874 647894ENPLANED REVENUE PASSENGERS b 196782144 281408852 363341497 438544001 428319248 447625988 468313029 508458194 526055483 558183741 568615687 588335318 610628716 639753899 595364778 575058533 593132200 652413250 690135672 690765508 712627335Large hubs 133975900 197679376 264507144 317595099 313375097 319582090 340048661 372731005 392601890 417339694 426246423 442402443 458665099 479570342 413634333 401696877 424621015 447500697 473367070 475207801 488298537Medium hubs 36539613 51664627 65770376 80466373 72985169 80800955 79032913 88601244 85929285 89018764 90779705 91755793 96394866 102082360 124587728 119733580 109492740 135364314 143749228 142139330 147067665Small hubs 19406607 23393324 24240726 30771383 31224974 36879632 37334956 34443996 33561098 37122974 36298979 37675305 38644557 40121294 42833911 40053861 43545830 51812381 53291924 55008304 57500743Nonhubs 6860024 8671525 8823251 9711146 10734008 10363311 11896499 12681949 13963210 14702309 15290580 16501777 16924194 17979903 14308806 13574215 15472615 17735858 19727450 18410073 19760390ENPLANED REVENUE TONS c 3661061 5088313 4024470 6298824 6417504 6736309 8203090 8718082 9365017 10333298 13520228 14083769 14911847 15105527 17514685 13525489 13911441 14616794 14445548 14262852 14099708Freight total 2764763 3562187 2601027 4732726 4854513 5053678 6383887 6802375 7204479 8047795 11163448 11784514 12067717 12770655 15805842 12674172 13069642 13870934 13795084 13673646 13586049Large hubs 2265665 3008311 2047988 3001217 2960604 3067778 3678851 4025517 4402327 4653189 5691363 6208629 5993061 6728534 6338289 4999651 5524253 5424975 5184194 5019609 4969475Medium hubs 358044 414325 469057 1446744 1507017 1633136 1857865 2022282 1950318 2169411 3855449 3897242 4382712 4445684 6871585 5750187 5264084 5042642 6239905 5239725 5235404Small hubs 99133 73795 48127 191358 222247 267619 516199 432680 541062 755232 963093 1019615 1053050 936896 1405627 1056987 1015860 2052242 981639 2010442 2037655Nonhubs 41922 65756 35855 93407 164645 85145 330973 321896 310772 469962 653542 659028 638894 659541 1190341 867347 1265445 1351075 1389346 1403870 1343515Mail total 896298 1526125 1423443 1566098 1562991 1682632 1819203 1915706 2160538 2285503 2356781 2299255 2844130 2334872 1708843 851317 841799 745860 650464 589206 513659Large hubs 677179 1091059 1082567 1146589 1095019 1201545 1320176 1406910 1546568 1630445 1699154 1662643 2183127 1674892 1127090 642709 663406 572837 492408 429955 369073Medium hubs 151498 255929 268179 292899 321041 321051 324441 344200 442814 466583 473577 482710 502096 508356 407330 162549 141315 143888 136635 124151 93925Small hubs 48486 148116 59917 108656 126070 144918 152692 136111 136008 157137 138818 127748 126793 109283 103227 34293 27464 25202 16901 18512 25732Nonhubs 19134 31021 12781 17954 20861 15117 21894 28485 35149 31338 45232 26154 32114 42341 71196 11766 9614 3933 4520 16588 24929

a Total performed includes scheduled departures performed minus those scheduled departures that did not occur plus unscheduled service

Table 1-34 US Air Carrier Aircraft Departures Enplaned Revenue Passengers and Enplaned Revenue Tons

KEY P = preliminary R = revised

2000-07 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Airport Activity Statistics Database (Form 41 Schedule T-3) special tabulation

SOURCE

Large certificated air carriers operate aircraft with seating capacity of more than 60 seats or a maximum payload capacity of more than 18000 pounds and hold Certificates of Public Convenience and Necessity issued by the US Department of Transportation authorizing the performance of air transportation Data for commuter intrastate air taxi small-certificated and foreign-flag air carriers are not included

Prior to 2000 air traffic hubs are designated as geographical areas based on the percentage of total passengers enplaned in the area Under this designation a hub may have more than one airport in it (This definition of hub should not be confused with the definition used by the airlines in describing their hub-and-spoke route structures) Individual communities fall into four hub classifications as determined by each communitys percentage of total enplaned revenue passengers in all services and all operations of US certificated route carriers within the 50 states the District of Columbia and other US areas For 2000 and later hub designation is based on passenger boardings at individual airports as designated by the FAA Classifications are based on the percentage of total enplaned revenue passengers for each year according to the following one percent or more = large 025 to 09999 percent = medium 005 to 0249 percent = small less than 005 = nonhubThe 2007 data uses 2006 hub size classifications as the 2007 FAA hub classifications were not available at the time of publication

1975-99 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Airport Activity Statistics of Certified Route Air Carriers (Washington DC Annual issues) tables 2 3 4 and 5

b The number of persons receiving air transportation from an air carrier for which remuneration is received by the carrier excluding persons receiving reduced rate charges such as air carrier employees infants and others (except ministers of religion elderly individuals and handicapped individuals)c The number of short tons tranported on a flight by an air carrier

Data are for all scheduled and nonscheduled service by large certificated US air carriers at all airports served within the 50 states the District of Columbia and other US areas designated by the Federal Aviation Administration Not all scheduled service is actually performed Moreover for several years total performed departures exceed total scheduled departures because nonscheduled departures are included in the totals Prior to 1993 all scheduled and some nonscheduled enplanements for certificated air carriers were included no enplanements were included for air carriers offering charter service only Prior to 1990 freight includes both freight and express shipments and mail includes priority and nonpriority US mail and foreign mail beginning in 1990 only aggregate numbers are reported

NOTES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005FreightAir carrier 953 943 1014 1082 1052 1157 1389 1346 1391 1347 1221 1160 1181 1077 1078 1001 982 973 U U U UTrucka 272 259 263 286 363 366 391 398 410 407 392 416 426 435 442 458 473 485 U U U UClass I rail 461 503 515 541 616 665 726 751 763 794 817 843 842 851 835 835 843 859 853 862 902 UCoastwise (water) 1496 1501 1509 1362 1915 1972 1604 1705 1762 1650 1652 1652 1526 1330 1261 1279 1251 1228 1219 1248 1269 ULakewise (water) 522 494 506 530 536 524 553 535 519 514 508 514 508 507 505 501 506 509 529 530 538 UInternal (water) 282 297 330 358 405 435 468 483 479 468 482 494 477 466 472 488 481 476 483 457 454 UIntraport (water) U U U 16 17 15 13 13 12 12 16 16 17 15 15 15 16 15 15 15 16 UCrude (oil pipeline) 325 320 300 633 871 777 812 822 830 790 778 797 779 781 767 766 U U U U U UPetroleum products (oil pipeline) 269 335 357 516 414 391 387 379 379 406 414 402 413 413 420 418 U U U U U UPassengerAir carrier domestic scheduled 583 614 678 698 736 758 803 806 806 799 787 791 802 817 812 824 833 842 850 (R) 858 857 874Bus intercity 79 94 106 113 125 121 141 143 136 138 138 140 143 144 144 143 143 U U U U UCommuter rail 21 21 22 23 23 24 22 23 23 22 21 24 24 23 23 23 23 23 23 23 23 UAmtrakb

N N N 236 216 231 273 285 286 280 279 268 256 256 251 248 244 237 234 231 219 U

1970-85 Amtrak corporate communication Jan 26 19991990-2002 Amtrak Amtrak Annual Report (Washington DC 2003) Statistical Appendix2003-04 Association of American Railroads Railroad Facts 2005 (Washington DC 2004) p 77 and similar pages in earlier editions

US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues)

Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 64

1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 642001-04 US Department of Transportation Federal Transit Administration National Transit Database (Washington DC Annual issues) table 19 and similar tables in earlier editions

Commuter Rail

NOTES

SOURCESFreight

Class I rail

Amtrak

Intercity bus

Water

Oil pipeline

Passenger

US Army Corps of Engineers Waterborne Commerce of the United States Part 5 (New Orleans LA Annual issues) section 1 table 1-4

1960-70 Transportation Policy Associates Washington DC personal communication

Table 1-35 Average Length of Haul Domestic Freight and Passenger Modes (Miles)

1975-99 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 65

Air carrier truck

Air carrier

Eno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) p 65

Association of American Railroads Railroad Facts 2005 (Washington DC 2005) p 36

KEY N = data do not exist R = revised U = data are not available

a Total Class I and Class II motor carriers of freight (less-than-truckload specialized carrier for truckload and others)b Amtrak began operations in 1971 Data are reported for fiscal years

Average length of haul for freight is calculated by dividing ton-miles in table 1-46 by estimates of tonnage from the various data sources The calculation of average length of haul for passenger trips varies by mode for air carrier it is calculated by dividing revenue passenger-miles by revenue passenger enplanements for commuter rail intercity bus and Amtrak it is calculated by dividing passenger-miles by number of passengers

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008TOTAL

1990-2008TOTAL space launches 15 12 14 11 15 23 24 38 41 39 35 16 24 17 15 18 21 23 28 429United States total 9 6 6 5 5 12 11 17 22 15 7 3 5 5 6 1 2 3 6 146

Athena 0 0 0 0 0 1 0 1 1 3 0 0 0 0 0 0 0 0 0 6Atlas 1 2 3 3 4 8 7 6 5 4 3 1 3 4 5 1 1 0 1 62Conestoga 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1Delta 5 4 3 1 1 1 3 7 11 5 2 1 2 0 0 0 1 3 2 52Falcon 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2Pegasus 0 0 0 1 0 1 1 3 4 2 2 0 0 1 0 0 0 0 1 16Taurus 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 4Titan 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3

Europe total 5 6 6 6 8 8 9 11 9 8 12 8 10 4 1 5 5 6 5 132Ariane 4 5 6 6 6 8 8 9 11 9 8 8 6 7 1 0 0 0 0 0 98Ariane 5 0 0 0 0 0 0 0 0 0 0 4 2 3 3 1 5 5 6 5 34

Russia total 0 0 0 0 0 0 2 7 5 13 13 3 8 5 5 8 9 12 11 101Cosmos 0 0 0 0 0 0 0 0 0 1 2 0 0 1 0 1 0 0 3 8Dnepr 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 1 3 2 10Kosmos 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 3Proton 0 0 0 0 0 0 2 6 4 5 6 2 5 1 4 4 4 4 6 53Rockot 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 1 1 0 0 5Shtil 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1Soyuz 0 0 0 0 0 0 0 0 0 6 3 0 0 2 0 1 0 0 0 12Soyuz 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 4Start 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 0 4Volna 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1

Ukraine total 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1Zenit 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1

China total 1 0 2 0 2 3 2 3 4 1 0 0 0 0 0 0 0 0 0 18Long March 2C 0 0 0 0 0 0 0 1 4 1 0 0 0 0 0 0 0 0 0 6Long March 2E 0 0 2 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 6Long March 3 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3Long March 3B 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 3

IndiaTotal 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1PSLV 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1

Sea Launcha total 0 0 0 0 0 0 0 0 0 2 3 2 1 3 3 4 5 1 6 30Zenit 3SL 0 0 0 0 0 0 0 0 0 2 3 2 1 3 3 4 5 1 6 30

NOTES

SOURCES

2000-08 U6 Department of Transportation Federal Aviation Administration Commercial Space Transportation 2008 Year in Review (Washington DC January 2009) tables1 3 and 4 available at httpastfaagov as of Mar 19 2009

Table 1-36 Worldwide Commercial Space Launches

a Sea Launch is an international venture involving organizations in four countries and uses its own launch facility outside national borders Their first commercial launch in 1999 was licensed by the Federal Aviation Administration

A commercial launch is a launch that is internationally competed (ie available in principle to international launch providers) or whose primary payload is commercial in nature FAA-licensed launches carrying captive government (NASA and DOD) or industry payloads (ORBCOMM Delta 3 demosat Zenit 3SL demosat and others) are counted here Data are for orbital launches only

1990ndash99 US Department of Transportation Federal Aviation Administration Associate Administrator for Commercial Space Transportation personal communication June 4 2002

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air total 33399 57626 117542 147400 219068 290136 358873 350185 365564 372130 398199 414688 446652 463112 476362 502457 531329 502406 482310 505158 557893 583689 590633

Air carrier certificated domestic all services 31099 53226 108442 136000 204368 277836 345873 338085 354764 362230 388399 403888 434652 450612 463262 488357 516129 486506 482310 505158 557893 583689 590633General aviationa 2300 4400 9100 11400 14700 12300 13000 12100 10800 9900 9800 10800 12000 12500 13100 14100 15200 15900 U U U U U

Highway totalb 1272078 1555237 2042002 2404954 2653510 3012953 3561209 3600322 3697719 3768066 3837512 3868070 3968386 4089366 4200635 4304270 4390076 4643794 4667038 4721869 4844452 (R) 4887945 4933689Passenger carbc 1144673 1394803 1750897 1954166 2011989 2094621 2281391 2200260 2208226 2213281 2249742 2286887 2337068 2389065 2463828 2494870 2544457 2556481 2620389 2641885 2685827 (R) 2699305 2658621Motorcyclebc g g 3277 6192 12257 11812 12424 11656 11946 12184 12390 10777 10912 11089 11311 11642 11516 11760 12131 12163 12855 (R) 13277 15750Other 2-axle 4-tire vehicle c h h 225613 363267 520774 688091 999754 1116958 1201667 1252860 1269292 1256146 1298299 1352675 1380557 1432625 1467664 1678853 1674792 1706103 1780771 (R) 1804848 1887997Truck single-unit 2-axle 6-tire or more 98551 128769 27081 34606 39813 45441 51901 52898 53874 56772 61284 62705 64072 66893 68021 70304 70500 85489 75866 77757 78441 (R) 78496 80331Truck combination 28854 31665 35134 46724 68678 78063 94341 96645 99510 103116 108932 115451 118899 124584 128359 132384 135020 161169 138737 140160 142370 (R) 144028 142706Busd N N N N N 94925 121398 121906 122496 129852 135871 136104 139136 145060 148558 162445 160919 150042 145124 143801 144188 (R) 147992 148285

Transit totale N N N N 39854 39581 41143 40703 40241 39384 39585 39808 41378 42339 44128 45857 47666 49070 48324 47903 49073 49680 (P) 52154Motor busd N N N N 21790 21161 20981 21090 20336 20247 18832 18818 19096 19604 20360 21205 21241 22022 21841 21262 21377 21825 (P) 22821Light rail N N N N 381 350 571 662 701 705 833 860 957 1035 1128 1206 1356 1437 1432 1476 1576 1700 (P) 1866Heavy rail N N N N 10558 10427 11475 10528 10737 10231 10668 10559 11530 12056 12284 12902 13844 14178 13663 13606 14354 14418 (P) 14721Trolley bus N N N N 219 306 193 195 199 188 187 187 184 189 182 186 192 187 188 176 173 173 (P) 164Commuter rail 4197 4128 4592 4513 6516 6534 7082 7344 7320 6940 7996 8244 8351 8038 8704 8766 9402 9548 9504 9559 9719 9473 (P) 10361Demand responsived N N N N N 364 431 454 495 562 577 607 656 754 735 813 839 855 853 930 962 1058 (P) 1078Ferry boat N N N N i i 286 282 271 260 260 260 265 294 294 310 330 325 333 394 393 394 (P) 400Other N N N N 390 439 124 148 182 251 232 273 339 369 441 469 462 518 510 500 519 639 (P) 743

RailIntercity Amtrakf 17064 13260 6179 3931 4503 4825 6057 6273 6091 6199 5921 5545 5050 5166 5304 5330 5498 5559 5468 5680 5511 5381 5410

1996-99 American Public Transit Association personal communication Aug 13 2001

1990-2002 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003-06 American Association of Railroads Railroad Facts 2006 (Washington DC 2007) p 77

1960-2006 American Public Transportation Association Public Transportation Fact Book (Washington DC Annual issues) table 6 and similar tables in earlier editionsRail Intercity Amtrak1960-80 Association of American Railroads Railroad Facts (Washington DC Annual issues)1985 Amtrak Amtrak FY95 Annual Report Statistical Appendix (Washington DC 1996) p 4

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmTransitFerryboat1992 American Public Transit Association personal communication July 19 2000

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmSingle-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A

Motorcycle1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmOther 2-axle 4-tire vehicle

HighwayPassenger car and motorcycle1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtm

1985-2005 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) page 3 line1General aviation1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 45-46

Air carrier passenger-miles are computed by summing the products of the aircraft-miles flown on each interairport segment multiplied by the number of passengers carried on that segment Highway passenger-miles from 1960 to 1994 are calculated by multiplying vehicle-miles of travel as cited by FHWA by the average number of occupants for each vehicle type Average vehicle occupancy rates are based on various sources such as the National Household Travel Survey conducted by the Federal Highway Administration and the Vehicle Inventory and Use Survey conducted by the Bureau of the Census Transit passenger-miles are the cumulative sum of the distances ridden by each passenger Rail passenger-miles represent the movement of 1 passenger for 1 mile

NOTES

Numbers may not add to totals due to rounding

Table 1-37 US Passenger-Miles (Millions)

SOURCESAirAir carrier domestic all services

KEY N = data do not exist U = data are not available P = preliminary R = revised

a All operations other than those operating under 14 CFR 121 and 14 CFR 135

b In July 1997 FHWA published revised passenger-miles data for the highway modes for a number of years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category Passenger-miles for passenger car motorcycle and other 2-axle 4-tire vehicles were derived by multiplying vehicle-miles for these vehicles by average vehicle occupancy rates provided by the Nationwide Personal Transportation Survey (1977 1983 and 1995) and the National Household Travel Survey (2001)

g Included in passenger carh Included in other single-unit 2-axle 6-tire or more truck

All other data

c US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary report provides updated data for passenger car and motorcycle combined Passenger car figures in this table were computed by US Department of Transportation Bureau of Transportation Statistics by subtracting the most current motorcycle figures from the aggregate passenger car and motorcycle figures d Motor bus and demand responsive figures are also included in the bus figure for highwaye Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-miles f Amtrak began operations in 1971 Does not include contract commuter passengers

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)

2000-06 Ibid 2005 Public Transportation Fact Book (Washington DC Annual issues) table 54 and similar tables in earlier editions

i Ferryboat included in other

Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number PercentAll workers 106630 1000 103741 1000 116469 1000 118041 1000 120191 1000 115342 1000 123250 1000 138266 1000 139260 1000Automobile total 93943 881 91301 880 101908 875 103467 877 105586 878 101664 881 109005 884 119898 867 120442 865

Drives self 81322 763 79449 766 90207 775 92363 782 93942 782 91607 794 97781 793 105046 760 105955 761Carpool total 12621 118 11852 114 11701 100 11104 94 11644 97 10057 87 11224 91 14852 107 14488 104

2-person 9708 91 9105 88 9294 80 8705 74 9036 75 7866 68 8669 70 11408 83 11139 803-person 1748 16 1684 16 1526 13 1454 12 1635 14 1351 12 1501 12 1992 14 1963 144+ person 1165 11 1063 10 881 08 945 08 973 08 840 07 1054 09 1451 10 1385 10

Public transportationa 4880 46 4740 46 5337 46 5779 49 5627 47 5081 44 5424 44 5933 43 6801 49Taxicab 152 01 117 01 139 01 144 01 133 01 128 01 131 01 178 01 179 01Bicycle or motorcycle 795 07 744 07 738 06 749 06 847 07 691 06 705 06 895 06 949 07Walks only 3634 34 3227 31 3869 33 3627 31 3408 28 3171 27 2875 23 3952 29 3954 28Other meansb 491 05 474 05 867 07 987 08 1049 09 1072 09 962 08 1999 14 1258 09Works at home 2736 26 3137 30 3611 31 3288 28 3401 28 3536 31 4148 34 5411 39 5677 41a Public transportation refers to bus streetcar subway or elevated trains

Table 1-38 Principal Means of Transportation to Work (Thousands)19931989 200720011997 2006200520031999

b Other means include ferryboats surface trains and van service and other means not classified

NOTES

Principal means of transportation refers to the mode used most often when different means of transportation were used on different days of the week or the mode used for the longest distance during the trip to work when more than one mode is used to get to work each day

2006-07 US Census Bureau 2007 American Community Surveyavailable at httpfactfindercensusgov as of Oct 14 2008

Numbers may not add to totals due to rounding

SOURCES

1989-2005US Department of Housing and Urban Development American Housing Survey for the United States 2005 (Washington DC 2006) table 2-24 and similar tables in earlier editions Available at httpwwwcensusgovhheswwwahshtml as of Oct 12 2006

Table 1-39 Long-Distance Travel in the United States by Selected Trip Characteristics 2001(Roundtrips to destinations at least 50 miles away)

Person trips (thousands) Person-miles (millions)

Personal-use vehicle trips (thousands)

Personal-use vehicle-miles (millions)

Number Percent Number Percent Number Percent Number Percent

TOTAL 2617126 1000 1360813 1000 2336094 1000 760325 1000

Principal means of transportation 2617126 1000 1360813 1000 2336094 1000 760325 1000

Personal-use vehicle 2336094 893 760325 559 2336094 1000 760325 1000

Airplane 193290 74 557609 410 NA NA NA NA

Commercial airplane 187063 71 551314 405 NA NA NA NA

Bus 55443 21 27081 20 NA NA NA NA

Intercity 22941 09 9945 07 NA NA NA NA

Charter or tour 32502 12 17136 13 NA NA NA NA

Train 21144 08 10546 08 NA NA NA NA

Ship boat or ferry 2040 01 4278 03 NA NA NA NA

Other 3728 01 840 01 NA NA NA NA

Not reported 5388 02 133 00 NA NA NA NA

Roundtrip distance 2617126 1000 1360813 1000 2336094 1000 760325 1000

Less than 200 miles 1249018 477 175171 129 1209312 518 170441 224

200ndash299 miles 456100 174 110937 82 439120 188 106748 140

300ndash499 miles 377177 144 144972 107 355501 152 136328 179

500ndash999 miles 269109 103 185695 136 231182 99 157405 207

1000-1999 miles 132548 51 189468 139 71481 31 97652 128

2000 miles or more 133174 51 554569 408 29498 13 91749 121

Mean (miles) 520 NA NA NA 325 NA NA NA

Median (miles) 209 NA NA NA 194 NA NA NA

Calendar quarter 2617126 1000 1360813 1000 2336094 1000 760325 1000

1st quarter 576111 220 291733 214 510906 219 162400 214

2nd quarter 684382 262 397302 292 602396 258 199958 263

3rd quarter 733488 280 374407 275 667600 286 220300 290

4th quarter 623146 238 297371 219 555192 238 177666 234

Main purpose of trip 2617126 1000 1360813 1000 2336094 1000 760325 1000

Commute 330369 126 67599 50 318336 136 57571 76

Business 399312 153 279337 205 316006 135 100665 132

Pleasure 1464914 560 827035 608 1322501 566 476681 627

Visit relatives or friends 663203 253 357095 262 609457 261 220583 290

Leisurea786532 301 456201 335 700467 300 250863 330

Rest or relaxation 73810 28 30431 22 68750 29 21602 28

Sightseeing 39764 15 20591 15 34721 15 12828 17

Outdoor recreation 125627 48 44203 32 116724 50 34802 46

Entertainment 176062 67 61561 45 154347 66 43581 57

Personal business 245679 94 108752 80 229706 98 76814 101

Other 176202 67 77342 57 149019 64 48437 64

Not reported 651 002 748 005 526 002 157 002

Nights away from home 2617126 1000 1360813 1000 2336094 1000 760325 1000

None 1472089 562 321353 236 1401406 600 279249 367

1ndash3 nights 821311 314 431155 317 728311 312 284967 375

4ndash7 nights 230335 88 326913 240 155194 66 124495 164

8 or more nights 93392 36 281390 207 51183 22 71613 94

Mean excluding none (nights) 35 NA NA NA 30 NA NA NA

Type of lodging at destination 2617126 1000 1360813 1000 2336094 1000 760325 1000

Friends or relatives home 480887 184 370166 272 416652 178 204705 269

Hotel motel or resort 369065 141 469505 345 252951 108 149185 196

Rented cabin condo or vacation home 48041 18 41529 31 42016 18 25037 33

Owned cabin condo or vacation home 67816 26 36725 27 63248 27 23988 32

Camper trailer recreational vehicle tent 60815 23 35118 26 59519 25 29924 39

Other type of lodging 99902 38 73314 54 83930 36 38356 50

Did not stay overnight 1489330 569 333896 245 1417045 607 288922 380

Not reported 1271 005 559 004 731 003 208 003

Nights at destination

Mean nights at destination 15 NA NA NA 11 NA NA NA

Friends or relatives home 33 NA NA NA 27 NA NA NA

Hotel motel or resort 28 NA NA NA 23 NA NA NA

KEY NA = not applicable

a Includes other leisure purposes not shown separately

NOTE

Numbers may not add to totals due to rounding

SOURCE

US Department of Transportation Bureau of Transportation Statistics Federal Highway Administration National Household Travel Survey data CD-ROM February 2004

Number Percent Number Percent Number Percent Number Percent Number Percent

TOTAL 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Under 5 19281 70 113329 43 56136 41 107012 46 37220 49

5ndash17 years 52450 189 337984 129 169303 124 297520 127 101565 134

18ndash24 years 23918 86 209171 80 97575 72 192499 82 60386 79

25ndash29 years 18432 66 192382 74 109392 80 172075 74 56290 74

30ndash39 years 43114 156 505463 193 260673 192 447666 192 136738 180

40ndash49 years 40924 148 483005 185 257444 189 428672 183 134938 177

50ndash59 years 30498 110 391161 149 204614 150 351977 151 110109 145

60ndash64 years 11250 41 123103 47 67517 50 111692 48 39101 51

65ndash74 years 18345 66 155190 59 81500 60 140226 60 53741 71

75 years and over 18997 69 106337 41 56659 42 86755 37 30237 40

Median (years) 335 NA 373 NA NA NA 374 NA NA NA

Sex total 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Male 135291 488 1499967 573 757454 557 1347123 577 429259 565

Female 141917 512 1117160 427 603358 443 988971 423 331066 435

Race total 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

White 193338 697 2033914 777 1058412 778 1821143 780 595944 784

Black 33877 122 207350 79 91393 67 180399 77 59363 78

Asian or Pacific Islander 7223 26 49559 19 59235 44 39501 17 12067 16

American Indian Eskimo or Aleutian 1316 05 12565 05 5975 04 11688 05 3693 05

Other 39472 142 294628 113 136480 100 266200 114 84115 111

Not reported 1983 07 19110 07 9318 07 17163 07 5144 07

Ethnicity total 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Hispanic origin 35043 126 253100 97 118516 87 227266 97 71465 94

Not of Hispanic origin 242165 874 2364026 903 1242297 913 2108828 903 688859 906

Household income 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Less than $25000 58935 213 327852 125 133903 98 302354 129 95773 126

$25000ndash$39999 54404 196 454543 174 188296 138 422556 181 138312 182

$40000ndash$49999 29471 106 297383 114 135256 99 278871 119 86849 114

$50000ndash$59999 26622 96 285398 109 147926 109 260465 111 85859 113

$60000ndash$74999 25557 92 305461 117 134024 98 281037 120 83941 110

$75000ndash$99999 32264 116 380371 145 221657 163 332095 142 107055 141

$100000 or more 33587 121 444802 170 334526 246 359642 154 129050 170

Not reported 16369 59 121316 46 65224 48 99074 42 33486 44

Household type 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

One adult no children 13743 50 139195 53 84619 62 119661 51 38003 50

One adult youngest child 0-5 5736 21 25736 10 15239 11 21777 09 6528 09

One adult youngest child 6-15 8242 30 70325 27 31689 23 63413 27 18918 25

One adult youngest child 16-21 2614 09 22080 08 7677 06 18741 08 4967 07

One adult retired no children 8750 32 42932 16 23648 17 36142 15 11325 15

Two or more adults no children 50160 181 620148 237 355433 261 542463 232 175694 231

Two or more adults youngest child 0-5 69688 251 593106 227 291117 214 536070 229 172395 227

Two or more adults youngest child 6-15 64237 232 590787 226 292422 215 530746 227 167498 220

Two or more adults youngest child 16-21 18741 68 205093 78 101686 75 182859 78 57110 75

Two or more adults retired no children 35297 127 307725 118 157284 116 284221 122 107887 142

Educational attainment total (Persons 16

years and over) 208479 1000 2173473 1000 1144890 1000 1940042 1000 624049 1000

Less than high school graduate 30601 147 183801 85 84797 74 162768 84 49856 80

High school graduate 63428 304 585117 269 225637 197 554002 286 168467 270

Some college no degree 43377 208 458953 211 211462 185 423517 218 137884 221

Associates degree 13570 65 162145 75 80413 70 146649 76 46528 75

Bachelors degree 33063 159 437767 201 285168 249 369402 190 126532 203

Some grad school or grad degree 23237 111 339237 156 253592 221 278227 143 93484 150

Not reported 1202 06 6453 03 3822 03 5477 03 1299 02

Activity status total (Persons 16 years

and over) 208479 1000 2173473 1000 1144890 1000 1940042 1000 624049 1000

Working full time 115428 554 1426531 656 716671 626 1275103 657 382355 613

Retired 35611 171 254291 117 137388 120 230254 119 85957 138

Other 57098 274 491046 226 289717 253 433191 223 155015 248

Not reported 342 02 1605 01 1115 01 1495 01 722 01

SOURCE

US Department of Transportation Bureau of Transportation Statistics Federal Highway Administration National Household Travel Survey data CD-ROM February 2004

Numbers may not add to totals due to rounding

KEY NA = not applicable

NOTE

Table 1-40 Long-Distance Travel in the United States by Selected Traveler Characteristics 2001(Roundtrips to destinations at least 50 miles away)

Personal-use vehicle

trips (thousands)

Personal-use vehicle-

miles (millions)

Person trips

(thousands)

Person-miles

(millions)

Persons

(thousands)

RankTotal Enplaned

Passengers RankTotal Enplaned

Passengers RankTotal Enplaned

Passengers

Atlanta GA (Hartsfield-Jackson Atlanta International) ATL 2 30407111 1 41659180 1 40561055 334 -26Chicago IL (Chicago OHare International) ORD 1 30526401 2 34513840 2 34538523 131 01Dallas TX (DallasFort Worth International) DFW 3 26639351 3 27781723 3 28333481 64 20Los Angeles CA (Los Angeles International) LAX 4 22799083 4 22966374 4 23120782 14 07Denver CO (Denver International) DEN 6 15246315 6 20261091 5 22239718 459 98Las Vegas NV (McCarran International) LAS 9 14116485 5 20690104 6 21147480 498 22Phoenix AZ (Phoenix Sky Harbor International) PHX 7 14807863 7 20077737 7 20330995 373 13Houston TX (George Bush Intercontinental) IAH 14 11621912 8 18249888 8 19613422 688 75Detroit MI (Detroit Metropolitan Wayne County) DTW 8 14117157 10 17380159 9 17281152 224 -06Minneapolis MN (Minneapolis-St Paul InternationalWold-Chamberlain) MSP 12 12616095 9 17886902 10 17134607 358 -42Newark NJ (Newark Liberty International) EWR 11 12952399 12 14878468 11 16271958 256 94Orlando FL (Orlando International) MCO 16 10846685 11 15535919 12 15378208 418 -10Philadelphia PA (Philadelphia International) JFK 19 9703787 13 14456484 13 14965019 542 35New York NY (John F Kennedy International) PHL 24 8571888 14 14411122 14 14438445 684 02Seattle WA (Seattle-Tacoma International) SEA 15 11486892 15 13964482 15 14291086 244 23Charlotte NC (Charlotte Douglas International) CLT 18 10007911 17 13279429 16 14107603 410 62San Francisco CA (San Francisco International) SFO 5 16308203 16 13829903 17 13906724 -147 06Miami FL (Miami International) MIA 13 11907895 18 12192270 18 12780840 73 48Boston MA (General Edward Lawrence Logan International) BOS 17 10653824 20 11707169 19 12093139 135 33New York NY (LaGuardia) LGA 20 9593965 19 12119157 20 12071453 258 -04Salt Lake City UT (Salt Lake City International) SLC 21 9462849 23 10589843 21 10277654 86 -29Baltimore MD (BaltimoreWashington International Thurgood Marshall) BWI 29 5907427 25 9563821 22 10019927 696 48Washington DC (Dulles International) IAD 35 4758242 21 11599100 23 9553095 1008 -176Fort Lauderdale FL (Fort Lauderdale-Hollywood International) FLL 32 4848058 24 10036938 24 9425289 944 -61Chicago IL (Chicago Midway) MDW 38 4436034 29 8343201 25 8913135 1009 68Tampa FL (Tampa International) TPA 30 5720761 26 8996109 26 8846722 546 -17Washington DC (Ronald Reagan Washington National) DCA 26 6771891 28 8507707 27 8838646 305 39San Diego CA (San Diego International) SAN 27 6549170 27 8568237 28 8611784 315 05Honolulu HI (Honolulu International) HNL 23 9035709 30 8107456 29 8304573 -81 24Cincinnati OH (CincinnatiNorthern Kentucky International) CVG 25 7301767 22 11225311 30 7939156 87 -293Oakland CA (Oakland International) OAK 36 4684494 31 6936037 31 6990359 492 08St Louis MO (Lambert-St Louis International) STL 10 13546822 32 6742592 32 6937174 -488 29Portland OR (Portland International) PDX 28 6125579 33 6667403 33 6811500 112 22Memphis TN (Memphis International) MEM 41 3944376 34 5627970 34 5508105 396 -21Kansas City MO (Kansas City International) MCI 34 4820290 39 5023692 35 5417680 124 78Cleveland OH (Cleveland-Hopkins International) CLE 31 5286823 35 5374470 36 5288819 00 -16San Jose CA (Norman Y Mineta San Jose International) SJC 33 4825943 36 5233950 37 5196515 77 -07Sacramento CA (Sacramento International) SMF 45 3321408 38 5049631 38 5124995 543 15San Juan PR (Luis Munoz Marin International) SJU 37 4549722 37 5157226 39 5069747 114 -17Santa Ana CA (John Wayne-Orange County) SNA 43 3532746 40 4791169 40 4775825 352 -03Nashville TN (Nashville International) BNA 48 3254956 43 4518169 41 4703808 445 41Raleigh NC (Raleigh-Durham International) RDU 52 2879935 42 4662943 42 4597105 596 -14Pittsburgh PA (Pittsburgh International) PIT 22 9348286 41 4749997 43 4568569 -511 -38Houston TX (William P Hobby) HOU 40 4026140 45 3959941 44 4113486 22 39Indianapolis IN (Indianapolis International) IND 44 3328005 44 4144250 45 3966788 192 -43Austin TX (Austin-Bergstrom International) AUS 53 2829581 48 3637262 46 3918155 385 77San Antonio TX (San Antonio International) SAT 46 3319535 50 3524520 47 3822380 151 85Fort Myers FL (Southwest Florida Regional) RSW 60 1945044 47 3644301 48 3642754 873 00Dallas TX (Love Field) DAL 42 3540539 56 2948373 49 3439110 -29 166Hartford CT (Bradley International) BDL 56 2549669 49 3542051 50 3333430 307 -59Total top 50b NA NA 464893952 NA 570252224 NA 572561975 232 04All airports NA NA 558559160 NA 690256949 NA 691170716 237 01

Table 1-41 Passengers Boarded at the Top 50 US Airportsa

(Ranked By Passenger Enplanements in 2006)

Code

1996 2005 2006

Percent change 1996-2006

Percent change 2005-2006Airport

SOURCEUS Department of Transportation Bureau of Transportation Statistics Office of Airline Information T-3 data various years (Washington DC 2008)

KEY NA = not applicable R = revised

a Rank order by total enplaned passengers on large certificated US air carriers (Majors Nationals Large Regionals and Medium Regionals) scheduled and nonscheduled operations at all airports served within the 50 states the District of Columbia and other US areas designated by the Federal Aviation Administration

NOTE

Large certificated air carriers hold Certificates of Public Convenience and Necessity issued by the US Department of Transportation authorizing the performance of air transportation Large certificated air carriers operate at least one aircraft with seating capacity of more than 60 seats or a maximum payload capacity of more than 18000 pounds Data for commuter small-certificated and foreign-flag air carriers are not included

b The total for the top 50 airports will not sum from the individual airports because some top 50 airports in 2006 were not in the top 50 in the earlier years

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL arriving passengers (excludes Canada)

12646 20262 24156 36414 35464 38927 41558 43818 46910 49853 54315 56181 57785 62217 56700 53865 53952 59582 60699 62951

United States (excludes Canada) 6502 10031 11798 19145 18910 20537 21940 23291 24582 25148 26744 27390 27462 29837 27985 26953 26557 29992 31657 32735Foreign (excludes Canada) 6144 10231 12357 17269 16554 18390 19618 20527 22328 24704 27571 28791 30324 32380 28715 26912 27395 29591 29042 30217Selected countries of embarkationa

Australia 106 227 277 495 561 598 591 551 581 622 618 613 670 812 739 724 674 758 789 808Bahama Islands 758 1123 1503 1679 1436 1341 1370 1424 1433 1487 1530 1396 1337 1471 1458 1430 1491 1500 1554 1509Barbados 76 135 216 228 197 191 208 196 222 212 203 195 197 208 191 206 218 229 205 230Belgium 144 242 281 417 366 357 408 377 379 407 589 715 730 778 598 330 305 375 382 364Bermuda 398 497 434 487 430 405 436 447 426 363 425 407 384 374 334 312 310 311 323 358Brazil 212 300 352 584 635 645 711 878 1112 1176 1388 1377 1154 1280 1094 977 949 1010 1087 1154Canadab N N N 6870 6263 6546 6843 6812 7417 8501 8895 9613 9676 10236 9166 8686 8380 9189 9785 UChinaTaiwan 50 113 206 325 404 447 606 830 972 1017 1068 1080 1170 1186 1092 1024 846 986 1085 1141Colombia 173 315 279 286 305 343 389 443 481 499 586 606 649 674 683 590 618 658 594 787Denmark 222 267 241 313 279 295 285 267 221 236 252 225 223 232 240 309 314 314 278 350Dominican Republic 336 468 606 948 849 951 1027 1070 1136 1168 1168 1251 1368 1498 1430 1409 1593 1745 1805 1961France 512 689 955 1777 1600 1926 1877 2017 2045 2178 2323 2523 2591 3147 3023 2879 2735 2965 2970 2941Germany 622 1175 1582 2466 2444 2797 2922 2883 3125 3173 3545 3558 3491 3886 3519 3483 3673 3955 4177 4252Grand Cayman 25 121 173 273 256 229 185 294 314 323 328 370 335 343 317 291 287 284 171 303Greece 121 208 187 132 83 146 165 201 220 235 186 192 191 195 135 108 101 129 129 163Haiti 91 133 192 233 217 154 200 137 314 303 289 293 327 303 317 338 353 312 247 302Hong Kong 98 228 270 356 397 437 511 558 658 668 589 592 650 731 735 697 519 796 893 1002Ireland 220 220 274 448 418 569 582 660 642 721 716 775 950 1064 992 848 1025 1105 1243 1319Israel 84 189 294 204 202 231 293 332 412 483 482 502 547 577 400 343 356 449 512 576Italy 431 537 662 792 716 885 903 953 1007 1047 1097 1078 1171 1511 1269 1082 983 1220 1254 1301Jamaica 457 429 707 975 907 888 982 1040 1124 1136 1162 1219 1209 1248 1226 1238 1226 1267 1200 1499Japan 1095 1624 2435 4528 4510 4972 4999 5149 5676 6349 6736 6630 6991 6974 5876 5666 5261 6071 6263 5769Korea Republic of 105 234 390 826 827 971 1070 1166 1335 1514 1625 1184 1240 1470 1262 1253 1192 1364 1439 1545Mexico 1626 2886 2719 4313 4467 4625 4778 5107 4884 5591 6124 6318 6576 6999 6591 6349 6753 7604 8075 8471Netherlands 312 427 583 837 892 1039 1297 1427 1580 1774 2074 2213 2318 2401 2132 2104 2055 2213 2252 1944Netherland Antilles 213 327 407 388 353 290 360 390 339 305 368 382 371 389 371 371 401 422 397 441Panama Republic 97 150 180 153 175 177 201 221 225 229 227 267 308 359 343 339 370 387 364 468Philippines 108 194 145 246 261 315 318 375 397 379 410 275 331 405 400 365 339 414 383 496Spain 306 312 419 558 520 659 600 578 604 618 675 732 734 827 758 769 809 872 772 855Switzerland 236 312 452 616 525 549 603 676 733 790 910 1068 1026 1069 913 701 699 707 711 712United Kingdom 1549 2973 3460 5166 4793 5651 6006 6087 6648 7131 7935 8640 8780 9382 8435 8217 8281 8801 8654 8432Venezuela 205 533 248 458 510 576 653 702 786 659 709 810 794 718 730 556 400 527 449 535

Table 1-42 Air Passenger Travel Arrivals in the United States from Selected Foreign Countries by Flag of Carriers (Thousands of passengers)

KEY N = data do not exist U = data are not available

a Country where passenger boarded a direct flight to the United Statesb Canadian figures come from a separate source and represents the number of revenue passengers on scheduled commercial and charter flights Does not include foreign (non-Canadian non-US) scheduled carriers

NOTES

Includes passengers on international commercial flights arriving at US airports and travelers between US airports in the 50 states Puerto Rico Guam or the Virgin Islands and other US territories Data compiled from flight reports required by the US Immigration and Naturalization Service except for Canada

SOURCESTotals and all selected Countries except for Canada

1975-94 US Department of Transportation Research and Special Programs Administration Volpe National Transportation Systems Center US International Air Travel Statistics (Cambridge MA Annual issues) table IIa

1995 US Department of Commerce International Trade Administration US International Air Passenger Statistics Report Calendar Year 1995 (Washington DC 1996) table IIa

1996-2006 Ibid US International Air Travel Statistics Report (Washington DC Annual issues) table IIa and personal communication Jan 10 2008

Canada

Statistics Canada Air Carrier Traffic at Canadian Airports (Canada Annual issues) and personal communication Feb 21 2007

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL departing passengers (excludes Canada)

12053 19256 22487 34046 33286 36211 38254 40349 43026 45785 49684 50863 53856 57498 52594 48606 49968 55931 58545 59477

United States (excludes Canada) 5912 9369 10696 17628 17530 18858 20232 21355 22231 22901 24302 24513 25457 27431 25483 23610 24070 27249 29668 35686Foreign (excludes Canada) 6141 9886 11791 16418 15756 17353 18022 18993 20795 22884 25382 26350 28399 30068 27111 24996 25897 28683 28877 23791Selected countries of debarkationa

Australia 103 245 232 540 581 609 588 522 560 614 606 607 686 806 713 686 672 766 828 879Bahama Islands 704 1006 1151 1279 1128 1005 1046 963 1024 994 983 955 1027 1137 1007 935 1101 1151 1230 1252Barbados 74 126 204 230 199 185 207 208 217 210 200 196 202 214 204 189 206 222 237 246Belgium 134 231 249 395 318 355 372 334 340 380 513 622 713 740 586 265 269 346 369 351Bermuda 372 467 389 277 237 217 247 242 199 196 215 207 206 189 150 165 216 251 261 289Brazil 206 291 322 560 592 659 696 826 1024 1135 1292 1297 1134 1194 1081 936 928 989 1094 1147Canadab N N N 6870 6263 6546 6798 6764 7405 8477 8890 9647 9692 10246 9161 8672 8406 9222 9807 UChinaTaiwan 41 90 187 337 447 481 616 803 891 945 939 934 975 1026 944 927 770 917 1008 1048Colombia 171 299 294 277 294 324 353 415 461 467 567 588 585 622 649 587 615 640 696 790Denmark 188 254 254 307 239 266 272 254 229 227 259 217 214 227 239 316 334 357 318 359Dominican Republic 322 443 528 896 780 881 949 980 995 1057 1070 1108 1263 1294 1214 1180 1357 1466 1624 1695France 470 635 894 1626 1523 1769 1759 1896 1868 2021 2147 2289 2544 3082 2927 2588 2620 2887 3065 3008Germany 649 1178 1539 2339 2298 2627 2788 2785 2883 2978 3178 3210 3364 3722 3389 3108 3364 3747 4014 4134Grand Cayman 26 112 161 250 238 196 244 259 264 285 290 305 291 289 271 237 271 255 203 275Greece 123 190 210 129 88 150 150 184 194 206 192 181 170 170 126 102 99 124 115 101Haiti 81 124 169 201 178 139 180 118 292 288 284 295 315 296 300 315 332 286 273 285Hong Kong 59 152 238 310 369 474 477 545 640 651 610 621 621 728 733 657 512 783 894 978Ireland 163 212 233 311 263 316 324 380 409 449 488 554 743 809 797 631 779 837 908 993Israel 105 186 255 259 249 294 317 367 426 492 499 488 515 480 374 338 363 465 484 475Italy 409 495 660 731 694 873 878 918 955 1006 1055 1041 1101 1366 1182 955 962 1172 1246 1310Jamaica 416 382 607 888 821 796 887 909 987 988 1018 1018 1086 1095 1084 1067 1126 1164 1193 1335Japan 1183 1602 2255 4471 4431 4795 4757 4954 5452 6187 6796 6487 6709 6985 5993 5665 5072 5819 5949 5708Korea Republic of 60 186 333 723 759 887 961 1082 1252 1382 1461 1032 1101 1307 1137 1114 1110 1269 1349 1386Mexico 1525 2886 2671 4136 4230 4307 4371 4632 4568 5133 5613 5771 6217 6510 6025 5643 6075 6931 7488 7615Netherlands 304 409 562 777 881 965 1150 1319 1444 1636 1920 1933 2009 2107 1854 1722 1674 1827 1931 1877Netherland Antilles 184 282 395 377 341 309 347 368 295 288 319 340 335 337 344 330 370 384 398 414Panama Republic 100 142 209 183 189 186 194 211 214 221 240 272 299 344 355 343 386 403 422 463Philippines 81 160 165 195 194 241 249 228 281 275 306 218 272 348 309 332 309 376 352 341Spain 260 273 397 540 513 637 576 553 573 577 615 669 708 782 732 688 740 887 799 862Switzerland 224 306 434 600 527 543 593 657 712 760 811 906 983 1038 905 671 690 705 696 699United Kingdom 1446 2840 3322 4903 4594 5245 5682 5918 6372 6693 7475 8143 8717 9154 8180 7659 7962 8709 8497 8156Venezuela 198 518 245 444 488 565 641 686 778 644 698 782 793 694 728 533 405 534 567 552

Table 1-43 Air Passenger Travel Departures from the United States to Selected Foreign Countries by Flag of Carriers (Thousands of passengers)

KEY N = data do not exist U = data are not available R = revised

Totals and all selected Countries except for Canada

a Country where passenger deboarded a direct flight from the United Statesb Canadian figures come from a separate source and represents the number of revenue passengers on scheduled commercial and charter flights Does not include foreign (non-Canadian non-US) scheduled carriers

Includes passengers on international commercial flights departing US airports and travelers between US airports in the 50 states Puerto Rico Guam or the Virgin Islands and other US territories Data compiled from flight reports required by the US Immigration and Naturalization Service except for Canada data Numbers may not add to totals due to rounding

Statistics Canada Air Carrier Traffic at Canadian Airports (Canada Annual issues) and personal communication Feb 21 2007

1975-94 US Department of Transportation Research and Special Programs Administration Volpe National Transportation Systems Center US International Air Travel Statistics (Cambridge MA Annual issues) table IId 1995 US Department of Commerce International Trade Administration US International Air Passenger Statistics Report Calendar Year 1995 (Washington DC 1996) table IId 1996-2006 Ibid US International Air Travel Statistics Report (Washington DC Annual issues) table IId and personal communication Jan 10 2008Canada

NOTES

SOURCES

All US-Canadian land gateways 2002 2003 2004 2005 2006 2007All personal vehicle passengers 70007912 All personal vehicle passengers 61502402 All personal vehicle passengers 64848466 All personal vehicle passengers 62501376 All personal vehicle passengers 62986037 All personal vehicle passengers 58247817All personal vehicles 32538817 All personal vehicles 30220184 All personal vehicles 30660487 All personal vehicles 30351683 All personal vehicles 30038327 All personal vehicles 29763178All bus passengers 4212863 All bus passengers 3779970 All bus passengers 3890380 All bus passengers 3854858 All bus passengers 3499103 All bus passengers 3684631All pedestrians 1081682 All pedestrians 937493 All pedestrians 826017 All pedestrians 605339 All pedestrians 533739 All pedestrians 441066All train passengers 255134 All train passengers 234796 All train passengers 223477 All train passengers 235758 All train passengers 244683 All train passengers 233070All buses 160961 All buses 156589 All buses 155702 All buses 153454 All buses 129433 All buses 136420Personal vehicle passengers ndash top 5 gatewaysBuffalo-Niagara Falls NY 17031458 Buffalo-Niagara Falls NY 13216214 Buffalo-Niagara Falls NY 13195191 Buffalo-Niagara Falls NY 13224477 Buffalo-Niagara Falls NY 13514778 Buffalo-Niagara Falls NY 14372038Detroit MI 12318806 Detroit MI 10965872 Detroit MI 10574206 Detroit MI 10655076 Detroit MI 9932051 Detroit MI 9560365Blaine WA 4794088 Blaine WA 4491959 Blaine WA 4936364 Blaine WA 4868308 Blaine WA 5276202 Blaine WA 5187218Port Huron MI 4188972 Port Huron MI 3821908 Port Huron MI 3909238 Port Huron MI 4001589 Port Huron MI 4106919 Port Huron MI 3523429Champlain-Rouses Point NY 3766141 Champlain-Rouses Point NY 3521091 Massena NY 3598175 Champlain-Rouses Point NY 2921118 Champlain-Rouses Point NY 2920749 Champlain-Rouses Point NY 1923295Personal vehicles ndash top 5 gatewaysBuffalo-Niagara Falls NY 7569643 Buffalo-Niagara Falls NY 6414415 Buffalo-Niagara Falls NY 6148983 Detroit MI 6035004 Buffalo-Niagara Falls NY 6026058 Buffalo-Niagara Falls NY 5977040Detroit MI 6857332 Detroit MI 6315590 Detroit MI 6131426 Buffalo-Niagara Falls NY 6034398 Detroit MI 5634179 Detroit MI 5471657Blaine WA 2385389 Blaine WA 2299636 Blaine WA 2524256 Blaine WA 2482065 Blaine WA 2596970 Blaine WA 2763389Port Huron MI 2187210 Port Huron MI 1965011 Port Huron MI 1995988 Port Huron MI 1953413 Port Huron MI 1975745 Port Huron MI 1704479Massena NY 1162510 Massena NY 1133727 Calais ME 1200379 Calais ME 1174011 Calais ME 1173617 Calais ME 1032840Bus passengers ndash top 5 gatewaysBuffalo-Niagara Falls NY 1556924 Buffalo-Niagara Falls NY 1321778 Buffalo-Niagara Falls NY 1222775 Buffalo-Niagara Falls NY 1367283 Detroit MI 911799 Buffalo-Niagara Falls NY 1142765Detroit MI 915551 Detroit MI 904425 Detroit MI 930725 Detroit MI 931100 Buffalo Niagara Falls NY 885061 Detroit MI 870982Blaine WA 336696 Blaine WA 283863 Blaine WA 329297 Champlain-Rouses Point NY 296390 Blaine WA 452521 Blaine WA 337322Champlain-Rouses Point NY 282859 Champlain-Rouses Point NY 234620 Champlain-Rouses Point NY 277018 Blaine WA 294564 Champlain-Rouses Point NY 294028 Champlain-Rouses Point NY 306898Port Huron MI 147309 Sault Ste Marie MI 192760 Sault Ste Marie MI 223800 Skagway AK 134204 Skagway AK 144819 Sault Ste Marie MI 165136Pedestrians ndash top 5 gatewaysBuffalo-Niagara Falls NY 818913 Buffalo-Niagara Falls NY 656022 Buffalo-Niagara Falls NY 547126 Buffalo-Niagara Falls NY 370295 Buffalo-Niagara Falls NY 345652 Buffalo-Niagara Falls NY 277000Sumas WA 64432 Sumas WA 59330 Sumas WA 54911 Calais ME 44238 Sumas WA 28963 Sumas WA 33341Portland MEa 39293 Calais ME 45899 Calais ME 44762 Sumas WA 33769 Calais ME 22323 Calais ME 29123Calais ME 35154 Portland MEa 38129 International Falls MN 28180 International Falls MN 24497 International Falls MN 20440 Point Roberts WA 14762International Falls MN 24175 International Falls MN 27623 Portland MEa

21599 Point Roberts WA 22440 Point Roberts WA 14935 International Falls MN 14238Train passengers ndash top 5 gatewaysBlaine WA 60521 Skagway AK 44430 Skagway AK 52353 Skagway AK 67462 Skagway AK 74347 Skagway AK 80816Buffalo-Niagara Falls NY 47315 Blaine WA 43515 Blaine WA 41705 Buffalo-Niagara Falls NY 35951 Buffalo-Niagara Falls NY 37880 Buffalo-Niagara Falls NY 39640Champlain-Rouses Point NY 33738 Buffalo-Niagara Falls NY 37240 Buffalo-Niagara Falls NY 31045 Blaine WA 35454 Champlain-Rouses Point NY 33518 Blaine WA 32106Skagway AK 29754 Champlain-Rouses Point NY 28325 Champlain-Rouses Point NY 30294 Champlain-Rouses Point NY 29831 Blaine WA 32184 Champlain-Rouses Point NY 20881Port Huron MI 26815 Port Huron MI 25485 Port Huron MI 18297 Port Huron MI 19032 Port Huron MI 16070 Detroit MI 9323Buses ndash top 5 gatewaysBuffalo-Niagara Falls NY 50582 Buffalo-Niagara Falls NY 43358 Buffalo-Niagara Falls NY 39920 Buffalo-Niagara Falls NY 45289 Detroit MI 36457 Buffalo-Niagara Falls NY 37529Detroit MI 36603 Detroit MI 36177 Detroit MI 37229 Detroit MI 37244 Buffalo-Niagara Falls NY 30295 Detroit MI 33615Blaine WA 15748 Sault Ste Marie MI 15760 Sault Ste Marie MI 17453 Blaine WA 12720 Blaine WA 12776 Blaine WA 14405Champlain-Rouses Point NY 10415 Blaine WA 12865 Blaine WA 14279 Skagway AK 10257 Skagway AK 10405 Skagway AK 11309Sault Ste Marie MI 8831 Champlain-Rouses Point NY 11290 Skagway AK 9515 Sault Ste Marie MI 10243 Champlain-Rouses Point NY 8317 Champlain-Rouses Point NY 8124

Table 1-44 US-Canadian Border Land-Passenger Gateways Entering the United States

a Gateway is a pedestrianferry combination crossing

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwbtsgovitt as of October 2008

NOTE

Data reflect all personal vehicles buses passengers and pedestrians entering the United States across the US-Canadian border regardless of nationality

SOURCE

All US-Mexican land gateways 2002 2003 2004 2005 2006 2007All personal vehicle passengers 199020692 All personal vehicle passengers 193697482 All personal vehicle passengers 190936607 All personal vehicle passengers 186067448 All personal vehicle passengers 179255014 All personal vehicle passengers 164534262All personal vehicles 89849415 All personal vehicles 88068391 All personal vehicles 91133889 All personal vehicles 91556319 All personal vehicles 88295570 All personal vehicles 81788235All pedestrians 50278281 All pedestrians 48663773 All pedestrians 48084235 All pedestrians 45829612 All pedestrians 46251414 All pedestrians 49538963All bus passengers 3926154 All bus passengers 3746885 All bus passengers 3388517 All bus passengers 3169779 All bus passengers 3187282 All bus passengers 3389055All buses 309360 All buses 319087 All buses 269027 All buses 256396 All buses 262862 All buses 265162All train passengers 15108 All train passengers 12101 All train passengers 12664 All train passengers 17833 All train passengers 21504 All train passengers 20482Personal vehicle passengers top 5 gatewaysSan Ysidro CA 36171884 San Ysidro CA 39180519 San Ysidro CA 33382991 San Ysidro CA 32265477 San Ysidro CA 31868563 San Ysidro CA 28390175El Paso TX 26363164 El Paso TX 26317018 El Paso TX 28108167 El Paso TX 29180824 El Paso TX 27999510 El Paso TX 23674992Hidalgo TX 17613527 Brownsville TX 15673205 Hidalgo TX 15514648 Brownsville TX 14614745 Laredo TX 14244080 Laredo TX 13367960Laredo TX 15915545 Hidalgo TX 15587611 Brownsville TX 15374317 Laredo TX 14017324 Brownsville TX 14023353 Hidalgo TX 13304851Brownsville TX 15820595 Laredo TX 15208606 Laredo TX 15032956 Hidalgo TX 13989453 Hidalgo TX 12632201 Brownsville TX 13062876Personal vehicles top 5 gatewaysSan Ysidro CA 16441766 San Ysidro CA 17408481 San Ysidro CA 17621030 San Ysidro CA 17208106 San Ysidro CA 17135163 San Ysidro CA 15696262El Paso TX 13095153 El Paso TX 13699206 El Paso TX 14817206 El Paso TX 15971739 El Paso TX 15602602 El Paso TX 14062053Hidalgo TX 8136100 Brownsville TX 7219865 Brownsville TX 7211401 Brownsville TX 7103553 Brownsville TX 6967503 Hidalgo TX 6835305Brownsville TX 7896809 Hidalgo TX 7169629 Hidalgo TX 7183674 Hidalgo TX 6969846 Hidalgo TX 6480467 Brownsville TX 6476671Laredo TX 6921709 Laredo TX 6777423 Laredo TX 6725119 Otay Mesa CA 6672994 Calexico CA 6110214 Calexico CA 5747309Pedestrians top 5 gatewaysEl Paso TX 9301395 El Paso TX 8899168 San Ysidro CA 9457600 San Ysidro CA 8156350 San Ysidro CA 7811614 El Paso TX 8454434San Ysidro CA 7903483 San Ysidro CA 8302110 El Paso TX 8441671 El Paso TX 7613546 Nogales AZ 7726045 San Ysidro CA 7756569Calexico CA 6894820 Calexico CA 6230123 Nogales AZ 6131407 Nogales AZ 6930198 El Paso TX 7500141 Nogales AZ 7722877Nogales AZ 5911866 Nogales AZ 5583533 Calexico CA 4847096 Calexico CA 4481014 Laredo TX 4245842 Calexico CA 5290977Laredo TX 4648046 Laredo TX 4577725 Laredo TX 4507105 Laredo TX 4356041 Calexico CA 4048629 Laredo TX 4625416Bus passengers top 5 gatewaysSan Ysidro CA 1199630 San Ysidro CA 1244973 San Ysidro CA 1032343 San Ysidro CA 995337 San Ysidro CA 1060444 Laredo TX 899461Laredo TX 757459 Laredo TX 748644 Laredo TX 802635 Laredo TX 826679 Laredo TX 878164 San Ysidro CA 875450Hidalgo TX 632923 Hidalgo TX 655430 Hidalgo TX 650100 Hidalgo TX 369443 Otay Mesa CA 312862 El Paso TX 442191Otay Mesa CA 546493 El Paso TX 392718 El Paso TX 265096 El Paso TX 276381 El Paso TX 239749 Hidalgo TX 310225El Paso TX 351335 Otay Mesa CA 303756 Otay Mesa CA 251461 Otay Mesa CA 251614 Nogales AZ 217093 Otay Mesa CA 296637Buses top 5 gatewaysSan Ysidro CA 97042 San Ysidro CA 110820 San Ysidro CA 109946 San Ysidro CA 105930 San Ysidro CA 100632 San Ysidro CA 97726Otay Mesa CA 65474 Otay Mesa CA 72749 Otay Mesa CA 41032 Otay Mesa CA 39203 Otay Mesa CA 44793 Otay Mesa CA 47258Laredo TX 38852 Laredo TX 35406 Laredo TX 37902 Laredo TX 35841 Laredo TX 37105 Laredo TX 37106El Paso TX 32270 Hidalgo TX 32805 Hidalgo TX 32701 Hidalgo TX 27964 Hidalgo TX 27344 Hidalgo TX 28942Hidalgo TX 31952 El Paso TX 30031 El Paso TX 17551 El Paso TX 15993 El Paso TX 14843 El Paso TX 18530Train passengers top 5 gatewaysEagle Pass TX 6872 Eagle Pass TX 6496 Eagle Pass TX 6612 El Paso TX 7637 El Paso TX 11165 El Paso TX 10519Nogales AZ 2216 El Paso TX 1869 El Paso TX 2234 Eagle Pass TX 7248 Eagle Pass TX 5348 Eagle Pass TX 5940Calexico East CA 1934 Nogales AZ 1664 Nogales AZ 1656 Calexico East CA 1239 Nogales AZ 2612 Nogales AZ 2352El Paso TX 1866 Calexico East CA 1456 Calexico East CA 1618 Nogales AZ 952 Calexico East CA 1556 Calexico East CA 694Tecate CA 1760 Otay MesaSan Ysidro CA 460 Otay MesaSan Ysidro CA 510 Otay MesaSan Ysidro CA 478 Otay MesaSan Ysidro CA 422 Otay MesaSan Ysidro CA 490

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwtranstatsbtsgovbordercrossingaspx as of October 2008

Table 1-45 US-Mexican Border Land-Passenger Gateways Entering the United States

NOTEData reflect all personal vehicles buses passengers and pedestrians entering the United States across the US-Mexican border regardless of nationality

Table 1-46a US Ton-Miles of Freight (Millions)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL US ton-miles of freight (millions) U 1854034 2206713 2284706 2988522 2949410 (R) 3314677 (R) 3348634 (R) 3418086 (R) 3438542 (R) 3614823 (R) 3769036 (R) 3823723 (R) 3805437 (R) 3832237 (R) 3907225 (R) 3907042 (R) 3930546 U U U U U UAir carrier domestic all servicesa 553 1353 2709 3470 4528 5156 9064 8860 9820 10675 11803 12520 12861 13601 13840 14202 14983 13288 13882 15231 16451 (R) 15741 15357 15098Intercity truckb 285000 359000 412000 454000 555000 610000 (R) 854000 (R) 874000 (R) 896000 (R) 936000 (R) 996000 (R) 1042000 (R) 1071000 (R) 1119000 (R) 1149000 (R) 1186000 (R) 1203000 (R) 1224000 1255000 1264000 U U U UClass I rail 572309 697878 764809 754252 918958 876984 1033969 1038875 1066781 1109309 1200701 1305688 1355975 1348926 1376802 1433461 1465960 1495472 1507011 1551438 1662598 1696425 1771897 1770545Domestic water transportation cd U 489803 596195 565984 921836 892970 833544 848399 856685 789658 814919 807728 764687 707410 672795 655862 645799 621686 612081 606146 621170 591277 561629 U

Coastwise U 302546 359784 315846 631149 610977 479134 502133 502311 448404 457601 440345 408086 349843 314864 292730 283872 274559 263688 278919 279857 263464 227155 ULakewise U 75918 79416 68517 61747 48184 60930 55339 55785 56438 58263 59704 58335 62166 61654 57045 57879 50854 53653 47539 55733 51924 53105 UInternal U 109701 155816 180399 227343 232708 292393 289959 297639 283894 297762 306329 296791 294023 294896 304724 302558 294861 293410 278352 284096 274367 279778 UIntraport U 1638 1179 1222 1596 1102 1087 968 950 922 1293 1350 1475 1378 1381 1362 1490 1413 1329 1336 1484 1521 1591 U

Oil pipelined 229000 306000 431000 507000 588200 564300 584100 578500 588800 592900 591400 601100 619200 616500 619800 617700 577300 576100 586200 590200 599600 U U UKEY R = revised U = data are not available

a Includes freight express and mail revenue ton-miles as reported on US DOT Form 41 b Methodology was changed in 1990 for intercity trucks Therefore figures prior to 1990 are not comparable to those after 1990c Excludes intraterritorial traffic for which ton-miles were not compiledd The large increase between1975 and 1980 was a result of a new Alaska pipeline and consequent water transportation of crude petroleum from Alaskan ports to mainland United States for refining

NOTENumbers may not add to totals due to roundings

SOURCESAir carrier domestic all services1960-65 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970)1970-80 Ibid Air Carrier Traffic Statistics (Washington DC Annual issues) p 2 line 31985-2007 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues) p 3 line 3 Intercity truck Eno Transportation Foundation Inc Transportation in America 2007 (Washington DC 2007) p 40Class I railAssociation of American Railroads Railroad Facts (Washington DC Annual Issues) p 27Domestic water transportationUS Army Corps of Engineers Waterborne Commerce of the US (New Orleans LA Annual issues) part 5 section 1 table 1-4 and similar tables in earlier editions available at httpwwwiwrusacearmymilndcwcscwcschtm as of December 2008Oil pipeline1960-70 Eno Transportation Foundation Inc Transportation in America 1998 (Washington DC 1998) p 441975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC Annual issues) table 41980-2004 Ibid Shifts in Petroleum Transportation (Washington DC Annual issues) table 1

1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991TOTAL US ton-miles of freight 3404015 3366977 3195585 3251983 3340242 3313968 3328383 3474621 3597143 3567921 3621943 3636104Air 4840 5090 5140 5870 6500 6710 7340 8670 9330 10210 10420 9960Truck 629675 630899 646693 674021 706896 716808 735213 774923 800858 828508 848779 867938Railroad 932000 924000 810000 841000 900091 876209 891235 951940 1025683 1045628 1064408 1041929Domestic water transportation 921835 929413 886469 919566 887719 892971 873401 895415 890029 815550 833544 848399

Coastwise 631149 634765 632707 649750 593923 610977 580889 586818 561595 483889 479134 502133Lakewise 61747 62148 35623 43088 49784 48184 43198 50077 58160 58308 60930 55339Internal 227343 231184 217027 225628 242855 232708 248117 257336 269036 272157 292393 289959Intraport 1596 1316 1112 1100 1157 1102 1197 1184 1238 1196 1087 968

Pipeline 915666 877574 847284 811526 839037 821270 821195 843673 871243 868025 864792 867878Oil and oil products 588000 564000 566000 556000 568000 564000 578000 587000 601000 584000 584100 578500Natural Gas 327666 313574 281284 255526 271037 257270 243195 256673 270243 284025 280692 289378

KEY R = revised

Table 1-46b US Ton-Miles of Freight (BTS Special Tabulation) (Millions)

SOURCEUS Department of Transportation Bureau of Transportation Statistics special tabulation

NOTES

BTS is developing more comprehensive and reliable estimates of ton-miles for the air truck rail water and pipeline modes than are presented in table 1-46a These improved estimates are not comparable to data in table 1-46a Improved estimates for 1960-1989 which will allow more comprehensive and reliable data for the entire period from 1960 to present are still under development and will be reported when they are completed Numbers may not add to totals due to rounding

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 20063746398 3767376 3944968 4104235 4174096 4179411 4228559 4300631 4328642 4357472 4409000 4414797 (R) 4541097 (R) 4574701 4637513

10990 11540 12030 12720 13760 13900 14140 14500 15810 13288 13837 15096 16451 (R) 15741 15357890231 927980 987923 1034041 1061952 1110554 1139777 1176388 1192825 1213208 1245542 1264773 1281573 (R) 1291515 1294492

1098379 1135016 1221073 1317010 1377095 1391089 1448352 1503665 1546319 1599332 1605532 1603564 1684461 1733777 1852833856683 789657 814917 807728 764687 707410 672795 655861 645799 621687 612080 606146 621170 591276 561629502311 448404 457600 440345 408086 349843 314864 292730 283872 274559 263688 278919 279857 263464 227155

55784 56438 58263 59704 58335 62166 61654 57045 57879 50854 53653 47539 55733 51924 53105297638 283894 297762 306329 296791 294023 294896 304724 302558 294861 293410 278352 284096 274367 279778

950 921 1292 1350 1475 1378 1381 1362 1490 1413 1329 1336 1484 1521 1591890114 903183 909025 932737 956602 956458 953495 950217 927889 909957 932009 925218 (R) 937442 (R) 942392 913202588800 592900 591400 601100 619200 616500 619800 618000 577000 576000 586000 590000 599600 (R) 607500 584700301314 310283 317625 331637 337402 339958 333695 332217 350889 333957 346009 335218 (R) 337842 (R) 334892 328502

Gateway Typea Rank Exports Imports Total Rank Exports Imports TotalLos Angeles CA Water 1 299 1504 1802 1 263 1437 1700New York NY and NJ Water 2 406 1246 1652 2 332 1161 1493John F Kennedy International NY Air 3 770 842 1612 3 684 794 1478Long Beach CA Water 4 267 1204 1471 5 214 1133 1347Detroit MI Land 5 733 633 1366 4 728 645 1372Houston TX Water 6 534 612 1146 7 419 609 1029Laredo TX Land 7 474 630 1104 6 458 582 1040Chicago IL Air 8 334 531 866 9 313 467 781Los Angeles International CA Air 9 416 380 796 8 410 380 791Buffalo-Niagara Falls NY Land 10 386 400 786 10 355 400 755Port Huron MI Land 11 307 463 771 11 255 449 703San Francisco International CA Air 12 297 319 616 12 295 343 638Charleston SC Water 13 198 411 609 13 161 391 551Savannah GA Water 14 183 313 496 18 136 261 397Norfolk VA Water 15 207 288 495 16 174 271 445El Paso TX Land 16 200 291 491 14 210 257 467Anchorage AK Air 17 107 345 453 15 115 332 446Baltimore MD Water 18 140 280 420 19 96 270 366Dallas-Fort Worth TX Air 19 181 234 415 17 175 241 416New Orleans LA Air 20 182 229 411 21 142 200 341Seattle WA Water 21 92 284 376 20 86 260 346Atlanta GA Air 22 125 229 354 23 124 209 332Oakland CA Water 23 114 234 348 22 98 236 333Miami International FL Air 24 240 104 345 25 207 96 303Tacoma WA Water 25 60 278 338 24 49 277 326New Orleans LA Water 26 159 171 330 27 115 145 260Otay Mesa Station CA Land 27 99 208 307 26 99 187 286Cleveland OH Air 28 159 114 273 28 161 97 258Morgan City LA Water 29 01 264 265 29 01 254 256Beaumont TX Water 30 21 213 233 30 19 202 220Corpus Christie TX Water 31 42 187 228 36 33 157 190Hidalgo TX Land 32 90 129 219 34 83 118 200Champlain-Rouses Point NY Land 33 81 134 215 35 72 128 199Jacksonville FL Water 34 90 120 210 31 87 125 212Port Everglades FL Water 35 101 109 209 38 80 105 186Miami FL Water 36 90 105 195 33 89 114 203San Juan International Airport PR Air 37 103 85 188 46 76 50 126Philadelphia PA Water 38 19 166 185 32 17 190 207Nogales AZ Land 39 60 121 182 37 63 125 189Blaine WA Land 40 99 79 179 39 88 84 171Texas City TX Water 41 25 151 176 44 16 120 137Pembina ND Land 42 94 78 172 40 85 69 154Portland OR Water 43 36 123 159 43 26 115 141Washgington DC Air 44 52 97 149 42 51 100 151Boston Logan Airport MA Air 45 88 59 147 45 83 53 136Gramercy LA Water 46 60 86 147 55 47 62 109Newark NJ Air 47 37 104 141 41 31 121 152Sweetgrass MT Land 48 68 69 137 48 63 60 122Lake Charles LA Water 49 15 120 134 58 12 94 106Portal ND Land 50 77 57 134 50 68 51 119Total top 50 gatewaysb

NA NA 9019 15430 24449 NA 8119 14600 22719

Table 1-47 Top US Foreign Trade Freight Gateways by Value of Shipments (Current $ billions)20062007

KEY NA = not applicable

SOURCES

Air US Department of Commerce US Census Bureau Foreign Trade Division special tabulation December 2008

Water US Army Corps of Engineers Navigation Data Center special tabulation December 2008Land US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Transborder Freight Data December 2008

a Water data are preliminary

NOTES

b Data for 2006 is based on the top 50 freight gateways in 2006 and is not a summation of the numbers on the table

All data Trade levels reflect the mode of transportation as a shipment enters or exits at a border port Flows through individual ports are based on reported data collected from US trade documents Trade does not include low-value shipments (In general these are imports valued at less than $1250 and exports that are valued at less than $2500)

Air Data for all air gateways are reported at the port level and include a low level (generally less than 2-3 of the total value) of small user-fee airports located in the same region Air gateways not identified by airport name (eg Chicago IL and others) include major airport(s) in that geographic area in addition to small regional airports In addition due to Bureau of Census confidentiality regulations data for courier operations are included in the airport totals for JFK International Airport New Orleans Los Angeles Cleveland Chicago Miami and Anchorage

Numbers may not add to totals due to rounding

Table 1-48 US-Canadian Border Land-Freight Gateways Number of Truck or Rail Container Crossings

2002 2003 2004 2005 2006 2007TruckTotal US-Canadian border (R) 6915973 Total US-Canadian border 6728228 Total US-Canadian border 6903882 Total US-Canadian border 6783944 Total US-Canadian border 6649249 Total US-Canadian border 6559263Total top 5 gateways 4567704 Total top 5 gateways 4478405 Total top 5 gateways 4591686 Total top 5 gateways 4553263 Total top 5 gateways 4499055 Total top 5 gateways 4457219Detroit MI 1670565 Detroit MI 1634319 Detroit MI 1701452 Detroit MI 1745318 Detroit MI 1770008 Detroit MI 1773465Buffalo-Niagara NY 1208095 Buffalo-Niagara NY 1162961 Buffalo-Niagara NY 1175254 Buffalo-Niagara NY 1142411 Buffalo-Niagara NY 1117789 Buffalo-Niagara NY 1088438Port Huron MI 907729 Port Huron MI 928074 Port Huron MI 945962 Port Huron MI 922401 Port Huron MI 835927 Port Huron MI 770282Blaine WA 410256 Champlain-Rouse Pt NY 387962 Champlain-Rouse Pt NY 397317 Champlain-Rouse Pt NY 388869 Champlain-Rouse Pt NY 409372 Blaine WA 438001Champlain-Rouses Point NY 371059 Blaine WA 365089 Blaine WA 371701 Blaine WA 354264 Blaine WA 365959 Champlain-Rouse Pt NY 387033RailTotal US-Canadian border 1824976 Total US-Canadian border 1868245 Total US-Canadian border 1950909 Total US-Canadian border 1940557 Total US-Canadian border 1923787 Total US-Canadian border 1939876Total top 5 gateways 1305446 Total top 5 gateways 1333244 Total top 5 gateways 1346724 Total top 5 gateways 1325479 Total top 5 gateways 1333105 Total top 5 gateways 1347207Port Huron MI 424635 Port Huron MI 458551 Port Huron MI 474175 Port Huron MI 457275 Port Huron MI 445269 Port Huron MI 466569Detroit MI 293300 Detroit MI 254688 International Falls MN 259165 International Falls MN 251118 International Falls MN 282784 International Falls MN 290852International Falls MN 238515 International Falls MN 252699 Detroit MI 234823 Portal ND 231832 Portal ND 244988 Portal ND 242220Portal ND 199637 Portal ND 217390 Portal ND 224896 Detroit MI 231482 Detroit MI 218963 Detroit MI 213777Buffalo-Niagara NY 149359 Buffalo-Niagara NY 149916 Buffalo-Niagara NY 153665 Buffalo-Niagara NY 153772 Buffalo-Niagara NY 141101 Buffalo-Niagara NY 133789NOTES

Truck Data represent the number of truck crossings not the number of unique vehicles Data are for both loaded and empty trucks Rail Data includes both loaded and empty rail containers

SOURCE

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwbtsgovitt as of December 2008

Table 1-49 US-Mexican Border Land-Freight Gateways Number of Truck or Rail Container Crossings2002 2003 2004 2005 2006 2007

TruckTotal US-Mexican border 4426593 Total US-Mexican border 4238045 Total US-Mexican border 4503688 Total US-Mexican border 4675897 Total US-Mexican border 4758915 Total US-Mexican border 4882500Total top 5 gateways 3544815 Total top 5 gateways 3378199 Total top 5 gateways 3604137 Total top 5 gateways 3737803 Total top 5 gateways 3778528 Total top 5 gateways 3895641Laredo TX 1441653 Laredo TX 1354229 Laredo TX 1391850 Laredo TX 1455607 Laredo TX 1518989 Laredo TX 1563836Otay MesaSan Ysidro CA 731291 Otay MesaSan Ysidro CA 697152 Otay MesaSan Ysidro CA 726164 El Paso TX 740654 Otay MesaSan Ysidro CA 749472 El Paso TX 782936El Paso TX 705199 El Paso TX 659614 El Paso TX 719545 Otay MesaSan Ysidro CA 730253 El Paso TX 744951 Otay MesaSan Ysidro CA 738765Hidalgo TX 390282 Hidalgo TX 406064 Hidalgo TX 454351 Hidalgo TX 491077 Hidalgo TX 457825 Hidalgo TX 486756Calexico East CA 276390 Calexico East CA 261140 Calexico East CA 312227 Calexico East CA 320212 Calexico East CA 307291 Calexico East CA 323348RailTotal US-Mexican border 602322 Total US-Mexican border 607475 Total US-Mexican border 675305 Total US-Mexican border 728559 Total US-Mexican border 803291 Total US-Mexican border 813511Total top 5 gateways 591255 Total top 5 gateways 596773 Total top 5 gateways 660214 Total top 5 gateways 710238 Total top 5 gateways 788472 Total top 5 gateways 797481Laredo TX 296782 Laredo TX 313244 Laredo TX 317061 Laredo TX 316402 Laredo TX 332950 Laredo TX 341856Eagle Pass TX 98236 Brownsville TX 98622 El Paso TX 110992 El Paso TX 143741 Brownsville TX 97572 El Paso TX 179076Brownsville TX 96591 Eagle Pass TX 88329 Brownsville TX 97803 Brownsville TX 105175 El Paso TX 185614 Eagle Pass TX 134041Nogales AZ 52236 El Paso TX 50893 Eagle Pass TX 87459 Eagle Pass TX 98089 Eagle Pass TX 112521 Brownsville TX 90139El Paso TX 47410 Nogales AZ 45685 Nogales AZ 46899 Nogales AZ 46831 Nogales AZ 59815 Nogales AZ 52369NOTESTruck Data represent the number of truck crossings not the number of unique vehicles Data are for both loaded and empty trucks Rail Data includes both loaded and empty rail containers

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwbtsgovitt as of December 2008

Table 1-50 US Waterborne Freight (Million short tons)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

TOTAL freight 10999 12729 15317 16950 19989 17884 21639 20921 21321 21282 22148 22404 22841 23331 23395 23226 24246 23933 23403 23943 (R) 25519 25276Foreign 3393 4437 5810 7487 9214 7743 10416 10136 10375 10600 11157 11474 11834 12206 12454 12608 13548 13508 13193 13781 (R) 15049 14987

Imports 2113 2698 3393 4766 5175 4127 6000 5554 5867 6488 7195 6727 7326 7883 8407 8608 9397 9518 9349 10048 (R) 10891 10969Exports 1280 1739 2416 2721 4039 3616 4416 4582 4508 4113 3962 4747 4508 4323 4047 4000 4150 3990 3843 3733 (R) 4158 4018

Domestic 7606 8292 9507 9463 10775 10141 11223 10785 10946 10682 10990 10930 11007 11125 10941 10618 10698 10425 10210 10161 (R) 10471 10289Inland 2911 3696 4721 5039 5350 5347 6226 6004 6210 6073 6184 6203 6221 6306 6250 6246 6284 6198 6080 6096 (R) 6262 6240Coastal 2092 2015 2384 2319 3296 3098 2986 2945 2851 2717 2770 2666 2674 2631 2496 2288 2269 2236 2164 2235 (R) 2206 2137Great Lakes 1551 1537 1571 1293 1151 920 1102 1034 1074 1099 1148 1161 1149 1227 1222 1139 1144 1000 1015 898 (R) 1035 962Intraport 1042 1029 815 783 942 743 864 756 768 744 829 831 890 898 901 886 946 932 900 869 (R) 913 902Intraterritory 10 15 16 29 36 34 45 46 42 50 59 69 73 63 72 59 55 59 51 64 55 49

KEY R = revised

NOTES Beginning in 1996 shipments of fish are excluded from domestic tonnage totalsNumbers may not add to totals due to rounding

SOURCES

1960-2003 US Army Corps of Engineers Waterborne Commerce of the United States Calendar Year 2004 (New Orleans LA) part 5 tables 1-1 1-3 and 1-62004-2005 Ibid Preliminary Waterborne Commerce Statistics for Calendar Year 2005 (New Orleans LA) Internet site httpwwwiwrusacearmymilndc as of May 7 2007

Ports RankTotal tons (Millions) Rank

Total tons (Millions) Rank

Total tons (Millions)

South Louisiana LA 1 2255 1 2122 1 1898 62 188Houston TX 2 2221 2 2117 2 1482 50 499New York NY and NJ 3 1576 3 1521 3 1316 36 198Long Beach CA 4 844 5 799 9 584 57 445Beaumont TX 5 795 6 789 21 357 08 1226Corpus Christi TX 6 776 7 776 6 805 -01 -36Huntington - Tristate 7 772 4 839 26 275 -80 1808New Orleans LA 8 769 8 659 4 837 167 -82Los Angeles CA 9 660 12 549 16 457 202 444Mobile AL 10 598 11 577 12 509 38 176Lake Charles LA 11 584 13 527 15 491 108 190Baton Rouge LA 12 563 9 593 5 810 -50 -304Plaquemines LA Port of 13 559 15 479 8 669 167 -165Texas City TX 14 489 10 578 10 564 -155 -133Duluth-Superior MN and WI 15 470 16 447 19 414 50 135Tampa FL 16 462 14 492 13 493 -60 -62Baltimore MD 17 424 18 441 17 436 -38 -26Pittsburgh PA 18 420 19 436 11 509 -38 -175Paulsboro NJ 19 392 23 321 27 250 224 567Philadelphia PA 20 386 20 394 18 419 -19 -78Pascagoula MS 21 377 26 293 24 293 284 283Valdez AK 22 362 17 444 7 771 -187 -531Norfolk Harbor VA 23 342 21 353 14 493 -29 -305Savannah GA 24 340 25 301 36 176 128 930Freeport TX 25 321 22 336 29 246 -43 308St Louis MO and IL 26 313 24 303 22 302 32 38Portland OR 27 285 29 281 23 297 12 -42Port Arthur TX 28 284 31 264 20 372 76 -236Seattle WA 29 280 30 281 30 235 -04 188Charleston SC 30 264 33 254 51 111 39 1384Tacoma WA 31 260 28 283 32 215 -80 211Chicago IL 32 257 32 258 25 279 -04 -78Richmond CA 33 256 35 245 31 218 46 175Portland ME 34 252 27 293 42 152 -138 656Port Everglades FL 35 248 34 247 34 189 06 314Jacksonville FL 36 222 37 218 39 167 20 327Boston MA 37 219 36 224 33 201 -23 87Marcus Hook PA 38 201 39 203 47 124 -08 625Memphis TN 39 191 41 171 37 173 117 104Detroit MI 40 174 40 174 35 176 -05 -15Oakland CA 41 166 42 166 50 112 01 482Honolulu HI 42 162 38 204 48 120 -204 351Indiana Harbor IN 43 162 45 141 38 169 145 -43Cleveland OH 44 152 47 136 40 167 113 -92Anacortes WA 45 151 43 158 44 138 -40 94Two Harbors MN 46 134 51 110 52 107 225 259Cincinnati OH 47 133 44 146 46 128 -86 41San Juan PR 48 129 48 134 43 151 -31 -143Newport News VA 49 113 46 137 28 248 -172 -543Toledo OH 50 112 53 105 45 130 63 -144Total top 50 22879 22319 20235 25 131All ports 25884 25276 22841 24 133

NOTE

SOURCE

Table 1-51 Tonnage of Top 50 US Water Ports Ranked by Total Tonsa

Percent change

1996-2006

Percent change

2005-2006

US Army Corps of Engineers Waterborne Commerce of the United States Part 5 National Summaries (New Orleans LA Annual issues) tables 1-1and 5-2

2006 19962005

a Tonnage totals include both domestic and foreign waterborne trade

Numbers may not add to totals due to rounding

1993

(billion $)

1997

(billion $)

(R) 2002

(billion $)

(R) Percent

change

(1993-2002)

1993

(millions)

1997

(millions)

(R) 2002

(millions)

(R) Percent

change

(1993-2002)

1993

(billions)

1997

(billions)

(R) 2002

(billions)

(R) Percent

change

(1993-2002)

TOTAL all modes 58463 69440 83972 436 96885 110897 116679 204 24209 26614 31379 296

Single modes total 49415 57196 70494 427 89223 104365 110867 243 21369 23835 28679 342

Trucka 44035 49815 62350 416 63859 77007 78428 228 8695 10235 12559 444

For-hire truck 26251 29013 37571 431 28083 34026 36573 302 6290 7411 9596 526

Private truck 17558 20365 24453 393 35435 41373 41497 171 2359 2686 2911 234

Rail 2474 3196 3109 257 15441 15498 18739 214 9426 10225 12616 338

Water 616 758 893 450 5054 5634 6812 348 2720 2617 2826 39

Shallow draft 407 539 575 412 3625 4148 4586 265 1644 1893 2115 287

Great Lakes S 15 08 S 330 384 380 151 124 134 138 114

Deep draft 197 204 310 571 1099 1102 1846 679 952 590 574 -398

Air (includes truck and air) 1391 2291 2650 905 31 45 38 198 40 62 58 455

Pipelineb 898 1135 1492 661 4836 6182 6850 416 S S S S

Multiple modes total 6626 9459 10792 677 2257 2167 2167 -40 1915 2045 2257 179

Parcel US Postal Service or courier 5633 8559 9877 754 189 237 255 350 132 180 190 445

Truck and rail 831 757 699 -158 406 542 43 58 377 556 455 208

Truck and water 94 82 144 529 680 332 233 -657 406 348 324 -202

Rail and water 36 18 33 -84 792 793 105 327 702 776 1150 638

Other multiple modes 32 43 38 188 189 262 198 44 S 186 138 S

Other unknown modes total 2423 2786 2686 109 5405 4365 3646 -326 926 734 442 -522

NOTE

SOURCES

c Ton-miles estimates are based on estimated distances traveled along a modeled transportation network

2002 US Department of Transportation Bureau of Transportation Statistics and US Department of Commerce Census Bureau 2002 Commodity Flow Survey United States (Washington DC December 2004) table 1a

Numbers may not add to totals due to rounding Value-of-shipments estimates have not been adjusted for price changes Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification system to the 1997 North American Industry Classification System and other survey improvements Therefore data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years

1993 1997 US Department of Transportation Bureau of Transportation Statistics and US Department of Commerce Census Bureau 1997 Commodity Flow Survey United States (Washington DC December 1999) table 1b

Table 1-52 Freight Activity in the United States 1993 1997 and 2002Value Tons Ton-miles

c

Mode of transportation

KEY S = data are not published because of high sampling variability or other reasons R = reviseda Truck as a single mode includes shipments that went by private truck only for-hire truck only or a combination of both b Excludes most shipments of crude oil

SCTGValue

($billions) PercentTons

(millions) PercentTon-milesb

(billions) PercentValue per

ton ($)

Averagemiles per shipment

01 Live animals and live fish 74 01 61 01 16 01 1211 530

02 Cereal grains 538 06 5611 48 2642 84 96 138

03 Other agricultural products 1295 15 2592 22 1094 35 500 481

04 Animal feed and products of animal origin (NEC) 521 06 2280 20 512 16 229 167

05 Meat fish seafood and their preparations 2013 24 845 07 414 13 2382 162

06 Milled grain products preparations and bakery products 1134 14 1093 09 490 16 1037 189

07 Other prepared foodstuffs and fats and oils 3556 42 4489 38 1616 51 792 179

08 Alcoholic beverages 1090 13 894 08 257 08 1219 55

09 Tobacco products 699 08 44 00 10 00 15988 334

10 Monumental or building stone 30 00 225 02 16 01 135 170

11 Natural sands 36 00 4730 41 300 10 8 45

12 Gravel and crushed stone 129 02 18665 160 1058 34 7 30

13 Nonmetallic minerals (NEC) 101 01 1846 16 566 18 55 185

14 Metallic ores and concentrates 140 02 983 08 630 20 143 474

15 Coal 229 03 12399 106 6863 219 18 120

17 Gasoline and aviation turbine fuel 2794 33 10636 91 1172 37 263 52

18 Fuel oils 1161 14 5490 47 555 18 212 32

19 Coal and petroleum products (NEC) 821 10 4480 38 930 30 183 102

20 Basic chemicals 1537 18 3477 30 1160 37 442 417

21 Pharmaceutical products 4791 57 243 02 113 04 19741 693

22 Fertilizers 340 04 2643 23 876 28 129 157

23 Chemical products and preparations (NEC) 2266 27 1060 09 537 17 2138 385

24 Plastics and rubber 3257 39 1400 12 808 26 2327 424

25 Logs and other wood in the rough 58 01 S S 78 02 S S

26 Wood products 1586 19 3459 30 1202 38 458 242

27 Pulp newsprint paper and paperboard 1025 12 1371 12 782 25 748 206

28 Paper or paperboard articles 1037 12 692 06 234 07 1499 282

29 Printed products 1345 16 340 03 170 05 3953 816

30 Textiles leather and articles of textiles or leather 4664 56 512 04 318 10 9104 940

31 Nonmetallic mineral products 1500 18 9680 83 1359 43 155 357

32 Base metal in primary or semifinished forms and in finished basic shapes 2598 31 3281 28 1213 39 792 270

33 Articles of base metal 2346 28 1164 10 427 14 2014 392

34 Machinery 4842 58 634 05 345 11 7638 377

35 Electronic and other electrical equipment and components and office equipment 8908 106 496 04 303 10 17963 713

36 Motorized and other vehicles (including parts) 7486 89 1331 11 590 19 5624 395

37 Transportation equipment (NEC) 1550 18 184 02 106 03 8447 1074

38 Precision instruments and apparatus 2251 27 184 02 39 01 12264 922

39 Furniture mattresses and mattress supports lamps lighting fittings and illuminated signs 1397 17 325 03 137 04 4293 515

40 Miscellaneous manufactured products 3874 46 792 07 345 11 4891 995

41 Waste and scrap 379 05 2172 19 480 15 174 166

43 Mixed freight 8403 100 2999 26 528 17 2802 329

Commodity unknown 172 02 243 02 89 03 710 485All commodities

a83972 1000 116679 1000 31379 1000 720 589

US Department of Transportation Bureau of Transportation Statistics US Department of Commerce Census Bureau 2002 Commodity Flow Survey United States (Washington DC December 2004) table 5a

Table 1-53 Value Tons and Ton-Miles of Freight Shipments within the United States by Domestic Establishments 2002 R

NOTE

SOURCE

Coverage for the 2002 Commodity Flow Survey (CFS) differs from previous surveys due to a change from the 1987 Standard Industrial Classification system to the 1997 North American Industry Classification System and other survey improvements Therefore data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years

a Estimates exclude shipments of crude petroleum (SCTG 16)b Ton-miles estimates are based on estimated distances traveled along a modeled transportation network

KEY NEC = not elsewhere classified R = revised SCTG = Standard Classification of Transportation Goods S = data are not published due to high sampling variability or some other problem

table_01_53xls

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Exports to Canada total 1247012 1298841 1391097 1339703 1377454 1463741 1548474 1456616 1464353 1548708 1718781 1929075 2092832 2260583

Truck 891511 974234 1027430 1111738 1148061 1231400 1298253 1176945 1182591 1242350 1358975 1512217 1643181 1743427Rail 135939 152719 156787 132556 122796 117546 129465 129727 139741 147765 165966 193219 224778 254968Pipeline 1338 1213 1622 1806 934 1139 1616 2213 1743 7596 15842 23939 21800 33345Othera 217532 170105 204675 93361 105595 113600 119134 147720 140267 150992 177767 199331 202634 228338Mail b 693 570 583 241 68 56 06 11 12 04 231 369 438 505

Exports to Mexico total 465033 426622 517534 641695 701653 761290 971589 889264 851578 856148 973037 1042765 1167492 1187585Truck 390665 359142 440918 555926 604321 669238 823892 742231 709247 705508 793492 833412 929916 930472Rail 41920 46944 51192 56480 61888 57106 104958 103894 101430 112649 136329 157477 172712 193400Pipeline 04 10 23 683 734 1442 3018 2961 5679 1553 872 5433 7070 7874Othera 32389 20258 25401 28605 34700 33496 39720 40177 35215 36433 42164 46228 57791 55810Mailc 55 268 ndash 01 10 07 ndash 01 06 04 181 216 03 29

Imports from Canada total 1235049 1436695 1562066 1556826 1621057 1837235 2102705 2008534 1948207 2074484 2367349 2654021 2788892 2847731Truck 794564 889649 984008 998148 1088567 1189014 1278163 1171299 1179853 1167141 1327621 1436956 1498840 1504041Rail 303228 399969 398110 382930 373741 462554 496992 471979 469668 499809 579472 606063 632584 659622Pipeline 97286 106066 127962 138795 111201 120555 231171 259085 218323 314513 368283 487665 538652 550156Othera 39916 38882 49684 35725 45751 63869 95710 105238 79927 92366 89944 121844 117360 129574Mail 55 52 69 04 17 131 41 72 04 03 02 01 02 04FTZd U 2076 2234 1224 1779 1112 628 861 433 653 2026 1493 1455 4335

Imports from Mexico total 436162 540489 633122 721550 817203 950234 1134364 1118703 1143808 1148425 1276460 1354004 1552051 1677132Truck 350139 430143 483500 567165 658837 764480 886687 863772 905936 925350 1049438 1122676 1264636 1370370Rail 77690 91379 122977 126469 120297 146934 210561 220568 207907 197017 201834 207822 258635 270600Pipeline 1879 274 81 36 24 15 115 16 06 02 03 minus 554 1686Othera 6435 7689 6392 6682 9178 12558 15739 15397 15489 16001 18387 19902 23992 26964Mail 19 13 15 02 02 02 06 01 02 minus minus minus minus UFTZd

U 10992 20156 21196 28867 26244 21257 18949 14468 10054 6798 3604 4233 7511

NOTES

c Beginning in January 1996 new edit checks were added in the processing of the these data Because of these checks the number of mail export shipments from the United States to Mexico declined sharply between 1995 and 1996 The Census Bureau found that a number of rail shipments were misidentified as mail shipments in 1994 and 1995 although the exact proportion of these is unknown

KEY ndash = value too small to report U = data are not available

Table 1-54 Value of US Land Exports to and Imports from Canada and Mexico by Mode ($ millions)

a Other includes flyaway aircraft or aircraft moving under their own power (ie aircraft moving from the manufacturer to a customer and not carrying any freight) powerhouse (electricity) vessels moving under their own power pedestrians carrying freight and unknown and miscellaneousb Mail shipments data for several years prior to May 2004 were not compiled correctly resulting in undercounts

US Department of Transportation Bureau of Transportation Statistics Transborder Surface Freight Data Internet site wwwbtsgovtransborder as of Apr 15 2008

d Foreign Trade Zones (FTZs) were added as a mode of transport for land import shipments beginning in April 1995 Although FTZs are being treated as a mode of transportation in the Transborder Surface Freight Data the actual mode for a specific shipment into or out of an FTZ is unknown because US Customs does not collect this information

Shipments that neither originate nor terminate in the United States (ie in transit in-bond shipments) are not included here although they use the US transportation system These shipments are usually part of Mexico-Canada trade and simply pass through the United States Transshipments however are included between 1994 1995 and 1996 these are shipments that entered or exited the United States by way of a Customs port on the northern or southern border but whose origin or destination was a country other than Canada or Mexico Starting in 1997 transshipments are excluded Users should note these differences before comparing figures for 1994-96 with 1997 and subsequent year data Data exclude export shipments valued at less than $2500 and import shipments valued at less than $1250Numbers may not add to totals due to rounding

SOURCE

Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent

Crude oil total 3315 1000 7530 1000 7862 1000 6282 1000 5860 1000 5432 1000 4869 1000 4541 1000 4230 1000 3760 1000 3766 1000 3840 1000 3804 1000

Pipelinesa2880 869 3626 482 3344 425 3348 533 3359 573 3383 623 3374 693 3341 736 3211 759 2834 754 2770 736 2866 746 2845 748

Water carriers 406 122 (c) 3874 514 4492 571 2912 464 2477 423 2024 373 1473 303 1179 260 1000 236 910 242 981 260 957 249 941 247

Motor carriersb14 04 25 03 18 02 15 02 17 03 17 03 17 03 16 04 14 03 12 03 11 03 12 03 13 03

Railroads 15 05 05 01 08 01 07 01 08 01 08 01 05 01 05 01 05 01 04 01 04 01 05 01 05 01

Refined petroleum products total 5152 1000 4923 1000 4093 1000 4486 1000 4589 1000 4790 1000 4696 1000 4757 1000 4899 1000 4973 1000 4932 1000 4806 1000 5029 1000

Pipelinesa2190 425 2256 458 2299 562 2493 556 2652 578 2809 586 2791 594 2857 601 2966 605 2939 591 2991 606 2996 623 3057 608

Water carriers 2574 500 2304 468 1412 345 1578 352 1532 334 1541 322 1483 316 1471 309 1475 301 1534 308 1459 296 1319 274 1460 290

Motor carriersb262 51 243 50 269 66 282 63 246 54 280 58 260 55 267 56 276 56 301 61 297 60 294 61 319 63

Railroads 126 24 120 24 113 27 133 29 159 35 160 33 162 34 162 34 182 37 199 40 185 38 197 41 193 38

Combined crude and petroleum products total 8467 1000 12453 1000 11955 1000 10768 1000 10449 1000 10222 1000 9565 1000 9298 1000 9129 1000 8733 1000 8698 1000 8646 1000 8833 1000

Pipelinesa5070 599 5882 472 5643 472 5841 542 6011 575 6192 606 6165 645 6198 667 6177 677 5773 661 5761 662 5862 678 5902 668

Water carriers 2980 352 (c) 6178 496 5904 494 4490 417 4009 384 3565 349 2956 309 2650 285 2475 271 2444 280 2440 281 2276 263 2401 272

Motor carriersb276 33 268 22 287 24 297 28 263 25 297 29 277 29 283 30 290 32 313 36 308 35 306 35 332 38

Railroads 141 17 125 10 121 10 140 13 166 16 168 16 167 17 167 18 187 20 203 23 189 22 202 23 198 22

SOURCES1975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC) table 61980-2003 Ibid (Annual issues) tables 1 2 and 3

Numbers may not add to totals due to rounding

a The amount carried by pipeline is based on ton-miles of crude and petroleum products transported through federally regulated pipelines (84) plus estimated ton-miles of crude and petroleum products transported through nonfederally regulated pipelines (16)b The amount carried by motor carriers is estimatedc Reflects the entrance between 1975 and 1980 of the Alaska pipeline moving crude petroleum for water transportation to US refineries

NOTE

1999 20011975 1985 1990 20032002

Table 1-55 Crude Oil and Petroleum Products Transported in the United States by Mode (billions)1995 20001980 1996 1997 1998

Table 1-56 US Hazardous Materials Shipments by Transportation Mode 2002Value Tons Ton-miles Average miles

per shipmentTransportation mode ($ billion) Percent (millions) Percent (billions) Percent

TOTAL all modes 6602 1000 21915 1000 3267 1000 136

Single modes total 6445 976 21585 985 3119 955 105

Trucka4196 636 11595 529 1102 337 86

For-hire 1898 288 4495 205 651 199 285

Privateb2267 343 7022 320 441 135 38

Rail 313 47 1094 50 721 221 695

Water 469 71 2282 104 706 216 S

Air 16 02 01 01 2080

Pipelinec1450 220 6614 302 S S S

Multiple modes total 96 15 187 09 125 38 849

Parcel US Postal Service or Courier 43 06 02 ndash 01 ndash 837

Other 54 08 185 08 124 38 1371

Unknown and other modes total 61 09 142 06 23 07 57

KEY ndash = less than 1 unit of measure or equal to zero S = data are not published because of high sampling variability or other reasons

a Truck as a single mode includes shipments that went by private truck only for-hire truck only or a combination of both

b Private truck refers to a truck operated by a temporary or permanent employee of an establishment or the buyerreceiver of the shipmentc Excludes most shipments of crude oil See previous table for the estimated amount of crude oil and petroleum products transported in the United States

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Transportation Bureau of Transportation Statistics US Department of Commerce Census Bureau 2002 Economic Census Transportation 2002 Commodity Flow Survey Hazardous Materials (Washington DC December 2004) table 1a

Table 1-57 US Hazardous Materials Shipments by Hazard Class 2002Value Tons Ton-miles

Average milesHazard class and description ($ billion) Percent (millions) Percent (billions) Percent per shipment

Class 1 Explosives 79 12 50 02 16 05 651

Class 2 Gases 739 112 2134 97 373 114 95

Class 3 Flammable liquids 4902 743 17890 816 2186 669 106

Class 4 Flammable solids 66 10 113 05 44 13 158

Class 5 Oxidizers and organic peroxides 55 08 127 06 42 13 407

Class 6 Toxics (poison) 83 13 85 04 43 13 626

Class 7 Radioactive materials 59 09 01 S

Class 8 Corrosive materials 383 58 907 41 363 111 301

Class 9 Miscellaneous dangerous goods 236 36 610 28 202 62 368

Total 6602 1000 21915 1000 3267 1000 136

KEY = less than 1 unit of measure or rounds to zero S = data were not published because of high sampling variability or other reasons

NOTENumbers may not add to totals due to rounding

SOURCEUS Department of Transportation Bureau of Transportation Statistics US Department of

Commerce Census Bureau 2002 Economic Census Transportation 2002 Commodity Flow Survey Hazardous Materials (Washington DC December 2004) table 2a

Section EPhysical Performance

Table 1-58 Passengers Boarded and Denied Boarding by the Largest US Air Carriersa (Thousands of passengers)1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006 2007

Boarded 420696 429190 445271 449184 457286 460277 480555 502960 514170 523081 543344 477970 467205 485797 522308 516553 552445 571661Denied boardingb total 628 646 764 683 824 842 957 1071 1136 1070 1120 900 837 769 747 597 674 686

Voluntary 561 599 718 632 771 794 899 1018 1091 1024 1062 861 803 727 702 552 619 622Involuntary 67 47 46 51 53 49 58 54 45 46 57 39 34 42 45 45 55 64

Percent denied boarding 015 015 017 015 018 018 020 021 022 020 021 019 018 016 014 012 012 012a Data include nonstop scheduled service between points within the United States (including territories) by US air carriers with at least 1 of the total domestic scheduled service passenger revenues and operate aircraft with a passenger capacity of more than 60 seats In 2007 the air carriers were Jetblue Airtran Hawaiin Aloha United Alaska American Northwest Frontier Southwest US Airways American Eagle Continental Mesa Skywest Delta Comair Atlantic Southeast Pinnacle Before 1994 carriers included both majors and national airlines ie airlines with over $100 million in revenue b Number of passengers who hold confirmed reservations and are denied boarding (bumped) from a flight because it is oversold These figures include only passengers whose oversold flight departs without them they do not include passengers affected by canceled delayed or diverted flights

SOURCE

US Department of Transportation Office of the Secretary Air Travel Consumer Report (Washington DC Annual February issues) p 39 Internet website httpairconsumerostdotgovreports as of Feb 13 2008

Table 1-59 Mishandled-Baggage Reports Filed by Passengers with the Largest US Air Carriersa

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total mishandled-baggage reports (millions) 266 220 245 228 232 228 246 228 248 254 274 214 181 220 282 294 408 442Enplaned passengers (domestic) (millions) 3957 4085 4170 4075 4357 4398 4640 4598 4817 4991 5175 4679 4714 5245 5754 4420 6066 6288Reports per 1000 passengers 673 538 587 560 533 518 530 496 516 508 529 458 384 419 491 664 673 703

a Data include nonstop scheduled service between points within the United States (including territories) by US air carriers with at least 1 of the total domestic scheduled service passenger revenues and those carriers that report voluntarily In 2007 the air carriers were Airtran Alaska Aloha American American Eagle Atlantic Southeast Comair Continental Delta ExpressJet Frontier Hawaiian JetBlue Mesa Northwest Pinnace Skywest Southwest United and US Airways

NOTESDomestic system only

Based on passenger reports of mishandled-baggage including those that did not subsequently result in claims for compensation

SOURCE

US Department of Transportation Office of the Secretary Air Travel Consumer Report (Washington DC Annual February issues) p 30 Internet website httpairconsumerostdotgovreports as of Mar 18 2008

Table 1-60 Flight Operations Arriving On Time by the Largest US Air Carriersa

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007On-time flight operations (percent) 794 825 823 816 815 786 745 777 772 761 726 774 821 820 781 774 754 734

a Data include nonstop scheduled service between points within the United States (including territories) by US air carriers with at least 1 of the total domestic scheduled service passenger revenues and those carriers that report voluntarily In 2007 the air carriers were Airtran Alaska Aloha American American Eagle Atlantic Southeast Comair Continental Delta ExpressJet Frontier Hawaiian JetBlue Mesa Northwest Pinnace Skywest Southwest United and US Airways

NOTE

A flight is considered on time if it arrived less than 15 minutes after the scheduled time shown in the carriers Computerized Reservations Systems Canceled and diverted operations are counted as late

SOURCEUS Department of Transportation Office of the Secretary Air Travel Consumer Report (Washington DC Annual February issues) table 1a Internet website httpairconsumerostdotgovreports as of Mar 18 2008

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Operations delayed (thousands) 356 338 394 393 298 281 276 248 237 272 245 306 374 450 348 286 317 455 438 492 541Cause (percent)Weather 67 70 57 56 65 65 72 75 72 74 68 74 69 69 72 72 72 70 69 66 65Airport terminal volume 11 9 29 33 26 25 21 18 17 17 20 13 8 11 9 9 7 10 11 13 15Air Route Traffic Control Center volume 13 12 8 2 1 2 1 1 1 2 2 2 4 3 3 5 4 5 4 3 4Closed runways taxiways 4 5 3 3 3 3 3 2 3 3 3 3 5 6 5 4 7 6 10 14 12National Airspace System equipment 4 3 2 1 2 2 2 2 3 2 3 2 2 2 2 1 1 1 1 1 1Other 1 1 1 4 3 3 2 2 4 2 4 6 13 9 10 9 9 8 5 3 3

NOTE

SOURCES

Table 1-61 FAA-Cited Causes of Departure and En Route Delays (After pushing back from the gate)

2000-07 Ibid Operations Network (OPSNET) database query Internet site httpwwwapodatafaagov as of Jun 16 2008

Numbers may not add to totals due to rounding

KEY FAA = Federal Aviation Administration

1998-99 US Department of Transportation Federal Aviation Administration Internet site httpwwwfaagovapaDelaysatDelayshtm as of Aug 8 2002

1987-97 US Department of Transportation Federal Aviation Administration Aviation Capacity Enhancement Plan (Washington DC Annual issues)

1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total operations 5202096 5041200 5270893 5076925 5092157 5070501 5180048 5327435 5351983 5411843 5384721 5527884 5683047 5967780 5271359 6488540 7129270 7140596 7141922 7453215Late departuresa 730712 883167 753182 621509 617148 661056 729960 827934 973948 846870 870395 937273 1131663 953808 717368 834390 1187594 1279404 1424777 1572335

Percent of total 140 175 143 122 121 130 141 155 182 156 162 170 199 160 136 129 167 179 199 211Late arrivalsb 1042452 1208470 1087774 890068 902567 931437 960254 1039250 1220045 1083834 1070071 1152725 1356040 1104439 868225 1057804 1421391 1466065 1615537 1803320

Percent of total 200 240 206 175 177 184 185 195 228 200 199 209 239 185 165 163 199 205 226 242Cancellations 50163 74165 52458 43505 52836 59845 66740 91905 128536 97763 144509 154311 187490 231198 65143 101469 127757 133730 121934 160748

Percent of total 10 15 10 09 10 12 13 17 24 18 27 28 33 39 12 16 18 19 17 22Diversions 14436 14839 15954 12585 11384 10333 12106 10492 14121 12081 13161 13555 14254 12909 8356 11381 13784 14028 16186 17179

Percent of total 03 03 03 02 02 02 02 02 03 02 02 02 03 02 02 02 02 02 02 02

Table 1-62 Major US Air Carrier Delays Cancellations and Diversions

SOURCES

NOTES

1995-2007 Ibid Airline On-Time Tables Table 1 - Summary of Airline On-Time Performance Year-to-date through December 2007available at httpwwwbtsgovprogramsairline_informationairline_ontime_tables as of December 2008

Late departures and arrivals are strongly seasonal and are affected by weather and heavy demand in winter and summer months The term late is defined as 15 minutes after the scheduled departure or arrival time A canceled flight is one that was not operated but was listed in a carriers computer reservation system within seven calendar days of the scheduled departure A diverted flight is one that left from the scheduled departure airport but flew to a destination point other than the scheduled destination point During 2005-2007 20 air carriers reported on-time performance data including all major US carriers (carriers with at least one percent of total domestic scheduled-service passenger revenues) and other carriers that reported voluntarily The number of carriers reporting in previous years is as follows 2004 (19) 2003 (18) 2002 (10) 2001 (12) 2000 (11) 1999 (10) 1998 (10) 1997 (10) 1996 (10) and 1995 (10)

1988-94 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Airline Service Quality Performance data

a Prior to 1995 late departures comprises flights departing 15 minutes or more after the scheduled time and flights cancelled Beginning in 1995 late departures is only flights departing 15 minutes or more after the scheduled departure timeb Prior to 1995 late arrivals comprises flights arriving 15 minutes or more after the scheduled arrival time flights cancelled and flights diverted Beginning in 1995 late arrivals is only flights arriving 15 minutes or more after the scheduled arrival time

Percent Rank Percent Rank

Medium Akron OH 1 1 3 3 4 (R) 4 5 4 6 8 9 9 8 (R) 7 6 6 -33 82 500 29

Medium Albany-Schenectady-Troy NY (R) 1 1 4 3 4 4 4 4 4 4 5 6 6 6 6 7 40 12 600 20

Medium Albuquerque NM 2 4 8 8 10 11 14 18 20 23 25 (R) 24 (R) 18 (R) 17 15 16 -36 85 700 15

Medium Allentown-Bethlehem PA-NJ 3 4 6 6 6 7 7 7 (R) 8 8 8 (R) 8 (R) 8 (R) 9 (R) 9 9 13 48 200 70

Small Anchorage AK 2 3 3 3 2 2 2 2 2 2 2 2 2 2 3 3 50 10 50 83

Very large Atlanta GA 6 10 11 11 12 17 23 26 30 31 33 29 31 (R) 31 32 34 3 58 467 39

Medium Austin TX 4 8 9 11 9 11 14 17 20 24 20 24 25 26 26 27 35 19 575 24

Small Bakersfield CA 1 1 2 2 3 2 2 3 3 3 3 3 4 4 4 4 33 20 300 59

Large Baltimore MD 4 6 15 15 13 14 16 17 18 19 18 18 19 21 26 27 50 10 575 24

Small Beaumont TX 2 3 3 3 3 4 3 3 3 4 6 6 6 6 8 8 33 20 300 59

Medium Birmingham AL 3 4 5 5 5 6 8 9 10 11 13 13 13 13 14 14 8 55 367 52

Very large Boston MA-NH-RI (R) 6 (R) 10 (R) 15 (R) 16 19 (R) 18 (R) 18 (R) 16 (R) 17 (R) 19 (R) 20 (R) 19 (R) 20 (R) 21 (R) 24 25 25 33 317 58

Small Boulder CO 1 2 2 2 2 3 3 3 3 4 4 4 5 5 5 5 25 33 400 44

Medium Bridgeport-Stamford CT-NY 2 4 (R) 6 6 8 8 9 10 10 11 13 16 16 16 (R) 18 17 31 26 750 13

Small Brownsville TX 1 1 1 1 1 1 2 2 2 2 2 3 3 3 3 2 0 60 100 78

Large Buffalo NY 1 1 2 2 2 2 2 2 2 3 3 4 5 5 5 6 100 1 500 29

Small Cape Coral FL 1 2 3 4 4 5 5 6 6 7 7 7 7 7 8 8 14 46 700 15

Small Charleston-North Charleston SC 5 6 10 10 11 10 9 9 9 10 11 12 12 11 12 14 27 31 180 72

Medium Charlotte NC-SC 4 7 11 12 14 13 12 12 14 17 18 19 21 21 24 23 28 30 475 38

Very large Chicago IL-IN 6 11 17 18 18 18 17 20 26 24 26 26 25 26 29 31 19 41 417 43

Large Cincinnati OH-KY-IN 2 3 7 7 8 9 12 (R) 11 (R) 13 (R) 16 (R) 15 (R) 15 (R) 16 (R) 16 (R) 17 17 13 47 750 13

Large Cleveland OH 1 1 3 3 4 5 6 9 10 12 9 10 8 7 6 6 -33 82 500 29

Small Colorado Springs CO 1 2 2 2 3 4 4 6 6 8 (R) 11 (R) 13 (R) 15 (R) 16 (R) 15 14 27 31 1300 4

Small Columbia SC 1 2 3 3 3 3 3 3 3 3 3 4 (R) 4 4 4 5 67 8 400 44

Large Columbus OH 2 2 8 8 10 11 (R) 13 (R) 14 (R) 16 19 (R) 18 (R) 19 (R) 16 (R) 15 15 16 -11 79 700 15

Small Corpus Christi TX 2 2 2 3 3 2 2 2 2 2 2 3 3 4 3 4 100 1 100 78

Very large Dallas-Fort Worth-Arlington TX 6 12 17 18 21 23 22 24 23 24 27 (R) 33 (R) 33 (R) 34 (R) 35 35 30 29 483 36

Medium Dayton OH 1 2 3 4 4 5 (R) 5 (R) 8 (R) 9 (R) 10 (R) 9 (R) 10 (R) 9 (R) 8 (R) 7 6 -33 82 500 29

Large Denver-Aurora CO 7 8 12 13 15 18 19 23 26 29 32 32 34 35 (R) 31 31 -3 72 343 54

Very large Detroit MI 7 7 20 21 28 (R) 33 28 26 26 27 27 26 24 26 27 30 11 50 329 56

Medium El Paso TX-NM 1 1 2 3 4 4 5 5 4 5 5 8 9 11 10 10 100 1 900 6

Small Eugene OR 1 1 2 2 2 3 2 2 3 3 4 5 6 5 5 5 25 33 400 44

Medium Fresno CA 3 3 7 7 7 5 5 5 6 7 8 10 10 8 8 7 -13 80 133 77

Medium Grand Rapids MI 2 2 4 5 6 8 8 7 8 (R) 9 11 11 10 (R) 9 (R) 10 10 -9 75 400 44

Medium Hartford CT (R) 2 2 3 4 6 5 5 5 (R) 5 (R) 7 8 8 8 9 9 8 0 60 300 59

Medium Honolulu HI 4 6 13 13 14 13 13 14 13 12 12 13 10 11 10 11 -8 74 175 74

Table 1-63 Annual Person-Hours of Highway Traffic Delay Per Person

Percent changea

Long-term

1982-2003

Short-term

1998-2003

Population

group Urban area 1982 1985 1990 1991 1992 1993 1994 1995 1996 20032001 20021997 1998 1999 2000

Percent Rank Percent Rank

Table 1-63 Annual Person-Hours of Highway Traffic Delay Per Person

Percent changea

Long-term

1982-2003

Short-term

1998-2003

Population

group Urban area 1982 1985 1990 1991 1992 1993 1994 1995 1996 20032001 20021997 1998 1999 2000

Very large Houston TX 19 33 23 17 17 (R) 20 (R) 23 25 (R) 27 (R) 31 29 35 31 (R) 34 (R) 37 36 24 38 89 82

Large Indianapolis IN 2 2 4 5 7 13 17 19 22 24 19 19 20 21 20 21 11 53 950 5

Medium Jacksonville FL 3 4 10 10 13 13 14 18 17 18 15 15 14 15 17 18 20 40 500 29

Large Kansas City MO-KS 1 2 3 3 4 6 8 6 8 9 9 11 9 9 8 9 0 60 800 10

Small Laredo TX 1 1 1 1 1 1 1 2 2 3 3 4 3 4 4 4 33 20 300 59

Large Las Vegas NV 3 5 12 13 11 10 13 13 14 16 16 17 17 15 (R) 16 16 0 60 433 42

Small Little Rock AR 1 1 2 2 2 3 3 3 3 (R) 3 5 (R) 5 5 6 5 5 0 60 400 44

Very large Los Angeles-Long Beach-Santa Ana CA 19 24 53 51 51 51 46 49 54 52 56 55 (R) 53 (R) 51 (R) 52 50 -11 78 163 75

Medium Louisville KY-IN 4 5 5 7 9 12 14 13 17 19 19 21 20 (R) 19 (R) 21 22 16 44 450 40

Medium Memphis TN-MS-AR 1 2 5 6 7 7 9 11 11 13 13 13 (R) 15 16 (R) 17 18 38 15 1700 2

Very large Miami FL 5 6 13 14 18 18 19 19 21 22 22 24 26 27 29 29 32 25 480 37

Large Milwaukee WI 2 3 5 6 7 9 9 (R) 12 12 12 13 (R) 14 14 13 (R) 13 13 0 60 550 27

Large Minneapolis-St Paul MN 1 4 8 9 11 14 15 17 17 23 23 26 (R) 22 (R) 24 (R) 23 23 0 60 2200 1

Medium Nashville-Davidson TN 6 7 9 8 7 10 12 14 (R) 16 18 16 (R) 18 20 (R) 18 (R) 21 20 25 33 233 66

Medium New Haven CT 2 2 (R) 3 4 5 5 5 5 4 6 9 11 12 (R) 13 (R) 12 11 22 39 450 40

Large New Orleans LA 4 5 6 8 7 7 12 11 11 11 11 11 10 10 9 10 -9 75 150 76

Very large New York-Newark NY-NJ-CT 6 7 18 (R) 14 13 14 16 18 18 20 21 23 21 22 23 23 10 54 283 63

Large Oklahoma City OK 1 2 2 3 3 3 3 4 5 6 6 8 6 6 7 7 17 43 600 20

Medium Omaha NE-IA 2 3 5 5 6 6 8 8 9 9 10 11 (R) 11 12 12 13 30 27 550 27

Large Orlando FL 5 9 11 16 17 19 19 19 21 24 27 26 (R) 30 (R) 31 (R) 30 30 11 50 500 29

Medium Oxnard-Ventura CA 2 5 8 7 7 7 10 11 12 10 (R) 11 12 15 17 17 18 64 9 800 10

Small Pensacola FL-AL 1 2 6 7 7 8 8 8 8 9 9 10 11 10 10 10 11 50 900 6

Very large Philadelphia PA-NJ-DE-MD 5 6 9 12 13 11 12 (R) 15 (R) 15 15 (R) 20 21 18 21 22 21 5 56 320 57

Very large Phoenix AZ 7 8 15 17 19 19 19 16 21 23 20 25 24 (R) 26 (R) 25 26 30 27 271 64

Large Pittsburgh PA 4 5 7 7 7 6 6 7 7 8 8 9 7 7 7 8 0 60 100 78

Large Portland OR-WA 3 3 8 9 11 14 14 16 18 19 20 21 20 (R) 21 (R) 21 20 0 60 567 26

Large Providence RI-MA 2 3 6 6 7 8 8 9 10 (R) 9 10 (R) 12 (R) 12 12 17 18 80 5 800 10

Medium Raleigh-Durham NC 3 5 (R) 8 7 9 10 11 11 11 12 (R) 11 11 12 16 14 15 36 18 400 44

Medium Richmond VA 2 2 4 5 6 6 8 12 (R) 13 (R) 11 (R) 10 10 7 7 8 9 -10 77 350 53

Large Riverside-San Bernardino CA 4 7 20 23 25 24 20 22 24 25 29 28 (R) 28 (R) 28 (R) 29 30 3 57 650 19

Medium Rochester NY 0 1 2 1 2 2 2 3 3 3 3 4 3 3 3 4 33 20 NM NM

Large Sacramento CA 5 7 14 14 13 13 16 14 17 15 (R) 16 (R) 17 (R) 18 (R) 20 (R) 21 22 38 17 340 55

Percent Rank Percent Rank

Table 1-63 Annual Person-Hours of Highway Traffic Delay Per Person

Percent changea

Long-term

1982-2003

Short-term

1998-2003

Population

group Urban area 1982 1985 1990 1991 1992 1993 1994 1995 1996 20032001 20021997 1998 1999 2000

Small Salem OR 1 1 3 4 4 4 5 4 5 6 6 6 6 (R) 7 8 8 33 20 700 15

Medium Salt Lake City UT 1 2 4 5 6 7 9 9 8 7 8 9 10 14 (R) 16 16 100 1 1500 3

Large San Antonio TX 3 7 6 6 7 6 5 10 10 10 13 19 21 19 19 18 38 15 500 29

Large San Diego CA 3 6 16 14 14 13 14 14 14 17 16 20 20 (R) 22 (R) 27 28 75 6 833 9

Very large San Francisco-Oakland CA 12 24 36 28 26 28 24 31 31 28 32 34 (R) 36 (R) 37 (R) 38 37 16 45 208 69

Large San Jose CA 10 21 43 35 26 25 24 26 25 23 26 31 (R) 32 32 29 29 12 49 190 71

Medium Sarasota-Bradenton FL 5 5 5 6 6 7 7 6 8 8 8 10 9 9 (R) 10 10 25 33 100 78

Large Seattle WA 5 9 22 24 (R) 25 25 25 (R) 27 29 (R) 30 (R) 30 (R) 30 (R) 26 25 (R) 26 25 -17 81 400 44

Small Spokane WA 1 2 2 3 3 5 6 4 4 5 5 6 5 5 5 5 0 60 400 44

Medium Springfield MA-CT 3 3 4 3 4 (R) 3 3 4 4 4 4 4 5 4 5 4 0 60 33 84

Large St Louis MO-IL 6 8 9 9 11 15 16 18 18 20 (R) 20 (R) 21 (R) 22 (R) 19 (R) 21 19 -5 73 217 67

Large Tampa-St Petersburg FL 8 9 14 17 18 20 23 23 22 21 21 22 20 23 23 25 19 42 213 68

Medium Toledo OH-MI 1 1 2 2 2 2 3 4 4 5 5 6 (R) 7 7 7 7 40 12 600 20

Medium Tucson AZ 2 2 5 6 6 7 8 8 8 11 (R) 11 (R) 11 11 13 (R) 16 19 73 7 850 8

Medium Tulsa OK 1 2 3 3 3 3 2 3 4 5 (R) 5 6 (R) 7 7 7 7 40 12 600 20

Large Virginia Beach VA 5 7 9 8 9 8 10 11 12 12 14 14 10 12 (R) 14 14 0 60 180 72

Very large Washington DC-VA-MD 10 14 21 22 24 (R) 25 26 28 (R) 30 (R) 29 (R) 33 (R) 34 (R) 31 (R) 32 33 34 3 58 240 65

NA 85-Area Average (R) 6 9 17 16 17 18 18 20 21 22 23 (R) 24 (R) 23 (R) 24 (R) 25 25 9 NA 317 NA

NA Very Large Area Average 9 13 (R) 24 (R) 22 24 (R) 24 24 26 28 28 (R) 30 (R) 31 (R) 30 (R) 30 (R) 32 32 7 NA 256 NA

NA Large Area Average 4 6 (R) 11 12 (R) 12 (R) 13 (R) 14 (R) 15 (R) 16 (R) 18 (R) 18 (R) 19 (R) 19 (R) 19 20 18 0 NA 350 NA

NA Medium Area Average 2 3 (R) 5 6 7 7 8 9 10 11 11 12 (R) 12 (R) 12 (R) 13 13 18 NA 550 NA

NA Small Area Average 2 2 (R) 3 4 4 4 4 (R) 4 (R) 4 5 6 6 (R) 7 (R) 7 7 7 17 NA 289 NA

The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobility

SOURCETexas Transportation Institute The 2005 Annual Urban Mobility Report (College Station TX 2005) Internet site httpmobilitytamuedu as of June 7 2005

NOTE

Small urban areas ndash less than 500000 population

KEY NA = not applicable NM = not meaningful R = revisedVery large urban areas ndash over 3 million populationLarge urban areas ndash over 1 million and less than 3 million populationMedium urban areas ndash over 500000 and less than 1 million population

a Percent changes were calculated using the numbers in this table and were not obtained from the source Rank is based on the calculated percent change with the highest number corresponding to a rank of 1

Points RankaPoints Ranka

19981995 1996 1997 19991994

Points change

2000 2001 2002

Long-term

1982-2003

Short-term

1998-2003

Table 1-64 Travel Time Index

Population

group Urban area 1982 1985 1990 1991 20031992 1993

Large Minneapolis-St Paul MN 103 106 112 112 114 116 120 122 123 130 132 135 132 134 134 134 2 42 31 11

Medium Nashville-Davidson TN 107 108 109 108 108 109 112 113 114 116 115 (R) 117 118 (R) 117 119 118 3 32 11 52

Medium New Haven CT 103 (R) 103 (R) 105 (R) 105 107 108 109 109 107 109 112 113 114 (R) 115 114 113 1 54 10 54

Large New Orleans LA 110 114 116 119 118 116 120 120 120 119 119 120 118 117 118 119 0 63 9 56

Very large New York-Newark NY-NJ-CT 113 116 131 128 127 128 131 133 134 136 136 140 138 138 140 139 3 32 26 17

Large Oklahoma City OK 102 103 103 104 104 104 104 106 107 109 109 111 109 110 111 110 1 54 8 62

Medium Omaha NE-IA 104 106 109 110 111 110 112 112 114 113 114 115 115 116 117 118 4 25 14 39

Large Orlando FL 109 115 116 119 119 121 120 121 122 124 127 127 128 (R) 130 (R) 131 130 3 32 21 26

Medium Oxnard-Ventura CA 104 107 110 109 110 110 114 115 116 114 (R) 115 119 119 121 (R) 121 123 8 11 19 28

Small Pensacola FL-AL 103 104 108 109 109 111 110 111 110 112 112 112 114 112 112 112 0 63 9 56

Very large Philadelphia PA-NJ-DE-MD 113 114 119 120 122 120 121 (R) 124 (R) 127 (R) 127 133 (R) 133 (R) 131 135 135 132 -1 70 19 28

Very large Phoenix AZ 113 115 122 124 127 127 128 124 130 133 131 138 138 140 135 135 4 25 22 25

Large Pittsburgh PA 108 109 110 109 109 109 109 110 110 110 111 112 110 110 110 110 -1 70 2 82

Large Portland OR-WA 105 107 116 117 120 124 125 128 131 135 134 137 137 139 138 137 3 32 32 9

Large Providence RI-MA 105 106 110 110 110 111 111 112 114 (R) 112 113 114 115 (R) 115 (R) 118 119 6 16 14 39

Medium Raleigh-Durham NC 105 107 (R) 111 109 (R) 111 112 113 114 113 115 115 (R) 114 116 119 118 119 4 25 14 39

Medium Richmond VA 103 103 105 106 106 107 108 111 111 (R) 109 109 109 107 107 108 109 0 63 6 70

Large Riverside-San Bernardino CA 104 108 124 127 129 127 123 126 128 127 131 133 133 132 (R) 134 137 6 16 33 5

Medium Rochester NY 101 102 103 104 104 104 104 105 105 106 105 106 106 106 106 107 2 42 6 70

Large Sacramento CA 107 109 120 120 118 119 122 121 124 123 (R) 125 (R) 127 (R) 129 (R) 132 (R) 134 137 12 2 30 13

Small Salem OR 102 102 104 105 105 106 107 106 107 107 108 108 108 109 111 111 3 32 9 56

Medium Salt Lake City UT 103 105 108 110 113 113 115 117 117 115 116 117 118 (R) 123 (R) 126 128 12 2 25 19

Large San Antonio TX 105 108 107 107 108 107 108 112 112 113 116 122 124 122 123 122 6 16 17 33

Large San Diego CA 106 109 124 122 123 122 122 122 123 125 126 132 132 132 (R) 140 141 15 1 35 4

Very large San Francisco-Oakland CA 121 136 150 142 141 144 140 145 145 142 147 149 154 154 155 154 7 14 33 5

Large San Jose CA 118 130 144 141 134 134 133 134 133 130 134 139 142 143 139 137 3 32 19 28

Medium Sarasota-Bradenton FL 112 112 114 116 116 118 119 (R) 116 119 119 120 124 122 122 125 125 5 20 13 46

Large Seattle WA 107 113 129 133 (R) 135 135 134 136 136 140 139 (R) 140 135 135 (R) 136 138 -1 70 31 11

Small Spokane WA 102 103 104 104 105 108 108 106 106 107 108 108 108 107 107 108 0 63 6 70

Medium Springfield MA-CT 105 105 106 106 106 106 105 106 106 106 106 107 107 106 107 106 0 63 1 84

Large St Louis MO-IL 109 112 112 112 114 118 119 121 121 124 (R) 124 (R) 125 125 (R) 123 124 122 -2 76 13 46

Large Tampa-St Petersburg FL 119 121 126 129 129 130 132 132 131 129 128 129 127 131 131 133 5 20 14 39

Medium Toledo OH-MI 102 102 103 103 103 104 105 106 106 (R) 107 108 109 110 111 111 110 2 42 8 62

Medium Tucson AZ 106 106 111 113 113 114 115 115 115 119 (R) 120 (R) 120 119 (R) 122 (R) 128 131 11 6 25 19

Medium Tulsa OK 102 103 105 105 105 105 105 106 107 108 (R) 108 109 (R) 110 (R) 110 (R) 110 110 2 42 8 62

Large Virginia Beach VA 108 111 114 114 114 113 115 116 118 118 119 119 116 118 (R) 120 121 2 42 13 46

Very large Washington DC-VA-MD 118 123 133 135 137 138 137 140 144 143 146 147 144 146 150 151 5 20 33 5

NA 85-Area Average 112 116 128 127 128 128 127 129 131 132 134 135 134 135 137 137 3 NA 25 NA

NA Very Large Area Average (R) 118 (R) 123 (R) 140 (R) 139 (R) 139 (R) 138 (R) 137 140 (R) 143 (R) 143 (R) 146 (R) 146 (R) 145 (R) 147 (R) 149 148 2 NA 30 NA

NA Large Area Average 107 110 117 118 (R) 118 (R) 119 (R) 120 (R) 121 (R) 123 (R) 124 (R) 125 (R) 126 (R) 126 (R) 127 (R) 128 128 3 NA 21 NA

NA Medium Area Average 105 106 109 (R) 109 110 111 112 113 114 115 115 116 116 117 118 118 3 NA 13 NA

NA Small Area Average (R) 103 104 (R) 105 106 (R) 106 (R) 106 (R) 106 107 (R) 107 108 (R) 108 (R) 109 110 110 110 110 2 NA 7 NAKEY NA = not applicable R = revised

Very large urban areas ndash over 3 million populationLarge urban areas ndash over 1 million and less than 3 million population

a Rank is based on the calculated point change with the highest number corresponding to a rank of 1

Medium urban areas ndash over 500000 and less than 1 million populationSmall urban areas ndash less than 500000 population

Points RankaPoints Ranka

19981995 1996 1997 19991994

Points change

2000 2001 2002

Long-term

1982-2003

Short-term

1998-2003

Table 1-64 Travel Time Index

Population

group Urban area 1982 1985 1990 1991 20031992 1993

Texas Transportation Institute The 2005 Annual Urban Mobility Report (College Station TX 2005) Internet site httpmobilitytamuedu as of June 10 2005

SOURCE

NOTEThe Travel Time Index (TTI) is the ratio of peak period travel time to free flow travel time The TTI expresses the average amount of extra time it takes to travel in the peak relative to free-flow travel A TTI of 13 for example indicates a 20-minute free-flow trip will take 26 minutes during the peak travel time periods a 6-minute (30 percent) travel time penalty

Points Ranka Points Ranka

Medium Akron OH 050 054 068 069 071 076 079 078 081 084 085 085 086 085 085 086 089 087 1 62 37 29Medium Albany-Schenectady NY 042 045 057 058 062 063 064 064 067 069 070 071 073 075 076 078 081 081 8 15 39 22Medium Albuquerque NM 065 071 085 086 089 093 096 099 104 106 108 105 102 100 097 095 097 099 -3 78 34 38Medium Allentown-Bethlehem PA-NJ 064 068 076 078 083 087 090 092 096 098 098 098 097 095 093 092 095 095 -2 74 31 48Small Anchorage AK 075 075 072 072 071 070 072 071 070 070 071 072 073 075 076 076 076 076 3 48 1 85Very large Atlanta GA 083 093 102 104 106 111 118 121 125 129 131 135 136 135 135 136 136 134 -2 74 51 9Medium Austin TX 074 081 090 090 088 088 090 093 098 100 103 106 111 115 114 114 114 116 5 38 42 18Small Bakersfield CA 050 057 065 067 069 068 070 071 072 074 077 078 075 076 078 078 081 083 8 19 33 42Large Baltimore MD 075 081 095 096 096 097 099 102 102 103 104 105 109 112 118 120 120 121 12 9 46 15Small Beaumont TX 056 057 061 063 064 064 064 065 068 068 068 070 071 073 075 075 076 078 7 22 22 72Medium Birmingham AL 059 065 074 075 075 077 080 082 085 088 091 093 094 094 095 097 098 100 6 26 41 19Very large Boston MA-NH-RI 081 090 105 105 106 105 105 106 107 108 110 111 111 111 110 110 111 111 0 66 30 51Small Boulder CO 073 075 079 082 084 085 087 088 088 090 088 090 091 090 092 091 091 090 -1 70 17 78Medium Bridgeport-Stamford CT-NY 080 091 098 095 098 098 098 101 101 103 106 107 109 112 115 114 116 117 8 20 37 32Small Brownsville TX 053 053 062 062 064 067 066 069 071 071 074 078 081 081 083 082 084 078 -3 78 25 65Large Buffalo NY 048 050 056 057 059 060 062 062 062 065 067 069 071 071 071 073 073 073 2 53 25 65Small Cape Coral FL 094 092 087 087 090 098 106 114 115 111 114 113 111 111 115 119 123 123 12 9 29 56Small Charleston-North Charleston SC 085 089 094 095 098 099 102 101 100 101 104 104 105 103 105 108 108 108 3 48 23 70Medium Charlotte NC-SC 078 089 091 091 090 087 086 086 093 100 099 103 107 108 110 109 110 111 4 39 33 40Very large Chicago IL-IN 081 089 103 104 102 101 103 108 114 113 117 117 118 120 123 124 128 128 10 12 47 13Large Cincinnati OH-KY-IN 066 074 088 087 087 092 097 097 100 106 107 106 107 104 106 106 104 106 -1 70 40 20Large Cleveland OH 073 069 083 084 085 088 089 090 091 093 094 095 094 091 089 089 091 090 -4 81 17 78Small Colorado Springs CO 050 056 061 060 062 064 066 070 072 077 080 083 086 088 087 085 081 088 2 53 38 26Small Columbia SC 057 065 073 073 074 074 075 077 077 079 081 084 087 088 088 089 089 090 3 48 33 40Large Columbus OH 060 068 086 087 089 093 095 098 102 104 104 103 102 107 107 108 110 109 7 22 49 10Small Corpus Christi TX 055 063 068 067 066 064 065 065 067 071 071 071 070 071 071 072 075 075 5 32 20 75Very large Dallas -Fort Worth-Arlington TX 071 082 095 096 096 096 096 096 097 102 104 107 111 113 113 118 120 126 15 3 55 6Medium Dayton OH 080 079 085 085 084 088 082 089 090 091 091 090 089 089 089 090 095 093 4 39 13 81Large Denver-Aurora CO 082 083 089 091 092 095 098 103 107 109 113 116 117 117 115 116 113 118 1 62 36 33Very large Detroit MI 091 096 106 108 112 113 112 113 115 115 116 117 119 121 122 123 123 124 5 32 33 42Medium El Paso TX-NM 060 066 071 076 080 081 083 083 083 084 087 091 094 097 099 101 105 107 13 6 47 12Small Eugene OR 069 070 075 075 075 079 078 080 082 083 085 088 091 088 088 092 092 093 2 53 24 67Medium Fresno CA 068 073 080 081 082 083 082 084 086 087 090 091 094 091 092 091 091 094 0 66 26 64Medium Grand Rapids MI 056 061 071 074 080 086 085 084 084 086 088 087 086 086 085 084 084 085 -1 70 29 58

Urban areaPopulation

group 1991 2004 200519991995 19981994 20001997199619931992199019851982

Table 1-65 Annual Roadway Congestion IndexPoints change

Long-term 1982-2005

Short-term 2000-2005

200320022001

Points Ranka Points RankaUrban areaPopulation

group 1991 2004 200519991995 19981994 20001997199619931992199019851982

Table 1-65 Annual Roadway Congestion IndexPoints change

Long-term 1982-2005

Short-term 2000-2005

200320022001Medium Hartford CT 058 063 070 073 087 078 079 081 082 084 086 089 092 092 093 093 094 095 3 52 37 29Medium Honolulu HI 082 088 104 104 106 106 108 108 108 106 106 106 104 104 104 106 107 108 4 39 26 62Very large Houston TX 099 105 100 096 095 097 099 102 104 107 110 114 113 121 128 129 125 127 14 4 28 59Large Indianapolis IN 080 083 094 097 102 105 111 117 117 120 117 117 118 119 118 118 118 116 -2 74 36 35Medium Jacksonville FL 079 083 094 094 095 095 097 098 101 100 100 100 102 101 103 106 109 110 8 15 31 46Large Kansas City MO-KS 053 064 074 074 076 080 081 082 083 081 081 082 082 082 082 081 079 080 -2 73 27 61Small Laredo TX 041 045 047 050 051 052 054 058 064 063 063 067 066 071 071 074 074 076 10 14 35 36Large Las Vegas NV 069 066 094 097 102 109 109 110 111 108 109 114 118 116 120 124 128 131 13 6 62 3Small Little Rock AR 054 060 070 073 071 072 075 077 079 079 082 085 083 086 082 083 087 088 5 32 34 38Very large Los Angeles-Long Beach-Santa Ana CA 121 125 157 156 154 152 149 151 154 153 153 153 154 154 155 155 158 158 4 39 37 28Medium Louisville KY-IN 083 082 083 089 094 098 101 102 104 107 109 110 110 109 112 114 116 114 4 47 31 48Medium Memphis TN-MS-AR 074 069 082 081 083 085 088 090 091 090 091 092 093 095 096 097 097 095 2 61 21 73Very Large Miami FL 076 082 099 100 104 106 109 113 114 117 121 126 133 134 136 138 138 139 6 31 63 2Large Milwaukee WI 065 075 089 090 090 088 088 091 094 095 096 099 100 098 096 097 098 095 -5 82 30 54Large Minneapolis-St Paul MN 065 073 085 087 090 093 100 102 103 108 111 114 116 119 117 118 116 117 1 62 52 8Medium Nashville-Davidson TN 082 080 085 084 085 084 090 092 091 093 092 093 095 097 098 101 102 101 6 26 19 76Medium New Haven CT 063 068 080 079 083 083 081 081 081 085 088 092 094 097 100 099 098 100 6 26 37 29Large New Orleans LA 086 091 089 089 089 088 093 094 091 092 096 096 094 093 094 094 095 096 2 53 10 83Very large New York-Newark NY-NJ-CT 073 080 091 090 090 092 093 095 097 101 102 105 106 106 108 113 114 113 7 25 40 21Large Oklahoma City OK 063 069 070 072 073 077 077 081 083 085 086 088 087 089 089 089 089 089 2 53 26 63Medium Omaha NE-IA 061 066 075 075 080 080 080 081 084 083 085 087 089 091 094 094 093 093 4 39 32 44Large Orlando FL 072 083 096 099 098 096 098 100 103 107 110 112 116 122 120 120 120 120 4 39 48 11Medium Oxnard-Ventura CA 083 097 115 113 114 115 120 120 121 120 120 122 122 126 126 126 126 126 4 39 43 16Small Pensacola FL-AL 071 074 086 083 088 091 092 097 099 103 099 100 101 099 102 105 107 109 8 15 38 25Very large Philadelphia PA-NJ-DE-MD 083 085 095 092 094 092 094 095 095 099 101 103 104 107 109 109 110 112 8 15 29 55Very large Phoenix AZ 103 102 101 100 103 104 103 107 111 110 114 119 125 126 123 125 130 132 7 22 29 56Large Pittsburgh PA 067 069 076 075 074 073 073 075 075 075 076 077 077 078 079 080 080 079 2 53 12 82Large Portland OR-WA 087 089 100 101 103 105 107 111 115 118 118 120 121 120 120 120 122 123 2 53 36 33Large Providence RI-MA 055 054 070 070 070 072 073 075 077 078 085 087 088 091 091 093 094 094 6 30 39 23Medium Raleigh-Durham NC 063 075 085 085 087 086 088 092 092 095 094 094 096 096 098 097 099 101 5 32 38 26Medium Richmond VA 061 058 075 078 081 079 084 086 084 080 077 075 077 077 079 081 082 082 5 36 21 73Large Riverside-San Bernardino CA 076 089 114 117 116 114 111 116 117 115 119 124 126 129 136 143 145 144 18 1 68 1Medium Rochester NY 048 052 063 064 066 066 068 071 071 070 070 072 074 073 073 074 078 078 4 39 30 51Large Sacramento CA 075 088 110 110 108 108 110 112 116 113 117 119 123 126 129 131 135 136 13 6 61 4Small Salem OR 058 066 082 084 084 085 085 084 083 085 088 088 089 089 091 088 087 089 0 66 31 46Medium Salt Lake City UT 072 077 088 092 095 099 105 107 107 103 101 100 105 106 107 107 107 106 1 62 34 37Large San Antonio TX 068 078 075 075 077 078 082 086 089 092 096 101 104 103 105 106 110 110 6 26 42 17Large San Diego CA 083 093 123 122 122 120 121 122 122 122 123 128 133 137 137 137 142 141 8 20 58 5

Points Ranka Points RankaUrban areaPopulation

group 1991 2004 200519991995 19981994 20001997199619931992199019851982

Table 1-65 Annual Roadway Congestion IndexPoints change

Long-term 1982-2005

Short-term 2000-2005

200320022001Very large San Francisco-Oakland CA 101 113 131 130 129 130 129 131 132 133 134 136 138 135 139 140 139 140 2 53 39 23Large San Jose CA 103 110 123 123 120 116 118 119 119 118 119 123 135 137 136 136 133 133 -2 74 30 51Medium Sarasota-Bradenton FL 077 086 087 089 089 091 092 094 098 101 102 110 113 114 116 118 121 124 11 11 47 13Large Seattle WA 084 094 114 115 117 119 119 117 117 117 117 118 118 118 118 118 116 115 -3 78 31 48Small Spokane WA 053 059 064 067 071 075 075 075 075 076 077 077 076 076 075 076 073 070 -6 84 17 80Medium Springfield MA-CT 060 063 069 070 072 073 073 074 074 075 077 079 079 078 081 081 083 084 5 36 24 68Large St Louis MO-IL 084 089 086 084 088 092 099 104 105 105 103 103 102 101 100 096 094 091 -11 85 7 84Large Tampa-St Petersburg FL 104 109 113 118 117 118 118 116 114 114 113 112 113 117 120 121 126 127 14 4 23 71Medium Toledo OH-MI 054 061 065 064 068 072 078 081 086 088 089 089 091 091 090 087 088 086 -5 82 32 45Medium Tucson AZ 089 091 093 093 094 093 091 091 093 098 099 100 101 104 106 110 112 117 16 2 28 60Medium Tulsa OK 062 074 075 075 076 076 076 079 082 081 081 081 081 081 081 083 080 081 0 66 19 76Large Virginia Beach VA 078 082 085 083 083 084 087 089 092 095 096 098 099 099 102 102 102 102 3 48 24 68Very large Washington DC-VA-MD 083 101 105 106 112 115 121 122 124 124 125 124 125 128 131 134 134 135 10 12 52 7NA 85-Area Averageb 078 084 096 096 098 099 100 102 104 106 107 109 110 111 112 114 114 115 5 NA 37 NA

Small urban areas ndash less than 500000 population

a Rank is based on the calculated point change with the highest number corresponding to a rank of 1

Medium urban areas ndash over 500000 and less than 1 million population

b Average weighted by vehicle miles travled in city

KEY NA = not applicableVery large urban areas ndash over 3 million populationLarge urban areas ndash over 1 million and less than 3 million population

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Nov 20 2007

NOTE

The Roadway Congestion Index (RCI) is a measure of vehicle travel density on major roadways in an urban area An RCI exceeding 10 indicates an undesirable congestion level on an average on the freeways and principal arterial street systems during the peak period The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobility

Methodology and data sources have been changed in 2007 and applied retroactively to past years these figures are not comparable to those in past editions of NTS SOURCE

1998 Value

1999 Value

2000 Value

2001 Value

2002 Value

2003 Value

2004 Value

2005 Value

1998 Rank

1999 Rank

2000 Rank

2001 Rank

2002 Rank

2003 Rank

2004 Rank

2005 Rank

1998 Value

1999 Value

2000 Value

2001 Value

2002 Value

2003 Value

2004 Value

2005 Value

1998 Rank

1999 Rank

2000 Rank

2001 Rank

2002 Rank

2003 Rank

2004 Rank

2005 Rank

Medium Akron OH 208 209 206 197 186 176 192 185 69 71 74 73 75 78 78 80 57 59 60 59 57 56 64 62 66 68 68 69 73 73 72 75Medium Albany-Schenectady NY 152 161 183 197 210 241 290 300 76 77 75 73 71 71 68 68 39 42 49 53 58 67 83 86 72 73 72 72 71 70 69 68Medium Albuquerque NM 536 567 495 484 446 476 551 640 26 27 35 41 44 44 40 36 153 164 144 144 134 147 171 200 47 48 49 51 53 53 51 50Medium Allentown-Bethlehem PA-NJ 387 347 367 369 364 355 386 408 43 52 50 53 52 54 53 55 113 105 114 117 118 117 129 137 53 58 56 56 57 59 62 61Small Anchorage AK 152 152 153 174 179 171 176 176 76 78 79 76 76 79 80 82 19 20 20 24 25 25 27 27 78 79 80 80 79 81 80 81Very large Atlanta GA 1196 1175 1217 1215 1197 1138 1166 1177 1 1 1 1 1 2 2 2 1609 1682 1860 1978 2102 2181 2373 2581 4 4 4 5 5 5 5 6Medium Austin TX 546 618 662 735 709 739 785 909 22 18 18 14 17 19 22 13 200 235 263 309 311 334 360 422 38 36 33 31 33 35 36 31Small Bakersfield CA 131 134 130 136 165 181 226 259 79 81 82 83 80 77 74 72 25 27 27 29 37 43 56 66 77 77 77 77 75 75 76 73Large Baltimore MD 506 521 562 622 733 780 821 881 30 31 28 21 14 12 16 19 549 576 637 727 905 983 1043 1126 20 20 20 19 16 16 16 17Small Beaumont TX 107 126 135 147 177 168 188 202 82 82 81 82 77 80 79 78 12 14 15 17 21 21 23 25 83 82 82 82 82 83 82 82Medium Birmingham AL 446 461 476 499 518 552 597 625 37 40 38 39 39 36 37 37 148 157 165 175 186 202 220 234 49 49 48 48 47 47 47 47Very large Boston MA-NH-RI 544 563 601 638 698 729 836 895 23 28 21 20 21 20 15 17 1033 1071 1153 1242 1372 1443 1667 1820 13 13 12 12 12 12 13 12Small Boulder CO 235 247 255 267 253 248 266 277 67 68 66 68 70 69 71 70 13 14 14 15 14 15 16 17 82 82 84 84 84 84 84 84Medium Bridgeport-Stamford CT-NY 415 463 492 517 543 537 522 592 41 39 36 35 36 39 41 40 163 186 204 222 245 248 243 280 44 44 43 42 42 45 44 43Small Brownsville TX 75 86 101 115 118 127 134 138 85 85 85 85 85 85 85 85 5 7 8 10 10 11 12 13 85 85 85 85 85 85 85 85Large Buffalo NY 125 144 166 171 176 209 201 208 81 79 78 77 78 73 76 77 59 70 83 87 90 111 108 112 64 66 66 66 66 63 64 65Small Cape Coral FL 359 361 335 375 383 403 417 438 46 47 55 52 51 49 49 51 51 54 53 64 70 80 88 98 69 69 70 68 67 67 67 67Small Charleston-North Charleston SC 433 455 469 469 490 533 571 572 39 41 39 43 41 40 38 41 94 101 109 113 120 135 147 147 58 60 59 59 56 56 55 59Medium Charlotte NC-SC 507 568 670 704 767 780 859 875 29 25 16 17 12 12 12 20 161 189 239 266 316 335 389 409 45 41 35 34 31 34 32 32Very large Chicago IL-IN 581 585 584 602 704 745 818 906 17 22 24 23 18 18 18 15 2275 2341 2391 2522 3019 3221 3562 3968 3 3 3 3 3 3 3 3Large Cincinnati OH-KY-IN 443 430 463 444 458 481 482 502 38 42 40 44 43 43 46 45 324 331 370 371 395 433 436 459 28 29 28 30 29 28 30 30Large Cleveland OH 242 259 252 222 210 208 247 240 65 66 68 72 71 74 72 75 217 237 234 210 202 203 243 236 34 35 36 46 46 46 44 46Small Colorado Springs CO 272 329 384 408 402 393 372 492 60 57 47 46 47 50 56 46 58 73 92 100 102 101 97 132 65 64 63 64 64 65 65 62Small Columbia SC 182 209 239 251 260 280 294 304 71 71 70 70 69 65 67 67 37 43 51 55 59 65 69 73 73 72 71 70 69 71 71 71Large Columbus OH 469 469 461 481 488 518 599 620 36 37 42 42 42 41 36 38 252 262 266 290 306 337 393 408 31 32 32 32 34 33 31 33Small Corpus Christi TX 105 125 125 149 142 154 167 183 83 83 84 81 83 82 83 81 17 20 20 25 24 27 30 33 79 79 80 79 80 79 77 77Very Large Dallas-Fort Worth-Arlington TX 548 632 668 678 701 754 874 1046 21 16 17 18 20 16 11 6 1149 1386 1500 1582 1711 1897 2281 2747 9 9 9 10 10 9 6 4Medium Dayton OH 327 357 345 303 287 275 332 313 51 48 52 62 64 66 60 64 115 130 128 116 112 109 133 127 52 51 52 58 60 64 60 63Large Denver-Aurora CO 647 702 747 750 711 728 791 909 10 11 10 12 16 21 20 13 643 726 812 886 863 915 1006 1176 17 17 17 17 18 17 17 16Very large Detroit MI 790 821 832 891 936 976 995 1010 6 6 6 6 4 4 5 8 1512 1600 1654 1807 1933 2058 2121 2174 6 6 7 6 6 7 9 10Medium El Paso TX-NM 168 216 263 301 306 317 387 433 73 70 65 63 61 61 52 53 54 72 89 103 108 114 141 159 68 65 64 63 63 61 58 55Small Eugene OR 141 187 227 184 191 208 207 246 78 74 71 75 74 74 75 74 16 21 25 22 24 27 27 33 81 78 78 81 80 79 80 77Medium Fresno CA 354 392 404 364 360 352 355 381 48 44 45 54 54 56 57 56 97 110 116 106 112 113 116 127 57 55 55 62 60 62 63 63Medium Grand Rapids MI 360 374 373 376 364 375 414 427 45 46 48 51 52 52 50 54 93 100 104 110 111 117 132 138 59 62 60 60 62 59 61 60Medium Hartford CT 252 277 296 286 290 290 327 344 64 63 62 64 63 64 61 61 108 122 132 131 134 136 155 166 54 52 51 53 53 55 53 53Medium Honolulu HI 335 328 316 330 313 355 383 434 50 58 57 56 59 54 54 52 118 116 114 121 117 133 144 166 51 54 56 55 59 57 57 53Very large Houston TX 607 675 685 782 830 841 890 1012 14 13 14 11 9 9 8 7 1122 1288 1351 1610 1759 1809 1935 2225 11 10 10 9 9 10 10 9Large Indianapolis IN 778 756 781 793 818 830 857 836 7 9 8 9 10 10 13 22 398 395 415 431 455 469 487 478 23 25 25 26 26 26 28 28Medium Jacksonville FL 527 522 519 513 588 646 714 699 28 30 33 36 29 28 27 34 224 227 232 239 282 320 373 376 33 38 39 39 36 36 35 36Large Kansas City MO-KS 295 345 316 315 300 313 281 309 57 53 57 60 62 62 70 65 205 246 234 238 238 256 231 256 37 33 36 40 43 42 46 44Small Laredo TX 128 141 151 169 159 199 195 213 80 80 80 78 81 76 77 76 11 13 15 17 16 22 22 24 84 84 82 82 83 82 83 83Large Las Vegas NV 534 568 556 559 589 624 681 720 27 25 29 32 27 29 30 30 304 344 365 385 422 463 510 543 29 28 29 28 28 27 26 26Small Little Rock AR 192 221 207 242 193 229 301 305 70 69 73 71 73 72 65 66 31 36 36 42 35 42 60 62 75 75 75 75 76 76 75 75Very large Los Angeles-Long Beach-Santa Ana CA 1053 1122 1101 1176 1181 1171 1270 1374 2 2 2 2 2 1 1 1 6388 6928 6935 7521 7717 7831 8564 9324 1 1 1 1 1 1 1 1Medium Louisville KY-IN 634 671 678 612 675 711 799 804 12 15 15 22 22 23 19 25 266 288 297 276 313 340 388 395 30 31 31 33 32 32 33 35Medium Memphis TN-MS-AR 356 357 392 417 422 468 508 564 47 48 46 45 45 45 43 42 174 178 199 217 225 255 282 317 41 45 44 44 45 44 41 40Very Large Miami FL 552 632 688 735 768 806 847 903 19 16 13 14 11 11 14 16 1283 1527 1785 1979 2121 2305 2517 2730 8 8 5 4 4 4 4 5Large Milwaukee WI 307 334 340 324 319 327 344 354 55 55 53 57 58 59 59 59 207 232 244 241 246 256 271 282 36 37 34 38 41 42 42 42Large Minneapolis - St Paul MN 636 674 654 723 661 671 706 790 11 14 19 16 23 26 28 26 744 818 814 929 868 906 965 1100 16 16 16 16 17 18 18 18Medium Nashville-Davidson TN 480 518 556 579 633 686 719 751 34 33 29 27 24 25 26 28 179 206 234 258 302 346 375 404 39 39 36 35 35 31 34 34Medium New Haven CT 258 298 310 338 339 337 308 343 63 61 61 55 56 58 64 62 67 79 84 96 98 99 93 104 63 63 65 65 65 66 66 66Large New Orleans LA 319 335 316 309 309 319 322 345 53 54 57 61 60 60 63 60 175 187 180 179 181 189 192 208 40 43 47 47 48 48 49 49Very large New York-Newark NY-NJ-CT 541 607 563 567 589 660 784 888 24 20 27 30 27 27 23 18 3847 4424 4269 4399 4691 5397 6470 7383 2 2 2 2 2 2 2 2Large Oklahoma City OK 306 356 329 384 402 370 380 371 56 50 56 47 47 53 55 57 120 144 136 163 175 165 171 171 50 50 50 49 49 50 51 52

Table 1-66 Annual Highway Congestion CostAnnual congestion cost (2005 Dollars millions)

Population group Urban area

Annual congestion cost per peak traveler (2005 dollars)

Medium Omaha NE-IA 312 331 351 379 402 412 428 442 54 56 51 50 47 47 48 50 93 102 113 125 135 141 148 153 59 59 58 54 52 54 54 57Large Orlando FL 917 940 976 1038 981 961 970 983 3 3 3 3 3 5 7 9 518 549 603 675 665 677 703 738 22 22 21 21 21 21 22 22

Medium Oxnard-Ventura CA 338 356 432 509 540 553 629 727 49 50 44 38 37 35 34 29 92 117 123 148 161 170 197 229 61 53 53 50 50 49 48 48Small Pensacola FL-AL 286 302 315 316 344 382 409 445 58 60 60 58 55 51 51 49 42 46 49 52 59 68 76 83 71 71 72 73 69 69 70 69Very large Philadelphia PA-NJ-DE-MD 474 492 482 547 582 616 653 711 35 36 37 33 31 30 32 31 1142 1230 1258 1485 1643 1776 1901 2077 10 11 11 11 11 11 11 11Very large Phoenix AZ 633 700 706 787 743 774 821 981 13 12 12 10 13 14 16 10 770 917 983 1143 1116 1204 1342 1687 15 15 15 14 14 14 14 14Large Pittsburgh PA 241 269 251 267 269 267 284 285 66 64 69 68 67 67 69 69 213 242 232 252 259 265 284 285 35 34 39 36 38 41 40 41Large Portland OR-WA 551 594 597 602 576 605 647 704 20 21 22 23 32 32 33 33 381 428 447 472 466 514 562 625 24 23 23 24 25 25 25 25Large Providence RI-MA 262 309 336 380 414 455 486 507 62 59 54 48 46 46 45 44 158 191 211 242 270 303 328 344 46 40 42 37 37 37 37 38Medium Raleigh-Durham NC 431 465 510 534 585 578 628 671 40 38 34 34 30 33 35 35 150 169 197 222 254 270 308 347 48 47 45 42 40 40 38 37Medium Richmond VA 279 282 255 269 279 305 346 362 59 62 66 67 66 63 58 58 104 109 104 117 129 150 172 181 55 56 60 56 55 51 50 51Large Riverside-San Bernardino CA 537 580 566 583 622 694 886 961 25 24 26 26 25 24 9 12 379 428 438 475 542 636 837 955 25 23 24 23 23 22 20 20Medium Rochester NY 104 123 127 126 125 146 170 176 84 84 83 84 84 84 82 82 33 40 43 44 44 52 61 64 74 74 74 74 74 74 74 74Large Sacramento CA 505 532 548 584 576 616 704 755 31 29 31 25 32 30 29 27 346 379 407 454 483 557 653 729 27 27 26 25 24 24 23 23Small Salem OR 180 203 221 273 285 246 244 257 72 73 72 66 65 70 73 73 17 20 23 30 33 29 30 31 79 79 79 76 77 77 77 79Medium Salt Lake City UT 376 413 462 492 521 548 497 475 44 43 41 40 38 37 44 47 169 189 215 237 256 273 254 250 42 41 41 41 39 39 43 45Large San Antonio TX 400 493 594 563 561 564 661 706 42 35 23 31 35 34 31 32 249 313 388 375 387 410 493 530 32 30 27 29 30 30 27 27Large San Diego CA 599 707 727 825 899 864 1057 1065 15 10 11 8 6 8 3 5 803 978 1038 1213 1366 1354 1669 1708 14 14 14 13 13 13 12 13Very large San Francisco-Oakland CA 792 829 849 847 876 915 994 1121 5 5 5 7 8 6 6 3 1523 1622 1688 1716 1838 1947 2126 2414 5 5 6 8 8 8 8 7Large San Jose CA 718 836 856 910 884 912 883 973 9 4 4 4 7 7 10 11 597 715 747 806 796 834 812 899 18 18 18 18 19 20 21 21Medium Sarasota-Bradenton FL 327 377 368 380 391 405 434 450 51 45 49 48 50 48 47 48 85 101 102 110 118 128 145 156 62 60 62 60 57 58 56 56Large Seattle WA 807 812 766 738 724 755 776 866 4 8 9 13 15 15 24 21 1053 1089 1056 1055 1080 1181 1244 1413 12 12 13 15 15 15 15 15Small Spokane WA 161 173 171 157 157 147 145 143 74 75 77 80 82 83 84 84 26 29 29 27 28 28 28 28 76 76 76 78 78 78 79 80Medium Springfield MA-CT 157 168 174 163 169 165 174 198 75 76 76 79 79 81 81 79 48 52 55 54 58 58 62 71 70 70 69 71 71 72 73 72Large St Louis MO-IL 582 618 628 574 574 543 564 612 16 18 20 29 34 38 39 39 587 634 667 624 638 615 647 711 19 19 19 22 22 23 24 24Large Tampa-St Petersburg FL 557 585 584 654 702 749 789 809 18 22 24 19 19 17 21 24 524 567 592 692 766 839 959 1004 21 21 22 20 20 19 19 19Medium Toledo OH-MI 230 255 277 275 262 253 301 277 68 67 64 65 68 68 65 70 57 64 71 72 70 71 85 79 66 67 67 67 67 68 68 70Medium Tucson AZ 497 508 537 579 613 722 742 830 32 34 32 27 26 22 25 23 166 174 189 213 231 280 292 338 43 46 46 45 44 38 39 39Medium Tulsa OK 266 269 295 316 329 346 323 338 61 64 63 58 57 57 62 63 102 107 123 133 141 150 141 149 56 57 53 52 51 51 58 58Large Virginia Beach VA 494 521 452 512 516 508 518 550 33 31 43 37 40 42 42 43 361 393 352 412 426 425 438 468 26 26 30 27 27 29 29 29Very large Washington DC-VA-MD 761 819 823 892 930 1000 1042 1094 8 7 7 5 5 3 4 4 1440 1585 1596 1783 1927 2100 2210 2331 7 7 8 7 7 6 7 8NA 437-Area Average 505 541 539 571 592 607 657 707 NA NA NA NA NA NA NA NA 119 129 134 145 157 155 167 179 NA NA NA NA NA NA NA NANA 85-Area Average 578 618 622 652 673 698 759 824 NA NA NA NA NA NA NA NA 465 513 533 575 612 653 723 796 NA NA NA NA NA NA NA NANA Very Large Area Average 702 749 746 783 812 846 923 1014 NA NA NA NA NA NA NA NA 1868 2049 2106 2273 2431 2596 2880 3205 NA NA NA NA NA NA NA NANA Large Area Average 493 532 542 568 576 592 642 683 NA NA NA NA NA NA NA NA 375 417 439 475 498 528 582 628 NA NA NA NA NA NA NA NANA Medium Area Average 359 384 401 415 432 451 484 512 NA NA NA NA NA NA NA NA 119 132 141 151 163 175 192 206 NA NA NA NA NA NA NA NANA Small Area Average 211 232 244 258 263 276 293 318 NA NA NA NA NA NA NA NA 30 34 37 40 42 46 50 56 NA NA NA NA NA NA NA NA

SOURCE

Small urban areas - less than 500000 population

NOTES

KEY NA = not applicable R = revisedVery large urban areas - over 3 million population

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Nov 26 2007

The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobilityThe cost of congestion is estimated with a value for each hour of travel time and each gallon of fuel For a more detailed explanation of the formulas used see the source document

Large urban areas - over 1 million and less than 3 million populationMedium urban areas - over 500000 and less than 1 million population

Methodology and data sources have been changed in 2007 and applied retroactively to past years these figures are not comparable to those in past editions of NTS

Table 1-67 Amtrak On-Time Performance Trends and Hours of Delay by Cause1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

On-time performance total percent (weighted) 69 81 76 77 77 72 72 76 71 74 79 79 78 75 76 74 71 70 68 69Short distance (lt400 miles) percent 71 82 82 82 82 79 78 81 76 79 81 80 82 79 80 77 (R) 75 (R) 74 (R) 73 72Long distance (gt=400 miles) percent 64 78 53 59 61 47 49 57 49 53 59 55 55 52 52 53 (R) 41 (R) 42 (R) 30 40Hours of delay by cause totala N N 12126 21084 22847 32991 34729 25248 25056 25825 27289 29252 70396 83837 85932 88413 95162 95259 101522 101655Amtrakb N N 3565 5915 6433 8488 8538 5527 5193 5310 4796 4891 23337 27822 26575 25711 28328 25549 23968 22902Host railroadc N N 4244 7743 8229 12827 14319 11224 11438 12904 14202 16158 43881 52273 55090 57346 61256 64097 71387 72565Otherd N N 4316 7426 8185 11675 11871 8497 8425 7611 8291 8203 3176 3741 4266 5355 5577 5613 6166 6187KEY N = data do not exist R = revised

a Amtrak changed its method for reporting delays in 2000 Therefore the data for 2000 and following years are not comparable with prior yearsb Includes all delays that occur when operating on Amtrak owned tracks and all delays for equipment or engine failure passenger handling holding for connections train servicing and mailbaggage handling when on tracks of a host railroad c Includes all operating delays not attributable to Amtrak when operating on tracks of a host railroad such as track and signal related delays power failures freight and commuter train interference routing delays etc d Includes delays not attributable to Amtrak or other host railroads such as customs and immigrations law enforcement action weather or waiting for scheduled departure time

NOTES Host railroad is a freight or commuter railroad over which Amtrak trains operate for all or part of their tripNumbers may not add to totals due to roundingAll percentages are based on Amtraks fiscal year (October 1ndashSeptember 30) Amtrak trips are considered delayed based on the following chart

Delayed departure Trip length (miles) time (minutes)0-250 10251-350 15351-450 20451-550 25gt551 30

SOURCES 1980 Amtrak National Railroad Passenger Corporation Annual Report (Washington DC 1981)1985ndash99 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2000ndash07 Amtrak personal communication as of September 2008

Chapter 2Transportation Safety

Section AMultimodal

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL fatalities U U U U U U 47350 44321 42058 42827 43587 44568 44848 44474 43910 44084 44384 44941 (R) 45297 (R) 45101 (R) 44985 (R) 45565 (R) 44974 43032Air total 1286 1290 1456 1473 1382 1595 866 1005 989 811 1057 964 1093 724 671 681 764 1166 616 (R) 699 (R) 637 603 (R) 771 535US air carriera 499 261 146 124 1 526 39 (n) 50 33 1 239 168 380 8 1 12 92 (o) 531 0 22 14 22 50 1Commuter carrierb N N N 28 37 37 6 (n) 77 21 24 25 9 14 46 0 12 5 13 0 2 0 0 2 0On-demand air taxic N N N 69 105 76 51 78 68 42 63 52 63 39 45 38 71 60 35 42 64 18 16 43General aviationd 787 1029 1310 1252 1239 956 770 800 867 744 730 735 636 631 625 619 596 562 581 (R) 633 (R) 559 563 (R) 703 491Highway total 36399 47089 52627 44525 51091 43825 44599 41508 39250 40150 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 43510 42708 41059Passenger car occupants N N N 25929 27449 23212 24092 22385 21387 21566 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 19192 18512 (R) 17925 16520Motorcyclists 790 1650 2280 3189 5144 4564 3244 2806 2395 2449 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 4576 (R) 4837 5154Truck occupantse light N N N 4856 7486 6689 8601 8391 8098 8511 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 13037 (R) 12761 12413Truck occupantse large N N N 961 1262 977 705 661 585 605 670 648 621 723 742 759 754 708 689 726 766 804 805 802Bus occupants N N N 53 46 57 32 31 28 18 18 33 21 18 38 59 22 34 45 41 42 58 27 37Pedestrians 7210 7990 8950 7516 8070 6808 6482 5801 5549 5649 5489 5584 5449 5321 5228 4939 4763 4901 4851 4774 4675 4892 (R) 4795 4654Pedalcyclists 490 690 760 1003 965 890 859 843 723 816 802 833 765 814 760 754 693 732 665 629 727 786 (R) 772 698Otherf 27909 36759 40637 1018 669 628 584 590 485 536 516 501 611 573 540 596 591 581 642 729 732 845 (R) 786 781Railroad totalg 2345 2533 2225 1492 1417 1036 1297 1194 1170 1279 1226 1146 1039 1063 1008 932 937 971 951 (R) 865 (R) 891 (R) 883 (R) 902 845

Highway-rail grade crossingh 1421 1610 1440 917 833 582 698 608 579 626 615 579 488 461 431 402 425 421 357 334 (R) 371 (R) 358 368 335Railroad 924 923 785 575 584 454 599 586 591 653 611 567 551 602 577 530 512 550 594 (R) 531 (R) 520 (R) 525 (R) 534 510

Transit totali N N N N N N 339 300 273 281 320 274 264 275 286 299 295 267 280 234 248 236 (R) 227 214Highway-rail grade crossingj N N N N N N N N N N N 17 7 12 26 21 20 13 24 21 29 23 (R) 21 27Transit N N N N N N N N N N N 257 257 263 260 278 275 254 256 213 219 213 206 187

Waterborne totalk N N 2016 2039 1847 1377 1051 1010 1032 1026 992 1016 906 989 1033 928 888 828 857 807 759 777 797 769Vessel-relatedl N N 178 243 206 131 85 30 97 105 77 53 55 48 69 58 53 53 66 54 48 45 48 52Not related to vessel casualtiesl N N 420 330 281 130 101 56 119 121 131 134 142 120 149 136 134 94 41 50 35 35 39 32Recreational boatingm 739 1360 1418 1466 1360 1116 865 924 816 800 784 829 709 821 815 734 701 681 750 703 676 697 710 685

Pipeline total N N 30 15 19 33 9 14 15 17 22 21 53 10 21 22 38 7 12 12 23 16 19 15Hazardous liquid pipeline N N 4 7 4 5 3 0 5 0 1 3 5 0 2 4 1 0 1 0 5 2 0 4Gas pipeline N N 26 8 15 28 6 14 10 17 21 18 48 10 19 18 37 7 11 12 18 14 19 11

k Vessel-related casualties include those involving damage to vessels such as collisions or groundings Fatalities not related to vessel casualties include deaths from falling overboard or from accidents involving onboard equipment

l 1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 and 2003 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable m Data are based on information provided by the States the District of Columbia and the five US Territories to the Coast Guard Boating Accident Report Database (BARD) system Research on the level of underreporting of fatal accidents in the BARD based on discrepancies between the BARD and the Coast Guard Search and Rescue Management Information System (SARMIS) found that approximately 6 percent of recreational boating fatalities are not captured by the BARD system Adjusting the number of recreational boating fatalities included in the BARD in 2001 by 6 percent increases the total to 722

i Fatalities include those resulting from all reportable incidents not just from accidents

j Includes motor bus commuter rail heavy rail light rail demand response van pool and automated guideway Fatalities occurring at highway-rail crossings resulting from operations of public transit rail modes including commuter rail Data for fatalities at light rail grade crossings are 1995 (7) 1996 (3) 1997 (3) 1998 (10) 1999 (7) 2000 (12) 2001 (1) 2002 (1) 2003 (4) 2004 (9)

Numbers may not add to the total because some fatalities are counted in more than one mode Total fatalities is derived from table 2-4 and earlier editions of this table To avoid double counting the following adjustments are made most (not all) highway-rail grade-crossing fatalities have not been added because most (not all) such fatalities involve motor vehicles and thus are already included in highway fatalities for transit all commuter rail fatalities and motor-bus trolley-bus demand-responsive and van-pool fatalities arising from accidents have been subtracted because they are counted as railroad highway or highway-rail grade-crossing fatalities The reader cannot reproduce the total fatalities in this table by simply leaving out the number of highway-rail grade-crossing fatalities in the and subtracting the above transit submodes because in so doing grade-crossing fatalities not involving motor vehicles would be left out (see table 2-35 on rail) An example of such a fatality is a bicyclist hit by a train at a grade crossing

KEY N = data do not exist R = revised U = data are not available

a Carriers operating under 14 CFR 121 all scheduled and nonscheduled service Since Mar 20 1997 14 CFR 121 include aircraft with 10 or more seats that formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent data In 2001 other than the persons aboard the aircrafts who were killed fatalities resulting from the September 11 terrorist acts are excludedb All scheduled service operating under 14 CFR 135 (commuter air carriers) Before Mar 20 1997 14 CFR 135 applied to aircraft with 30 or fewer seats Since Mar 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent data

f Includes occupants of other vehicle types and other nonmotorists For 1960-70 the US Department of Transportation National Highway Traffic Safety Administration did not break out fatality data to the same level of detail as in later years so fatalities for those years also include occupants of passenger cars trucks and buses

c Nonscheduled service operating under 14 CFR 135 (on-demand air taxis) d All operations other than those operating under 14 CFR 121 and 14 CFR 135 e Large trucks are defined as trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks are defined as trucks of 10000 pounds gross vehicle werating or less including pickups vans truck-based station wagons and utility vehicles

g Includes Amtrak Fatalities include those resulting from train accidents train incidents and nontrain incidents Railroad fatality data for 1970 and before is not comparable with post-1970 data due change in the reporting system h Fatalities occurring at highway-rail crossings resulting from freight and passenger rail operations including commuter rail Highway-rail grade crossing fatalities except train occupants are also counted under highway

o Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are excluded

NOTES

Table 2-1 Transportation Fatalities by Mode

n US air carrier figure does not include 12 persons killed aboard a commuter aircraft when it and a US Air airliner collided commuter air carrier figure does not include 22 persons killed aboard a US Air airliner when it and a commuter aircraft collided

Highway fatalities data prior to 1975 have been adjusted to reflect the Fatality Analysis Reporting Systems definition of a fatal crash as one that involves a motor vehicle on a trafficway that results in the death of a vehicle occupant or a nonmotorist within 30 days of the crash

1992-2007 US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication Oct 16 2008

US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety Accident and Incident Summary Statistics by Year available at httpopsdotgovstatsstatshtm as of Sept 19 2008

Recreational boating

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorg as of Sept 9 2008Hazardous liquid and gas pipeline

1993-2006 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) available at httptransit-safetyvolpedotgovdataSAMISasp as of Sept 10 2007

WaterVessel- and nonvessel-related

1970-91 US Department of Transportation US Coast Guard Office of Investigations and Analysis Compliance Analysis Division (G-MOA-2) personal communication Apr 13 1999

2007 Ibid Personal Communication as of Oct 30 2008

Highway-rail grade crossingUS Department of Transportation Federal Transit Administration Office of Program Management personal communication Aug 28 2007Transit

1990-92 US Department of Transportation Federal Transit Administration Safety Management Information Statistics 1999 (Washington DC 2001) p 41

Transit

1991-07 Ibid Railroad Safety Statistics available at httpsafetydatafradotgovofficeofsafety as of Sep 9 2008Railroad1960-65 National Safety Council Accident Facts 1974 (Washington DC 1974)1970-90 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table 7

1965-70 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1975 NTSBARC-771 (Washington DC January 1977)

1985-90 Ibid Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table S

1991-07 Ibid Railroad Safety Statistics available at httpsafetydatafradotgovofficeofsafety as of Sep 9 2008

1980 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) tables 2 and 161985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 5 as of Sept 9 2008

1970-2005 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts (Annual Editions) available at httpwww-nrdnhtsadotgovcatsindexaspx as of December 2008

Rail

On-demand air taxi

1960-70 National Safety Council Accident Facts 1974 (Washington DC 1974)1975-80 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development personal communication

The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade The Federal Transit Administration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

Caution must be exercised in comparing fatalities across modes because significantly different definitions are used In particular rail and transit fatalities include incident-related (as distinct from accident-related) fatalities such as fatalities from falls in transit stations or railroad employee fatalities from a fire in a workshed Equivalent fatalities for the air and highway modes (fatalities at airports not caused by moving aircraft or fatalities from accidents in automobile repair shops) are not counted toward the totals for these modes Thus fatalities not necessarily directly related to in service transportation are counted for the transit and rail modes potentially overstating the risk for these modes

Commuter1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1980 NTSBARC-8301 (Washington DC January 1983) tables 26 and 40

US Air Carrier

1975 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1983 NTSBARC-8701 (Washington DC February 1987) table 18

SOURCESAir

Highway-rail grade crossing

1985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 9 as of Sept 9 2008 General aviation

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

2006-2007 ibid FARS General Trends available at httpwww-farsnhtsadotgovMainreportslinksaspx as of Oct 27 2008

Highway

1960-65 US Department of Transportation National Highway Traffic Safety Administration from data supplied by US Department of Health and Human Services National Center for Health Statistics and individual state accident reports (adjusted to 30-day deaths)

1960 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1967 (Washington DC December 1968)

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21 1985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 10 as of Sept 9 2008

1985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 8 as of Sept 9 2008

1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 61

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001n 2002 2003 2004 2005 2006 2007TOTAL injured persons U U U U U U U U 3147561 3223298 3345263 3539389 3554305 3417846 3262309 3305649 3259673 3100080 2958911 2918528 2818446 2728327 2604648 UAira total

US air carrierb N N 107 81 19 30 29 26 22 19 31 25 77 43 30 67 29 19 (R) 24 (R) 31 (R) 20 (R) 14 (R) 9 15Commuter carrierc N N N N 14 14 11 31 7 2 6 17 2 1 2 2 7 4 0 1 0 0 1 0On-demand air taxid N N N N 43 44 36 26 19 24 32 14 22 23 10 15 12 24 16 12 17 (R) 23 16 20General aviatione N N 715 769 681 501 409 432 408 385 415 396 366 350 327 322 309 321 297 323 266 (R) 267 (R) 264 260

Highway total N N N N N N 3230666 3096870 3069603 3149164 3265928 3465279 3483319 3347614 3192035 3236238 3188750 3032672 2925758 2888601 2788378 2699000 2575000 UPassenger car occupants N N N N N N 2376439 2234594 2231703 2264809 2363595 2469358 2458080 2340612 2201375 2137503 2051609 1926625 1804788 1756495 1642549 1573000 1475000 UMotorcyclists N N N N N N 84285 80435 65099 59436 57405 57480 55281 52574 48974 49986 57723 60236 64713 67103 76379 87000 88000 UTruck occupantsf light N N N N N N 505144 562601 544657 600874 631411 722496 761478 754820 762506 846865 886566 860527 879338 889048 900171 872000 857000 UTruck occupantsf large N N N N N N 41822 28031 33778 32102 30208 30344 32760 30913 28767 32892 30832 29424 26242 26893 27287 27000 23000 UBus occupants N N N N N N 32691 20959 20144 17056 15767 19214 20291 16887 15559 21958 17769 15427 18819 18174 16410 11000 10000 UPedestrians N N N N N N 104805 88446 89184 94001 91987 85837 81797 77011 68955 85235 77625 77619 70664 69949 67985 64000 61000 UPedalcyclists N N N N N N 74903 67088 62691 67916 62489 66572 58158 57802 53379 51290 51160 45277 48011 46378 41086 45000 44000 UOtherg N N N N N N 10578 14716 22348 12969 13065 13977 15473 16995 12519 10509 15466 17536 13182 14561 16511 18000 18000 U

Railroad totalh 19480 25655 21206 53998 62246 34304 25143 23468 21383 19121 16812 14440 12558 11767 11459 11700 11643 10985 11103 (R) 9254 (R) 9187 (R) 9495 (R) 8690 9343Highway-rail grade crossingi 3367 3725 3272 3860 3550 2687 2407 2094 1975 1837 1961 1894 1610 1540 1303 1396 1219 1157 999 (R) 1034 (R) 1094 (R) 1049 (R) 1067 1043Railroad 16113 21930 17934 50138 58696 31617 22736 21374 19408 17284 14851 12546 10948 10227 10156 10304 10424 9828 10104 (R) 8220 (R) 8093 (R) 8446 (R) 7623 8300

Transit totalj N N N N N N 54556 52125 55089 52668 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 18327 UHighway-rail grade crossingk N N N N N N N N N N N 195 184 126 58 159 123 74 108 117 153 194 172 UTransit N N N N N N N N N N N 57001 55104 56006 55932 55166 56574 53871 19152 18118 18829 17937 18155 U

Waterborne totall N N U U U U U U 5356 5128 6144 6165 6064 5737 5321 4992 5112 5008 4856 4666 4066 4095 5245 4335Vessel-relatedm N N 105 97 180 172 175 110 170 171 182 154 254 120 130 152 150 210 192 227 198 140 177 167Not related to vessel casualtiesm N N U U U U U U 1503 1398 1878 1870 1368 1062 579 525 607 524 602 551 505 504 594 495Recreational boating 929 927 780 2136 2650 2757 3822 3967 3683 3559 4084 4141 4442 4555 4612 4315 4355 4274 4062 3888 3363 3451 4474 3673

Pipeline total N N 254 231 192 126 76 98 118 111 1971 64 127 77 81 108 81 61 49 71 60 (R) 48 32 43Hazardous liquid pipeline N N 21 17 15 18 7 9 38 10 1858 11 13 5 6 20 4 10 0 5 16 2 2 10Gas pipeline N N 233 214 177 108 69 89 80 101 113 53 114 72 75 88 77 51 49 66 44 (R) 46 31 43

e All operations other than those operating under 14 CFR 121 and 14 CFR 135

Table 2-2 Injured Persons by Transportation Mode

i Injuries occurring at highway-rail crossings resulting from freight and passenger rail operations including commuter rail Highway-rail grade crossing injuries except train occupants are also counted under highway

k Injuries occurring at highway-rail crossings resulting from operations of public transit rail modes including commuter rail Data for injuries at light rail crossings are 1995 (179) 1996 (171) 1997 (92) 1998 (42) 1999 (148) 2000 (111) 2001 (54) 2002 (76) 2003 (68) 2004 (76)l Vessel-related injuries include those involving damage to vessels such as collisions or groundings Injuries not related to vessel casualties include those from falls overboard or from accidents involving onboard equipment

KEY N = data do not exist R = revised U = data are not available

d Nonscheduled service operating under 14 CFR 135 (on-demand air taxis

j Includes motor bus commuter rail heavy rail light rail demand response van pool and automated guideway Transit injuries include those resulting from all reportable incidents not just from accidents Directly Operated (DO) modes only The drop in the number of injuries in 2002 is due largely to a change in definitions by the Federal Transit Administration Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously

m 1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 2003 and 2004 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable

a Injuries classified as serious See definitions of injuries in the glossary

h Includes Amtrak Figures include those injuries resulting from train accidents train incidents and nontrain incidents Injury figures also include occupational illness Railroad injury data for 1970 and before are not comparable with post-1970 data due to a change in the reporting system

c All scheduled service operating under 14 CFR 135 (commuter air carriers) Before March 20 1997 14 CFR 135 applied to aircraft with 30 or fewer seats Since March 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years data

b All scheduled and nonscheduled service operating under 14 CFR 121 Since March 20 1997 14 CFR 121 includes only aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years data

f Large trucks are defined as trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks are defined as trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehicg Includes occupants of other unknown vehicle types and other nonmotorist

n Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are exclude

Numbers may not add to total because some injuries are counted in more than one mode To avoid double counting the following adjustments have been made Most (not all) highway-rail grade crossing injuries have not been added because most (not all) such injuries involve motor vehicles and are already included in highway injuries

AirSOURCES

For transit all commuter rail injuries and motor-bus trolley-bus demand-responsive and van-pool injuries arising from accidents have been subtracted because they are counted as railroad highway or highway-rail grade crossing injuries

2000-06 Ibid available at httpsafetydatafradotgovofficeofSafetyQueryDefaultasp as of Sept 4 2007

1960-70 National Safety Council Accident Facts 1974 (Washington DC 1974)

Rail

1970-94 National Transportation Safety Board Annual Review of Aircraft Accident Data General Aviation (Washington DC Annual issues)

NOTES

The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade The Federal Transit Administration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

The motor vehicle injury data in this table come from the US Department of Transportation National Highway Traffic Safety Administrations General Estimates System (GES) The data from GES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or did not result in property damage

The reader cannot reproduce the total injuries count in this table by simply leaving out the number of highway-rail grade crossing injuries in the sum and subtracting the above transit submodes because in so doing grade-crossing injuries not involving motor vehicles would be left out (see table 2-35 on rail) An example of such an injury is a bicyclist injured by a train at a grade crossing

Highway-rail grade crossings

Highway1995-2007 Ibid Analysis and Data Division personal communication October 2008

Water

1990-99 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 1999 DOT HS 809 100 (Washington DC December 2000) table 4

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-1

2005-06 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts (Washington DC Annual Issues) table 4

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-1

2006 US Department of Transportation Research and Innovative Technology Administration Volpe Center Transit Safety and Security Statistics and Analysis Program personal communication Sept 7 2007

Transit

Recreational boating

2000-04 Ibid General Estimates System Database and personal communication Dec 9 2003 Oct 12 2004 Apr 20 2006

1975 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development personal communication

Railroad1960-70 National Safety Council Accident Facts 1974 (Washington DC 1974)

1970-91 US Department of Transportation US Coast Guard Office of Investigations and Analysis Compliance Analysis Division (G-MOA-2) personal communication Apr 13 1999

1992-2007 US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication October 2008

US Department of Transportation Federal Transit Administration Office of Program Management personal communication as of June 8 2006Highway-rail grade crossings

2000-07 Ibid available at httpsafetydatafradotgovofficeofSafetyQueryDefaultasp as of November 2008

Hazardous liquid and gas pipeline

1980-91 Ibid Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table S

1970-2007 US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Accident and Incident Summary Statistics by Year available at httpopsdotgov as of November 2008

1970-91 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington

Transit

1990-92 US Department of Transportation Federal Transit Administration Safety Management Information Statistics (Washington DC Annual issues)1993-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) available at httptransit-safetyvolpedotgovdataSAMISasp as of Sept 4 2007

Vessel- and nonvessel-related

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at available at httpwwwuscgboatingorg as of November 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Air 4883 5279 4767 4232 3818 2935 2388 2334 2228 2172 2140 2179 2046 1991 2040 2043 1985 1852 1823 1869 1717 1781 (R) 1607 1722

US air carriera 90 83 55 37 19 21 24 26 18 23 23 36 37 49 50 51 56 46 41 54 30 40 (R) 33 26Commuter carrierb N N N 48 38 18 15 23 23 16 10 12 11 16 8 13 12 7 7 2 4 6 3 3On-demand air taxic N N N 152 171 157 107 88 76 69 85 75 90 82 77 74 80 72 60 (R) 73 66 (R) 65 (R) 53 62General aviationd 4793 5196 4712 3995 3590 2739 2242 2197 2111 2064 2022 2056 1908 1844 1905 1905 1837 1727 1715 (R) 1740 1617 (R) 1670 (R) 1518 1631

Highway total crashese N N N N N N 6471000 6117000 6000000 6106000 6496000 6699000 6770000 6624000 6335000 6279000 6394000 6323000 6316000 6328000 6181000 6159000 5973000 UPassenger car N N N N N N 5560592 5178450 5042203 5040116 5401164 5593685 5598699 5423286 5146124 4915734 4926243 4831842 4802056 4746620 4557453 4498869 4341688 UMotorcycle N N N N N N 103114 105030 72177 74565 68752 66354 66224 61451 54477 57322 68783 73342 76004 79131 85557 100686 101474 UTruckf light N N N N N N 2152486 2200134 2191171 2407212 2573701 2749596 2880782 2900896 2866729 3079617 3207738 3254105 3272326 3345367 3370062 3381985 3355291 UTruckf large N N N N N N 371801 318637 362807 383220 444697 362883 378335 421377 391807 452444 437861 409372 416477 436161 399156 423016 367920 UBus N N N N N N 60412 56285 49705 51353 55818 58847 57185 53376 53385 62591 55594 54264 57958 57674 52148 50427 51554 U

Railroad totalg N N 11654 20117 18817 10194 8594 8046 7269 7503 7483 7092 6700 6262 6083 6257 6485 6260 5815 (R) 5994 (R) 6459 (R) 6319 (R) 5905 5399Highway-rail grade crossingh 3195 3820 3559 12076 10612 6919 5715 5388 4910 4892 4979 4633 4257 3865 3508 3489 3502 3237 3077 2977 (R) 3079 (R) 3058 (R) 2937 2752Railroadi N N 8095 8041 8205 3275 2879 2658 2359 2611 2504 2459 2443 2397 2575 2768 2983 3023 2738 (R) 3017 (R) 3380 (R) 3261 (R) 2968 2647

Transit totalj N N N N N N 58002 46467 36380 30559 29972 25683 25166 24924 23937 23310 24261 23891 13968 7793 7842 8151 8851 9398Highway-rail grade crossingk N N N N N N N N N N N 127 134 119 106 140 148 101 190 125 178 148 141 174Transitl N N N N N N N N N N N 25556 25032 24805 23831 23170 24113 23790 13778 7668 7664 8003 8710 9224

Waterborne total N N 6385 9618 10137 9676 10024 8795 11631 12461 13649 13368 13286 13551 13828 13457 13143 11377 11713 10601 9866 9946 10367 UVessel-relatedm N N 2582 3310 4624 3439 3613 2222 5583 6126 6743 5349 5260 5504 5767 5526 5403 4958 6008 5163 4962 4977 5400 URecreational boating 2738 3752 3803 6308 5513 6237 6411 6573 6048 6335 6906 8019 8026 8047 8061 7931 7740 6419 5705 5438 4904 4969 4967 5191

Pipeline total N N 1428 1592 1770 517 378 449 389 445 467 349 381 346 389 339 380 341 331 370 443 (R) 490 (R) 407 402Hazardous liquid pipeline N N 351 254 246 183 180 216 212 229 245 188 194 171 153 167 146 130 147 131 144 138 (R) 120 116Gas pipeline N N 1077 1338 1524 334 198 233 177 216 222 161 187 175 236 172 234 211 184 239 299 (R) 352 (R) 287 286

Table 2-3 Transportation Accidents by Mode

The motor vehicle crash data in this table come from the US Department of Transportation National Highway Traffic Safety Administrations General Estimates System (GES) which began operation in 1988 GES data are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or did not result in property damage

j Accident figures include collisions with vehicles objects and people derailments vehicles going off the road Accident figures do not include fires and personal casualties The drop in the number of accidents in 2002 is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Directly Operated (DO) modes only

m 1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 and 2003 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable

k Accidents occurring at highway-rail grade crossings resulting from operations of public transit rail modes including commuter rail Data for light rail crossings are 1995 (98) 1996 (1997 (66) 1998 (66) 1999 (103) 2000 (106) 2001 (54) 2002 (112) 2003 (66) 2004 (107)l Accidents occurring at highway-rail grade crossings resulting from operations of public transit rail modes excluding commuter rail

NOTES

The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade The Federal Transit Administration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

h Accidents and incidents occurring at highway-rail crossings resulting from freight and passenger rail operations including commuter rail Data not comparable after 1970 due to change in reporting system Most highway-rail grade crossing accidents are also counted under highwayi Train accidents only

f Large trucks are defined as trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks are defined as trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehiclesg Includes Amtrak Accidents and incidents resulting from freight and passenger rail operations including commuter rail Railroad accident data for 1970 and before are not comparawith post-1970 data due to a change in the reporting system

KEY N = data do not exist R = revised U = data are not available

e The US Department of Transportation National Highway Traffic Safety Administration uses the term crash instead of accident in its highway safety data Highway crashes often involve more than one motor vehicle hence total highway crashes is smaller than the sum of the components Estimates of highway crashes are rounded to the nearest thousand in the source document

a Carriers operating under 14 CFR 121 all scheduled and nonscheduled service Since Mar 20 1997 14 CFR 121 includes only aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years datab All scheduled service operating under 14 CFR 135 Since Mar 20 1997 14 CFR 121 includes only aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years data c Nonscheduled service operating under 14 CFR 135d All operations other than those operating under 14 CFR 121 and 14 CFR 135

Total

Transit

2007 National Transportation Safety Board Aviation Accident Statistics Table 5 available at httpwwwntsbgovaviationStatshtm as of August 2008

2007 National Transportation Safety Board Aviation Accident Statistics Table 8 available at httpwwwntsbgovaviationStatshtm as of August 2008

2007 National Transportation Safety Board Aviation Accident Statistics Table 9 available at httpwwwntsbgovaviationStatshtm as of August 2008

1975 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1983 NTSBARC-8701 (Washington DC February 1987) table 18

Air carrier

1980 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) tables 2 and 16

Commuter air carrier

1985-2006 Ibid personal communication Sept 4 2007

1985-2006 Ibid personal communication Sept 4 2007

1970-90 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development AccidentIncident Bulletin (Washington DC Annual issues) table 4

2000-07 Ibid available at httpsafetydatafradotgovofficeofsafetyDefaultasp as of Dec 2 2005

US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts (Washington DC Annual Issues) table 1 available at httpwww-nrdnhtsadotgovcatsindexaspx as of October 2008

Railroad

US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-11985-90 Ibid Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table S

RailHighway-rail grade crossings

1960-70 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development Rail-Highway Grade-Crossing Accidents (Washington DC Annual issues)1975-80 Ibid Office of Policy and Program Development personal communication

On-demand air taxi1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 61

1985-2006 Ibid personal communication Sept 4 2007

Passenger car motorcycle light truck large truck and bus

Highway

General aviation

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

2007 National Transportation Safety Board Aviation Accident Statistics Table 10 available at httpwwwntsbgovaviationStatshtm as of August 2008

1985-2006 Ibid personal communication Sept 4 2007

1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1980 NTSBARC-8301 (Washington DC January 1983) tables 26 and 40

1965-70 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1975 NTSBARC-771 (Washington DC January 1977) 1960 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1967 (Washington DC December 1968)

SOURCESAir

1970-2007 US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety Accident and Incident Summary Statistics by Year available at httpopsdotgov as of November 2008

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of September 4 2007Hazardous liquid and gas pipeline

Recreational boating

WaterVessel-related

1970-91 US Department of Transportation US Coast Guard Office of Investigations and Analysis Compliance Analysis Division personal communication Apr 13 19991992-2006 US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication June 8 2005

2006-2007 US Department of Transportation Research and Innovative Technology Administration Volpe Center Transit Safety and Security Statistics and Analysis Program personal communication Oct 20 2008

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-1

Transit

1990-92 US Department of Transportation Federal Transit Administration Safety Management Information Statistics 2000 (Washington DC 2000) pp 51-54 and personal communication July 28 2003

2000-2007 Ibid available at httpsafetydatafradotgovofficeofsafetyDefaultasp as of November 2008

1993-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) available at httptransit-safetyvolpedotgovdataSAMISasp as of Sept 4 2007

Highway-rail grade crossingsUS Department of Transportation Federal Transit Administration Office of Program Management personal communication as of Sept 4 2007

Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number PercentTOTAL of all modesa 44084 1000 44384 1000 44941 1000 (R) 45297 1000 (R) 45101 1000 (R) 44985 1000 (R) 45565 1000 (R) 44974 1000 43032 1000Passenger car occupants 20862 473 20699 466 20320 452 20569 454 19725 437 19192 427 18512 406 (R) 17925 399 16520 384Light-truck occupants 11265 256 11526 260 11723 261 12274 271 12546 278 12674 282 13037 286 (R) 12761 284 12413 288Pedestrians struck by motor vehicles 4939 112 4763 107 4901 109 4851 107 4774 106 4675 104 4892 107 (R) 4795 107 4654 108Motorcyclists 2483 56 2897 65 3197 71 3270 72 3714 82 4028 90 4576 100 (R) 4837 108 5154 120Large-truck occupants 759 17 754 17 708 16 689 15 726 16 766 17 804 18 805 18 802 19Pedalcyclists struck by motor vehicles 754 17 693 16 732 16 665 15 629 14 727 16 786 17 (R) 772 17 698 16Recreational boating 734 17 701 16 681 15 750 17 703 16 676 15 697 15 710 16 685 16Other and unknown motor vehicle occupants 447 10 450 10 458 10 528 12 589 13 602 13 659 14 (R) 601 13 629 15General aviation 619 14 596 13 562 13 581 13 (R) 633 14 (R) 559 12 563 12 (P) 703 16 (P) 491 11Railroad trespassersb (excluding grade crossings) 479 11 463 10 511 11 540 12 (R) 498 11 (R) 472 10 (R) 458 10 (R) 511 11 469 11Other nonoccupants struck by motor vehiclesc 149 034 141 032 123 027 114 025 140 031 128 028 186 041 (R) 185 041 152 035Grade crossings not involving motor vehiclesd 57 013 64 014 76 017 47 010 53 012 82 018 (R) 75 016 64 014 73 017Air taxi 38 009 71 016 60 013 35 008 42 009 64 014 18 004 16 004 (P) 43 010Heavy rail transit (subway) 84 019 80 018 59 013 73 016 49 011 59 013 35 008 32 007 30 007Waterborne transportation (nonvessel-related) 136 031 134 030 94 021 (R) 41 009 (R) 50 011 (R) 35 008 35 008 39 009 32 007Bus occupants (school intercity and transit) 59 013 22 005 34 008 45 010 41 009 42 009 58 013 27 006 37 009Waterborne transportation (vessel-related) 58 013 53 012 53 012 (R) 66 015 (R) 54 012 (R) 48 011 45 010 48 011 52 012Private grade crossings with motor vehicles 36 008 55 012 30 007 (R) 66 015 32 007 33 007 26 006 38 008 37 009Railroad employees contractors and volunteers on duty (excluding grade crossings) 31 007 22 005 23 005 22 005 20 004 25 006 28 006 19 004 21 005Light rail transit 17 004 30 007 21 005 13 003 17 004 22 005 19 004 13 003 20 005Railroad-related not otherwise specified (excluding grade crossings) 17 004 23 005 13 003 25 006 11 002 20 004 U U U U U UGas distribution pipelines 16 004 22 005 5 001 10 002 11 002 18 004 14 003 16 004 9 002Transit buses fatalities not related to accidentse 12 003 8 002 6 001 14 003 14 003 16 004 U U U U U UAir carriers 12 003 92 021 (h) 531 118 0 000 22 005 14 003 22 005 50 011 1 000Hazardous liquid pipelines 4 001 1 000 0 000 1 000 0 000 5 001 2 000 0 000 4 001Passengers on railroad trains (excluding grade crossings) 3 001 4 001 3 001 7 002 2 000 3 001 16 004 2 000 4 001Demand response transit fatalities not related to accidentse 0 000 0 000 2 000 0 000 3 001 0 000 U U U U U UCommuter air 12 003 5 001 13 003 0 000 2 000 0 000 2 000 2 000 (P) 0 000Gas transmission pipelines 2 000 15 003 2 000 1 000 1 000 0 000 0 000 3 001 2 000Other counts redundant with abovef

Large-truck occupants and nonoccupants 5380 NA 5282 NA 5111 NA 4939 NA 5036 NA 5235 NA 5212 NA 4995 NA U NAPublic grade crossings with motor vehicles 309 NA 306 NA 315 NA 271 NA 249 NA 257 NA 256 NA 266 NA 263 NACommuter rail 95 NA 87 NA 87 NA 116 NA 77 NA 86 NA 105 NA U NA 70 NATransit buses accident-related fatalities 90 NA 82 NA 89 NA 64 NA 73 NA 61 NA U NA U NA U NAOutside planes in crashesg 5 NA 14 NA 11 NA 6 NA 6 NA 1 NA U NA U NA U NADemand response transit accident-related fatalities 1 NA 8 NA 3 NA 0 NA 1 NA 0 NA U NA U NA U NA

Table 2-4 Distribution of Transportation Fatalities by Mode20072006

d Public grade-crossing fatalities involving motor vehicles are included in counts for motor vehicles

2005

c Includes all nonoccupant fatalities except pedalcyclists and pedestrians

f Fatalities at grade crossings with motor vehicles are included under relevant motor vehicle modes Commuter rail fatalities are counted under railroad For transit bus and demand responsive transit accidents occupant fatalities are counted under bus and nonoccupant fatalities are counted under pedestrians pedalcyclists or other motor vehicle categories

a Includes fatalities outside the vehicle unless otherwise specifiedb Includes fatalities outside trains except at grade crossings

KEY NA = not applicable P = preliminary R = revised

e Fatalities not related to transit bus and demand responsive transit accidents are not included under highway submodes

20042003200220001999 2001

AirNational Transportation Safety Board Aviation Accident Statistics available at wwwntsbgovaviationStatshtm as of Sept 9 2008

h Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are excluded

g Includes nonoccupant fatalities resulting from aviation accidents

SOURCES

US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis (Washington DC Annual issues) and personal communications Apr 22 2005 Apr 24 2006Sept 5 2007 and Oct 30 2008

US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Pipeline Incidents and Mileage Reports available at httpopsdotgovstatsstatshtm as of Sept 19 2008

Waterborne transportationUS Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication Oct 16 2008Recreational boatingIbid Office of Boating Safety Boating Statistics (Washington DC Annual issues)Pipeline

RailroadUS Department of Transportation Federal Railroad Administration Office of Safety and Analysis FRA AccidentIncident and Inspections Query available at httpsafetydatafradotgovofficeofsafetyQueryDefaultasp as of Sep 9 2008 Transit

Highway1999-2005 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2006 (Washington DC Annual Issues) tables 4 and 11 available at httpwww-nrdnhtsadotgovcatsindexaspx as of Feb 14 20072006-2007 ibid FARS General Trends available at httpwww-farsnhtsadotgov as of Oct 27 2008

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006 2007Fatalities a1440 917 833 582 698 608 579 626 615 579 488 461 431 402 425 421 357 334 372 358 369 339Injured persons 3272 3860 3890 2687 2407 2094 1975 1837 1961 1894 1610 1540 1303 1396 1219 1157 999 1035 (R) 1094 (R) 1046 1054 1003Accidents

a3559 12126 10796 7073 5715 5388 4910 4892 4979 4633 4257 3865 3508 3489 3502 3237 3077 2977 (R) 3078 (R) 3056 2934 2741

The Federal Railroad Administration recommended we no longer report property damage statistics as we had done in previous editions of NTS due to inconsistencies in the reporting of data

Table 2-5 Highway-Rail Grade-Crossing Safety

SOURCES

1970 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) tables S and 111970-2006 Ibid Internet site httpsafetydatafradotgovOfficeofSafety as of Apr 15 2008

KEY R = revised a 1970 data are not comparable to later years due to a change in the reporting system

NOTE

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total fatalities 27 19 8 8 10 16 15 11 7 120 12 13 9 16 12 10 15 16 34 6

Accident-related 21 14 7 7 10 15 14 11 6 7 10 8 7 11 8 9 9 15 29 6Air fatalities 0 0 0 0 0 0 0 0 0 110 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Highway fatalities 27 17 8 8 10 16 15 11 7 8 12 13 9 16 9 9 15 13 24 6

Accident-related 21 12 7 7 10 15 14 11 6 5 10 8 7 11 8 8 9 12 19 6Rail fatalities 0 2 0 0 0 0 0 0 0 2 0 0 0 0 3 1 0 3 10 0

Accident-related 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 3 10 0Watera fatalities 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb fatalities 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Total injured persons 648 626 253 423 439 604 627 577 400 1175 221 195 265 251 168 136 119 288 (R) 950 233

Accident-related 168 47 16 18 40 98 62 111 18 864 16 13 15 16 12 15 16 96 (R) 700 13Air injured persons 5 8 4 39 31 23 50 57 33 33 24 20 12 5 13 4 1 11 78 2

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Highway injured persons 527 493 195 311 333 465 511 425 296 216 152 151 218 164 109 118 105 155 (R) 179 192

Accident-related 156 43 9 9 27 34 61 95 14 22 11 9 15 15 12 14 16 12 (R) 45 11Rail injured persons 99 121 53 73 75 116 66 95 71 926 45 22 35 82 46 14 13 122 (R) 693 24

Accident-related 12 4 7 9 13 64 1 16 4 842 5 4 0 1 0 1 0 84 655 2Watera injured persons 2 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 15

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb injured persons 15 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Total incidents 10951 15719 6019 8879 9110 9393 12838 16105 14853 14077 14065 15495 17616 17557 17792 15114 15156 14846 (R) 15929 (R) 20338

Accident-related 440 486 364 297 303 283 266 296 303 338 320 332 398 394 413 362 342 329 382 (R) 356Air incidents 147 223 114 297 299 414 622 931 817 925 1029 1387 1582 1419 1083 732 750 993 1654 (R) 2411

Accident-related 0 0 0 0 0 1 0 0 0 0 1 3 2 3 2 2 0 0 9 7Highway incidents 10063 14161 4752 7296 7644 7843 11095 14011 12869 12034 11929 13108 14953 15063 15804 13502 13594 13071 (R) 13461 (R) 17155

Accident-related 330 347 302 249 249 245 217 244 253 294 267 277 331 329 357 319 300 283 322 (R) 305Rail incidents 694 1271 842 1279 1155 1128 1113 1157 1155 1112 1102 989 1073 1058 899 870 802 765 745 704

Accident-related 109 134 61 48 54 36 49 52 50 44 52 52 65 62 54 41 42 46 51 44Watera incidents 28 34 7 7 12 8 8 6 12 6 5 11 8 17 6 10 10 17 69 68

Accident-related 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb incidents 19 30 304 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 1 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Total property damage (current $ thousands)c 8090 10829 22993 32353 38351 36229 22817 44196 30900 46849 33533 46312 65369 78132 69442 58177 53597 63282 (R) 55908 (R) 70475

Accident-related 6051 6236 20268 24792 30184 28708 13179 25552 23602 37775 25318 37049 51710 62636 56546 41113 40824 44895 (R) 44077 (R) 56303Air property damage 89 123 123 142 77 99 88 178 100 87 336 267 286 272 309 109 100 188 198 671

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 42 50 61 0 0 0 0Highway property damage 5584 7324 12690 20190 29650 24130 19866 25253 22141 29257 24741 28669 34359 51030 47737 48076 49109 47537 (R) 40141 (R) 59006

Accident-related 3694 3782 10175 14132 23953 18350 11263 13539 16342 22315 17871 21597 23085 37837 36404 33529 37650 34701 (R) 31014 (R) 47080Rail property damage 2488 2952 10274 11952 8469 11857 2649 18673 8485 17385 8418 16362 30663 26547 21248 9745 4126 13901 15455 10740

Accident-related 2357 2357 10094 10660 6231 10233 1916 12014 7260 15460 7446 15452 28625 24756 20092 7524 3175 10195 13063 9222Watera property damage 61 505 32 70 154 143 213 92 174 120 38 1015 61 283 147 248 261 1655 114 59

Accident-related 0 81 0 0 0 125 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb property damage 35 35 144 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 03 156 lt01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

SOURCES1975-85 US Department of Transportation Research and Special Programs Administration Office of Hazardous Materials SafetyHazardous Materials Information System Database 1999

1993-2007 Ibid available at httphazmatdotgovpubsincdata10yearfrmhtm as of November 2008

1990 Ibid available at httphazmatdotgovpubsincdata10yearfrmhtm as of May 2 2000

1991-1992 Ibid available at httphazmatdotgovpubsincdata10yearfrmhtm as of June 14 2004

KEY R = revised

a Water category includes only nonbulk marine Bulk marine hazardous materials incidents are reported to the US Coast Guard and are not included

Table 2-6 Hazardous Materials Fatalities Injuries Accidents and Property Damage Data

Hazardous materials transportation incidents required to be reported are defined in the Code of Federal Regulations (CFR) 49 CFR 17115 17116 (Form F 58001) Hazardous materials deaths and injuries are caused by the hazardous material in commerce

b Other category includes freight forwarders and modes not otherwise specifiedc Property damage under $30000 is reported to the nearest $100 Property damage $30000 or greater is reported to the nearest $1000 therefore the components may not add to the totals

NOTES

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001h 2002 2003 2004 2005 2006 2007All occupational fatalities 6217 6331 6632 6275 6202 6238 6055 6054 5920 5915 5534 5575 5764 5734 (R) 5840 5488Transportation-related fatalities totalb 2484 2499 2762 2587 2601 2605 2645 2618 2573 2524 2385 2364 2490 2493 (R) 2459 2234

Highwayc 1158 1242 1343 1346 1346 1393 1442 1496 1365 1409 1373 1353 1398 1437 (R) 1356 1311Nonhighwayd 436 392 409 387 374 377 388 352 399 326 323 347 338 340 (R) 345 292Aircraft 353 282 426 283 324 261 224 228 280 247 194 211 231 149 (R) 217 167Pedestrian struck by vehiclee 346 365 391 388 353 367 413 377 370 383 356 337 378 391 (R) 379 342Water vehiclef 109 119 94 87 119 109 112 102 84 90 71 69 91 88 (R) 96 69Railwayg 66 86 81 82 74 93 60 56 71 62 64 43 50 83 (R) 65 48

As a percent of all occupational fatalitiesTransportation-related fatalities totalb 40 39 42 41 42 42 44 43 43 43 43 42 43 43 42 41

Highway 19 20 20 21 22 22 24 25 23 24 25 24 24 25 (R) 23 24Nonhighway 7 6 6 6 6 6 6 6 7 6 6 6 6 6 (R) 6 5Aircraft 6 4 6 5 5 4 4 4 5 4 4 4 4 3 (R) 4 3Pedestrian struck by vehicle 6 6 6 6 6 6 7 6 6 6 6 6 7 7 (R) 6 6Water vehicle 2 2 1 1 2 2 2 2 1 2 1 1 2 2 (R) 2 1Railway 1 1 1 1 1 1 1 1 1 1 1 1 1 1 (R) 1 1

Table 2-7 Transportation-Related Occupational Fatalitiesa

US Department of Labor Bureau of Labor Statistics Census of Fatal Occupational Injuries (CFOI) available at httpwwwblsgovnewsreleasecfoitochtm as of Sep 2008

a Based on the 1992 Bureau of Labor Statistics Occupational Injury and Illness Classification Manualb Numbers may not add to totals because transportation categories may include subcategories not shown separately

c Includes collisions between vehiclesmobile equipment moving in the same or opposite directions such as in an intersection between moving and standing vehiclesmobile equipment at the side of a roadway or a vehicle striking a stationary object Also includes noncollisions eg jack-knifed or overturned vehiclemobile equipmentndashno collision ran off highwayndashno collision struck by shifting load sudden start or stop not elsewhere classified d Refers to farms and industrial premises Includes collisions between vehiclesmobile equipment vehiclesmobile equipment striking a stationary object Also includes noncollisions such as a fall from a moving vehiclemobile equipment fall from and struck by vehiclemobile equipment overturned vehiclemobile equipment and loss of control of vehiclemobile equipment e Includes worker struck by vehiclemobile equipment in roadway on side of road in a parking lot or nonroad area

Percentages may not add to totals due to rounding

The above categories do not define the types of jobs people had nor the industries in which they worked The categories define the ways in which they died For example a representative traveling for business reasons who is killed in a rail accident would be listed under rail

f Includes collisions explosions fires fall from or on shipboat and sinkingcapsized water vehicles involved in transportation Does not include fishing boats

SOURCE

KEY R = revised

h Data do not include fatalities from the terrorist attacks of September 11 which totaled 2886

NOTES

g Includes collisions between railway vehicles railway vehicle and other vehicle railway vehicle and other object and derailment

Modal administration Reporting thresholdFederal Aviation Administration More than $25000 damage to property other than the aircraft

Federal Highway Administration None each state defines its own threshold and FHWA collects state reports

Federal Railroad Administration More than $7700 in damages to railroad on-track equipment signals track track structures and roadbed for accidents other than at grade-crossings No threshold for grade-crossing accidents

National Highway Traffic Safety Administration None property-damage-only crashes are recorded through the General Estimates System a nationally representative sample of police-reported crashes of all

itiFederal Transit Administration More than $7500

Pipeline and Hazardous Materials Safety Administration More than $50000 for gas pipelinesMore than $50000 for hazardous liquid pipelines

U S Coast Guard More than $25000 for commercial vesselsMore than $2000 or complete loss of vessel for recreational boats

Recreational boating 33 CFR 17355 (as of Nov 23 2007)

Federal Railroad Administration 49 CFR 22519 (as of Nov23 2007)

Federal Transit Administration US Department of Transportation Federal Transit Administration National Transit Database Safety and Security Reporting Manual (Washington DC 2004) Internet site httpwwwntdprogramcomntdprogramsafetyhtm as of dec 6 2007

Pipeline and Hazardous Materials Safety AdministrationGas pipeline 49 CFR 1913 (as of Nov 23 2007)

National Highway Traffic Safety Administration US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2005 DOT HS 809 775 (Washington DC 2005)

Hazardous liquid pipelines 49 CFR 19550 (as of Nov 23 2007)US Coast GuardCommercial shipping 46 CFR 405-1 (as of Nov23 2007)

SOURCESFederal Aviation Administration 49 CFR 8305 (as of Nov 23 2007)

Table 2-8 Reporting Thresholds for Property Damage by US Department of Transportation Modal Administrations

Federal Highway Administration US Department of Transportation Federal Highway Administration personal communication Dec 2007

Section BAir

1960 1965 1970 1975 1980 1985 1990 1991b 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001c 2002 2003 2004 2005 (R) 2006 2007Total fatalities 499 261 146 124 1 526 39 50 33 1 239 168 380 8 1 12 92 531 0 22 14 22 50 1Total seriously injured persons N N 107 81 19 30 29 26 22 19 31 25 77 43 30 67 29 19 (R) 24 (R) 31 (R) 20 (R) 14 9 15Total accidents 90 83 55 37 19 21 24 26 18 23 23 36 37 49 50 51 56 46 41 54 30 40 33 26Fatal accidents 17 9 8 3 1 7 6 4 4 1 4 3 5 4 1 2 3 6 0 2 2 3 2 1Aircraft-miles (millions) 1130 1536 2685 2478 2924 3631 4948 4825 5039 5249 5478 5654 5873 6697 6737 7101 7524 7294 7193 7280 7930 8166 8139 8140Rates per 100 million aircraft-milesFatalities 44159 16992 5438 5004 0034 14486 0788 1036 0655 0019 4363 2971 6470 0119 0015 0169 1223 7280 0000 0302 0177 0269 0614 0012Seriously injured persons N N 3985 3269 0650 0826 0586 0539 0437 0362 0566 0442 1311 0642 0445 0943 0385 0260 (R) 0334 (R) 0426 (R) 0252 (R) 0171 0111 0184Total accidents 7965 5404 2048 1493 0650 0578 0485 0539 0357 0438 0420 0637 0630 0732 0742 0718 0744 0631 0570 0742 0378 0490 0405 0319Total accidents fatal 1504 0586 0298 0121 0034 0193 0121 0083 0079 0019 0073 0053 0085 0060 0015 0028 0040 0082 0000 0027 0025 0037 0025 0012Aircraft departures (thousands) N N N N 5479 6307 8092 7815 7881 8073 8238 8457 8229 10318 10980 11309 11468 10955 10508 10433 11023 11130 10821 10900Rates per 100000 aircraft departuresFatalities N N N N 0018 8340 0482 0640 0419 0012 2901 1986 4618 0078 0009 0106 0802 4847 0000 0211 0127 0198 0462 0009Seriously injured persons N N N N 0347 0476 0358 0333 0279 0235 0376 0296 0936 0417 0273 0592 0253 0173 (R) 0228 (R) 0297 (R) 0181 (R) 0126 0083 0138Total accidents N N N N 0347 0333 0297 0333 0228 0285 0279 0426 0450 0475 0455 0451 0488 0420 0390 0518 0272 0359 0305 0239Total accidents fatal N N N N 0018 0111 0074 0051 0051 0012 0049 0035 0061 0039 0009 0018 0026 0055 0000 0019 0018 0027 0025 0012Flight hours (thousands) N 4691 6470 5607 7067 8710 12150 11781 12360 12706 13124 13505 13746 15838 16817 17555 18299 17814 17290 17468 18883 19390 19263 19305Rates per 100000 flight hoursFatalities N 5564 2257 2212 0014 6039 0321 0424 0267 0008 1821 1244 2764 0051 0006 0068 0503 2981 0000 0126 0074 0113 0260 0005Seriously injured persons N N 1654 1445 0269 0344 0239 0221 0178 0150 0236 0185 0560 0271 0178 0382 0158 0107 (R) 0139 (R) 0177 (R) 0106 (R) 0072 0047 0078Total accidents N 1769 0850 0660 0269 0241 0198 0221 0146 0181 0175 0267 0269 0309 0297 0291 0306 0258 0237 0309 0159 0206 0171 0135Total accidents fatal N 0192 0124 0054 0014 0080 0049 0034 0032 0007 0030 0022 0036 0025 0006 0011 0016 0034 0000 0011 0011 0015 0010 0005

1975 (all categories except miles) Ibid Calendar Year 1983 NTSBARC-8701 (Washington DC February 1987) table 18 1975 (miles) Ibid Calendar Year 1975 NTSBARC-771 (Washington DC January 1977 )

1990-2007 Ibid Analysis and Data Division personal communication as of November 2008

1980 Ibid Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) tables 2 and 16 1985-2007 Ibid National Transportation Safety Board Aviation Accident Statistics available at httpwwwntsbgovaviationStatshtm as of December 2008Serious injuries1970-85 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations (Washington DC Annual issues)

SOURCESFatalities accidents miles departures and flight hours1960 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1967 (Washington DC December 1968) 1965-70 Ibid Calendar Year 1975 NTSBARC-771 (Washington DC January 1977)

c Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are excluded

NOTESMiles departures and flight hours are compiled by the US Department of Transportation Federal Aviation Administration Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of miles departures or flight hours These figures are based on information provided by airlines to the US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information

KEY N = data do not exist R = revised

a Air carriers operating under 14 CFR 121 scheduled and nonscheduled service Includes all scheduled and nonscheduled service accidents involving all-cargo carriers and commercial operators of large aircraft when those accidents occurred during 14 CFR 121 operations Since Mar 20 1997 14 CFR 121 includes aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent data b Does not include the 12 persons killed aboard a SkyWest commuter aircraft when it and a US Air aircraft collided

Table 2-9 US Air Carriera Safety Data

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatalitiesd 37 37 6 77 21 24 25 9 14 46 0 12 5 13 0 2 0 0 2 0

Total seriously injured persons 14 14 11 31 7 2 6 17 2 1 2 2 7 4 0 1 0 0 1 0

Total accidentse 38 18 15 23 23 16 10 12 11 16 8 13 12 7 7 2 4 6 3 3

Total accidents fatal 8 7 3 8 7 4 3 2 1 5 0 5 1 2 0 1 0 0 1 0Aircraft-miles (millions) 192 301 450 434 508 555 594 550 591 246 51 52 45 43 42 47 47 46 (R) 47 47Rates per 100 million aircraft-milesFatalitiesb 1927 1230 133 1775 413 433 421 164 237 1870 000 2290 1113 3016 000 422 000 000 (R) 430 000Seriously injured persons 729 465 244 714 138 036 101 309 034 041 394 382 1558 928 000 211 000 000 (R) 215 000Total accidentsbc 1979 598 333 530 433 289 168 218 186 650 1576 2481 2670 1624 1681 422 855 1312 (R) 645 644Total accidentsbc fatal 417 233 067 184 138 072 050 036 017 203 000 954 223 464 000 211 000 000 (R) 215 000Aircraft departures (thousands) 1777 2561 3160 2820 3115 3602 3581 3220 3515 1394 707 672 604 558 513 572 538 527 (R) 568 570Rates per 100 thousand aircraft departuresFatalitiesb 208 144 019 273 067 067 070 028 040 330 000 178 083 233 000 035 000 000 (R) 035 000Seriously injured persons 079 055 035 110 022 006 017 053 006 007 028 030 116 072 000 017 000 000 (R) 018 000Total accidentsc 214 070 047 082 071 044 028 037 031 115 113 193 199 125 136 035 074 114 (R) 053 053Total accidentsc fatal 045 027 009 028 022 011 008 006 003 036 000 074 017 036 000 017 000 000 (R) 018 000Flight hours (thousands) 1176 1737 2342 2292 2335 2638 2784 2628 2757 983 354 343 370 300 274 319 302 (R) 300 (R) 301 302

Rates per 100 thousand flight hoursFatalities 315 213 026 336 090 091 090 034 051 468 000 350 135 433 000 063 000 (R) 000 (R) 066 000Seriously injured persons 119 081 047 135 030 008 022 065 007 010 057 058 189 133 000 031 000 (R) 000 (R) 033 000Total accidentsc 323 104 064 100 094 061 036 046 040 163 226 379 325 233 256 063 132 (R) 200 (R) 100 099Total accidentsc fatal 068 040 013 035 030 015 011 008 004 051 000 146 027 067 000 031 000 (R) 000 (R) 033 000

Table 2-10 US Commuter Air Carriera Safety Data

1990-2007 Analysis and Data Division personal communications Nov 15 2002 June 9 2003 Apr 23 2004 Apr 4 2005 Apr 21 2006 Apr 18 2007 and Apr 24 2008

KEY R = revised

c Rates are based on all accidents including some that involve operators not reporting mileage or other traffic data to the US Department of Transportation

NOTES

Miles departures and hours are compiled by the US Department of Transportation Federal Aviation Administration Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of miles departures or flight hours These figures are based on information provided by airlines to the US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information

1980 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1980 NTSBARC-8301 (Washington DC January 1983) tables 26 and 40

1985-2007 Ibid Internet site wwwntsbgovaviationTable 8htm as of Apr 23 2008

1980-85 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations (Washington DC Annual issues)

Serious injuries

e An attempted suicide case in 1992 is included in accidents but excluded in accident rates in this table

SOURCESFatalities accidents aircraft-miles aircraft departures and flight hours

2007 data are preliminary a Air carriers operating under 14 CFR 135 scheduled service Includes accidents involving all-cargo air carriers when those accidents occurred during scheduled 14 CFR 135 operations Before Mar 20 1997 14 CFR 135 applied to aircraft with 30 or fewer seats Since Mar 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data with more recent years datab Data updated by rounding to two significant digits instead of one

d Total fatalities for 1991 on US air carriers oprating under 14 CFR 135 scheduled service do not include the 22 persons killed aboard alarge-certificated aircraft when it colllided with a commuter aircraft

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatal accidents 6 4 4 1 4 3 5 4 1 2 3 6 0 2 2 3 2 1Phase of operationApproach descent landing 1 2 1 0 2 0 0 0 0 1 0 0 0 0 2 (R) 1 0 0Taxitakeoff climb 3 1 2 0 1 0 3 2 0 0 2 2 0 1 0 (R) 1 (R) 1 0Cruise (in-flight) 1 0 0 0 0 0 1 1 0 0 1 4c 0 0 0 0 0 0Standing (static) 1 1 1 1 0 0 0 0 1 1 0 0 0 1 0 1 (R) 1 0Maneuvering 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0Other not reported 0 0 0 0 0 3 1 1 0 0 0 0 0 0 0 (R) 0 (R) 0 1

2007 data are preliminary

Table 2-11 US Air Carriera Fatal Accidents by First Phase of Operationb

KEY R= revised

a 14 CFR 121 Before Mar 20 1997 14 CFR 121 applied only to aircraft with more than 30 seats or a maximum payload capacity of more than 7500 pounds Since Mar 20 1997 14 CFR 121 includes aircraft with 10 or more seats that formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data with more recent data

National Transportation Safety Board personal communications Jul 6 2004 Apr 5 2005 Apr 25 2006 Apr 18 2007 and Apr 23 2008

b First phase of operation is the phase of flight in which the first occurrence leading to the accident happenedc Cruise (in-flight) numbers for 2001 are unusually high because of the incidents occurring on September 11

SOURCE

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL fatal accidents 3 8 7 4 3 2 1 5 0 5 1 2 0 1 0 0 1 0Phase of operation Approach descent landing 0 3 5 1 2 0 1 2 0 0 1 0 0 1 0 0 0 0Taxitakeoff climb 0 0 1 1 0 1 0 1 0 2 0 2 0 0 0 0 0 0Cruise (in-flight) 2 2 1 1 1 0 0 0 0 3 0 0 0 0 0 0 0 0Standing (static) 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0Maneuveringb 1 1 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0Other not reported 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0

National Transportation Safety Board personal communications Jul 6 2004 Apr 5 2005 Apr 25 2006 Apr 18 2007 and Apr 25 2008

b Includes instructional flights performing turns and agricultural flights for spraying and buzzing (repeated passes over a particular location)

NOTEFirst Phase of Operation is the part of the flight where the problem leading to the accident first occurs

Table 2-12 US Commuter Air Carriera Fatal Accidents by First Phase of Operation

a 14 CFR 135 scheduled operations Before Mar 20 1997 14 CFR applied to aircraft with 30 or fewer seats Since Mar 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data with more recent years data

SOURCE

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatalities 69 105 76 51 78 68 42 63 52 63 39 45 38 71 60 35 42 64 18 16 43Total seriously injured persons N 43 44 36 26 19 24 32 14 22 23 10 15 12 24 16 12 17 23 16 20Total accidents 152 171 157 107 88 76 69 85 75 90 82 77 74 80 72 60 73 66 66 (R) 53 62Total accidents fatal 24 46 35 29 28 24 19 26 24 29 15 17 12 22 18 18 18 23 11 10 14Flight hours (thousands) 2526 3618 2570 2249 2241 2844 2324 2465 2486 3220 3098 3802 3204 3930 2997 2911 2927 3238 3815 (R) 3742 3668Rates per 100000 flight hoursb

Fatalities 273 290 296 227 348 239 181 256 209 196 126 118 119 181 200 120 143 198 047 (R) 043 117Seriously injured persons N 119 171 160 116 067 103 130 056 068 074 026 047 031 080 055 041 053 060 (R) 043 055Total accidents 602 473 611 476 393 267 297 345 302 280 265 203 231 204 240 206 249 204 173 (R) 142 169Total accidents fatal 095 127 136 129 125 084 082 105 097 090 048 045 037 056 060 062 061 071 029 (R) 027 038

b Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of flight hours

NOTEHours are estimated by the US Department of Transportation Federal Aviation Administration

Table 2-13 US On-Demand Air Taxia Safety Data

KEY N = data do not exist R = revised

a Air carriers operating under 14 CFR 135 nonscheduled service Accidents on foreign soil and in foreign waters are excluded

1990-2006 Ibid Analysis and Data Division personal communications Nov 15 2002 June 9 2003 Apr 23 2004 Apr 4 2005 Apr 24 2006 and Apr 23 2008

1985-2006 IbidTable 9 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008

SOURCESFatalities and accidents1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 61

Flight hours1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 611985-2006 IbidTable 9 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008Serious injuries1980-85 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations (Washington DC Annual issues)

1960d 1965d 1970d 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatalities 787 1029 1310 1252 1239 956 770 800 867 744 730 735 636 631 625 619 596 562 581 (R) 630 559 563 (R) 703 491Total seriously injured persons N N 715 769 681 501 409 431 408 385 415 396 366 350 327 322 309 321 297 323 266 267 264 260Total accidentsb 4793 5196 4712 3995 3590 2739 2242 2197 2111 2064 2021 2056 1908 1844 1905 1905 1837 1727 1715 (R) 1715 (R) 1617 (R) 1670 (R) 1518 1631Total accidentsb fatal 429 538 641 633 618 498 444 439 451 401 404 413 361 350 365 340 345 325 345 352 314 321 (R) 306 284Flight hours (thousands) 13121 16733 26030 28799 36402 28322 28510 27678 24780 22796 22235 24906 24881 25591 25518 29246 27838 25431 25545 25998 24888 23168 (R) 23963 23835Rates per 100000 flight hoursc

Fatalities 600 615 503 435 340 338 270 289 350 326 328 295 256 247 245 212 214 221 227 (R) 242 225 243 (R) 293 206Seriously injured persons N N 275 267 187 177 143 156 165 169 187 159 147 137 128 110 111 127 116 124 107 115 (R) 110 109Total accidentsa 3653 3105 1810 1387 986 (R) 963 (R) 785 (R) 791 (R) 851 (R) 903 (R) 908 (R) 821 (R) 765 (R) 719 (R) 744 (R) 650 (R) 657 (R) 678 (R) 669 (R) 668 (R) 649 (R) 720 (R) 633 684Total accidents fatala 327 322 246 220 170 (R) 174 (R) 155 (R) 157 (R) 182 (R) 174 (R) 181 (R) 163 (R) 145 (R) 136 (R) 141 (R) 116 (R) 121 (R) 127 (R) 133 (R) 134 (R) 126 (R) 138 (R) 127 119

Flight hours

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21

1985-2007 IbidTable 10 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008

1990-2006 Ibid Analysis and Data Division personal communications Nov 15 2002 June 9 2003 Apr 23 2004 Apr 4 2005 Apr 24 2006 Apr 18 2007 and Apr 23 2008

1985-2007 IbidTable 10 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008Serious injuries

1970-85 National Transportation Safety Board Annual Review of Aircraft Accident Data General Aviation (Washington DC Annual issues)

NOTEFlight hours are estimated by the US Department of Transportation Federal Aviation Administration

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21

SOURCESFatalities and accidents

Table 2-14 US General Aviationa Safety Data

KEY N = data do not exist R = revised

a US registered civil aircraft not operated under 14 CFR 121 or 14 CFR 135 Accidents on foreign soil and in foreign waters are excluded Suicide sabotage and stolenunauthorized cases included in accidents and fatalities but excluded from accident rates in this table are 1985 (11 accidents 6 fatal accidents) 1990 (41) 1991 (85) 1992 (21) 1993 (54) 1994 (32) 1995 (106) 1996 (40) 1997 (52) 1998 (64) 1999 (31) 2000 (77) 2001 (31) 2002 (76) 2003 (43) 2004 (30) 2005 (21) 2006 (21) 2007 (00) b Since April 1995 the National Transportation Safety Board has been required by law to investigate all public-use accidents increasing the number of NTSB reported general aviation accidents by approximately 175c Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of flight hours Except for the exclusions mentioned in footnote a d Data for 1960 1965 and 1970 include air taxi

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total all degrees of hazard 568 758 454 348 311 254 275 238 194 238 211 257 239 211 180 162 145 138 105 109Criticala 118 180 74 52 46 35 47 32 26 31 22 28 30 37 26 15 16 14 5 11Potentialb 319 423 266 197 195 158 139 139 101 105 100 110 130 96 85 88 62 75 53 47No hazardc 122 133 114 99 70 61 71 63 55 70 53 55 49 51 42 38 31 20 16 18Unclassifiedd 9 22 0 0 0 0 18 4 12 32 36 64 30 27 27 21 36 29 31 33NMAC involving aircraft operating under 14 CFR 121e

U U 136 117 76 60 71 50 56 82 70 66 75 48 53 51 41 41 24 22

2006 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Apr16 2008

2005 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 2 2006

All data except NMAC involving 121 aircraft

b An incident that would probably have resulted in a collision if no action had been taken by either pilot Less than 500 feet would usually be required in this case

2006 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Apr 16 2008

1980-85 US Department of Transportation Federal Aviation Administration Aviation Safety Statistical Handbook Annual Report (Washington DC Annual issues) and personal communication Aug 6 2002

1990-2002 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Mar 30 20052003-04 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 28 2005

1990-2002 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Mar 30 20052003-04 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 28 2005

NMAC involving 121 aircraft

2005 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 2 2006

1980-85 US Department of Transportation Federal Aviation Administration Air Traffic Resource Management personal communication Aug 6 2002

Table 2-15 Number of Pilot-Reported Near Midair Collisions (NMAC) by Degree of Hazard

SOURCES

d No determination could be made due to insufficient evidence or unusual circumstances or because incident is still under investigatione Before Mar 20 1997 14 CFR 121 applied only to aircraft with more than 30 seats or a maximum payload capacity of more than 7500 pounds Since Mar 20 1997 14 CFR 121 includes aircraft with 10 or more seats that formerly operated under 14 CFR 125 This change makes it difficult to compare pre-1997 data with more recent years data

NOTE

NMACs are reported voluntarily to the FAA so these numbers may not be representative Reporters consist of pilots of air carriers general aviation and other aircraft involved in public-use operations Incidents involving military aircraft may be included if they also involved a civilian aircraft

KEY R = revised U = data are not available

a A situation where collision avoidance was due to chance rather than an act on the part of the pilot Less than 100 feet of aircraft separation would be considered critical

c When direction and altitude would have made a midair collision improbable regardless of evasive action taken

Table 2-16a Airlinea Passenger Screening Results by Type of Weapons Detected Persons Arrested and Bomb Threats Received1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001

Persons screened (millions) 585 993 1145 1015 1111 1150 1261 1263 1497 1660 1667 1767 1812 U

TOTAL firearms detected 1914 2913 2549 1644 2608 2798 2994 2390 2155 2067 1515 1552 1937 U

Firearms handguns 1878 2823 2490 1597 2503 2707 2860 2230 1999 1905 1401 1421 1643 U

Firearms long guns 36 90 59 47 105 91 134 160 156 162 114 131 294 U

Other other dangerous articlesb 108 74 304 275 N N N N N N N N N N

Explosive incendiary devices 8 12 15 94 167 251 N N N N N N N N

Persons arrested

Carrying firearms explosives 1031 1310 1336 893 1282 1354 1433 1194 999 924 660 633 600 U

Giving false information 32 42 18 28 13 31 35 68 131 72 86 58 61 U

Bomb threats received

Against airports 1179 477 448 498 188 304 250 346 N N N N N N

Against aircraft 268 153 338 388 215 248 218 327 N N N N N N

KEY N = data do not exist U = unavailable

a Includes operators with a US Department of Transportation Federal Aviation Administration operating certificate engaged in scheduled passenger or public charter passenger operations and airports at which these operations are conductedb In 1980 and 1985 the other category was included with firearms in 1990 other became other dangerous articles

NOTESBeginning in 1996 the Office of Civil Aviation Security Policy and Planning stopped keeping records of bomb threats received due to inconsistent reporting The reporting of other other dangerous articles was discontinued in 1992 and reporting of explosive incendiary devices was discontinued in 1994 for the same reasons

SOURCESPersons screened type of weapon detected and persons arrested1980-85 US Department of Transportation Federal Aviation Administration Semiannual Report to Congress on the Effectiveness of the Civil Aviation Security Program July 1-December 31 1985 (Washington DC May 1986)1990-2000 Ibid Office of Civil Aviation Security Policy and Planning Annual Report to Congress on Civil Aviation Security (Washington DC Annual issues) and personal communications May 27 1999 Mar 29 2000 and Aug 7 2001Bomb threats receivedUS Department of Transportation Federal Aviation Administration Criminal Acts Against Civil Aviation (Washington DC Annual issues)

Table 2-16b Prohibited Items Intercepted at Airport Screening Checkpoints2002a

2003 2004 (R) 2005 2006 2007Enplanements (R) 554046622 (R) 587535022 (R) 634426165 659600540 655144131 673248973Total prohibited items 3775345 6114612 7089599 15887596 13711759 6516022

Firearms 927 683 650 2217 2075 1416Knives 1036697 1961849 2058652 1822752 1607125 1056687Box cutters 32788 20991 22350 21315 15999 11908Other cutting instruments 1846207 2973413 3567731 3276691 163419 101387Clubs 11131 25139 28813 20531 12296 9443Incendiaries 79341 494123 693649 398830 113700 89623Other 768254 638414 717754 10345260 11797145 5245558

KEY R = revised

a All data except enplanements for April though December

SOURCESAll data except enplanements

US Department of Homeland Security Transportation Security Administration personal communication as of October 2008EnplanementsUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information T-100 Domestic Market Data

Section CHighway

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Fatalities 36399 47089 52627 44525 51091 43825 44599 41508 39250 40150 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 (R) 43510 42642Injured personsE N N N N N N 3230666 3096870 3069603 3149164 3265928 3465279 3483319 3347614 3192035 3236238 3188750 3032672 2926000 2889000 2788000 2699000 2575000CrashesE N N N N N N 6471202 6117359 6000310 6105915 6495988 6699415 6769583 6624149 6334573 6279036 6393624 6322896 6316000 6328000 6181000 6159000 5973000Vehicle-miles (millions) 718763 887811 1109724 1327664 1527295 1774827 2144362 2172050 2247151 2296378 2357588 2422696 2485848 2561695 2631522 2691056 2746925 2797287 2855508 2890450 2964788 (R) 2989430 3014116Rates per 100 million vehicle-milesFatalities 51 53 47 34 33 25 21 19 17 17 17 17 17 16 16 16 15 15 15 15 14 (R) 15 14Injured personsE N N N N N N 151 143 137 137 139 143 140 131 121 120 116 108 102 100 94 (R) 90 85CrashesE N N N N N N 302 282 267 266 276 277 272 259 241 233 233 226 221 219 208 (R) 206 198

Table 2-17 Motor Vehicle Safety Data

KEY E = estimated N = data do not exist R = revised

SOURCES

Fatalities

1960-70 Estimated by US Department of Transportation National Highway Traffic Safety Administration from data supplied by US Department of Health and Human Services National Center for Health Statistics and individual state accident reports (adjusted to 30-day deaths) Fatalities data prior to 1975 have been adjusted to reflect the Fatality Analysis Reporting Systems definition of a fatal crash as one that involves a motor vehicle on a trafficway which results in the death of a vehicle occupant or a nonmotorist within 30 days of the crash1975-2006 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC December 2006) table 2Injured persons 1990-2001 Ibid Traffic Safety Facts 2002 DOT HS 809 620 (Washington DC January 2004) table 22002-06 Ibid Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC December 2006) table 2Crashes1990-2006 Ibid Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC December 2006) table 11960-65 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201AVehicle-miles1970-2006 US Department of Transportation Federal Highway Administration Highway Statistics 2006 (Washington DC 2006) table VM1 and similar tables in earlier editions Fatality injury and crash rates

Calculated by US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006FatalitiesRural total 29545 24492 25786 23978 24510 24889 24751 25185 23640 23396 25693 25203 24740 23549 23099

Interstate 2263 2141 2707 2675 2905 3033 3105 3244 3199 3105 3297 3241 3246 3216 2870Other arterialsa 12268 9940 9893 9947 9458 9821 9594 9573 8913 8692 9358 9823 10061 8968 8768Collectorb 10004 8209 8852 7401 7481 7578 7593 7595 7147 7305 7974 7726 7353 7154 7242Local 5010 4202 4334 3955 4666 4457 4459 4773 4381 4294 5064 4413 4080 4211 4219

Urban total 21546 19333 18813 17839 17555 17078 16143 15970 15695 15219 16759 16825 17161 17752 18309Interstate 2184 2025 2252 2154 2323 2281 2283 2353 2388 2371 2452 2374 2516 2658 2619Other arterialsa 12752 12521 11742 10916 10756 10243 9902 9628 9442 8838 9702 9827 10003 10413 10672Collector 2226 1696 1427 1441 1290 1399 1037 1031 987 1007 1136 1197 1339 1361 1478Local 4384 3091 3392 3328 3186 3155 2921 2958 2878 3003 3469 3427 3303 3320 3540

Vehicle-miles of travel (VMT) (millions)Rural total 672030 730728 868878 933289 960194 999277 1032528 1062623 1084961 1105083 1128160 1085385 1070248 1037937 1037069

Interstate 135084 154357 200173 223382 232565 240255 251520 260166 268960 274024 279962 269945 266996 258790 257913Other arterialsa 262774 282803 330866 368595 378847 392057 403484 413320 420569 426945 433805 416596 409944 398932 394499Collectorb 189468 206669 240460 236148 241030 254100 257868 264453 267521 270962 275007 263662 260931 251587 251375Local 84704 86899 97379 105164 107752 112865 119656 124684 127911 133152 139386 135182 132377 128628 133282

Urban total 855265 1044098 1275484 1489534 1523886 1552956 1595620 1627618 1664842 1676379 1727596 1805508 1892265 1951870 1977047Interstate 161242 216188 278901 341528 351579 361433 374622 383259 393580 399890 408618 432633 454385 469070 477283Other arterialsa 484189 578270 699233 815170 834623 846627 862996 878153 900161 913726 937357 973936 1020089 1048219 1060098Collector 83043 89578 106297 126929 129310 130146 131905 131603 135371 137922 141874 153751 162108 168038 173210Local 126791 160062 191053 205907 208374 214750 226097 234603 235730 224841 239747 245188 255683 266543 266456

Fatality rates per 100 million vehicle milesRural total 440 335 297 257 255 249 240 237 218 212 228 232 231 227 223

Interstate 168 139 135 120 125 126 123 125 119 113 118 120 122 124 111 Other arterialsa 467 351 299 270 250 250 238 232 212 204 216 236 245 225 222 Collectorb 528 397 368 313 310 298 294 287 267 270 290 293 282 284 288 Local 591 484 445 376 433 395 373 383 343 322 363 326 308 327 317

Urban total 252 185 147 120 115 110 101 098 094 091 097 093 091 091 093 Interstate 135 094 081 063 066 063 061 061 061 059 060 055 055 057 055 Other arterialsa 263 217 168 134 129 121 115 110 105 097 104 101 098 099 101 Collector 268 189 134 114 100 107 079 078 073 073 080 078 083 081 085 Local 346 193 178 162 153 147 129 126 122 134 145 140 129 125 133

Fatality rates

Calculated by the US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics

Fatalities1980-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC July 1997) table FI-220 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 20091996-97 Ibid Highway Statistics (Washington DC Annual issues) table FI-1 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 20091998-2007 Ibid Highway Statistics (Washington DC Annual issues) table FI-20 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

1980-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC July 1997) table VM-202 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 20091996-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-2 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

Table 2-18 Motor Vehicle Fatalities Vehicle-Miles and Associated Rates by Highway Functional System

a Urban other arterials is the sum of other freeways and expressways other principal arterials and minor arterials Rural other arterials is the sum of other principal arterials and minor arterials

Vehicle miles

b Rural collector is the sum of major and minor collectors

NOTESIncludes the 50 states and the District of Columbia Fatality numbers reflect original numbers received by FHWA from NHTSA Thus the fatality numbers in this table could be slightly different from the revised NHTSA numbers that appear in other tables in this volume

SOURCES

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total traffic fatalities 44525 51091 43825 44599 41508 39250 40150 40716 41817 (f) 42065 42013 41501 41717 41945 42196 43005 42884 42836 (R) 43510 42642 Occupant fatalities (by vehicle type) 35925 41927 36043 37134 34740 32880 33574 34318 35291 35695 35725 35382 35875 36348 36440 37375 37341 (R) 37203 (R) 37574 36902 Passenger car total 25929 27449 23212 24092 22385 21387 21566 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 (R) 19091 (R) 18440 17800

Subcompacta 3834 7299 7993 8309 7694 7028 6968 7060 6791 6618 6838 6012 5504 5291 4886 4674 4073 3681 (R) 2979 2630 Compactb 614 927 2635 5310 5338 5354 5707 6322 6899 7288 7992 7589 7432 7525 7211 7348 7013 6807 (R) 6245 6044 Intermediatec 1869 3878 4391 4849 4681 4418 4483 4407 4666 4670 3308 3273 3556 4115 4426 4709 4857 4900 (R) 5548 5420 Fulld 10800 11580 6586 4635 4040 3796 3675 3560 3413 3417 3924 4303 4365 3744 3765 3775 3682 3603 (R) 3276 3277 Unknown 8812 3765 1607 989 632 791 733 648 654 512 137 17 5 24 32 63 100 100 (R) 392 429

Trucke total 5817 8748 7666 9306 9052 8683 9116 9574 10216 10553 10972 11447 12024 12280 12431 12963 13272 13440 (R) 13841 13526 Light 4856 7486 6689 8601 8391 8098 8511 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 (R) 13037 12721 Large 961 1262 977 705 661 585 605 670 648 621 723 742 759 754 708 689 726 766 (R) 804 805

Other vehicles total 4179 5730 5165 3736 3303 2810 2892 2747 2652 2637 2554 2741 2989 3369 3689 3843 4344 4672 (R) 5293 5576 Motorcycle 3189 5144 4564 3244 2806 2395 2449 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 (R) 4576 4810 Bus 53 46 57 32 31 28 18 18 33 21 18 38 59 22 34 45 41 42 58 27 Other unknown vehicle type 937 540 544 460 466 387 425 409 392 455 420 409 447 450 458 528 589 602 (R) 659 739

Nonoccupant fatalities total 8600 9164 7782 7465 6768 6370 6576 6398 6526 6368 6288 6119 5842 5597 5756 5630 5543 5532 (R) 5864 5740 Pedestrian 7516 8070 6808 6482 5801 5549 5649 5489 5584 5449 5321 5228 4939 4763 4901 4851 4774 4675 (R) 4892 4784 Pedalcyclist 1003 965 890 859 843 723 816 802 833 765 814 760 754 693 732 665 629 727 (R) 786 773 Other 81 129 84 124 124 98 111 107 109 154 153 131 149 141 123 114 140 130 (R) 186 183

2005 - 2006Ibid Traffic Safety Facts A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates SystemDOT HS 810 631and DOT HS 810 818 Table 75 Internet site httpwww-nrdnhtsadotgovPubsTSF2005PDF and httpwww-nrdnhtsadotgovPubsTSF2006PDFas of April 21 2008

1997-2004 Ibid Traffic Safety Facts Research Note Passenger Vehicle Occupant Fatality Rates by Type and Size of Vehicle DOT HS 809 979 (Washington DC 2006) table 4 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2006809979pdf as of Mar 25 2008

1975-96 Ibid personal communications Dec 18 2003 Nov 17 2004 and Mar 15 2005

1975-2006 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC 2006) table 4

Breakout of passenger car types

f Includes two fatalities that could not be assigned to a category below

SOURCES

Table 2-19 Occupant Fatalities by Vehicle Type and Nonoccupant Fatalities

d Includes cars with a wheelbase of 110 inches or greatere Large trucks - trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks - trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehicles

KEY R = revised U = data are not available

c Includes cars with a wheelbase of between 105 and 109 inches

b Includes cars with a wheelbase of between 100 and 104 inches

a Includes minicompact cars (wheelbase under 95 inches) and subcompact cars (wheelbase between 95 and 99 inches)

Table 2-20 Occupant and Nonmotorist Fatalities in Crashes by Number of Vehicles and Alcohol Involvement (AI)1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal Al Fatal AlTOTAL fatalities 43825 23167 44599 22587 41508 20159 39250 18290 40150 17908 40716 17308 41817 17732 42065 17749 42013 16711 41501 16673 41717 16572 41945 17380 42196 17400 43005 17524 42884 (R)17105 42836 16694 43510 (R)16885 (R)42708 (R)17738 41059 17036AI as a percent of total fatalities 53 51 49 47 45 43 42 42 40 40 40 41 41 41 40 39 39 (R)42 41Motorist fatalities TOTAL 36043 19271 37134 18953 34740 16917 32880 15301 33574 14857 34318 14437 35291 14796 35695 14830 35725 14051 35382 13896 35875 13958 36348 14834 36440 14708 37375 14954 (R)37341 (R)14544 (R)37304 (R)14196 (R)37646 14370 36956 14959 35555 14386

Single-vehicle crashes 17130 10882 18159 11162 17280 10208 15958 9045 15932 8761 15997 8330 16732 8868 16723 8781 16529 8244 16666 8417 17075 8516 17471 8964 17753 8973 18600 9238 18175 (R)8957 18288 8808 18806 9016 18890 9376 18402 9188Two-vehicle crashes 16467 7296 16262 6676 15025 5821 14449 5341 15161 5205 15664 5219 15744 5017 15935 5084 16218 4904 15742 4638 15726 4562 15758 4854 15618 4739 15628 4744 15795 (R)4652 15737 4492 15649 4449 15070 4622 14293 4288More than two-vehicle crashes 2446 1093 2713 1115 2435 888 2473 916 2481 891 2657 888 2815 911 3037 965 2978 904 2974 841 3074 880 3119 1016 3069 996 3147 972 3162 (R)935 3117 896 3139 905 2996 961 2860 911

Nonmotorist fatalities TOTAL 7782 3897 7465 3636 6768 3241 6370 2989 6576 3051 6398 2871 6526 2936 6368 2919 6288 2660 6119 2777 5842 2613 5597 2546 5756 2693 5630 2571 (R)5543 (R)2562 (R)5532 2499 (R)5864 2516 5752 2779 5504 2650Pedestrians fatalities total 6808 3575 6482 3264 5801 2891 5549 2721 5649 2735 5489 2578 5584 2607 5449 2593 5321 2350 5228 2463 4939 2314 4763 2254 4901 2371 4851 2292 4749 (R)2283 4641 2211 4881 2180 4795 2401 4654 2307Pedestrians single-vehicle crashes 6342 3278 5990 2966 5302 2588 5099 2454 5180 2464 5027 2308 5110 2364 5024 2358 4876 2112 4801 2228 4516 2074 4340 2015 4480 2123 4445 2069 4292 (R)2036 4207 1976 4443 1946 4332 2138 4264 2088Pedestrians multiple-vehicle crashes 466 297 492 298 499 303 450 267 469 271 462 270 474 243 425 235 445 239 427 235 423 240 423 239 421 248 406 223 457 (R)247 434 234 438 234 463 263 390 219Pedalcyclists fatalities total 890 284 859 315 843 305 723 228 816 279 802 262 833 290 765 265 814 252 760 268 754 270 693 246 732 283 665 243 622 (R)235 725 249 784 282 772 311 698 288Pedalcyclists single-vehicle crashes 864 271 832 301 815 296 690 211 792 264 781 252 807 279 739 253 788 244 736 259 718 253 668 236 709 271 628 229 589 (R)218 697 237 755 268 732 292 670 276Pedalcyclists multiple-vehicle crashes 26 13 27 14 28 9 33 17 24 15 21 10 26 11 26 12 26 8 24 9 36 17 25 10 23 12 37 14 33 (R)18 28 11 29 14 40 19 28 12Others unknown 84 38 124 57 124 45 98 39 111 37 107 31 109 39 154 61 153 58 131 47 149 29 141 46 123 39 114 36 140 (R)44 128 39 184 54 185 67 152 55

KEY AI = Alcohol involvement Fatal = fatalities R = revised

NOTESAlcohol involvement pertains to any driver pedestrian or pedalcyclist involved in the accident Alcohol results are determined from positive blood alcohol concentration tests and police-reported alcohol involvement and are adjusted by the US Department of Transportation National Highway Traffic Safety Administration

In 2001 NHTSA adopted a new method to estimate missing blood alcohol concentration (BAC) test result data This new method multiple imputation is being used by NHTSAs National Center for Statistics and Analysis (NCSA) to improve the scope of alcohol involvement statistics by the Fatality Analysis Reporting System (FARS) As a result of the methodology change alcohol involvement fatalities have undergone a complete revision

The sum of individual categories may not add to totals because NCSA generates a separate estimate for each category of fatalities including total fatalities

SOURCESUS Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System (FARS) Database personal communication December 2008Total motorist fatalities and total nonmotorist fatalities for 2003-2005US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2007 Final Edition (Washington DC) table 4 available at httpwww-nrdnhtsadotgov as March 2009

412009 NTS 2002 NHTSA

Table 2-21 Passenger Car Occupant Safety Data1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities 25929 27449 23212 24092 22385 21387 21566 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 19192 (R) 18512 17925 16520Injured persons N N N 2376439 2234594 2231703 2264809 2363595 2469358 2458080 2340612 2201375 2137503 2051609 1926625 1804788 1756495 1642549 1573000 1475000 1379000Vehicles involved in crashes N N N 5560592 5178450 5042203 5040116 5401164 5593685 5598699 5423286 5146124 4915734 4926243 4831842 4802056 4746620 4557316 6087000 5864000 5745000Vehicle-miles (millions) 1030376 1107056 1248981 1427178 1411655 1436035 1445106 1459208 1478352 1499139 1528399 1555901 1566808 1580735 1595443 1611860 1612237 (R) 1628266 (R) 1615225 1614564 1605558Rates per 100 million vehicle-milesFatalities 25 25 19 17 16 15 15 15 15 15 15 14 13 13 13 13 12 12 (R) 1 11 10

Injured persons N N N 167 158 155 157 162 167 164 153 141 136 130 121 112 109 101 (R) 97 91 86

Vehicles involved in crashes N N N 390 367 351 349 370 378 373 355 331 314 312 303 298 294 280 (R) 377 363 358KEY N = data do not exist R = revised

NOTESVehicle-miles in this table and in table 2-23 are taken from NHTSA revised data and are not based exclusively on USDOT Federal Highway Administration (FHWA) data The change was made to reflect the different vehicle classification schemes used by FHWA and NHTSA Thus vehicle-miles for passenger cars and light and large trucks in this table and table 2-23 should not be compared with vehicle-miles in chapter 1 which are taken directly from FHWA

SOURCESFatalities injuries and vehicle miles1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition DOT HS 811 002 (Washington DC Annual issues) table 7 available at httpwwwnhtsadotgov as of March 2009

Vehicles involved in crashes1975-2004 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database personal communication May 25 2006 2005mdash2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 35 available at httpwww-nrdnhtsadotgov as of March 2009

Table 2-22 Motorcycle Rider Safety Data1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities 3189 5144 4564 3244 2806 2395 2449 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 (R) 4576 4837 5154Injured persons N N N 84285 80435 65099 59436 57405 57480 55281 52574 48974 49986 57723 60236 64713 67103 76379 87000 88000 103000Motorcycles involved in crashes N N N 103114 105030 72177 74565 68752 66354 66224 61451 54477 57322 68783 73342 76004 79131 85538 103000 104000 123000Vehicle-miles (millions) 5629 10214 9086 9557 9178 9557 9906 10240 9797 9920 10081 10283 10584 10469 9639 9552 9577 10122 (R) 10454 12049 13612Rates per 100 million vehicle-milesFatalities 57 50 50 34 31 25 25 23 23 22 21 22 23 28 33 34 39 40 (R) 44 40 38Injured persons N N N 882 876 681 600 561 587 557 522 476 472 551 625 677 701 755 (R) 832 730 757Motorcycles involved in crashes N N N 1079 1144 755 753 671 677 668 610 530 542 657 761 796 826 845 (R) 985 863 904KEY N = data do not exist R = revised

NOTESThe injury and crash data in this table are from NHTSAs General Estimates System (GES) The data from the GES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or that did not result in property damage

SOURCESFatalities injuries and vehicle-miles1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 10 available at httpwww-nrdnhtsadotgov as of March 2009

Motorcycles involved in crashes1975-2004 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database personal communication May 25 2006

2005-07 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 35 available at httpwww-nrdnhtsadotgov as of March 2009

o

Table 2-23 Truck Occupant Safety Data1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities total 5817 8748 7666 9306 9052 8683 9116 9574 10216 10553 10972 11447 12024 12280 12431 12963 13272 13440 (R) 13841 13566 13215Light 4856 7486 6689 8601 8391 8098 8511 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 (R) 13037 12761 12413Large 961 1262 977 705 661 585 605 670 648 621 723 742 759 754 708 689 726 766 (R) 804 805 802

Injured persons total N N N 546966 590632 578435 632976 661619 752840 794238 785733 791273 879757 917398 889951 905580 915941 927458 899000 880000 864000Light N N N 505144 562601 544657 600874 631411 722496 761478 754820 762506 846865 886566 860527 879338 889048 900171 872000 857000 841000Large N N N 41822 28031 33778 32102 30208 30344 32760 30913 28767 32892 30832 29424 26242 26893 27287 27000 23000 23000

Trucks involved in crashes total N N N (R) 2783396 (R) 2809179 (R) 2852683 (R) 3139660 (R) 3411997 (R) 3568059 (R) 3757001 (R) 3834545 (R) 3805318 (R) 4150879 (R) 4307493 (R) 4347654 (R) 4423255 (R) 4516020 (R) 4570388 (R) 4591915 4541177 4605270Light N N N (R) 2398620 (R) 2478832 (R) 2476648 (R) 2742332 (R) 2951353 (R) 3190587 (R) 3363246 (R) 3396628 (R) 3393363 (R) 3675959 (R) 3850498 (R) 3917831 (R) 3988668 (R) 4059299 (R) 4154486 (R) 4150964 4156411 4191686Large N N N (R) 384776 (R) 330347 (R) 376035 (R) 397328 (R) 460644 (R) 377472 (R) 393755 (R) 437917 (R) 411955 (R) 474920 (R) 456995 (R) 429823 (R) 434587 (R) 456721 (R) 415902 (R) 440951 384766 413584

Vehicle-miles (millions)Light 204274 295475 388778 555659 595924 642397 675353 711515 749971 787255 824896 861951 903314 942611 976096 1012648 1043936 (R) 1098807 (R) 1134247 1158460 1176713Large 81330 108491 123504 146242 149543 153384 159888 170216 178156 182971 191477 196380 202688 205520 209032 214603 217917 (R) 220792 (R) 222523 222513 226963

Rates per 100 million vehicle-milesFatalities

Light 24 25 17 15 14 13 13 13 13 13 12 12 12 12 12 12 12 12 11 11 11Large 12 12 08 05 04 04 04 04 04 03 04 04 04 04 03 03 03 03 04 04 04

Injured personsLight N N N 909 944 848 890 887 963 967 915 885 938 941 882 868 852 819 769 740 715Large N N N 286 187 220 201 177 170 179 161 146 162 150 141 122 123 124 121 103 101

Trucks involved in crashesLight N N N (R) 432 (R) 416 (R) 386 (R) 406 (R) 415 (R) 425 (R) 427 (R) 412 (R) 394 (R) 407 (R) 408 (R) 401 (R) 394 (R) 389 (R) 378 (R) 366 359 356Large N N N (R) 263 (R) 221 (R) 245 (R) 249 (R) 271 (R) 212 (R) 215 (R) 229 (R) 210 (R) 234 (R) 222 (R) 206 (R) 203 (R) 210 (R) 188 (R) 198 173 182

KEY N = data do not exist R = revised

NOTESLarge trucks - trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks - trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehicles The injury and crash data in this table are from the US Department of Transportation (USDOT) National Highway Traffic Safety Administrations (NHTSA) General Estimates System (GES) The data from GES which began operation in 1988 are obtained from a nationally representative probability sample selected frall police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or that did not result in property damage

Vehicle-miles in this table and in table 2-19 are taken from NHTSA revised data and are not based exclusively on USDOT Federal Highway Administration (FHWA) data as they have been in earlier reports The change was made to reflect the different vehicle classification schemes used by FHWA and NHTSA Thus vehicle-miles for passenger cars and light and large trucks in table 2-19 and this table should not be compared with vehicle-miles in Chapter 1 which are taken directly from FHWA

SOURCESFatalities injuries and vehicle-miles1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) tables 8 and 9 available at httpwww-nrdnhtsadotgov as of March 2009

Trucks involved in crashes1975-1985 Ibid National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database personal communication May 25 2006

1990-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2007 Final Edition (Washington DC) table 3 available at httpwww-nrdnhtsadotgov as March 2009

Table 2-24 Bus Occupant Safety Dataa

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Fatalities 53 46 57 32 31 28 18 18 33 21 18 38 59 22 34 45 41 42 58 27 37Injured persons N N N 32691 20959 20144 17056 15767 19214 20291 16887 15559 21958 17769 15427 18819 18174 16410 11000 10000 12000Vehicles involved in crashes N N N 60412 56285 49705 51353 55818 58847 57185 53376 53385 62591 55594 54264 57958 57674 52144 51000 52000 57000Vehicle-miles (millions) 6055 6059 4478 5726 5750 5778 6125 6409 6420 6563 6842 7007 7662 7590 7077 6845 6783 6801 (R) 6980 6783 6976Rates per 100 million vehicle-milesFatalities 09 08 13 06 05 05 03 03 05 03 03 05 08 03 05 07 06 06 (R) 08 04 05Injured persons N N N 571 365 349 278 246 299 309 247 222 287 234 218 275 268 241 (R) 158 147 172Vehicles involved in crashes N N N 1055 979 860 838 871 917 871 780 762 817 732 767 847 850 767 (R) 731 767 817KEY N = data do not exist R = revised

a Bus includes school transit and intercity buses

NOTESThe injury and crash data in this table are from the US Department of Transportation (USDOT) National Highway Traffic Safety Administrations (NHTSA) General Estimates System (GES) The data from GES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or that did not result in property damage

SOURCESFatalities and injuries

1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 4 available at httpwww-nrdnhtsadotgov as of March 2009Vehicle-miles1975-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC July 1997) table VM-201A available at httpwwwfhwadotgovpolicyohpihssindexcfm as March 20091995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at httpwwwfhwadotgovpolicyohpihssindexcfm as March 2009Vehicles involved in crashes1990-2004 Ibid General Estimates System Database personal communication May 25 2006

2005-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 35 available at httpwww-nrdnhtsadotgov as of March 2009

(R) 1985 (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006Total fatalities 43825 44599 41508 39250 40150 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 43510 42708Fatalities in alcohol-related crashes 21098 20607 18307 16401 16039 15626 15893 15866 14973 14899 14790 15746 15731 15793 15423 15311 15985 15970

Percent 481 462 441 418 399 384 380 377 356 359 355 375 373 367 360 357 367 374BAC = 000

Number 22589 23823 23025 22726 23979 24948 25768 26052 26902 26477 26798 26082 26334 27080 27328 27413 27423 26633Percent 515 534 555 579 597 613 616 619 640 638 642 622 624 630 637 640 630 624

BAC = 001 - 007Number 2974 2901 2480 2352 2300 2236 2416 2415 2216 2353 2235 2422 2441 2321 2327 2212 2404 2479Percent 68 65 60 60 57 55 58 57 53 57 54 58 58 54 54 52 55 58

BAC = 008+Number 18125 17705 15827 14049 13739 13390 13478 13451 12757 12546 12555 13324 13290 13472 13096 13099 13582 13491Percent 414 397 381 358 342 329 322 320 304 302 301 318 315 313 305 306 312 316

Table 2-25 Fatalities by Highest Blood Alcohol Concentration (BAC) in Highway Crashes

In 2001 the NHTSA adopted a new method to estimate missing blood alcohol concentration (BAC) test result data This new method multiple imputation is being used by NHTSAs National Center for Statistics and Analysis (NCSA) to improve the scope of alcohol involvement statistics by the Fatality Analysis Reporting System As a result of the methodology change BAC 008 breakouts which coincide with many state laws can now be determined Thus NHTSAs general reporting categories have been modified to reflect this and are now BAC 000 BAC 001-007 and BAC 008+SOURCE1985-2007 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2007 Table 13 available at httpwww-nrdnhtsadotgov as of Mar 23 2009

KEY BAC = blood alcohol concentration R = revised

NOTES

BAC values have been assigned by US Department of Transportation National Highway Traffic Safety Administration (NHTSA) when alcohol test results are unknown Alcohol-related crashes pertain to the BAC of the driver and nonoccupants struck by motor vehicles For some years numbers may not addto totals due to rounding

Table 2-26 Number of States with Different Types of Anti-DUI DWI Legislation in Effect as of January 1 of the Listed Year

1986 1990 1992 1994 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006BAC = 008 per se lawsa 2 4 5 10 13 13 15 16 (c) 18 (c) 20 (d R) 29 (d) 33 (d) 47 (d) 52 (d) 52BAC level 002 or less for persons younger than 21 years 0 0 3 12 (c) 28 (c) 38 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51Administrative license revocation (ALR) for DUI DWI offendersb

(c) 21 (c) 27 (c) 30 (c) 33 (c) 38 (c) 40 (c) 41 (c) 41 (c) 41 (c) 41 (c) 41 (c) 41 (c) 42 (c) 42 (c) 42KEY BAC = blood alcohol concentration DUI = driving under the influence DWI = driving while intoxicated R = revised

a Per se law makes it illegal in and of itself to drive with an alcohol concentration measured at or above a certain levelb States that impose additional thresholds for ALR beyond those imposed for DUIDWI are not included in these figuresc Includes the District of Columbiad Includes the District of Columbia and Puerto Rico

NOTENational Uniform Minimum Drinking Age Act which standardized the minimum drinking age at 21 was enacted in 1984

SOURCES 002 BAC and Administrative license revocation1986-98 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Programs Research and Evaluation Division personal communications Apr 9 1999 and Oct 4 19991999-2000 2002-03 Ibid Impaired Driving Division personal communications May 22 2000 Feb 5 2004 and Oct 15 20042001 Ibid Setting Limits Saving Lives (Washington DC April 2001) DOT HS 809-241008 BAC 1986-2000 Ibid Presidential Initiative for Making 008 BAC the National Legal Limit A Progress Report Internet site httpwwwnhtsadotgovpeopleinjuryalcohollimit0808progressreportindexhtml as of Aug 13 20012001 Ibid Setting Limits Saving Lives (Washington DC April 2001) DOT HS 809-2412002 Ibid Impaired Driving Division personal communication Feb 5 20042003 06 Ibid 08 BAC Laws (Washington DC 2004) Internet site httpwwwnhtsadotgovpeopleinjuryalcoholbloodhtm as Oct 19 2004 and personal communication Aug 21 2004 and Aug 17 2007

Table 2-27 Motor Vehicle Fatal Crashes by Day of Week Time of Day and Weather and Light Conditions (percent)1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007

TOTAL fatal crashes 39836 36937 34942 35780 36254 37241 37494 37324 37107 37140 37526 37862 38491 38477 38444 39252 38648 37248Day of weekSunday 161 162 159 158 159 157 152 158 155 157 161 160 159 160 162 159 168 166Monday 117 115 116 121 124 124 127 121 124 126 123 126 122 123 124 126 122 128Tuesday 115 115 115 118 117 118 124 119 124 119 120 121 124 122 116 118 122 116Wednesday 115 119 123 120 123 119 122 130 124 125 122 122 126 126 124 124 122 125Thursday 126 125 133 130 127 130 133 130 135 129 130 127 128 128 133 129 128 124Friday 167 165 161 163 163 166 161 161 158 159 160 162 158 157 160 157 155 155Saturday 200 199 193 190 186 185 182 180 180 185 185 182 182 184 180 186 183 185Unknown 002 003 001 002 004 003 004 005 004 001 001 004 002 005 005 003 000 000Time of dayMidnight to 3 am 157 153 143 138 131 128 126 122 123 122 125 125 131 125 124 128 130 1333 am to 6 am 77 79 74 74 73 75 74 72 73 76 80 76 81 78 79 81 83 856 am to 9 am 86 86 85 89 93 92 95 99 97 101 99 98 97 97 97 99 100 969 am to noon 85 86 88 97 96 94 97 99 102 101 99 100 97 99 99 95 95 94Noon to 3 pm 116 117 124 125 131 129 127 133 134 132 131 132 131 131 133 129 129 1283 pm to 6 pm 157 157 160 160 166 168 169 166 168 168 167 166 160 166 163 165 156 1606 pm to 9 pm 156 156 165 162 157 159 157 159 156 154 153 154 154 153 157 157 156 1569 pm to midnight 159 158 153 147 143 146 146 141 138 138 137 141 141 140 138 138 143 141Unknown 08 08 08 08 08 09 09 09 09 08 09 08 09 10 09 08 08 09Atmospheric conditionNormal 867 867 857 870 873 867 863 864 872 890 880 884 880 873 870 882 895 893Rain 93 90 100 87 83 86 84 88 88 73 71 75 78 78 83 74 73 64Snowsleet 16 19 20 22 18 24 27 25 17 16 23 18 19 22 20 20 12 22Otherunknown 23 24 23 21 25 23 26 23 23 20 26 23 22 27 27 24 21 21Light conditionDaylight 450 454 460 477 495 487 493 503 505 507 505 508 492 502 500 495 484 485Dark but lighted 177 174 174 164 156 160 159 156 149 150 159 157 161 157 158 159 165 168Dark 327 330 324 315 303 307 303 295 300 297 292 290 302 297 296 300 303 303Dawn or dusk 42 39 39 42 42 42 42 42 43 43 41 41 40 39 41 41 42 39Unknown 03 03 03 02 03 04 03 04 03 03 04 04 05 05 04 05 05 05KEY R = revised

SOURCE

US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System (FARS) Web-based encyclopedia available at httpwww-farsnhtsadotgov as of December 2008

Table 2-28 Motor Vehicle Fatal Crashes by Posted Speed Limit1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006 2007

TOTAL fatal crashes 39161 45284 39196 39836 36937 34942 35780 36254 37241 37494 37324 37107 37140 37526 37862 38491 38477 38444 39252 38648 37248Under 55 mph total 15233 20079 19278 19136 17507 16827 16985 16948 17439 17345 17258 17018 16963 17054 17582 17651 17422 (R) 17758 (R) 18461 18327 17609

51015 20 25 mpha 2617 2865 2504 2234 2097 1911 1895 1890 1893 1896 1955 1873 1863 1827 1919 1897 1883 (R) 1904 (R) 1947 1972 203030 35 mph 6099 8527 7890 7756 6908 6696 6759 6565 6681 6445 6383 6025 5946 6079 6260 6090 5995 6064 6337 6347 588240 45 mph 4276 6256 6812 7092 6608 6345 6454 6632 6938 7096 7132 7349 7245 7315 7576 7784 7717 7964 8359 8172 793750 mph 2241 2431 2072 2054 1894 1875 1877 1861 1927 1908 1788 1771 1909 1833 1827 1880 1827 1826 1818 1836 1760

55 mph and above total 16095 20352 18871 19749 18630 17450 18144 18698 19140 19460 19251 19333 19373 19735 19416 19898 19995 19780 19857 19252 1859955 mph 16094 20352 18863 17556 16543 15444 15980 16512 16753 14097 12897 12522 12184 12143 11847 12268 12155 11893 11760 11337 1096260 mph 0 0 2 18 9 4 9 13 16 523 935 1073 1069 1163 1221 1270 1364 1296 1347 1359 131865 mph 1 0 2 2175 2078 2002 2155 2173 2323 3214 3311 3421 3537 3686 3721 3742 3848 3856 3966 3960 379270 mph 0 0 3 0 0 0 0 0 38 1282 1633 1835 2079 2230 2116 2027 2039 2127 2198 2077 2070Over 70 mph 0 0 1 0 0 0 0 0 10 344 475 482 504 513 511 591 589 608 586 519 457

Unknownb 7833 4853 1047 951 800 665 651 608 (R) 662 (R) 689 815 756 804 (R) 737 864 942 1060 906 934 1069 1040KEY mph = miles per hour R = revised

a The No Statutory Limit speed limit designation is included in this categoryb The blank designation is included in this category

NOTESIn 1974 Congress enacted a national maximum speed limit of 55 miles per hour (mph) Amendments in 1987 and 1991 allowed states to increase speed limits to 65 mph on rural Interstates and similar highways The National Maximum Speed Limit was repealed in late 1995 speed limits are again set by the states some of which have raised their maximum speed limits to 70 mph or above

SOURCES1975-93 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2000 DOT HS 809 337 (Washington DC December 2001) table 30 and the Fatality Analysis Reporting System (FARS) Web-based Encyclopedia available at httpwww-farsnthsadotgov as of November 2003

1994-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System (FARS) Web-based encyclopedia available at httpwww-farsnhtsadotgov as of November 2008

1994 1996 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007OVERALL Safety Belt Use 58 61 69 67 71 73 75 79 80 82 81 82Drivers 59 62 70 67 72 74 76 80 81 83 82 83Passengers 55 59 65 64 68 72 73 77 76 78 78 81Passenger carsb 63 64 71 70 74 76 77 81 81 83 82 84Drivers 64 65 72 71 75 77 78 U U U U UPassengers 59 62 68 66 70 74 74 U U U U ULight trucksbc 50 56 66 62 68 69 73 U U U U UDrivers 51 58 67 62 69 70 73 U U U U UPassengers 49 53 61 60 65 69 72 U U U U UVans and sport utility vehiclesc U U U U U U U 83 83 85 84 86Pickup trucksc U U U U U U U 69 70 73 74 72Motorcycle Helmet Used 63 64 67 N 71 N 58 U 58 48 51 58Operators 67 66 64 N 72 N 59 U 63 56 57 59Riders 54 58 84 N 62 N 48 U 41 29 33 56

Table 2-29 Safety Belt and Motorcycle Helmet Use (percent)a

Occupants of commercial and emergency vehicles are excluded

SOURCES

KEY N = data do not exist U = data unavailable

aSeat belt use is as of the Fall each year except in 1999 (December) 2001 (June) 2002 (June) 2003 (June) 2004 (June) 2005 (June) Motorcycle helmet use is as of the Fall each year except in 1996 (January) 2002 (June) 2004 (June) and 2005 (June)b Beginning in 2003 the National Highway Traffic Safety Administration (NHTSA) no longer computes an overall light truck belt use estimate Instead belt use is computed separately for motorists in (1) vans and sport utility vehicles and (2) pickup trucks Additionally NHTSA no longereports seperate statistics for passengers and drivers except at the overall levelc Includes pickup trucks vans minivans and sport utility vehiclesd In 1994 operators and riders were counted as helmeted if wearing any type of helmet Since then only those operators and riders wearing safety helmets that met US Department of Transportation (DOT) standards were counted Those safety helmets that do not meet DOT standards were treated as if the operatorrider were not wearing a helmet

NOTE

Safety belt use1994-2002 US Department of Transportation National Highway Traffic Safety Administration Safety Belt and Helmet Use in 2002 -- Overall Results DOT HS 809 500 (Washington DC 2002) table 1 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARpts2002809-500pdf as of January 2003 2003-04 Ibid Safety Belt Use in 2004 Overall Results Traffic Safety Facts Research Note DOT HS 809 783 (Washington DC 2004) Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2004809783pdf as of Oct1520042005-06 Ibid Safety Belt Use in 2006 Overall Results Traffic Safety Facts Research Note DOT HS 810 677 (Washington DC 2006) Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2005809-932images809932pdf as of June 8 2007

2004 Ibid Motorcycle Helmet Use in 2005 -- Overall Results DOT HS 809 937 (Washington DC 2005) httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2005809-937images809937pdf as of Oct 16 2006 2005-06 Ibid Motorcycle Helmet Use in 2006 -- Overall Results DOT HS 810 678 (Washington DC 2006) httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2005809-937images809937pdf as of June 8 2007

2007 Ibid Motorcycle Helmet Use in 2007 Overall Results DOT HS 810840 (Washington DC 2007) Internet site httpwww-nrdnhtsadotgovPubs810840PDF as of May 12 2008

2007 Ibid Safety Belt Use in 2007 Overall Results Traffic Safety Facts Research Note DOT HS 810 841 (Washington DC 2007) Internet site httpwww-nrdnhtsadotgovPubs810841PDF as of May 12 2008Motorcycle helmet use1994-98 Ibid Research Note Observed Safety Belt Use in 1998 (Washington DC September 1999) table 3 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes199998obbelthtml as of January 2003 2000 2002 Ibid Safety Belt and Helmet Use in 2002 -- Overall Results DOT HS 809 500 (Washington DC 2002) table 6 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARpts2002809-500pdf as of January 2003

1975-1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Total

1975-2006Safety beltsab 68940 9882 10710 11259 11680 11941 12882 13295 14264 15095 15548 15688 15383 226567Air bagsc 730 536 783 973 1208 1491 1716 1978 2324 2519 2660 2752 2796 22466Motorcycle helmets 15076 624 617 627 660 745 872 947 992 1173 1324 1554 1658 26869Age 21 minimum legal drinking age 14816 851 846 846 861 901 922 927 922 918 927 882 890 25509Child restraints 3107 408 480 444 438 447 479 388 383 447 455 424 425 8325

b In 2002 the National Highway Traffic Safety Administration (NHTSA) revised its method for estimating lives saved by safety beltsThe previous method included survey data from states with and without belt use laws The current method relies on police-reportedrestraint use information for each individual occupant fatality Also the estimate now includes lives saved in passenger vehicles at all seating positions where previously it had been front outboard positions only

Table 2-30 Estimated Number of Lives Saved by Occupant Protection Motorcycle Helmets and Drinking Age Law

KEY R = revised

a Represents all adults and children age 5 and older Data are for passenger vehicles which include cars light trucks vans pickups and utility vehicles Excludes medium and heavy trucks

c In 2002 the National Highway Traffic Safety Administration revised the method for calculating lives saved by air bags

SOURCE

US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2006 (Washington DC 2007) httpwww-nrdnhtsadotgovPubsTSF2006FEPDF as of Mar 26 2008

Section DTransit

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002e 2003 2004 2005Fatalitiesa 339 300 273 281 320 274 264 275 286 299 295 267 280 234 248 236 Injuriesa 54556 52125 55089 52668 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 Accidentsb 58002 46467 36380 30559 29972 25683 25166 24924 23937 23310 24261 23891 13968 7793 7842 8151 Incidentsab (includes accidents) 90163 83139 73531 64986 70693 62471 59392 61561 60094 58703 59898 58149 30331 19797 20939 21016 Vehicle-miles (millions) 2490 2478 2510 2535 2581 2620 2605 2702 2833 2927 3002 3090 3084 3071 3139 3098 Rates per 100 million vehicle-milesc

Fatalities (all reportable incidents) 136 121 109 111 124 105 101 102 101 102 98 86 91 76 79 76Injuries (all reportable incidents) 2191 2103 2195 2077 2254 2183 2122 2078 1976 1890 1889 1746 624 594 605 585Accidents 2329 1875 1450 1205 1161 980 966 922 845 796 808 773 453 254 250 263Property damaged (current $ millions) 380 375 375 449 384 463 576 555 615 553 589 731 322 592 434 717

c Fatality and injury rates are based on total incidents including accidents and were calculated by dividing the number of fatalities injuries and incidents in this table by the number of vehicle miles

NOTES

Table 2-31 Transit Safety and Property Damage Data

Transit vehicle-miles in this table differ from those reported in Chapter 1 The American Public Transit Association which is the source for the vehicle-miles table in Chapter 1 includes all transit systems while Transit Safety and Security Statistics and Analysis Annual Report covers only directly operated urban transit systems Prior to the 2000 edition Transit Safety and Security Statistics and Analysis Report was entitled Safety Management Information Statistics (SAMIS) annual report

US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Report (Cambridge MA 2006) available at httptransit-safetyvolpedotgovDataSamisasp as of March 23 2009

SOURCE

d Total does not include property damage for cable car inclined plane jitney and ferry boat which were 1990ndash$335000 1991ndash$410000 1992ndash$288000 1993ndash$221000 1994ndash$322000 1995ndash$3263000 1996ndash$157000 1997ndash$67000 1998ndash$24000 1999ndash$104000 2000ndash$77000 2001ndash$1605000 2002ndash$254000 2003ndash$15348000 2004ndash$604000 The large increase in excluded property damage reported in 2003 is a result of the Staten Island Ferry incident on Oct 16 2003 which resulted in $15000000 of property damagee The drop in the number of incidents accidents injuries and property damage beginning from 2002 is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Commuter rail data are now derived from the Federal Railroad Administrations Rail Accident Incident Reporting System (RAIRS) In addition the threshold for reporting property damage was changed from $1000 in transit property damage to $7500 in total property damage starting from 2002

Data are provided only for transit systems that furnished safety data for inclusion in the US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports

a Totals do not include data for cable car inclined plane jitney and ferry boat These data appear in the footnotes for table 2-33b Accidents include collisions with other vehicles objects and people (except suicides) and derailmentsbuses going off the road Incidents include accidents plus personal casualties (inside vehicles inside stations and boarding and alighting vehicle) and fires

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Fatalities total 212 215 173 191 225 179 152 185 192 190 183 197 109 120 111 106 121

Motor busc 92 80 91 79 90 69 82 100 90 91 82 89 64 73 61 49 76Light rail 5 11 6 14 10 10 5 3 14 13 22 15 8 13 14 15 11Heavy rail 51 59 33 37 41 43 32 28 18 21 19 26 30 17 15 7 12Commuter rail 63 63 43 59 82 56 30 52 67 64 56 64 7 16 18 28 14Demand responsive 0 2 0 2 2 1 3 2 2 1 4 3 0 1 0 7 7Van pool 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1Automated guideway 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0

Injured persons totale 20023 20594 21653 22081 20939 22159 22950 21452 21341 21727 22140 21260 7771 10271 7829 8102 8062Motor busc 18876 19016 20556 20862 19663 20879 21222 20145 20136 20291 20329 19532 7211 8905 7164 7187 7186Light rail 465 474 468 361 327 355 680 320 332 427 415 305 177 192 245 268 255Heavy rail 296 308 273 365 309 348 431 336 261 286 425 598 90 218 158 86 94Commuter rail 84 560 110 210 216 159 213 99 66 54 53 108 50 102 51 263 100Demand responsive 286 200 233 224 399 395 379 499 492 632 869 679 200 836 174 280 373Van pool 16 36 13 58 24 23 25 52 53 37 49 38 43 18 37 18 47Automated guideway 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 0 7

Accidents totale 58002 46468 36380 30559 29972 25683 25166 24924 23937 23310 24261 23891 13968 7793 7838 (R) 8152 8970Motor busc 55289 44467 34282 28596 27754 23819 23425 22995 22277 21407 22127 21799 12821 6720 6837 (R) 6983 7738Light rail 699 671 600 449 512 309 341 363 328 300 357 344 558 556 490 625 634Heavy rail 144 188 613 662 744 637 346 325 293 396 364 328 183 152 171 117 131Commuter rail 175 248 181 208 266 216 201 192 193 215 258 237 89 89 93 68 77Demand responsive 1613 814 668 524 659 647 774 886 664 862 997 976 283 267 219 249 356Van pool 81 79 35 119 36 54 78 160 179 130 157 207 34 9 28 110 32Automated guideway 1 1 1 1 1 1 1 3 3 0 1 0 0 0 0 0 2

Vehicle-miles (millions) total 2490 2478 2510 2535 2581 2620 2605 2702 2833 2927 3002 3090 3084 3071 3139 3099 3128Motor busc 1668 1661 1688 1690 1702 1702 1687 1719 1779 1835 1868 1911 1919 1876 1891 1853 1849Light rail 24 27 28 27 34 34 37 41 43 48 52 53 60 64 63 67 72Heavy rail 529 522 520 518 522 537 543 558 566 578 595 608 621 630 643 645 649Commuter rail 187 188 188 206 210 217 203 216 242 249 253 257 255 256 279 271 283Demand responsive 74 71 72 77 94 109 108 134 157 167 179 205 172 189 203 196 196Van pool 8 8 13 16 18 19 25 33 44 49 52 54 56 55 58 65 77Automated guideway 06 05 10 10 12 11 14 14 14 14 16 18 18 15 15 2 2

Fatalities all modes 85 87 69 75 87 68 58 68 68 65 61 64 35 39 35 34 39Motor busc 55 48 54 47 53 41 49 58 51 50 44 47 33 39 32 26 41Light rail 208 403 212 511 296 290 133 74 323 271 423 285 133 204 221 224 153Heavy rail 96 113 63 71 79 80 59 50 32 36 32 43 48 27 23 11 18Commuter rail 336 334 229 286 390 258 148 241 276 257 221 249 27 62 65 103 49Demand responsive 00 28 00 26 21 09 28 15 13 06 22 15 00 05 00 36 36Van pool 00 00 00 00 00 00 00 00 00 00 00 00 00 00 52 00 13Automated guideway 1620 00 00 00 00 00 00 00 690 00 00 00 00 00 00 00 00

Injured persons all modese 804 831 863 871 811 846 881 794 753 742 738 688 252 334 249 261 258Motor busc 1132 1145 1218 1234 1155 1227 1258 1172 1132 1106 1088 1022 376 475 379 388 389Light rail 1933 1735 1654 1318 968 1030 1815 785 767 889 798 580 293 302 386 400 354Heavy rail 56 59 52 71 59 65 79 60 46 50 71 98 14 35 25 13 14Commuter rail 45 297 59 102 103 73 105 46 27 22 21 42 20 40 18 97 35Demand responsive 386 282 324 292 425 361 349 372 313 379 485 331 117 443 86 143 190Van pool 208 430 103 363 132 123 101 158 121 75 94 70 77 33 64 28 61Automated guideway 0 0 0 104 85 0 0 70 69 0 0 0 0 0 0 0 389

Accidents all modese 2329 1875 1450 1205 1161 980 966 922 845 796 808 773 453 254 250 263 287Motor busc 3315 2678 2031 1692 1631 1400 1389 1338 1252 1166 1184 1141 668 358 362 377 418Light rail 2906 2456 2121 1639 1516 897 910 891 758 624 687 654 925 874 773 933 881Heavy rail 27 36 118 128 142 119 64 58 52 69 61 54 29 24 27 18 20Commuter rail 93 132 96 101 127 100 99 89 80 86 102 92 35 35 33 25 27Demand response 2177 1147 928 682 702 591 714 661 423 516 557 476 165 141 108 127 182Van pool 1052 944 278 744 198 289 314 485 408 263 301 380 61 16 48 169 42Automated guideway 162 204 102 104 85 87 69 209 207 0 62 0 0 0 0 0 111

NOTES

SOURCEUS Department of Transportation Federal Transit Administration 2002 Safety and Security Statistics personal communications Oct 8 2004 Apr 22 2005 Apr 24 2006 and June 14 2007 June 18 2008

d Rates are based on total incidents including accidents and were calculated by dividing the number of fatalities injuries and incidents in this table by the number of vehicle-miles

Analysts for the FTA believe the change in reporting requirements in 2002 may have resulted in unreliable data in that yearparticularly for injuries and accidents The reliability of reporting is believed to be much better in 2003 and is expected to improve in the future

Rates per 100 million vehicle-milesd

Data are provided only for transit systems that furnished safety data for inclusion in the US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports Data covers only directly operated urban transit systems Vehicle-miles for all transit systems including nonurban and purchased can be found in the vehicle-miles table in chapter 1Prior to the 2000 edition Transit Safety and Security Statistics and Analysis Report was entitled Safety Management Information Statistics (SAMIS) annual report

e In 2002 the drop in the number of accidents and injuries is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Commuter rail data are now derived from the Federal Railroad Administrations Rail Accident Incident Reporting System (RAIRS)

a Accident statistics for cable car inclined plane jitney and ferry boat are not available The number of incidents fatalities and injuries for these modes appear in the footnotes for table 2-33ab Accidents include collisions with vehicles objects people (except suicides) and derailmentsvehicles going off roadc Motor bus also includes trolley bus

Numbers may not add to totals due to rounding

Table 2-32 Transit Safety Data by Modea for All Reported Accidentsb

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Fatalities total 339 300 273 281 320 274 264 275 286 299 295 267 280 234 248 236 227

Motor busc 110 88 99 83 108 82 101 109 109 102 90 95 78 87 77 66 94Light rail 7 13 9 15 13 15 6 3 23 17 30 21 13 17 22 19 17Heavy rail 117 103 91 83 85 79 74 77 54 84 80 59 73 49 59 35 23Commuter rail 104 93 74 98 112 92 72 79 94 95 87 87 116 77 86 105 85Demand responsive 0 3 0 2 2 6 11 7 4 1 8 5 0 4 0 8 7Van pool 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1Automated guideway 1 0 0 0 0 0 0 0 2 0 0 0 0 0 1 3 0

Injured persons totalf 54556 52125 55089 52668 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 19238Motor busc 40006 38619 40090 38873 42195 41297 39709 39181 41035 41221 40925 38840 11995 11493 11898 11560 11812Light rail 1244 1251 1268 982 1181 1319 1604 1087 1076 1271 1338 1201 557 539 633 618 659Heavy rail 10036 9285 10446 10532 11673 11238 11093 12285 11059 9665 10848 10641 4806 4158 4738 3814 4721Commuter rail 2438 2308 2546 1560 2374 2374 1953 2388 1677 1761 1783 1813 1483 1597 1364 1672 1426Demand responsive 807 622 713 652 731 935 882 1121 1064 1345 1736 1374 347 401 296 447 553Van pool 21 40 19 59 29 25 27 54 67 41 52 40 44 18 38 18 48Automated guideway 4 0 7 10 10 8 20 16 12 21 15 36 28 29 15 2 19

All incidents totalf 90163 83139 73531 64986 70693 62471 59392 61561 60094 58703 59898 58149 30331 19797 20939 21016 22593Motor busc 70437 63453 52182 45580 49185 42780 40456 40524 41616 41094 41677 40321 19892 11053 11787 11940 13112Light rail 1465 1543 1492 1136 1413 1276 1350 1173 1121 1182 1319 1299 1105 983 931 1130 1138Heavy rail 12178 14102 15512 15082 15869 14327 13748 15151 13516 12196 12782 12406 7078 5554 6222 5741 6176Commuter rail 3031 2716 3160 2111 3115 2847 2449 3078 2410 2499 2072 2159 1720 1749 1598 1663 1575Demand responsive 2965 1241 1137 946 1062 1173 1284 1454 1221 1577 1871 1719 478 414 353 426 547Van pool 84 83 40 121 39 58 80 162 194 135 160 209 35 11 29 110 33Automated guideway 3 1 8 10 10 10 25 19 16 20 17 36 23 33 19 6 12

Unlinked passenger trips (millions)d total 7646 7380 7318 7059 7335 7172 7211 7615 7774 8149 8337 8554 8519 8230 8246 (R) 8427 8589

Motor busc 4912 4780 4728 4585 4567 4539 4464 4554 4712 4926 4959 5065 5078 4810 4732 4815 4822Light rail 174 184 187 187 274 249 259 259 273 289 316 327 333 334 345 372 396Heavy rail 2252 2123 2119 1960 2149 2034 2157 2429 2393 2521 2632 2728 2688 2667 2748 2806 2920Commuter rail 286 274 262 303 318 322 302 311 360 374 388 390 380 375 377 383 399Demand responsive 14 13 13 15 17 18 17 48 22 23 24 27 23 25 25 26 26Van pool 2 2 3 4 5 5 6 8 9 10 10 10 10 11 10 12 15Automated guideway 6 4 5 5 6 6 6 6 6 5 6 8 8 8 9 (R) 12 11

Rates per 100 million unlinked passenger trips (millions)e

Fatalities all modes 44 41 37 40 44 38 37 36 37 37 35 31 33 28 30 (R) 28 26Motor busc 22 18 21 18 24 18 23 24 23 21 18 19 15 18 16 14 19Light rail 40 71 48 80 47 60 23 12 84 59 95 64 39 51 64 51 43Heavy rail 52 49 43 42 40 39 34 32 23 33 30 22 27 18 21 12 08Commuter rail 364 339 283 324 352 286 238 254 261 254 224 223 306 205 228 274 213Demand responsive 00 226 00 135 120 339 655 146 181 43 328 186 00 159 00 (R) 305 271Van pool 00 00 00 00 00 00 00 00 00 00 00 00 00 00 287 00 67Automated guideway 170 00 00 00 00 00 00 00 325 00 00 00 00 00 107 (R) 260 00

Injured persons all modesf 714 706 753 746 793 798 767 737 720 679 680 631 226 222 230 215 224Motor busc 815 808 848 848 924 910 890 860 871 837 825 767 236 239 251 240 245Light rail 715 682 677 524 432 529 620 419 394 440 423 368 167 162 183 166 166Heavy rail 446 437 493 537 543 553 514 506 462 383 412 390 179 156 172 136 162Commuter rail 853 843 972 516 747 738 646 769 466 471 459 465 391 425 362 437 357Demand responsive 5835 4678 5393 4401 4390 5286 5251 2336 4821 5846 7113 5117 1524 1593 1189 (R) 1707 2140Van pool 1037 1721 584 1398 638 537 461 701 773 411 524 405 453 167 364 (R) 144 322Automated guideway 68 0 127 194 160 123 317 272 195 389 239 464 364 353 160 (R) 17 170

All incidents all modesf 1179 1126 1005 921 964 871 824 808 773 720 718 680 356 241 254 249 263Motor busc 1434 1327 1104 994 1077 943 906 890 883 834 840 796 392 230 249 248 272Light rail 842 841 796 606 516 512 522 452 411 410 417 398 331 295 270 304 287Heavy rail 541 664 732 769 738 705 637 624 565 484 486 455 263 208 226 205 212Commuter rail 1060 991 1207 698 980 885 810 991 670 668 533 554 453 466 424 (R) 435 394Demand responsive 21440 9333 8600 6385 6378 6632 7644 3030 5532 6854 7666 6402 2099 1645 1418 (R) 1626 2117Van pool 4147 3570 1229 2867 858 1245 1366 2104 2238 1353 1611 2116 360 102 277 (R) 881 221Automated guideway 51 28 145 194 160 154 396 323 260 371 271 464 299 401 203 (R) 52 107

Other Modes 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Fatalities 2 1 0 1 0 0 1 0 0 0 0 1 2 12 0 0 1

Injuries 378 327 399 383 616 598 354 357 379 1091 762 897 35 133 58 18 40

Incidents 186 411 400 411 650 536 301 353 253 1078 745 891 69 90 59 25 42

Table 2-33a Transit Safety Data by Modea for All Reported Incidentsb

Analysts for the FTA believe the change in reporting requirements in 2002 may have resulted in unreliable data in that year particularly for injuries and incidents The reliability of reporting is believed to be much better in 2003 and is expected to improve in the future

NOTES

SOURCE

a The figures for cable car inclined plane jitney and ferry boat are lumped together and appear in this footnote Note that the 2003 data include 11 fatalities and 70 injuries that resulted from the Oct 16 2003 Staten Island Ferry incident

b Incidents include accidents (collisions with vehicles objects people (except suicides) derailmentsvehicles going off road) plus personal casualties fires and property damage associated with transit agency revenue vehicles and all transit facilitiesc Motor bus also includes trolley busd The number of unlinked passenger trips is equivalent to the number of passengers who board public transit vehicles Passengers are counted each time they board a vehicle regardless of how many vehicles are necessary for a passenger to get to their destination

US Department of Transportation Federal Transit Administration 2004 Transit Safety and Security Statistics and Analysis Report (Cambridge MA 2005) and personal communications Oct 13 2004 Apr 22 2005 Apr 24 2006 June 14 2007 and June 18 2008

e Rates are based on total incidents including accidents and were calculated by dividing the number of fatalities injuries and incidents in this table by the number of unlinked passenger tripsf In 2002 the drop in the number of incidents and injuries is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Commuter rail data are now derived from the Federal Railroad Administrations Rail Accident Incident Reporting System (RAIRS)

Data are provided only for transit systems that furnished safety data for inclusion in the US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports Data covers only directly operated urban transit systems Vehicle-miles for all transit systems including nonurban and purchased can be found in the vehicle-miles table in chapter 1Prior to the 2000 edition Transit Safety and Security Statistics and Analysis Report was entitled Safety Management Information Statistics (SAMIS) annual report

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006All transit rail total 186 152 159 171 196 197 167 202 143 167 159 125

Transit only 169 145 147 145 175 177 154 178 122 138 101 92Grade crossing 17 7 12 26 21 20 13 24 21 29 58 33

Light rail total 15 6 3 23 17 30 21 13 17 22 19 17Transit only N N N N N 18 20 12 13 12 9 9Grade crossing N N N N N 12 1 1 4 10 10 8

Heavy rail total 79 74 77 54 84 80 59 73 49 59 35 23Transit only N N N N N 80 58 73 48 58 35 22Grade crossing N N N N N 0 1 0 1 1 0 1

Commuter rail total 92 72 79 94 95 87 87 116 77 86 105 85Transit only N N N N N 79 76 93 61 68 57 61Grade crossing N N N N N 8 11 23 16 18 48 24

1995-2006 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) Internet site httptransit-safetyvolpedotgov as of Apr 5 2006 and personal communications June 8 2005 Apr 5 2006 June 14 2007 June 18 2008

Light rail and heavy rail grade crossings are regulated by the Federal Transit Administration The Federal Transit Adminstration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

Commuter rail grade crossings are regulated by the Federal Railroad Administration The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade

SOURCE

Table 2-33b Transit and Grade-Crossing Fatalities by Rail Transit Mode

KEY N = data do not exist

NOTES

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006All transit rail total 14931 14650 15760 13812 12697 13969 13655 6846 6294 6735 6104 6806

Transit only 14736 14466 15634 13754 12538 13846 13581 6738 6177 6582 5910 6598Grade crossing 195 184 126 58 159 123 74 108 117 153 194 208

Light rail total 1319 1604 1087 1076 1271 1338 1201 557 539 633 618 659Transit only N N N N N 1227 1147 481 471 519 458 505Grade crossing N N N N N 111 54 76 68 114 160 154

Heavy rail total 11238 11093 12285 11059 9665 10848 10641 4806 4158 4738 3814 4721Transit only N N N N N 10847 10634 4801 4158 4738 3813 4721Grade crossing N N N N N 1 7 5 0 0 1 0

Commuter rail total 2374 1953 2388 1677 1761 1783 1813 1483 1597 1364 1672 1426Transit only N N N N N 1772 1800 1456 1548 1325 1639 1372Grade crossing N N N N N 11 13 27 49 39 33 54

SOURCE

1995-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) Internet site httptransit-safetyvolpedotgov as of Apr 5 2006 and personal communications June 8 2005 Apr 5 2006 June 14 2007 June 18 2008

Table 2-33c Transit and Grade-Crossing Injuries by Rail Transit Mode

KEY N = data do not exist

NOTES

Light rail and heavy rail grade crossings are regulated by the Federal Transit Administration The Federal Transit Adminstration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets Commuter rail grade crossings are regulated by the Federal Railroad Administration The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at gradeData thresholds changed for certain elements beginning with 2002 The extreme drop in the incidents injuries collisions and not otherwise classifieds (personal casualties) for 2002 is due to the change of the incident thresholds specifically the definition of injuries in the NTD The injury definition was changed for the 2002 revision of the NTD to coincide with other USDOT modes Only incidents involving immediate medical treatment away from the scene now qualify as reportable injuries Previously any reported incidentinjury was reported to NTD It was felt that this resulted in the collection of claims-based as opposed to safety-based data

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006All transit rail total 18450 17547 19402 17047 15877 16173 15864 9903 8286 8751 8534 8889

Transit only 18323 17413 19283 16941 15737 16025 15763 9505 8010 8440 7999 8713Grade crossing 127 134 119 106 140 148 101 398 276 311 535 176

Light rail total 1276 1350 1173 1121 1182 1319 1299 1105 983 931 1130 1138Transit only 1178 1253 1107 1055 1079 1213 1245 785 766 693 689 1041Grade crossing 98 97 66 66 103 106 54 320 217 238 441 97

Heavy rail total 14327 13748 15151 13516 12196 12782 12406 7078 5554 6222 5741 6176Transit only 14325 13746 15146 13513 12195 12781 12398 7076 5553 6221 5740 6173Grade crossing 2 2 5 3 1 1 8 2 1 1 1 3

Commuter rail total 2847 2449 3078 2410 2499 2072 2159 1720 1749 1598 1663 1575Transit only 2820 2414 3030 2373 2463 2031 2120 1644 1691 1526 1570 1499Grade crossing 27 35 48 37 36 41 39 76 58 72 93 76

1995-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) Internet site httptransit-safetyvolpedotgov as of Apr 5 2006 and personal communications June 8 2005 Apr 5 2006 June 14 2007 June 18 2008

Commuter rail grade crossings are regulated by the Federal Railroad Administration The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade

Data thresholds changed for certain elements beginning with 2002 The extreme drop in the incidents injuries collisions and not otherwise classifieds (personal casualties) for 2002 is due to the change of the incident thresholds specifically the definition of injuries in the NTD The injury definition was changed for the 2002 revision of the NTD to coincide with other USDOT modes Only incidents involving immediate medical treatment away from the scene now qualify as reportable injuries Previously any reported incidentinjury was reported to NTD It was felt that this resulted in the collection of claims-based as opposed to safety-based data

SOURCE

Table 2-33d Transit and Grade-Crossing Incidents by Rail Transit Mode

NOTES

Light rail and heavy rail grade crossings are regulated by the Federal Transit Administration The Federal Transit Adminstration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Reported Offenses Violent CrimeHomicidea 19 20 19 51 21 12 16 0 4 1 1 2

Motor bus 8 9 6 40 7 7 8 0 2 0 1 0Commuter rail 1 1 4 1 3 1 2 0 1 0 0 2Demand responsive 0 0 0 0 0 0 0 0 0 0 0 0Heavy rail 8 9 8 6 11 4 4 0 1 1 0 0Light rail 2 1 1 4 0 0 2 0 0 0 0 0

Otherb 0 0 0 0 0 0 0 0 0 0 0 0

Forcible rapec 29 38 31 47 27 37 37 65 25 24 23 5Motor bus 11 13 10 16 14 10 7 40 2 7 11 1Commuter rail 5 4 7 1 3 3 5 1 3 0 2 0Demand responsive 0 0 2 4 1 0 1 0 0 1 0 0Heavy rail 13 19 8 24 8 20 9 20 15 12 4 3Light rail 0 2 4 2 0 4 2 4 5 4 6 1

Otherb 0 0 0 0 1 0 13 0 0 0 0 0

Robberyd 2811 4563 4760 3684 3789 3480 3308 1641 1408 1561 1656 2222Motor bus 909 871 870 605 764 916 953 386 369 476 535 730Commuter rail 181 242 187 133 183 144 144 89 29 44 107 126Demand responsive 1 3 0 1 3 4 4 7 1 0 2 14Heavy rail 1490 3164 3394 2686 2588 2174 1966 864 762 676 630 861Light rail 181 238 222 220 200 213 217 287 236 353 377 463

Otherb 49 45 87 39 51 29 24 8 11 12 5 28

Aggravated assaulte 2701 3084 3105 2314 2448 2217 2286 2560 1638 1330 1332 1768Motor bus 1941 1677 1294 1186 1268 1070 1146 1383 957 774 760 1007Commuter rail 133 69 92 80 97 58 109 102 33 78 115 172Demand responsive 6 13 13 13 14 16 8 24 4 3 6 19Heavy rail 437 1074 1051 837 903 839 786 815 395 279 249 334Light rail 157 199 143 170 135 208 187 227 220 184 177 217

Otherb 27 52 512 28 31 26 50 9 29 12 25 19

Reported Offenses Property CrimeTheftf 10596 13238 14486 11830 12896 13393 13636 12843 8146 7847 6007 6409

Motor bus 2738 3408 2920 2327 2487 2548 2826 2631 1846 1787 1593 1520Commuter rail 2238 2262 2345 2021 1872 2139 2001 1912 563 730 1224 1449Demand responsive 2 8 40 15 4 19 5 42 8 4 2 13Heavy rail 4625 6794 8321 6807 7789 7856 7807 7158 4802 4396 2204 2527Light rail 451 609 479 496 530 724 706 1055 877 915 856 847Otherb 542 157 381 164 214 107 291 45 50 15 128 53

Vehicle theftg 2182 2261 2276 2225 1876 2112 1909 2117 1800 1584 1361 1051Motor bus 263 306 198 208 198 169 213 222 149 169 382 229Commuter rail 253 125 262 470 272 367 308 152 67 63 54 126Demand responsive 0 1 3 9 28 6 6 5 3 1 0 8Heavy rail 1536 1694 1630 1234 1203 1285 1143 1426 1267 966 490 388Light rail 128 135 179 273 156 279 226 310 306 385 434 298

Otherb 2 0 4 31 19 6 13 2 8 0 1 2

Burglaryh 1759 1650 1757 491 415 563 625 467 429 601 393 681Motor bus 156 104 94 75 86 142 120 95 79 160 142 100Commuter rail 178 177 260 217 170 191 188 78 83 96 112 154Demand responsive 2 0 4 3 1 6 2 2 2 1 1 1Heavy rail 1367 1278 1343 110 91 82 119 95 53 40 25 54Light rail 43 78 48 70 42 131 180 197 212 303 105 367

Otherb 13 13 8 16 25 11 16 0 0 1 8 5

Arsoni 63 96 75 60 53 50 44 23 23 42 27 26Motor bus 29 67 33 21 15 24 12 8 9 23 11 13Commuter rail 14 1 21 10 12 6 9 8 3 2 2 1Demand responsive 0 0 0 0 0 0 0 0 0 0 0 0Heavy rail 14 22 16 27 20 16 15 4 10 7 2 5Light rail 6 6 5 2 6 4 8 0 1 10 12 6

Otherb 0 0 0 0 0 0 0 3 0 0 0 1

Reported Offenses ArrestsOther assaultsj 2991 3088 2697 2787 2641 2799 2441 1589 1752 1546 1530 2141

Motor bus 1896 1571 1439 1400 1217 1159 1024 715 800 710 703 1023Commuter rail 144 106 140 122 164 142 156 72 37 136 181 196Demand responsive 4 0 16 3 4 3 6 12 2 3 3 29Heavy rail 645 932 881 898 888 1085 999 662 750 572 462 630Light rail 181 330 195 282 269 354 204 101 153 107 164 214

Otherb 121 149 26 82 99 56 52 27 10 18 17 49

Table 2-34 Reports of Violent Crime Property Crime and Arrests by Transit Mode

Vandalismk 17228 8627 9539 6571 6895 7312 2971 1130 953 994 1298 1748Motor bus 13343 6167 5262 3656 4178 4579 1410 523 456 429 568 589Commuter rail 1071 309 659 778 507 264 293 145 9 122 276 507Demand responsive 12 17 8 10 16 7 9 7 2 0 5 5Heavy rail 1157 1339 1128 1067 1222 1200 984 190 220 201 209 213Light rail 1505 609 2084 947 892 1215 246 256 246 235 233 408

Otherb 140 186 398 113 80 47 29 9 20 7 7 26

Sex offensesl 664 803 1047 962 1009 844 798 N N N N NMotor bus 242 260 363 258 321 220 178 N N N N NCommuter rail 100 41 82 91 85 84 80 N N N N NDemand responsive 5 0 6 2 5 1 3 N N N N NHeavy rail 249 430 517 541 515 477 474 N N N N NLight rail 59 71 79 68 80 58 60 N N N N NOtherb 9 1 0 2 3 4 3 N N N N N

Drug abuse violationsm 2578 3944 4355 3792 4131 4083 4339 N N N N NMotor bus 1037 2122 1970 1414 1705 1443 1179 N N N N NCommuter rail 303 393 477 495 303 196 389 N N N N NDemand responsive 1 0 15 21 8 1 2 N N N N NHeavy rail 1078 1130 1530 1550 1606 1915 2015 N N N N NLight rail 151 298 336 271 501 520 739 N N N N NOtherb 8 1 27 41 8 8 15 N N N N N

Driving under the influencen 466 129 205 176 204 194 284 N N N N NMotor bus 91 82 101 101 132 67 156 N N N N NCommuter rail 26 21 22 21 12 44 26 N N N N NDemand responsive 0 0 1 4 0 0 1 N N N N NHeavy rail 52 8 22 21 42 39 57 N N N N NLight rail 292 16 31 21 15 33 22 N N N N NOtherb 5 2 28 8 3 11 22 N N N N N

Drunkennesso 10479 6921 8632 12643 11487 6087 8033 N N N N NMotor bus 6457 3936 5346 3046 3609 3337 4693 N N N N NCommuter rail 71 23 226 156 112 170 108 N N N N NDemand responsive 2 2 46 34 2 1 4 N N N N NHeavy rail 1511 1617 1601 7340 5831 1240 1308 N N N N NLight rail 2255 1305 1258 1844 1913 1316 1598 N N N N NOtherb 183 38 155 223 20 23 322 N N N N N

Disorderly conductp 22206 26178 25325 15897 15971 27314 32569 N N N N NMotor bus 4681 5025 6978 4521 5471 3745 3253 N N N N NCommuter rail 810 1085 1399 1525 797 706 607 N N N N NDemand responsive 5 8 47 5 5 6 2 N N N N NHeavy rail 15258 19183 15309 8227 7856 21087 27626 N N N N NLight rail 1164 800 1177 1408 1767 1737 1046 N N N N NOtherb 288 77 415 211 75 33 35 N N N N N

Trespassingq 3362 3497 7444 6049 3670 4303 4597 2278 4126 3162 3220 4503Motor bus 928 604 1225 1283 1065 1329 1040 937 1262 1115 1138 1392Commuter rail 845 674 4150 2850 1080 709 1034 475 270 664 730 1033Demand responsive 0 0 2 2 0 0 0 13 2 1 12 36Heavy rail 1155 1208 1398 1254 1044 1267 1228 483 616 663 634 853Light rail 400 653 463 443 436 985 1278 349 1951 699 677 1151

Otherb 34 358 206 217 45 13 17 21 25 20 29 38

Fare evasionr 33903 47873 53406 58856 55194 53863 47258 74385 69950 103156 129590 126092Motor bus 3172 2372 1819 1694 2388 591 847 3089 7427 10270 21787 4372Commuter rail 140 334 310 204 167 179 566 3849 3873 73 194 11768Demand responsive 1 1 2 5 1 3 5 201 1 43 2 448Heavy rail 8247 39957 46106 40350 35033 28933 24852 20469 16459 25775 15901 12611Light rail 22212 1185 912 12798 17320 24124 20945 46766 42187 66991 91701 96868

Otherb 131 4024 4257 3805 285 33 43 11 3 4 5 25

Curfew and loitering lawss 1878 872 1960 1161 3022 3630 3391 N N N N NMotor bus 1201 241 1112 291 495 469 403 N N N N NCommuter rail 19 27 223 72 172 329 330 N N N N NDemand responsive 0 1 5 0 0 0 0 N N N N NHeavy rail 462 493 530 680 1789 2324 2396 N N N N NLight rail 161 95 80 106 509 498 251 N N N N NOtherb 35 15 10 12 57 10 11 N N N N N

KEY N = data do not exist

d The taking or attempting to take anything of value from the care custody or control of a person or persons by force or threat of force or violence andor by putting the victim in fear The use or threat of force includes firearms knives or cutting instruments other dangerous weapons (clubs acid explosives) and strong-arm techniques (hands fists feet)

a The killing of one or more human beings by another This includes murder non-negligent manslaughter and manslaughter by negligence b Other transit mode includes automated guideway cable car ferryboat trolleybus vanpool monorail inclined plane and starting in 2001 the Alaska Railroadc The carnal knowledge of a female forcibly and against her will This includes assault to rape or attempt to rape Beginning in 2006 a higher threshold was required for an incident to be recorded this lead to a significant decrease compared to previous years

e An unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm f The unlawful taking carrying leading or riding away of property from the possession or constructive possession of another This includes pocket-picking purse-snatching shoplifting thefts from motor vehicles thefts of motor vehicle parts and accessories theft of bicycles theft from buildings theft from coin-operated devices or machines and all other theft not specifically classified g The theft or attempted theft of a motor vehicle A motor vehicle is a self-propelled vehicle that runs on the surface of land and not on rails Examples of motor vehicles are automobiles trucks buses motor cycles and motor scooters

h The unlawful entry of a structure to commit a felony or a theft This includes offenses known locally as burglary (any degree) unlawful entry with intent to commit a larceny or felony breaking and entering with intent to commit a larceny housebreaking safe-cracking and all attempts at these offenses i To unlawfully and intentionally damage or attempt to damage any real or personal property by fire or incendiary devicej An unlawful attack or attempt by one person upon another where no weapon was used or which did not result in serious or aggravated injury to the victim This includes simple assault minor assault assault and battery injury by culpable negligence intimidation coercion hazing and all attempts to commit these offenses k The willful or malicious destruction injury disfigurement or defacement of any public or private property real or personal without consent of the owner orperson having custody or control by cutting tearing breaking marking painting drawing covering with filth or any other such means as may be specified by local law l Any sexual acts except forcible rape prostitution and commercialized vice This includes offenses against chastity common decency morals and the like such as adultery and fornication buggery incest indecent exposure indecent liberties seduction sodomy or crime against nature statutory rape (noforce) and all attempts to commit any of the above m Arrests requested based on the narcotics used This includes all arrests for violations of state and local laws specifically those relating to the unlawful possession sale use growing manufacturing and making of narcotic drugs n The driving or operating of any vehicle or common carrier while drunk or under the influence of liquor or narcoticso Arrests for all offenses of drunkenness which is the consumption of alcoholic beverages to the extent that onersquos mental faculties and physical coordination are substantially impaired This includes drunkenness drunk and disorderly common or habitual drunkard and intoxication p All charges of committing a breach of the peace This includes affray unlawful assembly disturbing the peace disturbing meetings disorderly conduct instate institutions at court at fairs on trains or public conveyances etc blasphemy profanity and obscene language desecrating the flag refusing to assist an officer and all attempts to commit any of the above q To unlawfully enter land a dwelling or other real propertyr The unlawful use of transit facilities by riding without paying the applicable fares All arrests for violations of local curfew or loitering ordinances where such laws exist

NOTESData are from transit agencies in urbanized areas over 200000 population and include patrons employees and others The figures for violent and property crime follow the FBI Uniform Crime Reporting Handbook (Washington DC 1984) and are based on records of calls for service complaints andor investigations These figures are for reported offenses and do not reflect the findings of a court coroner jury or decision of a prosecutor Security data was first reported to the Federal Transit Administration in 1995 and were not compiled for earlier years

1995-2001 US Department of Transportation Federal Transit Administration National Transit Database Internet site httpwwwntdprogramcom as of May 6 2003 tables 25-27 and similar tables in earlier editions 2002-05 Ibid personal communications June 14 20072006-07 Personal communication Federal Transit Administrarion Office of Safety and Security as of Apr 30 2008

Beginning in 2002 data are no longer collected for the following offenses sex offenses drug abuse violations driving under the influence drunkeness disorderly conduct and curfew and loitering laws Analysts for the FTA believe the change in reporting requirements in 2002 may have resulted in unreliable data in that year The reliability of reporting is believed to be much better in 2003 and is expected to improve in the future

SOURCES

Section ERailroad

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Passengers on trains 4 3 3 8 3 58 5 0 12 6 4 14 4 3 7 3 3 16 2 4

Railroad only 4 3 3 8 3 58 5 0 12 6 2 3 4 3 7 2 3 16 2 4Grade crossing 0 0 0 0 0 0 0 0 0 0 2 11 0 0 0 1 0 0 0 0

Employees on duty 97 46 40 35 34 47 31 34 33 37 27 31 24 22 20 19 25 25 16 17Railroad only 97 44 35 34 32 44 30 32 32 37 23 29 22 21 19 18 23 23 12 16Grade crossing 0 2 5 1 2 3 1 2 1 0 4 2 2 1 1 1 2 2 4 1

Employees not on duty 4 2 0 1 1 4 0 2 0 0 2 0 1 0 1 1 0 0 0 0Railroad only 3 2 0 1 1 4 0 2 0 0 2 0 1 0 1 1 0 0 0 0Grade crossing 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Contractor employees 7 4 3 3 11 6 3 7 9 11 5 12 3 4 10 5 4 5 7 5Railroad only 7 4 3 3 10 6 3 7 9 11 5 11 3 4 9 4 4 5 7 5Grade crossing 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0

Nontrespassersa 739 507 551 484 475 489 505 443 365 363 326 305 335 269 267 205 242 (R) 249 (R) 237 200Railroad only 16 10 15 16 12 18 44 32 27 15 9 8 19 11 18 8 18 (R) 23 2 15Grade crossing 723 497 536 468 463 471 461 411 338 348 317 297 316 258 249 197 224 (R) 226 (R) 235 185

Trespassers 566 474 700 663 646 675 682 660 620 646 644 570 570 673 646 635 621 (R) 593 (R) 648 630Railroad only 457 391 543 524 533 523 529 494 471 533 536 479 463 511 540 501 475 (R) 463 (R) 518 477Grade crossing 109 83 157 139 113 152 153 166 149 113 108 91 107 162 106 134 146 (R) 130 (R) 130 153

Volunteer employees N N N N N N N N N 0 0 0 0 0 0 0 0 0 0 0Railroad only N N N N N N N N N 0 0 0 0 0 0 0 0 0 0 0Grade crossing N N N N N N N N N 0 0 0 0 0 0 0 0 0 0 0

Railroad only and grade crossing total 1417 1036 1297 1194 1170 1279 1226 1146 1039 1063 1008 932 937 971 951 868 895 (R) 888 (R) 910 856Railroad only 584 454 599 586 591 653 611 567 551 602 577 530 512 550 594 534 523 (R) 530 (R) 541 517Grade crossing 833 582 698 608 579 626 615 579 488 461 431 402 425 421 357 334 372 358 (R) 369 339

Motor vehicles 748 521 614 535 506 554 542 508 415 419 369 345 361 345 310 281 290 (R) 283 304 263Nonmotor vehicles 85 61 84 73 73 72 73 71 73 42 62 57 64 76 47 53 82 (R) 75 (R) 65 76

KEY N = data do not exist R = revised

Table 2-35 Railroad and Grade-Crossing Fatalities by Victim Class

1995-2007 Ibid Table 408 and personal communication Internet site httpsafetydatafradotgovOfficeofSafety as of May 14 2008

a Beginning in 1997 nontrespassers off railroad property are also included

SOURCES

Railroad only includes fatalities from train accidents train incidents and nontrain incidents (excludes highway-rail grade crossings) This table includes information for both freight and passenger railroad operations

NOTE

1980-94 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) and the AccidentIncident Bulletin (Washington DC Annual issues)

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Passengers on trains 593 657 473 382 411 559 497 573 513 601 535 481 658 746 877 726 697 935 757 814

Railroad only 569 646 462 360 329 515 413 543 489 558 516 438 648 726 851 652 670 902 670 762Grade crossing 24 11 11 22 82 44 84 30 24 43 19 43 10 20 26 74 27 33 87 52

Employees on duty 56331 29822 20970 19626 17755 15363 13080 10777 9199 8595 8398 8622 8423 7815 6644 6248 6018 5804 5212 5173Railroad only 56186 29667 20801 19479 17598 15220 12955 10654 9120 8484 8276 8482 8323 7718 6534 6173 5902 5694 5119 5074Grade crossing 145 155 169 147 157 143 125 123 79 111 122 140 100 97 110 75 116 110 93 99

Employees not on duty 671 419 326 362 310 348 306 252 228 263 219 216 286 209 213 0 200 172 169 176Railroad only 669 418 324 362 309 347 305 248 226 260 216 215 283 208 213 0 196 169 167 175Grade crossing 2 1 2 0 1 1 1 4 2 3 3 1 3 1 0 0 4 3 2 1

Contractor employees 74 110 242 219 226 262 252 269 208 334 380 384 368 383 375 372 360 414 404 434Railroad only 74 109 240 216 224 261 251 268 208 333 379 384 367 380 374 370 359 412 404 405Grade crossing 0 1 2 3 2 1 1 1 0 1 1 0 1 3 1 2 1 2 0 29

Nontrespassersa 3849 2562 2339 2110 1909 1856 1913 1869 1660 1540 1236 1342 1294 1201 2380 1056 1242 1450 1181 1090Railroad only 384 285 349 423 408 432 475 372 431 370 243 335 381 388 1732 391 548 822 539 529Grade crossing 3465 2277 1990 1687 1501 1424 1438 1497 1229 1170 993 1007 913 813 648 665 694 628 642 561

Trespassers 728 734 793 769 772 733 764 700 750 728 677 650 606 627 609 616 656 685 702 651Railroad only 474 492 560 534 540 509 452 461 474 516 513 445 414 404 395 398 404 417 474 393Grade crossing 254 242 233 235 232 224 312 239 276 212 164 205 192 223 214 218 252 268 228 258

Volunteer employees N N N N N N N N N 6 14 5 8 4 5 7 5 1 7 7Railroad only N N N N N N N N N 6 13 5 8 4 5 7 5 1 7 7Grade crossing N N N N N N N N N 0 1 0 0 0 0 0 0 0 0 0

Railroad only and grade crossing total 62246 34304 25143 23468 21383 19121 16812 14440 12558 12067 11459 11700 11643 10985 11103 9025 9178 9461 8432 8345Railroad only 58356 31617 22736 21374 19408 17284 14851 12546 10948 10527 10156 10304 10424 9828 10104 7991 8084 8417 7380 7345Grade crossing 3890 2687 2407 2094 1975 1837 1961 1894 1610 1540 1302 1396 1219 1157 999 1034 1094 1044 1052 1000 Motor vehiclesb 3739 2561 2332 2029 1891 1760 1885 1825 1545 1494 1257 1338 1169 1110 939 1000 1058 1002 1020 962 Non_motorvehiclesb

151 126 75 65 84 77 76 69 65 46 46 58 50 47 60 35 36 44 34 41

Table 2-36 Railroad and Grade-Crossing Injured Persons by Victim Class

SOURCES1980-94 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) and AccidentIncident Bulletin (Washington DC Annual issues) 1995-2007 Ibid Table 408 and personal communication Internet site httpsafetydatafradotgovOfficeofSafety as of Apr 10 2008

b The breakout of grade crossing injures was collected at a different point in time then total grade crossing injuries and may not sum to the total of grade crossing injures

NOTES

KEY N = data do not exist R = revised

a Beginning in 1997 nontrespassers off railroad property are also included

Railroad only includes fatalities from train accidents train incidents and nontrain incidents (excludes highway-rail grade crossings) This table includes information for both freight and passenger railroad operations

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007Fatalities total 29 8 10 19 6 67 12 14 25 18 4 9 10 6 15 4 13 33 6 8

Derailments 8 2 2 10 2 53 2 2 6 2 1 1 2 1 7 1 2 2 3 4Collisions 20 6 8 5 1 14 8 7 16 10 1 7 1 4 4 0 8 6 0 0Other 1 0 0 4 3 0 2 5 3 6 2 1 7 1 4 3 3 25 3 4

Injuries total 665 476 451 326 171 308 262 294 281 185 129 129 275 310 1884 232 346 778 208 220Derailmentsb 286 197 272 174 71 179 120 90 98 111 61 41 121 113 1691 121 160 233 84 66Collisions 341 223 139 103 59 87 118 151 146 55 32 62 89 145 151 56 142 92 85 108Other 38 56 40 49 41 42 24 53 37 19 36 26 65 52 42 55 44 453 39 46

Accidents total 8205 3275 2879 2658 2359 2611 2504 2459 2443 2397 2575 2768 2983 3023 2738 (R) 3016 3380 3259 2951 2580Derailments 6442 2495 2146 1936 1734 1930 1825 1742 1816 1741 1757 1961 2112 2234 1989 (R) 2130 2431 2301 2171 1869Collisions 1201 366 315 261 207 205 240 235 205 202 168 205 238 220 192 198 237 251 198 200Other 562 414 418 461 418 476 439 482 422 454 650 602 633 569 557 (R) 688 712 707 582 511

1995-2007 Ibid httpsafetydatafradotgovOfficeofSafety Table 309 as of Apr 8 2008

a Excludes highway-rail grade crossing accidentsb In 2002 1441 injures were due to a single derailment in North Dakota involving hazardous materialsNOTESTrain accidents only This table includes information for both freight and passenger railroad operations

Table 2-37 Train Fatalities Injuries and Accidents by Type of Accidenta

SOURCES1980-94 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) tables 1-1 1-3

KEY R = revised

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Passenger fatalitiesa 3 8 3 58 5 0 12 6 4 14 4 3 7 3 3 16 2 4Injured persons 473 382 411 559 497 573 513 601 535 481 658 746 877 (R) 726 679 (R) 935 761 938Train-miles passenger trains (millions) 72 74 74 75 75 76 77 78 78 82 84 88 90 89 89 90 92 95Fatalities per 100 million passenger train-miles 4 11 4 77 7 0 16 8 5 17 5 3 8 3 3 18 2 4Injuries per 100 million passenger train-miles (R) 657 (R) 516 (R) 555 (R) 745 (R) 663 (R) 754 (R) 666 770 683 584 781 850 979 (R) 812 760 (R) 1040 828 990

NOTE

Table 2-38 Railroad Passenger Safety Data

1997-2001 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2001 (Washington DC August 2002) table 2-42002 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2002 (Washington DC March 2004) table 2-42003-04 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2003 (Washington DC October 2005) table 2-42005-07 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report (Washington DC Annual Issues) table 2-4

KEY R = revised

a In 1993 a barge struck a rail bridge in Alabama causing an Amtrak train to derail into the waterway below leading to 42 passenger deaths

A train-mile is the movement of a train (which can consist of many cars) the distance of 1 mile A train-mile differs from a vehicle-mile which is the movement of 1 car (vehicle) the distance of 1 mile A 10-car (vehicle) train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles to vehicle miles

SOURCESFatalities and injuries1990-2001 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2001 (Washington DC August 2002) table 1-22002-07 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report (Washington DC Annual Issues) table 1-2

Train-miles passenger trains1990-96 US Department of Transportation Bureau of Transportation Statistics calculations (sum of all commuter rail train-miles reported to USDOT Federal Transit Administration plus Amtrak train-miles)

1970 1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Fatalities 785 575 584 454 599 567 551 602 577 530 512 550 594 534 (R) 523 (R) 530 (R) 541 517Injured persons a 17934 50138 58696 31617 22736 12546 10948 10227 10156 10304 10424 9828 10104 (R) 8217 (R) 8084 (R) 8423 (R) 7389 7575Accidents b 8095 8041 8205 3275 2879 2459 2443 2397 2575 2768 2983 3023 2738 (R) 3017 (R) 3380 (R) 3260 (R) 2957 2593Train-miles (millions) cd 839 755 718 571 609 670 671 677 683 712 723 712 729 744 770 790 (R) 809 792Rate per 100 million train-milesFatalities 94 76 81 80 98 85 82 89 84 74 71 77 82 72 (R) 68 (R) 67 (R) 67 65Injuries N 6641 8179 5538 3735 1873 1632 1511 1487 1446 1442 1381 1387 (R) 1105 (R) 1050 (R) 1066 (R) 913 957Accidents 965 1065 1143 574 473 367 364 354 377 389 413 425 376 (R) 406 (R) 439 (R) 412 (R) 365 328Property damage (current $ millions) 1216 1774 2674 1793 1987 1892 2123 2107 2339 2451 2632 3145 2665 2980 3251 3374 3053 3053

NOTE

KEY N = data do not exist R = revised

a 1970 injuries are not comparable to later years due to a change in reporting system

Table 2-39 Railroad System Safety and Property Damage Data (Excludes highway-rail grade-crossing accidents)

1970-90 US Department of Transportation Federal Transit Administration National Transit Database (Washington DC annual issues) form 406

1995-2000 Ibid Railroad Safety Statistics Annual Report 2000 (Washington DC July 2001) tables 1-1 and 3-12001-07 Ibid Internet site httpsafetydatafradotgovOfficeofSafetyQueryDefaultasp as of May 15 2008Train-miles

This table includes information for both freight and passenger railroad operations

1995-99 US Department of Transportation Federal Railroad Administration Internet site httpsafetydatafradotgovOfficeofSafetyFormsDefaultasp as of Aug 22 20022000-07 Ibid Internet site httpsafetydatafradotgovOfficeofSafetyQueryDefaultasp as of May 15 2008

b Train accidents only excludes highway-rail grade-crossing accidents

c Train-miles in this table differ from train-miles in the vehicle-miles table in Chapter 1 Train-miles reported in Chapter 1 include only Class I rail (see glossary for definition) while this table includes Class I rail Group II rail and other rail In 2005 Group II rail accounted for 78 million train-miles and other rail for 29 million train-miles Moreover the vehicle-miles table in Chapter 1 includes only train-miles between terminals andor stations thus excluding yard and switching miles In 2005 Class I yardswitching train-miles totaled 67 million train-miles Note that commuter rail safety data are reported in the rail mode and the transit mode Commuter rail train-miles are included in Class I rail and Group II rail in this tabled A train-mile is the movement of a train (which can consist of many cars) the distance of 1 mile A train-mile differs from a vehicle-mile which is the movement of 1 car (vehicle) the distance of 1 mile A 10-car (vehicle) train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles to vehicle-miles

SOURCES Fatalities injuries accidents and property damage 1970-90 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development AccidentIncident Bulletin (Washington DC annual issues) tables 14 and 15

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Employee fatalities total 40 35 34 47 31 34 33 37 27 31 24 22 20 19 25 25 16 17Grade-crossing accidents and incidents 5 1 2 3 1 2 1 0 4 2 2 1 1 1 2 2 4 1Train accidents and incidents only (grade-crossing excluded) 35 34 32 44 30 32 32 37 23 29 22 21 19 18 23 23 12 16Employee injuries total 20970 19626 17755 15363 13080 10777 9199 8295 8398 8622 8423 7815 6644 (R) 6248 (R) 6018 (R) 5809 (R) 5219 5233Grade-crossing accidents and incidents 169 147 157 143 126 123 79 111 122 140 100 97 110 76 116 (R) 110 (R) 95 102Train accidents and incidents only (grade-crossing excluded) 20801 19479 17598 15220 12954 10654 9120 8184 8276 8482 8323 7718 6534 (R) 6172 (R) 5902 (R) 5699 (R) 5124 5131Employee hours (millions) 5536 5307 5170 5197 5186 5103 5046 5039 5149 5100 4909 4751 4541 4511 4584 4784 (R) 4857 4828Fatality rates per million employee hoursAll accidents incidents 007 007 007 009 006 007 007 007 005 006 005 005 004 (R) 004 (R) 005 005 003 004Grade-crossing accidents and incidents lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001Train accidents and incidents only (grade-crossing excluded) 006 006 006 008 006 006 006 007 004 006 004 004 004 (R) 004 (R) 005 005 002 003Injury rates per million employee hoursAll accidents incidents 379 370 343 296 252 211 182 165 163 169 172 164 146 (R) 138 (R) 131 (R) 121 1074571 108Grade-crossing accidents and incidents 03 03 03 03 02 02 02 02 02 03 02 02 02 02 03 (R) 02 02 02Train accidents and incidents only (grade-crossing excluded) 376 367 340 293 250 209 181 162 161 166 170 162 144 137 (R) 129 (R) 119 106 106Train-miles (millions)ab 609 577 594 614 655 670 671 677 683 712 723 712 729 744 770 790 809 792Fatality rates per million train-milesAll accidents incidents 007 006 006 008 005 005 005 005 004 004 003 003 003 0025554 0032457 0031626 0019776 002Grade-crossing accidents and incidents lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001Train accidents and incidents only (grade-crossing excluded) 006 006 005 007 005 005 005 005 003 004 003 003 003 002 003 003 001 002Injury rates per million train-milesAll accidentsincidents 344 340 299 250 200 161 137 123 123 121 117 110 91 (R) 84 (R) 78 (R) 73 (R) 65 66Grade-crossing accidents and incidents 03 03 03 02 02 02 01 02 02 02 01 01 02 01 (R) 02 (R) 01 (R) 01 01Train accidents and incidents only (grade-crossing excluded) 342 338 296 248 198 159 136 121 121 119 115 108 90 (R) 83 (R) 77 (R) 72 (R) 63 65KEY R = revised

a Train-miles in this table differ from train-miles in the vehicle-miles table in Chapter 1 Train-miles reported in Chapter 1 include only Class I rail (see glossary for definition) while this table includes Class I rail Group II rail and other rail In 2005 Group II rail accounted for 78 million train-miles and other rail for 29 million train-miles Moreover the vehicle-miles table in Chapter 1 includes only train-miles between terminals andor stations thus excluding yard and switching miles In 2005 Class I yardswitching trainmiles totaled 67 million train-miles Note that commuter rail safety data are reported in the rail mode and in the transit mode Commuter rail train-miles are included in Class Irail and Group II rail in this table

Table 2-40 Fatalities and Injuries of On-Duty Railroad Employees

2000-07 Ibid Internet site httpsafetydatafradotgovOfficeofSafetyQueryDefaultasp as of Mar 9 2008

b A train-mile is the movement of a train (which can consist of many cars) the distance of 1 mile A train-mile differs from a vehicle-mile which is the movement of 1 car (vehicle) the distance of 1 mile A 10-car (vehicle) train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles to vehicle-miles

NOTE

1996-99 Ibid Railroad Safety Statistics Annual Report (Washington DC annual issues) tables 1-3 2-4 and 3-1

This table includes information for both freight and passenger railroad operations

SOURCES1990-95 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC annual issues)

Section FWater

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005Fatalitiesa 178 243 206 131 85 30 97 105 77 53 55 48 69 58 53 53 61 58 53 64Injuries 105 97 180 172 175 110 170 171 182 154 254 120 130 152 150 210 182 263 233 169Accidentsb 2582 3310 4624 3439 3613 2222 5583 6126 6743 5349 5260 5504 5767 5526 5403 4958 3658 3250 3232 3221Vesselsc 4063 5685 7694 5694 5494 3514 7190 7913 9030 7802 7695 7802 7824 7265 7103 6439 6263 5232 6330 8007Property damage (current $ millions) U U U U U U 2017 1815 2644 1590 2008 1582 2349 1771 1805 1009 3347 1267 1517 7194KEY R = revised U = data are not available

a Fatalities include the number of people who died or were declared missing subsequent to a marine accidentb Accidents in this table include the number of marine casualty cases reported to the US Coast Guard in accordance with 46 USC 405

Table 2-41 Waterborne Transportation Safety and Property Damage Data Related to Vessel Casualties

For 1992-97 data are obtained from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During this period data are derived by combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 and after are from the Marine Information for Safety and Law Enforcement System Data for prior 1992 come from other sources and may not be directly comparable

US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication as of November 2008

c More than one vessel may be involved in a marine accident Data from 1992 to 2003 has been revised to include vessels involved in pollution incidents which the United States Coast Guard considers to be a vessel casualty Data includes all vessel mishaps involving marine pollution discharges

All deaths and injuries cited result from vessel casualties such as groundings collisions fires or explosions The data are for all commercial vessels under US jurisdiction including US flag vessels anywhere in the world and foreign flag vessels within the jurisdiction of the United States (within 12 miles or having an interaction with a US entity such as a platform within 200 miles or a collision with a US ship) Commercial fishing vessels are included

SOURCE

NOTES

Table 2-42 Waterborne Transportation Safety Data not Related to Vessel Casualties1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Fatalitiesa 420 330 281 130 101 56 (R) 89 (R) 79 (R) 89 (R) 92 (R) 86 (R) 84 (R) 95 (R) 74 (R) 69 (R) 49 (R) 41 (R) 50 (R) 35 34Injuries U U U U U U (R) 936 (R) 919 (R) 1081 (R) 1170 (R) 951 (R) 779 (R) 520 (R) 429 (R) 509 (R) 412 (R) 475 (R) 472 (R) 425 425Vesselsb U 321 274 128 98 51 (R) 1427 (R) 1378 (R) 1592 (R) 1726 (R) 1283 (R) 968 (R) 526 (R) 445 (R) 514 (R) 440 (R) 594 (R) 562 (R) 471 504KEY R = revised U = data are not available

a Fatalities include people who were declared missingb Figures represent the number of vessels involved in nonvessel casualties These vessels were not part of the accident but the accident may have occurred on the vessel (eg crewmembers swept overboard by a wave)

NOTES

Figures reflect the number of deaths and injuries to people on commercial vessels not resulting from a casualty to the vessel These injuries and fatalities result from such incidents as slips falls or electrocutions Deaths and injuries from disease homocides suicides fights and diving accidents have been excluded The data reflect deaths and injuries to people on both US and foreign flag vessels within the jurisdiction of the United States (within 12 miles of US coast) and on US flag vessels anywhere in the world

1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 to 2004 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable There is a significant difference in the figures provided in 2005 from previous years due to changes in the way marine safety related personnel casualties are now measured Also many of the figures for incident investigations in the years 2002 and later are derived from predecisional material and these numbers are subject to change

SOURCE US Department of Homeland Security (formerly US Department of Transportation) US Coast Guard Data Administration Division (G-MRI-1) personal communications June 29 2004 June 8 2005 and June 22 2007

Table 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalitiesa 739 1360 1418 1466 1360 1116 865 924 816 800 784 829 709 821 815 734 (c) 701 681 750 703 676 697 710 685Injuries 929 927 780 2136 2650 2757 3822 3967 3683 3559 4084 4141 4442 4555 4612 4315 4355 4274 4062 3888 3363 3451 3474 3673Accidents 2738 3752 3803 6308 5513 6237 6411 6573 6048 6335 6906 8019 8026 8047 8061 7931 7740 6419 5705 5438 4904 4969 4967 5191Vessels involved 3562 4778 4762 8002 6954 8305 8591 8821 8206 8688 9722 11534 11306 11396 11368 11190 10984 8974 7907 7363 6725 6628 6753 6932Numbered boats (thousands)b 2500 4138 5128 7303 8577 9589 10996 11068 11132 11283 11430 11735 11878 12313 12566 12738 12782 12876 12854 12795 12781 12942 12746 12876Rates per 100000 numbered boatsFatalities 296 329 277 201 159 116 79 83 73 71 69 71 60 67 65 58 55 53 58 55 53 54 56 53Injuries 372 224 152 292 309 288 348 358 331 315 357 353 374 370 367 339 341 332 316 304 263 267 273 285Accidents 1095 907 742 864 643 650 583 594 543 561 604 683 676 654 641 623 606 499 444 425 384 384 390 403Accident reports citing alcohol involvementc N N N N N 279 568 513 504 381 389 472 601 698 704 633 696 375 357 362 331 402 403 391Property damage (current $ millions)d 32 47 82 104 164 200 238 248 348 202 259 215 232 290 310 289 347 313 392 404 350 387 437 531KEY N = data do not exist

a The numbers for recreational boating safety fatalities in 2000 are raw numbers--CG reports a 6 addition as instructed by the DOT Inspector General because it found a discrepancy in a review of the Search and Rescue Management Information System (SARMIS) and BARD data (See the discussion found in the DOT FY2003 Performance PlanReport on pg 135 under data details of recreational boating fatalities)b Number of boats for 1960 are estimatesc Starting in 2001 only cases where alcohol is determined to be a direct or inderect cause of an accident are reported Previous years include cases where alcohol was present but played no role in the accidentd 1992 data includes $11 million damage due to a boat fire

NOTEOnly a small fraction of property damages and nonfatal accidents are reported to the US Coast Guard

SOURCE

Vessels involved for 1960 and 1965 and property damage for 1994 and 1995

US Department of Transportation US Coast Guard (CG) Office of Boating Safety personal communication May 15 2002

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of Mar 17 2009

Table 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalitiesa 739 1360 1418 1466 1360 1116 865 924 816 800 784 829 709 821 815 734 (c) 701 681 750 703 676 697 710 685Injuries 929 927 780 2136 2650 2757 3822 3967 3683 3559 4084 4141 4442 4555 4612 4315 4355 4274 4062 3888 3363 3451 3474 3673Accidents 2738 3752 3803 6308 5513 6237 6411 6573 6048 6335 6906 8019 8026 8047 8061 7931 7740 6419 5705 5438 4904 4969 4967 5191Vessels involved 3562 4778 4762 8002 6954 8305 8591 8821 8206 8688 9722 11534 11306 11396 11368 11190 10984 8974 7907 7363 6725 6628 6753 6932Numbered boats (thousands)b 2500 4138 5128 7303 8577 9589 10996 11068 11132 11283 11430 11735 11878 12313 12566 12738 12782 12876 12854 12795 12781 12942 12746 12876Rates per 100000 numbered boatsFatalities 296 329 277 201 159 116 79 83 73 71 69 71 60 67 65 58 55 53 58 55 53 54 56 53Injuries 372 224 152 292 309 288 348 358 331 315 357 353 374 370 367 339 341 332 316 304 263 267 273 285Accidents 1095 907 742 864 643 650 583 594 543 561 604 683 676 654 641 623 606 499 444 425 384 384 390 403Accident reports citing alcohol involvementc N N N N N 279 568 513 504 381 389 472 601 698 704 633 696 375 357 362 331 402 403 391Property damage (current $ millions)d 32 47 82 104 164 200 238 248 348 202 259 215 232 290 310 289 347 313 392 404 350 387 437 531KEY N = data do not exist

a The numbers for recreational boating safety fatalities in 2000 are raw numbers--CG reports a 6 addition as instructed by the DOT Inspector General because it found a discrepancy in a review of the Search and Rescue Management Information System (SARMIS) and BARD data (See the discussion found in the DOT FY2003 Performance PlanReport on pg 135 under data details of recreational boating fatalities)b Number of boats for 1960 are estimatesc Starting in 2001 only cases where alcohol is determined to be a direct or inderect cause of an accident are reported Previous years include cases where alcohol was present but played no role in the accidentd 1992 data includes $11 million damage due to a boat fire

NOTEOnly a small fraction of property damages and nonfatal accidents are reported to the US Coast Guard

SOURCE

Vessels involved for 1960 and 1965 and property damage for 1994 and 1995

US Department of Transportation US Coast Guard (CG) Office of Boating Safety personal communication May 15 2002

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of Mar 17 2009

Table 2-44 Personal Watercraft Safety Data1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities 5 20 20 28 26 34 35 56 68 57 84 78 66 68 50 71 57 56 65 68 67Injured persons 156 254 402 532 708 730 915 1338 1617 1837 1812 1743 1614 1580 1424 1362 1228 952 1007 919 982Accidentsa 376 650 844 1162 1513 1650 2236 3002 3986 4099 4070 3607 3374 3268 2562 2225 1994 1664 1692 1631 1655Sales 29000 48000 64000 72000 68000 79000 107000 142000 200000 191000 176000 130000 106000 92000 80900 79300 80600 79500 80200 82200 79900Number in use 92756 126881 178510 241376 305915 372283 454545 600000 760000 900000 1000000 1180000 1200000 1230000 1220000 1220000 1170000 1250000 1230000 (R) 1190000 1230000KEY R = revised

a Total vessels involved

NOTES Personal watercraft are less than 13 feet in length and are designed to be operated by a person or persons sitting standing or kneeling on the craft rather than within the confines of the hullData on personal watercraft sales and number in use are estimates

SOURCES Fatalities injuries and accidents US Department of Homeland Security United States Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of Mar 17 2009Sales 1987-90 Personal Watercraft Industry Association available at httpwwwpwiaorgAbo_PWChtm as of June 19 20001991-2007 National Marine Manufacturers Association Recreational Boating Statistical Abstract (Annual issues) available at httpwwwnmmaorgfactsboatingstats2007 as of Mar 17 2009Use 1987-96 National Marine Manufacturers Association data compiled by the United States Coast Guard personal communications1997-98 Ibid available at httpwwwnmmaorgfactsboatingstatsstatistic98html as of June 19 20001999-2007 National Marine Manufacturers Association Recreational Boating Statistical Abstract available at httpwwwnmmaorgfactsboatingstats2007 as of Mar 17 2009

1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Cases 60775 53097 52782 53294 53026 53899 49704 43553 41096 37218 39844 40214 39457 36763 (R) 31622 (R) 32540 29799 (R) 28320 27092Responsesa 70237 64971 66409 69856 69784 70337 63679 55710 52141 46602 50622 48226 49502 46643 U U U U USortiesa 88449 84033 84872 88388 88147 108758 110267 98423 91722 83307 89635 57697 59015 54609 33426 (R) 33107 (R) 29860 (R) 29826 25411Search and Rescue resource hours b U 108282 109351 108639 107441 102749 93984 85150 80507 80116 84635 80533 85008 75841 65182 (R) 65876 77888 60248 55312Lives saved 6497 4407 5465 f17543 5826 f23211 4453 5047 3897 3194 3743 3400 4010 3661 5196 (R) 5565 5650 (R) 29826 5216Lives lost total 1335 1085 1116 939 1215 931 772 978 744 606 533 1018 710 635 673 (R) 783 (R) 846 787 795

Lives lost before notification c 259 622 748 540 800 593 468 611 454 418 353 g779 413 399 412 502 (R) 523 479 492Lives lost after notification d 1076 463 368 399 415 338 304 367 290 188 180 239 297 236 261 (R) 281 323 308 303

Persons otherwise assisted 138791 117327 113704 121826 119069 116912 101357 85869 75357 66138 70255 54866 59910 46503 (R) 38579 (R) 42008 (R) 41551 (R) 44757 35797Value of property lost ($ million)e 4243 3685 2136 3145 3162 4355 2226 2738 4148 843 2623 4152 4410 760 196 (R) 535 970 (R) 328 1217Value of property assisted ($ million) 23768 20449 22824 19514 24918 28912 44672 34942 17621 12882 12350 7788 15010 15890 (R) 4788 (R) 7784 16618 (R) 7784 9956Property loss prevented ($ million) 9054 16734 17993 15501 21447 26284 38828 30873 13535 9968 10190 843 730 680 1067 2387 1464 1110 1131

g The Egypt Air (217 fatalities) and Alaska Air (88 fatalities) crashes account for the increase

Table 2-45 US Coast Guard Search and Rescue Statistics Fiscal Year

c Those persons whose lives were lost before the US Coast Guard was notified of an incidentd Those persons whose lives were lost in an incident to which the US Coast Guard was responding but who were alive at the time the US Coast Guard was notified of the incident e Includes several out of the normal high cost incidents

f The Search and Rescue Management Information Systems reporting policy has been revised and now requires complete reporting on all lives saved This policy also includes reporting on lives saved in connection with Coast Guard Law Enforcement Activity (ie Alien Migrant Interdiction Operations (AMIO)) AMIO lives saved in fiscal year 1992 was determined to be approximately 12000 AMIO lives saved in fiscal year 1994 was determined to be 15179

KEY R = revised U = data are not available

a Responses are the number of US Coast Guard units involved Sorties are the number of trips made by boat aircraft or cutter

b Search and Rescue resource hours represent the time that Coast Guard assets (ie aircraft boats and cutters) perform search and rescue operations

SOURCES All data except Search and Rescue resource hours

1985-1993 US Department of Transportation US Coast Guard Search and Rescue Management Information Systems (SARMIS II) Database Internet site wwwuscgmilhqg-og-opr92-01summaryhtm as of Aug 8 2002

2003-07 US Department of Homeland Security US Coast Guard Office of Search and Rescue personal communications April 1 2008

1994-2002 US Department of Transportation US Coast Guard ON SCENE The Journal of US Coast Guard Search Rescue Internet site wwwuscgmilhqg-og-oprOn20Sceneonscenehtm as of July 28 20042003-07 US Department of Homeland Security US Coast Guard Office of Search and Rescue personal communications April 1 2008 Search and Rescue resource hours

1990-2002 US Department of Transportation US Coast Guard Office of Command and Control Architecture personal communications Sept 30 2003 and July 28 2004

Section GPipeline

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007FatalitiesTotal hazardous liquida 4 7 4 5 3 0 5 0 1 3 5 0 2 4 1 0 1 0 5 2 0 4 Total gas 26 8 15 28 6 14 10 17 21 18 48 10 19 18 37 7 11 12 18 14 19 10

Gas transmission U U 1 6 0 0 3 1 0 2 1 1 1 2 15 2 1 1 0 0 3 2 Gas distribution U U 14 22 6 14 7 16 21 16 47 9 18 16 22 5 10 11 18 14 16 8

Injured personsTotal hazardous liquid 21 17 15 18 7 9 38 10 (a) 1858 11 13 5 6 20 4 10 0 5 16 2 2 10 Total gas 233 214 177 108 69 89 80 101 113 53 114 72 75 88 77 51 49 66 44 (R) 46 (R) 31 42

Gas transmission U U 13 12 17 12 15 17 22 10 5 5 11 8 18 5 5 8 3 7 (R) 5 7 Gas distribution U U 164 96 52 77 65 84 91 43 109 67 64 80 59 46 44 58 41 (R) 39 (R) 26 35

IncidentsTotal hazardous liquid 351 254 246 183 180 216 212 229 245 188 194 171 153 167 146 130 147 131 144 (R) 139 (R) 115 113 Total gas 1077 1338 1524 334 198 233 177 216 222 161 187 175 236 172 234 211 184 (R) 239 (R) 298 (R) 353 (R) 281 278

Gas transmission U U 389 129 89 71 74 95 81 64 77 73 99 54 80 87 82 97 123 (R) 181 (R) 143 131 Gas distribution U U 1135 205 109 162 103 121 141 97 110 102 137 118 154 124 102 (R) 142 (R) 175 (R) 172 (R) 138 147

Property damage (current $ millions)Total hazardous liquid 12 22 57 51 157 378 391 289 622 325 851 552 633 864 1802 253 474 (R) 500 (R) 1463 (R) 1498 (R) 592 444Total gas 33 50 100 229 189 197 314 384 984 209 293 246 635 436 413 377 505 (R) 710 (R) 1065 (R) 8660 (R) 729 832

Gas transmission U U 88 134 113 119 246 230 452 100 131 121 445 177 179 237 267 (R) 499 (R) 682 (R) 3677 (R) 501 595Gas distribution U U 12 95 76 78 68 153 533 110 163 125 191 259 234 141 238 (R) 211 (R) 383 (R) 4983 (R) 228 237

Numbers may not add to totals due to rounding

SOURCES1970-85 US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety personal communication1986-2007 US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Internet site httpopsdotgovstatsstatshtm as of Mar 25 2008

Property damage includes but is not limited to damage to the operators facilities and to the property of others gas lost restoration of service and relighting facility repair and replacement leak locating right-of-way cleanup and environmental cleanup and damage

a Includes 1851 injuries requiring medical treatment reported for accidents caused by severe flooding near Houston TX in October 1994

KEY R = revised U = data are not available

Table 2-46 Hazardous Liquid and Natural Gas Pipeline Safety and Property Damage Data

NOTESBeginning with 1985 data pipeline incidents are credited to the year in which they occurred not the year in which the report was received Gas numbers represent sum of transmission and gathering and distribution operators

Chapter 3Transportation and

the Economy

Section ATransportation and the

Total Economy

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006TOTAL US GDP 27895 42203 58031 73976 78169 83043 87470 92684 98170 101280 104696 109608 116859 124219 131784For-hire transportation services GDP total 1023 1363 1694 2263 2352 2537 2737 2874 3016 2969 3046 3166 3446 3647 3874

Air transportation 128 190 268 410 444 495 525 549 577 500 483 517 491 483 503Rail transportation 224 231 206 250 245 230 245 247 255 256 262 281 298 335 390Water transportation 33 37 46 58 61 65 65 64 72 74 70 87 95 100 108Truck transportation 281 39 526 701 720 784 862 898 928 933 957 984 1114 1184 1225Transit and ground passenger transportation 53 70 84 103 111 130 138 144 145 151 157 161 176 179 183Pipeline transportation 61 87 72 81 87 88 92 92 87 92 115 99 107 95 114Other transportation and support activities 188 273 373 492 509 550 599 648 702 714 734 754 853 916 978Warehousing and storage 56 84 118 168 175 195 211 232 250 251 268 283 312 356 373

Percent of US GDPFor-hire transportation services 37 32 29 31 30 31 31 31 31 29 29 29 29 29 29

Air transportation 05 05 05 06 06 06 06 06 06 05 05 05 04 04 04Rail transportation 08 05 04 03 03 03 03 03 03 03 03 03 03 03 03Water transportation 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01Truck transportation 10 09 09 09 09 09 10 10 09 09 09 09 10 10 09Transit and ground passenger transportation 02 02 01 01 01 02 02 02 01 01 01 01 02 01 01Pipeline transportation 02 02 01 01 01 01 01 01 01 01 01 01 01 01 01Other transportation and support activities 07 06 06 07 07 07 07 07 07 07 07 07 07 07 07Warehousing and storage 02 02 02 02 02 02 02 03 03 02 03 03 03 03 03

Percent of for-hire transportation services GDPAir transportation 125 139 158 181 189 195 192 191 191 168 159 163 142 132 130Rail transportation 219 169 122 110 104 91 90 86 85 86 86 89 86 92 101Water transportation 32 27 27 26 26 26 24 22 24 25 23 27 28 27 28Truck transportation 275 286 311 310 306 309 315 312 308 314 314 311 323 325 316Transit and ground passenger transportation 52 51 50 46 47 51 50 50 48 51 52 51 51 49 47Pipeline transportation 60 64 43 36 37 35 34 32 29 31 38 31 31 26 29Other transportation and support activities 184 200 220 217 216 217 219 225 233 240 241 238 248 251 252Warehousing and storage 55 62 70 74 74 77 77 81 83 85 88 89 91 98 96

Table 3-1a US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Current $ billions)

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustryindexhtm as of March 2009

Numbers may not add to totals due to rounding

KEY R = revised

SOURCE

NOTE

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006TOTAL US GDP 7113 7101 7337 7533 7836 8032 8329 8704 90669 (R) 94704 98170 98907 (R) 100489 103010 106758 109895 112948For-hire transportation services GDP total 1879 1962 2074 2171 2347 2427 2551 2666 2758 (R) 2875 3016 2936 3002 (R) 3063 3341 3476 3548Air transportation 266 248 285 301 351 381 451 475 487 529 577 570 628 672 755 813 815Rail transportation 198 229 228 232 246 253 252 236 244 248 255 248 244 257 261 274 287Water transportation 44 49 52 56 61 60 67 73 70 64 72 68 56 54 61 60 72Truck transportation 598 638 681 723 791 808 838 877 910 919 928 879 875 889 973 1010 1018Transit and ground passenger transportation 119 102 103 110 114 120 120 139 143 147 145 145 146 143 154 150 149Pipeline transportation 76 74 74 69 64 74 74 69 69 77 87 83 96 93 106 116 115Other transportation and support activities 468 505 520 542 566 558 564 597 626 662 702 694 706 703 774 772 790Warehousing and storage 125 133 146 155 169 180 188 208 220 234 250 244 256 269 283 3236 3335Percent of US GDPFor-hire transportation services 26 28 28 29 30 30 31 31 30 (R) 30 31 30 (R) 30 30 31 32 31Air transportation 04 03 04 04 04 05 05 05 05 (R) 06 06 06 06 (R) 07 07 07 07Rail transportation 03 03 03 03 03 03 03 03 03 03 03 03 02 02 02 02 03Water transportation 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01Truck transportation 08 09 09 10 10 10 10 10 10 10 09 09 09 09 09 09 09Transit and ground passenger transportation 02 01 01 01 01 01 01 02 02 02 01 01 01 01 01 01 01Pipeline transportation 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01Other transportation and support activities 07 07 07 07 07 07 07 07 07 07 07 07 07 07 07 07 07Warehousing and storage 02 02 02 02 02 02 02 02 02 02 03 02 03 03 03 03 03Percent of for-hire transportation services GDPAir transportation 142 126 137 139 150 157 177 178 177 (R) 184 191 194 209 (R) 219 226 234 230Rail transportation 105 117 110 107 105 104 99 89 88 86 85 84 81 84 78 79 81Water transportation 23 25 25 26 26 25 26 27 25 22 24 23 19 18 18 17 20Truck transportation 318 325 328 333 337 333 328 329 330 320 308 299 291 290 291 291 287Transit and ground passenger transportation 63 52 50 51 49 49 47 52 52 51 48 49 49 47 46 43 42Pipeline transportation 40 38 36 32 27 30 29 26 25 27 29 28 32 30 32 33 32Other transportation and support activities 249 257 251 250 241 230 221 224 227 230 233 236 235 230 232 222 223Warehousing and storage 67 68 70 71 72 74 74 78 80 81 83 83 85 88 85 93 94

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustryindexhtm as of March 2009SOURCE

Table 3-1b US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Chained 2000 $ billions)

Details may not add to totals due to the nature of the chained dollar calculationsNOTE

KEY R = revised

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 (R) 2007Gross Domestic Product 27895 42203 58031 59959 63377 66574 70722 73977 78169 83043 87470 92684 98170 101280 104696 109608 116859 124219 131784 138075Total transportation-related final demanda (R) 3489 (R) 4993 (R) 6268 (R) 6265 (R) 6662 (R) 7111 (R) 7710 (R) 8044 (R) 8655 9331 9736 10413 10895 11039 11064 11380 12125 13250 13944 14694Total transportation in GDP (percent) (R) 125 (R) 118 (R) 108 (R) 104 (R) 105 (R) 107 (R) 109 (R) 109 (R) 111 112 111 112 111 109 (R) 106 104 104 107 106 106Personal consumption of transportation total 2389 3776 4717 4473 4831 5208 5673 5946 6418 6852 7180 7851 8535 8723 8822 9217 9764 10510 10890 11380

Motor vehicles and parts 870 1759 2128 1935 2130 2340 2605 2667 2849 3051 3361 3708 3865 4079 4293 4317 4368 4431 4340 4404Gasoline and oil 867 972 1112 1085 1124 1141 1162 1202 1304 1344 1224 1379 1757 1716 1645 1927 2314 2836 3138 3406Transportion services 652 1045 1477 1453 1577 1727 1906 2077 2265 2457 2595 2764 2913 2928 2884 2973 3082 3243 3412 3570

Gross private domestic investment total (R) 513 (R) 730 (R) 726 (R) 739 (R) 776 (R) 925 (R) 1110 (R) 1196 (R) 1276 1416 1511 1739 1674 1486 1328 1244 1496 1714 1855 1664Transportation structures (R) 29 (R) 40 (R) 26 (R) 24 (R) 29 (R) 31 (R) 33 (R) 35 (R) 44 61 71 63 66 69 65 61 67 70 85 92Transportation equipment 484 690 700 715 747 894 1077 1161 1232 1355 1440 1676 1608 1417 1263 1183 1429 1644 1770 1572

Exports ( + ) total 457 575 1056 1148 1225 1226 1296 1324 1415 1626 1716 1749 1790 1743 1755 1745 1951 2215 2505 2855Civilian aircraft engines and parts 141 135 322 366 377 328 315 261 308 414 535 529 481 526 504 467 500 608 752 873Automotive vehicles engines and parts 174 249 361 397 467 513 573 613 642 733 724 753 804 754 789 806 892 984 1070 121Passenger fares 26 44 153 159 166 165 170 189 204 209 201 198 207 179 170 157 189 210 220 256Other transportation 116 147 220 226 215 220 238 261 261 270 256 269 298 284 292 315 370 413 463 516

Imports ( - ) total 468 922 1344 1324 1387 1496 1685 1760 1846 2032 2209 2582 2880 2825 2876 2999 3314 3532 3778 3889Civilian aircraft engines and parts 31 53 105 117 126 113 113 107 127 166 218 238 264 314 255 241 243 258 284 344Automotive vehicles engines and parts 283 649 884 857 917 1024 1181 1236 1287 1395 1487 1790 1959 1898 2037 2101 2282 2394 2566 2589Passenger fares 36 64 105 100 106 114 131 147 158 181 200 213 243 226 200 210 247 261 275 285Other transportation 118 156 250 250 238 245 260 270 274 290 304 341 414 387 384 447 542 619 653 671

Net exports of transportation-related goods and servicesb -11 -347 -288 -176 -162 -270 -389 -436 -431 -406 -493 -833 -1090 -1082 -1121 -1254 -1363 -1317 -1273 -1034Government transportation-related purchases total 598 834 1113 1229 1217 1248 1316 1338 1392 1469 1538 1656 1776 1912 2035 2173 2228 2343 2472 2684

Federal purchasesc 70 100 129 145 153 154 171 161 169 176 185 187 192 211 264 296 291 302 321 321State and local purchasesc 486 672 896 927 950 1001 1061 1093 1137 1211 1268 1379 1494 1603 1666 1715 1770 1882 2002 2166Defense-related purchasesd

42 62 88 157 114 93 84 84 86 82 85 90 90 98 105 162 167 159 149 197

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 115 235 3115 3155 425 545B and 555 available at httpwwwbeadocgov as of March 2009

a Sum of total personal consumption of transportation total gross private domestic investment net exports of transportation-related goods and services and total government transportation-related purchases b Exports minus importsc Federal purchases and state and local purchases are the sum of consumption expenditures and gross investmentd Defense-related purchases are the sum of transportation of material and travel

Transportation structures data for 1990-1996 are for railroads only 1997 and after include railroads and air

SOURCE

Table 3-2a US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand (Current $ billions)

NOTE

KEY R = revised U = data are not available

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Gross Domestic Product 71125 71005 73366 75327 78355 80317 83289 87035 90669 94703 98170 98907 100488 103010 106758 (R) 109895 (R) 112948 115239Total transportation-related final demanda U U U U U U U 9911 10483 10959 10895 10987 11007 10988 11202 (R) 11383 (R) 11362 (R) 11484Total transportation in GDP (percent) U U U U U U U 114 116 116 111 111 110 107 105 (R) 104 (R) 101 (R) 100Personal consumption of transportation total 5936 5532 5851 6114 6463 6586 6908 7307 7813 8321 8535 8721 8911 9059 9221 (R) 9252 (R) 9158 9304

Motor vehicles and parts 2561 2266 2449 2592 2762 2723 2854 3047 3390 3724 3865 4058 4290 4421 4508 (R) 4499 (R) 4379 4467Gasoline and oil 1418 1403 1460 1497 1517 1545 1579 1628 1703 1763 1757 1783 1819 1832 1867 (R) 1874 (R) 1842 1845Transportion services 1957 1863 1942 2025 2184 2318 2475 2632 2720 2834 2913 2880 2802 2806 2846 (R) 2879 (R) 2937 2992

Gross private domestic investment total U U U U U U U 1425 1529 1742 1674 1494 1321 1194 1365 (R) 1555 (R) 1666 1469Transportation structuresb 34 31 38 37 39 40 48 66 75 65 66 66 61 56 59 (R) 60 (R) 71 75Transportation equipment 810 788 802 951 1114 1206 1254 1359 1454 1677 1608 1428 1260 1138 1306 (R) 1495 (R) 1595 1394

Exports ( + ) total 1315 1356 1412 1379 1431 1421 1494 1707 1812 1810 1790 1716 1707 1646 1788 (R) 1935 (R) 2125 2350Civilian aircraft engines and parts 457 479 479 405 377 303 343 446 570 551 481 499 465 415 43 501 (R) 596 663Automotive vehicles engines and parts 403 432 498 543 601 634 658 744 734 759 804 752 783 794 872 (R) 951 (R) 1021 1142Passenger fares 198 186 190 185 186 196 212 227 223 203 207 178 165 136 148 152 (R) 159 171Other transportation 257 259 245 246 267 288 281 290 285 297 298 287 294 301 338 331 (R) 349 374

Imports ( - ) total 1652 1556 1604 1704 1868 1890 1955 2140 2325 2645 2880 2801 2852 2907 3123 3244 (R) 3438 3489Civilian aircraft engines and parts 150 151 158 138 134 124 140 177 229 245 264 302 242 228 223 229 243 280Automotive vehicles engines and parts 1033 963 1013 1114 1245 1266 1309 1416 1508 1802 1959 1899 2033 2085 2226 2312 (R) 2468 2465Passenger fares 149 127 131 143 162 173 184 199 217 225 243 207 174 179 214 218 217 211Other transportation 320 315 302 309 327 327 322 348 371 373 414 393 403 415 460 485 (R) 510 533

Net exports of transportation-related goods and servicesc -337 -200 -192 -325 -437 -469 -461 -433 -513 -835 -1090 -1085 -1145 -1261 -1335 -1309 (R) -1313 -1139Government transportation-related purchases total 1479 1579 1554 1561 1601 1565 1576 1612 1654 1731 1776 1857 1920 1996 1951 (R) 1885 (R) 1851 (R) 1850

Federal purchases 171 184 191 184 198 180 185 188 196 194 192 206 250 271 254 (R) 253 (R) 259 249State and local purchases 1196 1207 1224 1266 1305 1288 1294 1337 1370 1443 1494 1558 1573 1585 1557 (R) 1504 (R) 1476 1449Defense-related purchases d 112 188 139 111 98 97 97 87 88 94 90 93 97 140 140 (R) 128 (R) 116 152

b Before 1997 transportation structures only includes railroads

Table 3-2b US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand (Chained 2000 $ billions)

KEY R = revised U = data are not available

a Sum of total personal consumption of transportation total gross private domestic investment net exports of transportation-related goods and services and total government transportation-related purchases

c Equal to exports minus importsd Defense-related purchases are the sum of transportation of material and travel

NOTES

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 116 236 3116 3156 426 546A 546B and 556 available at httpwwwbeadocgovbea as of Sep 19 2008

Chained 2000 $ value = (Quantity index for year n x 2000 current $ value)100At the time of this publication the Bureau of Economic Analysis (BEA) had only published chained 2000 dollar estimates from 1990 onward Current dollar estimates for earlier years can be found in Table 3-2a

SOURCE

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006Gross Domestic Demand 28026 43355 58811 60234 63710 67224 71658 74890 79131 84059 89069 95289 101964 104950 108940 114602 123013 (R) 131355 139357Total domestic transportation-related final demand (R) 3500 (R) 5340 (R) 6556 (R) 6441 (R) 6824 (R) 7381 (R) 8099 (R) 8480 (R) 9086 9737 10229 11246 11985 12121 12185 12634 13488 (R) 14567 15217Total transportation in GDD (percent) (R) 125 (R) 123 (R) 111 (R) 107 (R) 107 (R) 110 (R) 113 (R) 113 (R) 115 116 115 118 118 115 112 110 110 (R) 111 109Personal consumption of transportation total 2389 3776 4717 4473 4831 5208 5673 5946 6418 6852 7180 7851 8535 8723 8822 9217 9764 (R) 10510 10890

Motor vehicles and parts 870 1759 2128 1935 2130 2340 2605 2667 2849 3051 3361 3708 3865 4079 4293 4317 4368 (R) 4431 4340Gasoline and oil 867 972 1112 1085 1124 1141 1162 1202 1304 1344 1224 1379 1757 1716 1645 1927 2314 (R) 2836 3138Transportation services 652 1045 1477 1453 1577 1727 1906 2077 2265 2457 2595 2764 2913 2928 2884 2973 3082 (R) 3243 3412

Gross private domestic investment total (R) 513 (R) 730 (R) 726 (R) 739 (R) 776 (R) 925 (R) 1110 (R) 1196 (R) 1276 1416 1511 1739 1674 1486 1328 1244 1496 (R) 1714 1855Transportation structures (R) 29 (R) 40 (R) 26 (R) 24 (R) 29 (R) 31 (R) 33 (R) 35 (R) 44 61 71 63 66 69 65 61 67 70 85Transportation equipment 484 690 700 715 747 894 1077 1161 1232 1355 1440 1676 1608 1417 1263 1183 1429 (R) 1644 1770

Government transportation-related purchases total 598 834 1113 1229 1217 1248 1316 1338 1392 1469 1538 1656 1776 1912 2035 2173 2228 (R) 2343 2472Federal purchasesa 70 100 129 145 153 154 171 161 169 176 185 187 192 211 264 296 291 (R) 302 321State and local purchasesa 486 672 896 927 950 1001 1061 1093 1137 1211 1268 1379 1494 1603 1666 1715 1770 (R) 1882 2002Defense-related purchasesb 42 62 88 157 114 93 84 84 86 82 85 90 90 98 105 162 167 (R) 159 149

Table 3-3a US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand (Current $ billions)

KEY R = revised

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 145 235 535 545AU 545BU 3115 and 3155 available at httpwwwbeagov as of November 2008

b Defense-related purchases are the sum of the transportation of material and travel

a Federal purchases and state and local purchases are the sum of consumption expenditures and gross investment

NOTE

SOURCE

Transportation structures before 1997 includes only railroads

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Gross Domestic Demand 71616 71012 73389 75772 79113 80984 84057 88076 92725 97677 101964 102901 105177 108155 112614 (R) 115978 (R) 119041Total domestic transportation-related final demand (R) 8259 (R) 7930 (R) 8245 (R) 8663 (R) 9217 (R) 9397 (R) 9786 10344 10996 11794 11985 12072 12152 12249 (R) 12537 (R) 12692 (R) 12675Total transportation in GDD (percent) (R) 115 (R) 112 (R) 112 (R) 114 (R) 117 (R) 116 (R) 116 117 119 121 118 117 116 113 (R) 111 (R) 109 (R) 106Personal consumption of transportation total 5936 5532 5851 6114 6463 6586 6908 7307 7813 8321 8535 8721 8911 9059 (R) 9221 (R) 9252 (R) 9158

Motor vehicles and parts 2561 2266 2449 2592 2762 2723 2854 3047 3390 3724 3865 4058 4290 4421 4508 (R) 4499 (R) 4379Gasoline and oil 1418 1403 1460 1497 1517 1545 1579 1628 1703 1763 1757 1783 1819 1832 (R) 1867 (R) 1874 (R) 1842Transportation services 1957 1863 1942 2025 2184 2318 2475 2632 2720 2834 2913 2880 2802 2806 2846 (R) 2879 (R) 2937

Gross private domestic investment total (R) 844 (R) 819 (R) 840 (R) 988 (R) 1153 (R) 1246 (R) 1302 1425 1529 1742 1674 1494 1321 1194 1365 (R) 1555 (R) 1666Transportation structures (R) 34 (R) 31 (R) 38 (R) 37 (R) 39 (R) 40 (R) 48 66 75 65 66 66 61 56 59 60 (R) 71Transportation equipment 810 788 802 951 1114 1206 1254 1359 1454 1677 1608 1428 1260 1138 1306 (R) 1495 (R) 1595

Government transportation-related purchases total 1479 1579 1554 1561 1601 1565 1576 1612 1654 1731 1776 1857 1920 1996 1951 (R) 1885 (R) 1851Federal purchasesa 171 184 191 184 198 180 185 188 196 194 192 206 250 271 254 (R) 253 (R) 259State and local purchasesa 1196 1207 1224 1266 1305 1288 1294 1337 1370 1443 1494 1558 1573 1585 1557 (R) 1504 (R) 1476Defense-related purchasesb 112 188 139 111 98 97 97 87 88 94 90 93 97 140 140 (R) 128 116

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 146 236 3116 3156 536 546AU and 546BU available at httpwwwbeagov as of December 2008

SOURCE

At the time of this publication the Bureau of Economic Analysis (BEA) had only published chained 2000 dollar estimates from 1990 onward Current dollar estimates for earlier years can be found in Table 3-3a

Transportation structures for 1990 to 1996 include only railroads and consists of air and land after 1996

Table 3-3b US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand (Chained 2000 $ billions)

Chained 2000 $ value = (Quantity index for year n x 2000 current $ value)100

a Federal purchases and state and local purchases are the sum of consumption expenditures and gross investmentsb Defense-related purchases are the sum of the transportation of material and travel

NOTES

KEY R = revised

1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007GDP by industry total 8747 9268 9817 10128 10470 (R) 10961 11686 12422 13178 13808Agriculture forestry fishing and hunting 102 94 98 98 95 114 142 133 122 168Mining 75 85 121 119 107 143 171 224 262 275Utilities 181 185 189 202 207 220 240 240 273 281Construction 374 407 436 470 482 496 539 605 646 611Manufacturing durable goods 807 820 865 779 775 772 808 845 899 922Manufacturing nondurable goods 537 553 561 563 578 588 620 636 678 695Wholesale trade 543 578 592 607 615 637 687 722 773 805Retail trade 599 636 662 692 720 752 777 825 867 893Transportation and warehousing 274 287 302 297 305 317 345 365 387 407Information 382 439 458 477 483 489 531 558 560 586Finance insurance real estate rental and leasing 1685 1798 1931 2059 2142 2245 2379 2528 2686 2811Professional and business services 976 1065 1141 1166 1189 1249 1338 1464 1566 1694Educational services health care and social assistance 602 635 678 739 800 857 916 970 1026 1087Arts entertainment recreation accomodation and food services 306 328 350 362 382 399 428 452 485 513Other services except government 211 218 229 242 253 265 274 288 300 316Government total 1095 1141 1203 1258 1338 1418 1492 1569 1649 1743Government federal 353 362 379 386 417 449 479 502 528 554Government state and local 742 779 824 873 921 970 1012 1067 1122 1189Percent of GDPAgriculture forestry fishing and hunting 117 101 100 097 091 104 122 107 092 122Mining 086 092 124 117 102 131 147 180 199 199Utilities 207 200 193 200 198 201 206 193 207 204Construction 428 439 444 464 461 453 461 487 490 442Manufacturing durable goods 922 885 881 769 740 704 691 680 682 668Manufacturing nondurable goods 614 596 571 555 552 536 531 512 514 503Wholesale trade 621 623 603 599 588 581 588 582 587 583Retail trade 684 686 675 683 687 686 665 664 658 646Transportation and warehousing 313 310 307 293 291 289 295 294 294 295Information 436 474 467 471 461 446 454 449 425 425Finance insurance real estate rental and leasing 1926 1940 1967 2033 2046 2048 2036 2035 2038 2036Professional and business services 1116 1149 1162 1151 1136 1139 1145 1178 1189 1227Educational services health care and social assistance 688 685 691 730 764 782 784 781 778 787Arts entertainment recreation accomodation and food services 350 354 357 357 364 364 366 364 368 372Other services except government 241 235 233 238 241 242 234 231 227 229Government total 1251 1231 1225 1242 1278 1294 1276 1263 1251 1262Government federal 403 390 386 381 399 409 410 404 400 401Government state and local 848 841 839 862 880 885 866 859 851 861

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustrygpotables as of December 2008

Table 3-4a Contributions to Gross Domestic Product (GDP) Selected Industries (Current $ billions)

NOTENumbers may not add to totals due to rounding

SOURCE

KEY R = revised

1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007GDP by industry 9067 9470 9817 9891 10049 10301 10676 10990 11295 11524Agriculture forestry fishing and hunting 85 87 98 92 97 104 111 121 114 122Mining 123 127 121 115 108 107 108 104 111 111Utilities 171 179 189 180 188 201 212 200 202 204Construction 423 433 436 437 428 419 420 419 401 356Manufacturing durable goods 730 776 865 814 828 849 899 949 1026 1075Manufacturing nondurable goods 560 568 561 533 556 551 580 551 563 566Wholesale trade 565 594 592 633 639 653 666 688 692 698Retail trade 599 634 662 709 724 752 772 841 888 928Transportation and warehousing 276 287 302 294 300 306 334 348 355 364Information 377 438 458 477 487 502 560 609 626 676Finance insurance real estate rental and leasing 1742 1834 1931 2005 2024 2072 2132 2222 2312 2359Professional and business services 1049 1106 1141 1133 1132 1181 1229 1297 1341 1399Educational services health care and social assistance 649 660 678 700 730 762 787 809 835 852Arts entertainment recreation accomodation and food services 327 339 350 348 354 365 379 386 400 407Other services except government 233 230 229 225 226 231 231 236 235 235Government total 1166 1179 1203 1212 1232 1248 1254 1262 1269 1286Government federal 376 373 379 373 380 389 393 394 393 396Government state and local 790 806 824 840 852 859 861 869 876 890

Agriculture forestry fishing and hunting 093 092 100 093 096 101 104 110 101 106Mining 136 134 124 116 107 104 101 094 099 097Utilities 189 189 193 182 187 195 199 182 179 177Construction 467 458 444 441 426 407 394 381 355 309Manufacturing durable goods 805 819 881 823 824 825 842 863 908 932Manufacturing nondurable goods 617 600 571 539 553 535 544 502 499 491Wholesale trade 623 627 603 640 636 634 624 626 613 606Retail trade 660 669 675 716 720 730 723 765 786 805Transportation and warehousing 304 303 307 297 299 297 313 316 314 316Information 416 462 467 482 485 487 525 554 554 587Finance insurance real estate rental and leasing 1921 1937 1967 2028 2014 2011 1997 2022 2047 2047Professional and business services 1157 1167 1162 1146 1126 1147 1151 1180 1188 1214Educational services health care and social assistance 715 697 691 708 726 739 737 736 739 740Arts entertainment recreation accomodation and food services 361 358 357 351 352 354 355 352 354 353Other services except government 257 243 233 228 225 224 216 214 208 204Government total 1286 1245 1225 1226 1226 1212 1174 1149 1123 1116Government federal 414 394 386 377 378 378 368 358 348 343Government state and local 871 851 839 849 848 834 806 790 775 773

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustrygpotables as of December 2008SOURCE

Numbers may not add to totals due to roundingNOTES

The formula for the chain-type quantity indexes uses weights of more than one period Therefore the corresponding chained-dollar estimates are usually not additive

Table 3-4b Contributions to Gross Domestic Product (GDP) Selected Industries (Chained 2000 $ billions)

Percent of GDP

Chained (2000) dollar series are calculated as the product of the chain-type quantity index and the 2000 current-dollar value of the corresponding series divided by 100

KEY R = revised

Table 3-5 Gross Domestic Product (GDP) by Major Social Function (Current $ billions) 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007

Total GDP 5996 6338 6657 7072 7398 7817 8304 8747 9269 9817 10128 10470 10961 11686 12422 13178 13808Housing 1416 1501 1600 1723 1803 1917 2023 2152 2298 2436 2535 2610 2755 2977 3220 3370 3360

Percent of total 236 237 240 244 244 245 244 246 248 248 250 249 251 255 259 256 243Healthcare 843 920 980 1036 1099 1154 1226 1305 1384 1491 1596 1714 1847 1981 2123 2259 2401

Percent of total 141 145 147 147 149 148 148 149 149 152 158 164 169 170 171 171 174Food 796 826 844 894 906 965 992 1030 1092 1163 1203 1229 1274 1351 1420 1506 1602

Percent of total 133 130 127 126 123 123 119 118 118 118 119 117 116 116 114 114 116Transportation 623 668 715 778 810 868 (R) 932 (R) 969 (R) 1048 (R) 1095 (R) 1088 (R) 1118 (R) 1144 (R) 1213 1315 1386 1452

Percent of total 104 105 107 110 110 111 (R) 11 (R) 11 (R) 11 (R) 11 (R) 11 (R) 11 (R) 10 (R) 10 106 105 105Education 413 432 453 478 512 542 577 613 654 710 758 793 839 880 928 983 1048

Percent of total 69 68 68 68 69 69 69 70 71 72 75 76 77 75 75 75 76Other 1906 1991 2066 2162 2267 2369 (R) 2554 (R) 2679 (R) 2793 (R) 2922 (R) 2947 (R) 3006 (R) 3102 (R) 3284 3416 3675 3945

Percent of total 318 314 310 306 306 303 (R) 31 (R) 31 (R) 30 (R) 30 (R) 29 (R) 29 (R) 28 (R) 28 275 279 286KEY R = revised

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Transportation Bureau of Transportation Statistics calculated based on data from US Department of Commerce Bureau of Economic Analysis National Income and Product Account Tables available at httpwwwbeagovnationalnipawebIndexasp as of February 2009

c

Table 3-6 National Transportation and Economic Trends1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Passenger-miles (billions) 1327 1630 2170 2561 2895 3326 3946 3976 4089 4166 4262 4309 4442 4580 4706 4837 4953 5179 (R) 5181 5259 5436 5505 5559 U UIndex (1980 = 100) 46 56 75 88 100 115 136 137 141 144 147 149 153 158 163 167 171 179 (R) 179 182 188 190 192 U UTon-miles (billions) U U U U 3404 3314 3622 3636 3746 3767 3945 4104 4174 4179 4229 4301 4329 4357 4409 4415 4541 4575 4638 U UIndex (1980 = 100) U U U U 100 97 106 107 110 111 116 121 123 123 124 126 127 128 130 130 133 134 136 U UPopulationa (millions) 181 194 205 216 228 238 250 253 257 260 263 267 268 273 276 279 (R) 282 (R) 285 (R) 288 (R) 291 (R) 294 (R) 296 299 302 UIndex (1980 = 100) 79 85 90 95 100 105 110 111 113 114 116 117 118 120 121 123 (R) 124 (R) 125 (R) 127 (R) 128 (R) 129 (R) 130 131 133 UIndustrial Production Indexb (2002=100) 26 35 42 (R) 46 (R) 56 (R) 61 (R) 70 (R) 69 (R) 71 (R) 73 (R) 77 (R) 80 (R) 84 (R) 90 (R) 95 (R) 100 (R) 104 (R) 100 100 (R) 101 (R) 104 (R) 107 110 111 109Gross Domestic ProductCurrent $ (billions) 526 719 1039 1638 2790 4220 5803 5996 6338 6657 7072 7398 7817 8304 8747 9268 9817 10128 10470 10961 (R) 11686 (R) 12422 13178 13808 14265Index (1980 = 100) 19 26 37 59 100 151 208 215 227 239 254 265 280 298 314 332 352 363 375 393 (R) 419 (R) 445 472 495 511Chained (2000) $ (billions) 2502 3191 3772 4311 5162 6054 7113 7101 7337 7533 7836 8032 8329 8704 9067 9470 9817 9891 10049 10301 (R) 10676 (R) 10990 11295 11524 11653KEY R = revised U = data are not availablea Annual estimates as of July 1 Includes Armed Forces abroadb Industrial Production Index covers manufacturing mining and utilitie

SOURCESPassenger-milesSummation of all modes from table 1-37 less transit motor busTon-milesSummation of all modes from table 1-46bPopulationUS Department of Commerce Census BureauStatistical Abstract of the United States (Washington DC Annual issue) table 2 available athttpwwwcensusgov as March 18 2009Industrial Production Index1960-2007 Council of Economic AdvisorsEconomic Report of the President table B-52 available at httpwwwgpoaccessgoveopdownloadhtml as of Mar18 20092008 The Federal ReserveIndustrial Production and Capacity Utilization Current Monthly Release (Washington DC March 16 2009) table 11 available ahttpwwwfederalreservegovreleasesg17 as March 18 2009Gross Domestic ProductUS Department of Commerce Bureau of Economic AnalysisNational Income and Product Account Tables tables 115 and 116 available athttpwwwbeagovnationalnipawebSelectTableaspSelected=N as of March 18 2009

Section BTransportation and

Consumer Expenditures

R

y transit

g

Table 3-7 Passenger and Freight Transportation Expenditures (Current $ millions)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997

TOTAL passenger and freight transportation expenditures 107461 146523 195871 299221 569879 780232 967746 946924 1001871 1061218 1138107R1190009 1267010 134179

PASSENGER transportation expenditures total 59694 81592 111893 183382 356143 506620 616796 591715 626791 664883 717787R747412 799807 84673

Highway total 55099 74967 100577 163025 314722 451825 537840 513069 546971 583977 635195R657410 709738 74572

Highway auto purchases and ownershipa

51610 71064 94978 152238 297128 426796 507308 481929 514970 551558 601206R619433 672416 70606

Local bus and transitb

1337 1454 1841 4697 9297 13548 16721 17356 18012 18794 20082 21647 21318 2193

Local taxi 1107 1113 1740 2900 2755 3770 4030 4030 4030 4340 4650 4960 5425 573

Local school bus 486 707 1219 2174 3833 5722 8031 7879 8060 7618 7847 9889 9082 1035

Intercity bus 559 629 799 1016 1709 1989 1750 1875 1899 1667 1410 1481 1497 164

Air totalc

3555 5682 10565 18851 38135 50319 73045 72841 73780 74123 76146 81155 82331 9326

Rail totald

759 598 464 1212 2976 3875 4521 4414 4571 5278 4882 6693 5895 576

Water total (includes international) 281 345 287 294 310 601 1391 1391 1469 1505 1564R2155 1843 197

FREIGHT transportation expenditures total 47767 64931 83978 115839 213736 273612 350950 355209 375080 396335 420320R442597 467203 4950

Highway total 32289 47477 62494 84843 155331 205645 270776 274381 292930 311878 330716 348109 368545 39666

Local truck 14289 23779 28819 37287 60545 82200 108350 109650 116000 122050 125712 128352 132973 13872

Intercity bus 42 70 122 156 235 245 126 131 130 128 128 130 132 13

Intercity truck 17958 23628 33553 47400 94551 123200 162300 164600 176800 189700 204876 219627 235440 25780

Air (domestic and international) total 354 708 1171 1838 4013 6817 13706 14353 14950 15805 17249 18755 20448 2283

Rail total 9028 9923 11869 16509 27858 29150 30067 30003 30473 30775 33121 34605 35059 3534

Water total 3487 3903 5257 8221 15498 18448 20121 20306 19895 20768 21150 22709 24564 2103

Oil pipeline total 895 1051 1396 2220 7548 8910 8506 8095 8548 8470 8676 9077 8637 863

Other totale

1714 1869 1791 2208 3488 4642 7774 8071 8284 8639 9408 R9342 9950 1055

KEY R = reviseda Includes business expenditures for passenger carsb Includes federal state operating subsidies and federal capital grants Beginning in 1994 includes taxes levied directly bagencies and local subsidies such as bridge and tunnel tolls and nontransit parking lot fundsc Air includes aircraft and operating costs plus domestic and international air passenger federal excise taxesd Data from 1980 include federal state local operating subsidies and capital grants Figures also include federal operating subsidies and capital grants for Amtrak and the Northeast Corridore Domestic freight forwarders revenues after payment to live-haul carriers plus other shipper costs such as loading and unloadinfreight cars

NOTEPreviously published data are revised only for the selected years included in the most recent source publication

SOURCEPassenger and freight1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 38-41 and similar tables in earlier editions

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Aviation fuel (excluding taxes)Aviation gasolinea 1084 1201 1120 1047 1027 990 957 1005 1116 1128 975 1059 1306 1323 1288 1493 1819 2231 2682 2849Jet fuel kerosenea 868 796 766 652 610 580 534 540 651 613 452 543 899 775 721 872 1207 1735 1998 2169Highway fuel (including taxes)Gasoline premiumb N 1340 1349 1321 1316 1302 1305 1336 1413 1416 1250 1357 1693 1657 1556 1777 2068 2491 2805 3035Gasoline regularb 1245 1202 1164 1140 1127 1108 1112 1147 1231 1234 1059 1165 1510 1461 1358 1591 1880 2295 2589 2801Gasoline all types 1221 1196 1217 1196 1190 1173 1174 1205 1288 1291 1115 1221 1563 1531 1441 1638 1923 2338 2635 2849Diesel no 2 (excluding taxes)a 818 789 725 648 619 602 554 560 681 642 494 584 935 842 762 944 1243 1786 (R) 2096 2273Railroad fuelDiesel 826 778 692 672 633 631 599 600 677 678 570 555 875 855 733 893 1070 1514 1921 U

US Department of Energy Energy Information Administration Monthly Energy Review (Washington DC May 2007) tables 94 and 97 Internet site httpwwweiadoegovemeumerpriceshtml as of March 26 2008Railroad fuelAssociation of American Railroads Railroad Facts (Washington DC Annual issues) p 61

b Average retail price

SOURCESAll data except railroad fuel

NOTEFor a comparison with other consumer goods prices see table 3-9

KEY N = data do not exist R = revised U = data are not available

a Sales to end-users (those sales made directly to the ultimate consumer including bulk customers in agriculture industry and utility)

Table 3-8 Sales Price of Transportation Fuel to End-Users (Current cent gallon)

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Retail price of motor gasoline all types (constant 2006 dollars per gallon)Total service station price 185 212 299 224 188 177 171 164 160 159 165 162 138 148 183 174 161 176 202 239 262Service station price excluding taxes 128 166 265 183 146 128 123 114 106 106 113 111 087 098 134 126 114 129 155 191 216Average motor fuel taxesa 058 046 034 041 041 049 048 049 053 053 052 051 051 050 049 048 047 047 047 047 046Retail price of motor gasoline all types (current dollars per gallon)Total service station price 036 057 122 120 122 120 119 117 117 121 129 129 112 122 156 153 144 164 192 234 264Consumer price indices (1982-84 = 100)All items 39 54 82 108 131 136 140 145 148 152 157 161 163 167 172 177 180 184 189 195 202Food 39 60 87 106 132 136 138 141 144 148 153 157 161 164 168 173 176 180 186 191 195Shelter 36 49 81 110 140 146 151 156 161 166 171 176 182 187 193 201 208 213 219 224 232Apparel 59 73 91 105 124 129 132 134 133 132 132 133 133 131 130 127 124 121 120 120 120Motor fuel 28 45 97 99 101 99 99 98 99 100 106 106 92 101 129 125 117 136 160 196 UMedical care 34 48 75 114 163 177 190 201 211 221 228 235 242 251 261 273 286 297 310 323 336KEY U = data are not available

SOURCESRetail price (constant 2006 dollar)American Petroleum Institute Policy Analysis and Statistics personal communication Sept 24 2007

Table 3-9 Price Trends of Gasoline v Other Consumer Goods and Services

a State and federal taxes are weighted averages computed by the American Petroleum Institute based on gasoline sold in the 50 states Local taxes are excluded but additional state sales taxes levied on motor fuel are included

Council of Economic Advisors Economic Report of the President 2007 (Washington DC Annual Issues) tables B-60 and B-61 Internet site httpwwwgpoaccessgoveopdownloadhtml as of Sept 1 2007

Retail price (current dollar)1970-75 US Department of Energy Energy Information Agency Annual Energy Review 2003 (Washington DC 2004) table 524 Internet site httpwwweiadoegov as of Sep 7 2004

1980-2006 Ibid Monthly Energy Review (Washington DC March 2007) table 94 Internet site httpwwweiadoegov as of Sept 1 2007 Consumer price indices

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003Railroads line-haul operating (SIC 4011) 1284 1075 1093 1099 1109 1118 1117 1115 1121 1134 1130 1145 1166 1189 1214Motor freight transportation and warehousing (SIC 42) 0693 U U U 999 1019 1045 1063 1089 1116 1148 1194 1231 1245 1279Water transportation (SIC 44) 1292 U U 1000 997 1000 1030 1037 1042 1056 1130 1226 1298 1346 1471Air transportation (SIC 45) 1292 U U 1000 1056 1085 1137 1211 1253 1245 1308 1477 1572 1578 1621Pipelines except natural gas (SIC 46) 1286 958 961 964 966 1026 1108 1046 988 992 983 1023 1103 1119 1117Travel agencies (SIC 4724) 1289 1073 1136 1134 1153 1153 1113 1099 1145 1121 1120 1218 1233 1140 1125Freight transportation arrangement (SIC 4731) 1294 U U U U 1000 998 1015 1014 997 992 1003 1003 995 999

Table 3-10a Producer Price Indices for Transportation Services (Base date = 100)

KEY SIC = Standard Industrial Classification U = data are not available

NOTEData are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

US Department of Labor Bureau of Labor Statistics Producer Price Index Industry Data Internet site wwwblsgovdatasahtm as of Sept 19 2007

In 2004 the North American Industry Classification System (NAICS) replaced the SIC as the Bureau of Labor Statistics measure of economic activitySOURCE

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Air Transportation (NAICS 481) 1292 U U 1000 1056 1085 1137 1211 1253 1245 1308 1477 1572 1578 1621 1623 1710 1804 1837 2043(p)Scheduled Air Transportation (NAICS 4811) 1289 1102 1212 1142 1254 1291 1359 1455 1508 1493 1573 1801 1930 1933 1985 1986 2093 2205 2245 2495(p)

Scheduled Air Transportation (NAICS 48111) 1289 1102 1212 1142 1254 1291 1359 1455 1508 1493 1573 1801 1930 1933 1985 1986 2093 2205 2245 2495(p)Scheduled Passenger Air Transportation (NAICS 481111) 1289 1106 1224 1148 1268 1306 1378 1481 1539 1526 1612 1865 2006 2004 2057 2058 2171 2296 2345 2576(p)Scheduled Freight Air Transportation (NAICS 481112) 1203 U U U U U U U U U U U U U 1000 1002 1049 1084 1090 1285(p)

Nonscheduled Air Transportation (NAICS 4812) 1296 U U U U U U 1000 978 992 1022 1073 1127 1147 1178 1199 1267 1368 1485 1659(p)Nonscheduled Air Transportation (NAICS 48121) 1296 U U U U U U 1000 978 992 1022 1073 1127 1147 1178 1199 1267 1368 1485 1659(p)

Rail Transportation (NAICS 482) 1296 U U U U U U 1000 1005 1017 1013 1026 1045 1066 1088 1134 1252 1359 1409 1575(p)Rail Transportation (NAICS 4821) 1296 U U U U U U 1000 1005 1017 1013 1026 1045 1066 1088 1134 1252 1359 1409 1575(p)

Rail Transportation (NAICS 48211) 1296 U U U U U U 1000 1005 1017 1013 1026 1045 1066 1088 1134 1252 1359 1409 1575(p)Line -Haul Railroads (NAICS 482111) 1284 1075 1093 1099 1109 1118 1117 1115 1121 1134 1130 1145 1166 1189 1214 1265 1396 (R) 1516 1572 1757(p)

Water Transportation (NAICS 483) 1203 U U U U U U U U U U U U U 1000 1013 1064 1111 1135 1274(p)Deep Sea Coastal and Great Lakes Water Transportation (NAICS 4831) NA U U U U U U U U U U U U U U U U U U U

Deep Sea Coastal and Great Lakes Water Transportation (NAICS 48311) NA U U U U U U U U U U U U U U U U U U UDeep Sea Freight Transportation (NAICS 483111) 0688 1131 1195 1164 1159 1144 1133 1141 1131 1167 1340 1558 1722 1858 2199 2259 2319 2333 2300 2608(p)Coastal and Great Lakes Freight Transportation (NAICS 483113) 1203 U U U U U U U U U U U U U 1000 1017 1099 1199 1302 1417(p)

Inland Water Transportation (NAICS 4832) 1203 U U U U U U U U U U U U U 1000 1032 1193 1441 1467 1710(p)Inland Water Transportation (NAICS 48321) 1203 U U U U U U U U U U U U U 1000 1032 1193 1441 1467 1710(p)

Inland Water Freight Transportation (NAICS 483211) 1290 1000 992 977 958 985 1146 1099 1059 1068 1112 1179 1234 1206 1247 1310 1514 1829 1861 2170(p)Truck Transportation (NAICS 484) 1203 U U U U U U U U U U U U U 1000 1031 1090 1132 1154 1228(p)

General Freight Trucking (NAICS 4841) 1203 U U U U U U U U U U U U U 1000 1035 1100 1141 1165 1233(p)General Freight Trucking Local (NAICS 48411) 1203 U U U U U U U U U U U U U 1000 1052 1115 1153 1196 1294(p)

General Freight Trucking Local (NAICS 484110) 1203 U U U U U U U U U U U U U 1000 1052 1115 1153 1196 1294(p)General Freight Trucking Long Distance (NAICS 48412) 1203 U U U U U U U U U U U U U 1000 1032 1097 1138 1159 1220(p)

General Freight Trucking Long Distance Truckload (NAICS 484121) 1203 U U U U U U U U U U U U U 1000 1027 1086 1120 1135 1194(p)General Freight Trucking Long Distance Less Than Truckload (NAICS 484122) 1203 U U U U U U U U U U U U U 1000 1042 1118 1177 1210 1276(p)

Specialized Freight Trucking (NAICS 4842) 1203 U U U U U U U U U U U U U 1000 1023 1070 1114 1131 1220(p)Used Household and Office Goods Moving (NAICS 48421) 1203 U U U U U U U U U U U U U 1000 1026 1060 1078 1088 1120(p)

Used Household and Office Goods Moving (NAICS 484210) 1203 U U U U U U U U U U U U U 1000 1026 1060 1078 1088 1119(p)Specialized Freight (except Used Goods) Trucking Local (NAICS 48422) 1203 U U U U U U U U U U U U U 1000 1027 1071 1123 1142 1268(p)

Specialized Freight (except Used Goods) Trucking Local (NAICS 484220) 1203 U U U U U U U U U U U U U 1000 1027 1071 1123 1142 1268(p)Specialized Freight (except Used Goods) Trucking Long Distance (NAICS 48423) 1203 U U U U U U U U U U U U U 1000 1017 1075 1128 1148 1235(p)

Specialized Freight (except Used Goods) Trucking Long Distance (NAICS 484230) 1203 U U U U U U U U U U U U U 1000 1017 1075 1128 1148 1235(p)Pipeline Transportation (NAICS 486) NA U U U U U U U U U U U U U U U U U U U

Pipeline Transportation of Crude Oil (NAICS 4861) 1203 U U U U U U U U U U U U U 1000 1039 1133 1120 1254 1370(p)Pipeline Transportation of Crude Oil (NAICS 48611) 1203 U U U U U U U U U U U U U 1000 1039 1133 1120 1254 1370(p)

Pipeline Transportation of Crude Oil (NAICS 486110) 0686 942 944 948 950 1025 1134 1047 960 968 955 1010 1111 1123 1111 1152 1255 1353 1389 1518(p)Other Pipeline Transportation (NAICS 4869) 1203 U U U U U U U U U U U U U 1000 1014 1052 1082 1150 1215(p)

Pipeline Transportation of Refined Petroleum Products (NAICS 48691) 1203 U U U U U U U U U U U U U 1000 1014 1052 1082 1150 1215(p)Pipeline Transportation of Refined Petroleum Products (NAICS 486910) 0686 1008 1011 1012 1013 1034 1046 1043 1053 1048 1049 1053 1085 1110 1127 1160 1203 1238 1317 1390(p)

Table 3-10b Producer Price Indices for Selected Transportation and Warehousing Services (North American Industry Classification System [NAICS] basis) (Base date = 100

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Table 3-10b Producer Price Indices for Selected Transportation and Warehousing Services (North American Industry Classification System [NAICS] basis) (Base date = 100

Support Activities for Transportation (NAICS 488) 1203 U U U U U U U U U U U U U 1000 1011 1041 1065 1085 1116(p)Support Activities for Air Transportation (NAICS 4881) 1296 U U U U U U 1000 1025 1052 1086 1142 1175 1214 1251 1281 1342 1386 1410 1452(p)

Airport Operations (NAICS 48811) 1203 U U U U U U U U U U U U U 1000 1011 1048 1086 1096 1124(p)Air Traffic Control (NAICS 488111) NA U U U U U U U U U U U U U U U U U U UOther Airport Operations (NAICS 488119) 1203 U U U U U U U U U U U U U 1000 1011 1048 1086 1097 1125(p)

Other Support Activities for Air Transportation (NAICS 48819) 1203 U U U U U U U U U U U U U 1000 1020 1075 1108 1129 1167(p)Other Support Activities for Air Transportation (NAICS 488190) 1203 U U U U U U U U U U U U U 1000 1019 1074 1108 1129 1167(p)

Support Activities for Water Transportation (NAICS 4883) 1203 U U U U U U U U U U U U U 1000 1010 1035 1077 1127 1171(p)Port and Harbor Operations (NAICS 48831) 1203 U U U U U U U U U U U U U 1000 1024 1059 1088 1148 1174(p)

Port and Harbor Operations (NAICS 488310) 1203 U U U U U U U U U U U U U 1000 1024 1059 1088 1149 1174(p)Marine Cargo Handling (NAICS 48832) 1203 U U U U U U U U U U U U U 1000 1005 1022 1051 1090 1105(p)

Marine Cargo Handling (NAICS 488320) 1291 U 1000 1012 1026 1029 1021 1016 1037 1049 1067 1091 1114 1109 1115 1132 1151 1184 1228 1244(p)Navigational Services to Shipping (NAICS 48833) 1203 U U U U U U U U U U U U U 1000 1015 1057 1139 1206 1336(p)

Navigational Services to Shipping (NAICS 488330) 1292 U U 1000 998 1015 1072 1109 1133 1156 1197 1242 1254 1274 1293 1331 1386 1495 1582 1753(p)Freight Transportation Arrangement (NAICS 4885) 1296 U U U U U U 1000 994 977 973 983 982 975 979 989 991 988 1002 1025(p)

Freight Transportation Arrangement (NAICS 48851) 1296 U U U U U U 1000 994 977 973 983 982 975 979 989 991 988 1002 1025(p)Freight Transportation Arrangement (NAICS 488510) 1294 U U U U 1000 998 1015 1014 997 992 1003 1003 995 999 1009 1011 (R) 1009 1022 1046(p)

Postal Service (NAICS 491) 0689 1000 1179 1198 1198 1198 1322 1323 1323 1323 1353 1352 1434 1502 1550 1550 1550 1647 1719 1789(p)Postal Service (NAICS 4911) 0689 1000 1179 1198 1198 1198 1322 1323 1323 1323 1353 1352 1434 1502 1550 1550 1550 1647 1719 1789(p)

Couriers and Messengers (NAICS 492) 1203 U U U U U U U U U U U U U 1000 1061 1138 1215 1315 1420(p)Couriers (NAICS 4921) 1203 U U U U U U U U U U U U U 1000 1066 1150 1232 1335 1444(p)Local Messengers and Local Delivery (NAICS 4922) 1203 U U U U U U U U U U U U U 1000 1011 1027 1044 1081 1122(p)

Warehousing and Storage (NAICS 493) 1206 U U U U 827 841 846 854 865 890 908 932 945 958 U U U 1025 1066(p)Warehousing and Storage (NAICS 4931) 1206 U U U U U U U U U U U U U U U U U 1025 1066(p)

General Warehousing and Storage (NAICS 49311) 1203 U U U U U U U U U U U U U 1000 1003 1015 1038 1073 1121(p)General Warehousing and Storage (NAICS 493110) 1203 U U U U U U U U U U U U U 1000 1004 1016 1038 1074 1121(p)

Refrigerated Warehousing and Storage (NAICS 49312) 1203 U U U U U U U U U U U U U 1000 1005 1010 1024 1040 1068(p)Refrigerated Warehousing and Storage (NAICS 493120) 1291 U 1000 1010 1018 1027 1042 1046 1051 1054 1064 1081 1098 1098 1098 1105 1110 1125 1143 1173(p)

Farm Product Warehousing and Storage (NAICS 49313) 1203 U U U U U U U U U U U U U 1000 1002 1015 1038 1040 1087(p)Farm Product Warehousing and Storage (NAICS 493130) 1292 U U 1000 1001 1009 1040 1024 1029 1041 1071 1106 1142 1156 1161 1165 1181 1206 1209 1263(p)

Data are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

US Department of Labor Bureau of Labor Statistics Producer Price Index Industry Data available at wwwblsgovdatasahtm as of February 2009

KEY NA = not applicable NAICS = North American Industry Classification System P = preliminary R = revised U = data are not availabl

NOTES

SOURCE

eries Internet s

Table 3-11a Producer Price Indices for Transportation Equipment (Base date = 100)Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001

Transportation equipment (SIC 37) 1284 1156 1198 1230 1263 1301 1322 1342 1341 1336 1345 1368 1379

Motor vehicles and motor vehicle equipment (SIC 371) 1284 1130 1174 1205 1238 1275 1291 1304 1290 1277 1283 1292 1285

Motor vehicles and passenger car bodies (SIC 3711) 0682 1199 1253 1291 1332 1380 1391 1404 1387 1368 1376 1387 1376

Truck and bus bodies (SIC 3713) 1282 1254 1281 1311 1328 1368 1455 1499 1535 1553 1570 1603 1633

Motor vehicle parts and accessories (SIC 3714) 1282 1089 1103 1110 1117 1120 1135 1140 1131 1126 1120 1116 1115

Truck trailers (SIC 3715) 1279 1256 1281 1312 1342 1386 1486 1478 1477 1522 1536 1566 1561

Motor homes built on purchased chassis (SIC 3716) 0684 1258 1287 1318 1339 1345 1378 1416 1431 1450 1476 1494 1518

Aircraft (SIC 3721) 1285 1160 1204 1243 1286 1329 1373 1405 1423 1427 1441 1505 1557

Aircraft engines and engine parts (SIC 3724) 1285 1126 1179 1236 1257 1290 1309 1334 1348 1358 1368 1397 1440

Aircraft parts and auxiliary equipment NEC (SIC 3728) 0685 1163 1203 1249 1280 1307 1317 1363 1390 1408 1422 1433 1466

Shipbuilding and repairing (SIC 3731) 1285 1140 1162 1183 1233 1268 1276 1301 1333 1348 1354 1376 1401

Boatbuilding and repairing (SIC 3732) 1281 1360 1401 1449 1477 1502 1546 1596 1650 1686 1727 1794 1863

Railroad equipment (SIC 3743) 0684 1142 1173 1187 1198 1226 1276 1296 1274 1275 1281 1286 1282

Motorcycles bicycles and parts (SIC 3751) 1284 1099 1118 1144 1169 1190 1222 1233 1233 1242 1255 1277 1279

Travel trailers and campers (SIC 3792) 0684 1181 1201 1222 1232 1247 1272 1290 1296 1303 1320 1332 1342

Transportation equipment NEC (SIC 3799) 0685 1125 1149 1161 1172 1191 1233 1266 1287 1313 1322 1355 1381

KEY NEC = not elsewhere classified SIC = Standard Industrial Classification

NOTEBureau of Labor Statistics data are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

SOURCEUS Department of Labor Bureau of Labor Statistics Producer Price Index Revision-Current Swwwblsgovdatasahtm as of June 22 2004

ite

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002Transportation Equipment Manufacturing (NAICS 336) 1203 U U U U U U U U U U U U U Motor Vehicle Manufacturing (NAICS 3361) 1203 U U U U U U U U U U U U U Automobile and Light Duty Motor Vehicle Manufacturing (NAICS 33611) 1203 U U U U U U U U U U U U U Automobile and Light Duty Motor Vehicle Manufacturing (NAICS 336110) 0682 1199 1253 1291 1332 1380 1391 1404 1387 1368 1376 1387 1376 1349 Automobile Manufacturing ((NAICS 336111) NA U U U U U U U U U U U U U Light Truck and Utility Vehicle Manufacturing (NAICS 336112) NA U U U U U U U U U U U U U Heavy Duty Truck Manufacturing (NAICS 33612) 1203 U U U U U U U U U U U U U Heavy Duty Truck Manufacturing (NAICS 336120) 1203 U U U U U U U U U U U U U Motor Vehicle Body and Trailer Manufacturing (NAICS 3362) 1203 U U U U U U U U U U U U U Motor Vehicle Body and Trailer Manufacturing (NAICS 33621) 1203 U U U U U U U U U U U U U Motor Vehicle Body Manufacturing (NAICS 336211) 1282 1254 1281 1311 1328 1368 1455 1499 1535 1553 1570 1603 1633 1656 Truck Trailer Manufacturing (NAICS 336212) 1279 1256 1281 1312 1342 1386 1486 1478 1477 1522 1536 1566 1561 1556 Motor Home Manufacturing (NAICS 336213) 0684 1258 1287 1318 1339 1345 1378 1416 1431 1450 1476 1494 1518 1548 Travel Trailer and Camper Manufacturing (NAICS 336214) 1203 U U U U U U U U U U U U U Motor Vehicle Parts Manufacturing (NAICS 3363) 1203 U U U U U U U U U U U U U Motor Vehicle Gasoline Engine and Engine Parts Manufacturing (NAICS 33631) 1203 U U U U U U U U U U U U U Carburetor Piston Piston Ring and Valve Manufacturing (NAICS 336311) 1282 1186 1197 1207 1219 1227 1248 1264 1271 1270 1265 1278 1285 1291 Gasoline Engine and Engine Parts Manufacturing (NAICS 336312) 1203 U U U U U U U U U U U U U Motor Vehicle Electrical and Electronic Equipment Manufacturing (NAICS 33632) 1203 U U U U U U U U U U U U U Vehicular Lighting Equipment Manufacturing (NAICS 336321) 1283 1128 1218 1227 1232 1232 1241 1243 1237 1247 1247 1227 1225 1227 Other Motor Vehicle Electrical and Electronic Equipment Manufacturing (NAICS 336322) 1203 U U U U U U U U U U U U U Motor Vehicle Steering and Suspension Components (except Spring) Manufacturing (NAICS 33633) 1203 U U U U U U U U U U U U U Motor Vehicle Steering and Suspension Components (except Spring) Manufacturing (NAICS 336330) 1203 U U U U U U U U U U U U U Motor Vehicle Brake System Manufacturing (NAICS 33634) 1203 U U U U U U U U U U U U U Motor Vehicle Brake System Manufacturing (NAICS 336340) 1203 U U U U U U U U U U U U U Motor Vehicle Transmission and Power Train Parts Manufacturing (NAICS 33635) 1203 U U U U U U U U U U U U U Motor Vehicle Transmission and Power Train Parts Manufacturing (NAICS 336350) 1203 U U U U U U U U U U U U U Motor Vehicle Seating and Interior Trim Manufacturing (NAICS 33636) 1203 U U U U U U U U U U U U U Motor Vehicle Seating and Interior Trim Manufacturing (NAICS 336360) 1203 U U U U U U U U U U U U U Motor Vehicle Metal Stamping (NAICS 33637) 1203 U U U U U U U U U U U U U Motor Vehicle Metal Stamping (NAICS 336370) 1282 1126 1117 1115 1114 1119 1117 1125 1128 1119 1104 1106 1101 1103 Other Motor Vehicle Parts Manufacturing (NAICS 33639) 1203 U U U U U U U U U U U U U Motor Vehicle Air-Conditioning Manufacturing (NAICS 336391) 1203 U U U U U U U U U U U U U All Other Motor Vehicle Parts Manufacturing (NAICS 336399) 1203 U U U U U U U U U U U U U Aerospace Product and Parts Manufacturing (NAICS 3364) 0685 1177 1223 1266 1301 1340 1373 1408 1427 1434 1448 1499 1547 1573 Aerospace Product and Parts Manufacturing (NAICS 33641) 0685 1177 1223 1266 1301 1340 1373 1408 1427 1434 1448 1499 1547 1573 Aircraft Manufacturing (NAICS 336411) 1285 1160 1204 1243 1286 1329 1373 1405 1423 1427 1441 1505 1557 1588 Aircraft Engine and Engine Parts Manufacturing (NAICS 336412) 1285 1126 1179 1236 1257 1290 1309 1334 1348 1358 1368 1397 1440 1457 Other Aircraft Parts and Auxiliary Equipment Manufacturing (NAICS 336413) 0685 1163 1203 1249 1280 1307 1317 1363 1390 1408 1422 1433 1466 1481 Guided Missile and Space Vehicle Manufacturing (NAICS 336414) NA U U U U U U U U U U U U U Guided Missile and Space Vehicle Propulsion Unit and Propulsion Unit Parts Manufacturing (NAICS 336415) NA U U U U U U U U U U U U U Other Guided Missile and Space Vehicle Parts and Auxiliary Equipment Manufacturing (NAICS 336419) NA U U U U U U U U U U U U U Railroad Rolling Stock Manufacturing (NAICS 3365) 0684 1142 1173 1187 1198 1226 1276 1297 1274 1276 1282 1286 1283 1277 Railroad Rolling Stock Manufacturing (NAICS 336510) 0684 1142 1173 1187 1198 1226 1276 1296 1274 1275 1281 1286 1282 1277 Ship and Boat Building (NAICS 3366) 1284 1201 1227 1257 1299 1330 1350 1382 1420 1441 1456 1490 1526 1568 Ship and Boat Building (NAICS 33661) 1284 1201 1227 1257 1299 1330 1350 1382 1420 1441 1456 1490 1526 1568 Ship Building and Repairing (NAICS 336611) 1285 1140 1162 1183 1233 1268 1276 1301 1333 1348 1354 1376 1401 1441 Boat Building (NAICS 336612) 1281 1360 1401 1449 1477 1502 1546 1596 1650 1686 1727 1794 1863 1905 Other Transportation Equipment Manufacturing (NAICS 3369) 1203 U U U U U U U U U U U U U Other Transportation Equipment Manufacturing (NAICS 33699) 1203 U U U U U U U U U U U U U Motorcycle Bicycle and Parts Manufacturing (NAICS 336991) 1284 1099 1118 1144 1169 1190 1222 1233 1233 1242 1255 1277 1279 1286 Military Armored Vehicle Tank and Tank Component Manufacturing (NAICS 336992) NA U U U U U U U U U U U U U All Other Transportation Equipment Manufacturing (NAICS 336999) 1203 U U U U U U U U U U U U U

Table 3-11b Producer Price Indices for Transportation Equipment NAICS Basis (Base date = 100)

KEY NA = not applicable NAICS = North American Industry Classification System P = preliminary R = revised U = data are unavailable

Bureau of Labor Statistics data are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

US Department of Labor Bureau of Labor Statistics Producer Price Index Industry Data available at wwwblsgovdatasahtm as of February 2009

NOTES

SOURCE

(R) 1960 (R) 1965 (R) 1970 (R) 1975 (R) 1980 (R) 1985 (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Total expenditures 331725 443779 648465 1034394 1757133 2720305 3839937 3986066 4235265 4477887 4743286 4975787 5256832 5547400 5879483 6282474 6739378 7055038 7350721 7703630 8195862 8707820 9224507 9734187Transportation 42843 59375 81462 132364 238939 377667 471680 447265 483158 520812 567305 594576 641805 685203 717973 785045 853428 872366 882220 921716 976481 1049863 1093370 1138730expenditures 129 134 126 128 136 139 123 112 114 116 120 119 122 124 122 125 127 124 120 120 119 121 119 117Food and tobacco 89200 108802 154566 238278 376837 498389 677767 699912 717333 740551 767914 790057 820099 850049 888719 944768 1003707 1051956 1091058 1134005 1200612 1273517 1351641 1431718Clothing accessories and jewelry 32742 41384 57640 85619 132272 188265 261481 263532 280903 293369 306289 314492 327199 337431 356260 379584 396953 397137 406988 418784 441470 464115 491122 511349Personal care 5568 8103 11512 16067 25482 38762 56948 58494 61968 64437 68098 72781 77005 82869 86178 89451 93372 94524 96731 100404 106683 111909 115680 121793Housing 48151 65426 94075 147710 256171 412710 597939 631114 658466 683886 726142 764386 800092 842613 894612 948412 1006456 1073711 1123113 1161807 1226784 1298688 1381341 1465948Household operation 46708 62056 84846 135671 233326 343603 433288 444277 466032 497475 529581 553478 586609 616249 641849 675208 719278 740318 747402 781120 822363 878064 923409 968244Medical care 22209 34710 61293 109892 209618 376388 635133 692866 761108 808997 853318 904963 950741 1002794 1069376 1130846 1218341 1327310 1441209 1556533 1670169 1782147 1899848 2016265Personal business 14118 20101 31785 54909 95229 177525 250859 279658 306656 329982 336123 349561 376036 412925 446055 491581 539098 536516 546991 559661 610938 651475 691909 744252Recreation 18492 26856 43104 70541 117481 189717 290166 301980 321319 351014 383372 418151 448367 474475 505798 546067 585712 604024 629877 659897 707805 746928 791120 829646Education and research 4376 7006 12695 20610 33481 53880 83700 89269 96036 101480 107281 114346 122650 129682 140028 150488 163771 178077 190180 203095 212789 225877 239639 256901Religious and welfare activities 5198 7102 10973 18287 34757 55657 88651 92918 102283 106467 115250 120356 130464 134234 145962 154478 172284 186470 200090 207142 218955 225111 241333 253571Foreign travel and other net 2121 2858 4514 4445 3540 7742 -7673 -15219 -19998 -20582 -17386 -21361 -24233 -21125 -13327 -13453 -13022 -7373 -5137 -536 811 127 4097 -4231Disposable Personal Income (DPI) 365400 498100 735700 1187400 2009000 3109300 4285800 4464300 4751400 4911900 5151800 5408200 5688500 5988800 6395900 6695000 7194000 7486800 7830100 8162500 8680900 9092000 9629100 10177000Transportation as a percent of DPI 117 119 111 111 119 121 110 100 102 106 110 110 113 114 112 117 119 117 113 113 112 115 114 112

DPI US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables table 21 Internet site httpwwwbeagovbeadnnipawebindexasp as of May 13 2008 All except DPI Ibid National Income and Product Accounts Tables table 235u Internet site httpwwwbeagovnationalnipawebnipa_underlyingSelectTableasp as of June 9 2008

Table 3-12 Personal Expenditures by Category (Current $ millions)

KEY R = revised

SOURCES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL transportation 42800 59400 81500 132400 238900 377700 471700 447300 483200 520800 567300 594600 641800 685200 718000 785000 853400 872400 882200 921700 976500 (R) 1051000 (R) 1089000 1138000User-operated transportation total 39500 55300 74500 121100 218800 349800 434700 410800 445900 481100 525400 550500 594800 634600 664400 729300 793800 818300 830900 866000 917500 (R) 989600 (R) 1024600 1072000

New cars and net purchases of used cars 16600 25200 26700 36700 57200 110700 119000 103700 112400 120400 133200 132600 136000 139400 147300 158400 164300 162900 162100 152000 152000 (R) 160300 (R) 164400 158500New and used trucks and RVs 600 1300 2700 7700 11800 41000 63900 60300 70100 80800 91200 96200 108600 123800 144900 165400 173200 195900 216900 227600 230500 (R) 225100 (R) 209000 219100Tires tubes accessories and parts 2500 3500 6100 10300 17900 24300 29900 29500 30500 32800 36000 37800 40300 41900 43900 47000 49000 49100 50300 52000 54400 (R) 57700 (R) 60600 62800Repair and rental a 5500 7600 12300 19800 34000 60500 84900 81900 90300 99500 112500 125500 138700 152900 161100 172600 183500 189100 186000 186800 189500 (R) 198600 (R) 212700 224200Gasoline and oil 12000 14800 21900 39700 86700 97200 111200 108500 112400 114100 116200 120200 130400 134400 122400 137900 175700 171600 164500 192700 231400 (R) 283600 (R) 313800 340600Tolls 300 500 700 800 1100 1500 2300 2500 2800 3100 3400 3700 4000 4400 4400 4800 5100 5100 5300 5500 6000 6500 (R) 7000 7400Insurance premiums less claims paidb 2000 2600 4100 5900 10000 14700 23500 24400 27300 30400 32800 34500 36700 37800 40400 43200 43000 44600 45800 49200 53700 57800 (R) 57200 59400

Purchased intercity transportation total 1300 2000 4000 7300 15400 21000 28600 27700 28200 30300 32100 33900 36200 39500 41800 43900 47400 41600 39000 42700 45200 (R) 46800 (R) 48700 49700Railroad 300 300 200 300 300 400 600 600 500 500 400 400 400 400 400 500 500 600 600 600 600 600 600 700Intercity bus 300 400 500 700 1400 1300 1300 1600 1600 1700 1700 1800 1900 2200 2200 2200 2400 2400 2400 2300 2300 2200 2200 2000Airline 700 1300 3100 5900 12800 17600 22700 21400 21300 22900 24000 25300 26900 29800 31800 33300 36700 31400 28300 31200 33300 34400 (R) 35900 36700Otherc 0 100 200 400 900 1700 4000 4200 4800 5300 5900 6400 7000 7000 7300 7800 7800 7300 7800 8600 9100 (R) 9700 (R) 9900 10300

Purchased local transportation total 2000 2100 3000 4000 4800 6800 8400 8800 9000 9400 9900 10100 10900 11100 11800 11900 12200 12500 12300 13000 13800 14600 (R) 15700 16400Mass transit system 1400 1400 1800 2100 2900 4200 5800 6100 6500 6700 7100 7100 7700 7800 8300 8600 9100 9200 9000 9500 10200 10700 (R) 11400 11900Taxi 600 600 1200 2000 1900 2600 2600 2600 2600 2700 2800 3000 3200 3300 3500 3300 3100 3200 3300 3500 3600 3900 (R) 4300 4500

Numbers may not add to totals due to rounding

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables table 255 available at httpwwwbeagovnationalindexhtm as of March 2009

a Also includes greasing washing parking storage and leasing

NOTE

SOURCE

Table 3-13 Personal Consumption Expenditures on Transportation by Subcategory (Current $ millions)

b Consists of premiums plus premium supplements less normal losses and dividends paid to policyholders for motor vehicles insurance c Consists of baggage charges coastal and inland waterway fares travel agents fees airports bus fares and limousine services

KEY R = revised RVs = recreational vehicles

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Average total cost per mile (current cent) 144 212 232 330 373 388 387 394 412 426 448 461 470 491 510 502 517 562 522 522 541Gasb 48 59 56 54 66 59 59 56 58 56 66 62 56 69 79 59 72 65 95 89 117Gas as a percent of total cost b 334 279 240 164 177 152 152 142 141 131 147 134 119 141 155 117 139 116 182 171 216Maintenance c 10 11 12 21 22 22 24 25 26 28 28 31 33 36 39 41 41 54 49 49 46Tires 07 06 07 09 09 09 09 10 12 12 14 14 17 17 18 18 18 07 07 07 07Average total cost per 15000 miles (current $) 2154 3176 3484 4954 5601 5824 5804 5916 6185 6389 6723 6908 7050 7363 7654 7533 7754 8431 7834 7823 8121Variable cost 968 1143 1113 1260 1455 1350 1380 1365 1440 1440 1620 1605 1590 1829 2040 1770 1965 1890 2265 2175 2545Fixed cost d 1186 2033 2371 3694 4146 4474 4424 4551 4745 4949 5103 5303 5460 5534 5614 5764 5789 6541 5569 5648 5576

Table 3-14 Average Cost of Owning and Operating an Automobilea (Assuming 15000 Vehicle-Miles per Year)

American Automobile Association Your Driving Costs (Heathrow FL Annual issues) as of June 2008

a All figures reflect the average cost of operating a vehicle 15000 miles per year in stop and go conditionsb Prior to 2004 data include oil costc Beginning in 2004 data include oil costd Fixed costs (ownership costs) include insurance license registration taxes depreciation and finance charges

NOTES Methodological changes in 1985 and 2004 make it difficult to compare costs before and after those yearsIn 2004 the American Automobile Association adopted a new method for calculating vehicle operating costs that the Association believes more closely represents the real-world personal use of a vehicle over a five-year and 75000-mile ownership period Prior to 1985 the cost figures are for a mid-sized current model American car equipped with a variety of standard and optional accessories After 1985 the cost figures represent a composite of three current model American cars The 2004 fuel costs are based on average late-2003 US prices from AAAs Fuel Gauge Report wwwfuelgaugereportcom Insurance figures are based on a full-coverage policy for a married 47-year-old male with a good driving record living in a small city and commuting three to ten miles daily to work The policy includes $100000$300000 level coverage with a $500 deductible for collision coverage and a $100 deductible for comprehensive coverage Depreciation costs are based on the difference between new-vehicle purchase price and its estimated trade-in-value at the end of five years American Automobile Association analysis covers vehicles equipped with standard and optional accessories including automatic transmission air conditioning power steering power disc brakes AMFM stereo driver- and passenger-side air bags anti-lock brakes cruise control tilt steering wheel tinted glass emissions equipment and rear-window defogger

SOURCE

Table 3-15a Average Passenger Fares (Current $)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carrier domestic scheduled service 3301 3413 4065 5364 8460 9253 10786 10678 10360 10980 10321 10666 11037 11410 11434 11498 12127 11160 10194 10375 10359 10627 11325Class I bus intercitya 246 273 381 546 1057 1198 2022 2186 2115 2132 1977 2010 2285 2083 2314 2616 2946 3027 3011 U U U UTransit all modesb (unlinked) 014 016 022 027 030 053 067 070 072 077 085 088 093 090 091 090 093 092 (R) 090 097 102 (R) 105 112Commuter rail 064 071 084 104 141 285 290 301 309 309 319 313 325 330 329 330 (R) 333 343 (R) 350 379 390 408 422Intercity rail Amtrakc 422 392 319 1296 1772 2615 3959 4119 4078 4011 3910 3992 4331 4526 4475 4685 4961 5158 5515 5068 5071 5117 5645KEY R = revised U = data are not available

a Regular route intercity serviceb Prior to 1984 excludes commuter railroad automated guideway urban ferryboat demand responsive and most rural and smaller systemsc Amtrak began operations in 1971

SOURCESAir carrier domestic scheduled service1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC February 1970) part III table 2 (enplanements) part IV table 2 (passenger revenue)1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC March 1974) part III table 2 (enplanements) part IV table 2 (passenger revenue)

1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual December issues) p 1 line 3 and Air Carrier Traffic Statistics ( Washington DC Annual December issues) p 2 line 16 (passenger revenue revenue passenger enplanements) 1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) and Air Carrier Traffic Statistics (Washington DC Annual December issues) (passenger revenue revenue passenger enplanements) Class I bus intercity1960-93 Interstate Commerce Commission Transport Statistics in the United States Motor Carriers (Washington DC Annual issues) part 21994-2002 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class I Motor Carriers of Passengers (Washington DC Annual issues) (operating revenue revenue passengers)Transit and commuter rail1960-2006 American Public Transportation Association Public Transportation Fact Book(Washington DC Annual issues)table 49 and similar tables in earlier editions (passenger fares passenger trips)Intercity rail Amtrak1960-70 Association of American Railroads Railroad Facts (Washington DC Annual issues)1975-80 Amtrak State and Local Affairs Department and Public Affairs Department personal communication1985 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (transportation revenues Amtrak system passenger trips)1990-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (ticket revenue per passenger mile x average trip length of passengers)2003-06 Association of American Railroads Railroad Facts (Washington DC Annual issues)

Table 3-15b Average Passenger Fares (Chained 2000 $)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carrier domestic scheduled service 13896 13827 13865 13545 12318 11242 11794 11918 11414 11374 11260 11473 12453 12138 11986 12039 12127 12107 (R) 12302 12232 (R) 12441 (R) 12521 12620Class I bus intercitya 1771 1857 2046 1870 2263 1636 2331 2408 2293 2387 2216 2322 2591 2351 2479 2736 2946 2931 2826 U U U UTransit all modesb (unlinked) 102 101 092 097 075 084 086 087 085 088 096 097 094 089 091 091 093 089 085 086 085 008 UCommuter rail 460 502 504 484 397 511 381 385 389 383 392 365 356 362 352 340 332 328 321 352 396 412 UIntercity rail Amtrakc 3030 2773 1915 6029 4986 4685 5199 5265 5139 4978 4804 4656 4739 4959 4787 4832 4961 4918 5072 (R) 4710 (R) 5151 5157 5236KEY R = revised U = data are not available

a Regular route intercity serviceb Prior to 1984 excludes commuter railroad automated guideway urban ferryboat demand responsive and most rural and smaller systemsc Amtrak began operations in 1971

SOURCESAir carrier domestic scheduled service1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC February 1970) part III table 2 (enplanements) part IV table 2 (passenger revenue)1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC March 1974) part III table 2 (enplanements) part IV table 2 (passenger revenue)1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual December issues) p 1 line 3 and Air Carrier Traffic Statistics (Washington DC Annual December issues) p 2 line 16 (passenger revenue revenue passenger enplanements) 1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) and Air Carrier Traffic Statistics (Washington DC Annual December issues) (passenger revenue revenue passenger enplanements) Class I bus intercity1960-93 Interstate Commerce Commission Transport Statistics in the United States Motor Carriers (Washington DC Annual issues) part 21994-2002 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class I Motor Carriers of Passengers (Washington DC Annual issues) (operating revenue revenue passengers)Transit and commuter rail1960-2005 American Public Transportation Association Public Transportation Fact Book 2006 (Washington DC 2006) table 7 and table 51 and similar tables in earlier editions (passenger fares passenger trips)Intercity rail Amtrak1960-70 Association of American Railroads Railroad Facts (Washington DC Annual issues)1975-80 Amtrak State and Local Affairs Department and Public Affairs Department personal communication1985 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (transportation revenues Amtrak system passenger trips)1990-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (ticket revenue per passenger mile x average trip length of passengers)2003-06 Association of American Railroads Railroad Facts (Washington DC Annual issues)

Section CTransportation Revenues

Employment and Productivity

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air carrier domestic scheduled service 61 61 60 77 115 122 134 132 129 137 131 135 138 140 141 140 146 132 120 123 120 (R) 123 130Index (1990 = 100) 46 46 45 57 86 91 100 99 96 102 98 101 103 104 105 104 109 99 90 92 90 (R) 92 97Class I bus intercitya 27 29 36 49 73 99 116 120 118 120 116 122 123 126 128 128 128 129 U U U U UIndex (1990 = 100) 23 25 31 42 63 86 100 104 102 104 101 106 106 109 110 110 111 112 U U U U UCommuter rail 29 33 38 46 67 121 134 130 133 143 135 131 137 147 144 149 146 151 152 162 166 182 UIndex (1990 = 100) 22 25 28 34 50 90 100 97 99 107 101 97 102 109 107 111 109 112 113 121 124 136 UIntercity Amtrakb 30 31 40 57 82 113 141 141 141 140 137 146 166 173 175 184 232 249 268 250 260 272 297Index (1990 = 100) 21 22 28 40 58 80 100 100 100 99 97 103 118 123 124 130 165 176 190 177 185 194 217Consumer Price Index (1982-84 = 100) 30 32 39 54 82 108 131 136 140 145 148 152 157 161 c 163 d 167 172 177 180 184 189 195 202

Commuter rail

1960-2006 Council of Economic Advisors Economic Report of the President 2006 (Washington DC 2006) table B-60

1960-70 Association of American Railroads Railroad Facts (Washington DC Annual issues)1975-80 Eno Transportation Foundation Inc Transportation in America 1994 (Lansdowne VA 1994) p 501985-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (transportation revenues passenger-miles)

Consumer Price Index

2003-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in previous editions (passenger revenuerevenue passenger miles)

Table 3-16 Average Passenger Revenue per Passenger-Mile (Current cent)

Intercity class I bus 1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 48

Intercity Amtrak

1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC March 1974) part III table 2 (passenger-miles) part IV table 2 (passenger revenues)1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual December issues) p 2 line 3 Ibid Air Carrier Traffic Statistics (Washington DC Annual December issues) p 4 line 91985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) p 4 line 9 and similar pages in previous editions and Air Carrier Traffic Statistics (Washington DC Annual December issues) p 4 and similar pages in previous editions (total passenger operating revenues total revenue passenger-miles)

1960-1985 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 481990-2005 American Public Transportation Association Public Transportation Fact Book 2006 (Washington DC 2006) tables 10 and 51 (passenger fares passenger miles)

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC February 1970) part III table 2 (passenger-miles) part IV table 2 (passenger revenues)

KEY R = revised U = data are not available

a Regular route intercity serviceb Amtrak began operations in 1971c Beginning in 1998 data reflect changes in series composition and renamingd Beginning in 1999 data reflect changes in the formula used for calculating the basic components of the Consumer Price Index

SOURCESAir carrier domestic scheduled service

Table 3-17 Average Freight Revenue Per Ton-mile (Current cent)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carrier domestic scheduled service 228 205 219 282 463 488 646 648 641 714 722 765 815 798 827 809 780 804 608 532 594 762 822Index (1990 = 100) 35 32 34 44 72 75 100 100 99 110 112 118 126 123 128 125 121 124 94 82 92 118 127Trucka 63 65 85 116 180 229 244 248 231 250 250 251 260 261 262 262 270 266 U U U U UIndex (1990 = 100) 26 26 35 48 74 94 100 102 95 102 103 103 107 107 107 107 111 109 U U U U UClass I rail 140 127 143 204 287 304 266 259 258 252 249 240 235 240 234 228 226 224 226 228 235 262 284Index (1990 = 100) 53 48 54 77 108 114 100 97 97 95 94 90 88 90 88 86 85 84 85 86 88 99 107Barge N 035 030 052 077 080 076 078 076 076 074 073 073 074 074 074 073 072 U U U U UIndex (1990 = 100) N 46 40 68 102 106 100 103 100 100 97 97 96 97 98 98 97 95 U U U U UOil pipeline 032 028 027 037 c133 157 146 140 145 143 147 151 140 140 138 146 145 147 U U U U UIndex (1990 = 100) 22 19 19 25 91 107 100 96 100 98 101 104 96 96 95 100 100 101 U U U U UProducer Price Index (1982 = 100)b 33 34 39 58 88 105 119 122 123 125 126 128 131 132 131 133 138 141 139 143 149 156 160KEY U = data are not available

a General freight common carriers most of which are LTL (less-than-truckload) carriersb Total finished goodsc Reflects entrance of Alaska pipeline moving crude petroleum to US refineries between 1975 and 1980

SOURCESAir carrier domestic scheduled service1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III tables 2 and 131965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III tables 2 and 131975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) pp 4 and 14 (December 1976) and pp 2 and 3 (December 1981)1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) (freight operating revenues)Ibid Air Carrier Traffic Statistics (Washington DC Annual December issues) (freight revenue ton-miles)Truck barge and oil pipeline1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 47Class I rail1960-2005 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 30 Producer Price Index

1960-2006 Council of Economic Advisors Economic Report of the President 2007 (Washington DC 2007) table B-65

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air carrier domestic all services 2178 3691 7180 12020 26440 37629 57961 56165 57654 63233 65949 70885 76891 82250 86494 90931 98896 86511 79220 88830 99229 (R) 111730 119967Truckinga N N N N N N 127314 126772 135437 142547 155713 161806 174743 183153 197314 207751 223197 221355 222383 228311 248191 272911 UClass I bus intercity 463 607 722 955 1397 1233 943 981 938 928 870 917 912 996 999 1014 1088 1076 1070 U U U UTransitb 1407 1444 1707 3451 6510 12195 16053 16533 16915 17276 17968 18241 19151 19515 21062 22220 24243 25288 26632 28021 29718 U UClass I rail 9514 10208 11992 16402 28258 27586 28370 27845 28349 28825 30809 32279 32693 33118 33151 33521 34102 34576 35327 36639 40517 46118 52152Intercity Amtrakc N N N 253 454 832 1308 1347 1320 1400 1409 1490 1550 1669 2244 2011 2111 2109 2228 2074 1865 1886 2042Water transportation (domestic)d 1722 1822 2070 3293 7219 7704 7940 7964 7935 8028 7745 7712 7283 6940 6824 6795 6930 6235 U U U U UOil pipelinee 895 1051 1396 2220 7548 8910 8506 8095 8548 8470 8676 9077 8637 8632 8579 9067 8958 9066 U U U U UGas pipeline (investor-owned)f 8700 11500 16400 30551 85918 103945 66027 63922 66405 69965 63430 58435 72025 U 57548 59142 72075 79276 68594 75567 80331 102062 U

Transmission companies 3190 4088 5928 11898 41604 45738 21756 19818 20193 19873 13841 12092 12050 10339 9450 9555 10404 10257 10096 10892 11313 16547 UDistribution companies N N N 5938 14013 21510 18750 17812 19854 20307 20911 19421 30407 30864 28182 28135 34696 39179 31210 38199 40410 48957 UIntegrated companies N N N 6962 17300 17396 10117 11047 10279 12506 11827 10899 11941 12125 2974 3086 3755 4184 3150 3753 2424 2803 UCombination companies N N N 5753 13001 19301 15404 15245 16079 17279 16851 16023 17627 U 16942 18366 23220 25656 24138 22723 26184 33755 U

Transit

d Includes foreign traffic moving on domestic inland waterways

1960-93 Interstate Commerce Commission Annual Report of the Interstate Commerce Commission (Washington DC Annual issues)

1994-2001 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class 1 Motor Carriers of Passengers (Washington DC Annual issues)

e Oil pipeline revenues are much smaller than gas pipeline revenues because oil pipeline companies are common carriers that include transportation costs only

Trucking

1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual issues) p 11985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues)

Intercity Class I bus1998-2005 Ibid Service Annual Survey 2004 (Washington DC February 2006) table 211990-97 US Department of Commerce Bureau of the Census Transportation Annual Survey 1998 (Washington DC January 2000) table 1

1960-2004 American Public Transportation Association Public Transportation Fact Book 2007 (Washington DC 2007) table 50 and similar tables in earlier editions

f Data are not directly comparable from year to year due to acquisition and mergers Prior to 1975 pipeline companies are not categorized by distribution integrated or combination Total numbers for these companies are 1960 = 5505 1965 = 7437 1970 = 10542 In 1997 the American Gas Association revised the database that identifies companies by type (distribution integrated or transmission) This reclassification of companies has resulted in numerous additions to the distribution company sample in particular from the integrated company sample

Air carrier domestic all services1960-70 Civil Aeronautics Board Handbook of Airline Statistics 1973 (Washington DC March 1974)

SOURCES

KEY N = data do not exist R = revised U = data are not available

a Data from 1990 through 1997 include local trucking (4212) trucking except local (4213) local trucking without storage (4214) and courier services except air (4215) based on SIC (Standard Industrial Classification) For 1998 and later data includes truck transportation (484) and couriers and messengers (492) based on NAICS (North American Industry Classification System) Therefore data from 1998 onward are not directly comparable with data prior to 1998b Excludes commuter rail automated guideway urban boat demand responsive and most rural and smaller systems prior to 1984 Includes operating assistancec Amtrak began operations in 1971

Gas pipeline

2004-06 Ibid Consolidated Financial Statements Internet site httpwwwamtrakcompdf07financialpdf as of Jan 4 2008

1960-2006 Association of American Railroads Railroad Facts (Washington DC 2007) p 12 and similar tables in earlier editions Class I rail

2002 Ibid Consolidated Financial Statements Internet site httpwwwamtrakcompdf03financialpdf as of July 21 2004

IntercityAmtrak

Table 3-18 Total Operating Revenues (Current $ millions)

Oil pipeline

2002 Ibid personal communication Oct 6 2004

1960-2005 American Gas Association Gas Facts (Washington DC Annual issues) tables 11-1 11-2 11-3 and 11-4 and similar tables in earlier editions

1960-2001 Eno Transportation Foundation Inc Transportation in America (Washington DC 2002) p 38-40

1975-80 Amtrak State and Local Affairs Department and Public Affairs Department personal communication1985-2001 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

2003 Ibid Consolidated Financial Statements Internet site httpwwwamtrakcompdf04financialpdf as of Feb 2 2006

1960-2001 Eno Transportation Foundation Inc Transportation in America (Washington DC 2002) p 38-40Water transportation

SIC 1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002

TOTAL US labor forceb 54189 60763 70880 76945 90406 97387 109403 108249 108601 110713 114163 117191 119608 122690 125865 128916 131720 131922 130791

Transportation-related labor force total 5160 5737 6128 7834 8488 9211 10093 9836 9713 9858 10189 10501 10215 11002 11262 11523 11664 11585 11343

For-hire transportation industry total 2395 2683 2855 2796 3128 3172 3675 3661 3659 3759 3920 4057 4166 4264 4410 4545 4645 4622 4438

45 Air 191 229 352 363 453 522 968 962 964 988 1023 1068 1107 1134 1181 1227 1280 1266 1161

42 Trucking and warehousing 856 964 1083 1108 1280 1361 1395 1378 1385 1444 1526 1587 1637 1677 1744 1810 1847 1848 1826

41 Local and interurban passenger transit 284 269 281 270 265 277 338 354 361 379 404 419 437 452 469 478 476 479 472

413 Intercity and rural bus 41 42 43 40 38 35 26 24 23 22 24 24 24 22 24 24 25 25 23

411 Local and suburban U U U 69 79 92 141 155 162 176 194 203 218 229 236 238 233 236 235

415 School busc N N N 65 80 91 111 115 118 122 126 131 132 137 141 146 147 148 149

412 Taxi 121 110 106 85 53 38 32 32 30 30 31 31 31 31 31 32 32 32 31

Other local and interurband 123 118 131 11 16 22 28 28 28 29 30 31 33 34 36 38 40 38 35

40 Railroad 885 735 634 548 532 359 279 262 254 248 241 238 231 227 231 235 237 234 229

44 Water N 228 212 194 211 185 177 184 173 168 172 175 174 179 181 186 194 192 190

46 Liquid pipeline 23 20 18 18 21 19 19 19 19 18 17 15 15 14 14 13 14 15 15

492 Gas production and distribution 155 154 161 162 168 175 165 166 163 161 159 154 147 141 137 134 128 126 121

47 Transportation servicese N 85 115 134 198 275 336 336 338 352 378 401 418 441 454 463 470 463 423

Equipment manufacturing (SIC 37 and SIC 301)

total 1773 1955 1949 1824 1995 2054 2073 1971 1911 1838 1840 1870 1864 1923 1973 1967 1931 1835 1739

372 Aircraft and parts 605 601 644 499 633 616 712 669 612 542 482 451 458 501 525 496 464 461 410

371 Motor vehicles and equipment 724 843 799 792 789 883 812 789 813 837 909 971 967 986 995 1018 1017 947 912

374 Railroad equipment 43 56 51 57 71 33 33 30 29 31 35 38 36 34 37 38 36 30 27

373 Ship and boat building and repairing 141 160 172 194 221 187 188 177 170 159 158 160 159 158 167 167 168 161 158

301 Tires and inner tubes 105 102 116 124 115 94 84 81 81 82 79 80 80 78 80 79 79 75 72

Otherf 155 193 167 157 167 241 244 225 207 188 177 172 165 167 168 168 168 161 161

Related industries total 461 522 613 2498 2694 3336 3672 3532 3508 3612 3782 3930 4086 4186 4251 4368 4442 4473 4479

553 Automotive and home supply stores U U U 212 261 304 337 332 332 340 357 369 380 392 397 404 408 410 406

75 Automotive repair services and parking U U U 439 571 730 914 882 881 925 968 1020 1080 1120 1145 1196 1234 1257 1263

554 Gasoline service stations 461 522 613 622 561 588 647 626 616 617 634 649 669 676 680 660 652 648 641

161 Highway and street construction U U U U U 264 239 218 215 222 226 228 236 243 257 280 281 289 286

501 Motor vehicles parts and supplies U U U 382 434 454 456 448 446 451 471 492 503 513 517 524 517 502 498

551 New and used car dealers U U U 731 745 856 924 879 875 908 963 996 1031 1046 1047 1080 1112 1121 1130

Other automotive retailg N N N 112 122 140 155 146 143 148 163 176 187 197 208 223 239 246 256

Government employment total h 532 577 711 716 671 649 673 672 635 650 647 644 99 629 629 643 646 654 686

US DOTi N N 104 112 112 100 104 108 110 109 103 101 99 98 99 100 100 102 141

State and local highwayj 532 577 607 604 559 549 569 564 525 541 544 543 (k) N 531 530 543 546 552 545

Table 3-19a Employment in For-Hire Transportation and Selected Transportation-Related Industriesa (Standard Industrial Classification [SIC] basis) (Thousands)

f The difference between the total of SIC 37 and the sum of 371 372 373 and 374g The difference between the total of SIC 55 and the sum of 551 553 and 554h Not all government agencies are included (eg the National Transportation Safety Board)

a Annual averagesb Excludes farm employmentc Does not include drivers employed by school districts

KEY N = data do not exist SIC = Standard Industrial Classification U = data are not available

d Difference between the total of SIC 41 and the sum of 411 412 413 and 415e Transportation services are defined as services incidental to transportation such as forwarding and packing motor vehicle inspectionsand freight broker tour operator and travel agency services etc

i US Department of Transportation was created in 1966 Data are for fiscal year and include permanent civilians as well as temporaryemployees and military j Full-time equivalent employment Data prior to 1986 are not directly comparable to data from later years due to a change in the way full-time equivalent was calculated Full-time equivalent was not calculated for 1985 k Due to a change in the reference period from October to March the October 1996 Annual Survey of Government Employment and Payroll was not conducted

NOTE

Government employment

All data except as noted1960-85 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-1994 (Washington DC September 1994) 1990-2002 Ibid Internet site wwwblsgov database query for individual series as of June 11 2003

1992-2003 Ibid Internet site httpwwwcensusgovpubgovswwwapesstlhtml as of July 24 2002 and July 6 2004

1990-2003 Ibid DOT Workforce Demographics (Washington DC Annual issues)State and local highway1960-91 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1993 (Washington DC 1993) table 500 and similar tables in earlier editions

1980-85 US Department of Transportation Office of the Secretary of Transportation DOT Employment Facts A Report to Management (Washington DC Annual issues)

USDOT

1970-75 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1976 ( Washington DC 1976) table 409 and US Department of Transportation US Coast Guard G-WPM Office of Military Personnel personal communication

The employment totals in tables 3-19 and 3-20 differ Table 3-19 shows employment in transportation and selected transportation-relatedindustries Table 3-20 shows employment by transportation occupation Some employees of transportation industries have nontransportation jobs (eg a bookkeeper in a trucking firm) and some people with transportation occupations do not work in thetransportation industry (eg a truck driver for a construction firm) Beginning in January 1999 data are not strictly comparable with data for 1998 and earlier years because of revisions in the population controls used in the household survey

SOURCES

Table 3-19b Employment in For-Hire Transportation and Selected Transportation-Related Industriesa (North American Industry Classification System (NAICS] basis) (Thousands) NAICS Code 1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL US labor forceb 54296 60874 71006 77069 90528 97511 109487 108374 108726 110844 114291 117298 119708 122776 125930 128993 131785 131826 130341 129999 131435 133703 136086 137623Transportation related labor force 2115 2059 2228 2925 2879 3346 12087 11778 11618 11739 12096 12450 12192 12998 13269 13547 13638 13473 13117 12934 12971 (R) 13108 13205 13197

48-49 Transportation and warehousing U U U 2620 2961 3012 3476 3463 3462 3554 3701 3838 3935 4027 4168 4300 4410 4372 4224 4185 4249 (R) 4361 4470 4536481 Air transportation U U U U U U 529 525 520 517 511 511 526 542 563 586 614 615 564 528 515 501 487 493

4811 Scheduled air transportation U U U U U U 503 498 491 486 477 473 486 501 520 543 570 570 520 485 472 456 (R) 442 4474812 Nonscheduled air transportation U U U U U U 27 27 29 31 34 38 40 41 43 44 45 45 44 43 43 44 45 46482 Rail transportation 862 716 617 534 518 350 272 256 248 242 235 233 225 221 225 229 232 227 218 218 226 228 (R) 228 234483 Water transportation U U U U U U 57 57 57 53 52 51 51 51 51 52 56 54 53 55 56 61 (R) 63 64

4831 Sea coastal and Great Lakes water transportation U U U U U U 35 36 35 33 33 32 32 32 32 33 36 34 32 34 35 37 39 404832 Inland water transportation U U U U U U U U U U U U U U U U U U U U U U U U484 Truck transportation U U U U U U 1122 1105 1107 1155 1206 1249 1282 1308 1354 1392 1406 1387 1339 1326 1352 1398 (R) 1436 1441

4841 General freight trucking U U U U U U 807 795 797 831 867 901 924 942 976 1002 1013 992 952 935 950 981 (R) 1005 10064842 Specialized freight trucking U U U U U U 315 310 311 324 339 348 359 367 379 390 393 395 388 390 402 417 (R) 431 435485 Transit and ground passenger transportation U U U U U U 274 284 288 (R) 300 317 328 339 350 363 371 372 375 381 382 385 389 (R) 399 410

4851 Urban transit systems U U U U U U 21 23 25 27 29 31 33 35 36 36 35 36 38 38 39 40 (R) 40 404852 Interurban and rural bus transportation 38 39 41 38 36 33 25 23 22 21 22 23 23 21 23 23 23 24 23 22 21 20 20 194853 Taxi and limousine service U U U U U U 57 59 58 61 64 66 68 70 72 73 72 71 68 67 66 66 (R) 69 724854 School and employee bus transportation U U U 66 81 93 114 118 121 125 130 136 137 142 146 151 152 153 161 165 167 169 (R) 172 1774855 Charter bus industry U U U 11 15 21 26 27 27 28 28 29 31 32 34 36 38 37 36 33 32 31 (R) 31 324859 Other transit and ground passenger transportation U U U U U U 31 34 36 39 43 45 48 51 52 53 51 54 56 58 59 63 (R) 67 70486 Pipeline transportation U U U U U U 60 61 60 59 57 54 51 50 48 47 46 45 42 40 38 38 (R) 39 40

4861 Pipeline transportation of crude oil U U U U U U U U U U U U U U U U U U U U U U U U4862 Pipeline transportation of natural gas U U U U U U U U U U U U U U U U U U U U U U U U4869 Other pipeline transportation U U U U U U U U U U U U U U U U U U U U U U U U487 Scenic and sightseeing transportation U U U U U U 16 17 18 19 21 22 23 25 25 26 28 29 26 27 27 (R) 29 (R) 28 29

4871 Scenic and sightseeing transportation land U U U U U U U U U U U U U U U U U U U U U U U U4872 Scenic and sightseeing transportation water U U U U U U U U U U U U U U U U U U U U U U U U4879 Scenic and sightseeing transportation other U U U U U U U U U U U U U U U U U U U U U U U U488 Support activities for transportation U U U U U U 364 377 370 382 405 430 446 473 497 518 537 539 525 520 535 (R) 552 (R) 571 583

4881 Support activities for air transportation U U U U U U 96 96 96 99 101 104 109 115 124 133 141 140 139 136 142 148 (R) 157 1644883 Support activities for water transportation U U U U U U 91 96 89 86 89 92 90 92 94 96 97 95 95 94 92 94 (R) 99 1004884 Support activities for road transportation U U U U U U 35 36 38 41 45 49 53 57 60 63 66 69 70 72 76 79 (R) 81 834885 Freight transportation arrangement U U U U U U 111 115 114 120 130 143 149 161 166 172 178 179 168 167 171 177 (R) 180 1834889 Support activities for other transportation including rail U U U U U U 32 33 34 37 40 43 45 48 53 54 56 57 52 52 55 55 (R) 53 53491 Postal service 591 619 741 699 673 750 825 813 800 793 821 850 867 866 881 890 880 873 842 809 (R) 782 774 (R) 770 762492 Couriers and messengers U U U U U U 375 379 389 414 466 517 540 546 568 586 605 587 561 562 557 (R) 571 (R) 582 583

4921 Couriers and express delivery services U U U U U U 340 344 354 378 423 469 489 494 513 528 546 530 507 510 507 (R) 522 (R) 533 5334922 Local messengers and local delivery U U U U U U 35 35 35 36 43 48 51 52 55 58 59 57 54 51 50 50 (R) 50 49493 Warehousing and storage U U U U U U 407 403 406 413 431 444 452 462 474 494 514 514 517 528 558 (R) 595 (R) 638 659

Transportation related manufacturing324 Petroleum and coal products manufacturing U U U U U U 153 155 152 146 144 140 137 136 135 128 123 121 118 114 112 (R) 112 (R) 113 113

32621 Tire manufacturingc U U U U U U 90 86 87 87 85 87 86 84 87 87 87 82 76 72 70 67 (R) 60 5932622 Rubber and plastic hoses and belting manufacturing U U U 29 31 26 25 23 23 24 26 27 27 28 29 30 30 29 28 28 28 29 (R) 28 27

334511 Search detection navigation guidance aeronautical and nautical system and instrument manufacturing U U U U U 354 280 256 226 201 175 158 158 159 163 161 149 150 148 145 151 157 (R) 158 159

336 Transportation equipment manufacturing U U U U U U 2133 2028 1977 1914 1936 1977 1974 2026 (R) 2078 (R) 2089 (R) 2057 (R) 1939 (R) 1830 (R) 1775 (R) 1767 (R) 1772 (R) 1769 17113361 Motor vehicle manufacturing U U U U U U 271 258 260 264 282 295 285 287 284 291 291 279 265 265 256 248 (R) 237 2233362 Motor vehicle body and trailer manufacturing U U U U U U 130 120 126 136 151 160 155 158 170 184 183 159 152 153 165 171 (R) 179 1653363 Motor vehicle parts manufacturing U U U U U U 653 639 661 678 736 787 800 809 818 837 840 775 734 708 692 678 (R) 655 6093364 Aerospace product and parts manufacturing U U U U U U 841 784 711 624 552 514 514 555 579 547 517 511 470 442 442 455 (R) 474 4873365 Railroad rolling stock manufacturing U U U U U U 31 28 27 29 33 35 33 32 35 35 33 28 23 23 25 27 (R) 28 273366 Ship and boat building (R) 130 (R) 148 (R) 158 (R) 179 (R) 203 (R) 172 (R) 174 (R) 165 (R) 158 (R) 148 (R) 147 (R) 148 (R) 147 (R) 146 (R) 154 (R) 154 (R) 154 (R) 148 (R) 147 (R) 147 (R) 149 (R) 154 (R) 157 1613369 Other transportation equipment manufacturing U U U U U U 35 35 36 37 38 40 41 41 40 40 40 39 39 38 38 39 (R) 40 40

Other transportation related industries2373 Highway street and bridge construction U U U U U U 289 267 264 271 274 278 288 294 308 336 340 346 346 340 347 (R) 351 (R) 348 3454231 Motor vehicle and motor vehicle parts and supplies merchant

wholesalers U U U U U U 309 304 302 306 320 335 343 350 354 360 356 347 346 342 341 344 (R) 348 350

42386 Transportation equipment and supplies merchant wholesalersd

U U U U U U 35 34 33 31 31 32 33 35 37 40 39 36 34 32 32 (R) 33 (R) 33 344247 Petroleum and petroleum products merchant wholesalers U U U U U U 155 147 137 129 128 126 124 123 122 123 119 114 111 106 101 (R) 100 (R) 100 100

441 Motor vehicle parts dealers U U U U U U 1494 1435 1428 1475 1565 1627 1686 1723 1741 1797 1847 1855 1879 1883 1902 1919 (R) 1910 19134411 Automobile dealers U U U 769 783 904 983 938 935 970 1032 1072 1113 1135 1142 1180 1217 1225 1253 1254 1257 1261 1247 12454412 Other motor vehicle dealers U U U U U U 93 84 81 83 91 97 101 105 110 121 132 136 142 149 159 166 (R) 169 1704413 Automotive parts accessories and tire stores U U U U U U 418 413 413 422 443 459 471 484 489 496 499 493 485 480 487 491 (R) 494 497447 Gasoline stations U U U U U U 910 889 876 881 902 922 946 956 961 944 936 925 896 882 876 871 (R) 864 861

5321 Automotive equipment rental and leasing U U U U U 142 163 152 151 156 163 171 180 184 189 199 208 208 195 193 197 199 (R) 199 195532411 Commercial air rail water transportation equipment rental and

leasing

U U U U U U U U U U U U U U U U U U U U U U U U5615 Travel arrangement and reservation services U U U U U U 250 240 245 256 271 281 294 302 304 297 299 285 252 235 226 224 (R) 226 2276219 Other ambulatory health care services U U U U U U 99 107 114 125 135 143 154 164 171 173 173 180 187 195 200 (R) 206 (R) 217 2298111 Automotive repair and maintenance U U U U U U 659 636 636 670 701 738 781 811 828 864 888 904 900 894 891 (R) 886 (R) 887 888

81293 Parking lots and garages U U U U U U 68 69 68 70 71 75 78 82 85 89 93 96 96 100 102 (R) 103 (R) 108 11092612 Regulation and administration of transportation programs U U U U U U U U U U U U U U U U U U U U U U U U

Government employment totale 532 577 711 716 671 649 673 672 635 650 647 644 99 647 629 642 604 611 610 605 600 602 599 577US DOTf N N 104 112 112 100 104 108 110 109 103 101 99 98 99 100 58 60 65 59 57 56 54 54State and Local Highwaygh 532 577 607 604 559 549 569 564 525 541 544 543 N 548 530 543 546 552 545 546 543 546 (R) 545 523

KEY N = data do not exist R = revised U = data are not available

a Annual averagesb Excludes farm employmentc Includes tire manufacturing and tire retreadingd Does not include motor vehicle wholesalerse Not all government agencies are included (eg the National Transportation Safety Board)f The US Department of Transportation was created in 1966 Data are for fiscal year and include permanent civilians as well as temporary employees and military The United States Coast Guard (USCG) and the Transportation Security Administration (TSA) were transferred to the Department of Homeland Security in 2003g Full-time equivalent employment Data prior to 1986 are not directly comparable to data from later years due to a change in the way full-time equivalent was calculated Full-time equivalent was not calculated for 1985h Due to a change in the reference period from October to March the October 1996 Annual Survey of Government Employment and Payroll was not conducted

SOURCES

All data except as noted

US Department of Labor Bureau of Labor Statistics Data National Employment Hours and Earnings available at httpwwwblsgovdatasahtm as of November 2008

Government employmentUSDOT

1970-75 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1976 ( Washington DC 1976) table 409 and US Department of Transportation US Coast Guard G-WPM Office of Military Personnel personal communication

1980-85 US Department of Transportation Office of the Secretary of Transportation DOT Employment Facts A Report to Management (Washington DC Annual issues)

1990-2003 Ibid DOT Workforce Demographics (Washington DC Annual issues)2004-07 Ibid DOT Workforce Demographics Demographics by Year available at httpdothrostdotgovworkforceinfodemographicshtm as of November 2007

State and local highway

1960-91 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1993 (Washington DC 1993) table 500 and similar tables in earlier editions

1992-2007 Ibid available at httpwwwcensusgovpubgovswwwapesstlhtml as of November 2008

1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 200Total workers 16 years and over 107150 118793 117718 118492 120259 123060 124900 126708 129558 131463 133488 135208 1350Total workers in transportation occupatio 3681 4039 4101 4098 4250 4287 4308 4451 4534 4499 4643 4684 48

Transportation occupation as percent of total workers 16 years and over 34 34 35 35 35 35 34 35 35 34 35 35 36Motor vehicle operators total 3298 3618 3704 3726 3850 3879 3900 4024 4090 4069 4202 4222 43Supervisors 51 76 80 87 84 94 87 85 95 88 86 77Truck drivers 2412 2627 2684 2712 2804 2815 2860 3018 3075 3012 3116 3088 31Drivers-sales workers 214 201 215 184 178 164 158 156 150 159 160 167 1Bus drivers 394 443 469 477 506 511 526 512 472 471 490 539 5Taxicab drivers and chauffeurs 180 213 197 217 230 238 211 203 248 273 271 280 3Parking lot attendants 45 53 53 44 41 49 50 46 46 62 68 60Motor transportation occupations NEC 2 5 6 5 7 8 8 4 4 3 11 11Rail transportation total 148 118 115 108 108 108 104 116 121 104 106 127 1Railroad conductors and yardmasters 36 36 38 39 38 38 33 45 48 50 45 48Locomotive operating occupations 59 46 44 44 45 47 51 49 53 41 45 63Railroad brake signal and switch operators 46 28 27 20 21 19 17 15 14 7 9 11Rail vehicle operators NEC 7 8 6 5 4 4 3 7 6 6 7 5Water transportation total 59 53 61 54 61 68 66 70 52 63 57 56Ship captains and mates except fishing boa 32 27 32 26 26 30 33 32 24 22 31 38Sailors and deckhands 18 18 18 16 24 27 26 25 21 30 16 14Marine engineers 1 2 4 5 3 6 3 8 2 3 5 2Bridge lock and lighthouse tenders 8 6 7 7 8 5 4 5 5 8 5 3Air transportation total 111 150 134 119 126 128 144 146 156 139 167 152 1Airplane pilots and navigators 77 114 100 96 101 104 114 114 120 113 143 129 1Air traffic controllers 34 36 34 23 25 24 30 32 36 26 24 23Public transportation attendants 65 100 86 91 105 104 94 95 115 124 111 127 1

NOTES

SOURCESAll data except total workers 16 years and over

2000 Ibid personal communication Aug 6 20012001 Ibid personal communication Aug 23 2002

2001 Ibid personal communication Aug 23 2002

Table 3-20a Employment in Transportation Occupations (Thousands)

1985 1990-2000 US Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC January 2001) revised totals table 1 Internet site httpstatsblsgovpdfcpsaat1pdf as of Aug 3 2001

1985 1990-99 US Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC Annual January issues) table 11 of the Household Data Annual Averages Tables Internet site httpstatsblsgovpdfcpsaatabhtm as of May 31 2000

Total workers 16 years and over

KEY NEC = not elsewhere classified

Beginning in January 2000 data are not comparable with data for earlier years due to new composite estimation procedures and revised controls used in the household survey for population See source for additional information

The employment totals in tables 3-19 and 3-20 differ Table 3-19 shows employment in transportation and related industries table 3-20 shows employment by transportation occupation Some employees of transportation industries have nontransportation jobs (eg a bookkeeper in a trucking firm) and some people in transportation occupations do not work in the transportation industry (eg a truck driver for a construction firm)

SOC code Occupation 1999 2000 2001 2002 2003 2004 2005 2006 2007

53-2011 Airline pilots copilots and flight engineers 88040 94820 88800 78810 76940 78490 76240 75810 7825053-2012 Commercial pilots 18780 18040 18380 19570 19940 21370 24860 27120 2918053-2021 Air traffic controllers 22620 23350 22990 23410 22610 22260 21590 23240 2418053-2022 Airfield operations specialists 4510 4580 5390 5910 4670 4810 4510 4760 621053-3011 Ambulance drivers and attendants except emergency medical technicians 13520 15700 17620 17280 18420 17410 18320 21100 21520

53-3021 Bus drivers transit and intercity 160210 175470 190530 197090 187900 183710 183450 191120 18905053-3022 Bus drivers school 463860 457050 469100 468790 471130 475430 465880 456570 46159053-3031 Driversales workers 385210 373660 378220 368730 397630 406910 400530 396680 38236053-3032 Truck drivers heavy and tractor-trailer 1558400 1577070 1548480 1520880 1520740 1553370 1624740 1673950 169359053-3033 Truck drivers light or delivery services 1085050 1033220 996000 977920 951400 938730 938280 941590 92290053-3041 Taxi drivers and chauffeurs 119630 130200 125860 125720 131880 132650 144280 154490 16559053-4011 Locomotive engineers 19940 29390 30730 28250 30070 31180 37390 36870 4176053-4012 Locomotive firers 890 1040 730 710 630 620 540 560 58053-4013 Rail yard engineers dinkey operators and hostlers 5070 4020 4840 4600 6020 6170 6970 5820 495053-4021 Railroad brake signal and switch operators 14500 16830 17070 15030 15310 16410 20700 22810 2312053-4031 Railroad conductors and yardmasters 36680 40380 40910 38070 35120 35720 38330 37110 3754053-4041 Subway and street car operators U 3190 U 7250 8720 8900 7430 6740 660053-5011 Sailors and marine oilers 27200 30090 28650 25360 27170 27570 31090 31690 3252053-5021 Captains mates and pilots of water vessels 20660 21080 22180 22530 24050 25200 28570 29170 3054053-5022 Motorboat operators 4000 3540 3410 3600 3130 2830 2700 2450 325053-5031 Ship engineers 6800 7370 7470 8020 10230 10330 13240 14190 1371053-6011 Bridge and lock tenders 6970 4790 4500 3900 3490 3500 3620 3700 475053-7071 Gas compressor and gas pumping station operators 6940 6510 6070 6920 5250 4680 3950 3900 423053-7072 Pump operators except wellhead pumpers 13480 13730 12920 12360 10540 9810 9970 10030 10400

17-2011 Aerospace engineers 71790 71550 74380 74210 71750 73650 81100 86720 8551017-2121 Marine engineers and naval architects 4450 4680 4860 4810 6060 6620 6550 7810 662017-3021 Aerospace engineering and operations technicians 17270 19850 15570 14700 10650 9260 9950 8280 787049-2091 Avionics technicians 15560 15360 16340 21710 21020 22310 22490 15360 1630049-2093 Electrical and electronics installers and repairers transportation equipment 14700 15930 16650 17320 17130 17390 20560 20480 18160

49-2096 Electronic equipment installers and repairers motor vehicles 14250 12480 13210 15200 15070 15490 17650 19510 19310

49-3011 Aircraft mechanics and service technicians 125970 135730 135250 125850 113470 112830 115120 118210 11878049-3021 Automotive body and related repairers 179960 168170 168630 175370 168630 162820 158160 155500 15279049-3022 Automotive glass installers and repairers 20520 21240 21550 19710 18040 18150 17760 18650 1834049-3023 Automotive service technicians and mechanics 587320 692570 701150 687380 689630 668540 654800 642360 65078049-3031 Bus and truck mechanics and diesel engine specialists 273320 258800 254420 254470 249230 251430 248280 254850 250370

49-3043 Rail car repairers 7230 10620 11860 13520 16790 18140 24270 23810 2319049-3051 Motorboat mechanics 18450 19040 18370 18550 17990 17680 18190 18550 1961049-3052 Motorcycle mechanics 11390 11720 13290 13030 15000 15920 16140 16700 1680049-3091 Bicycle repairers 8080 7940 7730 7000 7560 7750 7980 8350 913049-3092 Recreational vehicle service technicians 13100 12200 11830 12490 12520 12340 13540 13560 1403049-3093 Tire repairers and changers 99880 88530 86200 81560 85030 87110 100860 103120 10051051-2011 Aircraft structure surfaces rigging and systems assemblers 18070 32680 33620 25690 19830 18710 22820 27680 3441051-9122 Painters transportation equipment 45920 43270 44090 45670 47390 49810 52650 52170 5126051-9197 Tire builders 16680 15790 13410 13020 16400 17960 19860 23210 20530

Transportation equipment manufacturing and maintenance occupations

Vehicle operators pipeline operators and primary support

Table 3-20b Employment in Transportation and Transportation-Related Occupations

SOC code Occupation 1999 2000 2001 2002 2003 2004 2005 2006 2007Table 3-20b Employment in Transportation and Transportation-Related Occupations

53-6031 Service station attendants 109050 106010 107650 102550 96450 90640 96340 94780 9314053-7061 Cleaners of vehicles and equipment 302380 301330 304500 311070 321630 330520 333350 334560 336210

47-2071 Paving surfacing and tamping equipment operators 58410 56330 57880 58760 60210 61860 63220 63090 63850

47-4051 Highway maintenance workers 139540 145790 148390 146290 139810 136550 140600 138670 13714047-4061 Rail-track laying and maintenance equipment operators 8620 9940 11680 10450 12120 10430 13510 13680 14050

49-9097 Signal and track switch repairers 3720 5540 8550 7990 7600 7780 6100 5980 609053-7031 Dredge operators 1910 3100 2920 2850 2190 1730 1720 1780 1910

13-1032 Insurance appraisers auto damage 19310 12320 12110 13270 11260 12520 12900 12630 1215033-3041 Parking enforcement workers 7660 8040 9160 10180 9690 9990 10140 10090 991033-3052 Transit and railroad police 4590 5760 6750 6010 4790 4610 5090 5320 553033-9091 Crossing guards 68310 72830 69990 73020 68910 70180 69390 67750 6757039-6022 Travel guides 4180 5200 5480 4960 5240 4140 3120 3220 352039-6031 Flight attendants 123310 126380 115750 104360 99910 101980 99590 96760 9701039-6032 Transportation attendants except flight attendants and baggage porters 22780 23550 25910 26580 28440 27730 24810 20790 20690

41-3041 Travel agents 111130 124030 111310 104550 98410 90500 88590 87600 8558043-4181 Reservation and transportation ticket agents and travel clerks 222340 199700 183280 174170 156140 159910 160120 157650 16739043-5021 Couriers and messengers 134370 130210 121670 120900 117460 111700 106520 105070 10082043-5032 Dispatchers except police fire and ambulance 171560 167180 170050 168380 161570 165910 172550 185410 19019043-5052 Postal service mail carriers 352550 354980 355120 347420 344090 344050 347180 346990 34807043-5071 Shipping receiving and traffic clerks 886230 864530 802600 792470 757750 747270 759910 763350 75579053-6021 Parking lot attendants 109340 116930 109930 108460 109890 120080 124250 131870 13186053-6041 Traffic technicians 5000 4590 5090 5370 5980 6240 6990 6560 655053-6051 Transportation inspectors 22440 26520 27670 28340 23860 24140 25570 23790 2413053-7081 Refuse and recyclable material collectors 135320 118910 125600 132290 137510 139920 133930 125770 12627053-7121 Tank car truck and ship loaders 20830 17480 19430 16960 15910 16530 15950 15360 14870

11-3071 Transportation storage and distribution managers 123450 116680 108590 107400 90940 88100 84870 89010 9279053-1011 Aircraft cargo handling supervisors 8090 9960 9070 8920 8580 7460 6210 5620 469053-1021 First-line supervisorsmanagers of helpers laborers and material movers

hand138210 146790 147490 147180 159780 169860 176030 178820 184400

53-1031 First-line supervisorsmanagers of transportation and material-moving machine and vehicle operators

175260 186710 197430 207280 211960 222590 221520 220570 223710

Transportation Infrastructure construction and maintenance occupations

A broad definition of transportation and transportation-related occupations is used in this table based on Sen B and M Rossetti A Complete Count of the US Transportation Workforce Transportation Research Record 1719 2000 pp 259-266 Some occupational categories may include workers not engaged in transportation or transportation-related activities For example the category first-line supervisorsmanagers (53-1021 and 53-1031) may include workers in material moving occupations along with transportation occupations Moreover some workers engaged in transportation and transportation-related activities may be excluded For example baggage porters and bellhops is not included in this table because it is believed that a large share of workers in this category work in hotels or similar establishments

US Department of Labor Bureau of Labor Statistics Occupational Employment Statistics Occupational Employment and Wages May 2007 (Washington DC May 2007) available at httpwwwblsgovoescurrentoes_nathtm as of December 2008

SOURCE

Secondary Support Service Occupations

Other

KEY SOC = Standard Occupational Classification

Occupational Employment Statistics (OES) uses a mail survey to measure employment levels and wage rates for all full- and part-time wage and salary workers in nonfarm establishments The survey does not include self-employed owners and partners in unincorporated firms household workers or unpaid family workers In 1999 OES began using the Standard Occupational Classification (SOC) system to organize occupational data Consequently estimates from 1999 and subsequent years are not directly comparable to previous occupational estimates The SOC is being adopted by all federal agencies and consists of 821 detailed occupations grouped into 449 board occupations 96 minor groups and 23 major groups

NOTES

Table 3-21a Average Wagea and Salary Accruals per Full-Time Equivalent Employee by Transportation Industry (Standard Industrial Classification [SIC] basis)b (Current $)

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

All industries 4822 5808 7744 10810 15793 21297 26262 27326 28672 29444 30177 31034 32087 33490 35201 36754 38846

Transportation total 5835 6989 9396 13550 20818 25246 29000 30018 31575 31392 31946 32283 33074 34407 35907 37178 38484

Air 6929 8495 12027 17035 25649 32131 32867 34487 36058 35852 36257 36419 36989 38691 40441 42523 43820

Trucking and warehousing 5396 6623 8672 12765 19204 22383 26297 26921 28336 28293 29112 29605 30342 31754 32949 34007 35024

Local and interurban passenger transit 4877 5553 6996 9462 13530 14878 17554 18064 18950 18955 19504 19980 20648 21219 22008 22792 23745

Railroad 6241 7460 10110 14987 25049 36608 43602 45893 50267 50440 51719 50465 55299 57235 60632 60623 62673

Water 6212 7402 10302 14136 22746 28531 33855 34703 36311 36833 37357 37769 38857 40329 42317 43436 44980

Pipelines except natural gas 6957 8053 10765 16765 26227 37316 46167 47000 51526 50421 54647 58186 54782 58881 64991 65379 66540

Transportation servicesc5380 6239 8232 11430 16005 20530 26057 27169 28534 28792 29588 30801 31511 32794 34603 36204 38602

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement b The data in this table have been revised as a result of the Bureau of Economic Analysis comprehensive revision of c Establishments furnishing services incidental to transportation such as forwarding and packing services and the

NOTES

Use care in comparing the data in this table with those in table 3-22 This table includes weighted part-time employees salaries Table 3-22 covers only full-time employees 1960-85 data are based on the 1972 SIC codes 1990-2000 data are based on the 1987 SIC codes

The Bureau of Economic Analysis provides these data on a SIC basis ending in 2000 and on a North American Industry Classification System (NAICS) basis beginning in 1998 (see table 3-21b for data based on NAICS)

Wage and salary accruals consist of the monetary remuneration of employees including compensation of corporate officers commissions tips and bonuses voluntary employee contributions to certain deferred compensation plans such as 401(k) plans and receipts in kind that represent income In other words accruals are wage and salary earned not wage and salary paid For example wage and salary earned in 1999 but not paid until 2000 are included in accruals for 1999 However the difference between wage and salary earned and wage and salary paid is usually very small

SOURCE

1960-2000 US Department of Commerce Bureau of Economic Analysis National Income and Products Accounts tables 66b and 66c Internet site httpwwwbeadocgovbeadn1htm available as of Feb 17 2004

Table 3-21b Average Wagea and Salary Accruals per Full-Time Equivalent Employee by Transportation Industry (North American Industry Classification System [NAICS] basis) (Current $)

1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007All industries 35201 36754 38846 39667 40394 41783 43450 44999 46982 49053Transportation and warehousing 36297 37612 39463 39426 40116 40854 42526 43097 44641 46559

Air 46790 48466 50969 55336 57370 56771 58134 56073 58539 64124Rail 60530 60538 62728 63517 64404 67174 71007 71950 74105 75586Water 47422 51803 51361 54850 56386 57398 60869 62334 65861 72097Truck 34533 35341 36736 36204 36954 37793 39531 40918 42440 43545Transit and ground passenger transportation 21988 22880 23795 23121 23512 24129 24868 25713 26828 27882Pipeline 71496 77984 96703 99717 81404 83188 88573 88452 97236 105186Other transportation and support activitiesb 33444 35299 36806 35846 37226 38545 40794 41707 43394 45058Warehousing and storage 30120 31663 34269 33842 34763 36115 (R) 37467 37897 38701 40308

KEY R = revised

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement plans and health life and unemployment insurance compensationb Comprises business establishments involved in scenic and sightseeing transportation support activities for transportation postal service and couriers and messengers

NOTES

Data in this table are based on the 1997 NAICS codes The Bureau of Economic Analysis provides these data on a Standard Industrial Classification (SIC) basis ending in 2000 and on a NAICS basis beginning in 1998 (see table 3-21a for data based on SIC)

Use care in comparing the data in this table with those in table 3-22 This table includes weighted part-time employees salaries Table 3-22 covers only full-time employees

Wage and salary accruals consist of the monetary remuneration of employees including compensation of corporate officers commissions tips and bonuses voluntary employee contributions to certain deferred compensation plans such as 401(k) plans and receipts in kind that represent income In other words accruals are wage and salary earned not wage and salary paid For example wage and salary earned in 1999 but not paid until 2000 are included in accruals for 1999 However the difference between wage and salary earned and wage and salary paid is usually very small

SOURCE

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts table 66d available at httpwwwbeagov as of December 2008

Table 3-22a Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by Detailed Occupation (Current $)1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002

All occupationsa

343 412 426 440 459 467 479 490 503 523 549 576 597 609

Airplane pilots and navigators 738 910 931 884 1076 1013 956 1138 1079 1383 1048 1283 1150 1245

Public transportation attendants N 635 N N 733 452 450 417 521 524 604 568 552 611

Motor vehicle operators 343 400 405 415 434 452 475 473 496 503 514 543 575 582

Supervisors motor vehicle operators N 520 500 494 583 512 549 583 589 595 585 688 609 688

Truck drivers N N N 417 442 467 481 481 506 516 527 564 593 600

Drivers-sales workers 399 439 458 484 478 461 517 506 524 526 534 558 630 600

Bus drivers 344 355 378 400 403 392 419 396 405 428 428 460 457 493

Taxicab drivers and chauffeurs 262 307 342 312 312 374 352 374 405 379 427 468 487 476

Nonmotor vehicle operators 559 687 716 700 714 631 711 691 761 834 761 816 911 884

Rail transportation operators 599 717 774 717 722 701 741 740 814 849 816 863 947 866

Water transportation 463 547 576 610 667 582 624 586 641 812 604 778 794 934

a Earnings for all full-time workers 16 years and older workers not just transportation related

NOTES

Use care in comparing the figures in this table with those in table 3-21 This table does not include part-time employees

Table 3-21 includes weighted part-time employees salaries

SOURCES

Water transportation

1985ndash2000 US Department of Labor Bureau of Labor Statistics unpublished data Mar 1 1999 Mar 11 1999 and Apr 25 2000

2001-02 Ibid personal communication Aug 23 2002 and Nov 20 2003

Other Data

1985-2002 US Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC Annual January issues) table 39 of the Household Data Annual Averages Tables available at httpwwwblsgov

2001 Ibid personal communication Aug 23 2002

Table 3-22b Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by Detailed Occupation (1998 Standard Occupational Classification [SOC] basis) (Current $)

2000 2001 2002 2003 2004 2005 2006 2007 2008TOTAL all occupations a 576 596 608 620 638 651 671 695 722Transportation and material moving occupations 481 504 514 520 520 543 556 570 593

Supervisors transportation and material moving workers 671 648 709 705 655 734 767 811 761Aircraft pilots and flight engineers 1193 1040 1233 1350 1418 1366 1407 1358 1390Air traffic controllers and airfield operations specialists 1090 1123 1041 1583 1239 1444 1259 1225 1116Ambulance drivers and attendants except emergency medical technicians 580 521 456 322 399 939 452 693 432Bus drivers 462 467 499 501 500 517 519 507 561Driversales workers and truck drivers 551 585 599 603 610 624 642 665 702Taxi drivers and chauffeurs 451 484 488 481 486 483 538 501 503Motor vehicle operators all other 509 508 409 353 380 394 417 484 511Locomotive engineers and operators 870 953 963 925 1056 998 1129 1157 1223Railroad brake signal and switch operators 689 753 792 880 820 698 999 706 1027Railroad conductors and yardmasters 817 927 818 884 881 1017 904 912 1067Subway streetcar and other rail transportation workers 754 727 579 515 686 497 696 973 700Sailors and marine oilers 508 697 701 616 424 628 812 549 666Ship and boat captains and operators 779 848 899 944 848 798 829 1158 1154Ship engineers 712 1190 1181 1154 980 1288 452 997 1158Bridge and lock tenders 935 560 667 726 599 637 627 892 512Parking lot attendants 316 329 341 350 378 360 397 410 436Service station attendants 314 335 362 369 319 323 364 404 373Transportation inspectors 731 696 747 847 810 893 771 839 910Other transportation workers 483 491 645 652 606 735 749 600 631Conveyor operators and tenders 465 488 350 363 521 501 847 563 549Crane and tower operators 675 688 694 589 732 727 790 715 925Dredge excavating and loading machine operators 572 617 602 653 607 616 623 726 708Hoist and winch operators 733 610 604 789 709 516 625 446 406Industrial truck and tractor operators 448 477 499 488 486 499 513 519 534Cleaners of vehicles and equipment 361 363 354 373 384 385 379 405 428Laborers and freight stock and material movers hand 401 426 420 464 443 456 474 474 501Machine feeders and offbearers 412 403 433 437 422 449 451 511 439Packers and packagers hand 313 332 338 348 349 372 391 374 388Pumping station operators 730 622 786 801 747 910 888 942 919Refuse and recyclable material collectors 435 505 430 456 508 491 393 517 475Shuttle car operators 992 696 1030 741 736 772 436 364 643Tank car truck and ship loaders 420 703 506 589 504 462 407 607 683Material moving workers all other 491 463 516 515 591 598 553 665 517

a Earnings for all full-time workers not just transportation related

NOTESThe 1998 Standard Occupational Classification (SOC) System was developed by the Federal Government in response to a growing need for a universal occupational classification system The SOC is being adopted by all Federal agencies and consists of 821 detailed occupations grouped into 449 broad occupations 96 minor groups and 23 major groupsThis table does not include part-time employees while table 3-21 includes salaries of part-time employees

SOURCE

US Department of Commerce Bureau of the Census Current Population Survey table A-26 personal communications Oct 4 2004 Nov 20 2005 Oct 27 2006 Dec 20 2007 and Mar 04 2009

Table 3-23a Total Wagea and Salary Accruals by Transportation Industry (Standard Industrial Classification [SIC] basis)b (Current $ millions)

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

All industries 272855 363757 551560 814838 1377641 1995472 2754015 2822984 2964529 3089159 3249764 3435670 3623205 3874685 4182719 4471400 4829240

Transportation total 14629 17276 24505 34512 59247 72556 95323 97978 102840 106514 113248 118964 125351 133638 144919 154811 163555

Air 1268 1852 4029 5894 11029 15744 29515 30659 31983 33020 34553 36237 38616 41090 45132 49284 52890

Trucking and warehousing 4592 6265 9123 13786 23755 29725 34475 34890 36780 38790 42155 44556 46787 50362 54365 58323 61326

Local and interurban passenger transit 1307 1427 1868 2375 3423 4047 5635 5943 6329 6748 7373 7892 8569 9188 9903 10575 10899

Railroad 5498 5446 6268 8108 12850 11861 10726 10877 11511 11147 11171 11203 11502 11733 12611 12610 12409

Water 1379 1584 2112 2601 4572 5050 5620 5969 5955 6004 6239 6345 6450 6896 7321 7601 8141

Pipeline except natural gas 160 153 183 285 577 709 831 893 979 958 929 873 822 824 845 850 865

Transportation servicesc

425 549 922 1463 3041 5420 8521 8748 9302 9847 10829 11858 12604 13544 14741 15568 17024

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement plans and health life and unemployment insurance compensation

b The data in this table have been revised as a result of the Bureau of Economic Analysis comprehensive revision of the National Income and Product Accounts (NIPA)

c Establishments furnishing services incidental to transportation such as forwarding and packing services and the arrangement of passenger and freight transportation

NOTE

The Bureau of Economic Analysis provides these data on a SIC basis ending in 2000 and on a North American Industry Classification System (NAICS) basis beginning in 1998 (see table 3-23b for data based on NAICS)

SOURCE1960-2000 US Department of Commerce Bureau of Economic Analysis National Income and Products Accounts tables 63b and 63c Internet site httpwwwbeadocgovbeadn1htm as of Feb 17 2004

1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006All industries 4182719 4471400 4829240 4942776 4980897 5127686 5379508 5676657 6028499Transportation and warehousing total 142175 151999 162753 165113 162152 163580 172527 180103 190097

Air 25512 27447 30046 32311 30551 28385 28258 26669 26774Rail 12611 12610 12409 12104 11841 12099 12762 13545 14199Water 2396 2652 2710 2789 2888 2984 3248 3617 3934Truck 43059 45818 48594 48541 47879 48497 51779 55348 58669Transit and ground passenger transportation 7672 8249 8497 8806 8987 9244 9666 10209 10824Pipeline 3178 3473 4282 4238 3272 3188 3171 3169 3573Other transportation and support activitiesb 34105 37040 39974 39881 39750 40940 43739 45951 48873Warehousing and storage 13641 14709 16240 16442 16984 18244 19903 21594 23252

Table 3-23b Total Wagea and Salary Accruals by Transportation Industry (North American Industry Classification System [NAICS(Current $ millions)

SOURCE

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts table 63d available at httpwwwbeagov as of December 2008

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement plans and health life and unemployment insurance compensationb Comprises business establishments involved in scenic and sightseeing transportation support activities for transportation postal service and couriers and messengers

KEY R = revised

Table 3-24a Labor Productivity Indices for Selected Transportation Industries (SIC)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

Output per hour a worked

Airb

N N N N N N 93 93 97 100 106 109 111 112 108 109 111

Bus Class I c

106 128 118 107 111 96 96 104 105 109 99 110 106 125 105 135 112

Railroad 22 32 36 43 55 82 119 128 140 145 150 156 167 170 173 183 196

Trucking except localb

N N N N N N 111 117 123 127 130 125 131 132 130 132 131

Petroleum pipelinesc

31 49 76 91 89 100 103 99 100 104 108 116 131 134 137 145 141

Output per employeed

Air 22 35 45 56 71 92 93 93 97 100 106 109 111 112 108 109 111

Bus Class I c

108 129 119 103 99 93 96 102 103 107 96 105 103 121 104 133 110

Railroad 25 36 42 46 55 79 120 125 134 142 153 162 172 177 176 182 195

Trucking except local 48 56 60 64 78 94 111 117 123 127 130 125 131 132 130 132 131

Petroleum pipelinesc

30 48 75 89 89 98 102 98 99 104 112 121 139 141 146 150 141

KEY N = data do not exist

a Based on the number of paid hoursb The average weekly hours were assumed to be constant for these industries therefore the output per hour worked and the output per employee measures are identical in the years for which data are given for both measuresc Data did not meet the publication standards for the Bureau of Labor Statistics and are considered less reliable than the published seriesd Full-time and part-time employees are counted equally Hence these data do not reflect output per full-time equivalent employee

NOTEIndex 1987 = 100

SOURCES

US Department of Labor Bureau of Labor Statistics Industry Productivity Internet site httpwwwblsgovlpciprdata1htm as of Aug 12 2002Ibid personal communication Aug 19 2002 (unpublished data)

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Output per hour a workedAir transportationb 81 82 79 78 78 81 85 91 95 99 100 98 98 98 92 102 (R) 113 (R) 127 (R) 136Line-haul railroads 59 64 68 70 75 82 86 89 92 98 100 102 105 114 122 132 142 (R) 146 (R) 138General freight trucking long-distance 86 86 85 89 93 98 96 98 96 95 100 99 99 102 103 107 111 111 (R) 113Postal Service 91 90 90 94 94 95 98 98 98 97 100 102 103 105 106 106 108 110 111Output per employeec

Air transportationb 81 82 79 78 78 81 85 91 95 99 100 98 98 98 92 102 (R) 113 (R) 127 (R) 136Line-haul railroads 57 62 64 68 70 76 80 86 91 97 100 99 102 110 113 119 (R) 128 (R) 133 (R) 131General freight trucking long-distance 83 84 83 86 89 95 95 98 95 96 100 99 100 103 103 108 112 115 (R) 117Postal Service 87 87 87 91 92 95 98 98 96 96 100 101 102 106 105 105 107 111 (R) 114KEY R = revised

a Based on the number of paid hours

Table 3-24b Labor Productivity Indices for Selected Transportation Industries (North American Industry Classification System [NAICS] basis) (Index 1997 = 100)

b The average weekly hours were assumed to be constant for air transportation industries therefore the output per hour worked and the output per employee measures are identical c Full-time and part-time employees are counted equally Hence these data do not reflect output per full-time equivalent employee

SOURCE

US Department of Labor Bureau of Labor Statistics Industry Productivity available at httpwwwblsgovlpc as of September 2008

NOTESBLS developed labor productivity indexes for all manufacturing and retail trade of the North American Industry Classification System (NAICS) industries as well as selected mining transportation communications and services industries Indexes for petroleum pipelines and bus (class I) systems were created under the Standard Industrial Classification (SIC) system but have not yet been developed under NAICS Productivity measures for NAICS start in 1987

Section DGovernment Finance

Table 3-25a Federal State and Local Government Transportation-Related Revenues and Expenditures Fiscal Year (Current $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

Total government revenues 94548 97591 101257 112733 129743 128073 125480 131412 132774 136328 146856 150492Federal 30478 31188 31960 39442 52567 47147 43197 45914 46434 46284 51284 52244State and local 64070 66403 69297 73291 77176 80926 82284 85497 86340 90044 95572 98248Total government expenditures 143256 149133 155954 163544 182318 186374 211180 223808 238092 237636 243086 199397State and local expenditures including federal grants 123369 129158 135988 142364 161352 165290 180864 188012 195423 198377 208045 163562Federal grants 24793 24760 25913 25014 27824 35277 38668 42593 42547 42779 50032 45334Federal expenditures less grants 19886 19976 19965 21180 20966 21084 30316 35796 42669 39260 35041 35836

KEY R = revised

NOTESNumbers may not add to totals due to roundingTotal government expenditure is the sum of state and local expenditure including federal grants and federal expenditures less grants Local government receipts from motor fuel motor vehicle and toll highway charges are not included in 2006

Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for nontransportation purposes 2) nontransportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing

SOURCE US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

1980 1985 1990 1991 1992 1993 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 2003Total government revenues 66341 80106 90941 97367 99153 102114 102194 114185 114085 111788 122063 136465 128597 122609 127553 123950Federal 19952 27996 28414 32839 32169 32693 31497 35667 35339 35145 42527 54938 47146 41940 43172 42631State and local 46389 52110 62527 64528 66985 69421 70697 78518 78746 76643 79535 81527 81451 80669 84381 81319Total government expenditures 95431 118603 131270 136269 141489 139654 146867 173577 173908 177008 180158 194479 195398 214290 221107 227529State and local expenditures less federal grantsa 47715 75555 90180 94531 97551 95061 100866 121311 123215 126575 130351 143494 139101 147322 147154 149175Federal grantsb 28286 27648 26172 25906 26552 27516 26956 23081 23157 22962 23136 25124 26191 28512 30524 31139Federal expenditures less grants 19429 15400 14919 15832 17386 17078 19044 29185 27536 27471 26671 25861 30106 38456 43430 47214

NOTE

SOURCES

Table 3-25b Federal State and Local Government Transportation-Related Revenues and Expenditures Fiscal Year (Chained 2000 $ millions)

b Federal grants to state and local governments for research and special programs and emergency preparedness are included starting from 1985

1980 US Department of Transportation Bureau of Transportation Statistics unpublished data

KEY R = revised U = data are not availablea Figures for state and local expenditures less federal grants were determined by subtracting federal grants from state and local expenditures including grants State and local expenditures including grants were obtained from the US Department of Commerce Census Bureau which uses different definitions and accounting methods than those used by some modal administrations of the US Department of Transportation For example highway expenditures in this table do not include traffic control activities by police or public safety activities while the highway expenditure statistics published by the US Department of Transportation Federal Highway Administration do include these items

1985ndash1994 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2003 (Washington DC forthcoming) 3-b 13-b and 14-b1995-2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics2007Constant dollar deflator US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Washington DC table 394

Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

All numbers were converted to chained dollars using the Government consumption expenditures and gross investment price index

Table 3-26 Summary of Transportation Revenues and Expenditures from Own Funds and User Coverage Fiscal Year (Current and chained 2000 $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

Federal revenuesCurrent 30478 31188 31960 39442 52567 47147 43197 45914 46434 46284 51284 52244Chained 34494 34465 34686 42198 54712 47147 42125 43518 42270 40334 42219 41060Federal expendituresCurrent 44679 44736 45878 46193 48790 56361 68984 78390 85216 82038 85072 81170Chained 50566 49437 49793 49421 50781 56361 67273 74298 77576 71491 70036 63793Federal user coverage (percent) 68 70 70 85 108 84 63 59 54 56 60 64State and local revenuesCurrent 64070 66403 69297 73291 77176 80926 82284 85497 86340 90044 95572 98248Chained 72512 73381 75210 78412 80326 80926 80242 81035 78599 78467 78679 77215State and local expendituresCurrent 103663 108735 115095 120890 137298 139101 150706 152839 158841 161292 168699 123235Chained 117321 120161 124914 129337 142901 139101 146968 144862 144600 140554 138881 96853State and local user coverage (percent) 62 61 60 61 56 58 55 56 54 56 57 80KEY R = Revised

NOTESSate and local expenditure includes outlays from all sources of funds including federal grantsFederal expenditure includes direct federal spending and grants to state and local governmentsLocal government receipts from highway are not included in 2006

Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for nontransportation purposes 2) nontransportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing The big jump of federal user coverage (percent) in 1999 is due to the fact that taxpayer Relief Act of 1997 allowed taxpayers to delay depositing highway motor fuel tax receipts that would have been required to be made in August and September of 1998 until October 5 1998 October 5 1998 is in fiscal year 1999

SOURCEU S Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

Table 3-27a Transportation Revenues by Mode and Level of Government Fiscal Year (Current $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

TOTAL all modes 94548 97591 101257 112733 129743 128073 125480 131412 132774 136328 146856 150492Federal 30478 31188 31960 39442 52567 47147 43197 45914 46434 46284 51284 52244State and local 64070 66403 69297 73291 77176 80926 82284 85497 86340 90044 95572 98248Highway total 67544 72729 74116 79921 92577 90980 86994 91412 92310 96189 103564 102688Federal 22200 25981 25316 28638 39308 34985 31486 33297 34421 35107 38747 39191State and local 45344 46748 48801 51283 53269 55995 55509 58114 57889 61082 64817 63497Air total 14518 11899 13879 19034 22054 22298 23248 24532 24212 23130 25645 27072Federal 6291 3128 4488 8682 11089 10544 10103 11282 10597 9652 10797 11137State and local 8227 8771 9391 10352 10965 11754 13145 13250 13615 13478 14848 15935Railroads Total 36 2 0 0 0 1 0 0 0 0 0 0Federal 36 2 0 0 0 1 0 0 0 0 0 0Transit total 8575 8753 9006 9417 10587 10670 10922 11448 11906 12377 12512 15117State and local 8575 8753 9006 9417 10587 10670 10922 11448 11906 12377 12512 15117Water total 3832 4168 4216 4323 4486 4058 4250 3937 4279 4569 5070 5536Federal 1909 2037 2117 2084 2131 1551 1543 1252 1349 1462 1676 1837State and local 1923 2131 2099 2239 2355 2507 2707 2685 2930 3107 3394 3699Pipeline total 35 31 30 29 30 40 44 57 57 55 56 58Federal Pipeline Safety Fund 35 31 30 29 30 40 44 57 57 55 56 58General support total 7 9 9 9 9 26 21 26 10 8 8 21Federal Emergency Preparedness Fund 7 9 9 9 9 26 21 26 10 8 8 21KEY R = Revised

NOTES Numbers may not add to totals due to rounding Local government receipts from highway are not included in 2006Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for non-transportation purposes 2) non-transportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

Table 3-27b Transportation Revenues by Mode and Level of Government Fiscal Year (Chained 2000 $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

TOTAL all modes 107005 107846 109896 120610 135038 128073 122367 124552 120870 118800 120899 118275Federal 34494 34465 34686 42198 54712 47147 42125 43518 42270 40334 42219 41060State and Local 72512 73381 75210 78412 80326 80926 80242 81035 78599 78467 78679 77215Highway total 76444 80371 80440 85506 96355 90980 84836 86640 84034 83822 85259 80705Federal 25125 28711 27476 30639 40912 34985 30705 31559 31335 30594 31898 30801State and Local 51319 51660 52964 54866 55443 55995 54132 55081 52699 53229 53361 49904Air total 16431 13150 15063 20364 22954 22298 22671 23252 22041 20156 21112 21277Federal 7120 3457 4871 9289 11542 10544 9852 10693 9647 8411 8889 8753State and Local 9312 9693 10192 11075 11413 11754 12819 12558 12394 11745 12224 12524Railroads total 41 2 0 0 0 1 0 0 0 0 0 0Federal 41 2 0 0 0 1 0 0 0 0 0 0Transit total 9705 9673 9775 10075 11019 10670 10651 10850 10839 10786 10301 11880State and Local 9705 9673 9775 10075 11019 10670 10651 10850 10839 10786 10301 11880Water total 4337 4606 4576 4625 4669 4058 4145 3732 3895 3981 4174 4351Federal 2161 2251 2298 2230 2218 1551 1505 1187 1228 1274 1380 1444State and Local 2177 2355 2278 2396 2451 2507 2640 2545 2667 2707 2794 2907Pipeline total 40 34 33 31 31 40 43 54 52 48 46 46Federal 40 34 33 31 31 40 43 54 52 48 46 46General support total 8 10 10 10 9 26 20 25 9 7 7 17Federal 8 10 10 10 9 26 20 25 9 7 7 17KEY R = Revised

NOTESNumbers may not add to totals due to rounding Local government receipts from highway are not included in 2006

Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for non-transportation purposes 2) non-transportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL all fundsCurrent $ 16441 20483 31795 35697 37475 36499 31916 32345 31139 31306 30637 44323 48175 45550 (R) 44250 (R) 38385 (R) 28885 (R) 26852 28876Chaineda 2000 $ 30847 29272 41216 44492 45368 43047 36659 36138 33853 33471 32416 45749 48175 44698 (R) 41891 (R) 34866 (R) 25063 (R) 22242 22986Airport Airway Trust FundCurrent $ 5442 7426 14355 15263 15204 12850 12386 11365 7692 6358 9411 12446 13934 14485 12642 12397 11669 11290 10336Chaineda 2000 $ 10210 10613 18609 19024 18406 15155 14227 12698 8363 6798 9958 12846 13934 14214 11968 11260 10125 9352 8228Highway Trust Fund highway accountCurrent $ 10999 10361 9629 10246 11300 11523 7927 9421 11658 12575 8519 19206 22553 20372 (R) 16136 (R) 12991 (R) 10791 (R) 10594 8865Chaineda 2000 $ 20636 14807 12482 12770 13680 13590 9105 10526 12674 13444 9014 19824 22553 19991 (R) 15276 (R) 11800 (R) 9363 (R) 8775 7057Highway Trust Fund transit accountCurrent $ N 2524 7155 9250 9798 10617 9945 9579 9525 9857 10051 9753 8547 7368 6096 4823 3776 1950 6204Chaineda 2000 $ N 3607 9275 11529 11862 12522 11423 10702 10355 10539 10635 10067 8547 7230 5771 4381 3276 1615 4939Harbor Maintenance Trust FundCurrent $ N N 30 74 121 305 451 621 865 1106 1246 1556 1621 1777 1850 2001 2299 2695 3234Chaineda 2000 $ N N 39 92 146 360 518 694 940 1182 1318 1606 1621 1744 1751 1818 1995 2232 2574Inland Waterway Trust FundCurrent $ N 172 281 217 186 180 214 238 275 300 327 345 364 404 392 383 350 323 237Chaineda 2000 $ N 246 364 270 225 212 246 266 299 321 346 356 364 396 371 348 304 268 189Oil Spill Liability Trust FundCurrent $ N N 345 647 866 1024 993 1121 1124 1110 1083 1017 1156 1144 1037 966 856 759 620Chaineda 2000 $ N N 447 806 1048 1208 1141 1252 1222 1187 1146 1050 1156 1123 982 877 743 629 494

Note

1980-94 US Department of Transportation Bureau of Transportation Statistics Transportation Receipts and Outlays in the Federal Budget Fiscal Years 1977-94 (Washington DC April 1997) table 1-3 1995-2004 US Executive Office of the President Office of Management and Budget Budget of the United States Government Appendix (Washington DC Annual issues)

2007 US Department of Commerce Bureau of Economic Analysis Interactive Access to National Income and Product Accounts Tables table 394 Price Indexes for Government Consumption Expenditures and Gross Investment Internet site httpwwwbeagovnationalnipaweb as of Dec 5 2007

Chained dollar deflator

2007 US Executive Office of the President Office of Management and Budget Budget of the United States Government Appendix (Washington DC Annual issues)

SOURCES

KEY N = data do not exist R = revised

Reported figures are cash balance at the end of the year for all trust funds

Table 3-28 Cash Balances of the Transportation-Related Federal Trust Funds Fiscal Year ($ millions)

Previous editions of NTS reported balance of total highway trust fund instead of the highway acount of the highway trust fund from 2002-2005

a Chained dollars calculated using a federal government price index see source for more information

Table 3-29a Transportation Expenditures by Mode and Level of Government from Own Funds Fiscal Year (Current $ millions)1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

TOTAL all modesa 56217 77213 100685 108338 114640 116517 125946 143254 149146 155920 163525 182296 186311 211080 223675 238061Federal 24661 28300 30924 33015 35331 37337 39733 19869 19976 19946 21178 20960 21020 30215 35662 42637State and locala 31556 48914 69760 75323 79309 79180 86213 123385 129171 135974 142347 161337 165291 180865 188013 195423Highways total 34553 46613 62629 66588 69018 70054 74591 90075 94746 98398 103988 112259 119847 127003 133538 138500Federal 11706 15039 15517 15921 16837 18144 20113 1685 1978 1581 1654 1576 2126 2393 2620 3166State and local 22847 31574 47112 50667 52182 51910 54478 88391 92768 96817 102334 110683 117720 124610 130918 135334Air total 5673 7903 12568 13978 15920 17412 17945 19250 19770 20694 21732 22066 22525 32839 37025 34185Federal 3762 4947 7305 8285 9317 10053 10150 10807 10921 10499 11193 9389 9285 17220 20675 17019State and local 1911 2955 5263 5692 6604 7359 7795 8443 8849 10195 10539 12677 13240 15619 16350 17166Transit totala 8915 16308 19251 20848 22313 21272 25087 25460 26113 27858 28990 39170 34828 38989 41604 41555Federal 3307 3427 3832 3917 3675 3517 3770 1277 1194 1750 2341 4309 3677 4409 4508 4560State and locala 5608 12881 15420 16930 18639 17755 21317 24183 24919 26108 26649 34861 31150 34580 37095 36995Water total 4475 5124 5480 5847 6167 6593 7046 6623 6727 7108 7098 7701 7634 10620 8038 11775Federal 3308 3642 3537 3833 4304 4462 4457 4314 4149 4299 4313 4630 4493 4626 4467 5900State and local 1167 1481 1943 2014 1863 2131 2589 2309 2578 2809 2785 3070 3141 5995 3571 5875Rail total 2419 1072 540 781 903 816 844 1065 1041 1150 1083 438 779 754 1325 1242Federal 2395 1057 534 779 900 811 833 1023 1001 1125 1064 414 765 722 1281 1220State and local 23 15 6 1 3 5 12 42 40 25 19 24 14 32 44 22Pipeline totalb RZ 8 26 28 32 34 38 24 34 33 36 38 46 37 48 65Federal RZ RZ 9 9 12 14 16 12 23 20 22 22 28 18 27 45State and local RZ 8 17 19 20 20 22 12 11 13 14 16 18 19 22 20General support totalc 183 187 191 270 286 337 394 757 716 678 598 625 653 838 2097 10740Federal general support 183 187 191 270 286 337 394 751 710 672 592 619 645 828 2085 10728State and local RZ RZ RZ RZ RZ RZ RZ 6 6 6 6 6 8 10 12 12

KEY R = revised RZ = no activity or a value of zero U = data are not availablea Data for 1980 1985 and 1990-2001 have been revised due to the Office of Management and Budget (OMB)s revision to the b Includes gas and liquid pipelinec General support represents administrative and operating expenditures of the US Department of Transportation the Interstate

NOTENumbers may not add to totals due to rounding Numbers for state and local expenditures from own funds were calculated by deducting federal grants from state and local Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

SOURCES1980 US Department of Transportation Bureau of Transportation Statistics unpublished data1985ndash2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003TOTAL all modesa 112303 118603 131270 136269 141489 139654 146867 167643 169008 171473 176322 190523 186311 205209 211379 219656Federal 47715 43048 41090 41738 43938 44593 46000 23252 22636 21935 22836 21905 21020 29375 33702 39341State and locala 64587 75555 90180 94531 97551 95061 100866 144391 146372 149537 153487 168618 165291 175834 177677 180315Highways total 69411 71647 81520 83715 85122 83992 87023 105411 107363 108213 112126 117325 119847 123470 126197 127792Federal 22649 22876 20618 20128 20938 21671 23286 1972 2241 1738 1783 1647 2126 2326 2476 2921State and local 46762 48771 60902 63587 64184 62321 63737 103439 105122 106475 110343 115678 117720 121144 123721 124871Air total 11190 12091 16510 17618 19709 20842 20871 22528 22402 22758 23433 23062 22525 31925 34990 31542Federal 7279 7526 9706 10474 11587 12007 11751 12647 12375 11546 12069 9813 9285 16741 19538 15703State and local 3911 4565 6804 7144 8122 8835 9120 9881 10027 11212 11364 13249 13240 15184 15452 15838Transit totala 17876 25109 25024 26200 27496 25516 29305 29794 29591 30637 31259 40937 34828 37905 39317 38342Federal 6398 5213 5091 4952 4570 4200 4364 1494 1354 1925 2524 4503 3677 4286 4260 4207State and locala 11479 19897 19933 21248 22926 21316 24941 28300 28237 28713 28735 36434 31150 33618 35056 34135Water total 8789 7829 7211 7373 7644 7887 8189 7751 7623 7817 7653 8048 7634 10325 7596 10864Federal 6401 5540 4700 4846 5353 5329 5160 5048 4702 4728 4650 4839 4493 4497 4221 5444State and local 2388 2288 2511 2527 2291 2558 3029 2703 2921 3090 3003 3209 3141 5828 3375 5420Rail total 4683 1631 717 987 1123 975 978 1246 1180 1265 1168 458 779 733 1252 1146Federal 4635 1608 710 985 1120 969 964 1197 1134 1237 1147 433 765 702 1211 1126State and local 48 23 8 1 3 6 14 49 45 28 21 25 14 31 42 20Pipeline totalb RZ 12 34 35 40 40 45 28 39 36 39 40 46 36 45 60Federal RZ RZ 12 12 15 16 19 15 26 22 24 23 28 17 25 41State and local RZ 12 21 24 25 24 26 14 13 14 15 17 18 19 20 19General support totalc 354 284 253 341 356 402 456 886 811 746 645 653 653 814 1981 9909Federal general support 354 284 253 341 356 402 456 879 804 739 638 647 645 805 1970 9898State and local RZ RZ RZ RZ RZ RZ RZ 7 7 7 6 6 8 10 11 11KEY R = revised RZ = no activity or a value of zero U = data are not available

Numbers may not add to totals due to rounding

SOURCES

Table 3-29b Transportation Expenditures by Mode and Level of Government from Own Funds Fiscal Year (Chained 2000 $ millions)

b Includes gas and liquid pipeline

Constant dollar deflator US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Washington DC table 394 Chain-Type Price Index

c General support represents administrative and operating expenditures of the US Department of Transportation the Interstate Commerce Commission (terminated at the end 1995) and the National Transportation Safety Board

a Data for 1980 1985 and 1990-2001 have been revised due to the Office of Management and Budget (OMB)s revision to the source data on federal expenditure and federal grants

1985ndash2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see theGovernment Transportation Financial Statistics report for details

Numbers for state and local expenditures from own funds were calculated by deducting federal grants from state and local expenditures that included federal grants

NOTE

1980 US Department of Transportation Bureau of Transportation Statistics unpublished data

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003Total all modes 14617 18176 19697 20492 21351 23038 23283 24793 24760 25913 25014 27824 35277 38668 42593 42282Highway 10807 14007 14695 15083 16044 17158 18319 18457 18712 19819 19073 21952 25710 27630 29890 29608Air 590 789 1220 1541 1672 1931 1620 1826 1655 1489 1511 1565 1578 2020 2860 2681Transit 3163 3329 3738 3826 3586 3893 3268 4410 4298 4518 4342 4226 7942 8957 9767 9938Watera RZ 12 26 35 36 37 39 62 55 31 32 21 9 1 RZ RZRail 54 35 14 3 7 12 27 21 23 37 35 38 13 31 43 22Pipeline RZ RZ 4 5 6 7 5 12 11 13 14 16 18 19 22 20General Supportb 3 4 RZ RZ RZ 0 5 6 6 6 6 6 8 10 12 12

Table 3-30a Federal Transportation Grants to State and Local Governments by Mode Fiscal Year (Current $ millions)

KEY R = revised RZ = no activity or a value of zero 0 = value too small to report

a Includes only federal grants for Boat Safety Program b General support is a new addition to the table It includes federal grants to state and local governments for research

1980 US Department of Transportation Bureau of Transportation Statistics unpublished data1985-2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

NOTENumbers may not add to totals due to rounding

SOURCES

Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

Table 3-30b Federal Transportation Grants to State and Local Governments by Mode Fiscal Year (Chained 2000 $ millions)1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

Total all modes 28278 27642 26172 25906 26552 27516 26956 29014 28057 28498 26971 29080 35277 37593 40252 39013Highway 20910 21307 19525 19069 19953 20492 21209 21599 21204 21796 20566 22943 25710 26861 28247 27319Air 1142 1200 1621 1948 2079 2307 1875 2137 1875 1638 1629 1636 1578 1964 2703 2474Transit 6120 5064 4967 4836 4459 4650 3783 5161 4870 4969 4682 4417 7942 8708 9230 9170Watera RZ 18 34 44 45 44 46 73 62 34 35 22 9 1 RZ RZRail 105 53 19 3 8 14 32 25 26 41 38 40 13 30 41 20Pipeline RZ RZ 6 6 7 8 6 14 13 14 15 17 18 19 20 19General supportb 5 6 RZ RZ RZ 0 6 7 7 7 6 6 8 10 11 11KEY R = revised RZ = no activity or a value of zero 0 = value too small to report

a Includes only federal grants for Boat Safety Program b General support is a new addition to the table It includes federal grants to state and local governments for

NOTENumbers may not add to totals due to rounding Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

SOURCES1980 US Department of Transportation Bureau of Transportation Statistics unpublished data 1985ndash2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

Constant dollar deflator US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Washington DC table 394 Chain-Type Price Index

Chapter 4Transportation Energy

and the Environment

Section AUS and Transportation Sector

Energy Consumption

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Domestic production totala 796 901 1130 1001 1017 1058 891 908 887 858 839 832 829 827 801 773 773 767 763 740 723 690 687Crude oilb 704 780 964 837 860 897 736 742 717 685 666 656 646 645 625 588 582 580 575 568 542 518 514Natural gas plant liquids 093 121 166 163 157 161 156 166 170 174 173 176 183 182 176 185 191 187 188 172 181 172 174Gross imports total 181 247 342 606 691 507 802 763 789 862 900 883 948 1016 1071 1085 1146 1187 1153 1226 1315 1371 1361Crude oilbc 102 124 132 410 526 320 589 578 608 679 706 723 751 823 871 873 907 933 914 966 1009 1013 1010Petroleum productsd 080 123 210 195 165 187 212 184 180 183 193 161 197 194 200 212 239 254 239 260 306 359 352Exports 020 019 026 021 054 078 086 100 095 100 094 095 098 100 094 094 104 097 098 101 105 116 133US net importse 161 228 316 585 636 429 716 663 694 762 805 789 850 916 976 991 1042 1090 1055 1124 1210 1255 1228US petroleum consumption 980 1151 1470 1632 1706 1573 1699 1671 1703 1724 1772 1772 1831 1862 1892 1952 1970 1965 1976 2003 2073 2080 2058By the transportation sector 514 604 778 895 955 984 1089 1076 1088 1112 1142 1167 1192 1210 1242 1276 1301 1294 1321 (R) 1332 (R) 1372 (R) 1394 1399Transportation petroleum use a percent of domestic petroleum production 645 670 688 894 939 930 1221 1186 1227 1296 1361 1402 1437 1463 1550 1651 1683 1687 1732 (R) 18000 (R) 18982 (R) 20216 20359Transportation petroleum use a percent of domestic petroleum consumption 524 524 529 548 560 626 641 644 639 645 644 658 651 650 657 654 660 658 668 (R) 6649 (R) 6618 (R) 6701 6798World petroleum consumption 2134 3114 4681 5620 6311 6009 6654 6712 6735 6744 6875 6990 7150 7331 7403 7579 7688 7766 7808 7974 8245 8402 UUS petroleum consumption as percent of world petroleum consumption 459 370 314 290 270 262 255 249 253 256 258 254 256 254 256 258 256 253 253 251 251 248 U

1960-65 Ibid Annual Energy Review 2000 DOEEIA-0384(2000) (Washington DC August 2001) table 119

1975-2006 Ibid Monthly Energy Review (Washington DC December 2006) tables 31a 31b and 17 Internet site httpwwweiadoegov as of Mar 30 2007

1970-2005 Ibid International Petroleum Monthly (Washington DC December 2006) table 46 Internet site httpwwweiadoegovipmdemandhtml as of Jan 10 2007

US petroleum consumption by transportation sector

Domestic production imports exports and US petroleum consumption1960-702006 US Department of Energy Energy Information Administration Annual Energy Review DOEEIA-0384(2000) (Washington DC August 2001) table 51

World petroleum consumption

KEY R = revised U = data are not available

a Includes crude oil and natural gas plant liquids This data series has been revised from 1975 forward to exclude the field production of other liquids including finished motor gasoline motor gasoline blending components and other hydrocarbons and oxygenates

1960-2006 Ibid Annual Energy Review 2006 DOEEIA-0384(2005) (Washington DC July 2007) table 513c Internet site httpwwweiadoegov as of Dec 19 2007

b Includes lease condensate

NOTE

Table 4-1 Overview of US Petroleum Production Imports Exports and Consumption (Million barrels per day)

SOURCES

c Includes imports for the Strategic Petroleum Reserve which began in 1977d Beginning in 1985 motor gasoline blending components and aviation gasoline blending components are includede Net imports is equal to imports minus exports

Numbers may not add to totals due to rounding

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Energy consumption total 4509 5402 6784 7200 7812 7649 8465 8461 8596 8760 8926 9117 9418 9477 9518 9682 9898 9633 9786 9821 10035 (R) 10051 (R) 9989Transportation 1056 1240 1606 1821 1966 2004 2237 2207 2236 2272 2331 2379 2438 2470 2520 2589 2649 2622 2679 2693 2782 (R) 2828 (R) 2876

Transportation as percent of total energy consumption

234 230 237 253 252 262 264 261 260 259 261 261 259 261 265 267 268 272 274 274 277 (R) 281 (R) 288

Industrial 1698 2012 2298 2145 2261 1947 2121 2085 2179 2178 2242 2275 2344 2372 2321 2299 2287 2184 2186 2158 2246 (R) 2147 (R) 2162Industrial as percent of total energy consumption

377 373 339 298 289 254 251 246 253 249 251 249 249 250 244 237 231 227 223 220 224 (R) 214 (R) 216

Residential and commercial 939 1048 1255 1203 1153 1086 1043 1071 1096 1114 1101 1101 1171 1130 1039 1079 1140 1092 1104 1149 1120 (R) 1100 (R) 992Residential and commercial as percent of total energy consumption

208 194 185 167 148 142 123 127 128 127 123 121 124 119 109 111 115 113 113 117 112 (R) 109 (R) 99

Energy input at electric utilities 816 1101 1610 2031 2433 2613 3066 3103 3089 3203 3256 3362 3464 3505 3639 3714 3821 3737 3817 3822 3888 3980 (R) 3959Energy input at electric utilities as percent of total energy consumption

181 204 237 282 311 342 362 367 359 366 365 369 368 370 382 384 386 388 390 389 387 396 (R) 396

Percentage of primary demand met by petroleumTransportation 960 957 953 967 967 972 967 969 969 967 965 (R) 970 (R) 970 (R) 968 (R) 974 (R) 974 (R) 975 (R) 975 (R) 974 (R) 977 (R) 978 (R) 978 (R) 977Industrial 354 353 355 380 421 398 390 383 394 386 392 379 386 392 393 409 399 422 422 428 (R) 440 (R) 451 (R) 454Residential and commercial 398 386 354 316 263 242 226 211 219 208 201 192 191 189 190 198 203 209 194 201 205 198 (R) 187Electric utilities 67 67 130 156 108 42 42 39 32 35 33 22 24 26 36 33 30 34 25 32 31 31 16

Table 4-2 US Consumption of Energy from Primary Sources by Sector (Quadrillion Btu)

1960-70 US Department of Energy Energy Information Administration Annual Energy Review 1990 DOEEIA-0394(90) (Washington DC May 1991) table 41975-2007 Ibid Monthly Energy Review DOEEIA-0035(200902) (Washington DC February 2009) tables 21 22 23 24 25 26 3-8a 3-8b and 38c available at httpwwweiadoegovemeumercontentshtml as of March 2009

Numbers may not add to totals due to rounding

SOURCES

The data for residential commercial and industrial sectors include only fossil fuels consumed directly Most renewable fuels are not included The data for the transportation sector includes only fossil and renewable fuels consumed directly The data for electric utilities includes all fuels (fossil nuclear geothermal hydro and other renewables) used by electric utilities Due to a lack of consistent monthly historical data some renewable energy resources are not included in this table The totals in table 4-4 are the best numbers for total US energy consumption from all sources

KEY Btu = British thermal unit R = revised

NOTES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007Total petroleum demand 1992 2326 2953 3273 3420 3092 3355 3285 3353 3384 3467 3455 3576 3627 3693 3796 3840 3833 3840 3905 4059 4039 3996 3982

Transportation 1013 1187 1531 1761 1901 1947 2162 2137 2167 2207 2260 2307 2365 2392 2454 2522 2582 2556 2608 2630 2721 2731 2756 2758Industrial 575 679 779 815 952 774 828 799 858 842 880 861 905 929 912 940 912 922 921 924 987 967 982 967Residential and commercial 349 387 431 380 304 262 236 229 228 223 221 212 224 213 197 213 232 228 214 231 230 218 193 191Electric utilities 055 073 212 317 263 109 129 120 099 112 106 075 082 093 131 121 114 128 096 120 121 124 065 066

Transportation as percent of total petroleum demand 509 510 518 538 556 630 645 651 646 652 652 668 661 659 664 664 672 667 679 673 670 676 690 693

1960-70 US Department of Energy Energy Information Administration Annual Energy Review 1997 DOEEIA-0384(97) (Washington DC July 1998) tables 21 512b and A3 1975-2007 Ibid Monthly Energy Review DOEEIA-0035(200605) (Washington DC March 2008) tables 13 22 23 24 25 26 and similar tables in earlier editions Internet site httpwwweiadoegov as of Apr 16 2008

SOURCES

Table 4-3 Domestic Demand for Refined Petroleum Products by Sector (Quadrillion Btu)

KEY Btu = British thermal unit R = revisedNOTETransportations share of US petroleum demand in this table differs slightly from table 4-1 because this table takes into account differences within sectors in the use of various grades of petroleum-based fuel that have different Btu content per unit volume

Section BTransportation Energy Consumption by Mode

Table 4-4 US Energy Consumption by the Transportation Sector (Quadrillion Btu)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Energy consumption (all sectors) (R)4509 5402 (R)6784 7200 (R)7812 (R)7649 (R)8465 (R)8461 (R)8596 (R)8760 (R)8926 (R)9117 (R)9417 (R)9477 (R)9518 (R)9682 9898 (R)9633 (R)9786 (R)9821 (R)10035 (R)10051 (R)9986 10160Total transportation consumptiona (R)1060 (R)1243 (R)1610 1824 1970 (R)2009 (R)2242 (R)2212 (R)2242 2277 2337 2385 2444 2475 2526 2595 2655 (R)2628 (R) 2685 (R) 2700 (R) 2790 (R) 2836 (R)2886 2910

Transportation as percent of total energy consumption (R)2350 (R)2302 (R)2373 2534 2521 (R)2626 (R)2648 (R)2614 (R)2608 (R)2599 (R)2618 (R)2616 (R)2595 (R)2612 (R)2654 (R)2680 2683 (R)2728 (R)2744 (R)2749 (R)2780 (R)2822 (R)2890 2864

Total primary consumptionb 1056 1240 (R)1606 1821 1966 (R)2004 (R)2237 (R)2207 (R)2236 2272 2331 2379 2438 2470 2520 2589 2649 (R)2622 (R)2679 (R)2693 (R)2782 (R)2828 (R)2878 (R)2901Coal (R)0075 (R)0016 0007 0001 f f f f f f f f f f f f f f f f f f f f

in million short tons (R)3046 (R)0655 0298 0024 f f f f f f f f f f f f f f f f f f f f

Natural gasc 036 052 (R)0745 059 065 052 068 062 061 064 071 072 074 078 067 068 067 066 070 063 060 062 (R)063 067in trillion cubic feet 035 050 072 058 063 050 066 060 059 063 069 070 072 076 064 066 065 064 068 061 059 061 (R)061 065

Petroleum productsd 1013 1187 1531 1761 1901 1947 2162 2137 2167 (R)2198 (R)2250 (R)2295 (R)2356 (R)2381 (R)2442 (R)2510 (R)2568 (R)2541 (R)2591 (R)2606 (R)2692 (R)2731 (R)2767 2772in million barrels 1880 2203 2839 3267 3494 3591 3974 3929 3982 4060 4167 4259 4363 4416 4533 4659 4762 4722 (R)4821 (R)4862 (R)5021 (R)5094 (R)5179 5207

Electricity 0010 0010 0011 0010 0011 0014 0016 0016 0016 0016 0017 0017 0017 0017 0017 0017 0018 0020 0019 0023 0025 0026 0025 0026Electrical system energy lossese 0026 0024 0026 0024 0027 0032 0037 0037 0037 0037 0038 0039 0038 0038 0038 0040 0042 0043 0042 0051 0055 0056 (R)0054 0057KEY Btu = British thermal unit E = estimated R = reviseda Sum of primary consumption electricity and electrical system energy losses categoriesb Sum of coal natural gas and petroleum categoriesc Consumed in the operation of pipelines primarily in compressors and small amounts consumed as vehicle fueld Includes most nonutility use of fossil fuels to produce electricity and small amounts (about 01 quadrillion Btu per year since 1990) of renewable energy in the form of ethanol blended into motor gasolinee Incurred in the generation transmission and distribution of electricity plus plant use and unaccounted for electrical system energy lossesf Beginning from 1980 small amounts of coal consumed for transportation are included in industrial sector consumption

NOTESEnergy consumption (all sectors) differs from totals in table 4-2 for 1990 and subsequent years

SOURCESEnergy consumption (all sectors) total transportation consumption and total primary consumption US Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21a available at httpwwweiadoegov as of September 2008CoalBtuUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008Short tons US Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 73 available at httpwwweiadoegov as of September 2008Natural gasBtu US Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008Cubic feet 1960-70 Ibid Annual Energy Review 2000 DOEEIA-0384 (2000) (Washington DC August 2001) table 651975-2007 Ibid Monthly Energy Review (Washington DC September 2008) table 43 available at httpwwweiadoegov as of September 2008 Petroleum productsBtuUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008BarrelsUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 513c available at httpwwweiadoegov as of September 2008 Electricity and electrical system energy lossesUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AirCertificated carriersa

Jet fuel (million gallons) 1954 3889 7857 7558 8519 10115 12323 11506 11763 11959 12384 12672 13217 13563 13335 14402 14845 14017 12848 12959 13623 13789 13458General aviationb

Aviation gasoline (million gallons) 242 292 551 412 520 421 353 354 314 268 266 287 289 292 311 345 (R) 333 (R) 279 (R) 277 (R) 272 (R) 273 255 262Jet fuel (million gallons) N 56 208 453 766 691 663 577 494 454 464 560 608 642 815 967 972 (R) 918 (R) 938 (R) 932 (R) 1231 1255 1289

HighwayGasoline diesel and other fuels (million gallons)

Passenger car and motorcycle 41171 49723 67879 74253 70186 71700 69759 64501 65627 67246 68079 68268 69419 70094 71901 73495 73275 73752 75662 75646 (R) 75604 74085 UOther 2-axle 4-tire vehicle N e 12313 19081 23796 27363 35611 38217 40929 42851 44112 45605 47354 49388 50462 52859 52939 53522 55220 60758 (R) 63417 65419 USingle-unit 2-axle 6-tire or more truck N 13848 3968 5420 6923 7399 8357 8172 8237 8488 9032 9216 9409 9576 6817 9372 9563 9667 10321 8880 (R) 8959 9042 UCombination truck N 6658 7348 9177 13037 14005 16133 16809 17216 17748 18653 19777 20193 20302 25158 24537 25666 25512 26480 23815 (R) 24191 24411 UBus 827 875 820 1053 1018 834 895 864 878 929 964 968 990 1027 1040 1148 1112 1026 1000 969 (R) 1360 1329 U

Transitc

Electricity (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 UMotor fuel (million gallons)

Diesel 208 248 271 365 431 609 651 665 685 679 678 678 693 717 740 763 786 745 725 713 731 730 UGasoline and other nondiesel fuelsd 192 124 68 8 11 46 34 34 37 46 60 61 61 59 53 49 48 46 57 46 53 58 UCompressed natural gas N N N N N N N N 1 2 5 11 15 24 37 44 55 66 81 100 112 123 U

Rail Class I (in freight service)Distillate diesel fuel (million gallons) 3463 3592 3545 3657 3904 3110 3115 2906 3005 3088 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 UAmtrakElectricity (million kWh) N N N 180 254 295 330 303 300 301 309 304 293 282 275 283 350 377 U U U U UDistillate diesel fuel (million gallons) N N N 63 64 65 82 82 82 83 75 66 71 75 75 74 76 75 U U U U UWater Residual fuel oil (million gallons) 3952 3093 3774 4060 8952 4590 6326 6773 6563 5282 5386 5886 5701 5010 5620 5838 6410 5409 4848 3874 4690 5179 UDistillate diesel fuel oil (million gallons) 787 652 819 1098 1478 1699 2065 2046 2219 2155 2189 2339 2491 2574 2595 2419 2261 2044 2079 2217 2140 2006 UGasoline (million gallons) N N 598 730 1052 1053 1300 1710 1316 874 876 1060 994 987 956 1098 1124 994 1081 1107 1005 1261 UPipelineNatural gas (million cubic feet) 347075 500524 722166 582963 634622 503766 659816 601305 587710 624308 685362 700335 711446 751470 635477 645319 642210 624964 666920 591492 (R) 566187 584779 U

b Includes fuel used in air taxi operations but not commuter operations Data for 1996 are estimated using new information on nonrespondents and are therefore not comparable to earlier years See the accuracy statement in the appendix for more detailed informationc Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and small systemsd Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except compressed natural gase Included in single-unit 2-axle 6-tire or more truck category

Table 4-5 Fuel Consumption by Mode of Transportation in Physical Units

KEY kWh = kilowatt-hour N = data do not exist R = revised U = data are not available

a Domestic operations only

1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 912

SOURCES

Water

AirCertificated air carriers1960-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Fuel Cost and Consumption Internet site httpwwwbtsgovprogramsairline_information as of Sept 4 2007General aviation

1975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions

1994-2006 Ibid FAA Aerospace Forecasts Fiscal Years 2007-2020 (Washington DC Dec 2007) table 34 and similar tables in earlier editionsHighway1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of August 2001)1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1TransitElectricity motor fuel compressed natural gas1960-2005 American Public Transportation Association 2007 Public Transportation Fact Book (Washington DC April 2007) tables 26 27 28 and similar tables in earlier editions

1970-2005 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editions

Gasoline

Pipeline1960-2005 US Department of Energy Natural Gas Annual 2005 DOEEIA-0131(04) (Washington DC Nov 2006) table 15 and similar tables in earlier editions

Rail1960-2005 Association of American Railroads Railroad Facts (Washington DC 2005) p 40Amtrak1975-2001 Amtrak Energy Management Department personal communication

Residual and distillate diesel fuel oil1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 12a1985-2004 US Department of Energy Energy Information Administration Fuel Oil and Kerosene Sales (Washington DC Annual issues) tables 2 4 and similar tables in earlier editions

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004AirCertificated carriersa

Jet fuel 264 525 1061 1020 1150 1366 1664 1553 1588 1614 1672 1711 1784 1831 1800 1944 (R) 2007 (R) 1872 (R) 1744 (R) 1766 (R) 1902General aviationb

Aviation gasoline 29 35 66 50 63 51 42 43 38 32 32 35 35 35 37 42 40 (R)34 33 (R)33 (R)33Jet fuel N 8 28 61 103 93 90 78 67 61 63 76 82 87 110 131 131 (R)124 (R)127 (R)126 (R)166

HighwayGasoline diesel and other fuels

Passenger car and motorcycle 5146 6215 8485 9282 8773 8963 8720 8063 8203 8406 8510 8534 8677 8762 8988 9187 9159 9219 9458 9456 (R)9451Other 2-axle 4-tire vehicle N e 1539 2385 2975 3420 4451 4777 5116 5356 5514 5701 5919 6173 6308 6607 6617 6690 6903 7595 (R)7927Single-unit 2-axle 6-tire or more truck N 1921 550 752 960 1026 1159 1133 1142 1177 1253 1278 1305 1328 946 1300 1326 1341 1290 1110 (R)1120Combination truck N 923 1019 1273 1808 1942 2238 2331 2388 2462 2587 2743 2801 2816 3489 3403 3560 3538 3673 3303 (R)3355Bus 115 121 114 146 141 116 124 120 122 129 134 134 137 142 144 159 154 142 139 134 (R)189

Transitc

Electricity 10 9 9 9 8 14 17 17 16 17 17 17 17 17 17 18 19 19 19 19 20Motor fuel

Diesel 29 34 38 51 60 84 90 92 95 94 94 94 96 99 103 106 109 103 100 99 101Gasoline and other nondiesel fuelsd 24 16 9 1 1 6 4 4 5 6 8 8 8 7 7 6 6 6 6 6 7Compressed natural gas N N N N N N N N lt1 lt1 1 1 2 3 5 6 8 9 11 14 16

Rail Class I (in freight service)Distillate diesel fuel 480 498 492 507 541 431 432 403 417 428 462 483 496 496 497 515 513 515 517 531 563AmtrakElectricity N N N 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 U U UDistillate diesel fuel N N N 9 9 9 11 11 11 12 10 9 10 10 10 10 11 10 U U UWater Residual fuel oil 592 463 565 608 1340 687 947 1014 983 791 806 881 853 750 841 874 960 810 726 580 702Distillate diesel fuel oil 109 90 114 152 205 236 286 284 308 299 304 324 345 357 360 336 314 284 288 307 297Gasoline N N 75 91 132 132 163 214 165 109 109 133 124 123 120 137 141 124 135 138 126PipelineNatural gas 358 516 745 601 654 519 680 620 606 644 707 722 734 775 655 665 662 644 688 610 (R)584

c Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and smaller systemsd Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except compressed natural gas

Table 4-6 Energy Consumption by Mode of Transportation (Trillion Btu)

a Domestic operations onlyb Includes fuel used in air taxi operations but not commuter operations

e Included in other single-unit 2-axle 6-tire or more truck category

KEY Btu = British thermal unit N = data do not exist R = revised U = data are unavailable

Natural gas = 1031 Btuft3

Jet fuel = 135000 Btugallon

Aviation gasoline = 120200 Btugallon

Automotive gasoline = 125000 Btugallon

Diesel motor fuel = 138700 Btugallon

Compressed natural gas = 138700 Btugallon

Distillate fuel = 138700 Btugallon

Residual fuel = 149700 Btugallon

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstatht1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

NOTES

General aviation

The following conversion rates were used

SOURCES

Residual and distillate diesel fuel oil

1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 12a1985-2006 US Department of Energy Energy Information Administration Fuel Oil and Kerosene Sales (Washington DC Annual issues) tables 2 4 and similar tables in earlier editions

Association of American Railroads Railroad Facts (Washington DC Annual issues)Amtrak1975-2001 Amtrak Energy Management Department personal communicationWater

AirCertificated air carriers

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Fuel Cost and Consumption available at httpwwwbtsgovprogramsairline_information as of August

Electricity 1kWh = 3412 Btu negating electrical system losses To include approximate electrical system losses multiply this conversion factor by 3

1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 9121975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions1994-2006 Ibid FAA Aerospace Forecasts Fiscal Years 2007-2018 (Washington DC Dec 2005) table 34 and similar tables in earlier editionsHighway

TransitElectricity motor fuel compressed natural gasAmerican Public Transportation Association Public Transportation Fact Book (Washington DC Annual issues) tables 27 28 29 and similar tables in earlier editions Rail

Gasoline1970-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editionsPipelineUS Department of Energy Natural Gas Annual DOEEIA-0131(04) (Washington DC Annual issues) table 15 and similar tables in earlier editions

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL demand 60761 71187 89601 102996 104838 107550 113606 112222 114883 116579 118717 120253 122595 124235 127978 131781 131891 133740 137260 138608 141182 139989 139681Highway 55429 66979 85598 99354 101183 103545 109529 107913 110974 113668 115682 117061 119515 120938 124694 128743 128884 129682 132955 134091 136455 135176 134836Nonhighway total 5332 4208 4003 3642 3655 4005 4076 4309 3908 2911 3035 3192 3081 3297 3284 3038 3007 4058 4305 4517 4727 4813 4845

Agriculture 2292 1963 1932 1565 1059 1081 681 779 806 846 912 927 918 984 907 703 652 802 832 853 1094 1078 1229Aviationa 1324 501 393 410 413 382 361 339 344 340 364 367 344 335 351 322 296 356 342 305 310 334 346Marine 61 96 598 730 1052 1053 1300 1710 1319 874 897 1060 994 987 956 1098 1124 994 1081 1107 1005 1261 1237Otherb 1656 1647 1080 938 1131 1490 1733 1482 1439 850 862 838 825 990 1070 915 934 1907 2051 2252 2317 2140 2033

NOTE

SOURCESHighway

Table 4-7 Domestic Demand for Gasoline (Million gallons) by Mode

1960-2007 Ibid Highway Statistics (Washington DC Annual issues) table MF-24 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table MF-21 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009Nonhighway

b Includes state county and municipal use industrial and commercial use construction use and miscellaneous

a Does not include aviation jet fuel

1960-94 US Department of Transportation Federal Highway Administration Highway Statististics Summary to 1995 (Washington DC 1996) table MF-221 available at wwwfhwadotgovpolicyohpi as of Mar 13 2009

All nonhighway uses of gasoline were estimated by the US Department of Transportation Federal Highway Administration

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number of aircraft 2135 2125 2679 2495 3808 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 U UAverage miles flown per aircraft (thousands) 487 667 949 932 768 740 776 770 669 701 727 759 783 791 768 797 862 802 835 899 969 1003 U UAircraft-miles (millions)Domestic operations 858 1134 2068 1948 2523 3046 3963 3854 3995 4157 4380 4629 4811 4911 5035 5332 5664 5548 5616 6085 6552 6714 (R) 6625 6726International operations 182 284 475 377 401 415 760 807 904 961 980 998 1043 1114 1192 1225 1282 1266 1225 1262 1384 1536 (R) 1589 1681Fuel consumption (million gallons)Domestic operations 1954 3889 7857 7558 8519 10115 12323 11506 11763 11959 12384 12672 13217 13563 13335 14402 (R) 14865 (R) 13868 (R) 12926 (R) 13082 (R) 14091 (R) 13962 (R) 13582 13556International operations 566 1280 2243 1949 1747 2488 3909 3940 4120 4113 4279 4443 4618 4915 4923 5250 (R) 5508 (R) 5336 (R) 5075 (R) 5219 (R) 5592 (R) 5974 (R) 6018 6204Aircraft-miles flown per gallonDomestic operations 044 029 026 026 030 030 032 033 034 035 035 037 036 036 038 037 (R) 038 (R) 040 (R) 043 (R) 047 (R) 046 (R) 048 (R) 049 050International operations 032 022 021 019 023 017 019 020 022 023 023 022 023 023 024 023 (R) 023 (R) 024 (R) 024 (R) 024 (R) 025 (R) 026 (R) 026 027

2002-07 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues January) pp 3 and 4 line 25 plus line 46Fuel consumption1960-70 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovprogramsoaifuelfuelyearlyhtml as of June 25 20041980-2007 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Jun 26 2008

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III tables 2 and 131965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III tables 2 and 131975-80 Ibid Air Carrier Traffic Statistics (Washington DC December 1976) pp 4 and 14 and (December 1981) pp 2 and 31985-2001 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues December) pp 2 and 3 line 27 plus line 50

1980-85 Ibid FAA Statistical Handbook of Aviation Calendar Year 1986 (Washington DC 1986) table 511990-97 Ibid FAA Statistical Handbook of Aviation Calendar Year 1997 (Washington DC unpublished) personal communication Mar 19 19991998-2005 Aerospace Industries Association Aerospace Facts and Figures (Washington DC Annual Issues) Active US Air Carrier Fleet p 90 and similar pages in earlier editionsAircraft-miles flown

SOURCESNumber of aircraft1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1970 edition (Washington DC 1970) table 531970-75 Ibid FAA Statistical Handbook of Aviation Calendar Year 1979 (Washington DC 1979) table 51

a Aircraft operating under 14 CFR 121 and 14 CFR 135

KEY R = revised U = data are unavailable

Table 4-8 Certificated Air Carrier Fuel Consumption and Travela

Table 4-9 Motor Vehicle Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Vehicles registered (thousands)a 73858 90358 111242 137913 161490 177133 193057 192314 194427 198041 201802 205427 210441 211580 215496 220461 225821 235331 234624 236760 237243 247421 (R) 250845 254403Vehicle-miles traveled (millions) 718762 887812 1109724 1327664 1527295 1774826 2144362 2172050 2247151 2296378 2357588 2422696 2485848 2561695 2631522 2691056 2746925 2797287 2855508 2890450 2964788 2989430 (R) 3014371 3029822Fuel consumed (million gallons) 57880 71104 92329 108984 114960 121301 130755 128563 132888 137262 140839 143834 147365 150386 155379 161411 162554 163478 168682 170069 178536 174787 174930 176106Average miles traveled per vehicle (thousands) 97 98 100 96 95 100 111 113 116 116 117 118 118 121 122 122 122 119 122 122 125 12 120 119Average miles traveled per gallon 124 125 120 122 133 146 164 169 169 167 167 168 169 170 169 167 169 171 169 170 166 17 172 172Average fuel consumed per vehicle (gallons) 784 787 830 790 712 685 677 669 683 693 698 700 700 711 721 732 720 695 719 718 753 706 697 692KEY R = revised

a Includes personal passenger vehicles buses trucks and motorcycles

NOTESee tables 4-11 4-12 4-13 4-14 and 4-15 for individual highway vehicles

SOURCES 1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 20091995-2007 Ibid Highway Statistics (Washington DC Annual issues) tables MF-21 MV-1 and VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL fuel consumptiona 134230631 135912964 140718522 144774683 148180046 151597859 156838150 161210087 163032407 165201691 169983219 (R) 177697941 (R) 180698532 (R) 182185778 184810803Alternative fuels total 229631 293334 281152 276643 295616 312589 323790 302287 322037 348421 378589 (R) 402941 (R) 428532 (R) 420778 417803

Liquefied petroleum gases 208142 264655 248467 232701 239158 238356 241386 209817 212576 215876 223143 224697 211883 188171 173130Compressed natural gas 16823 21603 24160 35162 46923 65192 72412 79620 86475 104496 120670 133222 158903 166878 172011Liquefied natural gas 585 1901 2345 2759 3247 3714 5343 5828 7259 8921 9382 13503 20888 22409 23474Methanol 85b 1069 1593 2340 2023 1775 1554 1212 1073 585 439 337 N N N NMethanol neat 2547 3166 3190 2150 347 347 449 447 0 0 0 0 0 N NEthanol 85b 21 48 80 190 694 1280 1727 3916 12071 14623 17783 26376 31581 38074 44041Ethanol 95b 85 80 140 995 2699 1136 59 62 13 0 0 0 0 0 NElectricityc 359 288 430 663 773 1010 1202 1524 3058 4066 7274 5141 5269 5219 5104Hydrogen N N N N N N N N N N N 2 8 25 41Other Fuels N N N N N N N N N N N 0 0 2 2

Biodiesel N N N N N N N N 6816 7076 16917 (R) 18220 (R) 28244 (R) 91649 260606Oxygenates

Methyl-tertiary-butyl-etherd 1175000 2069200 2018800 2691200 2749700 3104200 2903400 3402600 3296100 3352200 2383000 2368400 1877300 1654500 435000Ethanol in gasohol 701000 760000 845900 910700 660200 830700 889500 950300 1085800 1143300 1413600 1919572 2414167 2756663 3729168

Traditional fuels total 134001000 135619630 140437370 144498040 147884430 151285270 156514360 160907800 162710370 164853270 169604630 177295000 180270000 181765000 184393000Gasolinee 110135000 111323000 113144000 115943000 117783000 119336000 122849000 125111000 125720000 127768000 131299000 135330000 138283000 138723000 140146000Dieself 23866000 24296630 27293370 28555040 30101430 31949270 33665360 35796800 36990370 37085270 38305630 41965000 41987000 43042000 44247000

Numbers may not add to totals due to rounding

SOURCE

KEY N = data do not exist R = revised

a Total fuel consumption is the sum of alternative fuels gasoline and diesel Oxygenate consumption is included in gasoline consumption

Table 4-10 Estimated Consumption of Alternative and Replacement Fuels for Highway Vehicles (Thousand gasoline-equivalent gallons)

US Department of Energy Energy Information Administration Alternatives to Traditional Transportation Fuels 2006 available at httpwwweiadoegovcneafalternatepageatftablesafvtransfuel_IIhtml table C-1 as of December 2008

b The remaining portion of 85 methanol 85 ethanol and 95 ethanol fuels is gasoline Consumption data include the gasoline portion of the fuelc Excludes gasoline-electric hybridsd Includes a very small amount of other ethers primarily tertiary-amyl-methyl-ether and ethyl-tertiary-butyl-ether e Gasoline consumption includes ethanol in gasohol and methyl-tertiary-butyl-etherf Diesel includes biodiesel

NOTES

Beginning with 2003 data the methodology used to develop the estimates of alternative fueled vehicles (AFVs) in use and alternate transportation fuel consumption were changed The data reflect this new methodology

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Vehicles registered (thousands)Passenger cars 61671 75258 89244 106706 121601 127885 133700 128300 126581 127327 127883 128387 129728 129749 131839 132432 133621 137633 135921 135670 136431 136568 135400Motorcycles 574 1382 2824 4964 5694 5444 4259 4177 4065 3978 3757 3897 3872 3826 3879 4152 4346 4903 5004 5370 5768 6227 (R) 6679Vehicle-miles traveled (millions)Passenger carsa 587000 723000 917000 1034000 1112000 1247000 1408000 1358000 1372000 1375000 1406000 1438000 1469854 1502556 1549577 1569100 1600287 1628332 1658474 1672079 1699890 1708421 (R) 1690534Motorcycles U U 3000 5600 10200 9100 9600 9200 9600 9900 10200 9800 9920 10081 10283 10584 10469 9639 9552 9577 10122 10454 (R) 12049Fuel consumed (million gallons)Passenger carsa 41171 49723 67819 74140 69982 71518 69568 64317 65436 67048 67874 68072 69221 69892 71695 73283 73065 73559 75471 75455 75402 77418 (R) 75009Motorcycles U U 60 113 204 182 191 184 191 198 205 196 198 202 206 212 209 193 191 192 202 189 221Average miles traveled per vehicle (thousands)Passenger carsa 95 96 103 97 91 98 105 106 108 108 110 112 113 116 118 118 120 12 122 123 125 125 125Motorcycles U U 11 11 18 17 23 22 24 25 27 25 26 26 27 25 24 2 19 18 18 17 18Average miles traveled per gallonPassenger carsa 143 145 135 139 159 174 202 211 210 205 207 211 212 215 216 214 219 221 220 222 225 221 225Motorcycles U U 500 496 500 500 503 500 503 500 498 500 500 500 500 500 500 499 500 500 500 553 (R) 545Average fuel consumed per vehicle (gallons)Passenger carsa 668 661 760 695 576 559 520 501 517 527 531 530 534 539 544 553 547 534 555 556 553 567 554Motorcycles U U 21 23 36 33 45 44 47 50 55 50 51 53 53 51 48 39 38 36 35 30 33

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1960-65 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

KEY R = revised U = data are not available

a 1960 and 1965 data include motorcycles

NOTES

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009All other categories

1970-94 Calculated based on data from US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Table 4-11 Passenger Car and Motorcycle Fuel Consumption and Travel

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Number registered

See table 4-12 for other 2-axle 4-tire vehicles

SOURCES

Average miles traveled per vehicle average miles traveled per gallon and average fuel consumed per vehicle are derived by calculation

Table 4-12 Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Number registered (thousands) 14211 20418 27876 37214 48275 53033 57091 59994 62904 65738 69134 70224 71330 75356 79085 84188 85011 87187 91845 95337 99125 101470Vehicle-miles traveled (millions) 123000 201000 291000 391000 575000 649000 707000 746000 765000 790000 816540 850739 868275 901022 923059 943207 966034 984094 1027164 1041051 (R) 1082490 1111277Fuel consumed (million gallons) 12313 19081 23796 27363 35611 38217 40929 42851 44112 45605 47354 49388 50462 52859 52939 53522 55220 60758 63417 58869 (R) 60685 61816Average miles traveled per vehicle (thousands) 87 98 104 105 119 122 124 124 122 120 118 121 122 120 117 112 114 113 112 109 (R) 109 110Average miles traveled per gallon 100 105 122 143 161 170 173 174 173 173 172 172 172 170 174 176 175 162 162 177 (R) 178 180Average fuel consumed per vehicle (gallons) 866 935 854 735 738 721 717 714 701 694 685 703 707 701 669 636 650 697 690 617 612 609KEY R = revised

NOTESNearly all vehicles in this category are light trucks which include vans pickup trucks and sport utility vehicles In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data They are passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Prior to 1993 some minivans and sport utility vehicles were included under the passenger car category

SOURCES

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 20091995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Table 4-13 Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travela

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number registered (thousands) 3681 4232 4374 4593 4487 4481 4370 4408 4906 5024 5266 5293 5735 5763 5926 5704 5651 5849 6161 6395 6649 6807 Vehicle-miles (millions) 27100 34600 39800 45400 51900 52900 53900 56800 61300 62705 64072 66893 68021 70304 70500 72448 75866 77757 78441 78496 (R) 80344 81954 Fuel consumed (million gallons) 3968 5420 6923 7399 8357 8172 8237 8488 9032 9216 9409 9576 6817 9372 9563 9667 10321 8880 8959 9501 (R) 9852 10035 Average miles traveled per vehicle (thousands) 74 82 91 99 116 118 123 129 125 125 122 126 119 122 119 127 134 133 127 123 121 120Average miles traveled per gallon 68 64 57 61 62 65 65 67 68 68 68 70 100 75 74 75 74 88 88 83 82 82Average fuel consumed per vehicle (gallons) 1078 1281 1583 1611 1862 1824 1885 1926 1841 1835 1787 1809 1189 1626 1614 1695 1826 1518 1454 1486 (R) 1482 1474KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of single-unit 2-axle 6-tire or more trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

NOTES In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data to include passenger cars other 2-axle 4-tire vehicles single-unit 2-axle 6-tire or more trucks and combination trucks Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the most appropriate category

SOURCES 1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009 1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 787 905 1131 1417 1403 1709 1691 1675 1680 1682 1696 1747 1790 1997 2029 2097 2154 2277 1908 2010 2087 2170Vehicle-miles traveled (millions) 31700 35100 46700 68700 78100 94300 96600 99500 103100 108900 115500 118899 124584 128359 132384 135020 136584 138737 140160 142370 (R) 144028 142706Fuel consumed (million gallons) 6658 7348 9177 13037 14005 16133 16809 17216 17748 18653 19777 20193 20302 25158 24537 25666 25512 26480 23815 24191 (R) 27689 28075Average miles traveled per vehicle (thousands) 403 388 413 485 557 552 571 594 614 648 681 681 696 643 653 644 634 609 734 708 (R) 690 658Average miles traveled per gallon 48 48 51 53 56 58 57 58 58 58 58 59 61 51 54 53 54 52 59 59 (R) 52 51Average fuel consumed per vehicle (gallons) 8465 8119 8116 9201 9980 9441 9938 10276 10562 11093 11663 11561 11342 12596 12096 12241 11843 11631 12479 120333 (R) 13269 12940

SOURCES 1965-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-14 Combination Truck Fuel Consumption and Travela

KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of combination trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 272 314 378 462 529 593 627 631 645 654 670 686 695 698 716 729 746 750 761 777 795 807 822Vehicle-miles traveled (millions) 4300 4700 4500 6100 6100 4500 5700 5800 5800 6100 6400 6400 6563 6842 7007 7662 7590 7077 6845 6783 6801 6980 (R) 6783Fuel consumed (million gallons) 827 875 820 1053 1018 834 895 864 878 929 964 968 990 1027 1040 1148 1112 1026 1000 969 1360 1120 (R) 1148Average miles traveled per vehicle (thousands) 158 150 119 132 115 76 91 92 90 93 95 93 94 98 98 105 102 94 90 87 86 86 (R) 83Average miles traveled per gallon 52 54 55 58 60 54 64 67 66 66 66 66 66 67 67 67 68 69 68 70 50 62 (R) 59Average fuel consumed per vehicle (gallons) 3039 2784 2172 2278 1925 1405 1427 1369 1362 1420 1438 1412 1425 1472 1454 1576 1490 1369 1314 1248 1710 1388 (R) 1397

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Table 4-15 Bus Fuel Consumption and Travel

NOTEIncludes both publicly and privately owned school transit and other commercial buses

SOURCES1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

KEY R = revised

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number of vehicles (thousands) 65 62 61 62 75 94 93 97 103 108 116 116 123 126 124 129 131 135 135 138 144 (R) 151 (P) 155Vehicle-miles traveled (millions) 2143 2008 1883 2176 2287 2791 3242 3306 3355 3435 3468 3550 3650 3746 3794 3972 4081 4196 4277 4363 4471 4601 4684Electric power consumed (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 5952Primary energy consumed (thousand gallons)Diesel 208100 248400 270600 365060 431400 608738 651030 665158 684944 678511 678226 678286 692714 716952 739621 763369 786025 744663 724535 712747 730706 729918 735100Gasoline and other nondiesel fuelsb 191900 124200 68200 7576 11400 45704 33906 34467 37179 45672 60003 60730 61213 59463 52615 48694 48284 45873 51150 46294 52907 58120 75000Compressed natural gas N N N N N N N N 1009 1579 4835 10740 15092 23906 37268 44398 54794 66215 81051 100071 111810 123053 146600

Table 4-16 Transit Industry Electric Power and Primary Energy Consumptiona and Travel

KEY kWh = kilowatt hour N = data do not exist R = revised P = preliminary

SOURCEAmerican Public Transportation Association 2008 Public Transportation Fact Book (Washington DC Annual issues) tables 10 15 27 28 29 and similar tables in earlier editions available at httpwwwaptacom as of December 2008

a Prior to 1984 the data in this table include the energy consumption of bus heavy rail light rail and trolley bus Commuter rail automated guideway urban ferryboat demand responsive vehicles and most rural and smaller systems are excluded from the data during this periodb Other nondiesel fuels includes consumption of propane (liquid petroleum gas) for years prior to 1984 For 1984 and after other nondiesel fuels includes propane (liquid petroleum gas) liquefied natural gas and other (biosoy fuel biodiesel hydrogen methanol ethanol and various blends) Therefore the data prior to 1984 are not comparable to the data for 1984 and after

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number in useLocomotivesa 29031 27780 27077 27846 28094 22548 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Carsb 1965486 1800662 1784181 1723605 1710827 1421686 1212261 1189660 1173136 1173132 1192412 1218927 1240573 1270419 1315667 1368836 1380796 1314136 1299670 1278980 1287920 1312245 1346507Miles traveled (millions)Freight train-milesc 404 421 427 403 428 347 380 375 390 405 441 458 469 475 475 490 504 500 500 516 535 548 563Locomotive unit-miles N N N 1479 1531 1228 1280 1238 1278 1320 1405 1445 1465 1423 1440 1504 1503 1478 1444 (R) 1484 1538 (R) 1588 1660Car-miles 28170 29336 29890 27656 29277 24920 26159 25628 26128 26883 28485 30383 31715 31660 32657 33851 34590 34243 34680 35555 37071 37712 38955Average miles traveled per vehicle (thousands)Locomotives N N N 531 545 545 680 675 710 727 759 768 760 723 711 742 750 748 704 714 699 (R) 697 699Cars 143 163 168 160 171 175 216 215 223 229 239 249 256 249 248 247 251 261 267 278 288 287 289Average miles traveled per gallonTrains 012 012 012 011 011 011 012 013 013 013 013 013 013 013 013 013 014 013 013 013 013 013 013Cars 813 817 843 756 750 801 840 882 869 871 854 873 886 886 911 911 935 923 930 929 913 920 929Fuel consumed (million gallons) 3463 3592 3545 3657 3904 3110 3115 2906 3005 3088 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 4192Average fuel consumed per locomotivea (thousand gallons) 1193 1293 1309 1313 1390 1379 1654 1584 1669 1700 1802 1850 1857 1816 1768 1834 1847 1879 1819 1842 1844 1799 1766

c Based on the distance run between terminals and or stations does not include yard or passenger train-miles

2006 Association of American Railroads personal communication Apr 24 20082005 Association of American Railroads personal communication June 13 2007

1975-92 2002 Ibid Railroad Ten-Year Trends (Washington DC Annual issues)1993-2001 2003-04 Ibid Analysis of Class I Railroads (Washington DC Annual issues)

Table 4-17 Class I Rail Freight Fuel Consumption and Travel

KEY N = data do not exist

Locomotive unit-milesAssociation of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 33 34 40 49 and 51 and similar tables in earlier editions

SOURCESAll data except for locomotive unit-miles

a For 1960-80 the total includes a small number of steam and electric units which are not included in the per locomotive fuel consumption figureb Includes cars owned by Class I railroads other railroads car companies and shippers

Table 4-18 Amtrak Fuel Consumption and Travel 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Number in useLocomotives 355 419 291 318 316 336 360 338 313 299 332 345 329 378 401 372 442 276 258 319Cars 1913 2128 1854 1863 1786 1796 1853 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186 1191

Miles traveled (millions)Train-miles 30 30 30 33 34 34 35 34 32 30 32 33 34 35 36 38 37 37 36 36Car-miles 253 235 251 301 313 307 303 304 292 276 288 312 342 368 378 379 332 308 265 264

Locomotive fuel consumedElectric (million of kWh hours) 180 254 295 330 303 300 301 309 304 293 282 275 283 350 U U U U U UDiesel (million gallons) 63 64 65 82 82 82 83 75 66 71 75 75 74 76 U U U U U U

Average miles traveled per car (thousands) 132 110 135 162 175 171 164 164 170 160 167 159 172 194 181 131 204 255 223 222KEY kWh = kilowatt hour U = data are not available

SOURCESNumber of locomotives and cars1975ndash80 Amtrak State and Local Affairs Department personal communication1985ndash2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2001ndash06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in earlier editionsMiles traveledTrain-miles 1975ndash2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003ndash06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in earlier editionsCar-miles1975 Association of American Railroads Yearbook of Railroad Facts 1975 (Washington DC 1976) p 401980ndash85 Amtrak State and Local Affairs Department and Public Affairs Department personal communication 1990ndash2000 Ibid Amtrak Corporate Reporting Route Profitability System personal communication Aug 22 20012001ndash06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in earlier editionsLocomotive fuel consumed1975ndash2000 Amtrak State and Local Affairs Department personal communication

Table 4-19 US Government Energy Consumption by Agency and Source (Trillion Btu)Petroleum

Motor gasoline Fuel oil

Jet fuel and aviation gas Otherc Total Electricity Natural gas

Coal and otherd Total

FY 1997 total 267 1624 5132 216 7240 1829 1571 422 11061Agriculture 43 04 01 02 50 20 15 03 89Defense 33 1489 5048 03 6704 1013 979 300 8996Energy 10 17 03 133 34 175 166 69 444GSA 01 02 00 00 03 92 34 15 143Health and Human Services 00 16 01 01 17 25 24 00 66Interior 08 07 00 06 17 14 13 01 50Justice 27 05 13 00 40 35 43 03 121NASA 01 05 10 00 16 68 30 02 118Postal Service 123 28 00 00 160 152 74 05 382Transportation 05 10 48 69 132 50 14 01 197Veterans Affairs 06 13 00 00 19 91 142 15 268Othera 11 29 09 01 50 94 36 07 187

FY 2006 total (R) 478 2078 (R) 4432 47 (R) 7035 (R) 1949 (R) 1320 (R) 412 (R) 10715Agriculture 22 04 00 02 29 20 17 (R) 03 68Defense 173 1913 (R) 4364 22 6472 1017 686 (R) 262 8437Energy 08 (R) 15 01 02 (R) 26 (R) 167 (R) 60 (R) 76 (R) 329GSA 00 01 00 00 02 99 64 (R) 17 (R) 182Health and Human Services 03 04 00 01 08 29 51 (R) 04 93Interior 21 12 01 10 44 23 13 (R) 01 81Justice 47 10 02 01 59 61 107 (R) 08 235NASA (R) 01 04 (R) 07 01 (R) 13 (R) 54 (R) 29 (R) 06 (R) 102Postal Service 134 (R) 28 00 02 (R) 165 (R) 250 (R) 98 (R) 05 (R) 518Transportation 04 02 05 00 12 27 07 (R) 01 46Veterans Affairs 08 12 00 00 20 104 151 (R) 18 293Otherb 56 72 (R) 52 05 185 (R) 99 38 (R) 10 (R) 332

FY 2007P total 474 2232 4615 66 7388 1938 1308 370 11004Agriculture 21 05 01 03 30 19 16 02 68Defense 178 1941 4557 31 6706 1012 695 233 8646Energy 07 16 00 04 27 173 62 62 323GSA 00 01 00 00 02 100 72 17 191Health and Human Services 09 06 00 01 17 33 51 04 106Interior 20 11 00 09 41 21 12 01 75Justice 37 121 01 10 169 60 105 08 342NASA 01 04 10 01 16 55 27 08 106Postal Service 129 31 00 04 165 225 65 04 458Transportation 04 06 05 00 15 32 08 00 56Veterans Affairs 08 12 00 00 20 107 155 19 301Otherb

59 79 41 02 181 101 40 10 332KEY Btu = British thermal unit FY = fiscal year GSA = General Services Administration NASA = National Aeronautics and Space Administration R = Revised P = preliminary

a Includes US Department of Commerce Panama Canal Commission Tennessee Valley Authority US Department of Labor National Science Foundation US Department of Housing and Urban Development Federal Communications Commission Office of Personnel Management US Department of State US Department of the Treasury Small Business Administration and Environmental Protection Agency

b Includes National Archives and Records Administration US Department of Commerce Tennessee Valley AuthorityUS Department of Labor National Science Foundation Federal Trade Commission Federal Communications Commission Environmental Protection Agency US Department of Homeland Security US Department of Housing and Urban Development Railroad Retirement Board Equal Employment Opportunity Commission Nuclear Regulatory Commission US Department of State US Department of the Treasury Office of Personnel Management Consumer Product Safety Commission Central Intelligence Agency Social Security Administration and US information Agency (International Broadcasting Bureau) c Includes liquefied petroleum gasesd Includes purchased steam chilled water from district heating and cooling systems and any other energy type such as renewable energy

NOTESNumbers may not add to totals due to roundingThese data include energy consumed at foreign installations and in foreign operations including aviation and ocean bunkering primarily by the US Department of Defense US government energy use for electricity generation and uranium enrichment is excluded Other energy used by US agencies that produce electricity or enriched uranium is included The US governments fiscal year runs from October 1 through September 30 Data in this table are prepared using the following conversion factors - electricity 3412 Btukilowatt-hour purchased steam 1000 Btupound coal 24580 million Btushort ton natural gas 1031 Btucubic foot aviation gasoline 5250 million Btubarrel fuel oil 58254 million Btubarrel Jet fuel 5460 million Btubarrel liquefied petroleum gas 4011 million Btubarrel and motor gasoline 5250 million Btubarrel

SOURCEUS Department of Energy Energy Information Administration Annual Energy Review 1997 and 2007 table 113 available at httpwwweiadoegovemeuaer as of December 2008

Section CTransportation Energy

Intensity and Fuel Efficiency

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air certificated carrierDomestic operations 8633 10118 10185 7746 5742 5047 4932 4671 4564 4558 4444 4382 4183 4166 4123 4049 3883 3890 3596 (R) 3496 (R) 3410 (R) 3222 3098International operations 9199 10292 10986 8465 4339 5103 4546 4609 4258 4099 4145 4173 4108 4168 4278 4123 3833 3965 3920 (R) 4178 (R) 3888 (R) 3813 3691Highwaya

Passenger car 4495 4455 4841 4743 4348 4269 3811 3654 3703 3785 3771 3721 3688 3657 3637 3672 3589 3597 3600 3570 3509 (R) 3585 3525Other 2-axle 4-tire vehicle N N 6810 6571 5709 4971 4539 4277 4256 4275 4345 4538 4541 4564 4569 4612 4509 3985 4121 4452 4452 (R) 4077 4016Motorcycle b b 2500 2354 2125 1896 2227 1917 1990 2063 2135 2274 2271 2273 2273 2273 2273 2049 1969 1969 1969 (R) 1784 1754Transit motor bus N N N N 2742 3389 3723 3767 4038 3944 4162 4155 4196 4228 4133 4044 4147 3698 3550 3514 3572 3393 3262Amtrak N N N 2383 2148 2089 2066 1978 2035 2023 1935 1838 2153 2200 2138 2107 2134 2100 U U U U UKEY Btu = British thermal unit N = data do not exist R = revised U = data are not available

a For 1995 and subsequent years highway passenger-miles were taken directly from Highway Statistics rather than derived from vehicle-miles and average occupancy as is the case for 1960-1994

AmtrakAmtrak State and Local Affairs Department personal communication Apr 21 2008

1960-80 Air Transport Association Internet site httpwwwairlinesorg as of Aug 30 2004

1985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)

Transit motor busAmerican Public Transportation Association 2008 Public Transportation Fact Book Historical Tables (Washington DC Annual issues) tables 2 and 28 and similar tables in earlier editions

Passenger car1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

b Included in passenger carNOTE

Fuel consumed

To calculate total Btu multiply fuel consumed (see tables 4-21 4-22 4-24 4-25) by 135000 Btugallon for air carrier 125000 Btugallon for passenger car other 2-axle 4-tire vehicle and motorcycle 138700 Btugallon for transit motor bus and Amtrak diesel consumption and 3412 BtuKwH for Amtrak electric consumptionSOURCESAirCertificated air carriersPassenger-miles

Table 4-20 Energy Intensity of Passenger Modes (Btu per passenger-mile)

Motorcycle1970-85 Ibid Highway Statistics Summary to 1985 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1990-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information available at httpwwwbtsgovoaifuelfuelyearlyhtml as of Mar 27 2008Highway

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Aircraft-miles (millions)Domestic operations 858 1134 2068 1948 2523 3046 3963 3854 3995 4157 4380 4629 4811 4911 5035 5332 5664 5548 5616 6085 6591 (R) 6556 6511International operations 182 284 475 377 401 415 760 807 904 961 980 998 1043 1114 1192 1225 1282 1266 1225 1262 1403 (R) 1326 1428Available seat-miles (millions)Domestic operations 52220 94787 213160 241282 346028 445826 563065 543638 557989 571489 585438 603917 626389 651918 662313 699330 727033 695200 676949 689065 741674 (R) 752125 742461International operations 13347 29533 51960 61724 86507 101963 170310 171561 194784 200151 198893 203160 208682 228689 237538 242981 254048 235311 215606 204755 229788 (R) 251580 266725Passenger-miles (millions)Domestic operations 30557 51887 104147 131728 200289 270584 340231 332566 347931 354177 378990 394708 425596 450612 463262 488357 516129 486506 482310 505158 557893 (R) 584996 591834International operations 8306 16789 27563 31082 54363 65819 117695 115389 130622 135508 140391 145948 153067 169356 172255 180269 192798 178343 171860 168605 194173 (R) 211529 220138Fuel consumed (million gallons)Domestic operations 1954 3889 7857 7558 8519 10115 12323 11506 11763 11959 12384 12672 13217 13563 13335 14402 14845 14017 12848 12959 (R) 13623 13789 13458International operations 566 1280 2243 1949 1747 2488 3909 3940 4120 4113 4279 4443 4618 4915 4923 5250 5475 5237 4991 4836 (R) 4932 (R) 5521 5827Seats per aircraftDomestic operations 609 836 1031 1239 1371 1464 1421 1411 1397 1375 1337 1305 1302 1327 1315 1312 1284 1253 1205 1132 1125 (R) 1147 1140International operations 733 1040 1094 1637 2157 2457 2241 2126 2155 2083 2030 2036 2001 2053 1993 1984 1982 1859 1761 1623 1637 (R) 1897 1868Seat-miles per gallonDomestic operations 27 24 27 32 41 44 46 47 47 48 47 48 47 48 50 49 49 50 53 53 (R) 54 (R) 55 55International operations 24 23 23 32 50 41 44 44 47 49 46 46 45 47 48 46 46 45 43 42 (R) 47 (R) 46 46Energy intensity (Btupassenger-mile)Domestic operations 8633 10118 10185 7746 5742 5047 4890 4671 4564 4558 4411 4334 4193 4063 3886 3981 3883 3890 3596 3463 (R) 3296 (R) 3182 3070International operations 9199 10292 10986 8465 4339 5103 4484 4609 4258 4098 4114 4109 4073 3918 3858 3932 3833 3965 3920 3872 (R) 3429 (R) 3523 3574Load factor (percent)Domestic operations 585 547 489 546 580 607 604 612 624 620 647 654 679 691 699 698 710 691 703 726 744 (R) 773 790International operations 622 568 530 504 628 646 691 673 671 676 706 718 733 741 725 742 759 728 766 765 791 (R) 794 799

Seats per aircraft seat-miles per gallon and energy intensiveness

KEY Btu = British thermal unit R = revised

1980-2006 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Apr 25 2007

Passenger-miles includes all four air-carrier groups scheduled and charter passenger service onlyInternational operations include operations outside the United States including those between the United States and foreign countries and the United States and its territories or possessions

1985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)

Heat equivalent factor used for Btu conversion is 135000 Btugallon

Table 4-21 Energy Intensity of Certificated Air Carriers All Servicesa

Derived by calculation

a US owned carriers only Operation of foreign-owned carriers in or out of the United States not included

NOTES

SOURCES

Aircraft-miles available seat-miles passenger-miles and load factor

Fuel consumed

1960-80 Air Transport Association Internet site httpwwwair-transportorgpublicindustry as of July 31 2002

Aircraft-miles includes all four air-carrier groups (majors nationals large regionals and medium regionals) scheduled and charter passenger and all-cargo Fuel consumed includes majors nationals and large regionals scheduled and charter passenger and all-

1960-75 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovoaifuelfuelyearlyhtml as of July 21 2004

Table 4-22 Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006

Vehicle-miles (millions) Passenger car 587000 723000 917000 1034000 1112000 1247000 1408000 1358000 1372000 1375000 1406000 1438000 1470000 1503000 1550000 1569000 1600287 1628332 1658474 1672079 1699890 1708421 1682671Other 2-axle 4-tire vehicle N N 123000 201000 291000 391000 575000 649000 707000 746000 765000 790000 817000 851000 868000 901000 923059 943207 966034 984094 1027164 1041051 1089013Motorcycle b b 3000 5600 10200 9100 9600 9200 9600 9900 10200 9800 9900 10100 10300 10600 10469 9639 9552 9577 10122 10454 12401Passenger-miles (millions)a

Passenger car 1145000 1395000 1751000 1954000 2012000 2094000 2282000 2200000 2208000 2213000 2250000 2287000 2337000 2389000 2464000 2495000 2544457 2556481 2620389 2641885 2685827 2699305 2658621Other 2-axle 4-tire vehicle N N 226000 363000 521000 688000 1000000 1117000 1202000 1253000 1269000 1256000 1298000 1353000 1381000 1433000 1467664 1678853 1674792 1706103 1780771 1804848 1887997Motorcycle b b 3000 6000 12000 12000 12000 12000 12000 12000 12000 11000 11000 11000 11000 12000 11516 11760 12131 12163 12855 13277 15750Average occupancy ratePassenger car 195 193 191 189 181 168 162 162 161 161 160 159 159 159 159 159 159 157 158 158 158 158 158Other 2-axle 4-tire vehicle N N 184 181 179 176 174 172 170 168 166 159 159 159 159 159 159 178 173 173 173 173 173Motorcycle b b 100 107 118 132 125 130 125 121 118 112 111 109 107 113 110 122 127 127 127 127 127Fuel consumed (million gallons)Passenger car 41171 49723 67819 74140 69982 71518 69568 64317 65436 67048 67874 68072 69221 69892 71695 73283 73065 73559 75471 75455 75402 77419 74983Other 2-axle 4-tire vehicle N N 12313 19081 23796 27363 35611 38217 40929 42851 44112 45605 47354 49388 50462 52859 52939 53522 55220 60758 63417 58869 60662Motorcycle b b 60 113 204 182 191 184 191 198 205 196 198 202 206 212 209 193 191 192 202 189 220Energy intensity (Btupassenger-mile)c

Passenger car 4495 4455 4841 4743 4348 4269 3811 3654 3704 3787 3771 3721 3702 3657 3637 3671 3589 3597 3600 3570 3509 3585 3525Other 2-axle 4-tire vehicle N N 6810 6571 5709 4971 4451 4277 4256 4275 4345 4539 4560 4563 4568 4611 4509 3985 4121 4452 4452 4077 4016Motorcycle b b 2500 2354 2125 1896 1990 1917 1990 2063 2135 2227 2250 2295 2341 2205 2273 2049 1969 1969 1969 1779 1746KEY Btu = British thermal unit N = data do not exist R = revised

b Included in passenger carc Energy Intensity (Btupassenger-mile) is calculated by converting the fuel consumption in gallons to the energy equivalent Btu units and dividing by the passenger-miles heat equivalent factor used for Btu conversion is 125000 Btusgallon

NOTES In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle type categories for 1993 and later data These new categories include passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Other 2-axle 4-tire vehicle includes vans pickup trucks and sport utility vehicles In previous years some minivans and sport utility vehicles were included in the passenger car category Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the closest available categoryVehicle-miles and passenger-miles data for 1960 through 1999 have been rounded to the nearest billion miles

SOURCESVehicle-milesPassenger car1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201AMotorcycle1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201AFor 1970-94 the unrevised motorcycle vehicle-miles are subtracted from the combined passenger car and motorcycle vehicle-miles from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Passenger-miles 1960-97 Vehicle-miles multiplied by vehicle occupancy rates1998-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Fuel consumed

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201AFor 1970-94 the unrevised motorcycle fuel consumed is subtracted from the combined passenger car and motorcycle fuel consumed from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008Average US passenger car fuel efficiency (mpg) (calendar year)Passenger cara 160 175 203 212 210 206 208 211 212 215 216 214 219 221 220 222 225 (R) 221 224 U UOther 2-axle 4-tire vehicle 122 143 161 170 173 174 173 173 172 172 172 170 174 176 175 162 162 (R) 177 180 U UNew vehicle fuel efficiency (mpg)b (model year)Light-duty vehicle

Passenger car 243 276 280 284 279 284 283 286 285 287 288 283 285 288 290 295 295 303 (R) 301 312 312Domestic 226 263 269 273 270 278 275 277 281 278 286 280 287 287 291 291 299 305 (R) 303 (R) 306 310Imported 296 315 299 301 292 296 297 303 296 301 292 290 283 290 288 299 287 299 297 321 314

Light truck (lt8500 lbs GVWR)c 185 207 208 213 208 210 208 205 208 206 210 209 213 209 214 218 215 221 225 231 234CAFE standards (mpg)b (model year)Passenger car 200 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275Light truck d160140 195 200 202 202 204 205 206 207 207 207 207 207 207 207 207 207 210 216 222 225

Table 4-23 Average Fuel Efficiency of US Passenger Cars and Light Trucks

SOURCESAverage US passenger car fuel efficiency

1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from httpwwwfhwadotgovohimohimstathtm as of Aug 2 2001)

KEY CAFE = Corporate Average Fuel Economy GVWR = gross vehicle weight rating mpg = miles per gallon R = revised U = data are not available

a From 1980 to 1994 passenger car fuel efficiency includes motorcyclesb Assumes 55 city and 45 highway-miles The source calculated average miles per gallon for light-duty vehicles by taking the reciprocal of the sales-weighted average of gallons per mile This is called the harmonic average c Beginning with FY 1999 the total light truck fleet ceased to be categorized by either domestic or import fleetsd 2 Wheel Drive4 Wheel Drive No combined figure available for this year

New vehicle fuel efficiency (based on model year production) and CAFE standardsUS Department of Transportation National Highway Traffic Safety Administration Summary of Fuel Economy Performance (Washington DC Annual Issues) available at httpwwwnhtsadotgovportalsitenhtsamenuitem43ac99aefa80569eea57529cdba046a0 as of Sep 17 2008

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

NOTE

The fuel efficiency figures for light duty vehicles represent the sales-weighted harmonic average of the combined passenger car and light truck fuel economies

Table 4-24 Energy Intensity of Transit Motor Buses 1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Vehicle-miles (millions) 1576 1528 1409 1526 1677 1863 2130 2167 2178 2210 2162 2184 2221 2245 2175 2276 2315 2377 2411 2421 2471 (R) 2485 2495Passenger-miles (millions) N N N N 21800 21200 20981 21090 20336 20247 18832 18818 19096 19604 20360 21205 21241 22022 21841 21262 21377 21825 (P) 22821Fuel consumed (million gallons diesel) 208 248 271 365 431 518 563 573 592 576 565 564 578 598 607 618 635 587 559 539 550 534 537Energy intensity (Btu passenger-mile) N N N N 2742 3389 3723 3767 4038 3944 4162 4155 4196 4228 4133 4044 4147 3698 3550 3514 3572 (R) 3392 3262KEY Btu = British thermal unit N = data do not exist P= Preliminary R = Revised

NOTEHeat equivalent factor used for Btu is 138700 Btugallon

SOURCEAmerican Public Transportation Association 2008 Public Transportation Fact Book (Washington DC 2007) tables 6 10 28 and similar tables in earlier editions available at httpwwwaptacom as of December 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Revenue freight ton-miles (millions) 572309 697878 764809 754252 918958 876984 1033969 1038875 1066781 1109309 1200701 1305688 1355975 1348926 1376802 1433461 1465960 1495472 1507011 1551438 1662598 1696425 1771897Car-miles (millions) 28170 29336 29890 27656 29277 24920 26159 25628 26128 26883 28485 30383 31715 31660 32657 33851 34590 34243 34680 35555 37071 37712 38955Tons per car load 444 489 549 608 671 677 666 662 660 644 634 653 666 634 641 634 626 640 633 623 613 610 609Fuel consumed (million gallons) 3463 3592 3545 3657 3904 3110 3115 2906 3005 3088 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 4192Energy intensity (Bturevenue freight ton-mile) 839 714 643 672 589 492 418 388 391 386 385 370 366 368 361 359 350 344 343 342 339 335 328Energy intensity (Btucar-mile) 17051 16983 16450 18341 18495 17310 16516 15727 15952 15932 16234 15886 15652 15662 15218 15222 14836 15027 14918 14925 15187 15072 14926

Table 4-25 Energy Intensity of Class I Railroada Freight Service

Association of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 34 37 and 40 and similar tables in earlier editionsSOURCE

a Class I railroads are those that have operating revenues of $2894 million or more in 2004

KEY Btu = British thermal unit

The heat equivalent factor used for Btu conversion is 138700 BtugallonNOTE

Table 4-26 Energy Intensity of Amtrak Services1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Revenue passenger-miles (millions) 3931 4503 4785 6057 6273 6091 6199 5921 5545 5050 5166 5304 5330 5498 5559 5468 5680 5511 5381Locomotive fuel consumedTotal fuel consumed (billion Btu)a 9367 9673 9995 12512 12406 12328 12511 11457 10191 10875 11365 11341 11229 11735 11674 13952 13091 11920 11138Electric (millions of kWh)a 180 254 295 330 303 300 301 309 304 293 282 275 283 350 377 593 666 648 500Diesel (million gallons) 63 64 65 82 82 82 83 75 66 71 75 75 74 76 75 86 78 70 68Energy intensity (Bturevenue passenger-mile)a 2383 2148 2089 2066 1978 2024 2018 1935 1838 2153 2200 2138 2107 2134 2100 2551 2305 2163 2070KEY Btu = British thermal unit kWh = kilowatt hour U = data are not available

a Does not include electric power generation and distribution losses which if included would triple the electric conversion factor given below and increase the numbers in this row by about 20 percent

NOTEThe heat equivalent factors used in Btu conversion are diesel = 138700 Btugallon electric = 3412 BtukWh

SOURCESRevenue passenger-miles1975-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003-2005 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsLocomotive fuel consumed1975-2001 Ibid State and Local Affairs Department personal communication2001-05 Amtrak personal communication as of Dec 19 2007

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent RankMedium Akron OH 03 04 09 10 12 15 19 16 20 24 26 26 25 24 23 22 25 23 -7 79 783 26Medium Albany-Schenectady NY 04 05 09 09 10 10 11 12 12 13 15 16 18 19 22 24 28 28 61 5 691 33Medium Albuquerque NM 12 17 30 32 38 41 44 50 56 60 62 65 57 55 51 53 59 66 17 56 471 53Medium Allentown-Bethlehem PA-NJ 10 11 17 18 22 26 30 34 40 44 47 42 45 44 44 43 46 47 4 72 382 58Small Anchorage AK 05 06 06 06 06 06 06 06 07 07 07 07 07 08 09 09 09 08 13 63 66 85Very large Atlanta GA 100 151 248 284 334 398 476 529 577 648 721 753 799 823 880 903 927 961 20 48 856 25Medium Austin TX 14 24 37 42 41 46 56 67 80 92 92 104 111 129 129 135 140 155 40 28 1022 18Small Bakersfield CA 01 02 04 04 05 06 06 07 08 09 10 10 10 11 14 15 19 21 105 1 1804 3Large Baltimore MD 49 84 184 186 186 199 207 227 231 240 239 250 264 297 366 390 400 408 54 9 741 30Small Beaumont TX 02 02 02 03 03 03 03 04 04 04 05 06 06 06 07 07 08 08 45 24 339 63Medium Birmingham AL 12 17 21 23 26 31 38 41 46 51 62 65 65 66 70 76 81 82 27 39 610 42Very large Boston MA-NH-RI 109 163 289 297 330 338 349 353 368 403 444 450 460 482 536 536 601 625 36 30 474 51Small Boulder CO 01 02 02 03 03 04 04 05 05 06 05 06 06 06 05 06 06 06 2 74 330 66Medium Bridgeport-Stamford CT-NY 19 30 44 44 51 51 57 64 63 74 84 93 97 101 113 111 106 115 18 51 493 48Small Brownsville TX 00 00 01 01 01 01 01 02 02 02 02 03 03 03 04 04 04 04 33 36 935 20Large Buffalo NY 08 09 14 14 15 16 17 18 18 20 24 28 31 32 33 39 37 37 18 53 391 57Small Cape Coral FL 04 05 08 09 10 13 16 19 20 20 19 19 19 23 25 27 29 31 64 4 678 36Small Charleston-North Charleston SC 12 17 26 28 32 33 34 34 33 35 39 41 42 42 44 48 50 49 16 57 308 73Medium Charlotte NC-SC 10 19 32 34 39 37 38 39 47 60 69 82 99 108 125 130 143 143 45 22 1274 12Very large Chicago IL-IN 243 376 606 624 649 659 680 792 908 923 989 996 963 1007 1195 1250 1326 1416 47 19 482 49Large Cincinnati OH-KY-IN 14 25 62 67 78 92 111 114 123 146 152 152 161 158 165 177 173 174 8 67 1119 14Large Cleveland OH 14 15 42 48 51 63 72 90 97 113 106 113 106 93 87 85 97 88 -17 84 536 47Small Colorado Springs CO 03 03 05 06 08 09 12 14 15 20 24 30 35 37 37 37 34 44 25 41 1503 9Small Columbia SC 03 06 08 09 10 10 11 11 12 14 14 17 19 19 21 23 23 24 27 38 688 34Large Columbus OH 10 15 48 50 58 70 79 89 97 106 109 110 107 120 127 139 157 155 45 20 1511 8Small Corpus Christi TX 03 04 05 06 06 06 06 06 07 07 07 09 08 09 09 10 11 11 36 31 259 77Very large Dallas-Fort Worth-Arlington TX 71 136 263 294 314 348 368 390 415 460 528 605 639 664 714 786 922 1062 66 3 1395 11Medium Dayton OH 16 18 30 31 33 38 34 43 43 47 48 53 50 45 44 42 51 46 -8 80 195 81Large Denver-Aurora CO 58 77 100 117 129 157 176 213 242 268 290 320 343 363 351 364 380 425 24 42 628 40Very large Detroit MI 218 268 476 509 574 610 584 583 615 636 649 683 671 714 756 781 772 761 13 62 248 78Medium El Paso TX-NM 04 05 10 13 16 17 21 19 18 21 24 32 37 42 43 45 54 57 54 10 1518 7Small Eugene OR 03 03 04 04 04 04 04 04 04 06 06 08 10 08 09 10 09 11 14 60 301 74Medium Fresno CA 09 11 19 20 21 24 24 26 29 31 38 41 43 37 40 40 39 42 -2 77 338 64Medium Grand Rapids MI 05 08 16 17 23 30 29 27 29 32 38 40 39 40 40 41 44 44 12 64 760 28Medium Hartford CT 09 13 20 22 36 29 33 36 39 45 51 56 60 58 59 58 64 65 9 65 617 41Medium Honolulu HI 20 26 47 47 53 54 54 58 58 53 54 53 50 51 49 55 57 63 26 40 207 80Very large Houston TX 235 331 362 324 305 312 346 367 420 497 533 597 614 713 781 803 827 926 51 12 294 76Large Indianapolis IN 38 44 75 85 101 131 153 163 171 188 169 165 164 168 168 170 171 161 -2 76 323 68Medium Jacksonville FL 24 35 60 64 76 79 85 97 103 100 97 97 97 98 114 126 140 140 45 23 475 50

Table 4-27 Annual Wasted Fuel Due to CongestionPercent changea

Short-term 1998-2003

Long term 1982-2003Population

groupGallons wasted (millions)

Urban area

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent Rank

Table 4-27 Annual Wasted Fuel Due to CongestionPercent changea

Short-term 1998-2003

Long term 1982-2003Population

groupGallons wasted (millions)

Urban areaLarge Kansas City MO-KS 09 16 34 33 40 61 65 66 76 85 87 103 97 97 97 102 88 86 -11 82 877 24Small Laredo TX 00 01 01 01 01 01 02 02 03 04 04 05 05 06 05 07 07 07 43 26 1724 4Large Las Vegas NV 10 15 50 59 67 79 94 106 115 119 131 143 147 156 169 184 196 200 36 29 1835 2Small Little Rock AR 03 03 05 06 06 08 09 09 11 11 14 17 15 18 15 18 24 23 51 13 736 31Very large Los Angeles-Long Beach-Santa Ana CA 1239 1545 3143 3097 3088 2923 2800 2989 3104 3180 3207 3317 3311 3480 3574 3544 3718 3837 16 58 210 79Medium Louisville KY-IN 35 37 43 55 68 80 86 87 100 108 116 122 122 111 126 135 148 144 19 50 315 70Medium Memphis TN-MS-AR 11 12 34 35 39 46 56 63 67 71 74 74 79 84 87 95 101 92 17 54 746 29Very Large Miami FL 131 173 372 369 426 425 456 501 524 559 593 694 775 838 893 958 1008 1052 36 32 702 32Large Milwaukee WI 23 32 64 69 80 82 79 88 90 92 98 111 112 108 109 108 111 108 -3 78 369 59Large Minneapolis-St Paul MN 27 52 115 119 146 177 215 237 248 316 345 371 368 401 379 384 385 418 14 61 1438 10Medium Nashville-Davidson TN 27 28 46 45 44 46 63 69 72 82 78 88 95 103 118 131 134 135 42 27 402 56Medium New Haven CT 05 08 12 13 16 19 20 21 21 26 31 36 37 42 43 43 38 42 15 59 681 35Large New Orleans LA 41 56 60 63 60 60 66 67 63 68 71 74 67 65 66 67 66 69 3 73 70 84Very large New York-Newark NY-NJ-CT 372 472 949 921 926 992 1097 1224 1305 1472 1531 1735 1633 1634 1735 1943 2245 2420 48 17 550 45Large Oklahoma City OK 08 13 18 22 23 27 27 39 44 51 53 62 57 65 68 63 63 62 9 66 665 38Medium Omaha NE-IA 07 10 20 21 26 26 30 31 34 33 39 42 44 49 53 53 54 53 22 43 667 37Large Orlando FL 26 48 113 133 138 139 151 165 182 207 223 233 243 266 261 257 258 260 7 68 894 23Medium Oxnard-Ventura CA 05 10 19 20 25 28 37 39 45 41 43 53 54 63 67 71 78 84 54 11 1534 6Small Pensacola FL-AL 03 03 08 07 09 10 10 12 15 17 17 18 18 19 21 23 25 27 48 18 931 21Very large Philadelphia PA-NJ-DE-MD 163 199 285 289 319 310 328 347 374 419 482 502 495 571 623 658 681 709 43 25 336 65Very Large Phoenix AZ 117 132 180 187 212 214 223 218 263 283 307 365 393 440 415 446 485 589 50 15 404 55Large Pittsburgh PA 44 49 81 80 76 75 75 89 89 89 85 94 88 92 95 93 96 92 5 69 110 83Large Portland OR-WA 34 39 78 84 105 115 121 139 159 176 182 200 200 206 199 213 225 240 20 47 600 44Large Providence RI-MA 09 11 27 29 32 37 39 41 51 52 69 80 86 95 103 115 119 117 36 33 1181 13Medium Raleigh-Durham NC 07 13 32 32 32 39 44 48 52 62 62 68 76 82 94 99 108 117 55 8 1579 5Medium Richmond VA 10 11 22 24 28 30 38 47 50 46 45 45 43 47 50 57 63 64 50 16 549 46Large Riverside-San Bernardino CA 13 27 117 139 147 149 131 150 164 162 188 209 214 222 249 293 367 396 85 2 2916 1Medium Rochester NY 04 06 10 11 12 12 13 15 15 17 15 17 18 18 18 20 24 24 34 34 472 52Large Sacramento CA 29 45 124 129 125 124 141 140 159 151 163 175 186 204 219 247 277 292 57 6 914 22Small Salem OR 01 01 03 04 05 06 06 06 06 06 07 08 09 11 11 10 10 10 21 45 985 19Medium Salt Lake City UT 13 22 39 46 55 65 78 85 85 83 79 86 94 102 109 114 99 93 -1 75 604 43Large San Antonio TX 17 34 39 39 47 49 55 71 86 98 118 147 171 159 164 171 201 204 20 49 1117 15Large San Diego CA 60 106 306 298 326 318 311 324 352 362 392 472 490 546 615 605 724 711 45 21 1086 17Very large San Francisco-Oakland CA 226 432 721 677 690 709 670 730 756 714 771 788 833 818 874 895 933 1005 21 46 345 62Large San Jose CA 87 151 243 249 232 220 236 260 262 256 280 327 333 345 338 344 321 347 4 70 297 75Medium Sarasota-Bradenton FL 11 18 20 23 23 26 27 26 31 34 35 41 40 42 44 47 51 53 33 35 369 60Large Seattle WA 63 122 326 354 378 405 416 433 439 478 487 488 463 454 465 507 506 547 18 52 768 27Small Spokane WA 02 03 05 06 08 10 11 09 09 10 11 11 11 10 10 10 10 09 -19 85 329 67Medium Springfield MA-CT 09 10 13 14 16 17 16 17 17 17 19 21 21 20 22 21 22 25 17 55 166 82Large St Louis MO-IL 55 75 92 90 109 150 196 237 243 260 263 279 277 254 257 242 234 233 -16 83 322 69Large Tampa-St Petersburg FL 86 105 155 181 185 197 204 216 218 213 223 235 234 265 292 311 356 353 50 14 308 72Medium Toledo OH-MI 02 03 06 06 07 09 13 18 20 22 25 27 29 29 28 26 30 26 -9 81 1102 16

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent Rank

Table 4-27 Annual Wasted Fuel Due to CongestionPercent changea

Short-term 1998-2003

Long term 1982-2003Population

groupGallons wasted (millions)

Urban areaMedium Tucson AZ 26 30 38 37 39 40 39 41 44 57 61 63 67 74 81 95 95 105 56 7 310 71Medium Tulsa OK 09 18 25 24 25 26 26 30 38 40 42 43 46 50 52 54 48 48 4 71 412 54Large Virginia Beach VA 37 55 79 78 78 82 99 115 135 145 153 162 141 158 168 169 167 171 21 44 356 61Very large Washington DC-MD-VA 124 248 420 470 556 585 614 637 690 688 676 726 707 776 837 889 903 909 29 37 634 39NA 437-Area Average 13 18 32 33 34 37 38 42 45 50 53 56 57 60 64 62 64 66 15 NA 411 NANA 85-Area Average 54 76 139 142 151 156 163 176 188 200 211 226 228 240 254 265 282 296 29 NA 445 NANA Very Large Area Average 244 339 617 621 650 659 672 721 768 811 851 907 911 958 1020 1064 1132 1201 32 NA 393 NANA Large Area Average 32 48 93 99 106 116 126 140 150 160 169 185 188 198 207 215 228 234 24 NA 621 NANA Medium Area Average 12 16 25 27 31 34 38 41 45 49 52 56 58 60 65 68 71 73 27 NA 527 NANA Small Area Average 03 04 06 06 07 08 09 09 10 11 12 13 14 15 15 16 17 18 32 NA 536 NA

Small urban areas - less than 500000 population

a Percent changes were calculated using the numbers in this table and were not obtained from the source Rank is based on the calculated percent change with the highest number corresponding to a rank of 1

The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobilityMethodology and data sources have been changed in 2007 and applied retroactively to past years these figures are not comparable to those in past editions of NTS SOURCE

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Dec 5 2007

KEY NA = not applicable NM = not meaningfulVery large urban areas - over 3 million populationLarge urban areas - over 1 million and less than 3 million populationMedium urban areas - over 500000 and less than 1 million population

NOTESWasted fuel is the difference between the fuel consumed under estimated existing conditions and the fuel consumed under free-flow conditions Previous editions of this table were calculated on the basis of total fuel consumed during congested trips Calculations are made for peak period speeds and for free-flow speeds on both the freeway and principal arterial systems For a more detailed description of the formulas used see the source document

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent RankAkron OH Med 1 2 4 4 5 6 7 6 8 9 9 9 9 8 8 7 8 7 -222 82 6000 11Albany-Schenectady NY Med 2 2 4 4 4 4 5 5 5 5 6 6 7 7 8 9 10 10 429 3 4000 20Albuquerque NM Med 6 8 13 13 15 16 17 19 20 21 22 22 19 18 17 17 19 21 105 41 2500 45Allentown-Bethlehem PA Med 5 6 7 7 9 10 12 13 14 15 16 14 14 14 14 13 14 14 00 55 1800 56Anchorage AK Sml 6 6 5 5 6 5 5 5 5 5 6 6 6 6 6 6 6 5 -167 77 -167 85Atlanta GA Vlg 16 23 28 31 34 39 44 47 50 52 54 53 52 51 50 47 46 44 -154 76 1750 59Austin TX Med 8 12 15 16 15 16 19 22 25 26 25 27 28 31 29 30 31 33 179 30 3125 38Bakersfield CA Sml 1 1 3 3 3 4 4 4 5 5 5 5 5 5 6 6 8 8 600 1 7000 5Baltimore MD Lrg 7 11 21 20 20 20 21 22 22 23 22 23 23 25 30 31 31 32 391 9 3571 28Beaumont TX Sml 2 3 2 3 3 3 3 3 4 4 4 5 5 6 6 6 6 7 400 7 2500 45Birmingham AL Med 5 6 7 8 9 10 12 13 14 15 19 19 19 19 20 21 22 22 158 35 3400 33Boston MA-NH-RI Vlg 7 10 17 17 19 19 20 20 20 22 23 24 24 25 27 27 30 31 292 17 3429 31Boulder CO Sml 4 5 6 6 7 9 8 9 9 10 10 10 10 10 9 9 9 9 -100 71 1250 68Bridgeport-Stamford CT-NMed 6 10 13 13 15 15 16 18 17 20 22 23 23 23 25 24 23 24 43 50 3000 39Brownsville TX Sml 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 4 4 00 55 3000 39Buffalo NY Lrg 2 2 4 3 3 4 4 4 4 4 5 6 6 6 6 7 7 7 167 31 2500 45Cape Coral FL Sml 5 5 7 8 9 11 13 15 16 15 13 13 12 13 13 14 14 14 167 31 1800 56Charleston-North CharlesSml 9 11 15 15 17 17 17 17 16 16 18 18 18 17 18 19 20 19 56 49 1111 70Charlotte NC-SC Med 7 12 16 16 16 15 15 15 17 20 22 25 28 29 30 30 31 31 107 40 3429 31Chicago IL-IN Vlg 9 13 20 20 20 20 20 22 25 24 25 25 24 24 28 29 30 32 333 12 2556 44Cincinnati OH-KY-IN Lrg 3 5 12 12 14 16 18 18 18 21 21 20 20 19 19 20 19 19 -50 67 5333 13Cleveland OH Lrg 2 2 5 6 6 8 9 10 11 13 12 12 11 10 9 9 10 9 -182 78 3500 29Colorado Springs CO Sml 2 3 4 4 5 6 7 8 8 10 11 13 15 15 15 14 13 16 67 47 7000 5Columbia SC Sml 2 4 6 6 7 6 6 6 7 7 7 8 9 9 9 10 10 10 111 38 4000 20Columbus OH Lrg 3 4 12 12 13 15 17 18 19 20 20 20 18 20 20 21 24 24 333 12 7000 5Corpus Christi TX Sml 3 3 4 4 5 4 4 4 4 5 5 5 5 6 5 6 6 6 200 25 1000 73Dallas-Fort Worth-ArlingtoVlg 7 11 17 19 19 21 21 22 22 23 25 28 28 28 29 31 35 40 429 3 4714 16Dayton OH Med 6 7 11 11 11 13 11 14 13 14 14 15 14 12 11 11 13 11 -214 81 833 80Denver-Aurora CO Lrg 10 12 14 16 17 20 21 24 26 28 29 31 32 31 29 29 30 33 31 53 2300 52Detroit MI Vlg 15 18 29 31 34 35 33 32 33 34 34 35 34 35 37 37 36 35 29 54 1333 67El Paso TX-NM Med 2 2 4 5 6 6 8 7 6 7 8 10 11 12 12 13 15 16 455 2 7000 5Eugene OR Sml 3 4 5 4 4 4 4 4 4 5 6 7 8 7 7 7 7 8 00 55 1667 60Fresno CA Med 6 6 9 9 9 10 10 10 11 11 14 15 15 13 13 12 12 12 -200 80 1000 73Grand Rapids MI Med 3 5 8 8 11 14 13 11 12 13 15 15 14 14 13 13 14 14 00 55 3667 24Hartford CT Med 3 4 5 6 9 7 8 9 9 11 12 13 13 13 13 12 13 14 77 43 3667 24Honolulu HI Med 8 10 16 15 17 16 16 17 17 15 15 15 14 14 13 15 15 16 143 36 1000 73Houston TX Vlg 20 27 23 21 19 20 21 22 24 28 29 31 31 35 37 37 38 42 355 11 1100 71Indianapolis IN Lrg 11 12 18 20 23 29 33 34 35 37 33 32 31 31 30 30 30 28 -97 70 1545 62Jacksonville FL Med 9 12 18 18 21 22 23 25 26 24 23 22 22 21 24 25 27 26 182 29 1889 54Kansas City MO-KS Lrg 2 3 7 6 7 10 10 10 12 13 13 15 13 13 12 12 11 10 -231 83 4000 20Laredo TX Sml 1 1 2 2 2 2 3 4 4 5 5 5 5 6 5 6 6 6 200 25 5000 14Las Vegas NV Lrg 6 7 16 18 18 20 22 23 23 22 23 24 22 23 24 25 26 27 227 19 3500 29Little Rock AR Sml 2 3 4 4 5 6 6 6 7 7 9 10 9 11 8 9 12 11 222 20 4500 17

Table 4-28 Annual Wasted Fuel Per Person

Urban AreaPopulation

groupGallons wasted

Percent changea

Short-term 2000-2005 Long term 1982-2005

Los Angeles-Long Beach Vlg 31 36 64 60 58 54 51 53 53 53 53 54 53 54 55 53 55 57 75 44 839 79Louisville KY-IN Med 11 11 12 15 18 20 22 22 25 26 28 28 28 25 27 28 31 29 36 52 1636 61Memphis TN-MS-AR Lrg 3 4 9 9 10 11 13 14 14 15 15 15 15 16 16 17 18 16 67 47 4333 19Miami FL Vlg 9 11 21 20 23 22 23 24 24 25 26 29 30 31 32 33 34 35 167 31 2889 41Milwaukee WI Lrg 4 6 11 11 13 13 13 14 14 14 15 16 16 15 14 14 14 14 -125 75 2500 45Minneapolis-St Paul MN Lrg 4 7 13 13 15 18 21 22 23 28 30 31 30 31 29 28 28 30 00 55 6500 10Nashville-Davidson TN Med 12 12 18 17 16 16 21 22 22 24 21 22 23 23 25 26 26 25 87 42 1083 72New Haven CT Med 3 4 6 6 8 9 9 9 8 10 12 14 14 15 15 15 13 14 00 55 3667 24New Orleans LA Lrg 10 13 13 13 12 12 13 13 12 13 13 13 12 11 11 11 11 11 -83 69 100 84New York-Newark NY-NJVlg 7 8 16 15 15 15 17 18 19 21 22 24 22 21 22 24 27 29 318 14 3143 37Oklahoma City OK Med 3 4 6 7 7 8 8 11 12 13 14 15 14 15 16 14 14 13 -71 68 3333 34Omaha NE-IA Med 3 4 8 8 11 10 11 11 12 11 13 13 14 15 16 16 16 15 71 45 4000 20Orlando FL Lrg 10 17 30 32 32 31 32 33 35 38 40 40 39 41 38 36 36 35 -103 74 2500 45Oxnard-Ventura CA Med 3 6 9 9 10 12 15 15 17 16 16 16 19 22 23 23 25 27 421 6 8000 2Pensacola FL-AL Sml 3 3 6 6 7 8 8 9 11 12 11 12 12 11 12 13 14 14 167 31 3667 24Philadelphia PA-NJ-DE-MVlg 10 11 15 15 16 15 16 16 17 18 20 20 19 21 22 23 23 24 263 18 1400 65Phoenix AZ Vlg 21 20 23 23 24 23 23 22 24 25 25 28 28 30 28 29 30 34 214 22 619 82Pittsburgh PA Lrg 6 7 11 11 10 10 9 11 11 10 10 10 10 10 10 9 10 9 -100 71 500 83Portland OR-WA Lrg 8 9 16 16 20 21 21 23 26 26 26 28 27 26 25 25 26 27 00 55 2375 51Providence RI-MA Lrg 2 2 5 6 6 7 7 7 9 9 11 13 14 15 16 17 18 17 214 22 7500 4Raleigh-Durham NC Med 4 7 14 13 13 14 16 16 17 19 18 19 19 20 22 21 22 23 211 24 4750 15Richmond VA Med 4 4 7 8 9 9 11 14 14 13 12 12 10 11 11 12 13 13 300 15 2250 53Riverside-San BernardinoLrg 4 7 22 24 25 24 21 23 25 24 27 28 28 27 29 32 39 40 429 3 9000 1Rochester NY Med 2 2 4 4 4 4 4 5 5 5 5 5 5 5 5 6 7 7 400 7 2500 45Sacramento CA Lrg 8 12 25 25 23 22 24 24 26 23 24 25 25 26 26 27 30 30 200 25 2750 42Salem OR Sml 1 2 4 5 6 7 7 7 7 7 7 8 8 10 10 9 8 8 00 55 7000 5Salt Lake City UT Med 5 7 11 12 15 17 20 21 20 19 17 19 20 21 22 23 19 18 -100 71 2600 43San Antonio TX Lrg 4 8 7 7 9 9 10 12 14 16 19 23 26 24 24 24 27 27 38 51 5750 12San Diego CA Lrg 8 13 30 27 29 27 26 26 28 28 29 34 34 37 40 39 46 44 294 16 4500 17San Francisco-Oakland CVlg 17 32 46 42 41 42 38 41 42 38 40 40 42 40 42 42 44 47 119 37 1765 58San Jose CA Lrg 16 27 39 37 34 31 32 35 34 32 34 38 38 39 37 38 35 38 00 55 1375 66Sarasota-Bradenton FL Med 8 12 10 11 10 12 11 11 13 13 13 15 14 14 15 15 15 15 71 45 875 77Seattle WA Vlg 8 14 33 34 35 36 36 36 36 38 37 36 34 32 31 32 32 34 00 55 3250 36Spokane WA Sml 2 3 4 5 6 7 7 6 6 6 6 7 7 6 6 5 5 5 -286 85 1500 63Springfield MA-CT Med 4 4 5 5 6 6 6 6 6 6 6 7 7 6 6 6 6 7 00 55 750 81St Louis MO-IL Lrg 7 9 11 10 12 16 21 25 25 26 26 27 26 23 23 21 20 20 -231 83 1857 55Tampa-St Petersburg FLLrg 15 16 20 23 23 24 24 25 24 23 24 24 23 25 27 28 29 28 217 21 867 78Toledo OH-MI Med 1 1 2 2 3 4 6 7 8 9 10 11 11 11 10 9 11 9 -182 78 8000 2Tucson AZ Med 13 15 16 15 15 14 13 14 14 18 18 18 19 20 21 24 24 26 368 10 1000 73Tulsa OK Med 5 7 8 8 8 8 8 8 10 11 11 11 11 12 12 12 11 11 00 55 1200 69Virginia Beach VA Lrg 8 11 13 13 12 13 15 17 19 20 21 22 18 20 20 20 20 20 111 38 1500 63Washington DC-VA-MD Vlg 10 18 27 29 33 34 35 36 39 38 36 38 36 39 40 42 43 43 194 28 3300 35437 Urban Area AverageAll 437 9 12 18 18 19 19 20 21 22 22 23 24 23 24 24 24 25 26 130 NA 1889 NA85 Urban Area Average All 85 10 13 22 22 22 22 23 24 25 26 26 27 27 27 28 28 30 31 148 NA 2100 NAVery Large Urban Area Vlg 14 18 29 28 29 28 28 30 31 31 32 33 32 33 34 35 36 38 188 NA 1714 NALarge Urban Area AveraLrg 7 7 9 9 10 12 13 15 16 16 17 18 19 20 21 22 22 24 263 NA 2429 NAMedium Urban Area AveMed 5 7 10 10 11 12 13 14 14 15 16 16 16 17 17 17 18 18 125 NA 2600 NASmall Urban Area AveraSml 3 4 5 6 6 7 7 7 8 8 8 9 9 9 10 10 10 10 111 NA 2333 NA

NOTESWasted fuel is the difference between the fuel consumed under estimated existing conditions and the fuel consumed under free-flow conditions The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobility

SOURCE

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Dec 5 2007

KEY NA = not applicable NM= not meaningfulVery large urban areas - over 3 million populationLarge urban areas - over 1 million and less than 3 million populationMedium urban areas - over 500000 and less than 1 million populationSmall urban areas - less than 500000 population

a Percent changes were calculated using the numbers in this table and were not obtained from the source Rank is based on the calculated percent

Section DAir Pollution

b

Table 4-29 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Vehiclesab

(Grams per mile)

Engine type and pollutant

Prior to controld

1968-1969

1970-1971 1972

1973-1974

1975-1976

1977-1979 1980 1981

1982-1986

1987-1993

Tier 1i

1994-2003bInterim Tier 2i

2004-2006Tier 2i 2007+

GasolineHC (total) 11 g 22 34 15 041 041 (h) h

NMHC e h 025 (031) h

NMOG e h 0125 (0156) 0100 (0125)CO 80 g 23 39 15 70 34 34 (42)Cold-tempCOc

e h 10 (h)

NOx 4 h 30 31 20 10 04 (06) 014 (020)Particulates e h 008 (010) 008 (008) 002 (002)Formaldehyde e h 0015 (0018)DieselHC (total) 11 h 15 041 041 (h) h

NMHC e h 025 (031) h

NMOG e h h (0156) 0100 (0125)CO 80 h 15 70 34 34 (42) h (42) 34 (42)NOx 4 h 31 20 10 10 (125) h (06) 014 (020)Particulates e h 060 020 008 (010) h (010) 002 (002)Formaldehyde e h h (0018) 0015 (0018)Test procedure 7-mode CVS-72 CVS-75

Useful life intermediate h 5 years50000 milesUseful life full 5 years50000 miles 10 years100000 miles 10 years120000 milesKEY CO = carbon monoxide CVS = constant volume sampler HC = hydrocarbons NMHC = non-methane hydrocarbons NMOG = nonmethane organic gases NOx = nitrogen oxides

a The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulations The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that the total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested under the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2000 these standards are not shown in this tableb All emissions standards must be met for a useful life of 5 years50000 miles Beginning with model year 1994 a second set of emissions standards must also be met for a full useful life of 10 years100000 miles these standards are shown in parentheses Tier 1 exhaust standards were phased-in during 1994-96 at a rate of 40 80 and 100 respectivelyc The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful life

d The Prior to control column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certification standards were implementede No estimate availablef Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and have either 1) intermediate useful life standards waived or 2) receive additional NOx creditsg In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this tableh No standard has been setI The term tier refers to a level of standards and is associated with specific years Interim Tier 2 refers to an intermediate level of standards that move manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulate matter HC and NMHC standards are dropped for Tier 2 and Interim Tier 2 Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weight corporate average NOx standard is met for the full useful life of the vehicle The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim sales-weighted average for light-duty vehicles (LDVs) is 93 gramsmile For LDVs Tier 2 standards will be phased in at a rate of 25 in 2004 50 in 2005 75 in 2006 and 100 in 2007 During this period all LDVs not meeting the Tier 2 standards must meet Interim Tier 2 standards

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

Engine type and

pollutant

Prior to

controlg

1968-

1969

1970-

1971 1972

1973-

1974 1975

1976-

1978

1979-

1981

1982-

1983 1984

1985-

1986 1987

1988-

1993

Gasoline

HC (total) 11 i 22 j R(080)j

NMHC h 025 (031) j

NMOG h0125 (0156) 0100 (0125)

CO 80 i 23 34 (42)

Cold-temp COd e 10 j

NOx 4 30 12 04 (06) 014 (020)

Particulates h 008 (010) 008 (008) 002 (002)

Formaldehyde h0015 (0018)

HC (total) 11 20 17 j (080)

NMHC h 025 (031)

NMOG h j(0156) 0100 (0125)

CO 80 20 34 (42) j(42) 34 (42)

NOx 4 31 12 10 (125) j (06) 014 (020)

Particulates h 008 (010) j (010) 002 (002)

Formaldehyde h j(0018) 0015 (0018)

LDT1 weight criterae

CVS-75CVS-727-mode

060

j

10

080

026

j

j

j

18

23

Diesel

18 10

080172034

j

j

j

39

31

20

j

23

10 years100000 miles11 years120000 miles5 years50000 miles

j 5 years50000 miles 5 years50000miles

Table 4-30a Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks (Category LDT1)abc

(Grams per mile)

KEY CO=carbon monoxide CVS = constant volume sampler GVWR=gross vehicle weight rating HC=hydrocarbons LVW=loaded vehicle weight NMHC=nonmethane hydrocarbons NMOG= nonmethane organic gases NOx=nitrogen oxides

Useful life full

Tier 1k 1994 1995-2003

GVWR up through 6000 lbs LVW up through 3750 pounds

Useful life intermediatecf

10 years 20000 miles

Tier 2k 2007+

GVWR up through 6000 pounds

Test procedure b

Interim Tier 2k

2004-2006

j

j

j

j

j

GVWR up through 8500 pounds

j

j

d The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifee GVWR is the maximum design loaded weight LVW is the curb weight (nominal vehicle weight) plus 300 pounds

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 pounds were classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to 8500 pounds GVWR During 1988-93 light duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT2 LDT3 and LDT4 are shown in tables 4-30b through 4-30d

b The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulation The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedurebecame the test procedure as of model year 1975 While it may appear that total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2000 Thesestandards are not shown in this table

c Emissions standards had to be met for a useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1994 emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life (full useful life standards are shown in parentheses)HC standards however were established only for full useful life Tier 1 exhaust standards except particulates standards were phased in during 1994-96 at a rate of 40 80 and 100 respectively Particulate matter standards were phased-in at a rate of 40 80 and 100 during 1995-97

f Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx creditsg The Prior to controls column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certification standard were implemented

k The term tier refers to a level of standards for specific years Interim Tier 2 refers to an intermediate level of standards that move manufacturerstoward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for the full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT1 vehicles is 03 gramsmile Tier 2 standards will be phased in at a rate of 25 in 2004 50 in 2005 75 in 2006 and 100 in 2007 During this period all LDT1 vehicles not meeting the Tier 2 standards must meet Interim Tier 2 standards

h No estimate availableI In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this j No standard has been set

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

- - - -

d

e

Table 4-30b Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks (Category LDT2)abc (Grams per mile)Engine typeand pollutant

Prior to controlg

19681969

19701971 1972

19731974 1975

6-197

9-198

1982-1983 1984

1985-1986 1987

8-199

19911993

Tier 1k 1994

Tier 1k 1995-2003

Interim Tier 2k 2004-2006 Tier 2k 2007+

GasolineHC (total) 11 e 22 34 20 17 080 j (080) j

NMHC h j j (040) j

NMOG h j 0125 (0156) 0100 (0125)CO 80 I 23 39 20 18 10 44 (55) 34 (42)Cold-temp CO h j 13 (j)

NOx 4 j 30 31 23 17 07 (097) 04 (06) 014 (020)Particulates h j 01 (010) 008 (008) 002 (002)Formaldehyde h j 0015 (0018)DieselHC (total) 11 j 20 17 080 j (080) j

NMHC h j 03 (040) j

NMOG h j j (0156) 0100 (0125)CO 80 j 20 18 10 44 (55) j (42) 34 (42)

NOx 4 j 31 23 17 j (097) j (06) 014 (020)Particulates h j 060 050 05 013 01 (010) j (010) 002 (002)Formaldehyde h j j (0018) 0015 (0018)

LDT2 weight criteriae GVWR up through 6000 poundsGVWR up through 8500

poundsGVWR up through 6000 pounds LVW over 3750 pounds

Test procedureb 7-mode CVS-72 CVS-75

Useful life intermediatec f j 5 years50000 miles 5 years50000milesUseful life full 5 years50000 miles 11 years120000 miles 10 years100000 miles 10 years120000 milesKEY CO=carbon monoxide GVWR=gross vehicle weight rating HC=hydrocarbons LVW=loaded vehicle weight NMHC=non-methane hydrocarbons NMHC=nonmethane hydrocarbons NMOG=nonmethane organic gases NOx=nitrogen oxides

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 pounds were classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to 8500 pounds GVWR During 1988-93 light-duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT1 LDT3 and LDT4 are shown in tables 4-30a 4-40c and 4-30db The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulation The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that thtotal HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2000 These standards are not shown in this tablec Emissions standards had to be met for a useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1994 emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life (full useful life standards are shown in parentheses) HC standards however were established only for full useful life Tier 1 exhaust standards except particulates standardswere phased-in during 1994-96 at a rate of 40 80 and 100 respectively Particulates standards were phased-in at a rate of 40 80 and 100 during 1995-97

dThe cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifeeGVWR is the maximum design loaded weight LVW is the curb weight (nominal vehicle weight) plus 300 pounds

f Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx credits

g The Prior to controls reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certification standards were implementedh No estimate available

i In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this tablej No standard has been setk The term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of standards that move manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for the full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT2 vehicles is 03 gramsmile Tier 2 standards will be phased in at a rate of 25 in 2004 50 in 2005 75 in 2006 and 100 in 2007 During this period all LDT2 vehicles not meeting the Tier 2 standards must meet Interim Tier 2 standards

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

- - - - -

c

Table 4-30c Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks (Category LDT3)abc (Grams per mile)

Engine type and pollutant

Prior to

controlg1968-1969

1970-1971 1972

1973-1974 1975

19761978

19791981

19821983 1984

1985-1986 1987

19881989 1990

19911995

Tier 1k

1996-2007Interim Tier 2

k 2008 Tier 2k 2009+GasolineHC (total) 11 I 22 34 20 17 080 j (080

)

j

NMHC h j 032 (046)

j

NMOG h j 0160 (0230) 0125 (0156)CO 80 i 23 39 20 18 10 44 (64) 34 42Cold-tempCOd

h j 125 (j)

NOx 4 j 30 31 23 23 17 07 (098) 04 (06) 014 (020)

Particulates h j j (010) 008 (008) 002 (002)

Formaldehyde h j 0018 (0027) 0015 (0018)DieselHC (total) 11 j 20 17 080 j (080

)

j

NMHC h j 032 (046)

j

NMOG h j j (0230) 0125 (0156)CO 80 j 20 18 10 44 (64) j 34 42NOx 4 j 31 23 23 17 j (098

)

j

(06) 014 (020)Particulates h j 060 050 045 013 j (010

)

j

(008) 002 (002)Formaldehyde h j j (0027) 0015 (0018)

LDT3 weight criteriae GVWR up through 6000 pounds GVWR up through 8500

poundsAny ALVW ALVW up through 5750 pounds

GVWR 6001-8500 pounds

Test procedureb 7-mode CVS-72 CVS-75

Useful life intermediate j 5 years50000 milesUseful life full 5 years50000 miles 11 years120000 miles

KEY ALVW=adjusted loaded vehicle weight CO = carbon monoxide GVWR=gross vehicle weight rating HC = hydrocarbons NMHC=nonmethane hydrocarbon NMOG=nonmethane organic gases NOx=nitrogen oxides

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 pounds were classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to 8500 pounds GVWR During 1988-93 light-duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT1 LDT2 and LDT4 are given in tables 4-30a 4-40b and 4-30d

b The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulation The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that the total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2002 These standards are not shown in this table

c Emissions standards had to be met for a full useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1996 emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life of 11 years120000 miles (intermediate and full useful life standards are shown in parentheses) This applied to all pollutants except HC and particulates for all LDT3 vehicles and NOx for diesel-powered LDT3 vehicles which were only required to meet full useful life standards Tier 1 exhaust standards were phased-in during 1996-97 at a rate of 50 and 100 respectively

d The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifee GVWR is the maximum design loaded weight ALVW is the numerical average of the GVWR and the curb weightf Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx creditsg The Prior to controls column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certifcation standards were implementedh No estimate available

i In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this table

j No standard has been set

k The term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of standards that moves manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT3 vehicles is 06 gramsmile Tier 2 LDT3 standards will be phased in during 2008 and 2009 In 2008 50 of LDT3 vehicles must meet Tier 2 standards the others must meet Interim Tier 2 standards Beginning in 2009 all LDT3 vehicles must meet Tier 2 standards

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

Engine type and pollutant

Prior to controlg

1968-1969

1970-

1971 1972

1973-1974 1975

1976-1978

1979-1981

1982-1983 1984

1985-1986 1987

1988-

1989 1990

1991-

1995

HC (total) 11 I 22 34 20 17 080 j (080) j

NMHC h j 04 (056) j

NMOG h j 0160 (0230) 0125 (0156)CO 80 i 23 39 20 18 10 50 (73) 44 (64) 34 (42)Cold-tempCOd

h j 13 (j)

NOx 4 j 30 31 23 23 17 11 (153) 04 (06) 014 (020)Particulates h j j (012) 008 (008) 002 (002)Formaldehyde h j 0018 (0027) 0015 (0018)

HC (total) 11 j 20 17 080 j (080) j

NMHC h j 04 (056) j

NMOG h j j (0230) 0125 (0156)CO 80 j 20 18 10 50 (73) j (64) 34 (42)NOx 4 j 31 23 23 17 j (153) j

(06) 014 (020)Particulates h j 060 050 05 01 j (012) j (008) 002 (002)Formaldehyde h j j (0027) 0015 (0018)

Any ALVW

7-mode CVS-72 CVS-75j

5 years50000 miles 11 years120000 milesKEY ALVW=adjusted loaded vehicle weight CO = carbon monoxide GVWR=gross vehicle weight rating HC = hydrocarbons NMHC=nonmethane hydrocarbon NMOG=nonmethane organic gases NOx=nitrogen oxides

Tier 2k 2009+

Diesel

Gasoline

Useful life full

LDT4 weight criteriae

GVWR 6001-8500 pounds

5 years50000 miles

ALVW over 5750 pounds

Table 4-30d Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks(Category LDT4)abc (Grams per mile)

Tier 1k

1996-2007Interim Tier 2k

2008

Test procedureb

Useful life intermediatec

GVWR up through 6000 pounds GVWR up through 8500 pounds

Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2002 These standards are not shown in this table

b The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulationThe 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that the total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 poundswere classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to8500 pounds GVWR During 1988-93 light-duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT1 LDT2 and LDT3 are given in tables 4-30a 4-40b and 4-30c

c Emissions standards had to be met for a full useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1996emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life of 11years120000 miles (intermediate and full useful life standards are shown in parentheses) This applied to all pollutants except HC and particulates for all LDT4 vehicles and NOx for diesel-powered LDT4 vehicles which were only required to meet full useful lifestandards Tier 1 exhaust standards were phased-in during 1996-97 at a rate of 50 and 100 respectively

d The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifee GVWR is the maximum design loaded weight ALVW is the numerical average of the GVWR and the curb weightf Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx credits

k The term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of standards that moves manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulate matter (HC and non-methane HC standards are dropped for Tier 2 and interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT4 vehicles is 06 gramsmile Tier 2 standards will be phased in during 2008 and 2009 In 2008 50 of LDT4 vehiclesmust meet Tier 2 standards the others must meet Interim Tier 2 standards Beginning in 2009 all LDT4 vehicles must meet Tier 2standards

g The Prior to control column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissionscertification standards were implementedh No estimate availablei In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatiblewith this tablej No standard has been set

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

Engine type and pollutant 2004 2008 2009+GasolineNMOG 0195 (0280) 0125 (0156)CO 50 (73) 34 (42)

Cold-temp COc 125

NOx 06 (09) 014 (020)Particulates 012 (012) 002 (002)Formaldehyde 0022 (0032) 0015 (0018)DieselHC 13 gbhp-hrNMHC + NOx 24 gbhp-hr

NMOG g (0280) 0125 (0156)CO 155 gbhp-hr g (73) 34 (42)

NOx 40 gbhp-hr g (09) 014 (020)

Particulates 010 gbhp-hr g (012) 002 (002)Formaldehyde g (0032) 0015 (0018)Smoke opacity (acceleration lugging peak)d 201550

Weight Criteria Greater than 8500 pounds GVWR less than 10000 pounds GVWRTest procedure gasoline CVS-75Test procedure diesel EPA Transient CVS-75

Useful life-gasoline intermediatebe 5 years50000 milesUseful life-gasoline full 11 years120000 miles

Useful life-diesel intermediatebe g 5 years50000 milesUseful life-diesel full 8 years110000 miles 11 years120000 miles

SOURCE

a The MDPV category was created for the Interim Tier 2 and Tier 2 vehicle emissions standards This category was specifically designed to help bring passenger vehicles (such as large sport utility vehicles and passenger vans) over 8500 pounds GVWR into the Tier 2 programMDPVs are defined as any complete heavy-duty vehicle less than 10000 pounds GVWR designed primarily for transportation of personsincluding conversion vans (ie vans which are intended to be converted to vans used primarily for transporting people) This does not include vehicles that have 1) a capacity of more than 12 persons total or 2) are designed to accommodate more than 9 persons seated rearward of the drivers seat or 3) have a cargo box (ie a pickup-bed or box) of six feet or more in interior length Prior to Tier 2 standards these vehicles would have been regulated as light heavy-duty trucks

Table 4-31 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Medium-Duty Passenger Vehicles (MDPV)ab

(Grams per mile)Interim Tier 2f Tier 2f

KEY CO = carbon monoxide gbhp-hr = grams per brake horsepowerhour GVWR = gross vehicle weight rating HC = hydrocarbons NMHC=nonmethane hydrocarbon NMOG = nonmethane organic gases NOx = nitrogen oxides

b Diesel MDPVs can continue to use light heavy-duty truck standards for new vehicle certification until 2008 Note that these standards are measured in grams per brake horsepower-hour (gbhp-hr) Beginning in 2008 MDPVs must use the same on-chassis testing procedure as heavy light-duty trucks (catgories LDT3 and LDT4) and must meet standards for MDPVs Beginning in 2009 MDPVs must meet the samestandards as light heavy-duty trucks except MDPVs are not required to meet Supplemental Federal Test Procedure standards

cThe cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a full useful life of 5-years50000-miles

d Smoke opacity is expressed as a percentage for acceleration lugging and peak operation modes Lugging occurs when a vehicle is carrying a loadeManufacturers can opt to certify vehicles for a useful life of 15 years150000 miles and have either 1) intermediate useful life standards waived or 2) receive additional NOx credits

fThe term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of stndards that moves manufacturers toward compliance with Tier 2 standards Tier 2 and interim Tier 2 standards are established as bins Each bin is a set of standards for NOxCO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certifyany given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOxstandard is met for full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for MDPVs is 06 gramsmile Tier 2 MDPV standards will be phased in during 2008 and 2009 In 2008 50 of MDPVs must meet Tier 2 standards the other 50 of MDPVs must meet interim Tier 2 standards Beginning in 2009 all MDPVs must meet Tier 2 standardsgDiesel MDPVs are not required to meet intermediate life standards during this time period

40 CFR 86 Subpart A (July 1 2000) Federal Register Vol 65 No 28 pp 6851-6858

Engine type and pollutant 1970-73 1974-78 1979-83 1984 1985-86 1987 1988-89 1990 1991-93 1994-97 1998-2003 2004 2005-06 2007 2008+

GasolineHC + NOx j 16 10 j

NOx + NMHC j 10 j

NMHC j 014HC k j 15 19 11 jNOx j 106 60 50 40 j 020

CO k 40 25 371 144Particulates j 001DieselHC + NOx j 16 10 j

HC k j 15 13 jNOx j 107 60 50 40 j 020

NOx + NMHC j 24l j

NMHC j 014CO k 40 25 155Particulates j 060 025 010 001Smoke opacity (acceleration lugging peak)a 4020j 201550

Weight criteria for light heavy-duty trucksb

GVWR over 6000 lbs

GVWR over 8500 lbs GVWR 8501 through 14000 lbs

Test procedure gasolinec 9-mode steady-state MVMA transient

Test procedure dieselc 13-mode steady-state EPA transient

Useful life (gasoline)d 5 years50000 miles 8 years110000 miles 10 years110000 miles

Complete Vehicles - (Grams per mile)ef

Weight range and pollutant 2005-06 2007 2008+GVWR 8500 through 10000 lbs

NMOGg 028 e

NMHCh e 0195CO 73NOx 09 02Particulates e 002HCHO e 0032GVWR 10001 lbs through 14000 lbs

NMOGi 033 e

NMHCj e 0230CO 81NOx 10 04Particulates e 002HCHO e 0040

Test procedurei EPA HD-UDDS

Table 4-32a Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light Heavy-Duty Trucks (Grams per brake horsepower-hour)

NOTE

US Environmental Protection Agency Office of Transportation and Air Quality personal communication October 2001

k This test procedure currently exists to test complete vehicles that have been optionally chassis certified However chassis certification is not required until 2005l Required for complete gasoline heavy-duty vehicles only

Tables 4-32a and 4-32b are identical for heavy-duty diesel engines

SOURCES

a Smoke opacity is expressed in percentage for acceleration lugging and peak modes (accelerationluggingpeak) Lugging is when a vehicle is carrying a load

KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxides NMHC = nonmethane hydrocarbons NMOG =nonmethane organic gas HCHO = formaldeyhyde

b Gross vehicle weight rating (GVWR) is the maximum design loaded weight

40 CFR 86 Electronic Code of Federal Regulations Internet site at httpwwwaccessgpogovnaracfrcfrhtml_00Title_4040cfr86_00html as of Oct 9 2001

j The manufacturer has the option of satisfying this standard by measurement of nonmethane organic gas or total hydrocarbons

g Vehicles can meet a NMHC + NOx standard of 25 gbhp-h given they meet a NMHC standard of no more than 05 gbhp-hh Starting in 2005 complete gasoline heavy-duty vehicles of 14000 lbs GVWR or below will have to be chassis certified

i The manufacturer has the option of satisfying this standard by measurement of nonmethane hydrocarbons or total hydrocarbons

c Several testing procedures have been used during the course of exhaust emissions control A steady-state 9-mode test procedure (13-mode for diesel) was used for 1970-83 standards For 1984 either the steady-state tests or the US Environmental Protection Agency (EPA) transient test procedure could be used For diesels the EPA transient test was requiredfrom 1985 to the present For gasoline-powered vehicles either the EPA or the Motor Vehicle Manufacturers Association (MVMAtransient test procedure could be used during 1985-86 and the MVMA procedure was required thereafter d Emissions standards apply to the useful life of the vehicle Useful life was 5 years50000 miles through 1983 and became 8 years110000 miles beginning in model year 1985 1984 was a transitional year in which vehicles could meet the older standard (and test procedure) or the newer one Useful life requirement for gasoline-powered trucks meeting NOx standards for 1998 and after is 10 years110000 miles Starting in 2004 the useful life will be 10 years110000 miles The useful life requirements for heavy-duty diesel truck standards are more complex and vary by vehicle weight pollutant test procedure and year Consult theUS Code of Federal Regulations for further information e No standard setf Although emissions standards for HC and CO were in effect for these years they were not measured in grams per brake horsepower-hour and are therefore incompatible with the engine certification section of this table

6

Table 4-32b Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Heavy-Duty Trucks(Grams per brake horsepower-hour)

Engine type and pollutant1970-73 1974-78 1979-83 1984 1985-86 1987 1988-89 1990 1991-93 1994-97 1998-2003 2004 2005-200 2007 2008+

GasolineHC + NOx e 16 10 e

NOx + NMHC e 10 eNMHC e 014HC f e 15 19 eNOx e 106 60 50 40 e 020

CO f 40 25 371 144Particulates e 001DieselHC + NOx e 16 10 e

HC f e 15 13 eNOx e 107 60 50 40 e 020

NOx + NMHC e 24g e

NMHC 014CO f 40 25 155Particulates e 060 025 010 001Smoke opacity (acceleration lugging peak)a

4020e 201550

Weight criteria for heavy heavy-dutyb

GVWR over 6000lbs

GVWR over 8500 lbs GVWR over 14000 lbstrucksTest procedure gasolinec 13-mode steady-state MVMA transient

Test procedure dieselc 13-mode steady-state EPA transient

Useful life (gasoline)d 5 years50000 miles 8 years110000 miles 10 years110000 miles

KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxides NMHC = nonmethane hydrocarbons

a Smoke opacity is expressed in percentage for acceleration lugging and peak modes (accelerationluggingpeak) Lugging is when a vehicle is carrying a loadb Gross vehicle weight rating (GVWR) is the maximum design loaded weightc Several testing procedures have been used during the course of exhaust emissions control A steady-state 9-mode test procedure (13-mode for diesel) was used for 1970-83 standards For 1984 either the steady-state tests or the US Environmental Protection Agency (EPA) transient test procedure could be used For diesels the EPA transient test was required from 1985 to the present For gasoline-powered vehicles either the EPA or the Motor Vehicle Manufacturers Association (MVMA) transient test procedure could be used during 1985-86 and the MVMA procedure was required thereafter d Emissions standards apply to the useful life of the vehicle Useful life was 5 years50000 miles through 1983 and became 8 years110000 miles beginning in model year 1985 1984 was a transitional year in which vehicles could meet the older standard (and test procedure) or the newer one Useful life requirement for gasoline-powered trucks meeting NOx standards for 1998 and after is 10 years110000 miles Starting in 2004 the useful life will be 10 years110000 miles The useful life requirements for heavy-duty diesel truck standards are more complex and vary by vehicle weight pollutant test procedure and year Consult the US Code of Federal Regulations for further information e No standard setf Although emissions standards for HC and CO were in effect for these years they were not measured in grams per brake horsepower-hour and are therefore incompatible with this table g Vehicles can meet a NMHC + NOx standard of 25 gbhp-h given they meet a NMHC standard of no more than 05 gbhp-h

NOTETables 4-32a and 4-32b are identical for heavy-duty diesel engines

SOURCES40 CFR 86 Electronic Code of Federal Regulations internet site at httpwwwaccessgpogovnaracfrcfrhtml_00Title_4040cfr86_00html as of Oct 9 2001 US Environmental Protection Agency Office of Transportation and Air Quality personnal communication Oct 2001

Table 4-33 Federal Exhaust Emissions Standards for Newly Manufactured Motorcyclesa (gkm)b

PollutantEnginedisplacement

Emissions prior to controlsc

1978-79 1980-89 1990-96 1997+Gasoline-poweredHC 50-169 cc

10-1385

170-749 cc 5 + 00155(D-170)d 50750 cc and greater 14 50

CO 50 cc and greater 110-310 17 12Methanol-poweredTotal HC equivalent 50 cc and greater 50CO 50 cc and greater 12

Natural gas and LPG-poweredHC 50 cc and greater 50CO 50 cc and greater 12Useful life (Class I) 50-169 cc 5 years or 12000 km (7456 mi) whichever comes first

(Class II) 170-279 cc 5 years or 18000 km (11185 mi) whichever comes first(Class III) 280 cc and greater 5 years or 30000 km (18641 mi) whichever comes first

KEY cc = cubic centimeters D = engine displacement g = gram HC = hydrocarbon h = hour kg = kilogram km = kilometer lb = pound LPG = liquefied petroleum gas mi = miles mph = miles per hour

a A motorcycle is any motor vehicle with a headlight taillight and stoplight and having two or three wheels and a curb mass less than or equal to 793 kg (1749 lb) (The limit was 680 kg or 1499 lb prior to the 1998 model year) A motorcycle is excluded from the standards if it has a displacement of less than 50 cc (31 cubic inches) or if with a 80 kg (176 lb) driver it cannot start from a dead stop using only the engine or exceed a speed of 40 kmh (25 mph) on a level paved surface b Readers who wish to compare motorcycle regulations with passenger car and truck regulations should note that 50 gkm = 80 gmi and 12 gkm = 19 gmi The formula for 1978-79 HC emissions by motorcycles 170-749 cc becomes in gmi approximately 80 + 0025(D-170) c Estimates of emissions rates prior to controls are ranges of emissions for all engine displacements Not available for motorcycles powered by fuels other than gasoline d D = engine displacement in cubic centimeters (cc) For example the standard for a 300 cc engine would be 50 + 00155(300-170) = 70 gkm

SOURCE40 CFR 86 Subpart E (July 1 2000) US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

Table 4-34 Federal Exhaust Emissions Standards for Newly Manufactured and In-Use Aircraft Enginesab

Year of engine manufacture

Engine typec Pollutant 1974-75 1976-77 1978-82 1983 1984-96 1997-99 2000+Turboprop

Smoke g187(rO)-0168

Class T3 turbojet

CO (gkN)d 118HC (gkN)d 196NOx (gkN)d e40 + 2(rPR) f32 + 16(rPR)

Smoke 25 h836(rO)-0274

Class T8 turbojet

CO (gkN)d 118HC (gkN)d 196NOx (gkN)d e40 + 2(rPR) f32 + 16(rPR)

Smoke 30 h836(rO)-0274

Turbofan and turbojet engines other than Classes T3 T8 and TSS

CO (gkN)d 118HC (gkN)d 196NOx (gkN)d e40 + 2(rPR) f32 + 16(rPR)

Smoke i836(rO)-0274 j836(rO)-0274 h836(rO)-0274

TSS engines (supersonic aircraft engines)

HC (gkN) 140(092)rPR

Smoke h836(rO)-0274

KEY CO = carbon monoxide g = gram gkN = grams of pollutant per kilonewtons of thrust HC = hydrocarbon kN = kilonewtons kW = kilowatt NOx = nitrogen oxides rO = rated output which is the maximum power or thrust available for takeoff rPR = rated pressure ratio

a Federal standards apply to all planes operating in the United States regardless of where they were manufactured This table primarily displays exhaust emissions standards for newly manufactured aircraft engines Only two standards (smoke standards) have been set for in-use aircraft engines (see footnotes i and k) Therefore unless otherwised noted emissions in this table apply to new aircraft engines only b HC CO and NOx are measured using the International Civil Aviation Organization (ICAO) Gaseous Emissions Test Procedure Smoke is measured using the ICAO Smoke Emission Test Procedure There is no useful life or warranty period for purposes of compliance with emissions standards c Examples of commercial aircraft that use each engine type include the following

Class T3 turbojetndashBoeing 707-320s (Class T3 engines are currently out of production though some are still in use)Class T8 turbojetndashBoeing 727s and 737-200s and McDonnell-Douglas MD-80s and DC-9sTurbofans and turbojets other than T3 T8 and TSSndashBoeing 747-400s 757s 767-200s and 777s and McDonnell-Douglas MD-11s Canadair Regional JetsTurbopropsndashUsed mostly in regional airliners such as ATR 72 Dornier 328 and Saab SF 340

TSSndashBritish Aircraft CorpAerospatiale Concorde (the only supersonic aircraft currently used in commercial civil aviation)d Applies to engines with rOgt267 kNe Effective as of July 7 1997 This standard applies only to those engines of a type or model for which the date of manufacture of the first individual production model was on or before Dec 31 1995 and for which the date of manufacture of the individual engine was on or before Dec 31 1999f Effective as of July 7 1997 This standard also applies to engines of a type or model for which the date of manufacture of the first individual production model was after Dec 31 1995 and for which the date of manufacture of the individual engine was after Dec 31 1999g Engines with rOgt=1000 kWh Engines manufactured on or after Jan 1 1984 and with rOgt=267 kN Smoke number may not exceed 50i Engines with rated output rOgt=129 kN This is also the in-use standard for all such aircraft enginesj Engines with rOlt267 kN Smoke number may not exceed 50k Class T8 turbojet engines shall not exceed a smoke number of 30 beginning Feb 1 1974

SOURCE

40 CFR 87 Subparts A-D (July 1 2000) and US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

Table 4-35 Federal Exhaust Emissions Standards for Locomotivesa

(gbhph except where noted)

Pollutant Duty-cycle f

Tier 01973-2001h

Tier 12002-2004

Tier 22005+

Total HCb Line-haul 100 055 030Switch 210 120 060

Nonmethane HCc Line-haul 100 055 030Switch 210 120 060

Total HC equivalentdLine-haul 100 055 030Switch 210 120 060

CO

Line-haul 50 22 15Switch 80 25 24Line-haul (optional standard) 100 100 100Switch (optional standard) g 120 120 120

NOxLine-haul 95 74 55Switch 140 110 81

Particulates

Line-haul 060 045 020Switch 072 054 024Line-haul (optional standard) 030 022 010Switch (optional standard) g 036 027 012

Smoke opacity ( opacity-normalized) h

Steady-state 30 25 2030-second peak 40 40 403-second peak 50 50 50

Useful life 75 MWh per hp or 10 years i j

KEY bhp = brake horsepower bhph = brake horsepower hour CO = carbon monoxide g = gram h = hour MW = megawatt MWh = megawatt hour NOx = nitrogen oxides PM = particulate matter

a Locomotive standards apply to both new and remanufactured locomotives except as notedb The line-haul duty-cycle is weighted toward operation in the higher power notches and is typical of line-haul applications The switch duty-cycle is typical of switch operations with more emphasis on idle and low power notch emissions Locomotives generally are required to meet the standards for both duty-cycles However Tier 0 dedicated switch locomotives rated at 2300 hp or less are only required to meet the switch duty-cycle standard c Tier 0 standards apply to all new production locomotives in the 2001 model year as well as for any 1994 through 2001 model year freight locomotives remanufactured on or after Jan 1 2001 They also apply to all other 1973 through 2001 model year locomotives remanufactured on or after Jan 1 2002 Other phase-in options are also available for manufacturers (see 40 CFR 92 for more detail on phase-in options)d Total HC standards apply to locomotives powered by any fuel except alcohol or natural gas or fuels primarily composed of alcohol or natural gas e Nonmethane HC standards apply to locomotives powered by natural gas or fuels that are primarily composed of natural gas f Total HC equivalent standards apply to locomotives powered by alcohol or fuels that are primarily composed of alcohol g Manufacturers and remanufacturers can elect to comply with the alternate CO and PM standards However a manufacturer or remanufacturer using the alternate standards must meet both the CO and the PM standards This allows locomotives to have higher CO emissions in exchange for meeting more stringent PM standards h Smoke opacity values are normalized to be equivalent to a 1 meter path lengthi For Tier 0 locomotives not equipped with MWh meters the minimum useful life is 750000 miles or 10 years whichever comes first j This is a minimum standard The certifying manufacturer or remanufacturer must specify a longer useful life if the locomotive or locomotive engine is designed to last longer than the applicable minimum useful life

SOURCE 40 CFR 92 Jul 1 2000 and US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

HC + NOx (gkWh)Rated

power lt 43 kW Rated power gt= 43 kW cd

1998b27800 (0917 x (151 + 557P09)) + 244

1999 25300 (0833 x (151 + 557P09)) + 289

2000 22800 (0750 x (151 + 557P09)) + 333

2001 20400 (0667 x (151 + 557P09)) + 378

2002 17900 (0583 x (151 + 557P09)) + 422

2003 15500 (0500 x (151 + 557P09)) + 467

2004 13000 (0417 x (151 + 557P09)) + 511

2005 10500 (0333 x (151 + 557P09)) + 556

2006+ 8100 (0250 x (151 + 557P09)) + 600

SOURCE40 CFR 91 July 1 2000 edition pp 301-302 398 and US Environmental Protection Agency Office of Air and Radiation personalcommunication Aug 28 2001

Outboard engines 350 hr10 yr

Personalwatercraft 350 hr5

yr

yr for all emissions-related component

1 yr for all emission-related components 3 yr200 hr for

specified major emissions control components

2 yr200 hr for all emissions-related components 3 yr200 hr for specified major emissions control components

KEY g = gram hr = hour HC = hydrocarbon hp = horsepower kW = kilowatt kWh = kilowatt hour NOx = nitrogen oxide yr = year

a The standards apply to marine spark-ignition outboard personal watercraft and jet-boat engines only There are currently no federalstandards for marine spark-ignition sterndriveinboard engines (previously proposed standards have not been finalized) Marine compression-ignition engines under 50 hp are covered under the proposed nonroad compression-ignition engine standards Federal standards are in development for marine compression-ignition engines over 50 hp b P = the average power of the engine family in kilowatts (sales-weighted) c As an example the standards for an outboard engine of 125 hp (just over 93 kW) would be 14953 gkWh in 1998 12363 gkWh in 20009774 gkWh in 2002 7200 gkWh in 2004 and 4610 gkWh in 2006 d All emissions standards must be met for the useful life of the enginee The standards for personal watercraft did not go into effect until 1999 although the standard went into effect for outboard engines in 1998

Table 4-36 Federal Exhaust Emissions Standards for Newly Manufactured Marine Spark-Ignition Outboard Personal Watercrafte and Jet-Boat Enginesa (gkWh)

Year Warranty period Useful lifed

Enginecategoryc

Displacement(literscylinder) Rated power (kW) Year

NOx + THC (gkW-hr)

PM(gkW-hr)

CO(gkW-hr) Useful Lifed Warranty Period

lt 09 2005 75 04009 to lt 12 2004 72 03012 to lt 25 2004 72 02025 to lt 50 2007 72 02050 to lt 150 37 kW and above 78 027

150 to lt 200 37 kW to lt 3300 kW87 050

150 to lt 200 3300 kW and above 98 050

200 to lt 250 37 kW and above 98 050250 to lt 300 37 kW and above 110 050

3 30 and above 37 kW and above No Tier 2 emissions standards have been set for Category 3 commercial marine vessels

SOURCE

5 yrs or 5000 hrs operation

5 yrs or 10000 hrs operation

2007

50

50

1

2

37 kW and above10 yrs or 10000 hrs

operation

10 yrs or 20000 hrs operation

Federal Register Vol 64 No 249 Dec 29 1999 pp 73299 to 73373 and US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

Table 4-37 Tier 2 Federal Exhaust Emissions Standards for Newly Manufactured Commercial Marine Compression-Ignition Enginesab

Category 1 (lt 5 liters displacementcylinder and rated power gt=37 kW) These engines are typically used as propulsion engines on relatively small commercial vessels (fishing vessels tugboats crewboats etc) They are also used as auxiliary engines on vessels of all sizes and applications

Category 2 (gt= 5 liters displacementcylinder to lt 30 liters displacementcylinder and rated power gt=37 kW) The largest engines that are widely used as propulsion engines in harbor and coastal vessels in US waters These engines also provide auxiliary power on very large vessels Many of these engines are of similar size and configuration as locomotive engines or use comparable emissions control technologies

Category 3 (gt= 30 liters displacementcylinder and rated power =37kW) These are very large high-power engines that are used almost exclusively for propulsion on vessels engaged in international trade

d Manufacturers must demonstrate that the engine or engine family will meet all standards for its useful life Certification for useful life is accomplished by testing a sample of engines The warranty period applies to each engine manufactured The manufacturer of each engine must provide a warranty to the ultimate purchaser or owner (and each subsequent purchaser or owner) that the engine is designed built and equipped so as to conform at the time of sale with Tier 2 standards and is free from defects in materials and workmanship that would cause the engine to fail to conform to these standards for the warranty period Furthermore this warranty cannot be shorter than any mechanical warranty on the engine and must be at least one half of the useful life period

KEY CO=carbon monoxide disp=displacement gkW-hr=gram per kilowatt-hour hrs=hourskW=kilowatt NOx=nitrogen oxides PM=particulate matter THC=total hydrocarbons yrs=years

a Tier 2 emissions standards established by Congress apply to commercial compression-ignition (diesel) engines with a power rating of at least 37 kW Both propulsion and auxiliary engines are covered under these standards but land-based engines used in portable auxiliary equipment must meet standards for land-based engines Smaller compression-ignition engines are covered under a separate rule The US Environmental Protection Agency (EPA) also intends to regulate recreational marine diesel engine emissions under a separate rule and is establishing provisions to allow exemptions for category 1 and 2 engines used as auxiliary engines in US-flagged vessels engaged in foreign trade or overseas operations at least 75 percent of the time (ie operation will occur more than 320 nautical kilometers outside the United States not including trips between US ports in Alaska Hawaii the continental United States or its territories)b MARPOL Annex VI nitrogen oxide (NOx) standards (international standards adopted by the International Maritime Convention on the Prevention of Pollution from Ships) are referred to as Tier 1 emissions standards These standards apply to any diesel engine over 130 kW installed on a vessel constructed on or after Jan 1 2000 and to any engine that undergoes major conversion after that date MARPOL standards are currently voluntary for ships engaged in domestic travel but will be required for ships engaged in foreign trade with countries that ratify MARPOL standards Although they have not yet been ratified by the United States the EPA encourages engine manufacturers to make compliant engines and encourages owners to purchase them If ratified by the United States MARPOL Annex VI NOx standards will be retroactively effective Jan 1 2000c Emissions standards are based on displacementcylinder and rated power The three standards categories are as follows

Table 4-38 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type using Gasoline and Diesel(Grams per mile)1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

GASOLINE (assuming zero RFG)Light-duty vehiclesExhaust HC 279 250 223 198 177 157 139 125 114 105 097 089 081 074 061 052 046 042Nonexhaust HC 121 117 112 109 107 105 103 101 098 095 091 088 084 081 077 072 068 062Total HC 400 367 335 307 284 262 241 226 212 200 188 177 165 154 137 125 113 104Exhaust CO 4289 3915 3554 3223 2932 2660 2418 2238 2086 1954 1853 1780 1698 1614 1379 1257 1087 1028Exhaust NOx 270 247 227 209 194 178 164 155 146 135 129 125 120 114 100 092 079 073Light-duty trucksExhaust HC 368 333 300 271 245 221 196 180 165 154 145 135 124 113 096 078 069 064Nonexhaust HC 137 130 121 117 113 111 108 105 102 100 098 095 090 084 080 076 071 066Total HC 505 463 421 388 359 332 304 285 268 254 243 230 214 198 176 154 140 131Exhaust CO 5623 5199 4793 4434 4077 3751 3447 3220 3023 2828 2681 2543 2385 2151 1876 1623 1433 1352Exhaust NOx 262 242 226 211 198 184 173 165 159 155 154 153 150 145 132 121 109 102Heavy-duty vehiclesExhaust HC 366 334 303 276 239 216 194 173 151 135 122 109 098 082 073 064 053 048Nonexhaust HC 274 260 234 225 216 207 197 187 179 169 162 154 148 141 135 124 114 107Total HC 640 594 537 500 455 424 391 360 329 304 284 263 246 224 208 188 167 154Exhaust CO 8561 7864 7212 6592 6001 5416 4852 4326 3882 3454 3108 2759 2473 2060 1846 1673 1451 1355Exhaust NOx 719 696 672 652 635 611 589 573 556 540 526 513 501 491 462 428 373 333MotorcyclesExhaust HC 201 188 182 175 172 169 163 163 162 161 161 161 161 161 161 161 161 161Nonexhaust HC 074 073 072 072 071 071 070 069 070 070 070 070 070 070 069 069 069 068Total HC 274 260 254 246 243 240 234 232 232 231 231 231 231 231 231 230 230 229Exhaust CO 1515 1478 1477 1476 1476 1467 1459 1459 1459 1459 1459 1459 1459 1459 1459 1458 1459 1459Exhaust NOx 126 128 128 128 128 126 125 125 125 125 125 125 125 125 125 125 125 125DIESELLight-duty vehiclesExhaust HC 068 069 071 073 075 077 079 081 081 082 080 076 073 073 060 058 048 036Exhaust CO 149 152 156 160 164 169 173 176 178 179 178 175 173 174 159 157 141 121Exhaust NOx 183 185 186 187 189 189 189 188 186 185 181 172 162 154 143 132 111 085Light-duty trucksExhaust HC 159 160 164 164 168 167 169 163 151 142 102 088 096 097 098 080 079 063Exhaust CO 267 270 276 277 285 285 289 279 260 244 177 154 166 168 168 137 134 106Exhaust NOx 271 266 262 256 253 246 242 231 217 207 176 164 167 166 159 137 130 109Heavy-duty vehiclesExhaust HC 221 197 174 155 138 123 110 100 092 085 079 074 069 061 058 054 051 048Exhaust CO 1006 922 843 771 700 632 573 523 480 443 410 382 358 337 319 305 290 266Exhaust NOx 2334 2214 2147 2110 2075 2049 2024 2004 1984 1914 1805 1668 1552 1392 1250 1145 1055 960Average Emissions Per Vehicle RFG and Diesel FleetExhaust HC 298 270 242 218 196 176 156 143 132 123 116 108 099 091 077 065 0581 0543Nonexhaust HC 121 116 110 106 104 101 099 097 094 091 089 086 082 077 074 069 065 0604Total HC 420 386 352 324 300 277 255 240 226 214 204 193 181 168 151 135 123 1147Exhaust CO 4507 4143 3793 3476 3184 2912 2665 2490 2340 2200 2094 2002 1894 1749 1524 1356 1195 11318Exhaust NOx 415 392 375 361 349 336 324 318 312 302 291 278 265 248 225 207 187 1726KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxide RFG = reformulated gasoline

NOTES

As of July 1 of each year Vehicles types are defined as follows light-duty vehicles (passenger cars up to 6000 lb GVWR) light-duty trucks (pickups and minivans up to 8500 lb GVWR) heavy-duty vehicles (8501 lbs or more GVWR) motorcycle (highway only) This table is based on MOBILE6 the US Environmental Protection Agencys (EPA) latest highway vehicle emissions factor model Interested readers can learn more about the MOBILE6 model at the following USEPA Internet site httpwwwepagovotaqm6htm Emissions factors are national averages based on the following assumptions ambient temperature 75 ordmF daily temperature range 60-84 ordmF average traffic speed 276 mph (representative of overall traffic in urban areas) standard operating mode (cold-start hot-start stabilized) vehicle-miles traveled fractions no inspectionmaintenance or antitampering programs and gasoline volatility 90 per square inch RVP (Reid vapor pressure) See Table 4-39 for emissions from vehicles operating on reformulated gasolineData for nonexhaust HC is negligible for diesel light-duty vehicles light-duty trucks and heavy-duty vehiclesAverage emissions per vehicle rates assume a fleet comprised exclusively of gasoline and diesel vehicles For emissions estimates of a fleet using RFG and diesel see table 4-39

SOURCEUS Environmental Protection Agency National Vehicle and Fuel Emissions Laboratory personal communication Nov 29 2007

Table 4-39 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type using Reformulated Gasoline and Diesel (Grams per mile)

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007RFG (assuming 100 RFG) Light-duty vehiclesExhaust HC 145 128 115 104 097 084 076 068 062 055 047 041 038Nonexhaust HC 089 087 086 084 082 064 063 061 059 057 054 051 047Total HC 234 215 201 188 178 148 139 129 121 112 102 0921 0852Exhaust CO 2278 2084 1943 1825 1721 1536 1468 1388 1317 1249 1144 981 929Exhaust NOx 178 164 155 146 135 124 119 112 106 100 090 077 072Light-duty trucksExhaust HC 209 185 169 155 144 127 118 107 097 089 071 063 059Nonexhaust HC 093 091 089 087 085 068 067 064 062 059 056 053 050Total HC 302 275 258 242 229 196 184 171 159 148 128 1633 1086Exhaust CO 3186 2946 2770 2619 2463 2225 2109 1971 1778 1666 1447 1579 1203Exhaust NOx 184 173 165 159 155 147 145 141 136 131 120 107 101Heavy-duty vehiclesExhaust HC 214 191 170 148 132 116 103 092 077 070 062 051 045Nonexhaust HC 172 164 156 150 143 112 107 103 101 097 090 083 078Total HC 386 355 326 298 275 228 210 196 178 167 151 1337 1233Exhaust CO 4602 4115 3662 3280 2912 2587 2288 2041 1687 1533 1389 1201 1125Exhaust NOx 613 590 574 557 541 518 501 486 475 463 436 379 339MotorcyclesExhaust HC 169 163 163 162 161 161 161 161 161 161 161 161 161Nonexhaust HC 055 054 053 053 053 043 043 043 044 044 043 043 042Total HC 224 217 216 216 214 204 204 204 205 205 204 204 203Exhaust CO 1264 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256Exhaust NOx 126 125 125 125 125 125 125 125 125 125 125 125 125DIESELLight-duty vehiclesExhaust HC 077 079 081 081 082 080 076 073 073 060 058 048 036Exhaust CO 169 173 176 178 179 178 175 173 174 159 157 141 121Exhaust NOx 189 189 188 186 185 181 172 162 154 143 132 111 085Light-duty trucksExhaust HC 167 169 163 151 142 102 088 096 097 098 080 079 063Exhaust CO 285 289 279 260 244 177 154 166 168 168 137 134 106Exhaust NOx 246 242 231 217 207 176 164 167 166 159 137 130 109Heavy-duty vehiclesExhaust HC 123 110 100 092 085 079 074 069 061 058 054 051 048Exhaust CO 632 573 523 480 443 410 382 358 337 319 305 290 266Exhaust NOx 2049 2024 2004 1984 1914 1805 1668 1552 1392 1250 1145 1055 960Average Emissions Per Vehicle RFG and Diesel FleetExhaust HC 165 146 134 123 115 102 094 086 078 071 060 053 050Nonexhaust HC 086 084 082 080 078 062 060 058 057 054 052 049 046Total HC 251 230 216 203 193 164 155 144 135 126 112 1019 0953Exhaust CO 2492 2293 2156 2038 1927 1744 1662 1564 1443 1362 1218 1066 1012Exhaust NOx 336 324 318 312 302 285 271 258 240 224 206 186 171KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxide RFG = reformulated gasoline

NOTESAs of July 1 of each year Vehicle types are defined as follows light-duty vehicles (passenger cars up to 6000 lb gross vehicle weight rating GVWR) light-duty trucks (pickups and minivans up to 8500 lb GVWR) heavy-duty vehicles (8501 lb or more GVWR) motorcycle (on-highway only) The data in this table are based on MOBILE6 and reflect the introduction of RFG starting in 1995 Interested readers can learn more about the MOBILE6 model at the following USEPA Internet site httpwwwepagovotaqm6htm Emissions factors are national averages based on the following assumptions ambient temperature 75 ordmF daily temperature range 60 -84 ordmF average traffic speed 276 mph (representative of overall traffic in urban areas) standard operating mode (cold-start hot-start stabilized) vehicle-miles traveled fractions and no inspectionmaintenance or antitampering programs Emissions estimates in this table assume 100 RFGAverage emissions per vehicle rates assume a fleet comprised exclusively of reformulated gasoline and diesel vehicles For emissions estimates of a fleet using gasoline and diesel see table 4-38

SOURCEUS Environmental Protection Agency National Vehicle and Fuel Emissions Laboratory personal communication Nov 29 2007

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007TOTAL all sources 20404 18840 18541 17685 15419 14713 14090 13590 13356 12678 12886 11791 11538 11454 11447 10626 11106 10624 10143 9662 9213 8825Highway vehicles 16323 15356 14383 13419 11026 10498 9971 9443 8916 8388 7861 7585 7324 6871 6806 6348 6060 5647 5235 4822 4473 4161Off-Highway 1137 1433 1669 1903 2145 2193 2242 2290 2339 2387 2436 2367 2369 2332 2418 2468 2266 2204 2142 2080 1967 1876Fuel combustion 463 448 730 849 551 586 615 559 552 593 434 433 433 554 478 483 547 541 534 527 528 530Industrial processesa 984 754 695 528 477 462 455 465 461 461 364 380 381 255 263 276 224 224 224 224 224 224Waste disposal and recycling 706 323 230 194 108 112 114 125 123 119 290 295 312 302 185 185 159 159 159 159 159 159Miscellaneous 791 526 834 793 1112 862 693 708 966 730 1502 732 718 1141 1296 868 1849 1849 1849 1849 1862 1875

Table 4-40 Estimated National Emissions of Carbon Monoxide (Million short tons)

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

SOURCE

Key R = Revised

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries other industrial processes and solvent utilization storage and transport

(R) 1970 (R) 1975 (R) 1980 (R) 1985 (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007TOTAL 2688 2638 2708 2576 2553 2518 2526 2536 2535 2496 2479 2471 2435 2284 2260 2155 2114 2033 1952 1871 1769 1703Highway vehicles 1262 1206 1149 1093 959 945 931 916 902 888 873 879 862 837 839 777 787 738 690 641 597 556Off-Highway 265 297 335 358 378 385 392 398 405 411 418 418 416 408 417 416 451 447 444 440 427 416Fuel combustion 1006 1049 1132 1005 1089 1078 1093 1111 1102 1083 1051 1055 1038 920 882 845 749 720 692 663 617 600Industrial processesa 078 054 056 080 080 072 076 074 077 077 080 084 085 078 081 085 095 095 095 095 093 092Waste disposal and recycling 044 016 011 009 010 010 010 012 011 010 016 016 016 016 013 013 011 011 011 011 011 011Miscellaneous 033 017 025 031 037 029 026 024 039 027 041 019 018 025 028 018 021 021 021 021 024 026KEY R = revised

Table 4-41 Estimated National Emissions of Nitrogen Oxides (Million short tons)

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and other industrial processes and solvent utilization storage and transport

SOURCE

Table 4-42 Estimated National Emissions of Volatile Organic Compounds (Million short tons) 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007

Total all sources 3466 3077 3111 2740 2411 2358 2307 2273 2257 2204 2087 1953 1878 1827 1751 1711 2116 2077 2037 1998 1916 1842Highway vehicles 1691 1539 1387 1235 939 886 833 780 728 675 622 599 586 568 533 495 492 464 436 408 382 360Off-Highway 162 192 219 244 266 271 275 280 285 289 294 275 267 268 264 262 306 299 293 286 274 265Fuel combustion 072 066 105 157 101 108 112 099 099 107 112 112 112 115 118 119 172 168 163 158 160 163Industrial processesa 1233 1110 1210 950 901 918 937 953 969 971 814 834 788 749 721 740 710 710 710 710 698 688Waste disposal and recycling 198 098 076 098 099 100 101 105 105 107 051 052 054 049 042 042 040 039 040 040 039 038Miscellaneous 110 072 113 057 106 076 049 056 072 055 194 082 072 079 073 053 397 397 397 397 363 328Key R = Revised

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and other industrial processes and solvent utilization storage and transport

SOURCE

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Total all sources 1302 756 701 4132 2775 2735 2710 2736 2861 2582 2286 2291 2289 2257 2296 2294 1843 1843 1842 1842 1641 1446Highway vehicles 048 046 043 041 039 037 035 034 032 030 029 027 026 024 023 021 020 020 019 019 016 015Off-Highway 016 021 026 030 033 033 033 034 034 034 034 034 033 034 032 032 031 031 031 031 027 027Fuel combustion 287 225 245 154 120 115 118 112 111 118 091 091 084 085 089 094 054 054 054 054 051 048Industrial processesb 767 370 275 106 104 099 099 091 091 095 065 067 067 050 051 054 105 105 105 105 104 103Waste disposal and recycling 100 037 027 028 027 028 028 033 031 029 045 047 049 047 036 036 024 024 024 024 023 023Miscellaneous 084 057 085 3774 2454 2423 2396 2433 2562 2277 2022 2025 2031 2018 2064 2057 1610 1610 1610 1610 1420 1230

Table 4-43 Estimated National Emissions of Particulate Matter (PM-10) a (Million short tons)

SOURCE US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

Key R = revised

b Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries other industrialprocesses solvent utilization and storage and transport

a Fine particulate matter less than 10 microns Data include PM without condensibles

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Total 756 732 720 715 754 693 673 626 626 640 650 622 3102 3095 3089 3082 2998 2958Highway vehicles 032 031 029 028 026 025 023 022 020 018 017 016 015 014 014 013 011 010Off-Highway 030 030 031 031 031 031 031 031 030 031 030 029 029 029 029 029 026 025Fuel combustion 091 089 093 085 084 090 067 067 063 067 072 074 029 029 029 029 025 022Industrial processesb 056 057 058 050 050 050 037 038 039 030 031 032 036 036 036 036 036 035Waste disposal and recycling 023 024 024 029 027 025 043 044 046 044 033 033 022 022 022 022 022 022Miscellaneous 523 500 485 493 536 473 472 424 428 450 468 438 180 180 180 180 181 182

Table 4-44 Estimated National Emissions of Particulate Matter (PM-25)a (Million short tons)

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

SOURCE

Key R = revised

a Particulate matter less than 25 microns in size Data include PM without condensiblesb Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and otheindustrial processes solvent utilization and storage and transportation

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007TOTAL all sources 3122 2804 2593 2331 2308 2237 2208 2177 2135 1862 1839 1884 1894 1754 1635 1593 1478 1476 1474 1471 1351 1293Highway vehicles 027 033 039 046 050 047 044 040 037 034 030 030 030 030 026 025 025 021 018 015 012 009Off-Highway 028 030 032 035 037 038 039 039 040 041 041 042 043 048 044 044 051 051 051 052 046 040Fuel combustion 2346 2266 2139 2002 2029 1980 1949 1925 1889 1623 1625 1665 1674 1534 1416 1374 1280 1281 1282 1283 1174 1126Industrial processesa 709 468 377 243 186 168 172 165 162 159 137 143 143 133 138 143 106 106 106 106 105 103Waste disposal and recycling 001 005 003 003 004 004 004 007 006 005 003 003 003 003 003 004 003 003 003 003 003 003Miscellaneous 011 002 001 001 001 001 001 001 002 001 002 001 001 007 007 004 014 014 014 014 013 013

Table 4-45 Estimated National Emissions of Sulfur Dioxide (Million short tons)

SOURCE US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

Key R = revised

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and other industrial processes solvent utilization and storage and transport

Table 4-46 Estimated National Emissions of Lead (Thousand short tons)1970 1975 1980 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

TOTAL all sources 22088 15967 7416 2289 1477 768 705 549 498 417 381 392 405 393 408 414 406 420 423

Transportation total 17336 13133 6139 1874 1106 395 324 164 104 059 059 055 055 056 052 052 052 054 056

Highway vehicles 17196 13021 6050 1805 1025 332 257 098 042 002 002 002 002 002 002 002 002 002 002

Aircraft 140 112 089 069 081 063 067 066 062 057 057 053 053 054 051 050 050 052 055

Nontransportation total 4752 2834 1277 415 371 373 381 385 394 358 322 337 350 337 355 361 354 366 366

Fuel combustion 1062 1035 430 052 052 051 051 051 050 050 049 050 050 049 049 049 049 050 050

Industrial processesa

2636 1138 394 253 213 216 227 240 248 227 192 205 218 227 227 232 224 235 235

Waste disposal and recycling 220 160 121 087 084 084 082 077 080 081 081 083 083 060 079 080 081 081 081

Miscellaneousb

834 501 332 023 022 022 021 017 016 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001

a Industrial processes comprise chemical and allied product manufacturing metals processing and other industrial processesb Miscellaneous comprises other nonroad gasoline engines and vehicles that could not be accurately allocated to specific source categories

Total lead emissions decreased sharply from 1970 to 1995 as a result of regulatory actions The lead content ofleaded gasoline was reduced dramatically in 1985 In addition unleaded gasoline was introduced in 1975 for use in automobiles equipped with catalytic control devices By 1995 unleaded gasoline sales accounted for 99 of the gasoline market

The methodologies used to estimate emissions constantly evolve and undergo major changes Improved methods are often used to revise estimates for previous years Therefore some estimates in this table may not match estimates produced in previous reports and some trends may not be consistent across years in which major changes in methodology have occurred

1986-87 Ibid National Emission Trends source reports database available at Internet website wwwepagovairdatanettierhtml as of Sept 5 2001

The EPA now treats lead as a hazardous air pollutant (HAP) and the HAPs emission inventory report is published every three years

1988 Ibid National Air Pollutant Emission Trends 1900-1998 (EPA-454R-00-002) (Research Triangle Park NC March 2000) table A-2 available at Internet website httpwwwepagovttnchieftrendstrends98browsehtml as of Sept 5 2001

NOTES

SOURCES

Numbers may not add to totals due to rounding

1970 1975 US Environmental Protection Agency National Air Quality and Emissions Trends Report 1999 (EPA-454R-01-004) (Research Triangle Park NC March 2001) table A-2 available at Internet website httpwwwepagovoaraqtrnd99tochtml as of Sept 5 2001 1980 1985 and 1989-2000 Ibid Current Emission Trends Summaries available at internet website httpwwwepagovttnchieftrendstrends00trends2000pdf as of Oct 17 2002

(R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Akron OH 18 22 7 23 21 26 16 37 40 14 28 38 15 10 30 5 22Albany-Schenectady-Troy NY 26 15 5 13 12 9 8 9 15 3 18 17 9 5 8 2 13Albuquerque NM 74 6 17 5 3 5 2 3 5 7 1 11 15 5 9 3 1Allentown-Bethlehem-Easton PA 22 13 5 10 18 19 22 39 31 18 34 38 13 13 16 10 12Atlanta GA 59 57 19 27 53 41 46 76 85 62 39 38 23 20 28 37 34Austin-San Marcos TX 23 4 1 8 28 5 2 9 14 14 5 8 9 8 9 13 4Bakersfield CA 54 143 17 129 133 127 94 104 161 164 158 186 169 160 122 137 131Baltimore MD 72 45 17 61 57 43 46 70 54 39 50 59 31 31 36 34 45Baton Rouge LA 38 25 15 19 31 15 23 29 42 47 17 16 23 22 29 23 17Bergen-Passaic NJ 20 22 6 0 0 0 0 1 2 1 1 1 2 1 4 2 1Birmingham AL 57 44 21 11 50 25 29 38 65 68 41 28 17 17 35 33 41Boston MA-NH 80 20 12 0 0 0 0 0 4 0 3 9 8 1 4 1 3Buffalo-Niagara Falls NY 41 19 10 13 12 6 5 26 22 7 24 29 13 8 23 7 18Charleston-North Charleston SC 21 5 10 3 1 5 5 12 13 9 0 4 3 3 8 7 5Charlotte-Gastonia-Rock Hill NC-SC 69 56 9 15 32 40 41 67 62 40 32 42 12 17 26 21 33Chicago IL 148 24 40 11 29 14 15 20 27 17 38 34 19 13 29 9 23Cincinnati OH-KY-IN 93 47 18 29 33 30 20 36 40 22 28 42 22 8 33 15 39Cleveland-Lorain-Elyria OH 83 23 27 32 30 29 23 40 50 29 44 39 22 22 36 17 22Columbus OH 30 30 7 23 27 26 17 40 37 16 20 38 12 3 20 5 13Dallas TX 91 15 7 35 36 22 35 54 33 44 32 18 13 15 33 28 11Dayton-Springfield OH 24 16 7 28 28 28 22 38 28 14 15 45 13 8 22 5 11Denver CO 83 23 22 13 11 12 7 18 9 15 17 26 32 2 11 27 21Detroit MI 76 21 32 21 20 26 18 33 41 17 41 34 25 11 38 12 21El Paso TX 60 18 12 8 6 10 5 12 7 15 13 10 10 3 8 8 6Fort Lauderdale FL 36 7 12 3 3 2 3 9 7 5 5 3 0 1 1 4 7Fort Worth-Arlington TX 37 21 6 53 52 28 27 32 33 38 31 37 38 25 43 34 12Fresno CA 44 105 20 90 91 105 118 86 164 164 186 204 167 84 95 97 93Gary IN 63 16 16 12 30 17 15 22 33 18 45 27 15 8 19 3 11Grand Rapids-Muskegon-Holland MI 41 23 13 30 32 19 19 32 36 15 31 31 22 9 31 16 22Greensboro-Winston Salem-High Point NC 62 39 9 20 25 18 30 48 38 29 22 42 13 5 14 8 21Greenville-Spartanburg-Anderson SC 25 14 9 14 30 27 40 57 56 47 31 49 13 13 22 20 14Harrisburg-Lebanon-Carlisle PA 16 19 8 28 28 17 21 37 31 17 42 35 13 8 19 13 19Hartford CT 31 16 6 23 26 10 18 22 22 14 26 30 13 9 19 12 16Honolulu HI 30 0 11 0 0 0 0 0 2 2 2 2 2 2 2 1 0Houston TX 103 38 23 55 82 38 58 61 64 57 42 40 47 37 49 31 25Indianapolis IN 88 35 27 45 39 32 27 36 43 17 27 38 17 4 34 14 24Jacksonville FL 27 9 14 1 1 2 1 14 6 3 5 1 0 4 6 7 8Jersey City NJ 17 14 8 19 21 15 20 16 28 9 17 22 10 5 13 13 12Kansas City MO-KS 79 20 15 23 34 15 23 25 14 23 14 23 22 1 26 24 10Knoxville TN 54 57 19 38 60 58 70 97 98 65 58 69 31 14 39 30 51Las Vegas NV-AZ 98 25 8 22 6 21 9 9 8 6 2 13 10 4 9 12 7Little Rock-North Little Rock AR 28 11 6 8 24 9 10 13 16 29 17 18 3 0 19 11 11Los Angeles-Long Beach CA 124 100 44 145 124 97 65 64 71 83 105 94 106 99 60 56 59Louisville KY-IN 55 37 17 47 41 28 32 48 78 29 36 50 21 9 39 15 30Memphis TN-AR-MS 44 38 14 37 56 39 35 55 56 52 33 34 29 11 37 30 35Miami FL 20 3 11 4 8 3 4 6 9 8 2 2 2 3 0 6 3Middlesex-Somerset-Hunterdon NJ 15 30 4 19 31 19 28 39 35 19 29 36 11 15 22 9 21Milwaukee-Waukesha WI 55 14 16 17 23 15 6 16 26 9 25 22 17 6 24 6 11Minneapolis-St Paul MN-WI 130 10 20 4 9 0 4 4 4 8 10 4 5 0 7 1 5Monmouth-Ocean NJ 5 21 4 41 34 31 32 46 35 19 35 46 25 22 27 19 21

Trend sites

(R) Number of days with

AQI gt 100 (2007)

(R) Total number of

sites in 2007(R)Number of

trend sites

Table 4-47 Air Pollution Trends in Selected Metropolitan Statistical Areas(Number of days with AQI values greater than 100 at trend sites and all monitoring sites)

All sites

Metropolitan Statistical Area

Nashville TN 51 38 19 31 46 46 44 45 66 49 23 33 20 7 26 17 35Nassau-Suffolk NY 22 16 5 28 20 14 23 27 28 12 14 22 15 6 19 11 14New Haven-Meriden CT 37 7 2 0 0 0 0 0 0 2 2 1 3 1 3 1 0New Orleans LA 61 17 13 23 37 15 22 19 42 33 19 7 16 12 16 14 17New York NY 131 27 18 26 25 21 33 27 27 26 33 37 17 13 23 17 20Newark NJ 44 21 16 33 33 24 23 35 36 17 34 43 14 8 18 25 21Norfolk-Virginia Beach-Newport News VA_NC 29 9 7 19 22 12 37 34 32 23 14 31 10 5 12 11 9Oakland CA 86 7 19 5 13 9 2 11 20 12 15 23 13 8 6 13 5Oklahoma City OK 30 5 9 21 29 10 15 35 17 16 24 10 13 6 12 31 4Omaha NE-IA 39 5 13 1 4 0 1 7 7 3 2 0 1 1 1 0 1Orange County CA 30 19 8 30 20 13 8 7 7 11 6 6 15 10 0 7 9Orlando FL 24 11 13 7 9 6 6 23 13 14 12 5 4 5 8 8 8Philadelphia PA-NJ 98 40 42 48 54 41 41 61 51 37 51 59 34 20 35 30 40Phoenix-Mesa AZ 160 205 26 33 41 45 33 47 47 35 25 22 26 9 23 25 11Pittsburgh PA 116 58 39 35 36 30 32 47 50 40 56 59 42 40 54 41 44Portland-Vancouver OR-WA 63 10 12 5 4 12 0 9 6 5 4 7 2 4 4 2 5Providence-Fall River-Warwick RI-MA 54 19 8 20 17 10 16 10 14 13 21 24 8 4 13 6 11Raleigh-Durham-Chapel Hill NC 60 29 6 11 10 13 29 46 43 16 11 39 8 3 12 7 17Richmond-Petersburg VA 31 25 9 26 28 23 40 50 39 17 24 40 14 5 23 14 19Riverside-San Bernardino CA 146 177 44 167 154 147 131 117 151 171 183 175 158 147 141 128 135Rochester NY 17 10 1 8 10 1 10 11 17 2 14 16 5 0 0 2 7Sacramento CA 92 57 21 69 61 70 39 55 93 65 72 90 66 55 58 74 32St Louis MO-IL 143 41 35 49 46 35 32 45 45 30 36 49 29 11 47 22 34Salt Lake City-Ogden UT 74 47 13 27 8 14 3 20 18 23 29 34 20 38 32 21 28San Antonio TX 29 4 2 7 32 7 10 12 20 5 4 26 18 6 10 8 3San Diego CA 62 35 26 90 94 61 39 51 49 58 53 35 40 27 26 39 33San Francisco CA 30 4 12 0 3 1 0 0 11 4 12 17 3 2 2 1 2San Jose CA 33 7 4 5 16 18 2 14 5 0 4 8 9 3 3 11 0SanJuan-Bayamon PR 53 1 10 0 0 1 1 0 0 0 1 0 0 0 0 0 1Scranton-Wilkes Barre-Hazleton PA 19 7 12 19 25 14 19 26 25 8 24 30 7 4 12 3 7Seattle-Bellevue-Everett WA 89 10 10 2 0 2 0 3 6 8 6 7 2 2 2 5 4Springfield MA 42 22 10 28 17 8 22 24 18 7 28 24 13 9 16 12 21Syracuse NY 19 10 5 8 10 3 6 10 12 2 13 19 4 0 8 3 8Tacoma WA 25 14 4 3 3 4 0 6 2 15 11 9 8 4 4 9 7Tampa-St Petersburg-Clearwater FL 73 14 24 10 14 8 24 20 23 29 18 5 13 11 15 9 12Toledo OH 18 8 6 12 15 20 8 15 18 9 24 23 15 9 25 4 5Tucson AZ 51 1 20 10 14 8 8 7 8 5 0 7 7 0 8 9 1Tulsa OK 29 5 8 26 39 23 12 24 24 21 21 22 16 1 19 24 2Ventura CA 38 23 14 97 100 95 75 54 54 57 52 26 47 41 36 31 22Washington DC-MD-VA-WV 124 44 39 43 54 39 51 65 61 35 41 54 21 21 36 32 38West Palm Beach-Boca Raton FL 24 3 4 0 0 0 0 0 0 1 0 0 0 0 0 0 2Wilmington-Newark DE-MD 41 27 9 46 47 22 31 42 40 24 36 34 24 10 22 20 25Youngstown-Warren OH 29 20 8 7 14 15 14 34 24 11 25 28 11 4 17 2 14

Data for 1999 to 2007 include particulate matter 25 micron in diameter (PM 25)

Particulate matter is the term for solid or liquid particles found in the air

The major reason for revisions to the historical data for the AQI is that changes in the National Ambient Air Quality Standards (NAAQS) are retroactively applied to the data for previous years to provide consistent comparisons over time In addition data from monitoring stations that have fallen belowsurpassed the criterion to qualify as a trend site is excludedincluded in the latest calculation of the index

US Environmental Protection Agency Office of Air and Radiation Air Trends Air Quality Index Information available at httpwwwepagovairairtrendsaqi_infohtml as of February 2009

The Air Quality Index (AQI) integrates information on 6 major pollutants (particulate matter less than 10 microns in diameter particulate matter less than 25 microns in diameter sulfur dioxide carbon monoxide ozone and nitrogen dioxide) across an entire monitoring network into a single number that representsthe worst daily air quality experienced in an urban area An AQI greater than 100 indicates that at least 1 criteria pollutant exceeded air quality standards on a given day therefore air quality would be in the unhealthful range on that day Air quality monitoring sites are selected as trend sites if they have complete data for at least 8 of the 10 last years

SOURCE

KEY AQI = Air Quality Index R = revised NOTES

O3 e CO SO2 PM-10 Pb NO2 O3 CO SO2 PM-10 Pb Total exposed1 AK Anchorage 1 1 255 195 2552 AK Fairbanks 1 39 393 AK Juneau 1 13 134 AL Birmingham 1 805 8055 AZ Ajo 1 1 7 7 76 AZ Douglas 1 1 15 15 157 AZ Miami-Hayden 2 1 4 4 48 AZ Morenci 1 8 89 AZ Nogales 1 24 24

10 AZ Paul Spur 1 1 111 AZ Phoenix 1 1 1 3028 3028 3111 311112 AZ Rillito 1 0 013 AZ San Manuel 1 7 714 AZ Yuma 1 82 8215 CA Imperial Valley 1 119 11916 CA Los Angeles-South Coast Air Basin 1 1 1 14550 14550 14550 1455017 CA Mono Basin (in Mono Co) 1 0 018 CA Owens Valley 1 7 719 CA Sacramento Metro 1 1 1978 1223 197820 CA San Diego 1 2813 281321 CA San Francisco-Oakland-San Jose 1 6541 654122 CA San Joaquin Valley 2 1 3302 3080 330223 CA Santa Barbara-Santa Maria-Lompoc 1 399 39924 CA Searles Valley 3 22 2225 CA Southeast Desert Modified AQMA 1 2 1024 424 102426 CA Ventura Co 1 753 75327 CO Aspen 1 5 528 CO Denver-Boulder 1 2389 238929 CO Fort Collins 1 143 14330 CO Lamar 1 8 831 CO Steamboat Springs 1 9 932 CT Greater Connecticut 1 1 2532 123 253233 DC-MD-VA Washington 1 4544 454434 DE Sussex County 1 156 15635 GA Atlanta 1 3698 369836 GUb Piti Power Plant 1 1 137 GUb Tanguisson Power Plant 1 1 138 ID Boise 1 197 19739 ID Bonner Co (Sandpoint ) 1 36 3640 ID Pocatello Area 2 66 6641 ID Shoshone Co 2 12 1242 IL-IN Chicago-Gary-Lake County 1 1 3 8757 484 322 875743 KY-WV Ashland-Huntington 1 49 4944 LA Baton Rouge 1 636 63645 MA Boston-Lawrence 1 5883 588346 MA Springfield (W Mass) 1 814 81447 MD Baltimore 1 2512 251248 MD Kent and Queen Anne Cos 1 59 5949 ME KnoxLincoln County 1 73 7350 ME Lewiston-Auburn 1 220 22051 ME Portland 1 487 48752 MO Liberty-Arcadia 1 6 653 MO-IL St Louis 1 g1 2482 2 248254 MT BillingsLaurel (Yellowstone Co) 1 6 655 MT Butte 1 34 3456 MT Columbia Falls 1 3 357 MT East Helena (Lewis amp Clark Co) 1 1 2 2 258 MT Kalispell 1 15 1559 MT Lame Deer 1 0 060 MT Libby 1 3 361 MT Missoula 1 1 52 52 5262 MT Polson 1 3 363 MT Ronan 1 2 264 MT Thompson Falls 1 1 165 MT Whitefish 1 5 566 NH Manchester 1 364 36467 NH Portsmouth-Dover-Rochester 1 192 19268 NJ Atlantic City 1 354 35469 NM Anthony 1 2 270 NM Grant Co 1 31 3171 NM Sunland Park f1 10 10

Table 4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants(Condensed nonattainment area list as of September 2003)

States Consolidated nonattainment area name aRef noNumber of areas in nonattainment d Area population in 1000s h

O3 e CO SO2 PM-10 Pb NO2 O3 CO SO2 PM-10 Pb Total exposed

Table 4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants(Condensed nonattainment area list as of September 2003)

States Consolidated nonattainment area name aRef noNumber of areas in nonattainment d Area population in 1000s h

72 NV Lake Tahoe 1 29 2973 NV Las Vegas 1 1 478 1375 137574 NV Reno 1 1 1 339 178 339 33975 NY Albany-Schenectady 1 892 89276 NY Buffalo-Niagara Falls 1 1170 117077 NY Essex City Whiteface 1 0 078 NY Jefferson Co 1 111 11179 NY Poughkeepsie 1 600 60080 NY-NJ-CT New York-N New Jersey-Long Island 1 1 19171 1537 1917181 OH Cleveland-Akron-Lorain 1 1095 109582 OH Lucas Co (Toledo) 1 455 45583 OH-KY Cincinnati-Hamilton 1 1514 151484 OH-PA Youngstown-Warren 1 120 12085 OR Grants Pass 1 20 2086 OR Klamath Falls 1 19 1987 OR LaGrande 1 12 1288 OR Lakeview 1 3 389 OR Medford 1 78 7890 OR Oakridge 1 3 391 OR Springfield-Eugene 1 179 17992 OR Salem 1 135 13593 PA Altoona 1 129 12994 PA Erie 1 280 28095 PA Harrisburg-Lebanon 1 629 62996 PA Johnstown 1 232 23297 PA Lancaster 1 470 47098 PA Pittsburgh-Beaver Valley 1 2 1 335 410 21 41099 PA Scranton-Wilkes-Barre 1 763 763

100 PA Warren Co 2 20 20101 PA York 1 473 473102 PA-DE-NJ-MD Philadelphia-Wilmington-Trenton 1 6311 6311103 PA-NJ Allentown-Bethlehem 1 1 740 102 740104 PR Guaynabo Co 1 92 92105 RI Providence (all of RI) 1 1048 1048106 TX Beaumont-Port Arthur 1 385 385107 TX Dallas-Fort Worth 1 4589 4589108 TX El Paso 1 1 1 679 62 563 679109 TX Houston-Galveston-Brazoria 1 4669 4669110 UT Ogden 1 77 77111 UT Salt Lake City 1 1 898 898 898112 UT Tooele Co 1 40 40113 UT Utah Co (Provo) 1 1 118 368 368114 VA Smyth Co White Top 1 0 0115 WA Spokane 1 1 322 204 322116 WA Wallula 1 0 0117 WA Yakima 1 1 63 63118 WI Door Co 1 27 27119 WI Manitowoc Co 1 82 82120 WI Milwaukee-Racine 1 1839 1839121 WV Follansbee 1 2 2122 WV New Manchester Gr (in Hancock Co) 1 9 9123 WV Wier-Butler-Clay (in Hancock Co) 1 1 16 15 16124 WY Sheridan 1 15 15

56 16 24 67 3 0 116228 19921 3660 31850 10 125730

c National total includes Guam (US territory)

e 1-hour ozone standardf Ozone nonattainment area is a portion of Dona Ana County New Mexicog Lead nonattainment area is Herculaneum Missouri in Jefferson County

The Total exposed values represent estimated population living in areas that are in nonattainment for at least one pollutant

NOTEReference numbers 1-124 do not indicate ranking

SOURCE

US Environmental Protection Agency Office of Air Quality Planning and Standards National Air Quality and Emissions Trends Report 2003 (Research Triangle Park NC 2003) table A-19 Internet website httpwwwepagovairtrends as of Nov 17 2006

KEY CO = carbon monoxide NO2 = nitrogen dioxide O3 = ozone Pb = lead PM-10 = particulate matter smaller than 10 microns SO2 = sulfur dioxide = all areas in attainment for a particle or pollutant

a This is a simplified listing of classified nonattainment areas Unclassified and Section 185a (transitional) nonattainment areas are not included Names of nonattainment areas are listed alphabetically within each state Note that several smaller nonattainment areas may be inside one larger nonattainment area In these cases the smaller nonattainment areas are listed on the same line as the larger one and the number of nonattainment areas are indicated under each pollutant b Guam (US territory)

d The number of nonattainment areas for each of the criteria pollutants is listed A dot () indicates that all areas are in attainment for that pollutant

h Population figures were obtained from the 2000 census data For nonattainment areas defined as only partial counties population figures for just the nonattainment area were used when these were available Otherwise whole county population figures were used When a larger nonattainment area encompasses a smaller one double counting the population in the Total exposed column is avoided by only counting the population of the larger nonattainment area

National totals (124 areas)c

Table 4-49 US Carbon Dioxide Emissions from Energy Use by Sector (Million metric tons of carbon)Sector (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 (P) 2007Total US CO2 Emissions from energy use by sector 13686 13556 13826 14113 14328 14476 14985 15209 15312 15482 15969 15694 15873 16002 16270 16295 16108 16337Transportation 4316 4258 4315 4392 4504 4587 4705 4756 4853 4986 5107 5047 5156 5174 5342 5421 5491 5493Natural gas 99 90 88 93 103 105 107 114 96 98 97 95 103 92 87 91 91 97Electricity 09 09 09 09 09 09 09 09 09 09 10 10 10 12 13 13 13 14Petroleum 4208 4159 4218 4290 4393 4473 4589 4633 4747 4879 4999 4943 5044 5070 5242 5317 5387 5383

Motor gasoline 2623 2606 2644 2726 2759 2808 2856 2882 2966 3041 3060 3074 3152 3162 3221 3227 3234 3219Liquid petroleum gas 04 03 03 03 05 03 03 02 03 02 02 02 02 03 03 05 05 05Jet fuel 607 587 582 587 610 606 633 639 649 669 692 662 646 631 654 672 653 649Distillate fuel 730 718 735 757 804 837 892 932 960 998 1030 1056 1076 1130 1183 1212 1279 1288Residual fuel 218 220 230 194 190 196 183 153 145 143 191 126 145 123 159 180 195 200Lubricants 18 16 16 17 17 17 16 17 18 18 18 17 16 15 15 15 15 15Aviation gas 08 08 08 07 07 07 07 07 07 07 07 07 06 06 06 07 06 06

Industrial 4600 4483 4688 4662 4744 4741 4887 4964 4895 4836 4872 4679 4678 4688 4757 4560 4506 4471Residential 2623 2665 2669 2834 2815 2834 2996 2972 2991 3055 3222 3186 3262 3340 3329 3422 3267 3407Commercial 2148 2150 2155 2225 2264 2314 2397 2517 2573 2606 2768 2782 2776 2801 2842 2891 2844 2965Total US CO2 Emissions (Incl adj and other sources)a 13693 13563 13864 14201 14436 14585 15092 15301 15375 15566 16069 15836 16036 16195 16427 16450 16214 16422KEY CO2 = carbon dioxide P = preliminary R = revised

a Adjustments comprise the addition of US territories and the subtraction of military bunker fuels and international bunker fuels Other sources comprise the addition of gas flaring CO2 in natural gas cement production other industrial and limestone consumption

NOTESElectric utility emissions are distributed across end-use sectorsNumbers may not add to totals due to independent roundingTons of carbon can be converted to tons of carbon dioxide gas by multiplying by 3667 One ton of carbon equals 3667 tons of carbon dioxide gasNumbers in this table may not be comparable to the numbers in the previous edition of the report due to changes in methodology of estimation by the Energy Information Administration

SOURCEUS Department of Energy Energy Information Administration Emissions of Greenhouse Gases in the United States 2007 (Washington DC 2007) available at httpwwweiadoegovoiaf1605ggrptindexhtml as of March 2009

Section EWater Pollution Noise

and Solid Waste

Table 4-50 Petroleum Oil Spills Impacting Navigable US Waterways1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004

Source IncidentsGallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled

TOTAL all spills 6169 8436248 8177 7915007 9038 2638229 9335 3117831 8624 942574 8315 885303 8539 1172449 8354 1431370 7559 854520 4497 638882 4192 401140 3897 1416714Vessel sources total 1662 4862911 2485 6387158 5478 1624153 5586 1681020 5347 380879 5172 621235 5680 576475 5560 1033643 5021 569856 1816 247382 1715 210805 1705 1306557

Tankship 164 732397 249 4977251 148 125491 122 219311 124 22429 104 56673 92 8414 111 608176 95 125217 55 4753 38 4450 35 636834Tank barge 385 3683548 457 992025 353 1101938 313 1163258 252 165649 220 248089 227 158977 229 133540 246 212298 126 30219 156 102874 143 215822Other vesselsa 1113 446966 1779 417882 4977 396724 5151 298451 4971 192801 4848 316473 5361 409084 5220 291927 4680 232341 1635 212410 1521 103481 1527 453901

Nonvessel sources total 2802 3250229 2584 1408472 1116 958222 1078 1408303 1356 501265 1553 246716 1615 551381 1645 373761 1465 270523 1286 200871 1140 78563 1137 70456Offshore pipelines 23 17977 73 46228 7 1143 4 386 13 810 10 843 5 35707 4 17 13 1241 0 0 1 14952 0 0Onshore pipelines 362 759040 76 270700 23 10751 13 978006 19 223312 35 47020 20 433 21 17004 21 12336 0 0 0 0 1 15000Otherb 2417 2473212 2435 1091544 1086 946328 1061 429911 1324 277143 1508 198853 1590 515241 1620 356740 1431 256946 1286 200871 1139 63611 1136 55456

Mysteryc 1705 323108 3108 119377 2444 55854 2671 28508 1921 60430 1590 17352 1244 44593 1149 23966 1073 14141 1395 190630 1337 96819 1055 39700

a Other vessels include commercial vessels fishing boats freight barges freight ships industrial vessels oil recovery vessels passenger vessels unclassified public vessels recreational boats research vessels school ships tow and tug boats mobile offshore drilling units offshore supply vessels publicly owned tank and freight ships as well as vessels not fitting any particular class (unclassified)b Other nonvessel sources include designated waterfront facilities nonmarine land facilities fixed offshore and inshore platforms mobile facility municipal facility aircraft land vehicles railroad equipment bridges factories fleeting areas industrial facilities intakes locks marinas MARPOL reception facilities nonvessel common carrier facilities outfalls sewers drains permanently moored facilities shipyards ship repair facilitiesc Mystery spills are spills from unknown or unidentified sources US Coast Guard investigators are unable to identify the vessel or facility that spilled the oil into US navigable waters

SOURCEUS Coast Guard Oil Spill Compendium 2004 available at httpwwwuscgmilhqg-mnmcresponsestatsaahtm as of Aug 7 2007

10182007 NTS 2002 USCG

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total confirmed releases 87528 126816 184457 237022 270567 303635 317488 341773 371387 397821 412392 418918 427307 439385 447233 452041 464728 474127Cleanups initiated 51770 79506 129074 171082 209797 238671 252615 292446 314965 346300 367603 379243 384029 403558 412657 421924 435631 446940Cleanups not initiated 35758 47310 55383 65940 60770 64964 64873 49327 56422 51521 44789 39675 43278 35827 34576 30117 29097 27187Cleanups completed 16905 26666 55444 87065 107448 131272 152683 178297 203247 228925 249759 268833 284602 303120 317405 332799 350813 365361Releases not cleaned up 70623 100150 129013 149957 163119 172363 164805 163476 168140 168896 162633 150085 142705 136265 129828 119242 113915 108766

Table 4-51 Leaking Underground Storage Tank Releases and Cleanups

SOURCES1990 US Environmental Protection Agency Office of Underground Storage Tanks personal communications Nov 17 and 18 19981991-2006 Ibid Internet site httpwwwepagovswerust1catcamarchvhtm as of Feb 22 2008

All numbers are cumulativeData represent fiscal year October 1 through September 30

NOTES

Unknown 1963-1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004Total 1963-

2004TOTAL length 6 328 54 45 65 54 106 103 64 99 (R) 143 88 89 (R) 133 54 (R) 102 (R) 140 (R) 54 (R) 82 (R) 132 78 89 105 2205Type I barriersa d6 210 39 30 40 35 83 88 44 78 114 63 47 (R) 95 37 (R) 70 (R) 116 (R) 31 (R) 67 (R) 95 63 78 88 1613Type II barriersb 0 114 14 14 24 16 8 8 19 18 18 21 16 32 15 31 23 (R) 18 (R) 11 (R) 18 13 4 14 471All other typesc N 4 1 1 1 3 15 7 1 3 (R) 11 4 26 (R) 6 2 (R) 1 1 (R) 5 (R) 4 (R) 19 2 7 3 121Cost (2004 $ millions) 0 329 67 57 106 72 168 163 108 176 228 144 135 203 79 180 242 110 147 207 190 171 159 3442

c All other types of barriers are nonfederally fundedd Have not been assigned a year of construction or a cost

Table 4-52 Highway Noise Barrier Construction (Miles)

US Department of Transportation Federal Highway Administration Office of Environment and Planning Highway Traffic Noise Barrier Construction Trends (Washington DC May 2006) tables 1 and 3

KEY N = data do not exist R = revised

SOURCE

NOTESForty-five miles of barriers while assigned a year of construction cannot be assigned a cost California did not provide data for the years 1999 - 2004 and therefore these years may not be comparable with previous years

a A Type I barrier is built on a new highway project or a physically altered existing highway b A Type II barrier is built to abate noise along an existing highway (often referred to as retrofit abatement) and is not mandatory

182007 NTS 2002 FHWA

Table 4-53 Number of People Residing in High Noise Areas Around US Airportsabc

(Within 65 dB DNL noise-level contours)Exposure

YearPeople

(thousands)

Percent of US resident

population

US resident population (millions)

1975 7000 324 21601980 5200 229 22721985 3400 143 23791990 2700 108 24961995 1700 064 26631996 1500 056 26941997 1300 048 27261998 1100 040 27591999 680 024 27902000 440 016 28222001 411 014 28512002 294 010 28792003 289 010 29082004d 208 007 29372005d

148 005 2964KEY dB = decibels DNL = day-night sound level R = revised N = Not applicable

a Noise-level contours are graphical representations of noise levels on a map similar to elevation contours on a topographic map Noise-level contours are lines that join points of equal sound levels Areas between given noise-level contour lines would have a noise level between the two contour values The US Department of Transportation Federal Aviation Administration (FAA) has identified DNL 65 dB as the highest threshold of airport noise exposure that is normally compatible with indoor and outdoor activity associated with a variety of land uses including residential recreational schools and hospitalsb Estimates are for areas surrounding airport property of 250 of the largest civil airports with jet operations in the United States They exclude exposure to aircraft noise within an airport boundaryc 1975 exposure estimates were made by the US Environmental Protection Agency 1980ndash2003 estimates were made by FAA dAs of 2004 the FAA no longer publishes the number of people exposed to noise These are now tracked as percent reduction numbers which were used to compute the exposure values for these yearsSOURCESExposure

1975-2005 US Department of Transportation Federal Aviation Administration Office of Environment and Energy (AEE-12) personal communications Sept 19 2002 Jan 18 2004 Mar 15 2005 and June 21 2007 Performance and Accountability ReportPopulation1975-85 US Department of Commerce Census Bureau Historical National Population Estimates Internet site httpwwwcensusgovpopestarchives1990spopclockesttxt as of Mar 17 20051990-99 Ibid National Intercensal Estimates Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INThtml as of Mar 17 20052000-05 Ibid Monthly Population Estimates for the United States Internet site httpwwwcensusgovpopestnationalNA-EST2004-01html as of June 19 2007

Table 4-54 Motor Vehicles Scrapped (Thousands)1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL motor vehicles 8298 6576 10137 9829 11073 10850 12781 8413 12369 10332 10811 12509 11665 11664 14299 14122 13296 12085 11903 9989 12008 12707Passenger cars 7461 5669 8405 7729 8897 8565 11194 7366 7824 7414 7527 8244 6819 7216 8085 7650 U U U U U UTrucks 837 908 1732 2100 2177 2284 1587 1048 4545 2918 3284 4265 4846 4447 6214 6472 U U U U U U

KEY U = data are not available

NOTESFigures represent vehicles that are not re-registeredNumbers may not add to totals due to rounding

SOURCES1970-2001 The Polk Co personal communication July 31 20022002-07 National Automobile Dealers Association NADA Data Vehicles in Operation and Scrappage available at httpwwwnadaorgPublicationsNADADATA as of February 2009

appendix a

Metric Conversion Tables

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Highwaya 5706240 5937942 6002985 6176897 6211806 6218364 6223214 6250563 6278181 6284828 6287055 6296117 6308068 6350265 6286564 6304192 6334735 6354229 6383439 6395705 6407622 6430351 6464318Class I railbc 333672 321544 316202 308222 265255 234584 192732 187691 181946 177712 175953 174234 170235 164359 161852 160017 159727 157421 161136 159528 157172 154223 152794Amtrakc N N N N 38624 38624 38624 40234 40234 40234 40234 38624 40234 40234 35406 37015 37015 37015 37015 36492 35818 35417 34936Transitd

Commuter railc N N N N N 5752 6649 6498 6457 6583 6583 6695 5926 7108 8324 8354 8383 8382 10993 10959 11065 11455 11220Heavy rail N N N N N 2081 2174 2203 2258 2336 2342 2346 2379 2457 2457 2478 2507 2530 2530 2571 2569 2610 2613Light rail N N N N N 618 777 887 898 865 904 913 1027 1061 1088 1291 1343 1444 1544 1603 1910 1912 2060Navigable channelse 40234 40234 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843Oil pipelinef 307295 339358 351917 363533 351469 343764 335954 328029 316309 312181 306339 292759 285715 289478 287506 285599 284847 (R) 254675 (R) 259088 (R) 257316 260183 256710 272536Gas pipelineg 1015416 1235204 1469761 1575971 1692666 1800655 1913832 1944409 1957123 2055454 2073479 2056098 2130128 2143324 2174546 2157004 2203675 2210434 2271428 2292028 2353344 2313432 2469216

1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 58 2001-06 US Department of Transportation Pipeline and Hazardous Materials Administration Office of Pipeline Safety Pipeline Statistics Internet site httpopsdotgovstatshtm as of March 31 2008Gas pipeline1960-2006 American Gas Association Gas Facts 2005 (Arlington VA 2006) table 5-1 and similar tables in earlier editions

1997-99 Ibid Waterborne Commerce Statistics Center Databases personal communication Aug 3 20012000-04 Ibid personal communication Apr 21 20062005-06 US Army Corps of Engineers personal communication Dec 12 2006(Pending confirmation for 2006)Oil pipeline

Transit 1985-2006 US Department of Transportation Federal Transit Administration National Transit Database 2005 (Washington DC 2006) table 23 and similar tables in earlier editions Internet site httpwwwntdprogramgovntdprogram as of Nov 9 2007Navigable channels1960-96 US Army Corps of Engineers Ohio River Division Huntington District Ohio River Navigation System Report 1996 Commerce on the Ohio River and its Tributaries (Fort Belvoir VA 1996) p 2

Amtrak1980 Amtrak Corporate Planning and Development personal communication (Washington DC)1985-2001 Amtrak Corporate Planning and Development Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar tables in earlier editions

1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC Annual issues) table HM-212

1996-2006 Ibid Highway Statistics table HM-20 (Washington DC Annual issues) Internet site httpwwwfhwadotgovpolicyohpihssindexhtm as of Feb 18 2008Class I rail1960-2006 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 45 and similar tables in earlier editions

1609344 kilometers = 1 mile

SOURCESHighway

f Includes trunk and gathering lines for crude-oil pipelineg Excludes service pipelines Data not adjusted to common diameter equivalent Kilometers as of the end of each year Includes gathering transmission and distribution mains Prior to 1990 data also include field lines See table 1-10 for a more detailed breakout of oil and gas pipeline kilometers Length data reported in Gas Facts prior to 1990 was taken from the American Gas Associations member survey the Uniform Statistical Report supplemented with estimates for companies that did not participate Gas Facts length data is now based on information reported to the US Department of Transportation on Form 7100

NOTE

b Data represent kilometers of road owned (aggregate length of road excluding yard tracks sidings and parallel lines)c Portions of Class I freight railroads Amtrak and commuter rail networks share common trackage Amtrak data represent kilometers of road operatedd Transit system length is measured in directional route-kilometers Directional route-kilometers is the distance in each direction over which public transportation vehicles travel while in revenue service Directional route-kilometers are computed with regard to direction of service but without regard to the number of traffic lanes or rail tracks existing in the right-of-way Beginning in 2002 directional route-kilometers data for the commuter and light rail modes include purchased transportation The 2002 data has been revised to include purchased transportation data

e These are estimated sums of all domestic waterways which include rivers bays channels and the inner route of the Southeast Alaskan Islands but does not include the Great Lakes or deep ocean traffic The Waterborne Commerce Statistics Center monitored 20297 kilometers as commercially significant inland shallow-draft waterways in 2001

Table 1-1M System Kilometers Within the United States

KEY N = data do not exist U = data are not available

a All public road and street kilometers in the 50 states and the District of Columbia For years prior to 1980 some kilometers of nonpublic roadways are included No consistent data on private road kilometers are available Beginning in 1998 approximately 70000 kilometers of Bureau of Land Management Roads are excluded

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 d1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL lane-kilometers 12749503 12903711 12956959 13016041 13074455 13087501 13104911 13129436 13162268 13264917 13133628 13161188 13235639 13280060 13349784 13381890 13420032 13472974 13551624Urban total 2245429 2482154 2688403 2708127 2830403 2902894 2938464 2961365 2989596 3029873 3044248 3051294 3082703 3165655 3229046 3393543 3539197 3642525 3715335

Interstates 77986 92207 100124 101109 108254 111341 113993 114870 115535 116286 117492 117954 118950 119837 120873 128089 133456 138381 141532Other arterialsb 536995 598111 642733 647536 673041 700686 712093 717491 723368 730035 730739 724866 734152 736383 744893 779198 813247 843036 857673Collectors 233561 261320 270000 266005 283465 289123 295078 297780 300823 303925 301805 299876 303474 305032 307132 333707 350274 362984 373131Local 1396888 1530515 1675546 1693477 1765643 1801744 1817300 1831224 1849870 1879627 1894212 1908598 1926127 2004404 2056148 2152549 2242220 2298124 2342999

Rural total 10504074 10421557 10268556 10307914 10244052 10184606 10166447 10168070 10172671 10235043 10089380 10109894 10152936 10114405 10120738 9988347 9880835 9830449 9836290Interstates 210792 212284 218663 219680 214794 212655 211252 212298 213983 214308 214415 215971 216597 216679 216569 209833 205817 202076 200170Other arterialsb 816095 820773 832581 833339 847664 846364 852659 854089 857549 864200 865816 867908 869781 872807 875501 859837 856243 852236 846010Collectorsc 2303401 2360568 2361876 2361810 2319815 2308561 2304885 2281129 2279896 2283075 2278467 2275537 2276686 2275862 2267167 2234598 2222041 2210189 2209478Local 7173786 7027931 6855435 6893084 6861779 6817027 6797650 6820554 6821243 6873460 6730682 6750479 6789872 6749058 6761501 6684079 6596733 6565948 6580632

1996-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-60 Internet site wwwfhwadotgovpolicyohpi as of Jan 4 2008

In estimating rural and urban lane kilometers the US Department of Transportation Federal Highway Administration assumes that rural minor collectors and urbanrural local roads are two lanes wide

SOURCES

1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management table HM-260 (unpublished)

c Includes minor and major collectors d Beginning in 1998 approximately 138400 lane-kilometers of Bureau of Land Management roads are excluded

NOTE

Table 1-6M Estimated US Roadway Lane-Kilometers by Functional Systema

a Includes the 50 States and the District of Columbiab For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterials

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air

Air carrier large certificated domestic all services 1381 1825 3328 3135 4060 4902 6378 6202 6429 6690 7049 7450 7743 7903 8103 8582 9115 8929 9039 9793 10544 10806 10652General aviationa 2847 4123 5161 6820 8375 7520 7319 7081 5576 5235 5404 6107 5671 6239 N N N N N N N N N

Highwayb total 1156735 1428795 1785928 2136668 2457943 2856306 3451016 3495576 3616439 3695662 3794170 3898951 4000585 4122648 4235024 4330835 4420747 4501797 4595495 4651728 4771364 (R) 4811021 4850749Passenger carbc 944704 1163066 1475286 1663981 1788940 2006527 2266384 2185787 2207326 2212380 2262881 2314710 2365501 2418129 2493802 2525222 2575412 2620546 2669055 2690950 2735708 (R) 2749437 2707996Motorcyclec h h 4794 9059 16438 14622 15381 14771 15381 15942 16480 15767 15965 16224 16549 17033 16848 15512 15372 15413 16290 (R) 16824 19957Other 2-axle 4-tire vehicleb h h 198410 322995 468214 629191 924682 1045098 1137586 1200168 1230559 1271428 1314094 1369132 1397353 1450054 1485519 1517945 1554681 1583746 1653060 (R) 1675409 1752597Truck single-unit 2-axle 6-tire or more 158602 207234 43583 55693 64073 73130 83527 85131 86702 91366 98627 100914 103114 107654 109469 113143 113459 116594 122094 125138 126239 (R) 126327 129280Truck combination 46436 50960 56543 75195 110527 125630 151827 155535 160146 165949 175309 185800 191349 200499 206574 213051 217294 219811 223276 225566 229122 (R) 231791 229663Bus 6994 7533 7313 9745 9751 7207 9215 9254 9299 9857 10314 10332 10562 11011 11277 12331 12215 11389 11016 10916 10945 (R) 11233 11256

Transitd total 3449 3232 3031 3502 3680 4492 5217 5321 5399 5528 5580 5714 5875 (R) 6029 (R) 6106 (R) 6394 (R) 6569 6753 (R) 6889 (R) 7029 (R) 7181 (R) 7420 7539Motor buse 2537 2460 2268 2456 2699 2998 3428 3487 3505 3556 3479 3514 3574 3612 3500 3663 3726 3825 3880 3896 3977 4015 4015Light rail 120 67 54 38 28 27 39 44 46 45 55 56 61 66 70 78 85 87 98 103 108 111 120Heavy rail 629 636 655 681 619 725 864 848 846 840 856 865 874 898 910 930 958 979 999 1014 1014 1040 1049Trolley bus 162 69 53 25 21 25 22 22 22 21 22 22 22 23 22 23 24 21 (R) 23 22 22 21 20Commuter rail N N N 278 288 295 342 346 352 360 371 383 389 403 418 428 436 446 457 460 474 488 507Demand responsivee N N N N N 398 492 539 585 653 746 815 882 942 1080 1156 1221 1270 1292 1390 1432 1574 1630Ferry boat N N N N i i 4 4 4 4 3 5 4 5 5 5 5 5 5 6 6 6 6Other N N N 24 25 24 26 31 39 48 47 55 69 80 101 111 114 121 (R) 135 136 149 (R) 165 192

RailClass I freight train-kilometers 650 678 687 649 689 558 612 604 628 653 710 737 754 764 764 789 811 804 804 830 861 881 905Class I freight car-kilometers 45335 47212 48103 44508 47117 40105 42099 41244 42049 43264 45842 48897 51040 50952 52556 54478 55667 55109 55812 57220 59660 60692 62692IntercityAmtrakf train-kilometers 336 277 150 48 48 48 53 55 55 56 55 51 48 51 53 55 56 58 61 60 60 58 58IntercityAmtrakf car-kilometers 3554 2857 1110 407 378 404 484 504 494 488 489 470 444 463 502 550 592 608 609 534 496 426 425

Total train-kilometersg 987 954 837 697 737 607 665 658 682 709 764 789 803 816 818 843 867 862 865 891 920 939 963

Table 1-32M US Vehicle-Kilometers (Millions)

KEY N = data do not exist R = revised U = data are not available

a All operations other than those operating under 14 CFR 121 and 14 CFR 135 Data for 1996 are estimated using new information on nonrespondents and are not comparable to earlier years Mileage in source is multiplied by 1151 to convert to nautical-miles for 1985-1997b In July 1997 the FHWA published revised vehicle-miles data for the highway modes for many years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category This category was calculated prior to roundingc US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary report provides updated data for passenger car and motorcycle combined Passenger car figures in this table were computed by US Department of Transportation Bureau of Transportation Statistics by subtracting the most current motorcycle figures from the aggregate passenger car and motorcycle figuresd Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-milese Motor bus and demand responsive figures are also included in the bus figure for highwayf Amtrak began operations in 1971g Although both train-miles and car-miles are shown for rail only train-miles are included in the total A train-mile is the movement of a train which can consist of multiple vehicles (cars) the distance of 1 mile This differs from a vehicle-mile which is the movement of 1 vehicle the distance of 1 mile A 10-vehicle train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles with vehicle milesh 1960ndash65 motorcycle data are included in passenger car and other 2-axle 4-tire vehicle data included in single-unit 2-axle 6-tire or more trucki Ferry boat included with other

NOTENumbers may not add to totals due to rounding

SOURCESAirAir carrier

1 mile = 1609344 kilometers

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)

1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) p 3 line 25 plus line 46General aviation1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1972 (Washington DC 1973) table 9101970-75 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1976 (Washington DC 1976) table 8-51980 US National Transportation Safety Board estimate personal communication Dec 7 19981985-92 Ibid General Aviation Activity and Avionics Survey (Washington DC Annual issues) table 331993-97 Ibid General Aviation and Air Taxi Activity and Avionics Survey (Washington DC Annual issues) table 33 HighwayPassenger car and motorcycle1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmMotorcycle1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmTransit

1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmOther 2-axle 4-tire vehicle1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtm

2001-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77

IntercityAmtrak train-miles1960-70 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 391975-2001 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77IntercityAmtrak car-miles1960-75 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 401980-2000 Amtrak Amtrak Corporate Reporting Route Profitability System personal communication 2001

1960-2006 American Public Transit Association Public Transportation Fact Book (Washington DC Annual issues) table 10 54 and similar tables in earlier editionsRailClass I rail freight train- and car-miles1960-2006 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 33 (train-miles) and p 34 (car-miles)

Single-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM201A

TABLE 1-33M Roadway Vehicle-Kilometers Traveled (VKT) and VKT per Lane-Kilometers by Functional Class1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Urban VKT total (millions) 1376416 1680313 2052693 2073635 2193623 2268647 2332337 2397173 2452457 2499240 2567901 2619397 2677583 2697870 2780296 2905683 3045305 3141230 3181749Interstate 259494 347921 448848 459186 488058 510804 532012 549636 565812 581670 602896 616796 633221 643561 657607 696255 731262 754895 768113Other arterialsa 779227 930635 1125306 1138640 1199956 1245597 1284094 1311889 1343196 1362514 1388857 1413250 1449040 1470499 1508530 1567398 1641674 1686945 1706062Collector 133645 144162 171068 172652 186789 189721 193263 204272 208104 209450 212281 211794 217860 221964 228324 247438 260888 270431 278754Local 204050 257595 307470 303157 318821 322525 322968 331375 335345 345607 363868 377557 377462 361847 385835 394592 411482 428959 428819

Rural VKT total (millions) 1081527 1175993 1398324 1421941 1422816 1427015 1461833 1501983 1545282 1608180 1661693 1710126 1743164 1778459 1815598 1746758 1722397 1670398 1669001Interstate 217397 248414 322147 329933 330812 335239 346923 359498 374277 386653 404782 418697 431594 440999 450555 434434 429688 416482 415071Other arterialsa 422894 455127 532477 538736 553714 562574 575065 593196 609695 630955 649345 665174 676888 687101 698141 670446 659741 642019 634885Collectorb 304919 332602 386983 395303 378051 364188 371000 380043 387900 408934 414998 425596 430067 436071 442581 424323 419928 404890 404549Local 136318 139850 156716 157968 160239 165014 168844 169245 173410 181639 192568 200659 204615 214287 224320 217554 213040 207007 214497

Urban VKT per lane-kilometer total (thousands) 987 1089 1229 1233 1247 1259 1278 1304 1320 1327 1358 1382 1398 1372 1386 1378 1385 1388 1378

Interstate 5355 6072 7215 7310 7255 7384 7511 7699 7881 8050 8258 8415 8567 8643 8756 8748 8818 8779 8734Other arterialsa 2335 2504 2818 2829 2869 2861 2902 2943 2988 3004 3059 3138 3176 3214 3259 3237 3249 3220 3201Collector 921 888 1020 1044 1061 1056 1054 1104 1113 1109 1132 1137 1155 1171 1196 1193 1199 1199 1236Local 235 271 295 288 291 288 286 291 292 296 309 318 315 291 302 295 295 300 295

Rural VKT per lane-kilometer total (thousands) 166 182 219 222 224 225 232 238 244 253 265 272 276 283 289 281 281 273 273

Interstate 1660 1883 2371 2417 2478 2536 2643 2725 2815 2904 3038 3120 3207 3275 3348 3332 3360 3317 3337Other arterialsa 834 892 1029 1040 1051 1070 1085 1118 1144 1175 1207 1233 1252 1267 1283 1255 1240 1212 1198Collectorb 213 227 264 269 262 254 259 268 274 288 293 301 304 308 314 306 304 295 296Local 31 32 37 37 37 39 40 40 41 43 46 48 48 51 53 52 52 51 52

a For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterialsb Collector is the sum of major and minor collectors (rural only)

NOTESee table 1-6 for estimated highway lane-miles by functional class1 Mile=1609344 KilometersSOURCES1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-202 1995-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-2 Internet site wwwfhwadotgovpolicyohpi as of Jan 4 2008Lane-miles1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management unpublished data 1997 table HM-2601996-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-60 Internet site wwwfhwadotgovpolicyohpi as of Jan 4 2008

Table 1-35M Average Length of Haul Domestic Freight and Passenger Modes (Kilometers)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

Freight

Air carrier 1534 1518 1632 1741 1693 1862 2235 2166 2239 2168 1965 1867 1901 1733 1735 1611 1580 1566 U U

Trucka

438 417 423 460 584 589 629 641 660 655 631 669 686 700 711 737 761 781 U U

Class I rail 742 810 829 870 991 1069 1168 1209 1227 1278 1315 1356 1355 1369 1344 1344 1357 1382 1373 1388

Coastwise (water) 2408 2416 2429 2192 3082 3174 2582 2744 2835 2656 2658 2658 2456 2140 2030 2059 2013 1976 1961 2009

Lakewise (water) 840 795 814 853 863 843 890 861 836 827 817 827 817 815 812 806 814 818 851 852

Internal (water) 454 478 531 576 652 700 753 777 771 752 775 795 768 750 759 785 775 766 777 735

Intraport (water) U U U 26 27 24 20 21 20 20 25 26 27 25 25 25 25 24 24 25

Crude (oil pipeline) 523 515 483 1019 1402 1250 1307 1323 1336 1271 1252 1283 1254 1257 1234 1233 U U U U

Petroleum products (oil pipeline) 433 539 575 830 666 629 623 610 610 653 666 647 665 665 676 673 U U U U

Passenger

Air carrier domestic scheduled 938 988 1091 1123 1184 1220 1292 1297 1297 1286 1267 1273 1291 1315 1307 1326 1340 1356 1368 1355

Bus intercity 127 151 171 182 201 195 227 230 219 222 222 225 230 232 232 230 230 U U U

Commuter rail 33 34 36 37 37 38 35 37 37 35 34 39 39 37 37 37 37 37 37 38

Amtrakb

N N N 380 348 372 439 459 460 451 449 431 412 412 404 399 393 381 376 372

KEY N = data do not exist U = data are not available

a Total Class I and Class II motor carriers of freight (less-than-truckload specialized carrier for truckload and others)b Amtrak began operations in 1971 Data are reported for fiscal years

NOTES

Average length of haul for freight is calculated by dividing ton-miles in table 1-46 by estimates of tonnage from the various data sources The calculation of average length of haul for passenger trips varies by mode for air carrier it is calculated by dividing revenue passenger-miles by revenue passenger enplanements for commuter rail intercity bus and Amtrak it is calculated by dividing passenger-miles by number of passengers These numbers were then converted to kilometers 1609344 kilometers = 1 mile

SOURCESFreightAir carrier truckEno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) p 65Class I railAssociation of American Railroads Railroad Facts (Washington DC 2004) p 36WaterUS Army Corps of Engineers Waterborne Commerce of the United States Part 5 (New Orleans LA Annual issues) section 1 table 1-4 Oil pipeline1960-70 Transportation Policy Associates Washington DC personal communication1975-99 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 65PassengerAir carrierUS Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DCIntercity busEno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 64Commuter Rail1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 642001-03 US Department of Transportation Federal Transit Administration National Transit Database (Washington DC Annual issues) table 19Amtrak1970-85 Amtrak corporate communication Jan 26 19991990-2002 Amtrak Amtrak Annual Report (Washington DC 2003) Statistical Appendix2003 Association of American Railroads Railroad Facts (Washington DC 2004) p 77

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air total 53750 92740 189166 237217 352556 466929 577550 563568 588318 598885 640839 667376 718817 745307 766630 808626 855091 808544 776202 812974 897841 939357 950532

Air carrier certificated domestic all services 50049 85659 174520 218871 328898 447134 556629 544095 570937 582953 625068 649995 699505 725190 745548 785934 830629 782956 776202 812974 897841 939357 950532General aviationa 3701 7081 14645 18347 23657 19795 20921 19473 17381 15933 15772 17381 19312 20117 21082 22692 24462 25589 U U U U U

Highway totalb 2047212 2502912 3286284 3870399 4270411 4848878 5731210 5794157 5950903 6064114 6175877 6225055 6386498 6581197 6760267 6927051 7065142 7473462 7510870 7599112 7796390 (R) 7866385 7940003Passenger carbc 1842173 2244718 2817796 3144925 3237982 3370965 3671543 3540975 3553795 3561931 3620609 3680388 3761146 3844827 3965147 4015104 4094907 4114257 4217107 4251702 4322420 (R) 4344110 4278636Motorcyclebc g g 5274 9965 19725 19009 19995 18759 19226 19609 19940 17344 17561 17846 18203 18736 18533 18926 19523 19574 20688 (R) 21367 25347Other 2-axle 4-tire vehiclec h h 363090 584622 838104 1107376 1608947 1797569 1933896 2016283 2042728 2021571 2089410 2176919 2221791 2305586 2361976 2701852 2695316 2745707 2865873 (R) 2904621 3038437Truck single-unit 2-axle 6-tire or more 158602 207234 43583 55693 64073 73130 83527 85131 86702 91366 98627 100914 103114 107654 109469 113143 113459 137581 122094 125138 126239 (R) 126327 129280Truck combination 46436 50960 56543 75195 110527 125630 151827 155535 160146 165949 175309 185800 191349 200499 206574 213051 217294 259376 223276 225566 229122 (R) 231791 229663Busd N N N N N 152767 195371 196189 197138 208977 218663 219038 223918 233451 239081 261430 258974 241469 233554 231425 232048 (R) 238170 238642

Transit totale N N N N 64139 63699 66213 65505 64762 63382 63706 64065 66591 68138 71017 73800 76711 78971 77770 77092 78975 79952 (P) 83934Motor busd N N N N 35068 34055 33766 33941 32728 32584 30307 30285 30732 31550 32766 34126 34184 35441 35150 34218 34403 35124 (P) 36727Light rail N N N N 613 563 919 1065 1128 1135 1341 1384 1540 1666 1815 1941 2182 2313 2305 2375 2536 2736 (P) 3003Heavy rail N N N N 16991 16781 18467 16943 17280 16465 17168 16993 18556 19402 19769 20764 22280 22817 21988 21897 23101 23204 (P) 23691Trolley bus N N N N 352 492 311 314 320 303 301 301 296 304 293 299 309 301 303 283 278 278 (P) 264Commuter rail 6754 6643 7390 7263 10486 10515 11397 11819 11780 11169 12868 13267 13440 12936 14008 14108 15131 15366 15295 15384 15641 15245 (P) 16674Demand responsived N N N N N 586 694 731 797 904 929 977 1056 1213 1183 1308 1350 1376 1373 1497 1548 1703 (P) 1735Ferry boat N N N N i i 460 454 436 418 418 418 426 473 473 499 531 523 535 634 633 634 (P) 644Other N N N N 628 707 200 238 293 404 373 439 546 594 710 755 744 834 821 805 835 1028 (P) 1196

RailIntercity Amtrakf 27462 21340 9944 6326 7247 7765 9748 10095 9803 9976 9529 8924 8127 8314 8536 8578 8848 8946 8800 9141 8869 8660 8706

1 mile = 1609344 kilometers

1985 Amtrak Amtrak FY95 Annual Report Statistical Appendix (Washington DC 1996) p 4 1990-2002 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003-06 American Association of Railroads Railroad Facts 2006 (Washington DC 2007) p 77

Numbers may not add to totals due to rounding

All other data1960-2006 American Public Transportation Association Public Transportation Fact Book (Washington DC Annual issues) table 6 and similar tables in earlier editions

Rail Intercity Amtrak1960-80 Association of American Railroads Railroad Facts (Washington DC Annual issues)

Ferryboat1992 American Public Transit Association personal communication July 19 20001996-99 American Public Transit Association personal communication Aug 13 20012000-06 Ibid 2005 Public Transportation Fact Book (Washington DC Annual issues) table 54 and similar tables in earlier editions

Single-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July28 2000 table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmTransit

1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmOther 2-axle 4-tire vehicle1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtm

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmMotorcycle1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A

General aviation1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 45-46HighwayPassenger car and motorcycle

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)1985-2005 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) page 3 line1

Air carrier passenger-miles are computed by summing the products of the aircraft-miles flown on each interairport segment multiplied by the number of passengers carried on that segment Highway passenger-miles from 1960 to 1994 are calculated by multiplying vehicle-miles of travel as cited by FHWA by the average number of occupants for each vehicle type Average vehicle occupancy rates are based on various sources such as the National Household Travel Survey conducted by the Federal Highway Administration and the Vehicle Inventory and Use Survey conducted by the Bureau of the Census Transit passenger-miles are the cumulative sum of the distances ridden by each passenger Rail passenger-miles represent the movement of 1 passenger for 1 mile

SOURCESAirAir carrier domestic all services

g Included in passenger carh Included in other single-unit 2-axle 6-tire or more trucki Ferryboat included in other

NOTES

c US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary report provides updated data for passenger car and motorcycle combined Passenger car figures in this table were computed by US Department of Transportation Bureau of Transportation Statistics by subtracting the most current motorcycle figures from the aggregate passenger car and motorcycle figuresd Motor bus and demand responsive figures are also included in the bus figure for highwaye Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-miles

f Amtrak began operations in 1971 Does not include contract commuter passengers

KEY N = data do not exist U = data are not available P = preliminary R = revised

a All operations other than those operating under 14 CFR 121 and 14 CFR 135b In July 1997 FHWA published revised passenger-miles data for the highway modes for a number of years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category Passenger-miles for passenger car motorcycle and other 2-axle 4-tire vehicles were derived by multiplying vehicle-miles for these vehicles by average vehicle occupancy rates provided by the Nationwide Personal Transportation Survey (1977 1983 and 1995) and the National Household Travel Survey (2001)

Table 1-37M US Passenger-Kilometers (Millions)

Table 1-46a M US Tonne-Kilometers of Freight (Millions)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL US tonne-kilometers of freight (millions) U 2706838 3221739 3335607 4363158 4306056 (R) 4839335 (R) 4888912 (R) 4990309 (R) 5020175 (R) 5277541 (R) 5502687 (R) 5582528 (R) 5555831 (R) 5594959 (R) 5704438 (R) 5704172 (R) 5738487 U U U U U UAir carrier domestic all servicesa 807 1975 3955 5066 6611 7528 13233 12935 14337 15585 17232 18279 18777 19857 20206 20735 21874 19400 20267 22236 24019 (R) 22982 22421 22043

Intercity truckb 416092 524130 601508 662827 810284 890583 (R) 1246816 (R) 1276016 (R) 1308135 (R) 1366534 (R) 1454132 (R) 1521291 (R) 1563630 (R) 1633709 (R) 1677508 (R) 1731527 (R) 1756346 (R) 1787006 1832265 1845405 U U U UClass I rail 835555 1018882 1116600 1101187 1341653 1280372 1509566 1516728 1557470 1619560 1752990 1906268 1979686 1969394 2010092 2092813 2140261 2183347 2200194 2265056 2427347 2476733 2586920 2584946Domestic water transportation cd U 715099 870428 826321 1345855 1303711 1216951 1238639 1250736 1152878 1189759 1179260 1116421 1032799 982262 957539 942849 907644 893620 884957 906891 863248 819962 U

Coastwise U 441708 525275 461126 921460 892009 699522 733100 733360 654658 668084 642892 595794 510761 459692 427378 414445 400848 384977 407213 408584 384650 331640 ULakewise U 110838 115946 100033 90149 70347 88956 80794 81444 82398 85063 87166 85168 90760 90014 83284 84502 74245 78332 69406 81369 75808 77532 UInternal U 160161 227487 263378 331914 339746 426886 423332 434544 414477 434725 447232 433306 429265 430540 444889 441727 430489 428371 406387 414772 400568 408468 UIntraport U 2392 1721 1785 2331 1609 1587 1413 1387 1346 1887 1970 2153 2012 2016 1989 2176 2063 1940 1950 2167 2221 2323 U

Oil pipelined 334334 446751 629248 740206 858756 823862 852770 844594 859632 865617 863427 877589 904015 900073 904891 901825 842842 841090 855836 861675 875399 U U UKEY R = revised U = data are not available

a Includes freight express and mail revenue ton-miles as reported on US DOT Form 41 b Methodology was changed in 1990 for intercity trucks Therefore figures prior to 1990 are not comparable to those after 1990c Excludes intraterritorial traffic for which ton-miles were not compiledd The large increase between1975 and 1980 was a result of a new Alaska pipeline and consequent water transportation of crude petroleum from

NOTESNumbers may not add to totals due to roundings1459972 tonne-kilometers = 1 ton-mile

SOURCESAir carrier domestic all services1960-65 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970)

p p p 1970-80 Ibid Air Carrier Traffic Statistics (Washington DC Annual issues) p 2 line 3(Washington DC Annual issues) p 3 line 3 Intercity truck Eno Transportation Foundation Inc Transportation in America 2007 (Washington DC 2007) p 40Class I railAssociation of American Railroads Railroad Facts (Washington DC Annual Issues) p 27Domestic water transportation

US Army Corps of Engineers Waterborne Commerce of the US (New Orleans LA Annual issues) part 5 section 1 table 1-4 and similar tables in earlier editions available at httpwwwiwrusacearmymilndcwcscwcschtm as of December 2008Oil pipeline1960-70 Eno Transportation Foundation Inc Transportation in America 1998 (Washington DC 1998) p 441975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC Annual issues) table 41980-2004 Ibid Shifts in Petroleum Transportation (Washington DC Annual issues) table 1

1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991TOTAL US tonne-kilometers of freight 4969767 4915691 4665465 4747804 4876660 4838300 4859347 5072849 5251728 5209065 5287935 5308610Air 7066 7431 7504 8570 9490 9796 10716 12658 13622 14906 15213 14541Truck 919308 921095 944153 984052 1032048 1046520 1073390 1131365 1169230 1209598 1239194 1267165Railroad 1360694 1349014 1182577 1227836 1314108 1279241 1301177 1389806 1497469 1526588 1554005 1521187Domestic water transportation 1345853 1356917 1294220 1342541 1296045 1303713 1275141 1307281 1299417 1190680 1216951 1238639

Coastwise 921460 926739 923735 948617 867111 892009 848082 856738 819913 706464 699522 733100Lakewise 90149 90734 52009 62907 72683 70347 63068 73111 84912 85128 88956 80793Internal 331914 337522 316853 329411 354562 339747 362244 375703 392785 397342 426886 423332Intraport 2330 1921 1623 1606 1689 1609 1748 1729 1807 1746 1587 1413

Pipeline 1336846 1281234 1237010 1184805 1224970 1199030 1198922 1231739 1271990 1267292 1262572 1267078Oil and oil products 858464 823424 826344 811744 829264 823424 843864 857004 877443 852624 852770 844594Natural Gas 478383 457809 410666 373060 395706 375606 355058 374736 394547 414669 409802 422484

KEY R = revisedNOTES

SOURCEUS Department of Transportation Bureau of Transportation Statistics special tabulation

Table 1-46bM US Tonne-Kilometers of Freight (BTS Special Tabulation) (Millions)

BTS is developing more comprehensive and reliable estimates of tonne-kilometers for the air truck rail water and pipeline modes than are presented in table 1-46a These improved estimates are not comparable to data in table 1-46a Improved estimates for 1960-1989 which will allow more comprehensive and reliable data for the entire period from 1960 to present are still under development and will be reported when they are completed Numbers may not add to totals due to rounding1459972 tonne-kilometers = 1 ton mile

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 20065469636 5500263 5759543 5992069 6094063 6101824 6173578 6278800 6319696 6361787 6437017 6445480 (R) 6629875 (R) 6678935 6770639

16045 16848 17563 18571 20089 20294 20644 21170 23082 19400 20202 22040 24018 (R) 22982 224211299712 1354824 1442339 1509671 1550420 1621378 1664042 1717494 1741491 1771250 1818456 1846534 1871060 (R) 1885576 18899231603603 1657092 1782732 1922797 2010520 2030951 2114554 2195309 2257582 2334980 2344032 2341159 2459266 2531266 27050841250733 1152877 1189756 1179260 1116422 1032799 982262 957539 942848 907646 893620 884956 906891 863246 819962

733360 654657 668083 642891 595794 510761 459693 427378 414445 400848 384977 407214 408583 384650 33164081443 82398 85062 87166 85167 90761 90013 83284 84502 74245 78332 69406 81369 75808 77532

434543 414477 434724 447232 433307 429265 430540 444889 441726 430489 428370 406386 414772 400568 4084681387 1345 1886 1971 2153 2012 2016 1988 2175 2063 1940 1951 2167 2221 2323

1299542 1318621 1327152 1361770 1396612 1396402 1392076 1387290 1354692 1328511 1360707 1350792 (R) 1368640 (R) 1375866 1333249859632 865617 863427 877589 904015 900073 904891 902263 842404 840944 855544 861383 875399 (R) 886933 853646439911 453004 463724 484181 492598 496330 487185 485027 512288 487568 505163 489409 (R) 493240 (R) 488933 479603

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL freight 9978 11548 13895 15377 18134 16224 19630 20921 19342 19307 20092 20325 20721 21166 21224 21070 21995 23933 21231 21720 23151 22930 23482Foreign 3078 4025 5270 6792 8359 7025 9449 9195 9412 9617 10122 10409 10736 11073 11298 11438 12290 12254 11968 12502 13652 13596 14197

Imports 1917 2448 3078 4323 4695 3744 5443 5039 5322 5886 6527 6102 6646 7151 7627 7809 8525 8635 8481 9115 9880 9951 10259Exports 1161 1578 2192 2469 3664 3281 4006 4157 4090 3731 3594 4306 4090 3922 3671 3629 3765 3620 3486 3387 3772 3645 3937

Domestic 6900 7522 8625 8585 9775 9200 10181 9784 9930 9690 9970 9916 9985 10093 9926 9632 9705 9457 9262 9218 9499 9334 9285Inland 2640 3353 4283 4572 4853 4850 5648 5447 5634 5509 5610 5627 5643 5720 5670 5666 5701 5623 5516 5530 5681 5661 5693Coastal 1898 1828 2163 2104 2990 2810 2709 2672 2587 2465 2513 2419 2426 2387 2265 2076 2059 2029 1963 2027 2001 1938 1831Great Lakes 1407 1394 1425 1173 1044 834 999 938 974 997 1041 1053 1042 1113 1108 1033 1037 907 920 814 939 873 879Intraport 945 933 739 710 854 674 784 686 697 675 752 754 807 815 817 804 858 846 817 788 828 818 829Intraterritory 09 13 15 26 33 31 41 41 39 45 54 62 66 57 65 53 50 53 46 58 50 44 53

Conversion 1 short ton=90718474 short tonnes

SOURCES

Table 1-50M US Waterborne Freight (Million short tonnes)

Numbers may not add to totals due to rounding

1960-2003 US Army Corps of Engineers Waterborne Commerce of the United States Calendar Year 2004 (New Orleans LA) part 5 tables 1-1 1-3 and 1-62004-2006 Ibid Preliminary Waterborne Commerce Statistics for Calendar Year 2006 (New Orleans LA) Internet site httpwwwiwrusacearmymilndc as of May 9 2008

KEY R = revised

NOTES Beginning in 1996 shipments of fish are excluded from domestic tonnage totals

Table 1-55M Crude Oil and Petroleum Products Transported in the United States by Mode (billions)1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilmoeters Percent

Crude oil total 4840 1000 10994 1000 11478 1000 9172 1000 8555 1000 7931 1000 7109 1000 6630 1000 6176 1000 5489 1000 5498 1000 5606 1000 5554 1000 5462 1000Pipelinesa 4205 869 5294 482 4882 425 4888 533 4904 573 4939 623 4926 693 4878 736 4688 759 4138 754 4044 736 4184 746 4154 748 4142 758Water carriers 593 122 (c) 5656 514 6558 571 4251 464 3616 423 2955 373 2151 303 1721 260 1460 236 1329 242 1432 260 1397 249 1374 247 1295 237Motor carriersb 20 04 36 03 26 02 22 02 25 03 25 03 25 03 23 04 20 03 18 03 16 03 18 03 19 03 18 03Railroads 22 05 07 01 12 01 10 01 12 01 12 01 07 01 07 01 07 01 06 01 06 01 07 01 07 01 07 01

Refined petroleum products total 7522 1000 7187 1000 5976 1000 6549 1000 6700 1000 6993 1000 6856 1000 6945 1000 7152 1000 7260 1000 7201 1000 7017 1000 7342 1000 7714 1000Pipelinesa 3197 425 3294 458 3356 562 3640 556 3872 578 4101 586 4075 594 4171 601 4330 605 4291 591 4367 606 4374 623 4463 608 4612 598Water carriers 3758 500 3364 468 2061 345 2304 352 2237 334 2250 322 2165 316 2148 309 2153 301 2240 308 2130 296 1926 274 2132 290 2310 299Motor carriersb 383 51 355 50 393 66 412 63 359 54 409 58 380 55 390 56 403 56 439 61 434 60 429 61 466 63 485 63Railroads 184 24 175 24 165 27 194 29 232 35 234 33 237 34 237 34 266 37 291 40 270 38 288 41 282 38 308 40

Combined crude and petroleum products total 12362 1000 18181 1000 17454 1000 15721 1000 15255 1000 14924 1000 13965 1000 13575 1000 13328 1000 12750 1000 12699 1000 12623 1000 12896 1000 13176 1000Pipelinesa 7402 599 8588 472 8239 472 8528 542 8776 575 9040 606 9001 645 9049 667 9018 677 8428 661 8411 662 8558 678 8617 668 8754 664Water carriers 4351 352 (c) 9020 496 8620 494 6555 417 5853 384 5205 349 4316 309 3869 285 3613 271 3568 280 3562 281 3323 263 3505 272 3605 274Motor carriersb 403 33 391 22 419 24 434 28 384 25 434 29 404 29 413 30 423 32 457 36 450 35 447 35 485 38 502 38Railroads 206 17 182 10 177 10 204 13 242 16 245 16 244 17 244 18 273 20 296 23 276 22 295 23 289 22 315 24

a The amount carried by pipeline is based on ton-miles of crude and petroleum products transported through federally regulated pipelines (84) plus estimated ton-miles of crude and petroleum products transported through nonfederally regulated pipelines (16)b The amount carried by motor carriers is estimatedc Reflects the entrance between 1975 and 1980 of the Alaska pipeline moving crude petroleum for water transportation to US refinerie

NOTESNumbers may not add to totals due to rounding1459972 tonne-kilometers = 1 ton mile

SOURCES1975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC) table 61980-2004 Ibid (Annual issues) tables 1 2 and 3

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total petroleum demand 21016 24541 31156 34533 36086 32625 35400 34654 35373 35705 36579 36456 37726 38262 38967 40050 40518 40444 40516 41197 42829 (R) 42617 (R) 42158 42010

Transportation 10688 12524 16153 18584 20055 20543 22815 22550 22867 23287 23848 24339 24949 25234 25888 26607 27241 26963 27520 27744 28713 (R) 28813 (R) 29079 29094Industrial 6067 7164 8219 8595 10049 8164 8734 8426 9053 8882 9285 9089 9552 9802 9617 9913 9623 9728 9720 9745 10415 (R) 10206 (R) 10363 10199Residential and commercial 3682 4083 4547 4014 3203 2767 2490 2413 2407 2351 2329 2232 2363 2249 2083 2252 2447 2406 2262 2437 2422 (R) 2296 (R) 2033 2019Electric utilities 579 771 2237 3340 2779 1150 1360 1264 1045 1186 1117 796 862 978 1378 1278 1207 1347 1014 1271 1279 (R) 1303 (R) 684 696

Transportation as percent of total petroleum demand 509 510 518 538 556 630 645 651 646 652 652 668 661 659 664 664 672 667 679 673 670 (R) 676 (R) 690 693

NOTES

1975-2007 Ibid Monthly Energy Review DOEEIA-0035(200605) (Washington DC March 2008) tables 13 22 23 24 25 26 and similar tables in earlier editions Internet site httpwwweiadoegov as of Apr 16 2008

Table 4-3M Domestic Demand for Refined Petroleum Products by Sector (Petajoules)

1960-70 US Department of Energy Energy Information Administration Annual Energy Review 1997 DOEEIA-0384(97) (Washington DC July 1998) tables 21 512b and A3

105506 petajoules = 1 quadrillion British thermal unit (Btu)

KEY P = preliminary R = revised

SOURCES

Transportations share of US petroleum demand in this table differs slightly from table 4-1 because this table takes into account differences within sectors in the use of various grades of petroleum-based fuel that have different joule content per unit volume

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AirCertificated carriersa

Jet fuel (million liters) 7397 14721 29742 28610 32249 38289 46648 43557 44527 45268 46880 47967 50033 51341 50479 54518 56193 53062 48636 49054 51567 52197 50944General aviationb

Aviation gasoline (million liters) 916 1105 2086 1560 1968 1594 1336 1340 1189 1014 1007 1086 1092 1106 1178 1307 1260 1057 1047 1031 1033 967 993Jet fuel (million liters) N 212 787 1715 2900 2616 2510 2184 1870 1719 1756 2120 2300 2430 3084 3662 3679 3476 3552 3529 4659 4752 4879

HighwayGasoline diesel and other fuels (million liters)

Passenger car and motorcycle 155849 188222 256950 281078 265683 271414 264067 244163 248425 254554 257707 258424 262781 265335 272175 278207 277375 279180 286413 286352 (R) 286192 280442 UOther 2-axle 4-tire vehicle N e 46610 72229 90078 103580 134802 144667 154933 162209 166982 172632 179255 186953 191019 200093 200395 202602 209031 229994 (R) 240059 247638 USingle-unit 2-axle 6-tire or more truck N 52420 15021 20517 26206 28008 31635 30934 31180 32131 34190 34887 35617 36249 25805 35477 36200 36595 39068 33616 (R) 33914 34228 UCombination truck N 25203 27815 34739 49350 53015 61070 63629 65170 67183 70609 74865 76437 76850 95233 92884 97155 96573 100236 90151 (R) 91573 92406 UBus 3131 3312 3104 3986 3854 3157 3388 3271 3324 3517 3649 3663 3747 3886 3937 4347 4210 3883 3784 3668 (R) 5148 5031 U

Transitc

Electricity (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 UMotor fuel (million liters)

Diesel 787 939 1026 1382 1632 2304 2464 2518 2593 2568 2567 2568 2622 2714 2800 2890 2975 2819 2743 2698 2766 2763 UGasoline and other nondiesel fuelsd 727 469 257 30 42 174 129 129 141 173 227 230 232 225 199 184 183 174 216 175 200 220 UCompressed natural gas N N N N N N N N 4 6 18 41 57 90 141 168 207 251 307 379 423 466 U

Rail Class I (in freight service)Distillate diesel fuel (million liters) 13109 13597 13419 13843 14778 11773 11792 11000 11375 11689 12621 13173 13548 13533 13563 14063 14006 14044 14120 14483 15365 15513 UAmtrakElectricity (million kWh) N N N 180 254 295 330 303 300 301 309 304 293 282 275 283 350 377 U U U U UDistillate diesel fuel (million liters) N N N 238 242 246 310 310 310 314 284 250 269 284 284 280 288 283 U U U U UWater Residual fuel oil (million liters) 14960 11708 14286 15369 33887 17375 23947 25639 24844 19994 20390 22282 21582 18965 21276 22100 24264 20477 18351 14664 17755 19603 UDistillate diesel fuel oil (million liters) 2979 2468 3100 4156 5595 6431 7817 7745 8398 8157 8288 8854 9429 9743 9823 9158 8560 7738 7870 8392 8099 7592 UGasoline (million liters) N N 2264 2763 3982 3986 4921 6473 4982 3307 3314 4014 3761 3737 3620 4157 4256 3762 4093 4192 3804 4773 UPipelineNatural gas (million cubic meters) 10412 15016 21665 17489 19039 15113 19794 18039 17631 18729 20561 21010 21343 22544 19064 19360 19266 18749 20008 17745 16986 17543 U

Table 4-5M Fuel Consumption by Mode of Transportation

c Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and small systemsd Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except compressed natural gase Included in single-unit 2-axle 6-tire or more truck category

KEY kWh = kilowatt-hour N = data do not exist R = revised U = data are not available 1gallon = 37854 litres 1 Cubic Foot= 028316 Cubic Metres

a Domestic operations onlyb Includes fuel used in air taxi operations but not commuter operations Data for 1996 are estimated using new information on nonrespondents and are therefore not comparable to earlier years See the accuracy statement in the appendix for more detailed information

1970-2005 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editions

Highway1960-94 US Department of Transportation Federal Highway AdministrationHighway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of August 2001)1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

TransitElectricity motor fuel compressed natural gas

1960-2005 American Public Transportation Association 2007 Public Transportation Fact Book (Washington DC April 2007) tables 26 27 28 and similatables in earlier editions Rail

SOURCESAirCertificated air carriers

1960-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Fuel Cost and Consumption Internet site httpwwwbtsgovprogramsairline_information as of Sept 4 2007General aviation1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 9121975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions

1994-2006 Ibid FAA Aerospace Forecasts Fiscal Years 2007-2020 (Washington DC Dec 2007) table 34 and similar tables in earlier editions

Pipeline1960-2005 US Department of Energy Natural Gas Annual 2005 DOEEIA-0131(04) (Washington DC Nov 2006) table 15 and similar tables in earlier editions

1960-2005 Association of American Railroads Railroad Facts (Washington DC 2005) p 40Amtrak

1975-2001 Amtrak Energy Management Department personal communicationWaterResidual and distillate diesel fuel oil1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 12agy gy ( g )and similar tables in earlier editionsGasoline

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005AirCertificated carriersa

Jet fuel 278 554 1119 1077 1213 1441 1755 1639 1675 1703 1764 1805 1883 1932 1899 2051 2114 1997 1830 1846 1940 1964General aviationb

Aviation gasoline 31 37 70 52 66 53 45 45 40 34 34 36 37 37 39 44 42 35 35 (R) 35 (R) 36 37Jet fuel N 8 30 65 109 98 94 82 70 65 66 80 87 91 116 138 138 136 140 (R) 134 (R) 138 144

HighwayGasoline diesel and other fuels

Passenger car and motorcycle 5430 6558 8952 9793 9256 9456 9200 8507 8655 8869 8978 9003 9155 9244 9482 9693 9664 9727 9978 9976 (R) 9971 9771Other 2-axle 4-tire vehicle N e 1624 2516 3138 3609 4696 5040 5398 5651 5818 6014 6245 6513 6655 6971 6982 7059 7283 8013 (R) 8364 8628Single-unit 2-axle 6-tire or more truck N 2026 581 793 1013 1083 1223 1196 1205 1242 1322 1349 1377 1401 998 1371 1399 1415 1361 1171 (R) 1181 1193Combination truck N 974 1075 1343 1908 2049 2361 2460 2519 2597 2730 2894 2955 2971 3682 3591 3756 3733 3875 3485 (R) 3540 3572Bus 121 128 120 154 149 122 131 126 128 136 141 142 145 150 152 168 163 150 146 142 (R) 199 195

Transitc

Electricity 10 9 9 10 9 15 17 17 17 18 18 18 18 18 18 19 20 20 20 20 21 21Motor fuel

Diesel 30 36 40 53 63 89 95 97 100 99 99 99 101 105 108 112 115 109 106 104 107 107Gasoline and other nondiesel fuelsd 25 16 9 1 1 6 4 4 5 6 8 8 8 8 7 6 6 6 8 6 7 8Compressed natural gas N N N N N N N N lt1 lt1 1 2 2 3 5 6 8 10 12 15 16 18

Rail Class I (in freight service)Distillate diesel fuel 507 526 519 535 571 455 456 425 440 452 488 509 524 523 524 544 541 543 546 560 594 600AmtrakElectricity N N N 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 U U U UDistillate diesel fuel N N N 9 9 10 12 12 12 12 11 10 10 11 11 11 11 11 U U U UWater Residual fuel oil 624 489 596 641 1414 725 999 1070 1037 834 851 930 900 791 888 922 1012 854 766 612 741 818Distillate diesel fuel oil 115 95 120 161 216 249 302 299 325 315 320 342 364 377 380 354 331 299 304 324 313 293Gasoline N N 79 96 139 139 171 226 174 115 115 140 131 130 126 145 148 131 143 146 133 166PipelineNatural gas 378 544 786 634 690 548 718 654 639 679 746 762 774 817 691 702 699 680 725 643 622 636KEY N = data do not exist R = revised U = data are unavailable

a Domestic operations onlyb Includes fuel used in air taxi operations but not commuter operations

d Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except

Table 4-6M Energy Consumption by Mode of Transportation (Petajoules)

e Included in other single-unit 2-axle 6-tire or more truck category

c Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and smaller systems

Jet fuel = 37626700 joulesliterAviation gasoline = 33501698 joulesliterAutomotive gasoline = 34839537 Diesel motor fuel = 38657950 joulesliter

1970-2005 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editionsPipeline

Residual and distillate diesel fuel oil1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 1985-2005 US Department of Energy Energy Information Administration Fuel Oil and Kerosene Sales (Washington DC Annual issues) tables 2 4 and similar tables in earlier editionsGasoline

1960-2005 Association of American Railroads Railroad Facts (Washington DC 2005) p 40Amtrak1975-2001 Amtrak Energy Management Department personal communicationWater

Electricity 1kWh = 3600000 jouleskWh negating electrical system losses To include approximate electrical system losses multiply this conversion factor by 3

Distillate fuel = 38655829 joulesliterResidual fuel = 41723829 joulesliterNatural gas = 38413974 joulesm3

The following conversion rates were used

General aviation

1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 912

1975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions

1960-2005 American Public Transportation Association 2006 Public Transportation Fact Book (Washington DC April 2006) tables 26 27 28 and similar tables in earlier editions

1960-2005 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovprogramsairline_information as of June 1 2006

SOURCESAirCertificated air carriers

NOTES

Compressed natural gas = 38657950 joulesliter

Rail

1055056 petajoules = 1 trillion British thermal unit (Btu)

1960-2005 US Department of Energy Natural Gas Annual 2005 DOEEIA-0131(04) (Washington DC Dec 2006) table 15 and similar tables in earlier editions

1994-2004 Ibid FAA Aerospace Forecasts Fiscal Years 2005-2016 (Washington DC Dec 2005) table 34 and similar tables in earlier editions2005 Ibid FAA Aerospace Forecasts Fiscal Years 2006-2017 (Washington DC Dec 2006) table 30Highway

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of August 2001)1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Transit

Electricity motor fuel compressed natural gas

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL demand 230005 269471 339178 389882 396854 407121 430044 424806 434878 441300 449392 455209 464074 470279 484449 498845 499261 506261 519585 524688 534432 529914 529135Highway 209820 253541 324025 376094 383019 391960 414614 408496 420084 430282 437904 443125 452412 457800 472018 487345 487879 490900 503288 507591 516540 511697 510410Nonhighway total 20185 15930 15152 13788 13834 15160 15430 16310 14795 11018 11488 12083 11662 12479 12431 11500 11382 15361 16297 17098 17892 18217 18725

Agriculture 8675 7432 7313 5924 4009 4091 2579 2949 3049 3204 3452 3508 3475 3727 3433 2661 2469 3034 3149 3229 4141 4080 4651Aviationa 5011 1898 1488 1551 1563 1444 1366 1282 1303 1289 1379 1389 1301 1267 1329 1219 1120 1347 1293 1153 1175 1264 1309Marine 230 365 2264 2762 3983 3986 4923 6472 4994 3307 3394 4014 3761 3737 3619 4156 4256 3762 4093 4192 3804 4773 4684Otherb 6270 6235 4087 3551 4280 5639 6562 5608 5448 3218 3263 3172 3124 3749 4050 3464 3537 7218 7762 8523 8772 8100 7696

NOTES

SOURCESHighway

Table 4-7M Domestic Demand for Gasoline (Million liters) by Mode

a Does not include aviation jet fuelb Includes state county and municipal use industrial and commercial use construction use and miscellaneous

All nonhighway uses of gasoline were estimated by the US Department of Transportation Federal Highway Administration

Nonhighway

1960-2006 Ibid Highway Statistics (Washington DC Annual issues) table MF-24 Internet site wwwfhwadotgovpolicyohpi as of Jan 30 2008 and unpublished revisions

These estimates may not be comparable to data for prior years due to revised estimation proceduresNumbers may not add to totals due to rounding

1960-95 US Department of Transportation Federal Highway Administration Highway Statististics Summary to 1995 (Washington DC 1996) table MF-2211996-2006 Ibid Highway Statistics (Washington DC Annual issues) table MF-21 Internet site wwwfhwadotgovpolicyohpi as of Jan 30 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number of aircraft 2135 2125 2679 2495 3808 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 U UAverage kilometers flown per aircraft (thousands) 784 1074 1528 1500 1236 1191 1250 1239 1077 1129 1170 1222 1260 1273 1236 1283 1388 1291 1344 1446 1560 1614 U UAircraft-Kilometers (millions)Domestic operations 1381 1825 3328 3135 4060 4902 6378 6202 6429 6690 7049 7450 7743 7903 8103 8581 9115 8929 9039 9793 10544 10806 (R) 10661 10825International operations 293 457 764 607 645 668 1223 1299 1455 1547 1577 1606 1679 1793 1918 1971 2063 2037 1971 2031 2228 2472 (R) 2557 2705Fuel consumption (million liters)Domestic operations 7397 14721 29742 28610 32249 38289 46648 43557 44527 45268 46880 47967 50033 51341 50479 54518 (R) 56272 (R) 52496 (R) 48930 (R) 49520 (R) 53339 (R) 52852 (R) 51415 51314International operations 2143 4845 8491 7378 6614 9418 14797 14913 15596 15571 16196 16817 17483 18605 18636 19875 (R) 20850 (R) 20198 (R) 19211 (R) 19755 (R) 21169 (R) 22616 (R) 22781 23485Aircraft-Kilometers flown per litersDomestic operations 019 012 011 011 013 013 014 014 014 015 015 016 015 015 016 016 (R) 016 (R) 017 (R) 018 (R) 020 (R) 020 (R) 020 (R) 021 021International operations 014 009 009 008 010 007 008 009 009 010 010 010 010 010 010 010 (R) 010 (R) 010 (R) 010 (R) 010 (R) 011 (R) 011 (R) 011 012

3785412 liters = 1 gallon

1960-70 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovprogramsoaifuelfuelyearlyhtml as of June 25 20041980-2007 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Jun 26 2008

1975-80 Ibid Air Carrier Traffic Statistics (Washington DC December 1976) pp 4 and 14 and (December 1981) pp 2 and 31985-2001 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues December) pp 2 and 3 line 27 plus line 502002-07 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues January) pp 3 and 4 line 25 plus line 46Fuel consumption

1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III tables 2 and 13

1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1970 edition (Washington DC 1970) table 531970-75 Ibid FAA Statistical Handbook of Aviation Calendar Year 1979 (Washington DC 1979) table 511980-85 Ibid FAA Statistical Handbook of Aviation Calendar Year 1986 (Washington DC 1986) table 511990-97 Ibid FAA Statistical Handbook of Aviation Calendar Year 1997 (Washington DC unpublished) personal communication Mar 19 19991998-2005 Aerospace Industries Association Aerospace Facts and Figures (Washington DC Annual Issues) Active US Air Carrier Fleet p 90 and similarpages in earlier editionsAircraft-miles flown1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III tables 2 and 13

SOURCESNumber of aircraft

1609344 kilometers = 1 mileNOTES

Table 4-8M Certificated Air Carrier Fuel Consumption and Travela

KEY R = revised U = data are unavailable

a Aircraft operating under 14 CFR 121 and 14 CFR 135

Table 4-9M Motor Vehicle Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Vehicles registered (thousands)a 73858 90358 111242 137913 161490 177133 193057 192314 194427 198041 201802 205427 210441 211580 215496 220461 225821 235331 234624 236760 237243 (R) 247421 241194Vehicle-kilometers traveled (millions) 1156735 1428795 1785928 2136668 2457943 2856306 3451016 3495576 3616439 3695662 3794170 3898951 4000585 4122648 4235024 4330835 4420747 4501797 4595495 4651728 4771364 (R) 4811021 4850749Fuel consumed (million liters) 219100 269158 349503 412549 435171 459174 494962 486664 503036 519593 533134 544471 557837 569273 588174 611007 615334 618833 638532 643781 675834 (R) 661640 662182Average kilometers traveled per vehicle (thousands) 157 158 161 155 152 161 179 182 186 187 188 190 190 195 197 196 196 191 196 196 201 (R) 19 20Average kilometers traveled per gallon 53 53 51 52 56 62 70 72 72 71 71 72 72 72 72 71 72 73 72 72 71 (R) 73 73Average fuel consumed per vehicle (liters) 2966 2979 3142 2991 2695 2592 2564 2531 2587 2624 2642 2650 2651 2691 2729 2771 2725 2630 2722 2719 2849 (R) 2674 2745KEY R = revised

a Includes personal passenger vehicles buses and trucks

NOTESee tables 4-11 4-12 4-13 4-14 and 4-15 for individual highway vehicles

SOURCES 1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) tables MF-21 MV-1 and VM-1

Table 4-11M Passenger Car and Motorcycle Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Vehicles registered (thousands)Passenger cars 61671 75258 89244 106706 121601 127885 133700 128300 126581 127327 127883 128387 129728 129749 131839 132432 133621 137633 135921 135670 136431 136568 135400Motorcycles 574 1382 2824 4964 5694 5444 4259 4177 4065 3978 3757 3897 3872 3826 3879 4152 4346 4903 5004 5370 5370 6227 6686Vehicle-kilometers traveled (millions)Passenger cars 944685 1163556 1475768 1664062 1789591 2006852 2265956 2185489 2208020 2212848 2262738 2314237 2365501 2418129 2493802 2525222 2575412 2620546 2669055 2690950 2735708 (R) 2749437 2707996Motorcycles a a 4828 9012 16415 14645 15450 14806 15450 15933 16415 15772 15965 16224 16549 17033 16848 15512 15372 15413 16290 (R) 16824 19957Fuel consumed (million liters)Passenger cars 155849 188222 256723 280650 264911 270725 263344 243466 247702 253804 256931 257681 262030 264571 271396 277406 276582 278450 285690 285627 285427 (R) 293059 283841Motorcycles a a 227 428 772 689 723 697 723 750 776 742 751 763 779 801 793 731 723 725 766 (R) 715 837Average kilometers traveled per vehicle (thousands)Passenger cars 153 155 165 156 147 157 169 170 174 174 177 180 182 186 189 191 193 190 196 198 201 (R) 201 200Motorcycles a a 17 18 29 27 36 35 38 40 44 40 41 42 43 41 39 32 31 29 30 (R) 27 30Average kiloemeters traveled per literPassenger cars 61 62 57 59 68 74 86 90 89 87 88 90 90 91 92 91 93 94 93 94 96 (R) 94 97Motorcycles a a 213 211 213 213 214 213 214 213 212 213 213 213 213 213 213 212 213 213 213 (R) 213 213Average fuel consumed per vehicle (liters)Passenger cars 2527 2501 2877 2630 2179 2117 1970 1898 1957 1993 2009 2007 2020 2039 2059 2095 2070 2023 2102 2105 2092 (R) 2146 2096Motorcycles a a 80 86 136 127 170 167 178 188 207 190 194 199 201 193 182 149 145 135 143 (R) 115 125KEY R = revised

a Included in passenger car

NOTESSee table 4-12 for other 2-axle 4-tire vehiclesAverage miles traveled per vehicle average miles traveled per gallon average fuel consumed per vehicle are derived by

SOURCESPassenger carNumber registered1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1All other categories1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A For 1970-94 the unrevised motorcycle vehicle-miles and fuel consumed are subtracted from the combined passenger car and motorcycle vehicle-miles and fuel consumed from VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1MotorcycleNumber registered1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 All other categories1970-85 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 table VM-1990-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-12M Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Number registered (thousands) 14211 20418 27876 37214 48275 53033 57091 59994 62904 65738 69134 70224 71330 75356 79085 84188 85011 87187 87187 95337 99125Vehicle-kilometers traveled (millions) 197949 323478 468319 629254 925373 1044464 1137806 1200571 1231148 1271382 1314094 1369132 1397353 1450054 1485519 1517945 1554681 1583746 1583746 (R) 1675409 1752597Fuel consumed (million liters) 46610 72229 90078 103580 134802 144667 154933 162209 166982 172634 179255 186953 191020 200093 200395 202602 209031 229994 229994 (R) 222843 229631Average kilometers traveled per vehicle (thousands) 139 158 168 169 192 197 199 200 196 193 190 195 196 192 188 112 183 182 182 (R) 176 177Average kilometers traveled per liter 42 45 52 61 69 72 73 74 74 74 73 73 73 72 74 75 74 69 69 (R) 75 76Average fuel consumed per vehicle (liters) 3280 3537 3231 2783 2792 2728 2714 2704 2655 2626 2593 2662 2678 2655 2534 636 2459 2638 2638 (R) 2337 2317KEY R = revised

NOTENearly all vehicles in this category are light trucks which include vans pickup trucks and sport utility vehicles In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data They are passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Prior to 1993 some minivans and sport utility vehicles were included under the passenger car category

SOURCES

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-13M Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel a

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 3681 4232 4374 4593 4487 4481 4370 4408 4906 5024 5266 5293 5735 5763 5926 5704 5651 5849 6161 6395 6649Vehicle-kilometers (millions) 43613 55683 64052 73064 83525 85134 86744 91411 98653 100914 103114 107654 109469 113143 113459 116594 122094 125138 126239 (R) 126327 129280Fuel consumed (million liters) 15021 20517 26206 28008 31635 30934 31180 32131 34190 34886 35617 36249 25807 35477 36200 36595 39068 33616 33912 (R) 35965 37260Average kilometers traveled per vehicle (thousands) 118 132 146 159 186 190 199 207 201 201 196 203 191 196 191 204 216 214 205 (R) 198 194Average kilometers traveled per liter 29 27 24 26 26 28 28 28 29 29 29 30 42 32 31 32 31 37 37 (R) 35 35Average fuel consumed per vehicle (liters) 4080 4848 5992 6098 7050 6904 7135 7289 6968 6944 6763 6848 4500 6156 6109 6416 6914 5748 5504 (R) 5624 5604KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of single-unit 2-axle 6-tire or more trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

NOTES In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data to include passenger cars other 2-axle 4-tire vehicles single-unit 2-axle 6-tire or more trucks and combination trucks Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the most appropriate category

SOURCES 1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-14M Combination Truck Fuel Consumption and Travel a

1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 787 905 1131 1417 1403 1709 1691 1675 1680 1682 1696 1747 1790 1997 2029 2097 2154 2277 1908 2010 2087 2170Vehicle-kilometers traveled (millions) 51016 56488 75156 110562 125690 151761 155463 160130 165923 175258 185879 191349 200499 206574 213051 217294 219811 223276 225566 229122 (R) 231791 229663Fuel consumed (million liters) 25203 27815 34739 49350 53015 61070 63629 65170 67183 70609 74864 76437 76850 95233 92884 97155 96573 100236 90151 91573 (R) 104814 106275Average kilometers traveled per vehicle (thousands) 649 624 665 780 896 888 919 956 987 1042 1096 1096 1120 1034 1050 1036 1020 981 1182 1140 (R) 1111 1058Average kilometers traveled per liter 20 20 22 22 24 25 24 25 25 25 25 25 26 22 23 22 23 22 25 25 (R) 22 22Average fuel consumed per vehicle (liters) 32044 30732 30722 34831 37780 35737 37621 38899 39983 41992 44148 43764 42934 47680 45788 46339 11843 44028 47240 45551 (R) 50228 48975KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of combination trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

SOURCES 1965-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-15M Bus Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Number registered (thousands) 272 314 378 462 529 593 627 631 645 654 670 686 695 698 716 729 746 750 761 777 795 807 822Vehicle-kilometers traveled (millions) 6920 7564 7242 9817 9817 7242 9173 9334 9334 9817 10300 10300 10562 11011 11277 12331 12215 11389 11016 10916 10945 (R) 11233 11256Fuel consumed (million liters) 3131 3312 3104 3986 3854 3157 3388 3271 3324 3517 3649 3664 3747 3886 3938 4347 4210 3883 3784 3668 5149 (R) 4240 4342Average kilometers traveled per vehicle (thousands) 254 241 192 212 186 122 146 148 145 150 154 150 152 158 158 169 164 94 145 141 138 (R) 139 137Average kilometers traveled per liter 22 23 23 25 25 23 27 29 28 28 28 28 28 28 29 28 29 69 29 30 21 (R) 26 26Average fuel consumed per vehicle (liters) 11504 10539 8221 8625 7287 5319 5404 5181 5155 5374 5443 5345 5394 5571 5504 5965 5642 1369 4974 4723 6474 (R) 5253 5282KEY R = revised

NOTEIncludes both publicly and privately owned school transit and other commercial buses

SOURCES1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Number of vehicles (thousands) 65 62 61 62 75 94 93 97 103 108 116 116 123 126 124 129 131 135 135 138 144 121Vehicle-kilometers traveled (millions) 3449 3232 3030 3502 3681 4492 5217 5321 5399 5528 5580 5713 5875 6028 6105 6393 6567 6753 6883 7022 7195 7405Electric power consumed (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954Primary energy consumed (thousand liters)Diesel 787744 940296 1024332 1381903 1633027 2304324 2464417 2517897 2592795 2568444 2567365 2567592 2622208 2713959 2799770 2889666 2975428 2818856 2742663 2698041 2766023 2763040Gasoline and other nondiesel fuelsb 726421 470148 258165 28678 43154 173008 128348 130472 140738 172887 227136 229888 231716 225092 199169 184327 182775 173648 193624 175242 200275 220008Compressed natural gas N N N N N N N N 3819 5977 18302 40655 57129 90494 141075 168065 207418 250651 306811 378810 423247 465806KEY kWh = kilowatt hour N = data do not exist

Table 4-16M Transit Industry Electric Power and Primary Energy Consumptiona and Travel

American Public Transportation Association 2006 Public Transportation Fact Book (Washington DC Annual issues) tables 12 18 26 27 28 and similar tables in earlier editions Internet site httpwwwaptacom as of Dec 5 2007

a Prior to 1984 excludes commuter rail automated guideway urban ferryboat demand responsive vehicles and most rural and smaller systemsb 1992 to 2003 data include propane liquid petroleum gas liquefied natural gas kerosene and all other nondiesel fuels except compressed natural gas 1960 to 1991 data include propane Series not continuous between 1991 and 199

The heat equivalent factors used in joule conversions are diesel = 38657950 joulesliter electric = 3600000 jouleskWh negating electrical system loses (to include electrical system loses multiply this conversion factor by approximately three) gasoline = 34839537 joulesliter

NOTES

1609344 kilometers = 1 mile3785412 liters = 1 gallon

SOURCE

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number in useLocomotivesa 29031 27780 27077 27846 28094 22548 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Carsb 1965486 1800662 1784181 1723605 1710827 1421686 1212261 1189660 1173136 1173132 1192412 1218927 1240573 1270419 1315667 1368836 1380796 1314136 1299670 1278980 1287920 1312245 1346507Kilometers traveled (millions)Freight train-kilometersc 651 677 687 648 690 559 611 603 628 653 710 738 754 764 764 789 811 804 804 830 861 (R) 881 906Locomotive unit-kilometers N N N 2380 2464 1976 2060 1992 2057 2124 2261 2326 2358 2290 2317 2420 2419 2378 2323 (R) 2388 2476 (R) 2555 2671Car-kilometers 45335 47212 48103 44508 47117 40105 42099 41244 42049 43264 45842 48897 51040 50952 52556 54478 55667 55109 55812 57220 59660 60692 62692Average kilometers traveled per vehicle (thousands)Locomotives N N N 855 877 876 1094 1086 1142 1170 1222 1236 1224 1163 1144 1195 1208 1204 1133 1150 1125 1122 1126Cars 23 262 270 258 275 282 347 347 358 369 384 401 411 401 399 398 403 419 429 447 463 (R) 463 466Average kilometers traveled per literTrains 005 005 005 005 005 005 005 005 006 006 006 006 006 006 006 006 006 006 006 006 006 006 006Cars 346 347 358 322 319 341 357 375 370 370 363 371 377 377 387 387 397 392 395 395 388 391 395Fuel consumed (million liters) 13109 13597 13419 13843 14778 11773 11792 11000 11375 11689 12621 13173 13548 13533 13563 14063 14006 14044 14120 14483 15365 15513 15868Average fuel consumed per locomotivea (thousand liters) 4515 4895 4956 4971 5260 5221 6260 5997 6318 6437 6820 7003 7031 6875 6694 6943 6993 7113 6886 6972 (R) 6979 6810 6687

2005 Association of American Railroads personal communication June 13 2007

All data except for locomotive unit-kilometersAssociation of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 33 34 40 49 and 51 and similar tables in earlier editionsLocomotive unit-kilometers1975-92 2002 Ibid Railroad Ten-Year Trends (Washington DC Annual issues)

3785412 liters = 1 gallon

SOURCES

1993-2001 2003-04 Ibid Analysis of Class I Railroads (Washington DC Annual issues)

Table 4-17M Class I Rail Freight Fuel Consumption and Travel

2006 Association of American Railroads personal communication Apr 24 2008

KEY N = data do not exist

a For 1960-80 the total includes a small number of steam and electric units which are not included in the per locomotive fuel consumption figureb Includes cars owned by Class I railroads other railroads car companies and shippersc Based on the distance run between terminals and or stations does not include yard or passenger train-kilometers

NOTES1609344 kilometers = 1 mile

Table 4-18M Amtrak Fuel Consumption and Travel 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Number in useLocomotives 355 419 291 318 316 336 360 338 313 299 332 345 329 378 401 372 442 276 258Cars 1913 2128 1854 1863 1786 1796 1853 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186

Kilometers traveled (millions)Train-kilometers 48 48 48 53 55 55 56 55 51 48 51 53 55 56 58 61 60 60 58Car-kilometers 407 378 404 484 504 494 488 489 470 444 463 502 550 592 608 609 534 496 426

Locomotive fuel consumedElectric (million of kWh hours) 180 254 295 330 303 300 301 309 304 293 282 275 283 350 U U U U UDiesel (million litres) 238 242 246 310 310 310 314 284 250 269 284 284 280 288 U U U U U

Average kilometers traveled per car 213000 178000 218000 260000 282000 275000 263000 264000 273000 257000 268000 256000 276000 313000 292000 210000 329000 306000 352000KEY kWh = kilowatt hour U = data are not available

SOURCESNumber of locomotives and cars1975ndash80 Amtrak State and Local Affairs Department personal communication1985ndash2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

2001ndash05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsMiles traveledTrain-miles 1975ndash2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

2003ndash05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsCar-miles1975 Association of American Railroads Yearbook of Railroad Facts 1975 (Washington DC 1976) p 401980ndash85 Amtrak State and Local Affairs Department and Public Affairs Department personal communication

1990ndash2000 Ibid Amtrak Corporate Reporting Route Profitability System personal communication Aug 22 2001

2001ndash05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsLocomotive fuel consumed1975ndash2000 Amtrak State and Local Affairs Department personal communication

Petroleum

Motor gasoline

Distillate and residual fuel

oilJet fuel and aviation gas Otherd Total Electricity Natural gas

Coal and othere Total

FY 1996 total 291 1800 5412 229 7736 1947 1555 458 11695Agriculture 45 05 00 02 53 21 17 04 96Defense 35 1645 5326 143 7150 1097 967 328 9543Energy 11 18 03 03 36 187 176 73 471GSA 01 03 00 00 04 95 36 17 153Health and Human Services 00 17 00 01 18 26 25 00 70Interior 09 11 01 04 26 14 04 01 45Justice 28 05 09 00 42 37 45 04 128NASA 02 07 13 00 23 66 28 02 121Postal Service 130 26 00 00 156 159 62 06 384Transportation 05 08 51 73 138 56 13 01 207Veterans Affairs 06 23 00 00 30 94 146 14 283Othera 17 31 09 01 59 93 37 06 195

FY 2005P total 487 2527 5197 94 8304 1982 1383 430 12100Agriculture 04 06 00 01 12 37 38 15 101Defense 175 2335 5114 42 7666 1066 794 308 9834Energy 128 44 00 02 175 192 59 04 429GSA 00 01 00 00 01 104 71 19 194Health and Human Services 05 02 06 00 15 31 07 00 53Interior 23 07 01 07 40 22 16 03 81Justice 24 12 01 12 50 23 12 06 91NASA 02 04 08 00 15 59 33 03 109Postal Service 20 21 02 01 44 176 65 35 321Transportation 30 04 16 00 51 53 83 09 195Veterans Affairs 08 13 00 00 21 112 165 17 314Otherc 66 76 46 26 216 108 41 12 377

FY 2006P total 504 2193 4671 50 7426 2017 1369 439 11252Agriculture 23 04 00 02 31 21 18 00 72Defense 183 2018 4603 23 6828 1073 724 03 8902Energy 08 20 01 02 33 222 78 276 419GSA 00 01 00 00 02 104 68 88 191Health and Human Services 03 04 00 01 08 31 54 18 98Interior 22 13 01 11 46 24 14 04 85Justice 50 11 01 01 62 64 113 01 248NASA 02 04 08 01 15 58 32 08 109Postal Service 141 26 00 02 170 177 65 03 419Transportation 04 02 05 00 13 28 07 06 49Veterans Affairs 08 13 00 00 21 110 159 01 309Otherc 59 76 51 05 195 106 40 19 351

c Includes National Archives and Records Administration US Department of Commerce US Department of Labor US Department of State Environmental Protection Agency Federal Communications Commission Federal Trade Commission Social Security Administration International Broadcasting Bureau Nuclear Regulatory Commission US Department of Homeland Security US Department of Housing and Urban Development US Department of the Treasury Railroad Retirement Board and Tennessee Valley Authority

1996 2004-06 US Department of Energy Energy Information Administration Annual Energy Review 2005 table 113 Internet site httpwwweiadoegovemeuaer as of Nov 6 2006

These data include energy consumed at foreign installations and in foreign operations including aviation and ocean bunkering primarily by the US Department of Defense US government energy use for electricity generation and uranium enrichment is excluded Other energy used by US agencies that produce electricity or enriched uranium is included The US governments fiscal year runs from October 1 through September 30 This table uses a conversion factor for electricity of 3600000 joules per kilowatt-hour and a conversion factor for purchased steam of 2326 kilojoules per kilogram

SOURCE

Numbers may not add to totals due to rounding

Table 4-19M US Government Energy Consumption by Agency and Source (Petajoules)

KEY Btu = British thermal unit FY = fiscal year GSA = General Services Administration NASA = National Aeronautics and Space Administration P = preliminary

d Includes liquefied petroleum gasese Includes purchased steam chilled water from district heating and cooling systems and any other energy type such as renewable energy

NOTES

1 Trillion BTU=105506 Petajouls

a Includes US Department of Commerce Panama Canal Commission Tennessee Valley Authority US Department of Labor US Information Agency US Department of Housing and Urban Development Federal Communications Commission Office of Personnel Management US Department of State Federal Emergency Management Agency US Department of the Treasury National Archives and Records Administration Nuclear Regulatory Commission Railroad Retirement Board Federal Trade Commission Equal Employment Opportunity Commission and Environmental Protection Agencyb Includes National Archives and Records Administration US Department of Commerce US Department of Labor US Department of State Environmental Protection Agency Federal Communications Commission Federal Trade Commission Social Security Administration International Broadcasting Bureau Equal Employment Opportunity Commission Nuclear Regulatory Commission Office of Personnel Management US Department of Housing and Urban Development US Department of the Treasury Railroad Retirement Board Tennessee Valley Authority Federal Emergency Management Agency Central Intelligence Agency and National Science Foundation

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air certificated carrierDomestic operations 5659 6633 6677 5078 3764 3308 3233 3062 2992 2988 2913 2873 2742 2731 2703 2655 2546 2550 2358 (R) 2292 (R) 2235 (R) 2112 2031International operations 6031 6748 7202 5550 2845 3345 2980 3022 2792 2687 2718 2736 2693 2733 2804 2703 2513 2599 2570 (R) 2739 (R) 2549 (R) 2500 2419Highwaya

Passenger car 2947 2921 3174 3109 2850 2799 2498 2395 2428 2481 2472 2439 2418 2397 2384 2407 2353 2358 2360 (R) 2341 2301 (R) 2350 2311Other 2-axle 4-tire vehicle N N 4465 4308 3743 3259 2976 2804 2790 2803 2849 2975 2977 2992 2995 3024 2956 2612 2702 (R) 2918 2918 (R) 2673 2633Motorcycle b b 1639 1543 1393 1243 1460 1257 1305 1352 1400 1491 1489 1490 1490 1490 1490 1343 1291 1291 1291 (R) 1170 1150Transit motor bus N N N N 1798 2222 2441 2470 2647 2586 2728 2724 2751 2772 2709 2651 2719 2424 2327 2304 (R) 2341 (R) 2224 2138Amtrak N N N 1562 1408 1370 1354 1297 1334 1326 1269 1205 1411 1442 1402 1381 1399 U U U U U UKEY N = data do not exist R = revised U = data are not availablea For 1995 and subsequent years highway passenger-miles were taken directly fromHighway Statistics rather than derived from vehicle-miles and averageb Included in passenger car

Table 4-20M Energy Intensity of Passenger Modes (Kilojoule per passenger-kilometer)

NOTES

To calculate total joules multiply fuel consumed (see tables 4-21 4-22 4-24 4-25) by 37626700 joulesliter for air carrier 34839537 joulesliter for passenger car other 2-axle 4-tire vehicle and motorcycle and 38657950 joulesliter for transit motor bus and Amtrak diesel consumption and 3599851 joulesKwH for Amtrak electric consumption1609344 kilometers = 1 mileSOURCESAirCertificated air carriersPassenger-kilometers1960-80 Air Transport Association Internet site httpwwwairlinesorg as of Aug 30 2004

Fuel consumedUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovoaifuelfuelyearlyhtml as of Mar 27 2008

1985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)

HighwayPassenger car

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-11960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Motorcycle

AmtrakAmtrak State and Local Affairs Department personal communication April 22 2008

1970-85 Ibid Highway Statistics Summary to 1985 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1990-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Transit motor busAmerican Public Transportation Association 2008 Public Transportation Fact Book (Washington DC Annual issues) tables 2 and 28 and similar tables in earlier editions

Table 4-21M Energy Intensity of Certificated Air Carriers All Servicesa

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Aircraft-kilometers (millions)Domestic operations 1381 1825 3328 3135 4060 4902 6378 6202 6429 6690 7049 7450 7743 7903 8103 8581 9116 8929 9039 9792 10608 (R) 10550 10478International operations 293 457 764 607 645 668 1223 1299 1455 1547 1577 1606 1679 1793 1918 1971 2063 2037 1971 2031 2258 (R) 2134 2298Available seat-kilometers (millions)Domestic operations 84040 152545 343048 388306 556878 717487 906165 874901 897996 919722 942171 971910 1008075 1049160 1065889 1125463 1170046 1118816 1089443 1108943 1193608 (R) 1210429 1194875International operations 21480 47529 83622 99335 139220 164094 274087 276101 313474 322112 320087 326954 335841 368039 382280 391040 408850 378696 346984 329521 369808 (R) 404879 429252Passenger-kilometers (millions)Domestic operations 49177 83504 167608 211996 322334 435463 547549 535213 559941 569993 609925 635221 684930 725190 745548 785934 830629 782956 776202 812974 897841 (R) 941460 952465International operations 13367 27019 44358 50022 87489 105925 189412 185701 210216 218079 225937 234881 246337 272552 277218 290115 310278 287015 276582 271344 312491 (R) 340422 354277Fuel consumed (million liters)Domestic operations 7397 14721 29742 28610 32249 38289 46648 43557 44527 45268 46880 47967 50033 51341 50479 54518 56193 53062 48636 49054 (R) 51567 52197 50944International operations 2143 4845 8491 7378 6614 9418 14797 14913 15596 15571 16196 16817 17483 18605 18636 19875 20724 19826 18892 18308 (R) 18668 (R) 20899 22059Seats per aircraftDomestic operations 609 836 1031 1239 1371 1464 1421 1411 1397 1375 1337 1305 1302 1327 1315 1312 1284 1253 1205 1132 1125 (R) 1147 1140International operations 733 1040 1094 1637 2157 2457 2241 2126 2155 2083 2030 2036 2001 2053 1993 1984 1982 1859 1761 1623 1637 (R) 1897 1868Seat-kilometers per literDomestic operations 11 10 12 14 17 19 19 20 20 20 20 20 20 20 21 21 21 21 22 23 (R) 23 (R) 23 23International operations 10 10 10 13 21 17 19 19 20 21 20 19 19 20 21 20 20 19 18 18 (R) 20 (R) 19 19Energy intensity (Kilojoulepassenger-kilometer)Domestic operations 20305 23800 23956 18219 13506 11870 11501 10987 10735 10722 10376 10194 9861 9558 9141 9365 9133 9149 8459 8146 (R) 7754 (R) 7485 7221International operations 21638 24209 25840 19911 10206 12003 10546 10842 10016 9639 9677 9666 9581 9215 9075 9249 9017 9325 9221 9108 (R) 8065 (R) 8288 8406Load factor (percent)Domestic operations 585 547 489 546 580 607 604 612 624 620 647 654 679 691 699 698 710 691 703 726 744 (R) 773 790International operations 622 568 530 504 628 646 691 673 671 676 706 718 733 741 725 742 759 728 766 765 791 (R) 794 799KEY Btu = British thermal unit R = revised

a US owned carriers only Operation of foreign-owned carriers in or out of the United States not included

NOTESAircraft-kilometers includes all four air-carrier groups (majors nationals large regionals and medium regionals) scheduled and charter passenger and all-cargo Fuel consumed includes majors nationals and large regionals scheduled and charter passenger Passenger-kilometers includes all four air-carrier groups scheduled and charter passenger service onlyInternational operations include operations outside the United States including those between the United States and foreign countries and the United States and its territories or possessions Heat equivalent factor used for Btu conversion is 135000 Btugallon

SOURCESAircraft-miles available seat-miles passenger-miles and load factor1960-80 Air Transport Association Internet site httpwwwair-transportorgpublicindustry as of July 31 20021985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)Fuel consumed1960-75 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovoaifuelfuelyearlyhtml as of July 21 20041980-2006 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Apr 25 2007Seats per aircraft seat-miles per gallon and energy intensivenessDerived by calculation

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Vehicle-kilometers (millions) Passenger car 944685 1163556 1475768 1664062 1789591 2006852 2265956 2185489 2208020 2212848 2262738 2314237 2365736 2418844 2494483 2525061 2575412 2620546 2669055 2690950 2735708 2749437 2707996Other 2-axle 4-tire vehicle N N 197949 323478 468319 629254 925373 1044464 1137806 1200571 1231148 1271382 1314834 1369552 1396911 1450019 1485519 1517945 1554681 1583746 1653060 1675409 1752597Motorcycle b b 4828 9012 16415 14645 15450 14806 15450 15933 16415 15772 15933 16254 16576 17059 16848 15512 15372 15413 16290 16824 19957Passenger-kilometers (millions)a

Passenger car 1842699 2245035 2817961 3144658 3238000 3369966 3672523 3540557 3553432 3561478 3621024 3680570 3761037 3844723 3965424 4015313 4094907 4114257 4217107 4251702 4322420 4344110 4278636Other 2-axle 4-tire vehicle N N 363712 584192 838468 1107229 1609344 1797637 1934431 2016508 2042258 2021336 2088929 2177442 2222504 2306190 2361976 2701852 2695316 2745707 2865873 2904621 3038437Motorcycle b b 4828 9656 19312 19312 19312 19312 19312 19312 19312 17703 17703 17703 17703 19312 18533 18926 19523 19574 20688 21367 25347Average occupancy ratePassenger car 195 193 191 189 181 168 162 162 161 161 160 159 159 159 159 159 159 157 158 158 158 158 158Other 2-axle 4-tire vehicle N N 184 181 179 176 174 172 170 168 166 159 159 159 159 159 159 178 173 173 173 173 173Motorcycle b b 100 107 118 132 125 130 125 121 118 112 111 109 107 113 110 122 127 127 127 127 127Fuel consumed (million liters)Passenger car 155849 188222 256723 280650 264911 270725 263344 243466 247702 253804 256931 257681 262030 264570 271395 277406 276582 278450 285690 285627 285427 293063 283841Other 2-axle 4-tire vehicle N N 46610 72229 90078 103580 134802 144667 154933 162209 166982 172634 179254 186954 191019 200093 200395 202602 209031 229994 240060 222843 229631Motorcycle b b 227 428 772 689 723 697 723 750 776 742 750 765 780 801 793 730 723 725 766 715 833Energy intensity (Btupassenger-kilometer)c

Passenger car 2793 2768 3008 2947 2702 2653 2368 2271 2302 2353 2343 2312 2301 2272 2260 2281 2230 2235 2237 2218 2181 2228 2191Other 2-axle 4-tire vehicle N N 4232 4083 3548 3089 2766 2657 2645 2656 2700 2820 2834 2835 2838 2865 2802 2476 2561 2766 2766 2533 2496Motorcycle a a 1553 1463 1320 1178 1236 1191 1236 1282 1327 1384 1398 1426 1455 1370 1412 1273 1223 1223 1223 1106 1085

For 1970-94 the unrevised motorcycle fuel consumed is subtracted from the combined passenger car and motorcycle fuel consumed from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Passenger-miles 1960-97 Vehicle-miles multiplied by vehicle occupancy rates1998-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Fuel consumed

1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201AFor 1970-94 the unrevised motorcycle vehicle-miles are subtracted from the combined passenger car and motorcycle vehicle-miles from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A

Motorcycle1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Vehicle-milesPassenger car1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

p p p y p y p y p gcar category Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the closest available categoryVehicle-miles and passenger-miles data for 1960 through 1999 have been rounded to the nearest billion miles

SOURCES

These new categories include passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck

KEY Btu = British thermal unit N = data do not exist R = revised

Table 4-22M Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles

In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle type categories for 1993 and later data

b Included in passenger carc Energy Intensity (Btupassenger-kilometer) is calculated by converting the fuel consumption in liters to the energy equivalent Btu units and dividing by the passenger-miles The heat equivalent factor used for Btu conversion is 330215046605 Btusliter

NOTES

Table 4-23M Average Fuel Efficiency of US Passenger Cars and Light Trucks1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Average US passenger car fuel efficiency (kmpl) (calendar year)Passenger cara 68 74 86 90 89 88 88 90 90 91 92 91 93 94 94 95 96 94 95 U UOther 2-axle 4-tire vehicle 52 61 68 72 74 74 74 74 73 73 73 72 74 75 74 75 69 75 77 U UNew vehicle fuel efficiency (kmpl)b (model year)Light-duty vehicle

Passenger car 103 117 119 121 119 121 120 122 121 122 122 120 121 122 123 125 125 129 (R) 128 133 133Domestic 96 112 114 116 115 118 117 118 119 118 122 119 122 122 124 123 127 130 (R) 129 (R) 130 132Imported 126 134 127 128 124 126 126 129 126 128 124 123 120 123 122 127 122 127 126 136 133

Light truck (lt8500 lbs GVWR)c 79 88 88 91 88 89 88 87 88 88 90 89 91 89 91 92 91 94 96 98 99CAFE standards (kmpl)b (model year)Passenger car 85 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117Light truck d68 60 83 85 86 86 87 87 88 88 88 88 88 88 88 88 88 88 89 92 94 96

KEY CAFE = Corporate Average Fuel Economy GVWR = gross vehicle weight rating kmpl = kilometers per liter R = revised U = data are not available

a From 1980 to 1994 passenger car fuel efficiency includes motorcyclesb Assumes 55 city and 45 highway-miles The source calculated average miles per gallon for light-duty vehicles by taking the reciprocal of the sales-weighted average of gallons per mile This is called the harmonic average These data were then converted to metric units c Beginning with FY 1999 the total light truck fleet ceased to be categorized by either domestic or import fleetsd 2 Wheel Drive4 Wheel Drive No combined figure available for this year

NOTES

The fuel efficiency figures for light duty vehicles represent the sales-weighted harmonic average of the combined passenger car and light truck fuel economies1609344 kilometers = 1 mile3785412 liters = 1 gallon

SOURCESAverage US passenger car fuel efficiency1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of Aug 2 2001)1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1New vehicle fuel efficiency (based on model year production) and CAFE standardsUS Department of Transportation National Highway Traffic Safety Administration Summary of Fuel Economy Performance (Washington DC Annual Issues) available at httpwwwnhtsadotgovportalsitenhtsamenuitem43ac99aefa80569eea57529cdba046a0 as of Sep 17 2008

Table 4-24M Energy Intensity of Transit Motor Buses1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Vehicle-kilometers (millions) 2536 2459 2268 2456 2699 2998 3428 3487 3505 3556 3479 3514 3574 3612 3500 3663 3725 3825 3880 3896 3977 4015Passenger-kilometers (millions) N N N N 35084 34118 33766 33941 32728 32584 30307 30285 30732 31550 32766 34126 34184 35441 35150 34218 34403 35124Fuel consumed (million liters diesel) 787 939 1026 1382 1632 1961 2132 2169 2241 2179 2139 2134 2187 2262 2296 2340 2404 2223 2116 2039 2084 2021Energy intensity (kilojoules passenger-kilometers) N N N N 1798 2222 2441 2470 2647 2586 2728 2724 2751 2772 2709 2651 2719 2424 2327 2304 2341 2225KEY N = data do not exist

NOTESHeat equivalent factor used for joule conversion is 38657950 joulesliter1609344 kilometers = 1 mile3785412 liters = 1 gallon 06555814 kilojoule per passenger-kilometer = 1 British thermal unit (Btu) per passenger-mile

SOURCEAmerican Public Transportation Association 2007 Public Transportation Fact Book (Washington DC 2007) tables 55 10 12 27 and similar tables in earlier editions Internet site httpwwwaptacom as of Nov 27 2007

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Revenue freight tonne-kilometers (millions) 835555 1018882 1116600 1101187 1341653 1280372 1509566 1516728 1557470 1619560 1752990 1906268 1979686 1969394 2010092 2092813 2140261 2183347 2200194 2265056 2427347 2730131 2586920Car-kilometers (millions) 45335 47212 48103 44508 47117 40105 42099 41244 42049 43264 45842 48897 51040 50952 52556 54478 55667 55109 55812 57220 59660 60692 62692Tonnes per car load 444 489 549 608 671 677 666 662 660 644 634 653 666 634 641 634 626 640 633 623 613 610 609Fuel consumed (million liters) 13109 13597 13419 13843 14778 11773 11792 11000 11375 11689 12621 13173 13548 13533 13563 14063 14006 14044 14120 14483 15365 15513 15868Energy intensity (kilojoule revenue freight tonne-kilometer) 606 516 465 486 426 355 302 280 282 279 278 267 265 266 261 260 253 249 248 247 245 242 237Energy intensity (kilojoule car-kilometer) 11178 11134 10784 12024 12125 11348 10828 10311 10458 10445 10643 10415 10261 10268 9976 9979 9726 9852 9780 9785 9956 9881 9784

a Class I railroads are those that have operating revenues of $2894 million or more in 2004

Table 4-25M Energy Intensity of Class I Railroada Freight Service

NOTESThe heat equivalent factor used for joule conversion is 38655900 joulesliter1459972 tonne-kilometer = 1 ton-mile1609344 kilometers = 1 mile

Association of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 34 37 and 40 and similar tables in earlier editions

09071847 tonnes = 1 ton3785412 liters = 1 gallon

SOURCE

appendix b

Glossary

14 CFR 121 (Air) Code of Federal RegulationsTitle 14 part 121 Prescribes rules governing theoperation of domestic flag and supplemental aircarriers and commercial operators of largeaircraft

14 CFR 135 (Air) Code of Federal RegulationsTitle 14 part 135 Prescribes rules governing theoperations of commuter air carriers (scheduled)and on-demand air taxi (unscheduled)

ACCIDENT (Aircraft) As defined by theNational Transportation Safety Board an occur-rence incidental to flight in which as a result ofthe operation of an aircraft any person (occupantor nonoccupant) receives fatal or serious injury orany aircraft receives substantial damage

ACCIDENT (Automobile) See Crash (Highway)

ACCIDENT (Gas) 1) An event that involves therelease of gas from a pipeline or of liquefied natu-ral gas (LNG) or other gas from an LNG facilityresulting in personal injury necessitating in-patient hospitalization or a death or estimatedproperty damage of $50000 or more to the oper-ator or others or both including the value of thegas that escaped during the accident 2) An eventthat results in an emergency shutdown of an LNGfacility or 3) An event that is significant in thejudgment of the operator even though it did notmeet the criteria of 1) or 2)

ACCIDENT (Hazardous liquid or gas) Release ofhazardous liquid or carbon dioxide while beingtransported resulting in any of the following 1)An explosion or fire not intentionally set by theoperator 2) Loss of 50 or more barrels of hazard-ous liquid or carbon dioxide 3) Release to theatmosphere of more than 5 barrels a day of highlyvolatile liquids 4) Death of any person 5) Bodilyharm resulting in one or more of the following a)The loss of consciousness b) The necessity of car-rying person from the scene c) The necessity formedical treatment d) Disability that prevents thedischarge of normal duties and 6) Estimateddamage to the property of the operators andorothers exceeding $50000

ACCIDENT (Highway-Rail Grade-Crossing) Animpact between on-track railroad equipment andan automobile bus truck motorcycle bicyclefarm vehicle or pedestrian or other highway userat a designated crossing site Sidewalks pathwaysshoulders and ditches associated with the cross-ing are considered to be part of the crossing site

ACCIDENT (Rail) A collision derailment fireexplosion act of God or other event involvingoperation of railroad on-track equipment (stand-ing or moving) that results in railroad damageexceeding an established dollar threshold

ACCIDENT (Recreational Boating) An occur-rence involving a vessel or its equipment thatresults in 1) A death 2) An injury that requiresmedical treatment beyond first aid 3) Damage toa vessel and other property totaling to more than$500 or complete loss of a vessel or 4) The disap-pearance of the vessel under circumstances thatindicate death or injury Federal regulations (33CFR 173-4) require the operator of any vesselthat is numbered or used for recreational pur-poses to submit an accident report

ACCIDENT (Transit) An incident involving amoving vehicle Includes a vehicle object or per-son (except suicides) or a derailmentleft roadway

ACTIVE AIRCRAFT (General Aviation) Alllegally registered civil aircraft that flew one ormore hours

AERIAL APPLICATION FLYING (General Avia-tion) The operation of aircraft for the purposes ofdispensing any substances required for agricul-ture health forestry seeding firefighting andinsect control purposes

AERIAL OBSERVATION FLYING (General Avi-ation) Any use of an aircraft for aerial mappingand photography surveying patrolling fish spot-ting search and rescue hunting sightseeing orhighway traffic advisory not included under Fed-eral Aviation Regulations (FAR) Part 135

Appendix B Glossary

AIR CARRIER A person who undertakesdirectly by lease or other arrangement to engagein air transportation More specifically the com-mercial system of air transportation comprisinglarge certificated air carriers small certificated aircarriers commuter air carriers on-demand airtaxis supplemental air carriers and air travelclubs

AIR ROUTE TRAFFIC CONTROL CENTER Afacility established to provide air traffic controlservice to aircraft operating on an IFR (instru-ment flight rule) flight plan within controlled air-space and principally during the en route phase offlight

AIR TAXI An aircraft operator who conductsoperations for hire or compensation in accor-dance with 14 CFR 135 (for safety purposes) orFAR Part 135 (for economic regulationsreportingpurposes) in an aircraft with 30 or fewer passen-ger seats and a payload capacity of 7500 poundsor less An air taxi operates on an on-demandbasis and does not meet the flight scheduled qual-ifications of a commuter air carrier (see below)

AIRCRAFT REVENUE HOURS The airbornehours in revenue service computed from themoment an aircraft leaves the ground until itlands

AIRCRAFT REVENUE MILES The miles (com-puted in airport-to-airport distances) for eachinterairport hop actually completed in revenueservice whether or not performed in accordancewith the scheduled pattern For this purposeoperation to a flag stop is a hop completed even ifa landing is not actually made In cases where theinterairport distances are inapplicable aircraft-miles flown are determined by multiplying thenormal cruising speed for the aircraft type by theairborne hours

AIRPORT A landing area regularly used by air-craft for receiving or discharging passengers orcargo

AIRPORTAIRWAY TRUST FUND See TrustFunds

ALTERNATIVE FUELS The Energy Policy Actof 1992 defines alternative fuels as methanoldenatured ethanol and other alcohol mixturescontaining 85 percent or more (but not less than70 percent as determined by the Secretary ofEnergy by rule to provide for requirements relat-ing to cold start safety or vehicle functions) by

volume of methanol denatured ethanol andother alcohols with gasoline or other fuelsIncludes compressed natural gas liquid petroleumgas hydrogen coal-derived liquid fuels fuelsother than alcohols derived from biological mate-rials electricity or any other fuel the Secretary ofEnergy determines by rule is substantially notpetroleum and would yield substantial energysecurity and environmental benefits

AMTRAK Operated by the National RailroadPassenger Corporation of Washington DC thisrail system was created by the Rail Passenger Ser-vice Act of 1970 (PL 91-518 84 Stat 1327) andgiven the responsibility for the operation of inter-city as distinct from suburban passenger trainsbetween points designated by the Secretary ofTransportation

ARTERIAL HIGHWAY A major highway usedprimarily for through traffic

ASPHALT A dark brown to black cement-likematerial containing bitumens as the predominantconstituent The definition includes crude asphaltand finished products such as cements fluxes theasphalt content of emulsions and petroleum dis-tillates blended with asphalt to make cutbackasphalt Asphalt is obtained by petroleumprocessing

AVAILABLE SEAT-MILES (Air Carrier) The air-craft miles flown in each interairport hop multi-plied by the number of seats available on that hopfor revenue passenger service

AVERAGE HAUL The average distance in milesone ton is carried It is computed by dividing ton-miles by tons of freight originated

AVERAGE PASSENGER TRIP LENGTH (BusRail) Calculated by dividing revenue passenger-miles by the number of revenue passengers

AVIATION GASOLINE (General Aviation) Allspecial grades of gasoline used in aviation recipro-cating engines as specified by American Societyof Testing Materials (ASTM) Specification D910and Military Specification MIL-G5572

Includes refinery products within the gasolinerange marketed as or blended to constitute avia-tion gasoline

BARREL (oil) A unit of volume equal to 42 USgallons

Appendix B Glossary

BLOOD ALCOHOL CONCENTRATION(Highway) A measurement of the percentage ofalcohol in the blood by grams per deciliter

BRITISH THERMAL UNIT The quantity ofheat needed to raise the temperature of 1 poundof water by 1 degF at or near 392 degF

BULK CARRIER (Water) A ship with specializedholds for carrying dry or liquid commodities suchas oil grain ore and coal in unpackaged bulkform Bulk carriers may be designed to carry asingle bulk product (crude oil tanker) or accom-modate several bulk product types (orebulkoilcarrier) on the same voyage or on a subsequentvoyage after holds are cleaned

BUS Large motor vehicle used to carry more than10 passengers includes school buses intercitybuses and transit buses

BUSINESS TRIP (American Travel Survey) Atrip taken for business or business combined withpleasure or for attending a convention confer-ence or seminar

CAFE STANDARDS See Corporate Average FuelEconomy Standards

CAR-MILE (Rail) The movement of a railroadcar a distance of 1 mile An empty or loaded car-mile refers to a mile run by a freight car with orwithout a load In the case of intermodal move-ments the designation of empty or loaded refersto whether the trailerscontainers are moved withor without a waybill

CERTIFICATE OF PUBLIC CONVENIENCEAND NECESSITY (Air Carrier) A certificateissued by the Department of Transportation to anair carrier under Section 401 of the Federal Avia-tion Act authorizing the carrier to engage in airtransportation

CERTIFICATED AIR CARRIER An air carrierholding a Certificate of Public Convenience andNecessity issued by the US Department of Trans-portation (DOT) to conduct scheduled servicesinterstate These carriers may also conduct non-scheduled or charter operations Certificated aircarriers operate large aircraft (30 seats or more ora maximum load of 7500 pounds or more) inaccordance with FAR Part 121 See also LargeCertificated Air Carrier

CERTIFICATED AIRPORTS Airports that ser-vice air carrier operations with aircraft seatingmore than 30 passengers

CHAINED DOLLARS A measure used toexpress real prices defined as prices that areadjusted to remove the effect of changes in thepurchasing power of the dollar Real prices usu-ally reflect buying power relative to a referenceyear The ldquochained-dollarrdquo measure is based onthe average weights of goods and services in suc-cessive pairs of years It is ldquochainedrdquo because thesecond year in each pair with its weightsbecomes the first year of the next pair Prior to1996 real prices were expressed in constant dol-lars a weighted measure of goods and services ina single year See also Constant Dollars and Cur-rent Dollars

CLASS I RAILROAD A carrier that has anannual operating revenue of $250 million or moreafter applying the railroad revenue deflator for-mula which is based on the Railroad Freight PriceIndex developed by the US Department of LaborBureau of Labor Statistics The formula is the cur-rent years revenues x 1991 average indexcurrentyears average index

COASTWISE TRAFFIC (Water) Domestic trafficreceiving a carriage over the ocean or the Gulf ofMexico (eg between New Orleans and Balti-more New York and Puerto Rico San Franciscoand Hawaii Alaska and Hawaii) Traffic betweenGreat Lakes ports and seacoast ports when hav-ing a carriage over the ocean is also consideredcoastwise

COEFFICIENT OF VARIATION Ratio of thesampling error (or standard error) of a statistic tothe value of that statistic Also referred to as rela-tive standard error

COLLECTOR (Highway) In rural areas routesthat serve intracounty rather than statewidetravel In urban areas streets that provide directaccess to neighborhoods and arterials

COLLISION WITH OBJECT (Transit) An inci-dent in which a transit vehicle strikes an obstacleother than a vehicle or person (eg building util-ity pole) Reports are made if the accident resultsin a death injury or property damage over$1000

COLLISION WITH PEOPLE (Transit) An inci-dent in which a transit vehicle strikes a personExcludes suicides and suicide attempts Reportsare made if the incident results in death injury orproperty damage over $1000

Appendix B Glossary

COLLISION WITH VEHICLE (Transit) An inci-dent in which a transit vehicle strikes or is struckby another vehicle Reports are made if the inci-dent results in a death injury or property damageover $1000

COMBINATION TRUCK A power unit (trucktractor) and one or more trailing units (a semi-trailer or trailer)

COMMERCIAL BUS Any bus used to carry pas-sengers at rates specified in tariffs charges may becomputed per passenger (as in regular route ser-vice) or per vehicle (as in charter service)

COMMERCIAL SERVICE AIRPORT Airportreceiving scheduled passenger service and having2500 or more enplaned passengers per year

COMMUTER AIR CARRIER Different defini-tions are used for safety purposes and for eco-nomic regulations and reporting For safetyanalysis commuter carriers are defined as air car-riers operating under 14 CFR 135 that carry pas-sengers for hire or compensation on at least fiveround trips per week on at least one routebetween two or more points according to pub-lished flight schedules which specify the timesdays of the week and points of service On March20 1997 the size of the aircraft subject to 14CFR 135 was reduced from 30 to fewer than 10passenger seats (Larger aircraft are subject to themore stringent regulations of 14 CFR 121) Heli-copters carrying passengers or cargo for hirehowever are regulated under CFR 135 whatevertheir size Although in practice most commuterair carriers operate aircraft that are regulated forsafety purposes under 14 CFR 135 and most air-craft that are regulated under 14 CFR 135 areoperated by commuter air carriers this is not nec-essarily the case

For economic regulations and reporting require-ments commuter air carriers are those carriersthat operate aircraft of 60 or fewer seats or amaximum payload capacity of 18000 pounds orless These carriers hold a certificate issued undersection 298C of the Federal Aviation Act of 1958as amended

COMMUTER RAIL (Transit) Urban passengertrain service for short-distance travel between acentral city and adjacent suburb Does not includerapid rail transit or light rail service

COMPACT CAR An automobile industry desig-nation usually consisting of cars with a wheelbasebetween 100 and 104 inches

COMPRESSED NATURAL GAS Natural gascompressed to a volume and density that is practi-cal as a portable fuel supply It is used as a fuel fornatural gas-powered vehicles

CONSTANT DOLLAR Dollar value adjusted forchanges in the average price level by dividing acurrent dollar amount by a price index See alsoChained Dollar and Current Dollar

CORPORATE AVERAGE FUEL ECONOMYSTANDARDS (CAFEacute) Originally established byCongress for new automobiles and later for lighttrucks Under CAFE automobile manufacturersare required by law to produce vehicle fleets witha composite sales-weighted fuel economy notlower than the CAFE standards in a given yearFor every vehicle that does not meet the standarda fine is paid for every one-tenth of a mile per gal-lon that vehicle falls below the standard

CORPORATE FLYING (General Aviation) Cor-porate aircraft piloted by a professional crew

CRASH (Highway) An event that producesinjury andor property damage involves a motorvehicle in transport and occurs on a trafficway orwhile the vehicle is still in motion after runningoff the trafficway

CRUDE OIL A mixture of hydrocarbons thatexists in the liquid phase in natural undergroundreservoirs and remains liquid at atmospheric pres-sure after passing through surface-separatingfacilities

CURRENT DOLLAR Dollar value of a good orservice in terms of prices current at the time thegood or service is sold See also Chained Dollarand Current Dollar

DEADWEIGHT TONNAGE (Water) The carry-ing capacity of a vessel in long tons (2240pounds) It is the difference between the numberof tons of water a vessel displaces ldquolightrdquo and thenumber of tons it displaces when submerged tothe ldquoload linerdquo

DEMAND-RESPONSIVE VEHICLE (Transit) Anonfixed-route a nonfixed-schedule vehicle thatoperates in response to calls from passengers ortheir agents to the transit operator or dispatcher

Appendix B Glossary

DERAILMENTLEFT ROADWAY (Transit) Anoncollision incident in which a transit vehicleleaves the rails or road on which it travels Thisalso includes rollovers Reports are made for alloccurrences

DESTINATION OF TRIP (American Travel Sur-vey) The place the survey respondent names asthe destination of the trip If more than one loca-tion is visited on the same trip the farthest pointfrom the origin is considered the destination

DIESEL FUEL A complex mixture of hydrocar-bons with a boiling range between approximately350 and 650 degF Diesel fuel is composed primarilyof paraffins and naphthenic compounds thatauto-ignite from the heat of compression in a die-sel engine Diesel is used primarily by heavy-dutyroad vehicles construction equipment locomo-tives and by marine and stationary engines

DISTILLATE FUEL OIL A general classificationfor one of the petroleum fractions produced inconventional distillation operations Included areNo 1 No 2 and No 4 fuel oils and No 1 No 2and No 4 diesel fuels Distillate fuel oil is usedprimarily for space heating on- and off-highwaydiesel engine fuel (including railroad engine fueland fuel for agricultural machinery) and electricpower generation

DISTRIBUTION MAINS (Gas) A network ofpipelines services and equipment that carry orcontrol the supply of gas from the point of localsupply to and including the sales meters

DOMESTIC FREIGHT (Water) All waterbornecommercial movements between points in theUnited States Puerto Rico and the Virgin Islandsexcluding traffic with the Panama Canal ZoneCargo moved for the military in commercial ves-sels is reported as ordinary commercial cargomilitary cargo moved in military vessels isomitted

DOMESTIC OPERATIONS (Air Carrier) All aircarrier operations having destinations within the50 United States the District of Columbia theCommonwealth of Puerto Rico and the US Vir-gin Islands

DOMESTIC PASSENGER (Water) Any persontraveling on a public conveyance by waterbetween points in the United States Puerto Ricoand the Virgin Islands

DRY CARGO BARGES (Water) Large flat-bot-tomed nonself-propelled vessels used to transportdry-bulk materials such as coal and ore

EMERGENCY PREPAREDNESS TRUSTFUND See Trust Funds

ENERGY EFFICIENCY The ratio of energyinputs to the outputs from a process for examplemiles traveled per gallon of fuel (mpg)

ENPLANED PASSENGERS (Air Carrier) SeeRevenue Passenger Enplanements

ETHANOL A clear colorless flammable oxy-genated hydrocarbon with a boiling point of785 degC in the anhydrous state It is used in theUnited States as a gasoline octane enhancer andoxygenate (10-percent concentration) Ethanolcan be used in high concentrations in vehiclesoptimized for its use Otherwise known as ethylalcohol alcohol or grain-spirit

FATAL CRASH (Highway) A police-reportedcrash involving a motor vehicle in transport on atrafficway in which at least one person dies within30 days of the crash as a result of that crash

FATAL INJURY (Air) Any injury that results indeath within thirty days of the accident

FATALITY For purposes of statistical reportingon transportation safety a fatality shall be consid-ered a death due to injuries in a transportationcrash accident or incident that occurs within 30days of that occurrence

FATALITY (Rail) 1) Death of any person froman injury within 30 days of the accidentincident(may include nontrain accidentsincidents) or 2)Death of a railroad employee from an occupa-tional illness within 365 days after the occupa-tional illness was diagnosed by a physician

FATALITY (Recreational Boating) All deaths(other than deaths by natural causes) and missingpersons resulting from an occurrence that involvesa vessel or its equipment

FATALITY (Transit) A transit-caused death con-firmed within 30 days of a transit incident Inci-dents include collisions derailments personalcasualties and fires associated with transit agencyrevenue vehicles transit facilities on transit prop-erty service vehicles maintenance areas andrights of way

FATALITY (Water) All deaths and missing per-sons resulting from a vessel casualty

Appendix B Glossary

FEDERAL ENERGY REGULATORY COMMIS-SION (FERC) The Federal agency with jurisdic-tion over among other things gas pricing oilpipeline rates and gas pipeline certification

FERRY BOAT (Transit) Vessels that carry pas-sengers andor vehicles over a body of water Gen-erally steam or diesel-powered ferry boats mayalso be hovercraft hydrofoil and other high-speed vessels The vessel is limited in its use to thecarriage of deck passengers or vehicles or bothoperates on a short run on a frequent schedulebetween two points over the most direct waterroutes other than in ocean or coastwise serviceand is offered as a public service of a type nor-mally attributed to a bridge or tunnel

FIELD AND GATHERING GAS PIPELINES Anetwork of pipelines (mains) transporting naturalgas from individual wells to a compressor stationprocessing point or main trunk pipeline

FLAG STOP (Air) A drop-off or pick-up pointalong a predetermined route that is visited only byrequest or if a signal to stop is given

FOSSIL FUELS Any naturally occurring organicfuel formed in the Earths crust such as petro-leum coal and natural gas

FREIGHT REVENUE (Rail) Revenue from thetransportation of freight and from the exercise oftransit stopoff diversion and reconsignmentprivileges as provided for in tariffs

FREIGHTERS (Water) General cargo carriersfull containerships partial containerships roll-onrolloff ships and barge carriers

FULL-SIZE CAR As designated by the automo-bile industry cars with a wheelbase between 110and 114 inches

GAS TRANSMISSION PIPELINES Pipelinesinstalled for the purpose of transmitting gas froma source or sources of supply to one or more dis-tribution centers or to one or more large volumecustomers or a pipeline installed to interconnectsources of supply Typically transmission lines dif-fer from gas mains in that they operate at higherpressures and the distance between connections isgreater

GASOHOL A blend of finished motor gasoline(leaded or unleaded) and alcohol (generally etha-nol but sometimes methanol) limited to 10 per-cent by volume of alcohol

GASOLINE A complex mixture of relatively vol-atile hydrocarbons with or without small quanti-ties of additives that have been blended toproduce a fuel suitable for use in spark ignitionengines Motor gasoline includes both leaded orunleaded grades of finished motor gasolineblending components and gasohol Leaded gaso-line is no longer used in highway motor vehiclesin the United States

GENERAL AVIATION 1) All facets of civil avia-tion except facets of those air carriers holding aCertificate of Public Convenience and Necessity2) All civil aviation activity except that of air car-riers certificated in accordance with Federal Avia-tion Regulations (FAR) Parts 121 123 127 and135 The types of aircraft used in general aviationrange from corporate multiengine jet aircraftpiloted by professional crews to amateur-built sin-gle-engine piston-driven acrobatic planes to bal-loons and dirigibles 3) All civil aviationoperations other than scheduled air services andnonscheduled air transport operations for taxiscommuter air carriers and air travel clubs that donot hold Certificates of Public Convenience andNecessity

GENERAL ESTIMATES SYSTEM A data collec-tion system that uses a nationally representativeprobability sample selected from all police-reported highway crashes It began operation in1988

GROSS DOMESTIC PRODUCT The total out-put of goods and services produced by labor andproperty located in the United States valued atmarket prices As long as the labor and propertyare located in the United States the suppliers(workers and owners) may be either US residentsor residents of foreign countries

GROSS VEHICLE WEIGHT RATING (gvwr)(Truck) The maximum rated capacity of a vehi-cle including the weight of the base vehicle alladded equipment driver and passengers and allcargo

HARBOR MAINTENANCE TRUST FUND SeeTrust Funds

Appendix B Glossary

HAZARDOUS MATERIAL Any toxic substanceor explosive corrosive combustible poisonousor radioactive material that poses a risk to thepublics health safety or property-particularlywhen transported in commerce

HEAVY RAIL (Transit) An electric railway withthe capacity to transport a heavy volume of pas-senger traffic and characterized by exclusiverights-of-way multicar trains high speed rapidacceleration sophisticated signaling and high-platform loading Also known as ldquosubwayrdquo ldquoele-vated (railway)rdquo or ldquometropolitan railway(metro)rdquo

HIGHWAY-RAIL GRADE CROSSING (Rail) Alocation where one or more railroad tracks arecrossed by a public highway road or street or aprivate roadway at grade including sidewalks andpathways at or associated with the crossing

HIGHWAY TRUST FUND A grant-in-aid typefund administered by the US Department ofTransportation Federal Highway AdministrationMost funds for highway improvements are appor-tioned to States according to formulas that giveweight to population area and mileage

HOUSEHOLD TRIP (American Travel Survey)A trip in which one or more members of a house-hold travel together

HIGHWAY-USER TAX A charge levied on per-sons or organizations based on their use of publicroads Funds collected are usually applied towardhighway construction reconstruction andmaintenance

INCIDENT (Hazmat) Any unintentional releaseof hazardous material while in transit or storage

INCIDENT (Train) Any event involving themovement of a train or railcars on track equip-ment that results in a death a reportable injury orillness but in which railroad property damagedoes not exceed the reporting threshold

INCIDENT (Transit) Collisions derailmentspersonal casualties fires and property damage inexcess of $1000 associated with transit agencyrevenue vehicles all other facilities on the transitproperty and service vehicles maintenance areasand rights-of-way

INJURY (Air) See SERIOUS INJURY (air andgeneral aviation)

INJURY (Gas) Described in DOT Forms 71001or 71002 as an injury requiring ldquoin-patient hos-pitalizationrdquo (admission and confinement in ahospital beyond treatment administered in anemergency room or out-patient clinic in whichconfinement does not occur)

INJURY (Hazardous Liquid Pipeline) An injuryresulting from a hazardous liquid pipeline acci-dent that results in one or more of the following1) Loss of consciousness 2) A need to be carriedfrom the scene 3) A need for medical treatmentandor 4) A disability that prevents the dischargeof normal duties or the pursuit of normal dutiesbeyond the day of the accident

INJURY (Highway) Police-reported highwayinjuries are classified as follows

Incapacitating Injury Any injury other than afatal injury that prevents the injured person fromwalking driving or normally continuing theactivities the person was capable of performingbefore the injury occurred Includes severe lacera-tions broken or distorted limbs skull or chestinjuries abdominal injuries unconsciousness ator when taken from the accident scene andinability to leave the accident scene without assis-tance Exclusions include momentary uncon-sciousness

Nonincapacitating Evident Injury Any injuryother than a fatal injury or an incapacitatinginjury evident to observers at the scene of theaccident Includes lumps on head abrasionsbruises minor lacerations and others Excludeslimping

Possible Injury Any injury reported or claimedthat is not evident Includes momentary uncon-sciousness claim of injuries not obvious limpingcomplaint of pain nausea hysteria and others

INJURY (Highway-Rail Grade Crossing) 1) Aninjury to one or more persons other than railroademployees that requires medical treatment 2) Aninjury to one or more employees that requiresmedical treatment or that results in restriction ofwork or motion for one or more days or one ormore lost work days transfer to another job ter-mination of employment or loss of consciousness3) Any occupational illness affecting one or morerailroad employees that is diagnosed by aphysician

Appendix B Glossary

INJURY (Rail) 1) Injury to any person other thana railroad employee that requires medical treat-ment or 2) Injury to a railroad employee thatrequires medical treatment or results in restrictionof work or motion for one or more workdays oneor more lost workdays termination of employ-ment transfer to another job loss of conscious-ness or any occupational illness of a railroademployee diagnosed by a physician

INJURY (Recreational Boating) Injury requiringmedical treatment beyond first aid as a result ofan occurrence that involves a vessel or its equip-ment

INJURY (Transit) Any physical damage or harmto a person requiring medical treatment or anyphysical damage or harm to a person reported atthe time and place of occurrence For employeesan injury includes incidents resulting in time lostfrom duty or any definition consistent with a tran-sit agencys current employee injury reportingpractice

INJURY (Water) All personal injuries resultingfrom a vessel casualty that require medical treat-ment beyond first aid

INLAND AND COASTAL CHANNELSIncludes the Atlantic Coast Waterways the Atlan-tic Intracoastal Waterway the New York StateBarge Canal System the Gulf Coast Waterwaysthe Gulf Intracoastal Waterway the MississippiRiver System (including the Illinois Waterway)Pacific Coast Waterways the Great Lakes and allother channels (waterways) of the United Statesexclusive of Alaska that are usable for commer-cial navigation

INSTRUCTIONAL FLYING Flying under thesupervision of a flight instructor (excludes profi-ciency flying)

INTERCITY CLASS BUS I As defined by theBureau of Transportation Statistics an interstatemotor carrier of passengers with an averageannual gross revenue of at least $1 million

INTERCITY TRUCK Truck that carries freightbeyond local areas and commercial zones

INTERMEDIATE -SIZE CAR As designated bythe automobile industry a car with a wheelbasebetween 105 and 109 inches

INTERNAL TRAFFIC (Water) Vessel move-ments (origin and destination) that take placesolely on inland waterways located within theboundaries of the contiguous 48 states or withinthe state of Alaska The term ldquointernal trafficrdquoalso applies to carriage on both inland waterwaysand the water of the Great Lakes carriagebetween offshore areas and inland waterwaysand carriage occurring within the Delaware BayChesapeake Bay Puget Sound and the San Fran-cisco Bay which are considered internal bodies ofwater rather than arms of the ocean

INTERSTATE HIGHWAY Limited accessdivided highway of at least four lanes designatedby the Federal Highway Administration as part ofthe Interstate System

INTRAPORT (Water) Movement of freightwithin the confines of a port whether the port hasone or several channels included in the port defi-nition Does not include car-ferries and generalferries moving within a port

INTRATERRITORY TRAFFIC (Water) Trafficbetween ports in Puerto Rico and the US VirginIslands which are considered a single unit

JET FUEL The term includes kerosene-type jetfuel and naphtha-type jet fuel Kerosene-type jetfuel is used primarily for commercial turbojet andturboprop aircraft engines Naphtha-type jet fuelis used primarily for military turbojet and turbo-prop aircraft engines

LAKEWISE OR GREAT LAKES TRAFFICWaterborne traffic between US ports on theGreat Lakes system The Great Lakes system istreated as a separate waterways system ratherthan as a part of the inland system

LARGE CERTIFICATED AIR CARRIERS Anair carrier holding a certificate issued under sec-tion 401 of the Federal Aviation Act of 1958 asamended that 1) Operates aircraft designed tohave a maximum passenger capacity of more than60 seats or a maximum payload capacity of morethan 18000 pounds or 2) Conducts operationswhere one or both terminals of a flight stage areoutside the 50 states of the United States the Dis-trict of Columbia the Commonwealth of PuertoRico and the US Virgin Islands Large certifi-cated air carriers are grouped by annual operatingrevenues 1) Majors (more than $1 billion inannual operating revenues) 2) Nationals(between $100 million and $1 billion in annual

Appendix B Glossary

operating revenues) Large regionals ($20 millionand $99999999 in annual operating revenues)and 4) Medium regionals (less than $20 million inannual operating revenues)

LARGE REGIONALS (Air) Air carrier groupswith annual operating revenues between $20 mil-lion and $99999999

LARGE CAR As designated by the automobileindustry a car with a wheelbase greater than 114inches

LARGE TRUCK Trucks over 10000 poundsgross vehicle weight rating including single-unittrucks and truck tractors

LEASE CONDENSATE A mixture consistingprimarily of pentanes and heavier hydrocarbonswhich are recovered as a liquid from natural gasin lease or field separation facilities This categoryexcludes natural gas liquids such as butane andpropane which are recovered at natural gas pro-cessing plants or facilities

LIGHT-DUTY VEHICLE A vehicle category thatcombines light automobiles and trucks

LIGHT RAIL A streetcar-type vehicle operatedon city streets semiexclusive rights-of-way orexclusive rights-of-way Service may be providedby step-entry vehicles or by level boarding

LIGHT TRUCK Trucks of 10000 pounds grossvehicle weight rating or less including pickupsvans truck-based station wagons and sport util-ity vehicles

LIQUEFIED NATURAL GAS (LNG) Naturalgas primarily methane that has been liquefied byreducing its temperature to -260 degF at atmo-spheric pressure

LIQUEFIED PETROLEUM GAS (LPG) Pro-pane propylene normal butane butylene isobu-tane and isobutylene produced at refineries ornatural gas processing plants including plantsthat fractionate new natural gas plant liquids

LOCOMOTIVE Railroad vehicle equipped withflanged wheels for use on railroad tracks pow-ered directly by electricity steam or fossil fueland used to move other railroad rollingequipment

LOCOMOTIVE-MILE The movement of a loco-motive unit under its own power the distance of1 mile

MAINS (Gas) A network of pipelines that servesas a common source of supply for more than onegas service line

MAJORS (Air) Air carrier groups with annualoperating revenues exceeding $1 billion

MEDIUM REGIONALS (Air) Air carrier groupswith annual operating revenues less than $20million

MERCHANDISE TRADE EXPORTS Merchan-dise transported out of the United States to for-eign countries whether such merchandise isexported from within the US Customs territoryfrom a US Customs bonded warehouse or froma US Foreign Trade Zone (Foreign Trade Zonesare areas operated as public utilities under thecontrol of US Customs with facilities for han-dling storing manipulating manufacturing andexhibiting goods)

MERCHANDISE TRADE IMPORTS Com-modities of foreign origin as well as goods ofdomestic origin returned to the United States withno change in condition or after having been pro-cessed andor assembled in other countries PuertoRico is a Customs district within the US Cus-toms territory and its trade with foreign countriesis included in US import statistics US importstatistics also include merchandise trade betweenthe U S Virgin Islands and foreign countries eventhough the Islands are not officially a part of theUS Customs territory

METHANOL A light volatile alcohol producedcommercially by the catalyzed reaction of hydro-gen and carbon monoxide Methanol is blendedwith gasoline to improve its operational effi-ciency

METHYL TERTIARY BUTYL ETHER(MTBE) A colorless flammable liquid oxygen-ated hydrocarbon that contains 1815 percentoxygen It is a fuel oxygenate produced by react-ing methanol with isobutylene

MID-SIZE CAR See Intermediate-Size Car

MINI-COMPACT CAR An automobile industrydesignation usually consisting of cars with awheelbase of less than 95 inches

MINOR ARTERIALS (Highway) Streets andhighways linking cities and larger towns in ruralareas in distributing trips to small geographicareas in urban areas (not penetrating identifiableneighborhoods)

Appendix B Glossary

MOTOR BUS (Transit) A rubber-tired self-pro-pelled manually steered bus with fuel supplyonboard the vehicle Motor bus types includeintercity school and transit

MOTORCYCLE A two- or three-wheeled motorvehicle designed to transport one or two peopleincluding motor scooters minibikes and mopeds

NATIONALS (Air) Air carrier groups withannual operating revenues between $100 millionand $1 billion

NATURAL GAS A naturally occurring mixtureof hydrocarbon and nonhydrocarbon gases foundin porous geologic formations beneath the Earthssurface often in association with petroleum Theprincipal constituent is methane

NATURAL GAS PLANT LIQUIDS Liquidsrecovered from natural gas in processing plants orfield facilities or extracted by fractionators Theyinclude ethane propane normal butane isobu-tane pentanes plus and other products such asfinished motor gasoline finished aviation gaso-line special naphthas kerosene and distillate fueloil produced at natural gas processing plants

NEAR MIDAIR COLLISION (Air) An incidentin which the possibility of a collision occurred asa result of aircraft flying with less than 500 feet ofseparation or a report received from a pilot orflight crew member stating that a collision hazardexisted between two or more aircraft

NONOCCUPANT (Automobile) Any personwho is not an occupant of a motor vehicle intransport (eg bystanders pedestrians pedalcy-clists or an occupant of a parked motor vehicle)

NONRESPONSE ERROR Error that resultsfrom some members of the sample or census notproviding information Nonresponse bias resultsfrom a systematic difference between those whodo and those who do not respond to the measure-ment instrument

NONSAMPLING ERROR All sources of bias orinaccuracy in a study other than sampling errorExamples of nonsampling errors include process-ing recording or dataentry errors nonresponseerror and response error

NONSCHEDULED SERVICE (Air) Revenueflights not operated as regular scheduled servicesuch as charter flights and all nonrevenue flightsincident to such flight

NONSELF-PROPELLED VESSEL (Water) A ves-sel without the means for self- propulsionIncludes dry cargo and tanker barges

NONTRAIN INCIDENT An event that resultsin a reportable casualty but does not involve themovement of ontrack equipment and does notcause reportable damage above the thresholdestablished for train accidents

NONTRESPASSERS (Rail) A person lawfully onany part of railroad property used in railroadoperations or a person adjacent to railroad pre-mises when injured as the result of railroad opera-tions

NONVESSEL-CASUALTY-RELATED DEATHA death that occurs onboard a commercial vesselbut not as a result of a vessel casualty such as acollision fire or explosion

OCCUPANT Any person in or on a motor vehi-cle in transport Includes the driver passengersand persons riding on the exterior of a motorvehicle (eg a skateboard rider holding onto amoving vehicle) Excludes occupants of parkedcars unless they are double parked or motionlesson the roadway

OCCUPATIONAL FATALITY Death resultingfrom a job-related injury

OPERATING EXPENSES (Air) Expensesincurred in the performance of air transportationbased on overall operating revenues and expensesDoes not include nonoperating income andexpenses nonrecurring items or income taxes

OPERATING EXPENSES (Rail) Expenses of fur-nishing transportation services including mainte-nance and depreciation of the plant used in theservice

OPERATING EXPENSES (Transit) The total ofall expenses associated with operation of an indi-vidual mode by a given operator Includes distri-butions of ldquojoint expensesrdquo to individual modesand excludes ldquoreconciling itemsrdquo such as interestexpenses and depreciation Should not be con-fused with ldquovehicle operating expensesrdquo

OPERATING EXPENSES (Truck) Includesexpenditures for equipment maintenance supervi-sion wages fuel equipment rental terminal oper-ations insurance safety and administrative andgeneral functions

Appendix B Glossary

OPERATING REVENUES (Air) Revenues fromthe performance of air transportation and relatedincidental services Includes l) Transportation rev-enues from the carriage of all classes of traffic inscheduled and nonscheduled services and 2) Non-transportation revenues consisting of federal sub-sidies (where applicable) and services related toair transportation

OTHER FREEWAYS AND EXPRESSWAYS(Highway) All urban principal arterials with lim-ited access but not part of the Interstate system

OTHER PRINCIPAL ARTERIAL (Highway)Major streets or highways many of multilane orfreeway design serving high-volume traffic corri-dor movements that connect major generators oftravel

OTHER RAIL REVENUE This includes reve-nues from miscellaneous operations (ie dining-and bar-car services) income from lease of roadand equipment miscellaneous rental incomeincome from nonoperating property profit fromseparately operated properties dividend incomeinterest income income from sinking and otherreserve funds release or premium on funded debtcontributions from other companies and othermiscellaneous income

OTHER REVENUE VEHICLES (Transit) Otherrevenue-generating modes of transit service suchas cable cars personal rapid transit systemsmonorail vehicles inclined railway cars etc notcovered otherwise

OTHER 2-AXLE 4-TIRE VEHICLES (Truck)Includes vans pickup trucks and sport utilityvehicles

OTHER WORK (General Aviation) Con-struc-tion work (not Federal Aviation Regulations Part135) helicopter hoist parachuting aerial adver-tising and towing gliders

OXYGENATES Any substance that when addedto motor gasoline increases the amount of oxygenin that gasoline blend Includes oxygen-bearingcompounds such as ethanol methanol andmethyl tertiary butyl ether Oxygenated fuel tendsto give a more complete combustion of carboninto carbon dioxide (rather than monoxide)thereby reducing air pollution from exhaustemissions

PASSENGER CAR A motor vehicle designed pri-marily for carrying passengers on ordinary roadsincludes convertibles sedans and stations wag-ons

PASSENGER-MILE 1) Air One passenger trans-ported 1 mile passenger-miles for one interairportflight are calculated by multiplying aircraft milesflow by the number of passengers carried on theflight The total passenger-miles for all flights isthe sum of passenger-miles for all interairportflights 2) Auto One passenger traveling 1 mileeg one car transporting two passengers 4 milesresults in eight passenger-miles 3) Transit Thetotal number of miles traveled by transit passen-gers eg one bus transporting five passengers 3miles results in 15 passenger-miles

PASSENGER REVENUE 1) Rail Revenue fromthe sale of tickets 2) Air Revenues from thetransport of passengers by air 3) Transit Farestransfer zone and park-and-ride parking chargespaid by transit passengers Prior to 1984 fare rev-enues collected by contractors operating transitservices are not included

PASSENGER VESSELS A vessel designed for thecommercial transport of passengers

PEDALCYCLIST A person on a vehicle that ispowered solely by pedals

PEDESTRIAN Any person not in or on a motorvehicle or other vehicle Excludes people in build-ings or sitting at a sidewalk cafe The NationalHighway Traffic Safety Administration also usesan ldquoother pedestrianrdquo category to refer to pedes-trians using conveyances and people in buildingsExamples of pedestrian conveyances includeskateboards nonmotorized wheelchairs roller-skates sleds and transport devices used asequipment

PERSON-MILES (American Travel Survey) Anestimate of the aggregate distances traveled by allpersons on a given trip based on the estimatedtransportation-network-miles traveled on thattrip

PERSON TRIP (American Travel Survey) A triptaken by an individual For example if three per-sons from the same household travel together thetrip is counted as one household trip and threeperson trips

Appendix B Glossary

PERSONAL BUSINESS TRIP (American TravelSurvey) A trip taken for a school-related activityor for personal or family business including wed-dings and funerals

PERSONAL-USE VEHICLE TRIP (AmericanTravel Survey) A trip in which the principlemeans of transportation is a car pickup truck orvan other truck rental car truck or van recre-ational vehicle or motor home or motorcycle ormoped

PLEASURE TRIP (American Travel Survey) Atrip taken to visit friends or relatives or forleisure

PERSONAL CASUALTY (Transit) 1) An inci-dent in which a person is hurt while getting on oroff a transit vehicle (eg falls or door incidents)but not as a result of a collision derailmentleftroadway or fire 2) An incident in which a personis hurt while using a lift to get on or off a transitvehicle but not as a result of a collision derail-mentleft roadway or fire 3) An incident in whicha person is injured on a transit vehicle but not asa result of a collision derailmentleft roadway orfire 4) An incident in which a person is hurt whileusing a transit facility This includes anyone ontransit property (eg patrons transit employeestrespassers) but does not include incidents result-ing from illness or criminal activity

PERSONAL WATERCRAFT Craft less than 13feet in length designed to be operated by a personor persons sitting standing or kneeling on thecraft rather than within the confines of a hull

PETROLEUM (Oil) A generic term applied to oiland oil products in all forms such as crude oillease condensate unfinished oils petroleum prod-ucts natural gas plant liquids and nonhydrocar-bon compounds blended into finished petroleumproducts

PROPERTY DAMAGE (Transit) The dollaramount required to repair or replace transit prop-erty (including stations right of way bus stopsand maintenance facilities) damaged during anincident

PUBLIC ROAD Any road under the jurisdictionof and maintained by a public authority (federalstate county town or township local govern-ment or instrumentality thereof) and open topublic travel

RAIL MOTOR CARS Self-propelled passengerrail cars that are driven by electric motors ener-gized from an electrified roadway or by a genera-tor driven by a diesel or gas turbine engine

RAPID RAIL TRANSIT Transit service using railcars driven by electricity usually drawn from athird rail configured for passenger traffic andusually operated on exclusive rights-of-way Itgenerally uses longer trains and has longer stationspacing than light rail

REFORMULATED GASOLINE Gasoline whosecomposition has been changed to meet perfor-mance specifications regarding ozone-formingtendencies and release of toxic substances into theair from both evaporation and tailpipe emissionsReformulated gasoline includes oxygenates andcompared with gasoline sold in 1990 has a lowercontent of olefins aromatics volatile compo-nents and heavy hydrocarbons

RESIDUAL FUEL OIL The heavier oils thatremain after the distillate fuel oils and lighterhydrocarbons are distilled away in refinery opera-tions and that conform to American Society forTesting and Materials (ASTM) SpecificationsD396 and 976 Includes among others NavySpecial oil used in steam-powered vessels in gov-ernment service and No 6 oil used to powerships Imports of residual fuel oil includeimported crude oil burned as fuel

RESPONSE ERROR Error that results from thetendency of people to answer a question falselydeliberate misrepresentation unconscious falsifi-cation or misunderstanding of what is required

REVENUE Remuneration received by carriersfor transportation activities

REVENUE PASSENGER 1) Air Person receivingair transportation from an air carrier for whichremuneration is received by the carrier Air carrieremployees or others except ministers of religionelderly individuals and handicapped individualsreceiving reduced rate charges (less than the appli-cable tariff) are considered nonrevenue passen-gers Infants for whom a token fare is chargedare not counted as passengers 2) Transit Single-vehicle transit rides by initial-board (first-ride)transit passengers only Excludes all transfer ridesand all nonrevenue rides 3) Rail Number of one-way trips made by persons holding tickets

Appendix B Glossary

REVENUE PASSENGER ENPLANEMENTS(Air) The total number of passengers boardingaircraft Includes both originating and connectingpassengers

REVENUE PASSENGER LOAD FACTOR (Air)Revenue passenger-miles as a percent of availableseat-miles in revenue passenger services The termis used to represent the proportion of aircraft seat-ing capacity that is actually sold and utilized

REVENUE PASSENGER-MILE One revenuepassenger transported 1 mile

REVENUE PASSENGER TON-MILE (Air) Oneton of revenue passenger weight (including allbaggage) transported 1 mile The passengerweight standard for both domestic and interna-tional operations is 200 pounds

REVENUE TON-MILE One short ton of freighttransported 1 mile

REVENUE VEHICLE-MILES (Transit) Onevehicle (bus trolley bus streetcar) traveling 1 milewhile revenue passengers are on board generatesone revenue vehicle-mile Revenue vehicle-milesreported represent the total mileage traveled byvehicles in scheduled or unscheduled revenue-pro-ducing services

ROAD OIL Any heavy petroleum oil includingresidual asphaltic oil that is used as a dust pallia-tive and surface treatment on roads and high-ways It is generally produced in 6 grades from 0the most liquid to 5 the most viscous

ROLL ONROLL OFF VESSEL Ships that aredesigned to carry wheeled containers or otherwheeled cargo and use the roll onroll off methodfor loading and unloading

ROUND-TRIP DISTANCE (American TravelSurvey) The estimated transportation network-miles traveled at the time of the trip from thehousehold residence to the destination and back

RURAL HIGHWAY Any highway road or streetthat is not an urban highway

RURAL MILEAGE (Highway) Roads outsidecity municipal district or urban boundaries

SAMPLING ERROR The estimated inaccuracyof the results of a study when a population sam-ple rather than a census is used to explain thebehavior of the total population (Also referred toas margin of error and standard error)

SCHEDULED SERVICE (Air) Transport serviceoperated pursuant to published flight schedules

SCHOOL BUS A passenger motor vehicle that isdesigned or used to carry more than 10 passen-gers in addition to the driver and as determinedby the Secretary of Transportation is likely to besignificantly used for the purpose of transportingpre-primary primary or secondary school stu-dents between home and school

SCHOOL-BUS-RELATED CRASH Any crash inwhich a vehicle regardless of body design used asa school bus is directly or indirectly involved suchas a crash involving school children alightingfrom a vehicle

SCOW (Water) Any flat-bottomed nonself-pro-pelled rectangular vessel with sloping ends Largescows are used to transport sand gravel orrefuse

SELF-PROPELLED VESSEL A vessel that has itsown means of propulsion Includes tankers con-tainerships dry bulk cargo ships and generalcargo vessels

SERIOUS INJURY (Air CarrierGeneral Avia-tion) An injury that requires hospitalization formore than 48 hours commencing within 7 daysfrom the date when the injury was receivedresults in a bone fracture (except simple fracturesof fingers toes or nose) involves lacerations thatcause severe hemorrhages nerve muscle or ten-don damage involves injury to any internalorgan or involves second- or third-degree burnsor any burns affecting more than 5 percent of thebody surface

SMALL CERTIFICATED AIR CARRIER An aircarrier holding a certificate issued under section401 of the Federal Aviation Act of 1958 asamended that operates aircraft designed to have amaximum seating capacity of 60 seats or fewer ora maximum payload of 18000 pounds or less

STATE AND LOCAL HIGHWAY EXPENDI-TURES Disbursements for capital outlay mainte-nance and traffic surfaces administration andresearch highway law enforcement and safetyand interest on debt

STREETCARS Relatively lightweight passengerrail cars operating singly or in short trains orfixed rails in right-of-way that are not always sep-arated from other traffic for much of the wayStreetcars do not necessarily have the right-of-wayat grade crossings with other traffic

Appendix B Glossary

SUBCOMPACT CAR As designated by the auto-mobile industry a car with a wheelbase between95 and 99 inches

SUPPLEMENTAL AIR CARRIER An air carrierauthorized to perform passenger and cargo char-ter services

TANKER An oceangoing ship designed to haulliquid bulk cargo in world trade

TON-MILE (Truck) The movement of 1 ton ofcargo the distance of 1 mile Ton-miles are calcu-lated by multiplying the weight in tons of eachshipment transported by the miles hauled

TON-MILE (Water) The movement of 1 ton ofcargo the distance of 1 statute mile Domestic ton-miles are calculated by multiplying tons moved bythe number of statute miles moved on the water(eg 50 short tons moving 200 miles on a water-way would yield 10000 ton-miles for that water-way) Ton-miles are not computed for ports Forcoastwise traffic the shortest route that safe navi-gation permits between the port of origin and des-tination is used to calculate ton-miles

TRAFFICWAY (Highway) Any right-of-wayopen to the public as a matter of right or customfor moving persons or property from one place toanother including the entire width between prop-erty lines or other boundaries

TRAIN LINE MILEAGE The aggregate length ofall line-haul railroads It does not include themileage of yard tracks or sidings nor does itreflect the fact that a mile of railroad may includetwo or more parallel tracks Jointly-used track iscounted only once

TRAIN-MILE A train-mile is the movement of atrain which can consist of many cars the distanceof 1 mile A train-mile differs from a vehicle-milewhich is the movement of one car (vehicle) thedistance of 1 mile A 10-car (vehicle) train travel-ing 1 mile is measured as 1 train-mile and 10 vehi-cle-miles Caution should be used whencomparing train-miles to vehicle-miles

TRANSIT VEHICLE Includes light heavy andcommuter rail motor bus trolley bus van poolsautomated guideway and demand-responsivevehicles

TRANSSHIPMENTS Shipments that enter orexit the United States by way of a US Customsport on the northern or southern border butwhose origin or destination was a country otherthan Canada or Mexico

TRAVEL PARTY (American Travel Survey)Household and nonhousehold members travelingtogether on a trip

TRESPASSER (Rail) Any person whose presenceon railroad property used in railroad operations isprohibited forbidden or unlawful

TRIP (American Travel Survey) Roundtrip travelto a destination at least 100 miles from home Thefollowing types of trips are excluded 1) travel aspart of an operating crew on a train airplanetruck bus or ship 2) regular commuting to workor school 3) one-way trips to move to a new des-tination and 4) trips by members of the ArmedForces while on active duty

TROLLEY BUS Rubber-tired electric transitvehicle manually steered and propelled by amotor drawing current normally through over-head wires from a central power source

TRUST FUNDS Accounts that are specificallydesignated by law to carry out specific purposesand programs Trust Funds are usually financedwith earmarked tax collections

TUG BOAT A powered vessel designed for thetowing or pushing of ships dumb barges pushed-towed barges and rafts but not for the carriageof goods

US FLAG CARRIER OR AMERICAN FLAGCARRIER (Air) One of a class of air carriersholding a Certificate of Public Convenience andNecessity issued by the US Department of Trans-portation and approved by the President autho-rizing scheduled operations over specified routesbetween the United States (andor its territories)and one or more foreign countries

UNLEADED GASOLINE See Gasoline

UNLINKED PASSENGER TRIPS (Transit) Thenumber of passengers who board public transpor-tation vehicles A passenger is counted each timeheshe boards a vehicle even if on the same jour-ney from origin to destination

URBAN HIGHWAY Any road or street withinthe boundaries of an urban area An urban area isan area including and adjacent to a municipalityor urban place with a population of 5000 or

Appendix B Glossary

more The boundaries of urban areas are fixed bystate highway departments subject to theapproval of the Federal Highway Administrationfor purposes of the Federal-Aid highway program

VANPOOL (Transit) Public-sponsored commuterservice operating under prearranged schedules forpreviously formed groups of riders in 8- to 18-seatvehicles Drivers are also commuters who receivelittle or no compensation besides the free ride

VEHICLE MAINTENANCE (Transit) All acti-vities associated with revenue and nonrevenue(service) vehicle maintenance including adminis-tration inspection and maintenance and servic-ing (cleaning fueling etc) vehicles In addition itincludes repairs due to vandalism or to revenuevehicle accidents

VEHICLE-MILES (Highway) Miles of travel byall types of motor vehicles as determined by thestates on the basis of actual traffic counts andestablished estimating procedures

VEHICLE-MILES (Transit) The total number ofmiles traveled by transit vehicles Commuter railheavy rail and light rail report individual car-miles rather than train-miles for vehicle-miles

VEHICLE OPERATIONS (Transit) All activitiesassociated with transportation administrationincluding the control of revenue vehicle move-ments scheduling ticketing and fare collectionsystem security and revenue vehicle operation

VESSEL CASUALTY (Water) An occurrenceinvolving commercial vessels that results in 1)Actual physical damage to property in excess of$25000 2) Material damage affecting the sea-worthiness or efficiency of a vessel 3) Strandingor grounding 4) Loss of life or 5) Injury causingany person to remain incapacitated for a period inexcess of 72 hours except injury to harbor work-ers not resulting in death and not resulting fromvessel casualty or vessel equipment casualty

VESSEL-CASUALTY-RELATED DEATH Fatal-ity that occurs as a result of an incident thatinvolves a vessel or its equipment such as a colli-sion fire or explosion Includes drowning deaths

WATERBORNE TRANSPORTATION Trans-port of freight andor people by commercial ves-sels under US Coast Guard jurisdiction

WAYBILL A document that lists goods and ship-ping instructions relative to a shipment

WEEKEND TRIP (American Travel Survey)Travel by persons who stay one or two nightsaway including a Friday andor Saturday nightTravel over three to five nights including a Fridayandor Saturday night stay is defined as a long-weekend trip

appendix c

Acronyms and Initialisms

AAA American Automobile AssociationAADT Annual Average Daily TrafficAAMA American Automobile Manufacturers

AssociationAAR Association of American RailroadsAAS Air Activity Statistics of Certificated

Air CarriersAGA American Gas AssociationAI Alcohol InvolvementAIA Aerospace Industries AssociationALVW Adjusted Loaded Vehicle WeightAMIO Alien Migrant Interdiction OperationsAOPL Association of Oil PipelinesAPTA American Public Transit AssociationATS American Travel SurveyATV All-Terrain Vehicle

BAC Blood Alcohol ConcentrationBEA Bureau of Economic AnalysisBMA Bicycle Manufacturers AssociationBTS Bureau of Transportation StatisticsBtu British Thermal Unit

CFR US Code of Federal RegulationCFS Commodity Flow SurveyCNG Compressed Natural GasCO Carbon MonoxideCVS Certification Vehicle Standard

dB DecibelsDNL Day Night Sound Leveldwt Deadweight Tons

EPA US Environmental Protection AgencyEIA Energy Information Administration

FAA Federal Aviation AdministrationFARS Fatality Analysis Reporting System

Database

FERC Federal Energy RegulatoryCommission

FHWA Federal Highway AdministrationFRA Federal Railway AdministrationFTA Federal Transit AdministrationFTP Federal Test ProcedureFTZ Foreign Trade Zone

GAATA General Aviation and Air TaxiActivity

GAMA General Aviation ManufacturersAssociation

GES General Estimates SystemGIS Geographic Information Systemgmi Grams Per MileGVWR Gross Vehicle Weight Rating

HC HydrocarbonHPMS Highway Performance Monitoring

System

ICC Interstate Commerce CommissionINM Integrated Noise ModelIO Investigative OfficerIRI International Roughness Index

LDT Light-Duty TruckLMIS Lloyds Maritime Information SystemLPG Liquefied Petroleum GasLR Lloyds RegisterLVW Loaded Vehicle Weight

MARAD Maritime AdministrationMCMIS Motor Carrier Management

Information SystemMDPV Medium-Duty Passenger VehiclesMIC Motorcycle Industry Council Incmmbd Million Barrels Per DayMOBILE Mobile Source Emissions Factor

Model

Appendix C Acronyms and Initialisms

mpg Miles Per GallonMSIS Marine Safety Information SystemMTBE Methyl Tributyl EtherMVMA Motor Vehicle Manufacturers

Association

NANIM Nationwide Airport Noise ImpactModel

NBDA National Bicycle Dealers AssociationNDC Navigation Data CenterNHS National Highway SystemNHTSA National Highway Traffic Safety

AdministrationNMAC Near Mid-Air CollisionNOx Nitrogen OxidesNOPS National Operations CenterNOPUS National Occupant Protection Use

SurveyNPIAS National Plan of Integrated Airport

SystemsNPTS Nationwide Personal Transportation

SurveyNTD National Transit DatabaseNTS National Transportation StatisticsNTSB National Transportation Safety Board

OAG Official Airline GuideOAI Office of Airline InformationOIG Office of the Inspector GeneralOPS Office of Pipeline SafetyORNL Oak Ridge National LaboratoryOST Office of the Secretary of

Transportation

PAR Police Accident ReportPIRS Pollution Incident Reporting System

PMT Passenger Miles of TravelPSI Pollutant Standard IndexPSR Present Serviceability Rating

RFG Reformulated GasolineRORO Roll-OnRoll-OffRSPA Research and Special Programs

AdministrationRTECS Residential Transportation Energy

Consumption SurveyRVP Reid Vapor Pressure

SAMIS Safety Management InformationStatistics

SEC Securities and Exchange CommissionSHA State Highway AgenciesSO2 Sodium DioxideSTB Surface Transportation Board

TAF Terminal Area ForecastTIUS Truck Inventory and Use SurveyTMG Traffic Monitoring GuideTRFD Transportation-Related Final

DemandTSFD Transborder Surface Freight DataTTI Texas Transportation Institute

USACE US Army Corps of EngineersUSCG US Coast GuardUSDOC US Department of CommerceUSDOD US Department of DefenseUSDOT US Department of TransportationUSSR Union of Soviet Social Republic

appendix d

Modal Profiles

Financial 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues (thousand dollars) 1

Domestic total a 2178339 7180161 26440297 58201660 66672151 71424865 77396919 82599270 86856624 91351103 98899810 86573051 79336448 88870097 100902509 110269243 120279816Majors all services 1942635 6272775 23012073 56138825 59846676 63226187 69515318 74942391 77650810 80800698 89293771 78599844 71730250 77196343 85605321 95955258 110175124Nationals all services 146481 736831 3182418 1251559 4888701 6329602 6109778 5940674 7225393 9230210 9016171 7494385 6961517 10580912 14064227 13171292 9200672Large regionals all services N N 245806 703526 1031404 1148504 1230628 1366503 1617586 902160 589869 478822 644680 1092842 1232961 1142693 904019

International total 705938 2109497 6442144 17824538 22364429 23432883 25046819 27318034 26611331 27958958 31348410 28706979 27837150 28897918 33719280 39535274 44388011Majors all services 705938 2109497 5976221 17083295 19222842 19820215 20960305 23608853 23356233 24447607 28097698 25883361 24528512 24964860 29735873 34226000 38988147Nationals all services N N 465923 380294 2568643 2819653 3751539 3338903 2668243 3026884 2801690 2503678 2959809 3408860 3399904 4803265 5160564Large regionals all services N N N 357761 572944 793015 334975 370278 586855 484468 449022 319940 348828 524198 583502 506009 239299

Total large-certificated a 2884877 9289658 32882441 76026198 89036580 94857748 102443738 109917304 113467954 119310062 130248220 115280030 107173597 117768015 134621789 149804516 164667827Operating expenses (thousand dollars) 1

Domestic total a 2052094 7001668 26465999 59183777 64456644 66667151 72145242 76125467 78796175 84816236 93548937 94949876 86826833 91520149 104621676 112363170 116140022Majors all services 1907785 6256039 23150527 57138322 57824115 58694406 64143384 68307270 70114852 74834600 84206809 86611140 79196985 80810165 89877864 98352872 106259194Nationals all services 144309 745629 3058289 1258274 4666546 6178809 6058307 5921639 6672705 8638079 8726001 7814067 6958543 9677656 13501703 12849910 8985641Large regionals all services N N 257183 676688 1077578 1055905 1328760 1502305 1600958 858956 616126 524670 671305 1032329 1242109 1160389 895187

International total 665660 2065605 6642095 18757740 21842021 22335258 24155202 25249593 25387024 26157262 29685280 30649400 28922103 28340403 31490257 37059043 41001911Majors all services 665660 2065605 6171366 18086050 18875302 18997478 20406144 21688642 22321441 22993261 26647046 27664641 25687398 24606982 27783564 32207742 35951166Nationals all services N N 470729 325273 2372138 2582833 3414618 3209074 2514464 2714754 2556866 2663591 2914105 3253707 3157046 4349805 4818660Large regionals all services N N N 344097 594581 754947 334440 351877 551119 449247 481367 321169 320601 479714 549646 501496 232085

Total large-certificated a 2717754 9067273 33108094 77941517 86298665 89002409 96300444 101375060 104183200 110973499 123234216 125599276 115748936 119860552 136111932 149422213 157141933Inventory for large-certificated carriersb

Number of carriers c2

Total domestic and international 55 39 (R) 52 (R) 58 (R) 66 (R) 84 (R) 88 (R) 72 (R) 74 (R) 75 (R) 66 (R) 61 (R) 62 65 69 67 66Majors N N 14 12 11 11 12 13 13 13 14 (R) 14 13 14 14 17 20Nationals N N (R) 16 15 (R) 22 27 31 (R) 28 27 (R) 28 (R) 29 (R) 26 (R) 25 26 28 28 25Regionals N N (R) 22 (R) 31 (R) 33 (R) 46 (R) 45 (R) 31 (R) 34 (R) 34 (R) 23 (R) 21 (R) 24 25 27 22 21

Number of aircraft available for service 3

Total domestic and international 2135 2690 2818 4727 5221 5567 5961 5770 6144 6254 6522 6081 5819 6675 7051 6750 6758Majors N N 2071 3854 4085 4039 4422 4352 4605 4711 5118 4996 4530 4948 4904 5018 5626Nationals N N 432 650 819 1143 1167 967 1113 1319 1182 952 1079 1299 1858 1478 940Regionals N N 315 223 317 385 372 451 426 224 222 133 210 428 289 254 192

Number of full-time equivalent employees c2

Total domestic and international 169872 304690 347335 555262 535394 555537 575937 593542 631147 659689 667778 599531 590779 558246 563588 547795 539833Majors 118189 214021 312842 517754 481041 484870 511270 540039 564388 590197 612814 557422 537776 489036 478114 478142 490631Nationals 12470 24913 29269 30225 42785 54447 51921 43630 54205 60756 51384 38446 48685 64348 78090 63246 41908Regionals N N 5225 7283 11569 16221 12747 9873 12555 8737 3580 3664 4318 4863 7385 6407 7295

continued

Air Carrier Profile

Performance 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Aircraft revenue-miles (thousands) 4

DomesticCertificated all services ad 858451 2067598 2523375 3963268 4379929 4629393 4811447 4939436 5033144 5332176 5662443 5549662 5602737 6086649 6591637 6714903 6624022Majors all services 716961 1778065 2113669 3767330 3760067 3854368 4062122 4218049 4260051 4445133 4784664 4680578 4432285 4267107 4632828 4923387 5388726Nationals all services 94794 247055 330528 120599 447024 592345 591638 572654 613823 801719 805439 810665 915170 1259491 1498161 1434676 901647Large regionals all services N N 56995 70881 100478 100004 110976 133571 134852 58329 52390 37399 37516 76478 101418 121016 148692

InternationalCertificated all services ad 181605 474666 400971 760334 979769 997656 1043312 1114063 1186222 1225217 1281702 1263543 1221086 1261917 1403378 1535929 1594357Majors all services N N 330391 694479 809243 815701 853424 917108 1003727 1043730 1117709 1119126 1050808 1028158 1148209 1250037 1325504Nationals all services N N 66499 24301 108392 125951 145847 142658 127037 134370 127550 124765 141670 185397 197334 231735 216064Large regionals all services N N 2948 33893 46040 48867 32005 39516 51100 41440 30848 15409 25896 41241 49211 40654 36701Other certificated all services domestic and international d N N 23204 12120 88454 89811 58747 29942 28775 32674 25545 25264 220478 490693 367854 249326 201045

Total certificated d 1040056 2542264 2924346 4723602 5359697 5627048 5854760 6053499 6219366 6557393 6944145 6813205 6823823 7348566 7995015 8250831 8218378Aircraft revenue-hours 4

DomesticCertificated all services ad 3672900 5133161 6247795 9717375 10721577 11378503 11871886 12133348 12443855 13090460 13901641 13510998 13676524 15294961 16405347 16694269 16415836Majors all services 2802317 4066480 4941327 9053789 8864840 9023772 9512983 9898147 9957390 10349992 11308820 11028054 10328412 9862773 10758395 11519750 12709883Nationals all services 606146 908935 919187 458621 1362863 1832909 1934433 1828382 2002173 2515044 2403184 2305781 2407006 3383803 3917027 3761623 2373121Large regionals all services N N 267522 192944 273642 269811 298415 366439 422770 156201 137993 104522 99411 187758 252384 318276 381713

InternationalCertificated all services ad 608736 977325 819518 1556760 1978378 2021060 2113467 2235792 2381246 2456580 2595893 2565169 2487258 2593915 2881257 3155013 3281909Majors all services N N 668199 1410263 1607155 1619755 1699958 1819583 1992776 2071507 2229167 2240214 2105500 2067148 2317972 2541139 2692590Nationals all services N N 140329 50293 227077 262285 319919 303335 275180 281706 288953 282776 319353 417332 431858 492092 466897Large regionals all services N N 7583 75786 108717 122659 68418 82063 103813 88224 66058 33173 57086 91932 109372 87461 80143Other certificated all services domestic and international d N N 123411 32439 255661 268372 151227 71191 70999 84366 63359 81647 847014 1878130 1499596 1128941 993398

Total certificated d 4281636 6110486 7190724 11274135 12699955 13399563 13985353 14369140 14825101 15547040 16497534 16076167 16163782 17888876 19286604 19849282 19697745Revenue passenger-miles (thousands) 4

DomesticCertificated all services ad 31098944 108441978 204367599 345872950 388410210 403911656 434651687 452827860 462753505 488356869 515621596 486506043 481195481 505221674 557890670 583757943 590634648Majors all services 29430428 99903229 182984795 340628946 352063855 360719108 395099254 413060869 421217665 440442129 472284794 440413336 426401276 424165007 462025653 498200614 527266645Nationals all services 1170779 7642071 20466712 2655442 27508958 33696612 30396752 31989076 34070192 43371272 39560329 43541665 48687149 67906918 84458947 78505474 55504378Large regionals all services N N 711868 2285750 5915731 5646715 6366240 6860718 6000206 3205826 2731996 1747222 1748996 3595739 5915613 4850116 5754152

continued

Air Carrier Profile continued

Performance (continued) 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006International

Certificated all services ad 8950672 39695392 63354387 126362697 149107689 154882007 161512010 169356100 172179498 180269038 192797653 178343116 171998786 168601124 194173889 211359416 219471625Majors all services N N 54318160 121910801 133299897 137389923 145330811 153564956 157398986 166320739 181585899 169335392 163576484 156267732 179788447 195635675 206669607Nationals all services N N 8659592 3152239 12939400 15509364 14681127 13616245 12232424 11504031 7793324 7710903 6803586 8995296 11101736 14120367 12074172Large regionals all services N N 330288 988679 2484738 1685684 505337 760809 2261005 2034607 3218488 1185896 1540681 3211186 3200033 1528876 394327Other certificated all services domestic and international d N N 250571 613790 3305320 4146257 3784176 2331287 1752525 1747303 1244419 914745 4436095 9680920 5574130 2276237 2442992

Total certificated d 40049616 148137370 267972557 472235647 537517899 558793663 596163697 622183960 634933003 668625907 708419249 664849159 653194267 673822798 752064559 795117359 810106273Average passenger revenue passenger-mile 5

(Domestic scheduled service) 609 600 1149 1344 1325 1290 1381 1319 1355 1382 1392 1411 1397 (R) 1457 1326 1210 1251Average passenger fare 5

(Domestic scheduled service) 3001 4065 8460 10796 10682 10399 11037 10377 10714 11081 11331 11458 11510 (R) 12133 11168 10393 10843Revenue passenger enplanements (thousands) 4

DomesticCertificated all services ad 56352 153662 275182 428769 489357 506775 538397 553160 566377 589168 616397 574882 564552 596871 645674 674061 675212Majors all services 48678 122866 223237 411797 428329 432076 466743 482656 486902 502305 537377 496455 468938 453112 487525 523288 567108Nationals all services 5949 26726 47145 13374 46461 57670 58383 59690 67237 80995 75156 75600 81722 112715 132037 131142 87167Large regionals all services N N 3748 3190 8854 10127 9122 9665 10276 4234 2444 1383 1338 3542 6623 7930 9383

InternationalCertificated all services ad 5904 16620 26514 46121 51330 52863 54519 56759 57758 57694 60830 56641 56904 58837 67479 73090 75449Majors all services N N 23949 43871 42701 43590 46304 48615 49608 49769 53157 50097 50637 50202 57929 63203 67009Nationals all services N N 2343 964 6183 7235 7402 6887 6228 6274 5273 5664 5471 6868 6931 8309 7676Large regionals all services N N 149 825 2168 1790 405 631 1751 1322 2151 779 718 1600 2379 1290 364Other certificated all services domestic and international d N N 1125 871 5992 7150 4558 1776 2133 1964 1668 1546 12631 27669 19729 11989 11953

Total certificated d 62256 169922 302821 474891 540688 559638 592916 609919 624135 646863 677227 631522 621456 655708 713153 747151 750660Revenue passenger Load factor () (scheduled service) 4

DomesticCertificated ad 585 489 580 604 647 654 679 691 700 698 712 691 703 726 744 770 790Majors 595 493 581 605 650 658 685 696 704 702 716 693 706 729 748 777 794Nationals 419 436 584 494 636 618 620 631 651 664 665 670 682 725 736 744 772Large regionals N N 477 547 563 630 581 619 635 587 468 713 604 712 703 701 726

InternationalCertificated ad 622 530 628 691 706 718 733 741 728 744 760 728 766 765 791 795 799Majors N N 628 690 708 722 737 744 729 745 761 729 768 768 793 798 803Nationals N N 655 857 683 679 678 696 709 737 734 700 683 648 704 714 708Large regionals N N 739 639 462 531 N 572 460 00 580 670 591 704 776 00 643Other certificated all services

domestic and international d N N 467 568 576 525 628 593 496 476 488 522 614 601 589 514 529continued

Air Carrier Profile continued

Performance (continued) 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006US international passenger travel e6

Total passenger-arrivals (thousands)Flag of carrier

United States 1332 5531 10031 19145 23291 24582 25148 26744 27390 27462 29837 27985 26953 26557 29992 31657 33364Foreign 1234 4343 10231 17269 20527 22328 24704 27571 28791 30324 32380 28715 26912 27395 29591 29042 29587

Total passenger-departures (thousands)Flag of carrier

United States 1200 4949 9369 17628 21355 22231 22901 24302 24513 25457 27431 25483 23610 24070 27249 29668 31492Foreign 1136 4147 9886 16418 18993 20795 22884 25382 26350 28399 30068 27111 24996 25897 28682 28877 27985

Total revenue ton-miles (thousands) f 4

DomesticCertificated all services ad 3732949 13876802 24964907 43654400 50632739 52916214 56326750 58920010 60165036 63032298 66544502 61834963 62051071 65753373 72240509 74117030 74923193Majors all services 3332483 12589057 21427534 42027064 44952734 46142919 49892293 52478725 53424348 55599788 59095406 54883338 54411945 54251883 58514663 61959817 65627369Nationals all services 121157 850477 3336057 640398 3967715 4957793 5073195 5068024 5299740 6577361 6699944 6211281 6073565 8192062 11142320 10131320 7860786Large regionals all services N N 180042 944830 1256308 1353436 1048507 1231075 1161148 611809 628394 597407 684963 1584694 1193008 1136544 1200010

InternationalCertificated all services ad 1291336 6308701 9689067 19975913 24879793 26296958 28177722 30950867 31192066 32810134 35161434 32782793 33771616 35168498 40923680 44696422 45806946Majors all services N N 7377733 18348692 20681990 21456604 22705604 24971379 25794347 27764444 30683566 28459230 28020656 27099570 30614976 32690861 34565570Nationals all services N N 2261534 803083 2935386 3509127 4504772 4557048 4109500 3989939 3749703 3868703 5090922 7101794 8820202 9980412 9229784Large regionals all services N N 44438 704369 918447 1186218 668766 1038610 1211260 993874 621161 303700 636385 812738 1256237 1421590 1618112Other certificated all services domestic and international d N N 28178 161878 799950 607077 611336 526016 356761 305217 227762 294098 904251 1879129 1622782 1492908 628507

Total certificated d 5024285 20185503 34682153 63630313 75512531 79213173 84504472 89870877 91357103 95842432 101705936 94617756 95822687 100921870 113164189 118813452 120730139Revenue ton-miles of freight (thousands) g4

DomesticCertificated all services ad 552756 2708900 4528316 9067099 11802776 12524772 12860845 13640994 13886053 14201505 14982612 13172867 13931509 15231204 16451441 15741236 15859729Majors all services 321176 U 3129087 7964164 9746353 10071016 10382373 11172436 11302581 11555576 11866926 10834520 11771815 11835383 12312098 12139755 12900706Nationals all services 3850 U 1289510 374853 1227775 1588798 2033376 1869146 1889221 2240026 2743705 1856834 1205023 1401369 2696425 2280772 2310348Large regionals all services N N 108864 716256 664768 787828 411285 549046 561109 296660 356013 422682 510401 1225120 601447 651532 624594

InternationalCertificated all services ad 268156 1566105 3353371 7340033 9970191 10855442 12031635 14015255 13980493 14782230 15880424 14948684 16572205 18308387 21506293 23560482 23859784Majors all services N N 1945660 6157984 7352000 7717612 8172522 9614884 10054447 11132370 12524975 11525689 11663007 11472799 12636132 13127294 13898610Nationals all services N N 1395575 487873 1641444 2004875 3041774 3195422 2892634 2838536 2970370 3097665 4410564 6202264 7710029 8568375 8022366Large regionals all services N N 11409 605504 671144 1017649 618232 962529 985159 790413 298069 185111 482784 491619 936234 1268703 1578680Other certificated all services domestic and international d N N 3124 100498 469484 192437 232918 292786 181393 130155 102978 199051 460121 911037 1065369 1265286 384208

Total certificated d 820907 3755436 7884811 16407132 21772967 23380215 24892480 27656249 27866545 28983735 30863036 28121551 30503714 33539592 37957734 39301718 39719513continued

Air Carrier Profile continued

Safety 7 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air carrier fatalitiesOperating under 14 CFR 121 (airlines)

Scheduled services N N 0 39 239 160 342 3 1 12 89 531 0 22 13 22 50Nonscheduled services N N 1 0 0 8 38 5 0 0 3 0 0 0 1 0 0

Operating under 14 CFR 135Scheduled services (commuters) N N 37 6 25 9 14 46 0 12 5 13 0 2 0 0 2Nonscheduled services (onndashdemand air taxis) N N 105 51 63 52 63 39 45 38 71 60 35 42 64 18 16

Total 499 146 143 96 327 229 457 93 46 62 168 604 35 66 78 40 68Air carrier accidentsOperating under 14 CFR 121 (airlines)

Scheduled services N N 15 21 18 30 31 43 41 40 49 41 35 51 (R) 24 (R) 34 25Nonscheduled services N N 4 3 5 6 6 6 9 11 7 5 6 3 (R) 6 (R) 6 6

Operating under 14 CFR 135Scheduled services (commuters) N N 38 15 10 12 11 16 8 13 12 7 7 2 4 6 3Nonscheduled services (onndashdemand air taxis) N N 171 107 85 75 90 82 77 74 80 72 60 (R) 73 66 66 54

Total 90 55 228 146 118 123 138 147 135 138 148 125 108 (R) 129 100 (R) 112 88Fatal air carrier accidentsOperating under 14 CFR 121 (airlines)

Scheduled services N N 0 6 4 2 3 3 1 2 3 6 0 2 1 3 2Nonscheduled services N N 1 0 0 1 2 1 0 0 0 0 0 0 1 0 0

Operating under 14 CFR 135Scheduled services (commuters) N N 8 3 3 2 1 5 0 5 1 2 0 1 0 0 1Nonscheduled services (onndashdemand air taxis) N N 46 29 26 24 29 15 17 12 22 18 18 18 (R) 23 11 10

Total 17 8 55 38 33 29 35 24 18 19 26 26 18 (R) 21 25 14 13

e Passenger travel totals do not include Canada because the source does not record departures and arrivals to and from Canada

a Some totals include data not in the table thus totals may not equal sum of table data

b Includes scheduled and nonscheduled (charter) operators By Sec 2 of the Airline Deregulation Act of 1978 charter air carrier and charter air transportation replaced supplemental air carriers and supplemental air transportation which were formerly Sec 101(36) and (37) of the Act The 24 pre-deregulation supplemental carriers now have scheduled service authority c Total includes only those carriers who have reported employment statistics to BTS Office of Airline Information Full-time equivalent employees count two part-time employees as one full-time equivalent employee Prior to 1980 there was no breakout for part-time employees so earlier numbers will overstate full-time equivalent employeesd Data does not include small-certificated and commuter carriers prior to 2002 Small-certificated and commuter carriers began reporting T1 data in January of 2002 for Alaskan carriers and in October of 2002 for the remainder of the US

KEY N = data do not exist R = revised U = data are not available

Air Carrier Profile continued

f Total Revenue Ton-Miles includes passenger freight express and mailg Total revenue ton-miles of freight includes freight express and mail

NOTES

Domestic encompasses operations within and between the 50 states of the United States the District of Columbia Puerto Rico and the Virgin Islands It also encompasses Canadian and Mexican transborder operations (US airlines only) All other operations are considered international Data in the Financial and Performance (excluding International Air Passengers) sectins was revised for 1990 to 2005 to be consistent with the online source as of Nov 2 2007

SOURCESUnless otherwise noted refer to chapter tables for sources

1 1960-1970 Civil Aeronautics Board Handbook of Airline Statistics 1969 and 1973 (Washington DC) pp 69 and 71 1980 Civil Aeronautics Board Air Carrier Financial Statistics December 1981 (Washington DC) pp 328 42 and 44 1990-2006 US Department of Transportation Bureau of Transportation Statistics Form 41 Air Carrier Financial Reports Schedules P11 and P12 available at httpwwwtranstatsbtsgovdatabasesaspMode_ID=1ampMode_Desc=AviationampSubject_ID2=0 as of Nov 2 20072 1960 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information httpwwwbtsgovoaiemployeesemploycovhtml as of Oct 14 2003 1970-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information httpwwwbtsgovprogramsairline_informationnumber_of_employeescertificated_carriers as of Nov 2 20073 Ibid personal communication Oct 17 2003 Sept 10 2004 Feb 1 2007 and Nov 2 20074 1960-1970 Civil Aeronautics Board Handbook of Airline Statistics 1969 and 1973 (Washington DC) Part III tables 2 4 7 and 13 1980 Civil Aeronautics Board Air Carrier Financial Statistics December 1981 (Washington DC) pp 2 5 46 and 86 1990-2006 US Department of Transportation Bureau of Transportation Statistics T1 US Air Carrier Traffic and Capacity Summary by Service Class available at httpwwwtranstatsbtsgovTablesaspDB_ID=130ampDB_Name=Air20Carrier20Summary20Data2028Form204120and20298C20Summary20Data29ampDB_Short_Name=Air20Carrier20Summary as of Nov 2 20075 See sources 1 and 4

6 1960-70 US Department of Justice Immigration and Naturalization Service Report of Passenger Travel Between the US and Foreign Countries 1960 1970 (Washington DC) 1980-2006 US Department of Transportation Research and Special Programs Administration US International Air Travel Statistics (Washington DC Annual issues) tables IIa and IId 2006 US Department of Commerce Office of Travel and Tourism Industries US International Air Travel Statistics7 National Transportation Safety Board Internet site httpwwwntsbgovaviationstatshtm as of November 2007 and personal communication

General Aviation Profile

FINANCIAL1 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Expenditures total ($ millions) 895 2035 8053 9907 9332 10379 11605 13797 16372 17553 21909 26499 U U U U U

Aircraft 202 339 2853 3398 3910 4260 5298 7174 9573 11262 14291 18524 U U U U UOperating costs 693 1696 5200 6509 5422 6119 6307 6623 6799 6291 7618 7975 U U U U U

INVENTORY2

Number of active aircraft by primary use total 76549 131743 211045 196800 173400 188100 187312 192414 204710 219464 217533 211446 211244 209708 219426 224352 221943Corporate N 6835 14860 10100 9400 9800 9286 10411 11250 10804 11003 10544 10810 10493 10212 10553 11054Business N 26900 49391 33100 26500 26200 28236 27716 32611 24543 25169 25525 24153 25042 24189 25524 24413Instructional N 10727 14862 18600 15000 14800 14261 14663 11375 16081 14883 14254 13203 12714 13099 13399 14316Personal N 65398 96222 112600 102500 109300 109619 115630 124347 147085 148192 144031 145996 146722 149700 151408 149026Aerial application N 5455 7294 6200 4300 5100 5361 4858 4550 4254 4294 3779 3971 3250 3202 3548 3430Aerial observation N N N 4900 5100 4700 3225 3311 3242 3240 5093 5039 4535 4223 4814 4663 4407External load N N N N 100 200 424 186 313 190 234 202 151 194 215 226 212Other worka N 2054 2813 1400 1200 1100 1118 679 1116 2363 1787 1528 1733 1726 930 732 729Air taxi air toursb N N N 5800 3800 4100 3963 4948 5190 4569 4019 4004 4157 2791 6550 7539 7814Sightseeingc N N N N 1300 900 889 677 679 832 881 918 641 862 1050 945 906Otherd N 8249 17045 4100 4200 6300 6718 5250 6010 1200 1952 1573 1895 1691 1835 1787 2100Public use N N N N N N 4206 4130 4029 4138 j N j N j N j N j N j N j N

PERFORMANCE

Number of flight hours by actual use total 3

(thousands) 13121 26030 36430 30763 24092 26612 26909 27713 28100 31231 29960 27017 27040 27329 28126 26982 26982Corporate N N 5332 2913 2486 3069 2898 2878 3213 3535 3341 2657 3275 3227 2849 3072 3072Business 5699 7204 8434 4417 3012 3335 3259 3006 3523 3602 3588 3579 3287 3377 3249 3244 3244Instructional 1828 6791 5748 7244 4156 4410 4759 4956 3961 5795 5050 4307 4182 4393 4035 3635 3635Personal 3172 6896 8894 9276 8248 9659 9037 9644 9781 11072 11477 11266 11025 11251 10239 9266 9266Aerial application N N 2044 1872 1364 1526 1713 1562 1306 1408 1318 1038 1182 1099 1142 1031 1031Aerial observation N N N 1745 1746 1391 1057 1261 812 1244 1545 1442 1366 1262 1457 1265 1265External load N N N N 135 128 191 112 153 123 161 131 97 103 125 134 134Other worka N N 1053 572 241 280 265 139 286 605 496 256 369 414 264 176 176Air taxi air toursb N N N 2249 1545 1527 1834 2122 2583 1985 2122 1587 1495 1332 2764 3210 3210Sightseeingc N N N N 309 179 195 127 169 218 197 183 134 175 204 191 191Otherd 2422 5139 4925 475 622 1107 656 819 940 535 665 664 628 697 617 753 753Public usee N N N N N N 1047 1096 1373 1109 j N j N j N j N j N j N j N

Vehicle-miles (millions)f1 1769 3207 5204 4548 3358 3795 3524 3877 U U U U U U U U UPassenger-miles (millions)f1 2300 9100 14700 13000 9800 10800 12000 12500 13100 14100 15200 15900 U U U U UFuel consumed total (million gallons) f 5 242 759 1286 1016 731 847 896 934 1126 1313 1305 (R) 1198 (R) 1215 (R) 1205 (R) 1504 (R) 1511 (E) 1551Aviation gasoline 242 551 520 353 266 287 289 292 311 345 333 (R) 279 (R) 277 (R) 272 (R) 273 (R) 255 (E) 262Jet fuel N 208 766 663 464 560 608 642 815 967 972 (R) 918 (R) 938 (R) 932 (R) 1231 (R) 1255 (E) 1289

SAFETYFatalities totalg6 787 1310 1239 770 730 735 636 631 625 619 596 562 581 632 558 (R) 563 696

Corporate N 28 66 21 6 15 20 3 0 30 13 12 5 5 10 8 3Business N 148 126 80 64 73 44 45 42 55 43 50 39 33 45 14 37Instructional N 93 73 62 47 44 40 38 38 38 64 40 42 71 31 (R) 45 47Personal N 726 808 492 472 488 413 432 432 383 386 376 407 444 369 (R) 415 369Aerial application N 41 32 17 17 15 10 17 6 14 19 14 14 6 10 14 8Other N 174 134 95 138 112 119 106 112 105 87 73 77 84 95 72 234

Accidents total7 4793 4712 3590 2242 2021 2056 1908 1844 1905 1905 1837 1727 1715 (R) 1740 (R) 1619 1669 1484Fatal 429 641 618 444 404 413 361 350 365 340 345 325 345 352 314 321 301

Accident rate (per 100000 flight hours) hi 365 181 99 (R) 73 (R) 84 77 71 67 68 61 61 64 63 (R) 64 (R) 58 (R) 62 55Fatal 33 25 17 (R) 14 (R) 17 16 13 13 13 11 12 12 13 13 11 (R) 12 11

KEY N = data do not exist R = revised U = data are not available E = estimated by source

a In 1960 1970 1980 classified as Industrialb Includes air tours done under 14 CFR 135 air taxi operators and commercial operatorsc Includes sightseeing done under 14 CFR 91 general operating and flight rulesd Significant decrease in Other can be attributed to a redefining of the category to only include Aerial Other and Medical Usee Federal state or local government-owned or leased aircraft used for the purpose of fulfilling a government positionf Includes air taxi operations Nautical miles in source multiplied by 1151 to convert from nautical milesg Sum of fatalities does not necessarily equal total due to aircraft involved in midair and on-ground collisionsh Suicidesabotage cases are included in accidents and fatalities data but are excluded from accident ratesi Accident rates are calculated by BTS using the formula Accident Rates (per 100000 flight hours) = Accidents or FatalitiesFlight Hours (thousands)100j Beginning in 2000 Public Use was included in Other Work

NOTESNumbers may not add to totals due to rounding Total fatalities in this profile may not match those in table 2-14 due to when the total fatalities data were received and the data breakdown by type of flying NTSB constantly updates and reclassifies accident and fatality data1994-95 data for active aircraft by use and flight hours have been revised to reflect changes in adjustment for nonresponse bias with 1996 telephone survey factors 1996 vehicle-miles and fuel consumption data are estimated using new information on nonrespondents and are not comparable to earlier years

SOURCESUnless otherwise noted refer to chapter tables for sources1 1960-2001 Eno Transportation Foundation Inc Transportation in America Annual Issues (Washington DC) pp 40 and 45 and similar tables in earlier editions2 US Department of Transportation Federal Aviation Administration General Aviation and Air Taxi Activity and Avionics Survey (Washington DC 1990-2004 issues) table 113 Ibid table 14 and similar tables in earlier editions4 Ibid table 33 and similar tables in earlier editions5 1960-1990 US Department of Transportation Federal Aviation Administration General Aviation and Air Taxi Acitivity and Avionics Survey (Washington DC 1990-2000 issues) table 51 1994-2006 Ibid FAA Aerospace Forecasts (Washington DC Annual issues) table 30 and similar tables in earlier editions6 1960-1970 National Transportation Safety Board RE-50 personal communication 1980-2002 Ibid Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1998 (Washington DC July 2000) charts 27 39 40 41 42 and 43 and personal communications on Sept 10 2002 Dec 22 2003 April 30 2004 Mar 24 2005 Nov 7 2006 and Oct 30 20077 1960-80 National Transportation Safety Board RE-50 personal communication Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1998 (Washington DC July 2000) available at Internet site httpwwwntsbgovaviation as of July 22 2004 table 10 1990-2006 Ibid Aviation Accident Statistics table 10 Internet site httpwwwntsbgovaviationStatshtm as of Oct 30 2007

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Government receipts total ($ millions)1 11193 21763 39834 75444 91312 96347 102771 107421 111581 121650 131115 132324 134765 138384 145315 154690 165443Federal total 2771 6160 9949 14576 17854 19851 23196 21648 24509 26008 30819 27670 28527 29875 30911 33070 34171

Highway trust funda 2531 5464 7615 13380 16582 18835 22036 20500 23396 25085 29445 26365 26808 27755 28576 31194 32333Other 240 696 2334 1196 1272 1016 1160 1148 1113 923 1374 1305 1719 2120 2335 1876 1838

State and local total 8422 15603 29885 60868 73458 76496 79575 85773 87072 95642 100296 104654 106238 108509 114404 121620 131272State and DC 6055 11737 19666 40026 47699 50064 52808 58087 58806 63274 66434 68873 68430 67792 72860 77725 83685Local 2367 3866 10219 20842 25759 26432 26767 27686 28266 32368 33862 35781 37808 40717 41544 43895 47587

Government expenditures total ($ millions)1 10757 20829 41763 75408 90192 93478 98082 101953 107975 116011 122697 129900 135919 (R) 143807 147489 152699 161061Federal total 197 425 874 664 1306 1402 1598 1315 1375 1428 1680 1913 1761 (R) 2383 3470 1902 2191

Highway trust funda 27 83 315 358 965 1092 1384 1103 1170 1249 1304 1463 1261 (R) 1685 2436 758 1236Otherb 170 342 559 306 341 310 214 212 205 179 376 450 500 698 1034 1144 955

State and local total 10560 20404 40889 74744 88886 92076 96484 100638 106600 114583 121017 127987 134158 141424 144019 150797 158870State and DC 7125 14100 25936 45609 55569 56981 59709 61534 65507 71415 76997 81803 85653 88377 88026 94484 100090Local 3435 6304 14953 29135 33317 35095 36775 39104 41093 43168 44020 46184 48505 53047 55993 56313 58780

State highway user tax revenues c total ($ millions) 5323 10284 17178 35944 46437 47424 49756 51381 54507 56269 57144 58508 58299 59642 62830 64801 67519Motor fuel tax2 3374 6433 9485 19658 25860 26881 27555 28477 29803 30753 31981 32519 33046 34016 35272 35831 36632Other motor fuel receiptsd 2 22 44 92 220 101 108 63 55 58 134 179 298 297 277 194 202 952Motor vehicle registration fees 3 1514 2873 5173 10257 12388 11942 13234 13631 14552 14882 13704 14437 13316 13606 14443 15377 16117Other motor vehicle feese 3 235 577 1490 3353 4505 4416 4689 4704 5068 5350 5696 5764 6077 5885 6373 6451 6769Motor carrier taxesf 3 110 176 323 695 875 770 726 729 861 740 784 753 703 709 730 786 811Miscellaneous fees3 68 181 615 1761 2708 3307 3489 3785 4165 4410 4800 4737 4860 5149 5819 6154 6239

INVENTORY Rural urban mileage by ownership total4 3545693 3730082 3859837 3866926 3906595 3912226 3919652 3944601 3906304 3917245 3936241 3948335 3966494 3974103 3981521 3995644 4016734Rural mileage total 3116125 3169412 3230936 3122282 3092810 3092520 3092887 3108493 3064650 3071181 3084000 3071332 3071768 3033133 3000247 2985804 2987371

Under state control 658896 707002 750479 702486 690372 690924 691156 692767 660834 660682 661798 663134 662855 652522 648555 636339 635114Under federal control g 111912 187696 246130 178188 173650 170568 168938 167369 118369 116846 116698 119270 117751 120208 117740 123413 123370Under local control 2345317 2274714 2234327 2241608 2228788 2231029 2232793 2248357 2285447 2293653 2305504 2288928 2291162 2260403 2233952 2226052 2228887

County roads 1742404 1732981 1542984 1616634 1624982 1626927 1627639 1642468 1647025 1649291 1656906 1637616 1628510 1623786 1608094 1598718 1605540Town township and municipal roads h 538651 510174 458231 437460 423908 424529 426170 426433 426340 590206 592623 595197 606398 580825 573871 575569 571922Other local roadsh 64262 31559 233112 187514 179898 179573 178984 179456 212082 54156 55975 56115 56254 55792 51987 51765 51425

Urban mileage total 429568 560670 628901 744644 813785 819706 826765 836108 841654 846064 852241 877003 894726 940970 981274 1009840 1029363Under state control 50158 74103 97287 95778 109947 111766 111924 112226 110017 109956 110195 109136 110434 120033 126132 140913 143960Under federal control g N N 1495 1024 1484 1509 1470 1464 1485 1503 1484 2234 2819 3560 3561 3783 4979Under local control N N 530119 647842 702354 706431 713371 722418 730152 734605 740562 765633 781473 817377 851581 865144 880424

County roads N N 71357 95929 115388 117518 117181 117487 117016 117105 116918 144065 144615 156598 175601 182696 185582Town and township roads h N N 37583 42752 74630 60561 60926 74402 75195 605255 611473 608859 624163 647448 662366 668337 680424Other local roadsh 379410 486567 421179 509161 512336 528352 535264 530529 537941 12245 12171 12709 12695 13331 13614 14111 14418

Rural urban mileage by functional system total5 3545693 3730082 3859837 3866926 3906595 3912226 3919652 (R) 3944597 (R) 3906292 3917240 (R) 3936222 3948335 3966485 3974107 3981512 3995635 4016741Rural mileage total 3116125 3169412 3230936 3122282 3092810 3092520 3092887 (R) 3108488 (R) 3064649 3071181 (R) 3083979 3071331 3071761 3033138 3000236 2985796 2987375

Interstate N N 31905 33547 32457 32580 32820 (R) 32819 (R) 32808 32974 33048 33061 32992 32048 31443 30905 30586Other principal arterial N N 82569 83802 97175 97948 98131 98257 (R) 98858 98856 (R) 98919 99185 98853 97038 95946 95156 94937Minor arterial N N 149057 144774 138120 137151 137359 (R) 137498 137308 137463 (R) 137575 137587 137568 135596 135449 135408 135386Major collector N N 439000 436352 431115 431712 432117 (R) 432728 432408 432954 433121 433284 430946 424288 420046 419999 419117Minor collector N N 299613 293922 282011 274081 273198 (R) 272350 272140 271690 (R) 271803 271377 270700 267524 267842 264387 262841Local N N 2228792 2129885 2111932 2119048 2119262 (R) 2134836 2091127 2097244 (R) 2109513 2096837 2100702 2076644 2049510 2039941 2044508

Urban mileage total 429568 560670 628901 744644 813785 819706 826765 (R) 836109 (R) 841643 846059 (R) 852243 877004 894724 940969 981276 1009839 1029366Interstate N N 9215 11527 13126 13164 13217 (R) 13249 (R) 13276 13343 13379 13406 13491 14460 15129 15703 16044Other freeways and expressways N N 6774 7668 8994 8970 9027 (R) 9062 (R) 9163 9125 9140 9126 9323 9870 10246 10560 10748Other principal arterial N N 44155 51968 53110 52796 52983 (R) 53230 53132 53206 (R) 53314 53056 53439 56870 59695 61803 62830Minor arterial N N 66377 74659 87857 88510 89020 (R) 89196 89496 89399 89789 89962 90411 93888 97433 101673 102975Collector N N 68387 78254 86089 87331 87790 (R) 88042 88071 88008 88200 88713 89247 97114 102150 106109 108833Local N N 433993 520568 564609 568935 574728 (R) 583330 (R) 588505 592978 598421 622741 638813 668767 696623 713991 727936

US roads and streets by surface 6

Paved mileage total 1230469 1658421 2072692 2254822 2342179 2378268 2380650 2409935 2420344 2451426 (R) 2501716 (R) 2523479 2577693 2612069 2577963 2601490 2629638Rural 919082 1188080 1490050 1550283 1561649 1591334 1582166 1605804 1612251 1641877 (R) 1682140 (R) 1678795 1714714 1702175 1629423 1625390 1637819Urban 311387 470341 582642 704539 780530 786934 798484 804131 808093 809549 (R) 819576 (R) 844684 862979 909894 948540 976100 991819

Percent paved 347 445 537 583 600 608 605 609 613 624 633 637 648 655 645 649 652Unpaved mileage total 2315224 2071661 1787145 1612104 1564416 1533958 1553537 1548349 1528549 1478977 (R) 1448319 (R) 1438723 1402995 1376283 1417527 1408757 1401791

Rural 2197043 1981332 1740886 1571999 1531161 1501186 1518310 1510330 1490488 1436969 (R) 1409279 (R) 1400129 1364900 1333969 1373622 1363383 1352456Urban 118181 90329 46259 40105 33255 32772 35227 38019 38061 42008 39040 (R) 38594 38095 42314 43905 45374 49335

Percent unpaved 653 555 463 417 400 392 395 391 387 376 367 363 352 345 355 351 348Number of employeesState and local govt streets and highways 7 532000 607000 559000 569000 544233 543143 U 548486 530097 542612 546215 551706 545249 (R) 545617 542642 546220 545089Highway street and bridge construction i8 U U U U 274000 278100 287500 294200 308000 336300 340100 345800 345900 340100 347000 (R) 350800 348300PERFORMANCEVehicle-miles of travel by functional system (millions) total j 9 718762 1109724 1527295 2144362 2357588 2422696 2484080 2552233 2628148 2690241 2746925 2781462 2855756 2890893 2962513 2989807 3014116Rural mileage total 400463 539472 672030 868878 908341 933289 960194 999277 1032528 1062623 1083152 1105083 1128160 1085385 1070248 1037937 1037069

Interstate 10514 79516 135084 200173 215568 223382 232565 240255 251520 260166 268180 274024 279962 269945 266996 258790 257913Other principal arterial N N 132958 175133 207569 215567 221403 228716 237704 244045 248725 253056 257587 245345 241046 233999 231865Minor arterial N N 129816 155733 149760 153028 157444 163341 165780 169275 171874 173889 176218 171251 168898 164933 162634Major collector N N 150186 190512 182000 186212 190923 201790 203580 206831 209659 211312 213503 203368 200792 193288 193287Minor collector N N 39282 49948 48529 49936 50107 52310 54288 57622 57572 59650 61504 60294 60139 58299 58088Local N N 84704 97379 104915 105164 107752 112865 119656 124684 127142 133152 139386 135182 132377 128628 133282

Urban mileage total 318299 570252 855265 1275484 1449247 1489407 1523886 1552956 1595620 1627618 1663773 1676379 1727596 1805508 1892265 1951870 1977047Interstate 13365 81532 161242 278901 330577 341515 351579 361433 374622 383259 393465 399890 408618 432633 454385 469070 477283Other freeways and expressways N N 79690 127465 147534 151509 157502 159572 165632 171515 177222 182758 189634 199520 (R) 207929 213727 217067Other principal arterial N N 229469 335543 364200 370365 377776 385123 388071 392688 398772 401037 408336 425622 450142 463100 466949Minor arterial N N 175030 236225 286165 293228 299345 301932 309293 313950 324398 329931 339387 348794 362018 371392 376082Collector N N 83043 106297 120088 126883 129310 130146 131905 131603 135372 137922 141874 153751 162108 168038 173210Local N N 126791 191053 200683 205907 208374 214750 226097 234603 234544 224841 239747 245188 255683 266543 266456

Highway demand for petroleum total (thousand barrels) 1488095 2361310 2882143 3289554 3530071 3602159 3669491 3765003 3889758 4042708 4062573 4081742 4203095 4233039 4328176 (R) 4360995 4355057Motor fuel10 1378095 2198310 2737143 3113214 3353320 3424616 3492285 3580620 3699500 3843128 3870337 3892341 4016243 4049263 4131695 (R) 4161592 4165008Asphalt and road oil 11 110000 163000 145000 176340 176751 177543 177206 184383 190258 199580 192236 189401 186852 183776 196481 (R) 199403 190049

SAFETY12

Fatalities 36399 52627 51091 44599 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 (R) 43510 42642Injured persons N N N 3231000 3266000 3465000 3483000 3348000 3192000 3236000 3189000 3033000 2926000 2889000 2788000 2699000 2575000Crashes N N N 6471000 6496000 6699000 6770000 6624000 6335000 6279000 6394000 6323000 6316000 6328000 6181000 6159000 5973000

Highway Profile

KEY N = data do not exist R = revised U = data are not available

12 1960-80 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis NRD-30 personal communication1990-2006 Ibid Traffic Safety Facts (Washington DC Annual issues) tables 1 and 4

10 1960-90 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (total fuel consumed in thousands of gallons divided by 42)

1994-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 (total fuel consumed in thousands of gallons divided by 42)11 1960-80 US Department of Energy Energy Information Administration State Energy Data Report (Washington DC July 1982) p 13

1990-2006 US Department of Energy Energy Information Administration Petroleum Supply Annual Volume 1 (Washington DC Annual issues) table 1

1996-2006 Ibid Highway Statistics (Washington DC Annual issues) table HM-127 1960-90 US Department of Commerce US Census Bureau Statistical Abstract of the United States (Washington DC Annual issues) State and Local Government Section

9 1960-70 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 FHWA-PL-97-009 (Washington DC April 1987) table VM-2011980-2006 Ibid Highway Statistics (Washington DC Annual issues) tables VM-2 and VM-2A

2 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MF-201 1996-2006 Ibid Highway Statistics (Washington DC Annual isssues) table MF-1

1996-2006 Ibid Highway Statistics (Washington DC Annual issues) table HM-206 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table HM-212

SOURCESUnless otherwise noted please refer to chapter tables for sources1 1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table HF-210 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) tables HF-10A and HF-10

NOTES

Total system mileage may differ when categorized by ownership and functional system due to rounding at different levels of aggregation Additionally total system mileage categorized by surface type is based on sampling and is not comparable to the totals based on the other categorizations

Motor vehicle injury and crash data in this profile come from the National Highway Traffic Safety Administrations General Estimates System (GES) The data fromGES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes and the GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes which were not reported to the police or which did not result in at least property damage

In 1998 FHWA instituted a new method of creating mileage based tables derived from the Highway Performance Monitoring System (HPMS) See Chapter 1 accuracy profiles for more information about the HPMS

g Mileage in federal parks forests and reservations that are not a part of the state and local highway system h Prior to 1999 mileage for municipal roads is included with the other local roads jurisdiction Mileage for municipal roads is included in Town Township and Municipal Road jurisdiction after 1999i Data for years 1994 and later are based on the North American Industry Classification System (NAICS) Prior to 1994 data are based on the Standard Industrial Classification System (SIC) j Highway category classifications changed several times before 1980 Actual 1960 data categories were Main Rural Roads Local Rural Roads and Urban Streets 1970 data categories were Rural Interstate Rural Other Arterial Other Rural Urban Interstate and Other Urban

a The Federal Highway Trust Fund was created with the enactment of the Highway Revenue Act of 1956 The total receipts shown for 1995 are overstated by approximately $159 billion due to a fiscal year (FY) 1994 error by the Treasury Department in reconciling estimated deposits to the actual tax revenue The correction was made after the close of FY1994 and is shown in FY1995 receiptsb Figures obtained by additionsubtraction and may not appear directly in data source

c Gross amounts collected by state governments from highway users Does not include tolls Not all revenues are allocated to highway expendituresd Includes distributor and dealer licenses inspection fees fines and penalties and miscellaneous receiptse Includes driver licenses title fees special title taxes fines and penalties estimated service charges and local collections

f Includes carrier gross receipt taxes mileage ton-mile and passenger-mile taxes special license fees and franchise taxes and certificate or permit fees

Earlier editions of NTS particularly the 1993 Historical Compendium used crash and injury figures estimated by the National Safety Council which employed a different set of methods to arrive at its figures Thus the injury and crash figures in this edition of NTS may not be comparable with those found in earlier editions

1994-2006 US Department of Commerce US Census Bureau State and Local Government Employment and Payroll Data (Washington DC Annual issues) Internet site httpwwwcensusgovgovswwwapesstlhtml as of Apr 15 20088 US Department of Labor Bureau of Labor Statistics Internet site httpwwwblsgovdatasahtm as of Apr 15 2008

3 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-2021996-2006 Ibid Highway Statistics (Washington DC Annual issues) table MV-24 1960-70 Highway Statistics Summary to 1985 (Washington DC July 1997) table M-2031980-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table HM-2101996-2006 Ibid Highway Statistics (Washington DC Annual issues) table HM-105 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) tables HM-212 and HM-220

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Personal auto expenditures totala ($ millions) (R) 39886 (R) 73390 (R) 209563 (R) 377492 (R) 442346 (R) 462166 (R) 494691 (R) 519828 (R) 529047 (R) 573429 (R) 628952 (R) 631527 (R) 622369 (R) 646756 (R) 695320 772607 828900

New and used carsa1 16600 26700 57200 119000 133200 132600 136000 139400 147300 158400 164300 162900 162100 152000 152600 161600 165100Tires tubes accessories and parts1 2500 6100 17900 29900 36000 37800 40300 41900 43900 47000 49000 49100 50300 52000 54400 57900 59800Gasoline and oil1 12000 21900 86700 111200 116200 120200 130400 134400 122400 137900 175700 171600 164500 192700 230400 280700 318600Tolls1 300 700 1100 2300 3400 3700 4000 4400 4400 4800 5100 5100 5300 5500 5700 6500 6900Insurance premiums less claims paid1 2000 3800 9400 23500 32800 34500 36700 37800 40400 43200 43000 44600 45800 49200 53700 57800 60100Repair greasing washing parking storage rental and leasing1 5500 12300 34000 84900 112500 125500 138700 152900 161100 172600 183500 189100 186000 186800 189500 198400 208400Auto registration fees2 867 1668 2893 6054 7423 7043 7698 8163 8630 8625 7607 8278 7415 7478 7826 8484 8774Drivers license fees2 119 222 370 638 823 823 893 865 917 904 745 849 954 1078 1194 1223 1226

Taxi expenditures ($ millions)1 600 1200 1900 2600 2800 3000 3200 3300 3500 3300 3100 3200 3300 3500 3600 3900 4200INVENTORYNumber of vehicle registrationsPassenger car3 61671390 89243557 121600843 133700496 127883469 128386775 129728341 129748704 131838538 132432044 133621420 137633467 135920677 135669897 136430651 136568083 135399945Other 2-axle 4-tire vehicle3 e 14210591 27875934 48274555 62903589 65738322 68933798 70224082 71330205 75356376 79084979 84187636 85011305 87186663 91845327 95336839 99124775Motorcycle4 574032 2824098 5693940 4259462 3756555 3897191 3871237 3826373 3879450 4152433 4346068 4903056 5004156 5370035 5767934 6227146 6686147Motor vehicle licensed drivers5 87252563 111542787 145295036 167015250 175403465 176628482 179539340 182709204 184860969 187170420 190625023 191275719 194295633 196165667 198888912 200665267 202810438Number of employees6 (based on SIC)Taxicabs 120700 106400 52500 32400 30800 30700 30500 30600 31200 31600 31900 31800 30800 N N N NAutomotive dealers and service stations 1267200 1617400 1688500 2063100 2116200 2189600 2266700 2310800 2332300 2368100 2409600 2424800 2432200 N N N NMotor vehicles parts and supplies N N 434300 456000 471400 492100 502800 513000 516600 523700 516800 502100 498000 N N N NAuto repair services and parking N N 570900 913700 968300 1020100 1080000 1119600 1145200 1196400 1234200 1257200 1263200 N N N NNumber of employees7 (based on NAICS)Taxi service N N N 33600 31600 31600 31400 31600 32300 32700 33100 33100 31800 31400 30600 30300 30600Wholesale motor vehicles and parts N N N 309400 319900 334600 342500 350200 353600 359500 355700 347300 345600 342100 340700 344200 349200Retail motor vehicle and parts dealers N N N 1494400 1564700 1627100 1685600 1723400 1740900 1796600 1846900 1854600 1879400 1882900 1902300 1918600 1907900Gasoline stations N N N 910200 902300 922300 946400 956200 961300 943500 935700 925300 895900 882000 875600 871100 861000Parking lots and garages N N N 67600 71100 74800 78400 81800 84700 88900 92800 95500 95900 99600 101800 103400 104800Automotive repair and maintenance N N N 659400 701300 737900 781400 810500 828300 864200 888100 903900 899600 894200 890600 886100 887400PERFORMANCE Vehicle-miles total (millions) 587012 1042965 1412745 1992394 2276276 2238120 2294703 2363376 2428135 2480706 2533815 2581178 2634060 2665750 2737176 2759926 2784085Passenger car totala 8 (c) 587012 (c) 919679 (c) 1121810 (c) 1417823 1501402 1438294 1468854 1502556 1549577 1569100 1600287 1628332 1658474 1672079 1699890 1708421 1682671

Rural highway total (c) 313623 (c) 424088 (c) 450659 (c) 547910 526764 523834 535951 551080 574979 584765 593391 604677 608939 580059 564509 543179 535670Rural interstate N (c) 62342 (c) 89488 (c) 117519 119535 114933 119268 120045 127335 130856 134466 135966 138819 132101 129415 122789 122337Rural other arterial (c) 233452 (c) 182213 (c) 180857 (c) 211066 212418 210553 216074 220180 228847 231117 234743 236337 238009 225437 217495 210331 206708Other rural roads (c) 80171 (c) 179533 (c) 180314 (c) 219325 194810 198348 200609 210855 218797 222792 224182 232374 232111 222522 217599 210059 206625

Urban highway totalb (c) 273389 (c) 495591 (c) 671151 (c) 869912 974638 914460 932903 951476 974598 984335 1006896 1023655 1049535 1092020 1135381 1165242 1147001Urban interstate N (c) 69369 (c) 124480 (c) 184783 217174 204035 210302 214016 220487 224132 230510 236983 243521 251904 258666 266834 267336Other urban N (c) 426222 (c) 546671 (c) 685129 757465 710425 722601 737460 754111 760203 776386 786672 806014 840117 876715 898408 879665

Other 2-axle 4-tire vehicle total9 e 123286 290935 574571 764634 790029 815936 850739 868275 901022 923059 943207 966034 984094 1027164 1041051 1089013Rural highway total e 73591 149560 227831 285325 295472 306891 327316 334806 351658 360355 374736 384185 372891 374515 361562 372940

Rural interstate e 6766 19952 46298 60849 63329 65779 69030 72343 76190 79088 82356 85132 82513 83181 80173 81830Rural other arterial e 29808 56137 87474 113595 118305 122211 129890 132043 138475 141257 146525 150758 148100 148802 143976 145566Other rural roads e 37017 73471 94059 110881 113838 118901 128396 130420 136993 140010 145855 148295 142278 142532 137413 145544

Urban highway totalb e 49695 141375 346739 479308 494557 509045 523423 533469 549364 562704 568471 581849 611203 652649 679490 716073Urban interstate e 6252 23067 71500 105317 109807 112908 116680 121700 124399 128291 127989 130174 142472 155714 160470 166637Other urban e 43443 118308 275239 373991 384750 396136 406743 411769 424965 434413 440482 451675 468731 496935 519020 549436

Motorcycle totala 8 f f f f 10240 9797 9913 10081 10283 10584 10469 9639 9552 9577 10122 10454 12401Rural highway total f f f f 4402 4098 4070 4147 4279 4448 4507 4383 4445 4289 4381 4335 4750

Rural interstate f f f f 1279 1058 1056 1050 1112 1100 1164 1121 1212 1279 1354 1356 1425Rural other arterial f f f f 1698 1510 1500 1552 1588 1662 1680 1649 1623 1472 1435 1413 1628Other rural roads f f f f 1425 1530 1513 1545 1579 1686 1663 1613 1610 1538 1593 1566 1696

Urban highway totalb f f f f 5838 5699 5843 5934 6004 6136 5962 5256 5107 5288 5741 6120 7652Urban interstate f f f f 1420 1454 1516 1509 1579 1690 1692 1546 1670 1962 2089 2270 2509Other urban f f f f 4418 4245 4327 4425 4425 4446 4270 3710 3437 3326 3652 3849 5143

Automobile Profile

Passenger-miles total (millions)3 1145000 1979787 2545020 3037244 3623364 3553810 3643719 3752829 3855696 3939137 4023637 4247094 4307312 4360151 4479453 2699305 2658621Passenger cars (ac) 1145000 (ac) 1754174 (ac) 2024246 (c) 2140913 (c) 2600050 2286887 2335478 2389065 2463828 2494870 2544457 2556481 2620389 2641885 2685827 2699305 2658621Other 2-axle 4-tire vehicle e 225613 520774 896331 1012050 1256146 1297337 1352675 1380557 1432625 1467664 1678853 1674792 1706103 1780771 1804848 1887997Motorcycle f f f f 11264 10777 10904 11089 11311 11642 11516 11760 12131 12163 12855 13277 15750

Average miles traveled per vehicle3

Passenger car (c) 9518 (c) 9989 (c) 8813 (c) 10277 (c) 10759 11203 11323 11581 11754 11848 11976 11831 12202 12325 12460 12510 12427Other 2-axle 4-tire vehicle e 8676 10437 11902 12156 12018 11837 12115 12173 11957 11672 11204 11364 11287 11184 10920 10986Motorcycle f f f f 2726 2514 2561 2635 2651 2549 2409 1966 1909 1783 1755 1679 1855Fuel consumed (million gallons)3

Passenger cars (c) 41171 (c) 67879 (c) 70186 (c) 69759 (c) 68079 68072 68897 69892 71695 73283 73065 73559 75471 75455 75402 77418 74983Other 2-axle 4-tire vehicle e 12313 23796 35611 44112 45605 47133 49388 50462 52859 52939 53522 55220 60758 63417 58869 60662Motorcycle f f f f 205 196 198 202 206 212 209 193 191 192 202 189 221Average fuel consumption per vehicle (gallons)3

Passenger cars (c) 668 (c) 737 (c) 551 (c) 506 (c) 517 530 531 539 544 553 547 534 555 556 553 567 554Other 2-axle 4-tire vehicle e 866 854 738 701 694 684 703 707 701 669 636 650 697 690 617 612Motorcycle f f f f 55 50 51 53 53 51 48 39 38 36 35 30 33Average miles traveled per gallon of fuel consumed3

Passenger cars (c) 14 (c) 14 (c) 160 (c) 203 (c) 21 211 213 215 216 214 219 221 220 222 225 22 22Other 2-axle 4-tire vehicle e 100 122 161 173 173 173 172 172 170 174 176 175 162 162 18 18Motorcycle f f f f 50 50 50 50 50 50 50 50 50 50 50 55 56SAFETY10

Number of occupants and nonoccupant fatalitiesPassenger car N N 27449 24092 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 19192 18512 17800Light Truck N N 7486 8601 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 13037 12721Motorcycle 790 2280 5144 3244 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 4576 4810Bicycled 490 760 965 859 802 833 765 814 760 754 693 732 665 629 727 786 773Pedestriand 7210 8950 8070 6482 5489 5584 5449 5321 5228 4939 4763 4901 4851 4774 4675 4892 4784Occupant fatality ratesPer 100 million vehicle-milesg

Passenger car 47 38 25 17 15 15 15 15 14 13 13 13 13 12 12 12 11Light Truck N N 25 16 13 13 13 12 12 13 12 12 12 12 12 12 11Motorcycle N 765 504 339 227 227 218 210 223 235 277 332 342 388 398 438 388

Per 10000 registered vehiclesPassenger car 51 39 26 20 18 18 18 18 17 16 16 16 16 15 14 14 13Light Truck N N 25 17 15 15 15 15 15 15 15 15 15 15 14 14 13Motorcycle 138 81 90 76 62 57 56 55 59 60 67 65 65 69 70 73 72

Fatal CrashesTotal Fatal Crashes U U U 39836 36254 37241 37494 37324 37107 37140 37526 37862 38491 38477 38444 39252 38588Number of vehicles involved in fatal crashes

Passenger car U U 39059 34085 30273 30940 30727 30059 29040 28027 27802 27586 27374 26562 25682 25169 24087Light Truck U U 12680 15620 16353 17587 18246 18628 19363 19959 20498 20831 21668 22299 22486 22964 22290Motorcycles U U 5194 3276 2339 2268 2176 2160 2334 2532 2975 3265 3365 3802 4121 4682 4935

Vehicle involvement rate (fatal crashes)Per 100 million vehicle-miles

Passenger car N 56 35 24 21 21 21 20 19 18 18 17 17 17 16 16 15Light Truck N N 43 28 23 24 23 23 23 22 22 21 21 21 21 20 19Motorcycle N 229 509 343 228 232 219 214 227 239 284 339 352 397 407 448 398

Per 10000 registered vehiclesPassenger car N 56 37 28 25 25 25 24 23 22 22 21 21 20 19 19 18Light Truck N N 42 31 27 28 28 28 28 27 27 26 26 26 25 24 23Motorcycle N 82 91 77 62 58 56 56 60 61 68 67 67 71 71 75 74

KEY N = data do not exist R = revised

NOTES

e Included in single-unit 2-axle 6-tire or more truck categoryf Included in passenger cars

a Figures obtained by addition subtraction and may not appear directly in data sourceb Urban consists of travel on all roads and streets in urban places of 5000 or greater population

d Involvement only with motor vehicle

c Includes motorcycle data

g Rates come directly from the source and may differ slightly from rates that could be calculated from the information displayed in this table

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues totala (based on SIC) ($ millions) N N N 127314 155713 161806 172743 183153 197490 N N N N N N N N

Local trucking N N N 31397 40903 43830 46589 49972 55553 N N N N N N N NTrucking except local N N N 74465 89369 91675 97586 103847 109351 N N N N N N N NLocal trucking with storage N N N 4115 4757 5154 5502 5860 6144 N N N N N N N NCourier services except by air N N N 17337 20684 21147 23066 23474 26442 N N N N N N N N

Operating expenses totala (based on SIC) ($ millions) N N N 118968 145216 151628 162825 170998 179907 N N N N N N N NLocal trucking N N N 28049 36455 38695 41325 43871 47478 N N N N N N N NTrucking except local N N N 70965 84682 88061 94390 98570 101584 N N N N N N N NLocal trucking with storage N N N 3885 4543 4817 5121 5439 5638 N N N N N N N NCourier services except by air N N N 16069 19536 20055 21989 23118 25207 N N N N N N N N

Operating revenues totalb (based on NAICS) ($ millions) N N N N N N N N (R) 197314 (R) 207751 (R) 223197 (R) 221355 (R) 222383 (R) 228311 (R) 248191 273574 291316 Truck transportation N N N N N N N N (R) 148121 (R) 155871 (R) 165421 (R) 162871 (R) 164218 (R) 168486 (R) 185945 206550 219539Couriers and messengers N N N N N N N N 49193 (R) 51880 57776 58484 58165 59825 62246 67024 71777

Truck highway-user taxes totalc ($ millions) 2830 5632 9888 19356 23836 25117 U 28010 28697 30502 31769 30689 30216 31266 32780 35178 37351State 1709 3429 6731 12691 13157 13844 U 15750 15611 16266 16476 17686 16566 14312 17923 18632 19573Federal 1121 2203 3157 6665 10679 11273 U 12260 13086 14236 15293 13003 13650 16954 14857 16546 17778

INVENTORYNumber of truck registrations total 11914249 4586487 5790653 6195876 6587885 6719421 7012615 7083326 7732270 7791426 8022649 7857675 7927280 (R) 7756888 8171363 8481999 8819007

Single-unit truck N 3681405 4373784 4486981 4906385 5023670 5266029 5293358 5734925 5762864 5926030 5703501 5650619 (R) 5848523 6161028 6395240 6649337Combination truck N 905082 1416869 1708895 1681500 1695751 1746586 1789968 1997345 2028562 2096619 2154174 2276661 (R) 1908365 2010335 2086759 2169670

Number of employeesTrucking and courier services except air (based on SIC) N 998500 1182000 1273900 1384200 1440000 1482100 1514200 1568800 1613700 1630500 1619800 1590000 N N N NTruck transportation (based on NAICS) N N N 1122400 1206200 1249100 1282400 1308200 1354400 1391500 1405800 1386800 1339300 (R) 1325600 (R) 1351700 1397600 1435800Couriers and messengers (based on NAICS) N N N 375000 466200 516800 539900 546000 568200 585900 605000 587000 560900 (R) 561700 (R) 556600 571400 582400Truck drivers and sales workersd (based on NAICS) 1477000 1565000 1931000 2148000 2321000 2861000 2542000 2602000 3012000 3028660 2983950 2992700 2867530 2869770 2899010 2963550 3012220Number of trucking and courier establishmentsa N 64756 69796 90709 108971 112887 116861 121111 119572 120687 122713 122669 124481 125744 128121 131086 134053PERFORMANCEVehicle-milestotal rural and urban (millions) 127404 62215 108491 146242 170216 178156 182971 191477 196380 202688 205520 209032 214603 217917 (R) 220811 222524 223037Rural highway total 84508 39244 68776 89692 100865 106031 109480 114698 115142 117941 120410 122736 125884 123689 (R) 121330 119684 120086

Rural interstate N 10069 25111 35789 40034 43351 45721 49336 49896 51049 52484 53225 54503 52925 (R) 51296 51378 51385Rural other arterial N 17625 24789 31331 35040 37056 37875 39193 39724 40691 41649 41838 42436 41342 (R) 40690 39762 39626Other rural roads N 11550 18876 22572 25791 25624 25884 26169 25522 26201 26277 27673 28945 29422 (R) 29344 28544 29075

Urban highway totale 42896 22971 39715 56550 69351 72125 73491 76779 81238 84747 85110 86296 88719 94227 (R) 99481 102840 102951Urban interstate N 5634 13135 22163 25045 25639 26256 28549 30193 32286 32181 32690 33040 35487 (R) 38083 40289 39731Other urban streets N 17337 26580 34387 44306 46486 47235 48230 51045 52461 52929 53606 55679 58740 (R) 61398 62551 63220

Passenger-miles totalf (millions) 127405 62215 108491 146242 170216 178156 182971 191477 196380 202688 205520 209032 214603 217917 (R) 220811 222524 223037Single-unit truckg 98551 27081 39813 51901 61284 62705 64072 66893 68021 70304 70500 72448 75866 77757 (R) 78441 78496 80331Combination truck 28854 35134 68678 94341 108932 115451 118899 124584 128359 132384 135020 136584 138737 140160 (R) 142370 144028 142706

Ton-miles (millions) U U (R) 629675 (R) 848779 (R) 987923 (R) 1034041 (R) 1061952 (R) 1110554 (R) 1139777 (R) 1176388 (R) 1192825 (R) 1213208 (R) 1245542 (R) 1264773 1281573 1291515 1294492Fuel consumed all trucks (million gallons) 15882 11316 19960 24490 27685 28993 29601 29878 31975 33909 35229 35179 36800 32696 (R) 33150 37190 37918

Single-unit truck N 3968 6923 8357 9032 9216 9409 9576 6817 9372 9563 9667 10321 8880 (R) 8959 9501 9843Combination truck N 7348 13037 16133 18653 19777 20192 20302 25158 24537 25666 25512 26480 23815 (R) 24191 27689 28075

Average fuel consumption per vehicle all trucks (gallons) 1333 2467 3447 3953 4202 4315 4221 4218 4135 4352 4391 4477 4642 4215 (R) 4057 4385 4300Single-unit truck N 1078 1583 1862 1841 1835 1787 1809 1189 1626 1614 1695 1826 1518 (R) 1454 1486 1480Combination truck N 8119 9201 9441 11093 11663 11561 11342 12596 12096 12241 11843 11631 12479 (R) 12033 13269 12940

Average miles traveled per gallon of fuel consumed all trucks 80 55 54 60 61 61 62 64 61 60 58 59 58 67 67 60 59Single-unit truck N 68 58 62 68 68 68 70 100 75 74 75 74 88 88 83 82Combination truck N 48 53 58 58 58 59 61 51 54 53 54 52 59 59 52 51

Average miles traveled per vehicle all trucks 10693 13565 18736 23603 25838 26514 26092 27032 25397 26014 25617 26602 27071 28093 (R) 27023 26235 25290Single-unit truck N 7356 9103 11567 12491 12482 12167 12637 11861 12199 11897 12702 13426 13295 (R) 12732 12274 12081Combination truck N 38819 48472 55206 64783 68083 68075 69601 64265 65260 64399 63404 60939 73445 (R) 70819 69020 65773

Average length of haul (domestic freight) (miles) 272 263 363 391 392 416 426 435 442 458 473 485 U U U U USAFETYOccupant fatalities large truck N N 1262 705 670 648 621 723 742 759 754 708 689 726 (R) 766 804 805Occupant fatality ratePer 100 million vehicle-miles large truck N N 12 05 04 04 03 04 04 04 04 03 03 03 (R) 04 04 04Per 10000 registered vehicles large truck N N 22 11 10 10 09 10 10 10 09 09 09 09 09 09 09Vehicle involvement rate (fatal crashes)Per 100 million vehicle-miles large truck N N 50 33 27 25 26 26 25 24 24 23 21 22 22 22 21Per 10000 registered vehicles large truck N N 93 77 70 67 68 69 64 63 62 61 58 61 60 58 54

Truck Profile

KEY N = data do not exist R = revised U = data are not available

Number of trucking and courier establishments

Vehicle-miles total rural and urban

Number of employees Truck drivers and sales workers (based on NAICS)

2002-06 US Department of Labor Bureau of Labor Statistics Occupational Employment Statistics Occupational Employment and Wages 2003 (Washington DC November 2003) available at httpwwwblsgovoes as of May 21 2008

1960-2001 Eno Transportation Foundation Inc Transportation in America 2000 (Washington DC 2001) p 35

a Local trucking (SIC 4212) - Establishments primarily engaged in furnishing trucking or transfer services without storage for freight generally weighing more than 100 poundsTrucking except local (SIC 4213) - Establishments primarily engaged in furnishing over-the-road trucking services or trucking services and storage services including household goods either as common carriers or under special or individual contracts or agreements for freight generally weighing more than 100 poundsLocal trucking without storage (SIC 4214) - Establishments primarily engaged in furnishing both trucking and storage services including household goodsCourier services except by air (SIC 4215) - Establishments primarily engaged in the delivery of individually addressed letters parcels and packages (generally under 100 pounds)b Truck transportation (NAICS 484) - Industries primarily engaged in over-the-road transportation of cargo using motor vehicles truck-tractors and trailers

Couriers and messengers (NAICS 492) - Establishments primarily engaged in providing air surface or combined courier delivery services of parcels or primarily engaged in furnishing local messenger and delivery services of small items within a single metropolitan area or urban centerc Numbers may not equal totals due to rounding

Operating revenues total (based on NAICS)

Truck highway-user taxes

d In 1999 the Occupational Employment Statistics survey began using the Standard Occupational Classification (SOC) system to organize occupational data Therefore estimates from 1999 and subsequent years are not directly comparable to previous occupational dataeUrban consists of travel on all roads and streets in urban places of 5000 or greater populationf As cited on the Federal Highway Administration (FHWA) highway passenger-miles are calculated by multiplying vehicle-miles of travel and the average number of occupants for each vehicle typeg Includes other 2-axle 4-tire vehicle in 1960

NOTES

In 1995 FHWA revised its vehicle type categories These new categories include passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Other 2-axle 4-tire vehicles include vans pickup trucks and sportutility vehicles In previous years some minivans and sportutility vehicles were included in the passenger car category Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Occupant fatality rate (OFR) for Light Trucks has been removed but that it is in the Automobile profile The remaining fatality rates are calculated by NHTSA and may be different from what would be calculated from the data presented

1995-2006 lbid Federal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-1Ton-miles

US Bureau of the Census County Business Patterns (Washington DC Annual issues) NAICS 484 and 492SIC 421 available at httpcenstatscensusgovcbpnaiccbpnaicshtml as of December 2008

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201

1960-1999 American Trucking Association American Trucking Trends (Washington DC Annual issues)

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

1960-90 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-1994 (Washington DC September 1994) SIC 421

1990-2006 US Department of Labor Bureau of Labor Statistics Database and Tables available at httpwwwblsgovdatasahtm as of May 2008 NAICS codes 484 Truck transportation and 492 Couriers and messengers

1994-2006 Ibid Employment Hours and Earnings available at wwwblsgov as of May 23 2008 SIC 421

Number of employees Truck transportation (based on NAICS) and Couriers and messengers (based on NAICS)

2000-2006 American Trucking Association American Trucking Trends unpublished data personal communication June 30 2008 Number of truck registrations

1995-2006 Ibid Federal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-1Number of employees Trucking and courier services except air (based on SIC)

US Census Bureau Transportation Annual Survey (Washington DC December 1998) table 1

Ibid Service Annual Survey 2006 (Washington DC Annual issues) table 21 and similar tables in earlier editions available at httpwwwcensusgovsvsdwwwservicessassas_datasas48htm as of May 2008

SOURCESUnless otherwise noted refer to chapter tables for sources

Operating revenues total and Operating expenses total (based on SIC)

1960-70 Eno Transportation Foundation Inc Transportation in America 2000 (Washington DC 2001) p 12

1960 Ibid Transportation in America 2000 (Washington DC 2001) p 35

Eno Transportation Foundation Inc Transportation in America 2001 (Washington DC 2001) p65

US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2006 DOT HS 810 818 (Washington DC Annual issues) tables 3 8 and 9 May 29 2008

Average length of haul

Safety

1980-2006 US Department of Transportation Bureau of Transportation Statistics special tabulation as of October 2008

Fuel consumed Average fuel consumption per vehicle Average miles traveled per gallon of fuel consumed and Average miles traveled per vehicle

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 IbidFederal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-1

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Expenditures ($ thousands) School bus1 486000 1219000 3833000 8031000 7847000 9889000 9082000 10353000 10326000 10340000 12104000 12624000 U U U U UOperating revenues ($ thousands) Intercity bus Class I2a 463100 721700 1397378 943268 1161479 1189235 985537 1080083 1074582 1326909 1133822 1117526 1120422 1345056 U U UOperating expenses ($ thousands)Intercity bus Class I2a 405400 639000 1318372 1026213 1289834 1253537 941014 1022680 1016208 1313900 1078386 1080186 1092596 1321407 U U UINVENTORYNumber of operating companiesIntercity bus Class I2a 143 71 61 31 26 24 20 22 20 18 15 15 16 36Number of vehicles all buses3 272129 377562 528789 626987 670423 685503 694781 697548 715540 728777 746125 749548 760717 776550 795274 807053 UNumber of employees4 (SIC based)Intercity and rural bus transportation 40500 43400 37900 26100 23600 23800 23800 22200 24400 23800 24700 25100 23000 N N N NSchool buses N N 79900 111200 125900 131100 132200 136500 141000 146100 146700 147700 148700 N N N NNumber of employees5 (NAICS based)Interurban and rural bus transportation 38200 40900 35800 24600 22300 22500 22500 21000 23000 22500 23400 23600 22800 (R) 21900 20100 20200 19600School and employee bus transportation N N 81400 114200 130000 135500 136900 141500 146200 151400 152000 153000 161100 (R) 164800 166600 168800 169600Charter bus industry N N 14800 26100 28300 29200 31000 32000 33900 36100 38200 36800 35500 (R) 33200 32200 31400 30300PERFORMANCEVehicle-miles all buses (millions)6 4346 4544 6059 5726 6409 6420 6538 6842 7007 7662 7590 7077 6845 6783 6801 6646 URural highway total 2332 2549 3035 3444 3730 3854 3933 4109 4251 4667 4489 4165 3941 3806 3691 3589 U

Interstate rural N 339 533 567 683 711 742 794 834 971 978 951 943 995 999 971 UOther arterial rural N 944 991 995 1154 1171 1186 1243 1282 1375 1270 1133 1104 1001 992 961 UOther rural N 1266 1511 1882 1893 1972 2005 2072 2135 2321 2241 2081 1894 1810 1700 1658 U

Urban highwayb total 2014 1995 3024 2283 2679 2566 2605 2733 2756 2995 3101 2912 2904 2977 3110 3057 UInterstate urban N 277 560 455 627 580 598 647 663 752 791 775 803 943 986 964 UOther urban N 1718 2464 1828 2052 1986 2007 2086 2093 2243 2310 2137 2101 2033 2124 2093 U

Passenger-miles (millions) all buses6 N N N 121398 135871 136104 138613 145060 148558 162445 160919 150042 145124 143801 144188 140910 UNumber of revenue passengers (thousands)Intercity bus total1 366000 401000 370000 334000 343200 366500 347900 350600 357600 358900 364600 356900 U U U U UAverage miles traveled per vehicle all buses6 15970 12035 11458 9133 9560 9365 9386 9809 9793 10515 10173 9442 8998 8734 8552 8235 UFuel consumed (million gallons) all buses6 827 820 1018 895 964 968 985 1027 1040 1148 1112 1026 1000 969 1360 1329 UAverage fuel consumption per vehicle (gallons) all buses6 3039 2172 1925 1427 1438 1412 1414 1472 1454 1576 1490 1369 1314

12481710 1647 U

Average miles traveled per gallon of fuel consumed all buses6 53 55 60 64 66 66 66 67 67 67 68 69 68

750 50 U

Average revenue per passenger-mile (cents) (intercity)1 271 360 726 1155 1161 1219 1230 1256 1275 1276 1279 1291 U U U U USAFETYNumber of fatalities7

School bus-related N N 150 115 107 123 136 131 128 167 147 141 129 138 130 134 USchool bus occupants N N 9 11 4 13 10 10 6 10 21 18 3 11 7 10 UOther vehicle

Occupants N N 88 64 64 72 101 97 91 127 99 95 100 99 90 87 UNonoccupants N N 53 40 39 38 25 24 31 30 27 28 26 28 33 37 U

Occupant fatalities all buses7 N N 46 32 21 33 21 18 38 59 22 34 45 41 42 58 27School buses N N 14 13 2 12 10 8 6 8 16 16 2 7 7 8 UCross country buses N N 23 2 7 6 3 5 13 32 3 3 20 3 23 33 UTransit buses N N 6 3 6 1 5 3 2 6 1 4 6 11 1 3 UOther and unknown N N 3 14 6 14 3 2 17 13 2 11 17 19 10 14 U

Fatalities in vehicular accidentsc all buses8 N N 390 340 286 311 367 339 329 373 (R) 357 (R) 331 (R) 331 (R) 337 (R) 315 (R) 340 331Occupant fatality ratePer 100 million vehicle-miles all buses6 7 N N 08 06 03 05 03 03 05 08 03 05 07 06 06 09 UPer 10000 registered vehicles all buses3 7 N N 09 05 03 05 03 03 05 08 03 05 06 05 05 07 UVehicle involvement rate (fatal crashes)Per 100 million vehicle-miles all buses6 8 N N 64 59 45 48 56 50 47 49 38 31 50 43 41 42 UPer 10000 registered vehicles all buses3 8 N N 74 54 43 45 53 49 46 52 39 29 45 37 35 35 U

b Urban consists of travel on all roads and streets in urban places of 5000 or greater population

a In 2003 the Federal Motor Carrier Safety Administration implemented a program to improve reporting by Class I intercity bus carriers This accounts for the large increase in the number of operating companies between 2002 and 2003 and as a result the large increase in operating revenues and expenses

5 1960-2006 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings from the Current Employment Statistics Survey Internet site httpwwwblsgovdatasahtm as of October 2007 NAICS codes 4852 Interurban and rural bus transportation 4854 School and employee bus transportation and 4855 Charter bus industry

NOTE

c Includes all fatalities that occurred in an accident in which a bus was involved

SOURCES

See transit profile for transit bus data

Bus Profile

8 Ibid Fatality Analysis Reporting System (FARS) Query Internet site httpwww-farsnhtsadotgov as of Dec 2007

Unless otherwise noted refer to chapter tables for source

7 1980-98 Ibid National Highway Traffic Safety Administration Traffic Safety Facts 1998 DOT HS 808 983 (Washington DC October 1999) tables 74 and 93 1999-2005 Ibid Traffic Safety Facts 2005 DOT HS 809 775 (Washington DC January 2007)

3 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MV-10

1 Eno Transportation Foundation Inc Transportation In America 19th edition (Washington DC 2002) p 40 46 and 482 1960-95 Interstate Commerce Commission Annual Report of the ICC (Washington DC Annual issues) Appendix F tables 1 and 6 1996-2002 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class I Motor Carriers of Passengers (Washington DC Annual issues) 2003 US Department of Transportation Federal Motor Carrier Safety Administration personal communication as of Feb 16 2005

6 1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1996-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

4 1960-2002 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings from the Current Employment Statistics Survey Internet site httpwwwblsgovdataarchivedhtm as of January 2005 SIC codes 413 Intercity and rural bus transportation and 415 School buses

KEY N = data do not exist R = revised U = data are not available

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Passenger operating revenues1 total ($ millions) 1407 1707 6510 16053 17968 18241 19151 19515 21062 22220 24243 25288 26632 28021 29718 31708 U

Operating revenues total 1407 1707 2805 6786 9027 9613 10345 10854 11654 11930 12963 12471 13251 14215 14735 15252 UPassenger fares total 1335 1639 2556 5891 6756 6801 7416 7546 7970 8282 8746 8891 8649 9149 9775 10269 U

Motor bus N N N 2967 3250 3287 3515 3558 3991 4175 4376 4357 4106 4270 4547 4764 UHeavy rail N N N 1741 1976 2018 2322 2351 2297 2323 2483 2533 2493 2654 2903 3007 ULight rail N N N 83 135 127 144 139 150 164 181 204 226 229 233 249 UTrolley bus N N N 46 55 54 55 57 55 60 60 60 59 54 55 57 UDemand responsive N N N 41 171 146 157 170 142 159 172 182 194 244 254 286 UFerryboata N N N 56 41 60 54 51 41 48 60 71 78 99 111 114 UCommuter rail N N N 952 1083 1078 1146 1178 1255 1309 1375 1439 1447 1552 1615 1728 UOtherb N N N 6 46 31 24 43 38 46 41 47 46 47 57 64 U

Other operating revenue 72 68 248 895 2271 2812 2928 3308 3685 3648 4217 3580 4602 5065 4960 4983 UOperating assistancec total N N 3705 9267 8941 8628 8807 8661 9408 10290 11280 12817 13382 13807 14983 16456 U

State and local N N 2611 8297 8026 7811 8210 8014 8656 9418 10286 11688 12063 12190 12898 14152 UFederal N N 1093 970 916 817 596 647 751 872 994 1130 1319 1616 2086 2303 U

Operating expenses2 total ($ millions) 1377 1996 6711 15742 17920 17849 18341 18936 19739 20512 22646 23517 24834 26852 28506 30295 UMotor bus N N N 8903 10144 10321 10575 10944 11429 11714 12966 13335 14066 15240 16022 16787 UHeavy rail N N N 3825 3786 3523 3402 3474 3530 3693 3931 4180 4268 4446 4734 5145 ULight rail N N N 237 413 376 442 473 500 546 606 682 778 815 887 978 UTrolley bus N N N 109 133 139 135 140 147 167 178 172 187 183 185 196 UDemand responsive N N N 518 943 1000 1187 1285 1405 1419 1805 1754 1949 2363 2524 2828 UFerryboata N N N 171 200 210 183 221 214 238 268 324 354 355 358 350 UCommuter rail N N N 1939 2228 2211 2294 2278 2361 2575 2685 2861 3003 3179 3442 3663 UOtherb N N N 41 73 69 124 122 153 160 206 208 229 (R) 270 353 348 U

Average passenger revenue per passenger-mile3 all modes ($) N N N 014 017 017 018 018 018 018 018 018 018 019 020 021 UMotor bus N N N 014 017 017 018 018 020 020 021 020 019 020 021 022 UHeavy rail N N N 015 019 019 020 019 019 018 018 018 018 020 020 021 ULight rail N N N 014 016 015 015 013 013 014 013 014 016 016 015 015 UTrolley bus N N N 024 029 029 030 030 030 032 031 032 032 030 032 033 UDemand responsive N N N 009 030 024 024 023 019 020 020 021 023 026 026 027 UFerryboata N N N 020 016 023 021 017 014 016 018 022 023 025 028 029 UCommuter rail N N N 013 014 013 014 015 014 015 015 015 015 016 017 018 UOtherb N N N 005 020 011 007 012 009 010 009 009 009 009 011 010 U

Average passenger fare per unlinked trip4 all modes ($) 014 022 030 067 085 087 093 089 091 090 093 092 089 097 102 102 UMotor bus N N N 052 062 066 070 070 074 074 077 074 070 072 075 078 UHeavy rail N N N 074 090 099 108 097 096 092 094 093 093 100 106 107 ULight rail N N N 047 066 050 055 053 054 056 057 061 067 068 067 065 UTrolley bus N N N 036 047 045 047 047 047 050 049 050 046 049 052 054 UDemand responsive N N N 060 204 226 221 183 149 159 164 173 187 214 217 222 UFerryboata N N N 111 087 131 112 099 080 091 113 132 136 150 169 169 UCommuter rail N N N 290 319 313 324 330 329 331 332 344 349 379 390 408 UOtherb N N N 090 128 157 133 066 102 076 066 075 077 091 104 102 U

Transit Profile

INVENTORYNumber of systemsd 5 total 1286 1096 1055 5078 5973 5973 5973 5975 6000 6000 6000 6000 6000 5804 6429 6429 U

Motor bus 1236 1075 1022 2685 2250 2250 2250 2250 2262 2262 2262 2264 2264 1982 1500 1500 UHeavy rail 31 15 11 12 14 14 14 14 14 14 14 14 14 14 14 15 ULight rail ~ ~ 9 17 22 22 22 22 23 24 25 26 27 27 29 29 UTrolley bus 19 6 5 5 5 5 5 5 5 5 5 5 5 4 4 4 UDemand responsive N N N 3193 5214 5214 5214 5214 5254 5252 5252 5251 5251 5346 5960 5960 UFerryboata N N 16 27 25 25 25 25 28 30 33 42 42 46 47 47 UCommuter rail N N 18 14 16 16 16 18 18 20 19 21 20 21 21 22 UOtherb N N 5 35 69 69 69 70 72 81 81 82 82 86 85 87 U

Number of vehicles 6 total 65292 61298 75388 93430 116416 116341 122750 126473 124048 128937 131241 134789 135107 138290 143822 150827 UMotor bus 49600 49700 59411 58714 68123 67107 71678 72770 72142 74228 75013 76075 76190 77328 81033 82027 UHeavy rail 9010 9286 9641 10567 10282 10166 10243 10228 10296 10362 10311 10718 10849 10754 10858 11110 ULight rail 2856 1262 1013 910 1051 1048 1114 1078 1076 1180 1327 1371 1448 1482 1622 1645 UTrolley bus 3826 1050 823 610 643 695 675 655 646 657 652 600 616 672 597 615 UDemand responsive N N N 16471 28729 29352 30804 32509 29646 31884 33080 34661 34699 35954 37078 41958 UFerryboata N N N 108 110 110 109 134 113 112 119 125 125 131 160 171 UCommuter raile N N 4500 4982 5126 5164 5240 5426 5536 5550 5498 5572 5724 5959 6228 6392 UOtherb N N N 1068 2352 2699 2887 3673 4593 4964 5241 5667 5456 6010 6246 6909 U

Number of employeesf 7 total 156400 138040 189300 262176 294087 300491 314944 320759 327752 337885 347841 357266 360722 (R) 337982 345871 345458 UMotor bus 121300 101598 N 162189 174373 181973 190152 196861 198644 204179 211095 214674 214825 205478 212122 217332 UHeavy rail 35100 36442 N 46102 51062 45644 45793 45935 45163 46311 47087 47865 48464 48327 47211 47806 ULight rail + + N 4066 5140 4935 5728 5940 6024 6058 6572 7021 7598 7619 8184 8181 UTrolley bus + + N 1925 1848 1871 2084 2037 2053 2140 2223 2008 2027 1964 1928 1942 UDemand responsive N N N 22740 35450 39882 44667 44029 48406 51186 52021 55846 56746 42935 43642 46624 UFerryboata N N N 2813 2764 2697 2830 3166 3894 4024 2682 4731 5336 5434 5862 5737 UCommuter rail N N N 21443 22596 22320 22604 21651 22488 22896 23518 23851 24391 24813 25296 25321 UOtherb N N N 898 854 1169 1086 1140 1080 1091 2643 1270 1335 (R) 1414 1626 1516 U

PERFORMANCEVehicle-miles8 total (millions) 2143 1883 2287 3242 3468 3550 3650 3746 3794 3972 4081 4196 4277 4363 4471 4601 U

Motor bus 1576 1409 1677 2130 2162 2184 2221 2245 2175 2276 2315 2377 2411 2421 2471 2485 UHeavy rail 391 407 385 537 532 537 543 558 566 578 595 608 621 630 642 646 ULight rail 75 34 18 24 34 35 38 41 44 49 53 54 61 64 67 69 UTrolley bus 101 33 13 14 14 14 14 14 14 14 15 13 14 14 13 13 UDemand responsive N N N 306 464 507 548 585 671 718 759 789 803 864 890 978 UFerryboata N N 2 2 2 3 3 3 3 3 3 3 3 4 4 4 UCommuter rail N N 179 213 231 238 242 251 260 266 271 277 284 286 295 303 UOtherb N N 13 16 30 34 42 49 63 69 71 75 80 81 88 103 U

Unlinked passenger trips9 total (millions) N 7332 8567 8799 7949 7763 7948 8374 8750 9168 9363 9653 9623 9434 9575 9815 UMotor bus N 5034 5837 5677 4871 4848 4887 5013 5399 5648 5678 5849 5868 5692 5731 5855 UHeavy rail N 1881 2108 2346 2169 2033 2157 2430 2393 2521 2632 2728 2688 2667 2748 2808 ULight rail N 124 133 175 284 251 261 262 276 292 320 336 337 338 350 381 UTrolley bus N 182 142 126 118 119 117 121 117 120 122 119 116 109 106 107 UDemand responsive N N N 68 88 88 93 99 95 100 105 105 103 111 114 125 UFerryboata N N 63 50 47 47 48 51 52 53 53 54 57 66 65 66 UCommuter rail N N 280 328 339 344 352 357 381 396 413 419 414 410 414 423 UOtherb N N 4 29 33 33 33 41 37 38 40 43 40 43 47 51 U

Passenger-miles10 total (millions) N N 39854 41143 39585 39808 41378 42339 44128 45857 47666 49070 48324 47903 49073 49678 UMotor bus N N 21790 20981 18832 18818 19096 19604 20360 21205 21241 22022 21841 21262 21377 21825 UHeavy rail N N 10558 11475 10668 10559 11530 12056 12284 12902 13844 14178 13663 13606 14354 14418 ULight rail N N 381 571 833 860 957 1035 1128 1206 1356 1437 1432 1476 1576 1700 UTrolley bus N N 219 193 187 187 184 189 182 186 192 187 188 176 173 173 UDemand responsive N N N 431 577 607 656 754 735 813 839 855 853 930 962 1068 UFerryboata N N N 286 260 260 256 294 294 310 330 325 333 394 393 394 UCommuter rail N N 6516 7082 7996 8244 8351 8038 8704 8766 9402 9548 9504 9559 9719 9473 UOtherb N N 390 124 232 273 348 369 441 469 462 518 510 499 518 639 U

Average trip length11 all modes (miles) N N N N 5 5 5 5 5 5 5 5 5 5 5 5 UMotor bus N N N N 4 4 4 4 4 4 4 4 4 4 4 4 UHeavy rail N N N N 5 5 5 5 5 5 5 5 5 5 5 5 ULight rail N N N N 4 3 4 4 4 4 4 4 4 4 5 5 UTrolley bus N N N N 2 2 2 2 2 2 2 2 2 2 2 2 UDemand responsive N N N N 7 8 9 10 8 8 8 8 8 8 9 9 UFerryboata N N N N 6 6 5 6 6 6 6 6 6 6 6 6 UCommuter rail N N N N 24 24 24 23 23 22 23 23 23 23 24 22 UVanpool N N N N 32 35 34 33 36 34 35 33 37 33 31 34 UOtherg N N N N 1 1 1 1 1 1 1 1 1 1 1 1 U

Average vehicle speed12 all modes (miles per hour) N N N N 15 15 15 15 15 15 15 15 15 15 15 15 UMotor bus N N N N 13 13 13 13 13 13 13 13 13 13 13 13 UHeavy rail N N N N 21 21 21 21 21 21 21 20 20 21 20 20 ULight rail N N N N 14 14 14 16 16 15 15 15 15 16 16 15 UTrolley bus N N N N 8 8 8 8 8 7 7 7 7 7 8 7 UDemand responsive N N N N 14 15 15 15 17 15 15 15 15 15 14 15 UFerryboata N N N N 8 6 7 7 8 8 8 8 8 9 8 8 UCommuter rail N N N N 34 34 33 34 32 33 29 32 32 32 32 32 UVanpool N N N N 33 35 37 36 37 38 31 39 38 33 38 38 UOtherg N N N N 6 6 7 7 7 7 8 8 8 7 6 7 U

Energy consumption diesel13 total (million gallons) 208 271 431 651 678 678 693 717 740 763 786 745 725 713 731 730 UMotor bus N N N 563 565 564 578 598 607 618 635 587 559 539 550 534 UHeavy rail NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA ULight rail NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UTrolley bus NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UDemand responsive N N N 15 30 29 31 32 38 43 48 55 62 70 73 82 UFerryboata N N N 20 21 22 22 24 25 29 32 30 31 32 35 37 UCommuter rail N N N 53 62 63 62 63 69 73 71 72 73 72 72 77 UOtherb N N N lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 U

Energy consumption other14 total (million gallons) 192 69 11 34 65 71 76 83 90 93 103 112 132 146 165 181 UGasoline and other nondiesel fuelsh 192 68 11 33 60 61 61 59 53 49 48 46 51 46 53 58 UCompressed natural gas U U U U 5 11 15 24 37 44 55 66 81 100 112 123 U

Energy consumption electric power15 total (million kWh) 2908 2561 2446 4837 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 UMotor bus NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UHeavy rail N N N 3284 3431 3401 3332 3253 3280 3385 3549 3646 3683 3632 3684 3769 ULight rail N N N 239 282 288 321 361 381 416 463 487 510 507 553 571 UTrolley bus N N N 69 103 100 69 78 74 75 77 74 73 69 68 67 UDemand responsive NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UFerryboata NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UCommuter rail N N N 1226 1244 1253 1255 1270 1299 1322 1370 1354 1334 1383 1449 1484 UOtherb N N N 19 21 26 30 26 39 39 51 49 49 51 72 63 U

SAFETYk

Fatalities all modes16 N N N 339 320 274 264 275 286 299 295 267 280 234 248 236 213Transit highway-rail grade crossing fatalitiesl 17 N N N N N 17 7 12 26 21 20 13 24 21 29 23 21Other transit fatalities N N N N N 257 257 263 260 278 275 254 256 213 219 213 192

Injured persons all modesi 16 N N N 54556 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 18327Transit highway-rail grade crossing injuriesl 17 N N N N N 195 184 126 58 159 123 74 108 117 153 194 172Other transit injuries N N N N N 57001 55104 56006 55932 55166 56574 53871 19152 18118 18829 17937 18155

Incidents all modes16 N N N 90163 70693 62471 59392 61561 60094 58703 59898 58149 30331 19797 20939 21016 22275Transit highway-rail grade crossing incidentsl 17 N N N N N 127 134 119 106 140 148 101 398 276 311 504 131Other transit incidents N N N N N 62344 59258 61442 59988 58563 59750 58048 29933 19521 20628 20512 22144Major incidentsj

N N N N N N N N N N N N 2282 1913 2515 U U

KEY ~ = included in heavy rail figure + = included in motor bus figure kWh = kilowatt hours N = data do not exist NA = not applicable P = preliminary R = revised U = data are not available

a Excludes international rural rural interstate island and urban park ferriesb Includes cable car inclined plane aerial tramway monorail vanpool and automated guideway

Unless otherwise noted refer to chapter tables for sources

c Beginning in 1992 local operating assistance and other revenue declined by about $500 million due to change in accounting procedures at the New York City Transit Authority Beginning in 1992 total operating expense declined by about $400 million due to a change in accounting procedures at the New York City Transit Authorityd The total figure represents the number of transit agencies It is not the sum of all modes since many agencies operate more than one modee Includes locomotives which make up roughly 10 percent of commuter rail vehiclesf Based on employee equivalents of 2080 hours equals one employee beginning in 1993 based on number of actual employees g Includes cable car inclined plane aerial tramway monorail and automated guidewayh Liquefied natural gas liquefied petroleum gas methanol propane and other nondiesel fuels except compressed natural gasi Beginning in 2002 the Federal Transit Administration changed the reporting threshold for injuries Before 2002 essentially all injuries had to be reported to the National Transit Database Beginning in 2002 only those injuries requiring immediate medical attention away from the scene of the incident are required to be reported j In 2002 the Federal Transit Administration defined major incidents as safety andor security incidents resulting in a fatality two or more injuries transported for immediate medtreatment property damage exceeding $25000 (all property) main-line derailments evacuations due to life safety grade crossing collisions with injury or $7500 damage or rail transit vehicle collisions resulting in one or more injurieskThese data are for motor bus commuter rail heavy rail light rail automated guideway demand response and vanpooll Transit highway-rail grade crossing fatalities injuries and incidents are the result of public transit rail mode operations excluding commuter rail Almost all transit highway-rail crossings are light rail crossings The heavy rail system in Chicago has 5 crossings For the most part heavy rail operates on rights-of-way that do not include crossings

SOURCES

1 American Public Transit Association Public Transportation Fact Book 2007 (Washington DC 2007) tables 50 52 66 and similar tables in earlier years

2 Ibid tables 48 66 and similar tables in earlier years3 Ibid tables 10 48 76 and similar tables in earlier years4 Ibid table 49 and similar tables in earlier years5 Ibid table 2 and similar tables for prior years6 Ibid tables 17 66 and similar tables in earlier years7 Ibid tables 22 66 and similar tables in earlier years8 Ibid tables 11 66 and similar tables in earlier years9 Ibid tables 6 66 and similar tables in earlier years10 Ibid tables 7 66 and similar tables in earlier years11 Ibid table 9 and similar tables in earlier years

16 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (previously Safety Management Information Statistics - SAMIS) Internet site httptransit-safetyvolpedotgovDatasamisdefaultasp Sept 27 2007

12 Ibid 13 and similar tables in earlier years

17 US Department of Transportation Federal Transit Administration Office of Program Management personal communication as of Sept 5 2007

15 Ibid table 26 and similar tables in earlier years

14 Ibid table 28 and similar tables in earlier years

13 Ibid table 27 and similar tables in earlier years

FINANCIAL 1960 1970f 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Class I a1

Operating revenues total ($ millions) 9514 11992 28258 28370 30809 32280 32693 33118 33151 33521 34102 34576 35327 36639 40517 46118 52152Passenger 640 421 446 94 88 89 59 60 61 61 62 62 61 62 63 65 70Freight 8025 10922 26350 27471 29931 31356 31889 32322 32247 32680 33083 33533 34110 35413 39131 44457 50315Other 849 649 1462 805 790 835 745 736 843 780 957 981 1155 1164 1323 1597 1767

Operating expenses ($ millions)b 8775 11478 26355 24652 25511 27897 26331 27291 27916 28011 29040 29164 29592 31440 35107 37843 40980Amtrakc2

Total revenue ($ millions) N 162 429 1308 1413 1490 1550 1669 2244 2011 2111 2109 2228 (R) 1994 (R) 1865 1886 2042Total expenses ($ millions) N 301 1103 2012 2246 2257 2258 2359 2548 2660 2876 3288 3224 (R) 3100 (R) 2950 2940 3005INVENTORYClass Ia 1

Number of vehicles total (R) 1994517 (R) 1811258 (R) 1738921 (R) 1231096 (R) 1210917 (R) 1237739 (R) 1259842 (R) 1290103 (R) 1335928 (R) 1389092 (R) 1400824 (R) 1333881 (R) 1320176 (R) 1299751 (R) 1309935 1335024 1370239Class I freight cars 1658292 1423921 1168114 658902 590930 583486 570865 568493 575604 579140 560154 499860 477751 467063 473773 474839 475415Other nonclass I freight cars 307194 360260 542713 553359 601482 635441 669708 701926 740063 789696 820642 814276 821919 811917 814147 837406 871092Number of Locomotives 29031 27077 28094 18835 18505 18812 19269 19684 20261 20256 20028 19745 20506 20771 22015 22779 23732

Number of companies 106 71 38 14 12 11 10 9 9 9 8 8 7 7 7 7 7Number of employees 780494 566282 458994 216424 189962 188215 181809 177981 178222 177557 168360 162155 157372 154652 157699 162438 167581Miles of road owned 207334 196479 164822 119758 109332 108264 105779 102128 100570 99430 99250 (R) 97817 (R) 100125 (R) 99126 (R) 97662 95830 94614AmtrakNumber of passenger vehicles3

Train-cars N 1569 2128 1863 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186 1191Locomotives N 185 419 318 338 313 299 332 345 329 378 401 372 442 276 258 319

Number of employees4 N 1500 21416 24000 25049 23646 23278 23555 24528 25291 25624 27316 22649 20905 20938 19234 18659System route mileage5 N N 24000 24000 25000 24000 25000 25000 22000 23000 23000 23000 23000 22675 22256 22007 21708PERFORMANCE Class Ia

Car mileage freight (thousands)1 28170000 29890000 29277000 26159000 28485000 30383000 31715000 31660000 32657000 33851000 34590000 34243000 34680000 35555000 37071000 37712000 38955000Train mileage freight (thousands)1 404464 427065 428498 379582 440896 458271 468792 474954 474947 490442 504001 499546 499668 515999 534696 547566 562607Locomotive mileage total (thousands)6 N N 1531050 1280365 1404706 1444691 1465149 1423229 1439703 1503947 1502819 1477546 1443531 1484074 1538385 U U

Freight 421900 1278200 1319010 1144559 1261482 1293851 1311351 1281768 1285706 1349580 1354590 1327669 1300574 1353885 1398450 U UTrain and yard switching N N 212040 135806 143224 150840 153798 141461 153997 154367 148229 149876 142957 130190 139935 U U

Revenue ton-miles of freight (millions)1 572309 764809 918958 1033969 1200701 1305688 1355975 1348926 1376802 1433461 1465960 1495472 1507011 1551438 1662598 1696425 1771897Average length of haul freight (miles)1 461 515 616 726 817 843 842 851 835 835 843 859 853 862 902 894 906Fuel consumed in freight service (million gallons)1 3463 3545 3904 3115 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 4192Average miles traveled per vehicle

Car 14124 16502 16836 21249 23523 24547 25174 24541 24445 24369 24693 25672 26269 27355 28300 28248 28429Locomotive N N 54497 67978 75910 76796 76037 72304 71058 74247 75036 74831 70396 71449 69879 U U

Average miles traveled per gallonCar 813 843 750 840 854 873 886 886 911 911 935 923 930 929 913 920 929Train 012 012 011 012 013 013 013 013 013 013 014 013 013 013 013 013 013

AmtrakPassenger train car-miles (millions)7 N 213 235 301 304 292 276 288 312 342 371 378 379 332 308 265 264Passenger train-miles (millions)2 N 26 30 33 34 32 30 32 33 34 35 36 38 37 37 36 36Passenger locomotive-miles (millions)2 N N 41 49 51 48 U U U U U U U U U U URevenue passengers carried (millions)2 N 17 21 22 21 21 20 20 21 22 23 24 23 25 25 25 25Revenue passenger-miles (millions)2 N 3039 4503 6057 5921 5545 5050 5166 5304 5330 5498 5559 5314 5680 5511 5381 5410Average passenger fare (dollars)2 N 830 1772 3850 3910 3992 4331 4526 4475 4685 4961 5158 5605 5778 5681 5829 6543Average passenger revenue passenger-mile (cents)2 N 45 82 141 140 149 169 177 178 189 203 218 245 250 260 2716 2969Average passenger trip length (miles)2 N 1826 2170 2730 2793 2679 2563 2557 2514 2479 2444 2366 2284 2309 2186 2146 2204Locomotive fuel consumed8

Diesel (million gallons) N N 64 82 75 66 71 75 75 74 76 75 86 78 70 68 UElectric kWh (millions) N N 254 330 309 304 293 282 275 283 350 377 593 666 648 500 U

Rail Profile

SAFETY d9

Number of fatalities railroads and grade crossings total 2345 2331 1424 1300 1226 1146 1039 1063 1008 932 937 971 951 (R) 868 (R) 895 887 910Passengers on Trains 34 10 4 3 5 0 12 6 4 14 4 3 7 3 3 16 2 Employees on duty 215 179 97 40 31 34 33 37 27 31 24 22 20 19 25 25 16 Employees not on duty N N 4 0 0 2 0 0 2 0 1 0 1 1 0 0 0 Trespassers 637 607 566 700 682 660 620 646 644 570 570 673 646 634 (R) 621 600 665 Nontrespassers 1459 1535 746 554 505 443 365 363 326 305 (R) 335 269 (R) 267 (R) 206 (R) 242 241 220 Contractor employees N N 7 3 3 7 9 11 5 12 3 4 10 5 4 5 7

Grade crossing only 1421 1440 772 698 615 579 488 461 431 402 425 421 357 334 (R) 372 358 369Railroad onlye 924 785 645 599 611 567 551 602 577 530 512 550 594 (R) 534 (R) 523 529 541

9 1960-80 US Department of Transportation Federal Railroad Administration Systems Support Division RRS-22 personal communication 1990-94 Ibid Accident Incident Bulletin (Washington DC Annual issues) tables 7 and 9 1995-2005 Ibid Interim Railroad Safety Statistics Annual Report 2005 (Washington DC 2005) table 1-3 and similar tables in earlier editions 2006 Ibid Office of Safety Analysis table 408 at httpsafetydatafradotgovOfficeofSafetyDefaultasp as of Dec 12 2007

f Amtrak data in this column are for 1972 Amtraks first full year of operation

NOTE Amtrak figures are based on Amtrak fiscal year (October 1-September 30)

SOURCES (Unless otherwise noted refer to chapter tables for sources)

1 Association of American Railroads Railroad Facts 2006 (Washington DC 2004) pp 3 9 10 27 33 34 36 40 49 52 77 and similar pages in earlier issues

5 1980-90 Amtrak Route Miles by Railroad Corp Planning amp Development 1994-2001 Amtrak National Railroad Passenger Corporation Annual Report Statistical Appendix to Amtrak Annual Report Annual issues 2002-05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 776 1980-2001 Association of American Railroads Analysis of Class 1 Railroads (Washington DC Annual issues) 2002-04 Ibid Railroad Ten-Year Trends (Washington DC 2005) pp 119 and 121 personal communication Feb 16 2005

7 1970-90 Amtrak Train Information System Reports 1994-99 Amtrak Corporate Reporting Route Profitability System Washington DC personal communication August 2001 2000-05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier issues

8 Amtrak General Accounting Pennsylvania personal communication June 1999 2002-05 Amtrak personal communications Dec 9 2005 and Dec 19 2007

2 1970-2006 Amtrak National Railroad Passenger Corporation Annual Report Statistical Appendix to Amtrak Annual Report Annual issues3 1970-80 Amtrak National Railroad Passenger Corporation Annual Report 1972 1980 1990 and 1993-95 1990-2000 Ibid National Railroad Passenger Corporation Annual Report Statistical Appendix to Amtrak Annual Report Annual issues 2001-05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p774 1970-90 Amtrak Public Affairs personal communication 1994-1997 Ibid National Railroad Passenger Corporation Annual Report 1972 1980 1990 and 1993-95 1998-2005 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier issues

c Data for 2003 indicates operating revenues and expenses instead of total revenues and expenses the data source has changedd Safety figures from US Department of Transportation Federal Railroad Administration are for all railroadse Figures may not appear directly in data source

KEY kWh = kilowatt-hour N = data do not exist R = revised U = data are not available

a Excluding Amtrak and all non-Class I railroads except for Section IVb Operating expenses include equipment joint facility rents leased roads and equipment and all taxes except Federal income

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues ($ millions)1

Domestic freight total 1722 2070 7219 7940 7745 7712 7283 6940 6824 6795 6930 6235 U U U U UCoastal waterways 747 834 3155 3066 2929 2774 2571 2169 1952 1828 1817 1784 U U U U UInland waterways 461 621 2395 2956 2868 2964 2861 2899 2904 2811 2960 2894 U U U U UGreat Lakes 227 239 513 615 577 585 572 615 610 549 556 486 U U U U ULocks channels 287 376 1156 1303 1371 1389 1279 1257 1358 1607 1597 1071 U U U U U

International freighta 1765 3187 8279 12181 13405 14997 17281 14091 15679 17699 21740 21397 U U U U UPassenger total 281 287 310 1391 1564 1716 1843 1974 2029 2088 4663 4187 U U U U U

Domestic passenger intercity 14 12 27 100 121 129 140 141 146 152 156 144 U U U U UInternational passengerb 267 275 283 1291 1443 2026 1703 1833 1883 1936 4507 4043 U U U U U

Revenues of US commercial fishing fleet-domestic landings ($ millions)2 354 613 2237 3522 3809 3770 3487 3448 3128 3467 3549 3228 3092 (R) 3348 3756 3942 3993INVENTORYNumber of domestic inland vessel operatorsc 3 228 380 403 565 555 557 554 U U U U U U U U U UNumber of employees4

Ships boat building and repairingd 141200 171800 220500 187700 158200 159600 158800 158300 166600 167400 167900 161100 146810 145350 149160 153170 152650Water transportationd N 212300 211200 176600 172400 174500 174100 178700 181300 185500 193900 192400 145370 145400 145340 154980 160160Number of employeese f total5 49281 35000 19218 12132 11324 10303 9250 8937 8956 9036 U U U U U U U

Passenger combo 8560 2178 618 642 642 642 321 321 321 321 U U U U U U UCargo 28668 22257 9878 7019 6056 5400 4964 4831 4924 4757 U U U U U U UTankers 12053 10567 8722 4471 4626 4261 3965 3785 3711 3958 U U U U U U U

Mileage of commercially navigable channels1 25000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 U U U U UNumber of vessels6

Total nonself-propelled 16777 19377 31662 31017 30723 31360 32811 33011 33509 33387 33152 33042 32381 31335 31296 32052 UDry cargo barges and scows 14025 15890 27426 27091 26723 27342 28743 29006 29526 29383 29107 28888 28281 27272 27197 27876 UTankers 2429 3281 4166 3913 3966 3985 4036 3971 3952 3973 4011 4122 4068 4031 4069 4151 URailroad car floats 323 206 70 13 34 33 32 34 31 31 34 32 32 32 30 25 U

Total self-propelled 6519 6447 7126 8236 8334 8281 8293 8408 8523 8379 8202 8546 8621 8648 8994 8976 UDry cargo passenger 1796 1761 2036 2678 2785 2804 2782 2905 2938 2910 2780 2697 2738 2765 2948 2967 UFerries railroad car 31 17 67 135 175 172 173 183 213 229 292 579 595 607 629 619 UTankers 489 421 330 213 195 178 161 147 135 142 135 120 108 104 103 100 UTowboats tugs 4203 4248 4693 5210 5179 5127 5177 5173 5237 5098 4995 5150 5180 5172 5314 5290 U

US merchant marine ships (over 1000 gross tons)Total U S flag7 2926 1579 864 636 543 509 495 477 470 463 454 443 426 (R) 418 412 U U

Passenger cargo 309 171 65 10 13 13 15 14 12 11 11 13 12 (R) 15 18 U UFreightersg 2138 1076 471 367 308 295 292 288 289 284 286 283 276 (R) 209 205 U UBulk carriers 57 38 20 26 22 20 15 14 15 14 15 17 18 (R) 20 20 U UTankers 422 294 308 233 200 181 173 161 154 154 142 130 120 (R) 109 104 U UPrivately owned 1008 U 578 408 354 319 302 285 281 277 U U U U U U UGovernment owned 1918 U 286 228 189 190 193 192 189 186 U U U U U U U

Number of recreational boats (thousands)h8 2500 7400 8578 10996 11430 11735 11878 12313 12566 12738 12782 12876 12854 12795 12781 12942 12746

Water Transport Profile

PERFORMANCETon-miles (thousands)i 9

Domestic water freight total N 596195000 921835800 833543800 814919200 807727700 764686500 707409900 672795300 655861500 645799300 621686200 612080500 606146300 621170 591277 UCoastwise N 359784000 631149200 479133600 457600700 440345100 408086100 349843000 314863900 292730000 283871600 274558800 263688200 278918700 279857 263464 UInternal N 155816000 227343000 292393300 297762400 306329100 296790600 294023000 294896400 304724100 302558400 294860900 293410300 278352300 284096 274367 ULakewise N 79416000 61747100 60929900 58263400 59703800 58335300 62165900 61654300 57045200 57879100 50853500 53652900 47539400 55733 51924 UIntraport N 1179000 1596400 1087000 1292700 1349600 1474500 1378100 1380700 1362200 1490200 1413000 1329000 1335900 1484 1521 U

Tons of freight hauled (thousands) 9

Domestic total 760573 950727 1077483 1122299 1099011 1093035 1100679 1112527 1094112 1061787 1069798 1042472 1021001 1016136 1047088 1028910 UCoastwise 209197 238440 329609 298637 277029 266612 267389 263146 249633 228802 226938 223606 216396 223458 220557 213668 UInternal 291057 472123 534979 622595 618409 620324 622081 630558 625028 624575 628445 619784 608038 609598 626598 623980 ULakewise 155109 157059 115124 110159 114777 116127 114870 122734 122156 113887 114352 100002 101466 89776 103533 96226 UIntraport 104193 81475 94184 86378 82870 83104 89011 89816 90077 88650 94558 93222 90004 86909 91267 90166 UIntraterritory 1017 1630 3588 4529 5926 6868 7327 6273 7217 5873 5505 5858 5097 6395 5484 4871 U

Exports total 127961 241629 403883 441586 396246 474700 450794 432313 404708 399996 415042 399011 384350 373324 415786 401827 UGreat Lakes ports 23150 35932 45077 32898 27108 32968 31855 33209 36876 40233 40131 40519 38066 32943 36090 37291 UCoastal ports 104810 205698 358806 408688 369138 441732 418940 399104 367831 359763 374911 358491 346284 340381 379697 364536 U

Imports total 211316 339340 517521 599970 719497 672657 732592 788303 840680 860775 939749 951815 934941 1004791 1089065 1096885 UGreat Lakes ports 12851 26406 15515 17558 23028 18897 24503 24532 25558 22196 23917 21391 21548 23336 26086 24114 UCoastal ports 198466 312934 502006 582412 696469 653760 708090 763771 815122 838579 915832 929794 929794 981455 1062979 1072771 U

Average haul domestic system (miles)i 9

Coastwise 1496 1509 1915 1604 1652 1652 1526 1330 1261 1279 1251 1228 1219 1248 1269 1233 UInternal 282 330 405 470 482 494 477 466 472 488 481 476 483 457 454 440 ULakewise 522 506 536 553 508 514 508 507 505 501 506 509 529 530 538 540 U

Cargo capacity (short tons)6

Total nonself-propelled vessels 16355657 24026024 44875116 (R) 49066020 49708960 (R) 51254259 54086973 54974961 55999952 56468065 56581364 57341226 56721816 55053776 55527696 57035748 UDry cargo barges 12147006 17695275 34486851 38189490 38643518 39971443 42748644 43710093 44718691 45049209 44814696 45281492 44688157 43094911 43282387 44777151 UTankers 4208651 6330749 10388265 10757295 11065442 11169087 11338329 11264868 11281261 11418856 11678593 11957598 11925863 11860144 12158254 12172542 U

Total self-propelled vessels 15905881 19284050 23906346 19829011 16867458 15783399 14850253 14161739 12970167 13892574 13458519 12770889 12093812 11804878 12546796 12342584 UDry cargo passenger 12188956 10815977 8011587 7147054 7118193 6484707 6208011 6685719 6371425 6928684 6740153 6544807 6452715 6570281 7293500 6614973 UTankers 3716925 8468073 15894753 12681957 9749265 9298692 8642242 7476020 6598742 6963890 6718366 6226082 5641097 5234597 5253396 5727512 U

Fuel consumption (thousand barrels) total1 122014 123591 273380 232036 210650 225470 213721 187729 183856 208604 233227 U U U U U UDiesel fuel and distillate 18730 19503 35201 52310 48260 47098 51848 50180 50609 49157 53843 U U U U U UResidual fuel oil 94084 89850 213131 148764 141544 153125 138214 114044 110480 133301 152616 U U U U U UGasoline 9200 14238 25048 30962 20846 25247 23659 23505 22767 26146 26768 U U U U U U

SAFETYFatalities in waterborne transport (vessel casualties only) totalj10 N 178 206 85 77 52 55 48 67 51 45 31 61 54 48 45 48

Freight ship N 30 8 0 0 0 1 2 2 0 0 1 3 3 8 2 1Tank ship N 4 4 5 3 0 0 0 1 0 0 0 0 0 3 0 0Passenger vessel N 1 5 3 4 4 8 1 3 14 0 3 6 29 9 6 3Tug towboat N 22 14 13 1 1 1 3 0 5 0 4 8 0 1 10 6Offshore supply N N N 2 1 2 2 0 6 0 2 0 0 0 0 0 0Fishing vessel N 77 60 47 48 23 37 22 33 23 28 9 15 14 16 16 19Recreational vessel N N N 3 13 22 3 7 7 5 10 12 14 1 7 9 12MODU k N N N 0 0 0 0 4 0 0 0 1 0 2 1 0 1Platform N N N 1 U U U U U 0 0 0 0 U U U UFreight barge N N N 0 2 0 0 2 1 0 1 0 0 0 1 1 2Tank barge N N N 0 0 0 0 0 0 1 0 1 0 2 0 0 0Miscellaneous N 44 56 11 5 0 3 7 14 3 4 0 2 0 0 1 2

Injuries in waterborne transport totalj10 N 105 180 175 180 152 229 119 130 136 131 185 187 255 228 140 177Freight ship N 14 8 10 6 1 7 3 3 2 4 2 7 12 7 12 19Tank ship N 19 9 13 10 8 1 5 6 5 3 3 0 3 7 3 2Passenger vessel N 10 10 51 43 47 142 36 39 71 50 109 57 140 81 58 63Tug towboat N 10 27 19 19 19 16 21 12 13 10 18 17 12 27 20 22Offshore supply N N N 9 2 10 7 3 5 1 5 13 0 5 5 1 6Fishing vessel N 13 28 31 55 41 36 25 35 19 24 15 41 29 37 29 33Recreational vessel N N N 2 17 20 9 6 9 11 26 15 14 11 37 8 13MODU k N N N 13 0 0 0 3 0 2 0 3 0 19 3 2 2Platform N N N 9 U U U U U 1 1 0 0 U U U UFreight barge N N N 3 4 0 0 5 1 0 2 0 0 0 4 0 0Tank barge N N N 3 3 5 2 0 0 2 0 2 0 2 3 1 0Miscellaneous N N 98 12 21 1 9 12 20 9 6 5 9 14 7 3 6

Fatalities in recreational boating (vessel casualties only) total 8 739 1418 1360 865 748 829 709 821 815 734 701 681 750 703 676 697 710

Air thrust N N N N N 4 1 6 11 2 4 2 1 6 4 3 3Propeller N N N N N 475 363 436 462 421 439 326 506 421 433 355 438

Inboard N 119 100 50 36 N N N N 50 48 34 60 40 39 24 39Outboard N 774 609 454 341 N N N N 326 328 245 372 320 322 259 301Inboard outboard N 28 47 53 49 N N N N 35 49 32 47 47 43 61 69

Jet N N 10 25 58 68 61 83 82 75 70 45 75 66 65 72 74Sail N 44 43 20 13 4 8 15 5 7 14 19 3 7 11 21 11Manual (oars paddle) N 205 272 182 140 148 109 150 151 114 137 144 107 113 130 134 135Other N 29 14 5 12 8 8 10 0 0 0 0 0 0 0 1 1Propulsion unknown N 219 265 76 135 122 159 121 104 115 37 145 58 90 33 111 48

KEY N = data do not exist R = revised U = data are not available

c Does not include vessel operators whose primary area of operation is fishing towing passenger transport ferrying or crew boat utility service

a The international water freight operating revenues data was revised in Transportation in America 1998 for all years except 1994 and 1996 Therefore the international water freight data for years 1994 and 1996 may not be comparable to other yearsb Revenues paid by American travelers to US and foreign flag carriers

d Data for 2002 is based on new NAICS classifications and therefore comparisons between 2002 data and data for prior years may be misleading Prior to 2002 water transportation was calculated based on SIC classifications and included commercial port marina and other employees excluding employees of not-for-hire private businesses Data for water transportation in 2002 includes NAICS categories 483100 483200 488300 Data for ships boat building and repairing is based on the NAICS category 336600

e Estimate based on established active jobs for licensed and unlicensed personnel aboard oceangoing ships of 1000 gross-tons and over privately owned and operated government-owned ships under bare boat charters ship managers and General Agency Agreement supplemented by Military Sealift Command employment totals for ships with Civil Service crewsf Data is current as of January 1 of the following year with the exception of 1999 data which is current as of Apr 1 1999 Due to a change in the sources periodicity the data for 1999 is not comparable to the data from years prior to 1999g Freighters data include bulk carriers prior to calendar year 1983h The US Coast Guard changed its methodology for counting the number of recreational boats Figures cited represent number of numbered boats not estimates as previously noted for 1960 and 1970i Does not include intraterritorial traffic (traffic between ports in Puerto Rico and the Virgin Islands which are considered a single unit)j 1992-2002 data come from the Marine Safety Management Information System Data for prior years may not be directly comparable Beginning in 2000 numbers may not add to totals because data is now recorded in a new information system known as MISLE which does not associate every fatality and injury with a specific vessel k Mobile Offshore Drilling Units

SOURCESUnless otherwise noted refer to chapter tables for sources

1 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 38 40 51 and 58

10 1970-A321990 US Coast Guard Office of Investigations and Analysis G-MAO-2 personal communication 1994-2006 Ibid Data Administration Division (G-MRI-1) personal communication Feb 13 2002 July 2 2003 and August 29 2007

2 US Department of Commerce National Marine Fisheries Services Fisheries of the United States (Silver Spring MD Annual issues) p 4 and similar pages in earlier editions3 US Department of Transportation Maritime Administration MAR-450 personal communication4 1960-1990 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-1994 (Washington DC September 1994) and 1988-1996 (Washington DC August 1996) SICs 373 and 44 1994-2006 Ibid Internet website httpwwwblsgov as of November 2007 5 US Department of Transportation Maritime Administration US Merchant Marine Data Sheet (Washington DC Annual issues)6 1960-1998 US Army Corps of Engineers Summary of US Flag Passenger amp Cargo Vessels (New Orleans LA Annual issues) 1999-2005 Ibid Waterborne Transportation Lines of the United States (New Orleans LA Annual issues) part 1 section 1 table 1 and 27 US Department of Transportation Maritime Administration Merchant Fleets of the World (Washington DC Annual issues) and unpublished revisions8 US Coast Guard Boating Statistics (Washington DC Annual issues)9 US Army Corps of Engineers Waterborne Commerce of the United States (New Orleans LA Annual issues) part 5 section 1 tables 2 3 and 4

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues total ($ millions) 1 895 1396 7548 8506 8676 9077 8637 8632 8579 9067 8958 9066 U U U U U

FERC-regulated 770 1188 6340 7164 7353 7751 7310 7278 7212 7645 7551 7649 U U U U UNonregulated 125 208 1208 1342 1323 1326 1327 1354 1367 1422 1407 1417 U U U U U

INVENTORYNumber of FERC-regulated companies 2 87 101 130 150 158 161 160 U U 184 U U U 195 195 197 UNumber of employees pipeline companies a 3 23100 17600 21300 18500 17100 15100 14500 14200 13800 13060 13230 13680 12360 12500 12840 13040 12770Miles of pipeline (statute miles)b all lines 4 190944 218671 218393 208752 190350 181912 177535 179873 178648 177463 176996 U U U U U U

Crude lines 141085 146275 129831 118805 103277 97029 92610 91523 87663 86369 85480 U U U U U UProduct lines 49859 72396 88562 89947 87073 84883 84925 88350 90985 91094 91516 U U U U U U

PERFORMANCEIntercity ton-miles total (millions) 5 229000 431000 588200 584100 591400 601100 619200 616500 619800 617700 577300 576100 586200 590200 599600 U U

Crude oil N N 362600 334800 322600 335900 338300 337400 334100 321100 283400 277000 286600 284500 283700 U UPetroleum products N N 225600 249300 268800 265200 280900 279100 285700 296600 293900 299100 299600 305700 315900 U U

Tons transported (millions) 5 4680 7902 9210 10574 10636 10743 11141 11080 11163 11252 11468 11234 U U U U UAverage length of haul (statute miles) U U U U U

Crude oil 6 325 300 871 812 778 797 779 781 767 766 U U U U U U UPetroleum products 6 269 357 414 387 414 402 413 413 420 418 U U U U U U U

SAFETY 7

Fatalities N 4 4 3 1 3 5 0 2 4 1 0 1 0 5 2 0Injured persons N 21 15 7 c 7 11 13 5 6 20 4 10 0 5 16 2 2Incidents N 351 246 180 245 188 194 171 153 167 146 130 147 131 144 (R) 138 110

Oil Pipeline Profile

2003 Ibid Internet site wwwfercgovindustriesoilgen-inforeg-centralasp as of Aug 26 2004 2004 Ibid Internet site wwwfercgovindustriesoilgen-inforeg-centralasp as of Mar 16 20052005 Ibid Internet site wwwfercgovindustriesoilgen-inforeg-centralasp as of Oct 27 2006

KEY FERC = Federal Energy Regulatory Commission N = data do not exist R = revised U = data are not availablea Includes companies whose pipelines carry crude petroleum petroleum products and nonpetroleum pipeline liquidsb Regulated plus unregulated mileage of crude oil trunk and gathering lines plus refined oil trunk linesc Does not include the 1851 injuries that required medical treatment caused by severe flooding near Houston Texas reportedfor October 1994

2 1960-96 Federal Energy Regulatory Commission personal communication 1999 Ibid Internet site wwwfercfedusoiloil_listhtm as of June 21 2001

NOTEThe Interstate Commerce Committee regulated oil pipelines in the 1960s and 1970s

SOURCES1 Eno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) pp 38 and 39 and similar tables in earlier editions

3 1960-80 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-94 (Washington DC September 1994) SIC 46 1990-1994 Ibid Hours and Earnings United States 1988-1996 (Washington DC July 1996) SIC 461995-98 Ibid Internet site wwwblsgov SIC 46 as of Apr 19 19991999-2001 Ibid Internet site wwwblsgovoes SIC 46 as of June 30 20032002-03 Ibid Internet site wwwblsgovoes NAICS 486100 and NAICS 486900 as of Mar 16 20052004-06 Ibid Internet site wwwblsgovoes NAICS 486100 and NAICS 486900 as of Oct 26 20074 Eno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) pp 58 and 59 and similar tables in earlier editions5 1960-70 Ibid Transportation in America 1998 (Washington DC 1998) p 44 and Transportation in America Supplement 1999 (Washington DC 1999) 1980-98 Ibid Transpotation in America 2002 (Washington DC 2002) p 53 and similar tables in earlier editions1999-2004 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC 2004) Internet site httpwwwaoplorgpubsfactshtml as of Oct 27 2006

FINANCIAL ($ millions) 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Transmission pipeline companies 1

Total operating revenues 3190 5928 41604 21756 13841 12092 12050 10339 9450 9555 10404 10257 10096 10892 11313 16547Total operating expensesa 2698 5088 39709 19484 11333 9534 9603 7862 6875 6897 7856 7296 7369 7822 8284 10336

Operation and maintenance 2095 4203 36480 17058 8389 6680 6802 5381 4260 4148 5172 4198 4294 4341 4503 6624Operation expenses 2031 4094 36075 16429 7811 6121 6314 4975 3909 3823 4880 3850 3971 3997 4130 6077Maintenance expenses 64 109 405 629 578 558 488 406 351 325 292 347 322 344 373 548

Taxes (federal state local)b 319 376 1991 1245 1757 1582 1643 1531 1560 1645 1570 1859 1773 2088 2302 2861Federal taxes 223 202 1327 768 1172 1048 1085 1076 1035 1109 1029 1249 1243 1603 1701 2048State and local taxes 96 174 664 477 585 534 558 455 525 536 541 610 530 485 601 813

Distribution pipeline companies 2

Total operating revenues N N 14013 18750 20911 19421 30407 30864 28182 28135 34696 39179 31210 38199 (R) 40410 48957Total operating expensesa N N 13263 17125 19025 17402 27917 27445 25668 24564 32103 36450 28266 35113 (R) 37330 44800

Operation and maintenance N N 11791 14544 15868 14170 23301 23155 21396 20226 27093 31486 23655 29994 (R) 32149 40099Operation expenses N N 11539 14020 15279 13575 22433 22388 20710 18270 26271 30776 22902 29236 (R) 31355 39236Maintenance expenses N N 252 524 589 596 868 767 687 1956 821 710 753 757 (R) 794 862

Taxes (federal state local)b N N 1136 1625 1931 1888 2668 2415 2524 2355 2916 2908 2437 2914 (R) 2901 3222Federal taxes N N 351 580 703 720 1041 849 1250 883 1033 1216 891 1108 (R) 1096 1075State and local taxes N N 785 1045 1228 1168 1627 1566 1274 1472 1883 1692 1546 1806 (R) 1805 2147

Investor-owned total industry c 3 Total operating revenues N N 85918 66027 63446 58435 63600 62660 57548 59142 72075 79276 68594 75567 (R) 80331 102062Total operating expensesa N N 81789 60137 56789 50594 56695 55422 51075 51331 64961 71011 59839 66623 (R) 71699 89334

Operation and maintenance N N 74508 51628 45953 40041 45785 44851 41360 41415 54630 58908 48675 55067 (R) 59952 77710Operation expenses N N 73288 49718 43879 37998 43742 43258 39971 38752 53138 57184 47037 53477 (R) 58277 75725Maintenance expenses N N 1220 1910 2074 2043 2043 1593 1390 2664 1492 1722 1637 1590 (R) 1675 1985

Taxes (federal state local)b N N 4847 4957 6603 5981 6362 6384 5293 5605 6106 7201 5870 6493 (R) 6420 7421Federal taxes N N 2327 2038 3112 2511 2932 3066 2631 2626 2690 3133 2624 3315 (R) 3188 3643State and local taxes N N 2520 2919 3491 3470 3430 3318 2662 2979 3416 4068 3246 3178 (R) 3232 3778

INVENTORYPipeline mileage total 4 630950 913267 1051774 1189200 1288400 1277600 1323600 1331800 1351200 1340300 1369300 1373500 1411381 1424177 1462349 1457438

Transmission 183700 252200 266500 292200 301500 296900 292200 294000 300100 301000 296600 287100 309503 303999 298851 296377Distribution 391400 594800 701800 864600 955600 949800 1001800 1003100 1022100 1007500 1045600 1066300 1079565 1097870 1139756 1117784Field and gathering 55800 66300 83500 32400 31300 30900 29600 34700 29000 31800 27100 20100 22313 22308 23742 23297

Number of employees 5

Gas utility industry totals 206400 211700 215400 204200 187200 179000 179000 154600 154200 143600 135600 135000 140000 129000 130000 131000Investor-owned companiesd total N N 202700 192100 175700 168900 163400 145400 142400 133100 125100 123000 123000 114000 111000 119000

Transmission pipeline companies 31400 32400 45200 37400 31000 28000 32300 27500 28400 29400 26400 26000 26000 25000 25000 25000Distribution pipeline companies N N 52100 64700 62400 61600 79700 75000 71300 71400 69500 53000 55000 51000 51000 51000Integrated pipeline companies N N 53200 39900 39400 36400 12700 12300 12000 6200 6000 5000 6000 5000 4000 4000Combination pipeline companies N N 52200 50100 42900 42900 38700 30600 30700 26100 23200 39000 36000 33000 31000 39000

Number of interstate natural gas pipeline companies e 6 87 89 91 132 79 92 84 101 97 U U U U U U UPERFORMANCE (million cubic ft) 7

Marketed production total 12771038 21920642 20179724 18593792 19709525 19506474 19812241 19866093 19961348 19804848 20197511 20570295 19884780 19974360 (R) 19517491 18950734Delivered to consumers total 10382681 19018462 18216233 16818882 18898635 19660161 20005508 20781554 20437798 20680843 21539964 20495108 21227012 20562727 (R) 20724883 20544907Consumed total 11966537 21139386 19877293 18715090 20707717 21580665 21966616 22736203 22245956 22405151 23333121 22238624 23007014 22276502 (R) 22388975 22241202Gas used as a pipeline fuel total 347075 722166 634622 659816 685362 700335 711446 751470 635477 645319 642210 624964 666920 591492 (R) 566187 584779SAFETY 8

Fatalities N 26 15 6 21 18 48 10 19 18 37 7 11 12 18 14Injured persons N 233 177 69 113 53 114 72 75 88 77 51 49 (R) 66 44 45Incidents N 1077 1524 198 222 161 187 175 236 172 234 211 (R) 184 (R) 239 (R) 299 351KEY N = data do not exist R = revised U = data are not available

Natural Gas Pipeline Profile

NOTES

7 1960-95 US Department of Energy Energy Information Administration Natural Gas Annual 1998 (Washington DC October 1999) table 98 1996-2004 Ibid Natural Gas Annual 2004 (Washington DC 2005) table 1 Internet website httpwwweiadoegovoil_gasnatural_gasdata_publicationsnatural_gas_annualngahtml as of Sept 26 2007

1 1960-70 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 134 1980-2005 Ibid Gas Facts 2006 (Washington DC 2007) table 11-2 and similar tables in earlier editions2 1980 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 134 1990-2005 Ibid Gas Facts 2006 (Washington DC 2007) table 11-1 and similar tables in earlier editions

5 1960-80 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 153 1990-2005 Ibid Gas Facts 2006 (Washington DC 2007) table 13-2 and similar tables in earlier editions6 1960-90 US Department of Energy Energy Information Administration Statistics of Interstate Natural Gas Pipeline Companies (Washington DC Annual issues) preface 1991-98 Federal Energy Regulatory Commission FERC Automated System for Tariff Retrieval (FASTR database) Internet website httpwwwfercgovindustriesgasgen-infofastrindexasp as of Feb 18 2004

a Does not add due to omission of line from source table for depreciation and other noncash expensesb Figures obtained by addition subtraction and may not appear directly in data sourcec Industry total includes integrated and combination company totals in addition to distribution and transmission company totalsd Number of employees in investor-owned companies is the sum of employees in distribution transmission integrated and combination companies e Beginning in 1991 the number of interstate natural gas pipeline companies is calculated using the Federal Energy Regulatory Commissions FASTR database which contains a listing by year of pipeline companies that are regulated and therefore required to pay tariff duties to the federal government Data for the years prior to 1991 were collected from the Energy Information Administrations discontinued publication Statistics of Interstate Natural Gas Pipeline Companies Data from the two sources may not be comparable

8 US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Internet website httpopsdotgovstatshtm as of Sept 26 2007

Numbers may not add to totals due to roundingGas utility industry totals include employees of privately owned companies

SOURCES

3 1980-2005 American Gas Association Gas Facts 2006 (Washington DC 2007) tables 11-1 11-2 11-3 and 11-4 and similar tables in earlier editions4 1960-70 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 44 1980-2005 Ibid Gas Facts 2006 (Washington DC 2007) tables 5-1 5-3 and similar tables in earlier editions

appendix e

Source andAccuracy Statements

Appendix E Data Source and Accuracy Statements

Data Source and Accuracy Statements

Chapter 1 Extent Condition and Performance

TABLE 1-1 System Mileage Within the United States

HighwayThe Highway Performance Monitoring System

(HPMS) is the source of road mileage data and isconsidered reliable (See box 1-1 for detailed infor-mation about the HPMS) The Federal HighwayAdministration (FHWA) of the US Department ofTransportation (USDOT) collects and reviewsstate-reported HPMS data for completeness con-sistency and adherence to specifications Someinaccuracy may arise from variations across statesin their adherence to federal guidelines in the Traf-fic Monitoring Guide and the Highway Perfor-mance Monitoring System Field Manual for theContinuing Analytical and Statistical Database

Beginning with the 1997 issue of Highway Statis-tics FHWA instituted a new method for creatingmileage-based tables derived from the HPMS Previ-ously adjustments to tables developed from sampledata were made using area-wide mileage informa-tion provided by states These adjustments are nowbeing made using universe totals from the HPMSdataset In addition FHWA has discontinued theprocess of spreading rounding and other differencesacross table cells Thus users may note minor differ-ences in table-to-table totals FHWA considers mile-age totals from table HM-20 ldquoPublic Road LengthMiles by Functional Systemrdquo to be the controllingtotals should a single value be required

Reliability may be diminished for comparisonswith pre-1980 data which were collected via dif-ferent methods and special national studies Forinstance pre-1980 mileage data included somenonpublic roadways (95000 miles in 1979) whilepost-1980 data reports only public road mileage

(roads or streets governed and maintained by apublic authority and open to public travel)

Class I RailThese data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percent report-ing by Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1Annual Report The STB defines Class I railroadsas having operating revenues at or above a thresh-old indexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 1999 the adjustedthreshold for Class I railroads was $2585 millionDeclassification from Class I status occurs when arailroad falls below the applicable threshold forthree consecutive years Although Class I railroadsencompasses only 2 percent of the number of rail-roads in the country they account for over 71 per-cent of the industrys mileage operated

To obtain railway mileage AAR subtracts track-age rights from miles of rail traveled on line 57 inthe Schedule 700 report Historical reliability mayvary due to changes in the railroad industry includ-ing bankruptcies mergers and declassification bythe STB Small data errors may also exist becauseof because of independent rounding of this seriesby AAR

AmtrakThese statistics originate from the Statistical

Appendix to Amtrakrsquos Annual Report Amtrakestimates track mileage based on point-to-pointcity timetables that railroad companies provide forengineers The figures are estimates but are consid-ered reliable

Appendix E Data Source and Accuracy Statements

Box 1-1 Highway Performance Monitoring System

Sampling Frame ConstructionThe Highway Performance Monitoring System (HPMS) sample is a stratified simple random sample of highway links

(small sections of roadway) selected from state inventory files The 1997 sample consists of about 120000 samples Eachstate maintains an independent inventory of highway road links for those roads that the state is responsible for (in somecases this can be a low percentage of total road miles within the state) Lower jurisdictions (MPOrsquos counties citiesnational parks Indian reservations etc) may also maintain inventories of highway links under their jurisdiction The HPMSsample was originally selected in 1978 based on guidelines provided by the FHWA for sampling highway systems exclud-ing those roads functionally classified as local The sampling frame for the state systems were the state inventories Theestimates represent the highway systems of each state The HPMS sample was designed as a fixed sample to minimizedata collection costs but adjustments to maintain representativeness are carried out periodically The HPMS also consistsof universe reporting (a complete census) for the Interstate and the National Highway System and tabular summaryreporting of limited information A small number of data items (about 30) are reported for the complete universe The uni-verse information contains no sampling error There are 4 tables reported as part of the summary

StratificationThe HPMS sample (and universe) is stratified by state type of area (rural urban and individual urbanized areas)

highway functional classification and traffic (annual average daily traffic (AADT) volume groups) Complete informationis provided in the HPMS Field Manual

WeightingThe HPMS sample expansion factors are the ratio of universe mileage to sample mileage in each strata

Data CollectionData are collected independently by the 50 states metropolitan planning organizations (MPOs) and lower jurisdic-

tions Many of the geometric data items rarely change such as number of lanes Others change frequently such as traf-fic Typically the states maintain data inventories that are the repositories of a wide variety of data items The HPMSdata items are extracted from these inventories For example each State has a traffic volume counting program Typi-cally equipment is installed or placed on the roads to measure traffic The counts are then converted to annual averagedaily traffic (AADT) and stored in the state databases AADT is one of the sample and universe items extracted from theinventories and reported to the HPMS The FHWA provides guidelines for data collection in the HPMS Field Manualwhich the states follow to varying extents depending on issues such as staff resources state perspective uses of thedata stateMPOlocal needs for data etc Traffic data collection for example is an expensive and dangerous undertak-ing particularly in high volume urban areas

State departments of transportation report HPMS data annually to the FHWA There are about 80 data itemsreported for the sample component The reporting deadline is June 15 Except for special cases where major problemsoccur data items are reported for each sample There is no provision for nonresponse since a number is available foreach section in the state inventories however states do leave items blank to indicate that no data collection has takenplace for a specific item (eg if no system to measure pavement has been implemented in the state the pavement con-dition item may be left blank) The HPMS has gone through a major restructuring effort and major data item reductionsmodifications and other changes will begin to be implemented with the 1999 data reported by June 15 2000

Sampling ErrorThe sample size is estimated based on traffic volume (AADT) within each stratum Traffic volume is the most vari-

able data item Sampling error can be estimated directly based on the sample design for each stratum and aggregatedby stratified random sample methods to total values This exercise was done originally in 1980 for some of the mostvariable data items including vehicle-miles traveled It has not been repeated since due to the work involved and the lim-ited impact of sampling error as compared to nonsampling error

Appendix E Data Source and Accuracy Statements

TransitThese data are based on information in the US

Department of Transportation Federal TransitAdministration (FTA) National Transit Database(NTD) The legislative requirement for the NTD isfound in Title 49 USC 5335(a) Transit agenciesreceiving funds through the Urbanized Area For-mula Program are generally required to report finan-cial and operating data including vehicle inventoriesand directly operated mileage Transit operators thatdo not report to FTA are those that do not receiveUrbanized Area Formula Funding typically privatesmall and rural operators The data are generallyconsidered accurate because FTA reviews and vali-dates information submitted by individual transitagencies Reliability may vary because some transitagencies cannot obtain accurate information or maymisinterpret certain data definitions

Navigable ChannelsThese statistics originate from a mid-1950s US

Army Corps of Engineers (USACE) estimate thatthere were approximately 25000 miles of commer-cially important navigable channels in the UnitedStates That number has been adjusted from timeto time for example by addition of the 234-mileTennessee-Tombigbee Waterway in the early1980s The 25000 plus mile number has been uni-versally quoted for decades but has definitional

and methodological uncertainties USACE is cur-rently developing a rigorous Global InformationSystem (GIS)-based approach to facilitate tabula-tion of the lengths of shallow and deep-draft com-mercially navigable waterways in the United Statesthis calculation will be available in several years

Oil PipelineThe data are from Transportation in America

published by the Eno Transportation FoundationInc (Eno) The numbers reprinted here for 19601965 1970 and 1975 are Eno estimates from theUS Department of Energy (DOE) Energy DataReport issues labeled ldquoCrude-oil and Refined Prod-ucts Mileage in the United Statesrdquo Eno estimatedthe 1980 number based on the assumption thatrefinement of old less profitable and smaller linesexceeded in mileage the construction of new largerand more profitable lines Post-1985 data were cal-culated using a base figure reported in a 1982USDOT study entitled Liquid Pipeline Directorand then combined with data from the Associationof Oil Pipe Lines and the Oil Pipeline ResearchInstitute Lack of additional information raises def-initional and methodological uncertainties for thedatarsquos reliability Moreover the three differentinformation sources introduce data discontinui-ties making time comparisons unreliable

Nonsampling ErrorThis is a major item of concern for the HPMS For some of the most variable and important data items such as AADT

guidelines for measurement and data collection have been produced States have the option of using the guidelines orusing their own procedures Many data items are difficult and costly to collect and are reported as estimates not based ondirect measurement The data are collected and reported by many entities and individuals within the responsible organiza-tions Most do a reasonably good job but staff turnover cost equipment issues etc can create difficulties identifying dataproblems As mentioned before a response is usually provided for each link as included in state inventories For highwaylinks not the responsibility of states metropolitan planning organizations and lower jurisdictions using a wide variety ofmethods may collect the data This is a major area of concern and efforts are underway within States to standardize datacollection The major effort with the HPMS is to ensure the collection and reporting of reliable annual data The FHWA fieldoffices in each state conduct annual verification of the data reported Computer software is provided to build the databaseand conduct logic edits prior to submittal The reported data are subjected to intense editing and comparison with previousreporting and a written annual report is provided to each state to document problems found and encourage correctionData resubmittal is requested in cases where major problems are found The process involves many people and substantialresources but it provides extensive quality assurance Complete information on data items edits processing expansionsample design definitions data reporting etc is included in the HPMS Field Manual

Appendix E Data Source and Accuracy Statements

Gas PipelineThese statistics originate from annual editions of

Gas Facts published by the American Gas Associa-tion (AGA) The data reported by the AGA arebased on gas utilities participation and reporting tothe Uniform Statistical Report Utilities reportingrepresented 98 percent of gas utility industry saleswhile the remaining 2 percent was estimated fornonreporting companies based on recent historicalexperience Varying percentages of nonreportersfrom year to year introduce minor reliability prob-lems for time-series comparisons

TABLE 1-2 Number of Air Carriers Railroads Interstate Motor Carriers Marine Operators and Pipeline Operators

Air CarriersThe data are from the Air Carrier Financial Sta-

tistics Quarterly published by the Office of AirlineInformation of the US Department of Transporta-tion Bureau of Transportation Statistics (BTS)The Alphabetical List of Air Carriers by CarrierGroup at the beginning of each fourth quarter edi-tion is used to determine the number of major aircarriers and other air carriers in operation at theend of each calendar year The publication drawsits data from the T-100 and T-100(f) databasesmaintained by BTS These databases include dataobtained from a 100-percent census of BTS Form41 schedule submissions by large certificated aircarriers which are carriers that hold a certificateissued under section 401 of the Federal AviationAct of 1958 and that (1) operate aircraft designedto have a maximum passenger seating capacity ofmore than 60 seats or a maximum payload capac-ity of more than 18000 pounds or (2) that conductinternational operations Carriers are grouped asmajor national large regional or medium regionalbased on their annual operating revenues Thethresholds were last adjusted July 1 1999 and thethreshold for major air carriers is currently $1 bil-lion The table combines the number of nationallarge regional and medium regional air carriersinto the other air carrier category

RailroadsThe Association of American Railroads (AAR)rsquos

Railroad Ten-Year Trends series is the source for

the number of railroads The number of Class Irailroads is based on 100-percent reporting byClass I railroads to the Surface TransportationBoard (STB) via Schedule 700 of the R1 AnnualReport The STB defines Class I railroads as havingoperating revenues at or above a threshold indexedto a base of $250 million (1991) and adjustedannually in concert with changes in the RailroadFreight Rate Index published by the Bureau ofLabor Statistics In 2000 the adjusted threshold forClass I railroads was $2619 million Declassifica-tion from Class I status occurs when a railroad fallsbelow the applicable threshold for three consecu-tive years Although Class I railroads encompassesonly 1 percent of the number of railroads in thecountry they account for over 71 percent of theindustrys mileage operated

The Association of American Railroads deter-mines the number of non-Class I railroads throughan annual survey sent to every US freight railroadBy following up with nonrespondents the AARobtains essentially a census of railroads Use of thecurrent survey instrument began in 1986

Interstate Motor CarriersThe Motor Carrier Management Information Sys-

tem (MCMIS) maintained by the US Departmentof Transportation Federal Motor Carrier SafetyAdministration contains information on the safetyof all commercial interstate motor carriers and haz-ardous material (HM) shippers subject to the Fed-eral Motor Carrier Safety Regulations and theHazardous Materials Regulations All carriers oper-ating in interstate or foreign commerce within 90days of beginning operations must submit a FormMCS-150 Motor Carrier Identification ReportCarriers may also use the form to update their infor-mation The Motor Carrier Safety Improvement Actof 1999 requires that reports be periodicallyupdated but not more than once every two yearsMCMIS is updated as soon as information is pro-vided and verified and periodic archives are madeHistorical data are available from summary infor-mation previously prepared including tables andreports MCMIS began operations in 1980 Safetydata since 1990 are available to the public

Marine Vessel OperatorsThe US Army Corps of Engineers (USACE)

provides the data for marine vessel operators

Appendix E Data Source and Accuracy Statements

through the Waterborne Transportation Lines ofthe United States Data are collected by theUSACErsquos Navigation Data Center (NDC) by vari-ous means including the US Coast Guardrsquos regis-try maritime service directories and waterwaysector publications However an annual survey ofcompanies that operate inland waterway vessels isthe principle source of data More than 3000 sur-veys are sent to these companies and response ratesare typically above 90 percent However a USACEofficial did report that less than 10 percent of thetotal number of companies operating inland watervessels either did not receive or respond to theannual survey

Pipeline OperatorsThe Office of Pipeline Safety (OPS) in the US

Department of Transportationrsquos Research and Spe-cial Programs Administration collects annualreport data from natural gas transmission and dis-tribution operators as required by 49 CFR 19117and 19111 respectively Annual data must be sub-mitted by March 15 of the following calendar yearNo annual report is required for hazardous liquidpipeline operators However information is avail-able through the pipeline safety program Since1986 the program has been funded by feesassessed to each OPS-regulated pipeline operatorbased on per-mile of hazardous pipeline operatedData for each operator and each mile of pipelineare stored in the OPS user-fee database which isrevised annually as updated fees are assessed

Totals for pipeline operators in this table will dif-fer from those in other tables due to differences inthe regulatory authority of USDOT and the FederalEnergy Regulatory Commission (FERC) FERC reg-ulates only interstate pipelines whereas DOT regu-lates both interstate and intrastate pipelines exceptfor rural gathering lines and some offshore pipelineswhich fall under jurisdiction of the US CoastGuard or the US Department of the Interiorrsquos Min-erals Management Service An OPS official statedthat FERC regulates about two-thirds the amount ofpipeline mileage that USDOT regulates

TABLE 1-3 Number of US AirportsThe Federal Aviation Administration (FAA)

Office of Airport Safety and Standards Administra-torrsquos Fact Book (annual issues) furnished the datashown in this table and includes airports certified

for air carrier operations with aircraft that seat 30or more passengers These airports include civiland joint civil-military use airports heliportsSTOLports (short takeoff and landing) and sea-plane facilities The FAA obtained this data viaphysical inspections and mail solicitations of allfederally regulated landing facilities Since this is acensus of all US airports reliability should behigh Data however may be subject to reportingerrors typical of administrative recordkeeping

TABLE 1-4 Public Road and Street Mileage in the United States by Type of Surface

TABLE 1-5 US Public Road and Street Mileage by Functional System

TABLE 1-6 Estimated US Roadway Lane-Miles by Functional Class

The Highway Performance Monitoring System(HPMS) is the source of road mileage data and isconsidered reliable (See box 1-1 for detailed infor-mation about the HPMS) The US Department ofTransportation Federal Highway Administrationcollects and reviews state-reported HPMS data forcompleteness consistency and adherence to specifi-cations Some inaccuracy may arise from variationsacross states in their adherence to federal guidelinesin the Traffic Monitoring Guide and the HighwayPerformance Monitoring System Field Manual forthe Continuing Analytical and Statistical Database

Beginning with the 1997 issue of Highway Statis-tics FHWA instituted a new method for creatingmileage-based tables derived from the HPMS Previ-ously adjustments to tables developed from sampledata were made using area-wide mileage informa-tion provided by states These adjustments are nowbeing made using universe totals from the HPMSdataset In addition FHWA has discontinued theprocess of spreading rounding and other differencesacross table cells Thus users may note minor differ-ences in table-to-table totals FHWA considers mile-age totals from table HM-20 ldquoPublic Road LengthMiles by Functional Systemrdquo to be the controllingtotals should a single value be required

Lane-miles are calculated by multiplying the cen-terline length by the number of through lanesBecause the HPMS requires that the number of lanesbe reported for all principal arterials other NationalHighway System (NHS) roads and all standard

Appendix E Data Source and Accuracy Statements

samples lane length can be computed for the Inter-state other principal arterials and the NHS on a100-percent basis For minor arterials rural majorcollectors and urban collectors lane length is calcu-lated based on standard sample sections using thereported number of through lanes length of sectionand an expansion factor FHWA uses the expandedsample to check that the centerline length of a statersquosfunctional system matches the universe functionalsystem length If the centerline length and functionalsystem length do not match FHWA may ask a stateto make adjustments

Reliability may be diminished for comparisonswith pre-1980 data which were collected via dif-ferent methods and special national studies Forinstance pre-1980 mileage data included somenonpublic roadways (95000 miles in 1979) whilepost-1980 data reports only public road mileage(roads or streets governed and maintained by apublic authority and open to public travel)

TABLE 1-7 Number of Stations Served by Amtrak and Rail Transit Fiscal Year

These numbers originate from Amtrakrsquos Statisti-cal Appendix to Amtrakrsquos Annual Report and theUS Department of Transportation Federal TransitAdministrationrsquos National Transit Database

Amtrak maintains a computer database with arecord of every station locomotive and car it oper-ates Those records include for each vehicle theyear built its service status (operating or not on adaily basis) and location These data should beconsidered very reliable

TABLE 1-8 ADA Accessible Rail Transit Stations by Agency

TABLE 1-9 ADA Lift- or Ramp-Equipped Transit Buses

These data are based on information in the USDepartment of Transportation Federal TransitAdministration (FTA) National Transit Database(NTD) The legislative requirement for the NTD isfound in Title 49 USC 5335(a) Transit agenciesreceiving funds through the Urbanized Area For-mula Program are generally required to report finan-cial and operating data including certain aspects ofstation and vehicle accessibility Transit operatorsthat do not report to FTA are those that do notreceive Urbanized Area Formula Funding typically

private small and rural operators The data aregenerally considered accurate because FTA reviewsand validates information submitted by individualtransit agencies Reliability may vary because sometransit agencies cannot obtain accurate informationor may misinterpret certain data definitions

TABLE 1-10 US Oil and Gas Pipeline Mileage

Oil PipelineThe data are from Transportation in America

published by the Eno Transportation FoundationInc (Eno) The numbers reprinted here for 19601965 1970 and 1975 are Eno estimates from theUS Department of Energyrsquos Energy Data Reportissues labeled ldquoCrude-oil and Refined ProductsMileage in the United Statesrdquo Eno estimated the1980 number based on the assumption that refine-ment of old less profitable and smaller linesexceeded in mileage the construction of new largerand more-profitable lines Figures from 1985 andlater years are calculated from a base figure thatEno obtained from the 1982 US Department ofTransportation study Liquid Pipeline Director andthen incorporated that figure with data from theAssociation of Oil Pipe Lines and the Oil PipelineResearch Institute Lack of additional informationraises definitional and methodological uncertain-ties for the datarsquos reliability Moreover the threedifferent information sources introduce data dis-continuities making time comparisons less reliable

Gas PipelineThese statistics originate from annual editions of

Gas Facts published by the American Gas Associa-tion (AGA) The data reported by AGA are basedon gas utilities participation and reporting to theUniform Statistical Report Utilities reporting in1991 represented 98 percent of total gas utilityindustry sales while the remaining 2 percent wasestimated for the nonreporting companies based onrecent historical experience Varying percentages ofnonreporters from year to year introduce minorreliability problems for time-series comparisons

Appendix E Data Source and Accuracy Statements

TABLE 1-11 Number of US Aircraft Vehicles Vessels and Other Conveyances

TABLE 1-12 Sales or Deliveries of New Aircraft Vehicles Vessels and Other Conveyances

Civilian AircraftThe Aerospace Industries Association (AIA) pro-

vided this data in their annual issues AerospaceFacts and Figures ldquoCivil Aircraft Shipmentsrdquo AIAcollects their data from aircraft company reportsthe General Aviation Manufacturers Association(GAMA) and the US Department of Commercersquos(DOC) International Trade Administration DOCdata provide total number of shipments andexports and the difference computed by AIAequals domestic shipments DOC collects ship-ments data separately for individual factories orestablishments and not at the company level Apotential limitation of this approach is when a fac-tory producing aircraft for shipment also makesaircraft parts If the establishment has 80 percentof its production in aircraft and 20 percent in partsall of the output is attributed to aircraft shipments

TransportThe Aerospace Industries Association (AIA) is

the source of these data AIA obtains quarterlydata from Boeing Corp now the sole US manu-facturer of transport aircraft and publicly avail-able financial disclosure information filed with theUS Securities and Exchange Commission (SEC)via Form 10-k SEC requires a publicly traded com-pany to file an annual report 90 days after the endof the companyrsquos fiscal year to provide an overviewof that business

HelicoptersAIA surveyed and received data from all 10

major helicopter manufacturers on their sales anddeliveries

General AviationThe general aviation figures are taken from the

General Aviation Statistical Databook publishedby the GAMA General aviation refers usually tothe small aircraft industry in the United StatesGAMA collects quarterly data from the 10 to 14

manufacturers who nearly equal a census of thegeneral aviation sector

Passenger Car Truck Bus and Recreational Vehicles

Wardrsquos Motor Vehicle Facts and Figures is thesource of these data Wardrsquos obtains sales datadirectly from manufacturers Readers should notethat automobile manufacturers have inflated salesfigures in the past but Wardrsquos does contact compa-nies to verify numbers that appear too high or low

MotorcycleThe Motorcycle Industry Council Inc (MIC)

publishes the Motorcycle Statistical Annual whichis the source for these data MIC derived the esti-mate for new retail motorcycle sales for each statefrom the MIC Retail Sales Report and adjusted fortotal retail sales Motorcycle company reports pro-vided sales data Prior to 1985 all-terrain vehicles(ATVs) were included in the motorcycle total In1995 the Motorcycle Industry Council revised itsdata for the years 1985 to present to exclude allterrain vehicles from its totals

BicycleThe National Bicycle Dealers Association (NBDA)

reported these data which are based on Bicycle Man-ufacturers Association (BMA) information through1996 BMA stopped reporting members shipmentsin 1996 Moreover BMA represents the largest bicy-cle manufacturers (Huffy Roadmaster and Murray)and thus the data do not reflect specialty bike makersor other manufacturers The Bike Council estimated1997 through 2001 figures in the table According toa Bicycle Council representative the estimates are acombination of domestic forecasts produced by apanel of industry experts and import data frommonthly US census databases

TransitThe American Public Transit Association pro-

vided these figures which are based on informationin the US Department of Transportation FederalTransit Administration (FTA) National TransitDatabase These data are generally considered accu-rate because the FTA reviews and validates informa-tion submitted by individual transit agenciesReliability may vary because some transit agencies

Appendix E Data Source and Accuracy Statements

cannot obtain accurate information or misinterpretdata APTA conservatively adjusts FTA data toinclude transit operators that do not report to thedatabase (private very small and rural operators)

Class I RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percent report-ing by Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1Annual Report STB defines Class I railroads ashaving operating revenues at or above a thresholdindexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 2000 the thresholdfor Class I railroads was $2619 million AlthoughClass I railroads encompasses only 2 percent of thenumber of railroads in the country they accountfor over 71 percent of the industrys mileage oper-ated Historical reliability may vary due to changesin the railroad industry including bankruptciesmergers and declassification by the STB Smalldata errors may also have occurred because ofindependent rounding in this series by the AAR

AmtrakAmtrak maintains a computer database with a

record of every locomotive and car it operates Foreach vehicle those records include the year builtits service status (operating or not on a daily basis)and location These data should be considered veryreliable

Water TransportationUS Department of Transportation Maritime

Administration (MARAD) which classifies vesselsas merchant based on size and type reports thesedata in annual issues of its Merchant Fleets of theWorld MARAD compiles these figures from a dataservice provided by Lloydrsquos Maritime InformationService The parent company Lloydrsquos Register(LR) collects data from several sources its 200offices worldwide data transfers and agreementswith other classification societies questionnaires toship owners and shipbuilders feedback from gov-ernment agencies and input from port agentsAccording to an LR official consistent data gather-ing methods have been maintained for more than

30 years but cautioned that inconsistencies mayoccur in groupings of ship types over time Forexample tank barges are now included in thetanker ship-type grouping rather than the bargegrouping

TABLE 1-13 Active Air Carrier and General Aviation Fleet by Type of Aircraft

Air Carrier Certificated All ServicesPrior to 1995 data originated from the US

Department of Transportation Federal AviationAdministration (FAA) FAA Statistical Handbookof Aviation Later data are from the AerospaceIndustries Association (AIA) Aerospace Facts andFigures However Aerospace Facts and Figures iscompiled from the FAA Statistical Handbook ofAviation US air carrier fleet data are based onreports collected by FAA field offices from carriersThe reports include information on the number ofaircraft by type used in air carrier service The FAApoints out that this information is not an inventoryof the aircraft owned by air carriers but representsthe aircraft reported to the FAA as being used in aircarrier fleet service The reported aircraft are allaircraft carrying passengers or cargo for compensa-tion or hire under 14 CFR 121 and 14 CFR 135

General AviationThe 1960-1980 figures originated from the FAA

Statistical Handbook of Aviation Later data arefrom FAA annual issues of the General Aviationand Air Taxi Activity (GAATA) Survey reporttable 31 The FAA collects both aircraft registra-tion data and voluntary information about aircraftoperation equipment and location Before 1978the FAA mandated owners to annually registertheir aircraft for the Aircraft Registration MasterFile This was a complete enumeration of operatingaircraft Registrants were also asked to voluntarilyreport information on hours flow avionics equip-ment base location and use The FAA changedtheir data collection methodology in 1978 Theannual registration requirement became triennialand the General Aviation Activity and AvionicsSurvey was initiated to sample aircraft operationand equipment data

The General Aviation Activity and Avionics Sur-vey was renamed the General Aviation and Air

Appendix E Data Source and Accuracy Statements

Taxi Activity Survey in 1993 to reflect the fact thatthe survey includes air taxi aircraft This survey isconducted annually and encompasses a stratifiedsystematic design from a random start to generatea sample of all general aviation aircraft in theUnited States It is based on the FAA registry as thesampling frame FAA established three stratifica-tion design variables in the survey 1) the averageannual hours flown per aircraft by aircraft type 2)the aircraft manufacturermodel characteristicsand 3) the state of aircraft registration

Data ReliabilityBecause of the change in 1978 the reliability of

comparisons over time will be affected The FAAasserted that the change to a triennial registrationdeteriorated the Aircraft Registration Master Filein two ways First the resulting lag in registrationupdates caused the number of undeliverable ques-tionnaires to steadily increase over the three-yearperiod Second inactive aircraft would remain inthe registry inflating the general aviation fleetcount In addition a new regulation added two cat-egories of aircraft to the general aviation fleetHowever FAA concluded that these changesresulted in no more than a five-percent error in thefleet population estimate

The reliability of the GAATA survey can beimpacted by two factors sampling and nonsam-pling error A measure called the standard error isused to indicate the magnitude of sampling errorStandard errors can be converted for comparabilityby dividing the standard error value by the estimate(derived from sample survey results) and multiply-ing it by 100 This quantity referred to as the per-cent standard error totaled seven-tenths of apercent in 1997 for the general aviation fleet Alarge standard error relative to an estimate indi-cates lack of precision and inversely a small stan-dard error indicates precision

Nonsampling errors could include problemssuch as nonresponse respondentrsquos inability orunwillingness to provide correct information dif-ferences in interpretation of questions and data-entry mistakes Readers should note that non-response bias might be a component of reliabilityerrors in the data from 1980 to 1990 The FAAconducted telephone surveys of nonrespondents in1977 1978 and 1979 and found no significantdifferences or inconsistencies in respondentsrsquo and

nonrespondentsrsquo replies The FAA discontinued thetelephone survey of nonrespondents in 1980 tosave costs Nonresponse surveys were resumed in1990 and the FAA found notable differences andthus adjusted its fleet estimates The 1991 through1996 data have been revised to reflect nonresponsebias In 1997 a sample of 29954 aircraft wasidentified and surveyed from an approximate pop-ulation of 251571 registered general aviation air-craft Just over 65 percent of the sample respondedto the survey

Highway Total (registered vehicles)The 1960 to 1980 figures are from the US

Department of Transportation Federal HighwayAdministration (FHWA) document Highway Sta-tistics Summary to 1985 table MV-201 andrelated tables Data quality and consistency will beless reliable for these years because of a diversity ofregistration practices from state to state Usersshould recognize that motor vehicle statisticalinformation is not necessarily comparable acrossall states or within a state from year to year Forinstance the FHWA reported that separate data onsingle-unit trucks and combinations was unobtain-able from all states in 1990

After 1980 the FHWA began to use the High-way Performance Monitoring System (HPMS)database which improved data reliability FHWAreviews state-reported HPMS data for complete-ness consistency and adherence to these specifica-tions Some inaccuracy may arise from variationsacross states in their adherence to federal guidelinesin the Highway Performance Monitoring SystemField Manual for the Continuing Analytical andStatistical Database

If choosing to compare state data the FHWA rec-ommends that users carefully select a set of peerstates that have characteristics similar to the specificcomparison Improperly selected peer states arelikely to yield invalid data comparisons Characteris-tics that a user needs to consider in determiningcompatibility of a peer state include similarities anddifferences in urbanrural areas population densi-ties degrees of urbanization climate geographystate laws and practices that influence data defini-tions administrative controls of public road sys-tems state economies traffic volumes and degreesof centralization of state functions The FHWA has

Appendix E Data Source and Accuracy Statements

developed a set of variables that users may use todetermine appropriate peer states

Other 2-Axle 4-Tire Vehicle (truck) Sources for these figures included FHWArsquos High-

way Statistics Summary to 1995 (table VM-201A)and annual issues of Highway Statistics (table VM-1) FHWA compiles these figures from the USBureau of the Censusrsquo Truck Inventory and UseSurvey (TIUS) Since 1963 Census has conductedthe TIUS every five years with the last survey com-pleted in 1997 The Census Bureau changed thename of the survey to the Vehicle Inventory andUse Survey (VIUS) in 1997 The VIUS collects dataand the physical and operational characteristics ofthe nationrsquos truck population In 1997 131000trucks were surveyed from an estimated universe ofover 75 million trucks Chronological reliabilitymay be diminished due to sampling design changesin 1977 1982 and 1992 In 1977 the samplinguniverse was first stratified by the number of trucksin a state large (gt 15 million trucks) medium(700000 to 15 million) and small (lt 700000)and then by two truck sizes

Stratification in 1982 was then based on bodytype rather than vehicle weight In 1992 and 1997the sampling universe was first subdivided geo-graphically and then into five strata 1) pickups 2)vans 3) single-unit light 4) single-unit heavy and5) truck tractor Cases were then selected randomlywithin each stratum

Census delivered a mail-outmail-back survey tothe owner identified in the vehicle registrationrecords Data collection is staggered as state recordsbecome available Owners report data only for thevehicles selected In the 1992 survey a method wasemployed to also collect data on new truck pur-chases in the latter half of the year to estimate thefleet for the calendar year This adjustment in thesampling frame had not been done in previous sur-veys and may diminish chronological reliability Thesample for 1997 was some 22500 vehicles smallerthan for 1992 The 1997 VIUS had two samplingstages For the first stage the Census Bureau sur-veyed about 131000 trucks registered as of July 11997 The second stage sampled a total of 3000truck owners with state mailing addresses differentfrom the state of truck registration

The accuracy and reliability of the VIUS surveydepends jointly on sampling variability and non-

sampling errors Standard errors arising from sam-pling variability can be converted for comparabilityby dividing the standard error value by the estimateand multiplying it by 100 This quantity referredto as the percent standard error totaled two-tenthsof a percent in 1992 and 1997 for the VIUS sam-ple A large standard error relative to an estimateindicates lack of precision and inversely a smallstandard error indicates precision The 1992 TIUSachieved over 902 percent reporting and the 1997response rate equaled 845 percent thus reliabilitymay have decreased in the most recent survey

TransitThe American Public Transit Association (APTA)

provided these data which are based on the Fed-eral Transit Administration (FTA) National TransitDatabase These data are generally accuratebecause the FTA reviews and validates informationsubmitted by individual transit agencies Reliabilitymay vary because some transit agencies cannotobtain accurate information or may misinterpretdata APTA conservatively adjusts FTA data toinclude transit operators that do not report to thedatabase (private very small and rural operators)

Railroad (all categories)The data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percent report-ing by Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1Annual Report Thus data estimates are consid-ered very reliable The STB defines Class I railroadsas having operating revenues at or above a thresh-old indexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 2000 the adjustedthreshold for Class I railroads was $ 2619 millionDeclassification from Class I status occurs when arailroad falls below the applicable threshold forthree consecutive years Although Class I railroadsencompasses only 2 percent of the number of rail-roads in the country they account for over 71 per-cent of the industrys mileage operated

AAR determines the number of non-Class I rail-roads through an annual comprehensive surveysent to every US freight railroad By following upwith nonrespondents the AAR obtains essentially

Appendix E Data Source and Accuracy Statements

a 100 percent census of all railroads Use of thecurrent survey instrument began in 1986

AmtrakAmtrak maintains a computer database with a

record of every locomotive and car it operates Foreach vehicle those records include the year builtservice status (operating or not operating on a dailybasis) and location This data should be consid-ered very reliable

Water TransportationThe source for Inland Nonself-Propelled Vessels

Self-Propelled Vessels and flag passenger andcargo vessels is the US Army Corps of Engineers(USACE) Waterborne Transportation Lines of theUnited States annual issues Data are collected bythe USACErsquos Navigation Data Center (NDC) byvarious means including the US Coast Guardrsquosregistry maritime service directories and waterwaysector publications However an annual survey ofcompanies that operate inland waterway vessels isthe principle source of data More than 3000 sur-veys are sent to these companies and responserates are typically above 90 percent However aUSACE official did report that less than 10 percentof the total number of companies operating inlandvessels either did not receive or respond to theannual survey

Oceangoing Steam Motor ShipsMerchant Fleets of the World published annu-

ally by the US Department of TransportationMaritime Administration (MARAD) is the sourceof these data MARAD which classifies vessels asmerchant based on size and type compiles thesefigures from a data service provided by LloydrsquosMaritime Information Service (LMIS) The parentcompany Lloydrsquos Register (LR) collects data from200 offices worldwide from data transfers andagreements with other classification societies fromquestionnaires to ship owners and ship buildersfrom feedback from government agencies andfrom input from port agents According to an LRofficial consistent data-gathering methods havebeen maintained for more than 30 years The sameofficial did caution that there are sometimes incon-sistencies in groupings of ship types over time Forexample propelled tank barges are now includedin the tanker ship-type grouping

Recreational BoatsBoating Statistics published annually by the US

Coast Guard (USCG) is the source The USCGderives these figures from state and other jurisdic-tional reporting of the actual count of valid boatnumbers issued In accordance with federalrequirements all 55 US states and territoriesrequire motor-powered vessels to be numberedHowever over half the states do not require non-powered vessels to be numbered Accuracy can alsobe diminished by noncompliance of boat ownerswith numbering and registration laws In 1996 theUSCG estimated that approximately eight millionrecreational boats are not numbered and thus areexcluded from the reported number of recreationalvessels The USCG did not provide estimates forthe number of boats without numbering in theirreports after 1996 Some jurisdictions fail to reportby publication deadlines and the USCG providedestimates based on the previous yearrsquos estimate

TABLE 1-14 US Automobile and Truck Fleets by Use

These statistics originate from two sources TheRL Polk Co provides numbers for commercialfleet vehicles from state registrations Bobit Publish-ing Co also obtains fleet vehicle sales data fromautomobile manufacturers These two sources covernearly 100 percent of fleet vehicles in the UnitedStates Thus the data should be very accurate

TABLE 1-15 Annual US Motor Vehicle Production and Factory (Wholesale) Sales

TABLE 1-16 Retail New Passenger Car Sales

TABLE 1-17 New and Used Passenger Car Sales and Leases

TABLE 1-18 Retail Sales of New Cars by SectorThe US Department of Commerce Bureau of

Economic Analysis uses data from Wardrsquos Auto-motive Reports The sectoral break down isderived from registration data obtained from RLPolk Wardrsquos obtains sales data directly from man-ufacturers Readers should note that automobilemanufacturers have inflated sales figures in thepast but Wardrsquos does contact companies to verifynumbers that appear too high or low

Appendix E Data Source and Accuracy Statements

TABLES 1-19 and 1-20 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and Imported Automobiles and Light Trucks Selected Sales Periods

These data originate from Oak Ridge NationalLaboratoryrsquos (ORNL) Light-Duty MPG and Mar-ket Shares System database which relies on infor-mation from monthly Wardrsquos Automotive ReportsComparisons and observations are made on salesand fuel economy trends from one model year tothe next ORNL has adopted several conventionsto facilitate these comparisons such as the use ofsales-weighted average to estimate fuel economyand vehicle characteristics For example ldquosales-weightedrdquo miles per gallon refers to a composite oraverage fuel economy based on the distribution ofvehicle sales ORNLrsquos methodology for sales-weighting can be found in the Appendix of theHighway Vehicle MPG and Market Shares ReportModel Year 1990 (the latest published report) Themethod was changed dramatically in 1983 anddata reliability prior to that year is questionableThis information is now published annually inORNLrsquos Transportation Energy Data Book

TABLE 1-21 Number of Trucks by WeightThese data are derived from the Vehicle Inven-

tory and Use Survey (VIUS) conducted in 1997 bythe US Bureau of the Census This survey for-merly known as the Truck Inventory and Use Sur-vey (TIUS) has been conducted every 5 years since1963 The VIUS collects data and the physical andoperational characteristics of the nationrsquos truckpopulation In 1997 131000 trucks were surveyedfrom an estimated universe of over 75 milliontrucks Chronological reliability may be diminisheddue to sampling design changes in 1977 1982 and1992 In 1977 the sampling universe was firststratified by the number of trucks in a state large(gt 15 million trucks) medium (700000 to 15 mil-lion) and small (lt 700000) and then by two trucksizes

Stratification in 1982 was then based on bodytype rather than vehicle weight In 1992 and 1997the sampling universe was first subdivided geo-graphically and then into five strata 1) pickups 2)vans 3) single-unit light 4) single-unit heavy and5) truck tractor Cases were then selected randomlywithin each stratum

Census delivered a mail-outmail-back survey tothe owner identified in the vehicle registrationrecords Data collection is staggered as state recordsbecome available Owners report data only for thevehicles selected In the 1992 survey a method wasemployed to also collect data on new truck pur-chases in the latter half of the year to estimate thefleet for the calendar year This adjustment in thesampling frame had not been done in previous sur-veys and may diminish chronological reliability Thesample for 1997 was some 22500 vehicles smallerthan for 1992 The 1997 VIUS had two samplingstages For the first stage the Census Bureau sur-veyed about 131000 trucks registered as of July 11997 The second stage sampled a total of 3000truck owners with state mailing addresses differentfrom the state of truck registration

The accuracy and reliability of the VIUS surveydepends jointly on sampling variability and non-sampling errors Standard errors arising from sam-pling variability can be converted for comparabilityby dividing the standard error value by the estimateand multiplying it by 100 This quantity referredto as the percent standard error totaled two-tenthsof a percent in 1992 and 1997 for the VIUS sam-ple A large standard error relative to an estimateindicates lack of precision and inversely a smallstandard error indicates precision The 1992 TIUSachieved over 902 percent reporting and the 1997response rate equaled 845 percent thus reliabilitymay have decreased in the most recent survey

TABLE 1-22 World Motor Vehicle Production Selected Countries

Motor Vehicle Production Factory Sales and New Passenger Car Retail Sales

Wardrsquos Motor Vehicle Facts amp Figures is thesource of these data Wardrsquos obtains sales datadirectly from manufacturers Readers should notethat automobile manufacturers have inflated salesfigures in the past but Wardrsquos does contact compa-nies to verify numbers that appear too high or low

Used Passenger Car Sales and Leased Passenger Cars

ADT Automotive Used Car Market Report is thesource of these data The Wall Street Journal (WSJ)is the original source of 1999 data According to

Appendix E Data Source and Accuracy Statements

an ADT representative publishing deadlinesrequire ADT to use WSJ numbers until they can bereplaced with National Automotive Dealers Asso-ciation data ADT Automotiversquos Market AnalysisDepartment also gathers figures from CNW Mar-ketingResearch and the RL Polk Co CNW esti-mates used car sales volumes by collecting statetitle transfer data and determining if a transactionwas made between private individuals or between aconsumer and a franchised or independent dealerThis estimate is evaluated by comparing totaltransactions with state automobile sales revenuesPolk an additional source of data maintains astate vehicle registration database For 1998 theADT representative stated that Polkrsquos data werewithin 5 percentage points of CNW estimates

TABLE 1-23 Number and Size of the US Flag Merchant Fleet and Its Share of the World Fleet

The US Department of Transportation Mari-time Administration which classifies vessels asmerchant based on size and type compiles thesefigures from a data service provided by LloydrsquosMaritime Information Service The parent com-pany Lloydrsquos Register (LR) collects data from sev-eral sources its 200 offices worldwide datatransfers and agreements with other classificationsocieties questionnaires to ship owners and ship-builders feedback from government agencies andinput from port agents According to an LR offi-cial consistent data gathering methods have beenmaintained for more than 30 years but cautionedthat inconsistencies may occur in groupings of shiptypes over time For example tank barges are nowincluded in the tanker ship-type grouping ratherthan the barge grouping

TABLE 1-24 US Airport Runway Pavement Conditions

These data originate from the US Departmentof Transportation Federal Aviation Administration(FAA) National Plan of Integrated Airport Systems(NPIAS) The NPIAS includes all commercial ser-vice airports all reliever airports and selected gen-eral aviation airports It does not include morethan 1000 publicly owned public use landingareas privately owned public use airports andother civil landing areas not open to the generalpublic NPIAS airports serve 92 percent of generalaviation aircraft (based on an estimated fleet of

200000 aircraft) In 1998 the NPIAS encom-passed 3344 of the 5357 airports with publicaccess Runway pavement condition is classified asfollows

Good All cracks and joints are sealedFair Mild surface cracking unsealed joints and

slab edge spallingPoor Large open cracks surface and edge spal-

ling vegetation growing through cracks and jointsOn a rotating basis the FAA arranges annual

inspections for about 2000 of the approximately4700 public-use airports The inspections arebased on funding availability and not on statisticalcriteria and nearly all runways are inspected everytwo years Inspections are primarily made to col-lect information for pilots on airport conditionsThe FAA relies on state and local agencies to per-form inspections so some inaccuracy may arisefrom variation in their adherence to federal guide-lines regarding pavement condition reporting In1998 the US General Accounting Office foundthat Pavement Condition Index information wasavailable for about 35 percent of NPIAS airports(GAORCED-98-226)

TABLE 1-25 Median Age of Automobiles and Trucks in Operation in the United States

The RL Polk Co is a private enterprise thatpurchases state registration data to maintain adatabase of operational vehicles Its data representa near census of registered vehicles in the UnitedStates and the age estimate should be consideredvery reliable

TABLE 1-26 Condition of US Roadways by Functional System

US Department of Transportation FederalHighway Administration (FHWA) collects pave-ment condition data from each state through theHighway Performance Monitoring System TheFHWA uses two rating schemesmdashthe Present Ser-viceability Rating (PSR) and the InternationalRoughness Indicator (IRI) IRI is used to measurethe condition of Interstates other principal arteri-als rural minor arterials and other National High-way System roadways PSR is used to measure thecondition of rural major collectors and urbanminor arterials and collectors Rural minor collec-tors are not measured Where IRI data are notreported for sampled sections the PSR data are

Appendix E Data Source and Accuracy Statements

collected Using the PSR values range from 01 to50 where 50 denotes new pavement in excellentcondition and 01 denotes pavement in extremelypoor condition On the IRI scale however lowervalues indicate smoother roads (eg lt60 for inter-state pavement in very good condition to gt170 forinterstate pavement in poor condition)

The IRI is an objective measure of pavementroughness developed by the World Bank The PSRis a more subjective measure of a broader range ofpavement characteristics and therefore less compa-rable Prior to 1993 all pavement conditions wereevaluated using PSR values Beginning with datapublished in Highway Statistics 1993 the FHWAbegan a transition to the IRI which should eventu-ally replace the PSR The change from PSR to IRImakes comparisons between pre-1993 pavementcondition data and 1993 and later pavement condi-tion data difficult Thus trend comparisons shouldbe made with care

FHWA indicates that the protocol of measuringpavement roughness is not followed by all statesand some did not report for all required mileageTotals only reflect those states reporting usable orpartially usable data Column percentages may notsum to 100 and may differ slightly from percent-ages in source tables which were adjusted so thatthey would add to 100 FHWA believes that the IRIdata are of ldquoreasonably good qualityrdquo

TABLE 1-27 Condition of US BridgesThese figures are from the U S Department of

Transportation Federal Highway Administration(FHWA) National Bridge Inventory DatabaseState highway agencies are required to maintain abridge inspection program and inspect mostbridges on public roadways at a minimum of everytwo years With FHWA approval certain bridgesmay be inspected less frequently A complete file ofall bridges is collected and maintained represent-ing a very reliable assessment of bridge conditionsHowever some inaccuracy may be attributable tovariations in state inspectorrsquos adherence to theNational Bridge Inspection Standards

TABLE 1-28 Average Age of Urban Transit Vehicles

These figures are based on information in theUS Department of Transportation Federal TransitAdministration (FTA) National Transit Database

The legislative requirement for the NTD is found inTitle 49 USC 5335(a) Transit agencies receivingfunds through the Urbanized Area Formula Pro-gram are generally required to report financial andoperating data including vehicle inventoriesTransit operators that do not report to FTA arethose that do not receive Urbanized Area FormulaFunding typically private small and rural opera-tors The data are generally considered accuratebecause FTA reviews and validates informationsubmitted by individual transit agencies Reliabil-ity may vary because some transit agencies cannotobtain accurate information or may misinterpretcertain data definitions

TABLE 1-29 Class I Railroad Locomotive Fleet by Year Built

The data are from Railroad Facts publishedannually by the Association of American Railroads(AAR) Figures reported by AAR are based on100-percent reporting by Class I railroads to theSurface Transportation Board (STB) via Schedule700 of the R1 Annual Report STB defines Class Irailroads as having operating revenues at or abovea threshold indexed to a base of $250 million(1991) and adjusted annually in concert withchanges in the Railroad Freight Rate Index pub-lished by the Bureau of Labor Statistics In 2000the threshold for Class I railroads was $2619 mil-lion Declassification from Class I status occurswhen a railroad falls below the applicable thresh-old for three consecutive years Although Class Irailroads encompasses only 2 percent of the num-ber of railroads in the country they account forover 71 percent of the industrys mileage operated

TABLE 1-30 Age and Availability of Amtrak Locomotive and Car Fleets

Amtrak maintains a computer database with arecord of every locomotive and car it operates Foreach vehicle those records include the year built itsservice status (operating or not on a daily basis)and location These data should be consideredvery reliable

TABLE 1-31 US Flag Vessels by Type and AgeThe data are from the US Army Corps of Engi-

neers (USACE) Waterborne Transportation Lines ofthe United States (WTLUS) annual issues The

Appendix E Data Source and Accuracy Statements

WTLUS database contains information on vesseloperators and characteristics and descriptions for alldomestic vessel operations Data are collected bythe USACErsquos Navigation Data Center primarilythrough a survey of vessel operating companiesMore than 3000 surveys are sent to these compa-nies and response rates are typically above 90 per-cent However a USACE official did report that lessthan 10 percent of the total number of companiesoperating inland vessel fleets either did not receiveandor did not respond to the annual survey

TABLE 1-32 US Vehicle-Miles

TABLE 1-33 Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class

TABLE 1-34 US Passenger-Miles

Air Carrier Certificated Domestic All ServicesThe US Department of Transportation

(USDOT) the Bureau of Transportation StatisticsOffice of Airline Information reports aircraft reve-nue-miles and passenger-miles in its publication AirTraffic Statistics These numbers are based on 100-percent reporting of passengers and trip length bylarge certificated air carriers Minor errors arisefrom nonreporting but amount to less than 1 per-cent of all air carrier passenger-miles The figuresdo not include data for all airlines such as mostscheduled commuter airlines and all nonscheduledcommuter airlines These if added may raise totalair passenger-miles by about 5 percent

General AviationPassenger-mile numbers for 1975 to present are

calculated by adjusting the Interstate CommerceCommissionrsquos 1974 figure for air passenger-miles bythe percentage change in annual hours flown by gen-eral aviation aircraft as published in the USDOTFederal Aviation Administration (FAA) FAA Statis-tical Handbook of Aviation Numbers in the hand-book are based on the General Aviation and AirTaxi Survey (GAATA) In 1993 the GAATAstopped including commuter aircraft Commuter-miles collected before 1993 by the GAATA wereaccording to one FAA official woefully underre-ported Therefore problems with the estimate ofgeneral aviation aircraft include a break in the seriesbetween 1992 and 1993 a possible outdated factor

used to calculate passenger-miles and the classifica-tion of commuter operations

HighwayHighway vehicle-miles of travel (vmt) are esti-

mated using data from the Highway PerformanceMonitoring System (HPMS) a database main-tained by FHWA that contains information onhighway characteristics supplied by individualstates Annual vmt by highway functional systemis calculated as the product of the annual averagedaily traffic (AADT) along each highway sectionthe centerline length of each highway section andthe number of days in the year Also expansionfactors are used for roadways that are sampledrather than continuously monitored Vmt by vehi-cle type is estimated using vehicle share estimatessupplied by states

FHWA has established methods for collectingcoding and reporting HPMS data in two manualsTraffic Monitoring Guide (TMG) and HighwayPerformance Monitoring System Field ManualThe prescribed sampling process for collectinghighway volume data which is used to estimateAADT is based on statistical methods Howeverin practice several factors affect the ultimate qual-ity of the data FHWA discusses many of theseissues in their annual Highway Statistics report andother publications However BTS is not aware ofany study or report that has statistically quantifiedthe accuracy of vmt estimates Some of the pri-mary issues related to data quality are noted here

1 The sampling procedures suggested in theTMG and HPMS Field Manual are designed to pro-duce traffic volume estimates with an average preci-sion level of 80-percent confidence with a 10-percent allowable error at the state level FHWAprovides additional guidance to states throughannual workshops and other avenues to help themfollow these procedures as closely as possible How-ever the actual data quality and consistency ofHPMS information are dependent on the programsactions and maintenance of sound databases bynumerous data collectors suppliers and analysts atthe state metropolitan and other local area levelsNot all states follow the recommended samplingcounting and estimating procedures contained inthe Traffic Monitoring Guide and the exact degreeto which the states follow these guidelines overall is

Appendix E Data Source and Accuracy Statements

unknown However FHWA believes that moststates generally follow the guidelines

2 Estimates for higher level roadway systems aremore accurate than those for lower level ones sincetraffic volumes on higher level roadways are sam-pled at a higher rate The TMG recommends thattraffic counts be collected for all Interstate andprincipal arterial sections on a three-year cycleUnder this scheme about one-third of the trafficcounts for these roadway sections in a given yearare actually measured while volumes on theremainder are factored to represent presentgrowth Although some States collect data at alltraffic count locations every year most use somevariation of the TMG data collection guidelinesVolumes on urban and rural minor arterials ruralmajor collectors and urban collectors are collectedusing a sampling procedure States are notrequired to report volumes for ruralurban localsystems and rural minor collectors though most doso However the methods used to estimate travelon these roadways vary from state to state sincethere are no standard guidelines for calculatingtravel on these roadways

3 Vmt estimates by vehicle type are less accuratethan are estimates for total motor vehicle vmt forseveral reasons 1) vehicle classification equipmentcan frequently misclassify vehicles (see BA Harveyet al Accuracy of Traffic Monitoring EquipmentGDOT 9210 (Georgia Tech Research Insti-tute1995)) 2) vehicle shares are often determinedby methods or by special studies that are notdirectly compatible with HPMS data definitionsandor purposes and observed local-level vehicleclassification counts are difficult to apply on astatewide basis and 3) vehicle type definitions canvary among states

4 Vmt estimates for combination trucks inHPMS differ from survey-based estimates from theTruck Inventory and Use Survey (TIUS) as muchas 50 percent for some categories of combinationtrucks Much of this discrepancy appears to be dueto differences in truck classification definitions andbiases introduced by data collection practices SeeRD Mingo et al1995 Transportation ResearchRecord No 1511 (Washington DC NationalAcademy Press) pp 42-46

5 FHWA adjusts questionable data using a vari-ety of standard techniques and professional judge-ment For example national average temporal

adjustment factors developed from HPMS andother national highway monitoring programs areapplied to state data when necessary to compen-sate for temporal deficiencies in sampling practicesAlso in estimating vmt by vehicle type FHWAemploys an iterative process to reconcile vmt fueleconomy (miles per gallon) fuel consumption andvehicle registration estimates Fuel consumptiontotal vmt by highway functional class and registra-tions by vehicle group are used as control totalsThis process limits the size of errors and ensuresdata consistency

6 Passenger-miles of travel (pmt) are calculatedby multiplying vmt estimates by vehicle loading (oroccupancy) factors from various sources such asthe Nationwide Personal Transportation Surveyconducted by FHWA and TIUS Thus pmt dataare subject to the same accuracy issues as vmtalong with uncertainties associated with estimatingvehicle-loading factors

TransitThe American Public Transit Association (APTA)

figures are based on information in USDOT FederalTransit Administration (FTA) National Transit Data-base Transit data are generally considered accuratebecause FTA reviews and validates information sub-mitted by individual transit agencies However reli-ability may vary because some transit agencies cannotobtain accurate information or may misinterpretdata APTA adjusts the FTA data to include transitoperators that do not report to the FTA database (pri-vate very small and rural operators)

Class I Rail (vehicle-miles)Data are from Railroad Facts published annu-

ally by the Association of American Railroads(AAR) AAR data are based on 100-percentreporting by Class I railroads to the Surface Trans-portation Board (STB) via Schedule 700 of the R1Annual Report required of Class I railroads STBdefines Class I railroads as having operating reve-nues at or above a threshold indexed to a base of$250 million (1991) and adjusted annually in con-cert with changes in the Railroad Freight RateIndex published by the Bureau of Labor StatisticsIn 1999 the adjusted threshold for Class I rail-roads was $2585 million Declassification fromClass I status occurs when a railroad falls belowthe applicable threshold for three consecutive

Appendix E Data Source and Accuracy Statements

years Although Class I railroads encompasses only2 percent of the number of railroads in the countrythey account for over 71 percent of the industrysmileage operated

Intercity TrainThe AAR passenger-miles number is based on an

almost 100-percent count of tickets and thereforeis considered accurate

TABLE 1-36 Long-Distance Travel in the United States by Selected Trip Characteristics 1995

TABLE 1-37 Long-Distance Travel in the United States by Selected Traveler Characteristics 1995

The data presented in these tables are estimatesderived from the 1995 American Travel Survey(ATS) conducted for the US Department of Trans-portation Bureau of Transportation Statistics Thesurveyrsquos estimation procedure inflates unweightedsample results to independent estimates of the totalpopulation of the United States Values for missingdata are estimated through imputation procedures

Since ATS estimates come from a sample theyare subject to two possible types of error nonsam-pling and sampling Sources of nonsampling errorsinclude inability to obtain information about allsample cases errors made in data collection andprocessing errors made in estimating values formissing data and undercoverage

The accuracy of an estimate depends on bothtypes of error but the full extent of the nonsam-pling error is unknown Consequently the usershould be particularly careful when interpretingresults based on a relatively small number of casesor on small differences between estimates

Standard errors for ATS estimates that indicatethe magnitude of sampling error as well as com-plete documentation of the source and reliability ofthe data may be obtained from detailed ATSreports Because of methodological differencesusers should use caution when comparing thesedata with data from other sources

TABLE 1-38 US Air Carrier Departures Enplaned Revenue Passengers and Enplaned Revenue Tons

The Airport Activity Statistics of Certificated AirCarriers (AAS) is the source of these data Pub-lished annually by the US Department of Trans-

portation Bureau of Transportation StatisticsOffice of Airline Information (OAI) the AAS pre-sents traffic statistics for all scheduled and non-scheduled service by large certificated US aircarriers for each airport served within the 50 statesthe District of Columbia and other US areas des-ignated by the Federal Aviation AdministrationThe publication draws its data from the T-100 andT-3 databases maintained by OAI These data arebased on a 100-percent reporting of enplanementsdepartures and tonnage information by large cer-tificated US air carriers via BTS Form 41

Prior to 1993 the AAS included all scheduledand some nonscheduled enplanements for certifi-cated air carriers but did not include enplanementsfor air carriers offering charter service only Priorto 1990 the freight category was divided into bothfreight and express shipments and the mail cate-gory was divided into US mail (priority and non-priority) and foreign mail Beginning in 1990 onlyaggregate numbers were reported for freight andmail

Air traffic hubs are designated as geographicalareas based on the percentage of total passengersenplaned in the area A hub may have more thanone airport This definition of hub should not beconfused with the definition used by airlines indescribing their ldquohub-and-spokerdquo route structures

TABLE 1-39 Passengers Boarded at the Top 50 US Airports

The Airport Activity Statistics of CertificatedAir Carriers (AAS) is the source of these dataPublished by USDOT Bureau of TransportationStatistics Office of Airline Information (OAI) theAAS presents traffic statistics for all scheduledand nonscheduled service by large certificatedUS air carriers for each airport served within the50 states the District of Columbia and other USareas designated by the Federal Aviation Adminis-tration The publication draws its data from theT-100 and T-3 databases maintained by OAIThese data are based on a 100-percent reportingof enplanements departures and tonnage infor-mation by large certificated US air carriers viaBTS Form 41

Prior to 1993 the AAS included all scheduledand some nonscheduled enplanements for certifi-cated air carriers but did not include enplanementsfor air carriers offering charter service only Prior

Appendix E Data Source and Accuracy Statements

to 1990 the freight category was divided into bothfreight and express shipments and the mail cate-gory was divided into US mail (priority and nonp-riority) and foreign mail Beginning in 1990 onlyaggregate numbers were reported for freight andmail

TABLE 1-40 Air Passenger Travel Arrivals in the United States from Selected Foreign Countries

TABLE 1-41 Air Passenger Travel Departures from the United States to Selected Foreign Countries

The International Trade Administration in theUS Department of Commerce publishes the USInternational Air Travel Statistics Report annu-ally The passenger data is based on informationcollected by the US Immigration and Naturaliza-tion Service using the INS Form I-92 All passen-gers on international flights must complete the I-92form with the exception of those passengers onflights arriving or departing from Canada

The international passenger arrivals and depar-tures data for Canada is obtained from Air CarrierTraffic at Canadian Airports which is published byStatistics Canada Three surveys are conducted byStatistics Canada in order to collect the necessarypassenger data Since all data is not received by thetime of publication and data is occasionallyupdated or resubmitted by the participating carri-ers data should be considered preliminary for theyears referenced in the source publication

TABLE 1-44 US Ton-Miles of Freight

Air CarrierAir Carrier Traffic Statistics published by the

US Department of Transportation Bureau ofTransportation Statistics (BTS) Office of AirlineInformation (OAI) is the source of these dataLarge certificated US air carriers report domesticfreight activities to OAI via BTS Form 41 Theinformation reported in the table represents trans-portation of freight (excluding passenger baggage)US and foreign mail and express mail within the50 states the District of Columbia Puerto Ricoand the Virgin Islands It also covers transbordertraffic to Canada and Mexico by US carriers Thedata does not include information on small certifi-

cated air carriers which represent less than 5 per-cent of freight ton-miles

Intercity TruckThe data are estimates from Transportation in

America published by the Eno TransportationFoundation Inc (Eno) Enorsquos estimates of intercitytruck ton-miles are based on historic data from theformer Interstate Commerce Commission (ICC)estimates from the American Trucking Associationand other sources Eno supplements its estimatesby using additional information on vehicle-miles oftruck travel published in Highway Statistics by theFederal Highway Administration Users shouldnote that truck estimates in the tables do notinclude local truck movements

Class I RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percentreporting by Class I railroads to the Surface Trans-portation Board (STB) The data represent all reve-nue freight activities of the Class I railroads and arenot based on information from the Rail WaybillSample The STB defines Class I railroads as hav-ing operating revenues at or above a thresholdindexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 2000 the adjustedthreshold for Class I railroads was $ 2619 millionDeclassification from Class I status occurs when arailroad falls below the applicable threshold forthree consecutive years Although Class I railroadsencompasses only 1 percent of the number of rail-roads in the country they account for over 71 per-cent of the industrys mileage operated

Domestic Water TransportThe data are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport their domestic waterborne traffic move-ments to USACE via ENG Forms 3925 and 3925bCargo movements are reported according to pointsof loading and unloading Certain cargo move-ments are excluded 1) cargo carried on general fer-ries 2) coal and petroleum products loaded fromshore facilities directly into vessels for fuel use 3)

Appendix E Data Source and Accuracy Statements

military cargo moved in US Department ofDefense vessels and 4) cargo weighing less than100 tons moved on government equipmentUSACE calculates ton-miles by multiplying thecargorsquos tonnage by the distance between the pointsof loading and unloading

Oil PipelineThe data for 1960 1965 and 1970 are from

Transportation in America published by the EnoTransportation Foundation Inc and the data for1975 to 1998 are from Shifts in Petroleum Trans-portation by the Association of Oil Pipe Lines(AOPL) Enorsquos data are based on information fromthe former Interstate Commerce CommissionrsquosTransport Economics Common carrier oil pipe-lines reported all freight activities to the ICC

AOPL obtains barrel-miles from the FederalEnergy Regulatory Commission (FERC) whichrequires petroleum shippers to report annual ship-ments AOPL then coverts barrel-miles to ton-milesusing conversion figures in the American PetroleumInstitutersquos (APIrsquos) Basic Petroleum Data Book Since16 percent of pipeline shipments are intrastate andnot subject to FERC reporting requirements AOPLmakes adjustments to FERC data

TABLE 1-45 Average Length of Haul Domestic Freight and Passenger Modes

Freight

Air Carrier and TruckThe Eno Transportation Foundation Inc esti-

mated these figures

Class I RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percentreporting by Class I railroads to the Surface Trans-portation Board (STB) via Schedule 700 of the R1Annual Report required of Class I railroads TheSTB defined Class I railroads as having operatingrevenues at or above a threshold indexed to a baseof $250 million (1991) and adjusted annually inconcert with changes in the Railroad Freight RateIndex published by the Bureau of Labor StatisticsIn 2000 the adjusted threshold for Class I rail-

roads was $ 2619 million Declassification fromClass I status occurs when a railroad falls belowthe applicable threshold for three consecutiveyears Although Class I railroads encompassesonly 1 percent of the number of railroads in thecountry they account for over 71 percent of theindustrys mileage operated

WaterThe data are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport their domestic waterborne traffic move-ments to USACE via ENG Forms 3925 and 3925bCargo movements are reported according to pointsof loading and unloading Certain cargo move-ments are excluded 1) cargo carried on general fer-ries 2) coal and petroleum products loaded fromshore facilities directly into vessels for fuel use 3)military cargo moved in US Department ofDefense vessels and 4) cargo weighing less than100 tons moved on government equipmentUSACE calculates ton-miles by multiplying thecargorsquos tonnage by the distance between points ofloading and unloading

Oil PipelineThe Eno Transportation Foundation Inc pro-

vided these figures which are estimates based onUS Department of Energy and Association of OilPipe Lines reports Figures are derived by dividingestimated pipeline ton-miles by estimated crudeand petroleum products tonnage

Passenger

Air CarrierThe US Department of Transportation (USDOT)

the Bureau of Transportation Statistics Office of Air-line Information reports average trip length in itspublication Air Traffic Statistics These numbers arebased on 100-percent reporting of passengers and triplength by large certificated air carriers via BTS Form41 The figures do not include data for all airlinessuch as most scheduled commuter airlines and allnonscheduled commuter airlines

BusThe Eno Transportation Foundation Inc esti-

mated these figures based on Class I carrier passen-

Appendix E Data Source and Accuracy Statements

ger data and vehicle-miles data from HighwayStatistics an annually published report of theUSDOT Federal Highway Administration

Commuter RailThe American Public Transit Association (APTA)

provided these data which are based on theUSDOT Federal Transit Administrationrsquos (FTArsquos)National Transit Database Transit data are gener-ally accurate because the FTA reviews and validatesinformation submitted by individual transit agen-cies Reliability may vary because some transitagencies cannot obtain accurate information ormay misinterpret data APTA conservativelyadjusts FTA data to include transit operators thatdo not report to the database (private very smalland rural operators)

IntercityAmtrakThe Statistical Appendix to the Amtrak Annual

Report is the source of these data Amtrak data arebased on 100 percent of issued tickets and thusshould be accurate

TABLE 1-46 Top US Foreign Trade Freight Gateways by Value of Shipments 2001

The value of US air maritime and land importsand exports are captured from administrative doc-uments required by the US Departments of Com-merce and Treasury In 1990 the United Statesentered into a Memorandum of Understandingwith Canada concerning the exchange of importdata As a consequence each country is using theotherrsquos import data to replace its own export dataUS international merchandise trade statisticstherefore are no longer derived exclusively fromthe administrative records of the Departments ofCommerce and Treasury but from Revenue Can-ada Import value is for US general imports cus-toms value basis Export value is FAS (free alongship) and represents the value of exports at the USport of export including the transaction price andinland freight insurance and other charges Tradelevels reflect the mode of transportation as a ship-ment entered or exited a US Customs port

Truck rail pipeline mail and miscellaneousmodes are included in the total for land modesData present trade activity between the UnitedStates Puerto Rico and the US Virgin Islands andCanada and Mexico These statistics do not

include traffic between Guam Wake Island andAmerica Samoa and Canada and Mexico Thesestatistics also exclude imports that are valued atless than $1250 and for exports that are valued atless than $2500

TABLE 1-49 US Waterborne FreightThe data are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport their domestic waterborne traffic move-ments to USACE via ENG Forms 3925 and 3925bCargo movements are reported according to pointsof loading and unloading Certain cargo move-ments are excluded 1) cargo carried on general fer-ries 2) coal and petroleum products loaded fromshore facilities directly into vessels for fuel use 3)military cargo moved in US Department ofDefense vessels and 4) cargo weighing less than100 tons moved on government equipmentUSACE calculates ton-miles by multiplying thecargorsquos tonnage by the distance between points ofloading and unloading

Foreign waterborne statistics are derived fromCensus Bureau and US Customs data whichexcludes traffic between Guam Wake Island andAmerican Samoa and any other foreign countryand imports and exports used by US ArmedForces abroad Individual vessel movements withorigins and destinations at US ports traveling viathe Panama Canal are considered domestic traffic

TABLE 1-50 Tonnage of Top 50 US Water Ports Ranked by Total Tons

Data on the weight of US maritime imports andexports are captured from administrative docu-ments required by the US Departments of Com-merce and Treasury In 1990 the United Statesentered into a Memorandum of Understandingwith Canada concerning the exchange of importdata As a consequence each country is using theotherrsquos import data to replace its own export dataThe United Statesrsquo merchandise trade statisticstherefore are no longer derived exclusively fromUS government administrative records but fromRevenue Canada Maritime weight data are ini-tially processed and edited by the Foreign TradeDivision US Census Bureau (Census) as part ofthe overall edits and quality checks performed onall US international merchandise trade data

Appendix E Data Source and Accuracy Statements

After Census processing the US Army Corps ofEngineers (USACE) and the Maritime Administra-tion (MARAD) perform additional maritime-spe-cific processing and quality edits on maritime-related data elements including the weight of mari-time imports and exports The USACE andMARAD began performing this function in Octo-ber 1998 after the Foreign Waterborne Trade dataprogram was transferred from the Census BureauPrior to October 1998 the USACE historically per-formed additional specialized edits at the port levelincluding reassignment of some tonnage data to theactual waterborne port rather than the reportedUS Customs port

TABLE 1-46 Modal Shares of Freight Shipments within the United States by Domestic Establishments 1993 and 1997

TABLE 1-52 Value Tons and Ton-Miles of Freight Shipments within the United States by Domestic Establishment 1997

TABLE 1-55 US Hazardous Materials Shipments by Mode of Transportation 1997

TABLE 1-56 US Hazardous Materials Shipments by Hazard Class 1997

These data are collected via the 1997 Commod-ity Flow Survey (CFS) undertaken through a part-nership between the US Department ofCommerce Census Bureau (Census) and the USDepartment of Transportation Bureau of Trans-portation Statistics For the 1997 CFS Censusconducted a sample of 100000 domestic establish-ments randomly selected from a universe of about800000 multiestablishment companies in the min-ing manufacturing wholesale trade and selectedretail industries It excluded establishments classi-fied as farms forestry fisheries governments con-struction transportation foreign services andmost retail

Reliability of the EstimatesAn estimate based on a sample survey potentially

contains two types of errorsmdashsampling and non-sampling Sampling errors occur because the esti-mate is based on a sample not on the entireuniverse Nonsampling errors can be attributed tomany sources in the collection and processing of

the data and occur in all data not just those from asample survey The accuracy of a survey result isaffected jointly by sampling and nonsamplingerrors

Sampling VariabilityBecause the estimates are derived from a sample

of the survey population results are not expectedto agree with those that might be obtained from a100-percent census using the same enumerationprocedure However because each establishmentin the Standard Statistical Establishment List had aknown probability of being selected for samplingestimating the sampling variability of the estimatesis possible The standard error of the estimate is ameasure of the variability among the values of theestimate computed from all possible samples of thesame size and design Thus it is a measure of theprecision with which an estimate from a particularsample approximates the results of a complete enu-meration The coefficient of variation is the stan-dard error of the estimate divided by the valuebeing estimated It is expressed as a percent Notethat measures of sampling variability such as thestandard error or coefficient of variation are esti-mated from the sample and are also subject to sam-pling variability Standard errors and coefficientsof variation for CFS data presented in this reportare given in Appendix B of the 1997 EconomicCensus report and are available online wwwcen-susgoveconwwwse0700html

Nonsampling ErrorsIn the CFS as in other surveys nonsampling

errors can be attributed to many sources including1) nonresponse 2) response errors 3) differences inthe interpretation of questions 4) mistakes in cod-ing or recoding the data and 5) other errors of col-lection response coverage and estimation

A potentially large source of nonsampling erroris due to nonresponse which is defined as theinability to obtain all intended measurements orresponses from selected establishments Nonre-sponse is corrected by imputation

TABLE 1-53 Value of US Land Exports to and Imports from Canada and Mexico by Mode

The Transborder Surface Freight Data (TSFD) isderived from official US international merchan-

Appendix E Data Source and Accuracy Statements

dise import and export data (For a description ofUS merchandise trade statistics see wwwcen-susgovforeign-tradewwwindexhtml) As ofDecember 1995 about 96 percent of the value ofall US imports has been collected electronically bythe Automated Broker Interface System About 55percent of the value of all US exports is collectedelectronically through the USCanada DataExchange and the Automated Export ReportingProgram The balance is collected from adminis-trative records required by the US Departments ofCommerce and Treasury

The TSFD incorporates all data by surfacemode on shipments entering or exiting the UnitedStates from or to Canada or Mexico Prior to Jan-uary 1997 this dataset also included transship-mentsmdashshipments entering or exiting the UnitedStates by way of US Customs ports on the north-ern or southern borders even when the actual ori-gin or final destination of the goods was other thanCanada or Mexico (In other US Bureau of theCensus trade statistics transshipments throughCanada and Mexico are credited to the true coun-try of origin or final destination) To make thisdataset more comparable to other US CensusBureau trade statistics detailed information ontransshipments has been removed The TSFD pre-sents a summary of transshipments by countrydirection of trade and mode of transportationShipments that neither originate nor terminate inthe United States (ie intransits) are beyond thescope of this dataset because they are not consid-ered US international trade shipments

In general the reliability of US foreign tradestatistics is very good Users should be aware thattrade data fields (eg value and commodity classi-fication) are typically more rigorously reviewedthan transportation data fields (eg the mode oftransportation and port of entryexit) Usersshould also be aware that the use of foreign tradedata to describe physical transportation flows maynot be accurate For example this dataset providessurface transportation information for individualUS Customs districts and ports on the northernand southern borders However because of filingprocedures for trade documents these ports mayor may not record where goods physically cross theborder This is because the information filer maychoose to file trade documents at one port whileshipments actually enter or exit at another port

The TSFD however is the best publicly availableapproximation for analyzing transborder transpor-tation flows Since the dataset was introduced inApril 1993 it has gone through several refinementsand improvements When improbabilities andinconsistencies were found in the dataset extensiveanalytical reviews were conducted and improve-ments made However accuracy varies by direc-tion of trade and individual field For exampleimport data are generally more accurate thanexport data This is primarily because the USCustoms Bureau uses import documents forenforcement purposes while it performs no similarfunction for exports For additional informationon TSFD the reader is referred to the US Depart-ment of Transportation Bureau of TransportationStatistics Internet site at wwwbtsgovtransborder

TABLE 1-54 Crude Oil and Petroleum Products Transported in the United States by Mode

PipelinesThe Association of Oil Pipelines (AOPL) obtains

barrel-miles from the Federal Energy RegulatoryCommission (FERC) which requires petroleumshippers to report annual shipments AOPL thenconverts barrel-miles to ton-miles using conversionfigures in the American Petroleum Institutersquos(APIrsquos) Basic Petroleum Data Book Since 16 per-cent of pipeline shipments are intrastate and notsubject to FERC reporting requirements AOPLmakes adjustments to FERC data to include intra-state shipments AOPL also conducts periodicstudies to estimate intrastate shipments

Water CarriersData are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport domestic freight and tonnage information toUSACE via ENG Forms 3925 and 3925b Cargomovements are reported according to points of load-ing and unloading Certain cargo movements areexcluded 1) cargo carried on general ferries 2) coaland petroleum products loaded from shore facilitiesdirectly into vessels for fuel use 3) military cargomoved in US Department of Defense vessels and 4)cargo weighing less than 100 tons moved on govern-ment equipment USACE calculates ton-miles by

Appendix E Data Source and Accuracy Statements

multiplying the cargorsquos tonnage by the distancebetween the points of loading and unloading

Motor CarriersAOPL estimates ton-miles by multiplying tons by

the average length of haul For crude the tonnageof the prior year is projected by using a growth rateestablished by data from the US Department ofEnergy Energy Information Administrationrsquos Petro-leum Supply Annual vol 1 table 37 For productsthe same calculation is made but with a growth rateestimated by the American Trucking Association inFinancial and Operating Statistics Class I and IIMotor Carriers Summary table VI-B Averagelength of haul is determined from the prior six yearsof data for ton-miles and tonnage of crude andpetroleum products moved by motor carriers

RailroadAOPL calculates ton-miles by multiplying ton-

nage by average length of haul Tonnage data forcrude and products comes from the Association ofAmerican Railroadrsquos Freight Commodity StatisticsUS Class I Railroads The US Department ofTransportation Federal Railroad Commission pro-vides the average length of haul for crude andproducts in its Carload Way Bill Statistics

TABLE 1-57 Worldwide Commercial Space Launches

The US Department of Transportation FederalAviation Administration Associate Administratorfor Commercial Space Transportation (AST) licensesand regulates US commercial space launches asauthorized by the Commercial Space Launch Act of1984 and Executive Order 12465 Every commer-cial space launch must be approved and monitoredby AST Thus data reliability is high

TABLE 1-58 Passengers Denied Boarding by the Largest US Air Carriers

TABLE 1-59 Mishandled-Baggage Reports Filed by Passengers with the Largest US Air Carriers

TABLE 1-60 Flight Operations Arriving On Time for the Largest US Air Carriers

These numbers are based on data filed with theUS Department of Transportation on a monthly

basis by the largest US air carriers ndash those thathave at least one percent of total domestic sched-uled-service passenger revenues Data cover non-stop scheduled service flights between pointswithin the United States (including territories) Thelargest US carriers account for more than 90 per-cent of domestic operating revenues They includeAlaska Airlines America West Airlines AmericanAirlines Continental Airlines Delta Air LinesNorthwest Airlines Trans World Airlines South-west Airlines United Airlines and US AirwaysHowever there are other carriers offering domesticscheduled passenger service that are not required toreport In some cases major airlines sell tickets forflights that are actually operated by a smaller air-line that is not subject to the reporting requirement

TABLE 1-61 US Air Carrier Delays Greater than 15 Minutes by Cause

The source of these data the US Department ofTransportation (USDOT) Federal Aviation Admin-istration (FAA) counts a flight as delayed if itdeparted or arrived more than 15 minutes after itsscheduled gate departure and arrival times FAAcalculates delayed departures based on the differ-ence between the time a pilot requests FAA clear-ance to taxi and the time an aircraftrsquos wheels lift offthe runway minus the airportrsquos standard unim-peded taxi-out time Users should note that taxi-out time varies by airport due to differences in con-figurations The cause of delay is also recordedeg weather terminal volume closed runways etc

USDOT guidance defines departure as the timethe aircraft parking brake is released and gatearrival as the time the brake is set According tothe USDOTrsquos Office of the Inspector General(OIG) FAArsquos omission of part of a planersquos groundmovement compromises the datarsquos validity Arecent OIG report noted that the FAA tracksground time only after a pilot requests clearanceand fails to track a planersquos time in the ramp areaOIG found that ramp time comprised 287 percentto 405 percent of the average taxi-out time at thethree major New York area airports (OIG AuditReport CR-2000-112) and would not be countedas an FAA delay

ReliabilitySeveral data collection changes complicate com-

parisons over time For example FAA modified its

Appendix E Data Source and Accuracy Statements

method for calculating volume-related delays thatresulted in a 17 percent drop in such delaysDecreases in volume-related delays from 1998 to1999 totaled less than one percent Moreoverprior to 1999 USDOT did not provide a clear defi-nition of what a departure was An OIG Audit(CE-1999-054) report noted that air carriers usedfour different departure events 1) rolling of air-craft wheels 2) release of parking brake 3) closureof passenger andor cargo doors and 4) a combina-tion of door closures and release of the parkingbreak The same report also noted errors in thereporting of departure times by the air carriers

Data are now manually entered in FAArsquos Opera-tions Network (OSPNET) database and report-ing errors may arise and decrease reliability TheFAA monitors data quality assurance by spotchecking the reported delay data and requestingthat discrepancies be reviewed by the responsiblefacility According to an OIG Audit (CR-2000-112) however mistakes are not reliably correctedand many air traffic controllers suggested thatdelays are underreported sometimes by as muchas 30 percent

TABLE 1-62 Major US Air Carrier Delays Cancellations and Diversions

A second data source for air-carrier delay is theUSDOT Bureau of Transportation StatisticsOffice of Airline Information (OAI) This informa-tion originates from the Airline Service Quality Per-formance data These figures are collected fromthe largest airlinesmdashthose that have at least onepercent or more of total domestic scheduled servicepassenger revenues Delays are categorized byphase of flight (ie gate-hold taxi-out airborneor taxi-in delays) These data differ from FAArsquosOSPNET information due to differences in defini-tion of delay

While the FAA tracks delays on the taxiway run-way and in the air BTS tracks delays at the depar-ture and arrival gates OAI calculates delays as thedifference between scheduled and actual gatedeparture If a flight leaves the gate within 15 min-utes of its scheduled time then OAI would recordit as departed on-time even if it sat for severalhours on the ramp or runway in which case thedelay would be accounted for as a late arrival

TABLE 1-63 Annual Person-Hours of Delay Per Person

TABLE 1-64 Roadway Congestion Index

TABLE 1-65 Congestion Index and Cost ValuesThe Texas Transportation Institutersquos (TTI) Urban

Roadway Congestion Annual Report provided fig-ures for tables 1-60 through 62 TTI relies on datafrom the US Department of Transportation Fed-eral Highway Administration Highway Perfor-mance Monitoring System database (HPMS) TTIutilizes these data as inputs to its congestion estima-tion model Detailed documentation for the TTImodel and estimations can be found at this websitehttpmobilitytamuedu

Structure Assumptions and ParametersUrban roadway congestion levels are estimated

using a formula measuring traffic density Averagetravel volume per lane on freeways and principalarterial streets are estimated using area wide esti-mates of vehicle-miles of travel (vmt) and lanemiles of roadway The resulting ratios are com-bined using the amount of travel on each portionof the system so that the combined index measuresconditions on the freeway and principal arterialstreet systems Values greater than one are indica-tive of undesirable congestion levels Readers seek-ing the algorithm for the congestion index shouldexamine this websitehttpmobilitytamuedu

Annual person-hours of delay results from themultiplication of daily vehicle-hours of incidentand recurring delay times 250 working days peryear times 125 persons per vehicle Two types ofcosts are incurred due to congestion time delayand fuel consumption Delay costs are the productof passenger vehicle hours of delay times $1285per hour person time value times 125 occupantsper vehicle Fuel costs are calculated for passengerand commercial vehicles from the multiplication ofpeak period congestion speeds the average fueleconomy fuel costs and vehicle-hours of delay

In previous reports the TTI methodologyassumed that 45 percent of all traffic regardless ofthe urban location occurred in congested condi-tions TTI indicated that this assumption overesti-mated travel in congested periods Thus their2002 estimates now vary by urban area anywherefrom 18 percent to 50 percent of travel that occurs

Appendix E Data Source and Accuracy Statements

in congestion TTIrsquos model structure applies to twotypes of roads freeways and principal arterialstreets The model derives estimates of vehicle traf-fic per lane and traffic speed for an entire urbanarea Based on variation in these amounts travel isthen classified under 5 categories uncongestedmoderately congested heavily congested severelycongested and extremely congested (a new cate-gory in 1999) The threshold between uncongestedand congested was changed in 2002 Previous edi-tions classified congested travel when areawidetraffic levels reached 14000 vehicles per lane perday on highways and 5500 vehicles per lane perday on principal arterial streets For the currentedition these values are 15500 and 5500 vehiclesper lane per day respectively Previous years valueshave been re-estimated based on these newassumptions Readers should refer to the TTI Inter-net site for more detailed algorithms and estima-tion procedures at httpmobilitytamuedu

TTI reviews and adjusts the data used in theirmodels State and local officials also review the

TTI data and estimations Some of the limitationsacknowledged in the TTI report include the macro-scopic character of the index Thus it does notaccount for local variations in travel patterns thatmay affect travel times The index also does notaccount for local improvements such as rampmetering or travel speed advantages obtained withtransit or carpool lanes

TABLE 1-66 Amtrak On-Time Performance Trends and Hours of Delay by Cause

Amtrak determines on-time performancethrough its computer system maintained at theNational Operations Center (NOPS) in Wilming-ton Delaware If a train is delayed a call is madeto the NOPS for recordkeeping These data can besupplemented with computer entries made forlocomotive or car malfunctions that cause delaysThese data should be considered reliable

Appendix E Data Source and Accuracy Statements

Chapter 2 Safety

AIR DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Injured Persons by Transportation Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-7 Transportation-Related Occupational Fatalities

TABLE 2-9 US Air Carrier Safety Data

TABLE 2-10 US Commuter Air Carrier Safety Data

TABLE 2-11 US Air Carrier Fatal Accidents by First Phase of Operation

TABLE 2-12 US Commuter Air Carrier Fatal Accidents by First Phase of Operation

TABLE 2-13 US On-Demand Air Taxi Safety Data

TABLE 2-14 US General Aviation Safety DataNational Transportation Safety Board investiga-

tors perform onsite and offsite investigations of allaccidents involving US registered air carriers oper-ating under 14 CFR 121 14 CFR 135 and generalaviation US Department of Transportation(USDOT) Federal Aviation Administration (FAA)regulations The investigators compile informationon fatalities and injuries for all accidents Thecounts for fatalities and serious injuries areexpected to be extremely accurate (See glossaryfor serious injury definition)

Exposure data (aircraft-miles aircraft-hoursand aircraft-departures) are obtained from theFAA which in turn gets some of its exposure datafrom the USDOT Bureau of Transportation Statis-tics Office of Airline Information (OAI) and otherexposure data from its own General Aviation andAir Taxi Activity and Avionics (GAATAA) SurveyThe OAI data represent 100 percent reporting byairlines Tables that include air carriers (14 CFR121 scheduled and nonscheduled service) andcommuter air carriers (14 CFR 135 scheduled ser-vice only) use OAI exposure data Tables thatinclude on-demand air taxi (14 CFR 135 non-

scheduled service) and general aviation useGAATAA Survey results For information aboutthe GAATA Survey please refer to the chapter 1data accuracy statement for table 1-9

The coefficients of variation for aircraft-hoursvary by year but are usually in the 9 to 10 percentrange for on-demand air taxi and are approxi-mately 2 percent for general aviation

TABLE 2-15 Number of Pilot-Reported Near Midair Collisions by Degree of Hazard

Near Midair Collision reports are provided vol-untarily by air carriers general aviation companiesand the military and this information is added tothe Near Midair Collisions System database Fac-tors that may influence whether or not a near mid-air collision is reported include the pilotrsquos or othercrew memberrsquos perception of whether a reportablenear midair collision occurred which in turn candepend on factors such as visibility conditions thereporterrsquos flying experience or the size of the air-craft involved A reportable incident is one inwhich an aircraft is within 500 feet of another air-craft and a possibility of collision existed

TABLE 2-16 Airline Passenger Screening Results by Type of Weapons Detected Persons Arrested and Bomb Threats Received

Federal Aviation Regulations (FARs) mandatethat passenger screening be performed by each aircarrier required to implement an approved securityprogram The USDOT Federal Aviation Adminis-tration monitors the records of passenger screen-ing in accordance with FAR and overseescompliance with the carriersrsquo security programsthrough for example scheduled and unscheduledinspections FAR requires the reporting of infor-mation on bomb threats

HIGHWAY DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

Appendix E Data Source and Accuracy Statements

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-5 Highway-Rail Grade-Crossing Safety Data and Property Damage

TABLE 2-7 Transportation-Related Occupational Fatalities

TABLE 2-17 Motor Vehicle Safety Data

TABLE 2-18 Motor Vehicle Fatalities Vehicle-Miles and Associated Rates by Highway Functional System

TABLE 2-19 Occupant Fatalities by Vehicle Type and Nonoccupant Fatalities

TABLE 2-21 Passenger Car Occupant Safety Data

TABLE 2-22 Motorcycle Ride Safety Data

TABLE 2-23 Truck Occupant Safety Data

TABLE 2-24 Bus Occupant Safety Data

TABLE 2-25 Fatalities by Highest Blood Alcohol Concentration in Highway Crashes

TABLE 2-27 Motor Vehicle Fatal Crashes by Day of Week Time of Day and Weather and Light Conditions

TABLE 2-28 Motor Vehicle Fatal Crashes by Posted Speed Limit

TABLE 2-20 Occupant and Nonmotorist Fatalities in Crashes by Number of Vehicles and Alcohol Involvement

FatalitiesHighway fatality data come from the Fatality

Analysis Reporting System (FARS) which is com-piled by trained FARS analysts at USDOTNational Highway Traffic Safety Administration(NHTSA) regional offices Data are gathered froma census of police accident reports (PARs) statevehicle registration files state drivers licensing filesstate highway department data vital statisticsdeath certificates coronermedical examinerreports hospital medical reports and emergencymedical service reports A separate form is com-pleted for each fatal crash Blood alcohol concen-tration (BAC) is estimated when not known

Statistical procedures used for unknown data inFARS can be found in the NHTSA report Transi-tioning to Multiple Imputation - A New Method toImpute Missing Blood Alcohol Concentration(BAC) Values in FARS DOT HS 809 403 (Wash-ington DC January 2002)

Data are collected from relevant state agenciesand electronically submitted for inclusion in theFARs database on a continuous basis Cross-verifi-cation of PARs with death certificates ensures thatundercounting is rare Moreover when data areentered they are checked automatically for accept-able range values and consistency enabling quickcorrections when necessary Several programs con-tinually monitor the data for completeness andaccuracy Periodically sample cases are analyzedfor accuracy and consistency

Note that the FARS data do not include motorvehicle fatalities on nonpublic roads Howeverprevious NHTSA analysis found that these fatali-ties account for 2 percent or fewer of the totalmotor vehicle fatalities per year (See glossary forhighway fatality definition)

Injuries and CrashesNHTSArsquos General Estimates System (GES) data

are a nationally representative sample of police-reported crashes that contributed to an injury orfatality or resulted in property damage andinvolved at least one motor vehicle traveling on atrafficway Trained GES data collectors randomlysample PARs and forward copies to a central con-tractor for coding into a standard GES system for-mat Documents such as police diagrams orsupporting text provided by the officers may befurther reviewed to complete a data entry

NHTSA suggests that about half of motor vehi-cle crashes in the United States are not reported topolice and that the majority of these unreportedcrashes involve minor property damage and no sig-nificant personal injury A NHTSA study of inju-ries from motor vehicle crashes estimated the totalcount of nonfatal injuries at over 5 million com-pared with the GESrsquos estimate of 32 million in1998 (See glossary for highway crash and injurydefinitions)

(See US Department of TransportationNational Highway Traffic Safety AdministrationTraffic Safety Facts 2000 DOT HS 809 337(Washington DC December 2001) appendices B

Appendix E Data Source and Accuracy Statements

and C for further information on GES including atable of standard errors applicable to GES data)

TABLE 2-29 Safety Belt and Motorcycle Helmet Use

The National Occupant Protection Use Survey(NOPUS) conducted biennially between 1994 and2000 by the US Department of TransportationNational Highway Traffic Safety Administration isthe source for these data

In 1994 and 1996 NOPUS consisted of three sep-arate studies 1) the Moving Traffic Study whichprovides information on overall shoulder belt use 2)the Controlled Intersection Study which providesmore detailed information about shoulder belt useby type of vehicle characteristics of the belt usersand child restraint use and 3) the Shopping CenterStudy which provides information on rear-seat beltuse and shoulder belt misuse In 1998 the ShoppingCenter Study was dropped from the survey TheControlled Intersection Study includes the collectionof license plate information to link seat belt use tovehicle type As the results of the Controlled Inter-section Study for 2000 were not available prior topublication only the Moving Traffic Study datawere used in this table

In 1998 NOPUS separated pickups from thelight truck category thereby creating three categor-ies of passenger vehicles passenger cars pickuptrucks and other passenger vehicles Other pas-senger vehicles include vans minivans and sportutility vehicles In this table 1998 and 2000 datafor pickup trucks and other passenger vehicles arecombined into the light truck category to allowcomparison to data from the earlier surveys

In 1994 operators and riders wearing any typeof helmet were counted as helmeted In 19961998 and 2000 motorcycle helmets that meetUSDOT standards are counted as valid protectionwhereas those that do not meet USDOT standardswere treated as if the operatorrider were not wear-ing a helmet

Data collection from the Moving Traffic Studywas conducted at 2063 sites across the countryShoulder belt use was obtained for drivers andright-front passengers only Three observers (twoobservers in 1994 and 1996) were stationed for 30minutes at interstatehighway exit ramps con-trolled (intersections with stop signs or traffic sig-nals) and uncontrolled intersections Every day of

the week and all daylight hours (8 am to 6 pm)were covered in each survey Commercial andemergency vehicles were excluded

NOPUS was designed as a multistage probabilitysample to ensure that the results would representoccupant protection use in the country In the firststage counties were grouped by regions (northeastmidwest south west) level of urbanization (met-ropolitan or not) and level of belt use (highmedium or low) Fifty counties or groups of coun-ties were selected based on vehicle miles of travel inthose locations In the next stage roadways wereselected from two categories major roads andlocal roads Of the originally selected sites somewere found to be ineligible during mapping anddata collection and at some sites no vehicles wereobserved In 2000 a total of 157694 passengervehicles were observed 93916 passenger cars and63778 light trucks (of which 24747 were pickuptrucks and 39031 were other passenger vehicles)645 motorcycles were also observed during the2000 NOPUS

Each reported estimate has been statisticallyweighted according to the sample design Twokinds of error can be attributed to all surveyresearch sampling and nonsampling A measurecalled the standard error is used to indicate themagnitude of sampling error The source informa-tion provides two standard errors along with eachestimate Nonsampling errors could include prob-lems such as vehicles not counted incorrect deter-mination of restraint use and data entry mistakesamong others

TABLE 2-30 Estimated Number of Lives Saved by Use of Restraints

The US Department of TransportationNational Highway Traffic Safety Administration(NHTSA) uses data obtained from the FatalityAnalysis Reporting System to calculate the numberof lives saved by the use of restraints The method-ology used is outlined in a NHTSA reportResearch Note Estimating Lives Saved byRestraint Use in Potentially Fatal Crashes (Wash-ington DC June 1995) The general approach isto adjust the observed number of fatalities by adetermined effectiveness rate for each type ofrestraint This equates to subtracting the actualfatalities from the potential fatalities to determinethe number of lives saved This method is more

Appendix E Data Source and Accuracy Statements

accurate than earlier estimation methods since allcalculations are derived from NHTSArsquos count offatalities in which restraints were used Reportedrestraint use is believed to be accurate for fatalities

The key to NHTSArsquos calculations is the effective-ness estimate for preventing fatalities for each typeof restraint With the exception of an adjustmentin the effectiveness estimate for front outboard airbag-only restraint use in passenger cars (NHTSAFourth Report to Congress Effectiveness of Occu-pant Protection Systems and Their Use Washing-ton DC May 1999) a list of effectivenessestimates can be found in a NHTSA report Esti-mating Alcohol Involvement in Fatal Crashes inLight of Increases in Restraint Use published inMarch 1998This report also includes additionalreferences describing the determination of theseeffectiveness estimates

TRANSIT DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-31 Transit Safety and Property Damage Data

TABLE 2-32 Transit Safety Data by Mode for All Reported Accidents

TABLE 2-33 Transit Safety Data by Mode for All Reported Incidents

TABLE 2-34 Reports of Violent Crime Property Crime and Arrests by Transit Mode

The data for this report are obtained from theUS Department of Transportation Federal TransitAdministrations (FTAs) National Transit Data-base (NTD) Reporting System Transit agenciesare required to file an NTD report at regular inter-vals if they are recipients of Urbanized Area For-mula Funds In 2000 592 agencies reported to theNTD Of that total 67 transit agencies receivedexemptions from detailed reporting because theyoperated 9 or fewer vehicles and 7 were deletedbecause their data were incomplete Thus 518

individual reporters were included in the NTDaccounting for 90 to 95 percent of passenger-milestraveled on transit Of the transit agencies report-ing 237 percent contract for some or all of theirtransportation from private or public companies ororganizations

Transit operators report fatalities injuries acci-dents incidents and property damage in excess of$1000 Electronic reporting has recently beenimplemented for the NTD Certification from acompanyrsquos Chief Executive Officer must accom-pany all NTD reports along with an independentauditorrsquos statement Upon receipt an NTD reportis reviewed and outstanding items noted in writ-ing to the agency that submitted the form (Seeglossary for transit fatality injury and accidentdefinitions)

Four major categories of transit safety are col-lected 1) collisions 2) derailmentsbuses going offthe road 3) personal casualties and 4) fires Thesemajor categories are divided into subcategoriesThe collisions category comprises collisions withvehicles objects and people (except suicides) Ofthe four major categories only the first two areincluded in the definition of transit accidentsadopted in this report (see glossary) Understand-ing this definition of accident is relevant to under-standing how double counting is removed in thegrand total of US transportation fatalities andinjuries (See cross modal comments in box 2-1)

Transit data submitted to the NTD are generallyconsidered accurate because the FTA reviews andvalidates information submitted by individual tran-sit agencies However reliability may vary becausesome transit agencies cannot obtain accurate infor-mation or misinterpret data

SecurityFTA collects security data from transit agencies

serving urbanized areas of over 200000 in popula-tion using Form 405 and manages it in theNational Transit Database (NTD) The reportingof security data follows the FBI Uniform CrimeReporting Handbook (Washington DC 1984) andis divided into two categories 1) ReportedOffenses including violent and property crime and2) Arrests consisting of less serious crimes Thefigures for violent and property crime are based onrecords of calls for service complaints andorinvestigations They do not reflect the findings of a

Appendix E Data Source and Accuracy Statements

court coroner jury or decision of a prosecutorSecurity data were first reported in 1995 and werenot compiled for earlier years

In 2000 the number of agencies reporting to thisdatabase was 592 Of that 67 transit agenciesreceived exemptions from detailed reportingbecause they operated nine or fewer vehicles andseven were deleted because their data were incom-plete Thus 518 individual reporters are includedin the full database in 2000 Of the transit agenciesreporting 237 percent contract for some or all oftheir transportation from private or public compa-nies or organizations

RAILROAD DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-5 Highway-Rail Grade-Crossing Safety Data and Property Damage

TABLE 2-7 Transportation-Related Occupational Fatalities

TABLE 2-35 Railroad and Grade-Crossing Fatalities by Victim Class

TABLE 2-36 Railroad and Grade-Crossing Injured Persons by Victim Class

TABLE 2-37 Train Fatalities Injuries and Accidents by Type of Accident

TABLE 2-38 Railroad Passenger Safety Data

TABLE 2-39 Railroad System Safety and Property Damage Data

TABLE 2-40 Fatalities and Injuries of On-Duty Railroad Employees

Railroads are required to file a report for eachtrain accident resulting in property damage inexcess of $6600 each highway-rail accident andeach incident involving the operation of a railroadresulting in a fatality or a reportable injury (See

glossary for reportable injury train accident andincident and nontrain incident definitions)

Reporting requirements which are fixed in laware very broad and encompass events not strictlyrelated to transportation For example if a passen-ger falls on a staircase and breaks a leg in the sta-tion while going to a train the injury would bereported and appear in the data as a rail injury

WATERBORNE TRANSPORTATION DATA

TABLE 2-1 Transportation Fatalities by ModeTABLE 2-2 Transportation Injuries by ModeTABLE 2-3 Transportation Accidents by ModeTABLE 2-4 Distribution of Transportation Fatalities by ModeTABLE 2-7 Transportation-Related Occupational FatalitiesTABLE 2-41 Waterborne Transportation Safety Data and Property Damage Related to Vessel CasualtiesTABLE 2-42 Waterborne Transportation Safety Data Not Related to Vessel Casualties

US waterborne fatality and injury data arebased on reports required by CFR Part 405-10This code requires that the owner agent master

Box 2-1Cross-Modal Comparisons

Caution must be exercised in comparing fatalities(and injuries) across modes because different defini-tions for reportable events are used among the modesIn particular rail and transit facilities and injuriesinclude deaths and injuries that are not strictly speak-ing caused by transportation accidents but arecaused by such events as a fall on a transit stationescalator or for railroad employees a fire in a work-shed Similar fatalities for the air and highway modes(death at airports not caused by moving aircraft orfatalities from accidents in automobile repair shops)are not counted towards the totals for these modes

Total fatalities (injuries) in the tables are less thanthe sum of the modal totals because some deaths(injuries) are reported and counted in more than onemode To avoid double counting adjustments havebeen made to fatality totals (see table 2-4)

Appendix E Data Source and Accuracy Statements

operator or person in charge file a written reportof any marine casualty or accident within five daysof the accident Reports must be delivered toInvestigative Officers (IOs) at a US Coast GuardMarine Safety Office or Marine Inspection Officeat the US Department of Transportation who usethese reports as guides to investigate the marinecasualty or accident The IO ensures that all theentries on the forms are filled out and errors arecorrected Regulations require IO notification ofmarine casualties for certain circumstances includ-ing loss of life injuries that require medical treat-ment beyond first aid and for individuals engagedor employed onboard a vessel in commercial ser-vice injuries that render a person unfit to performroutine duties

Incidents requiring an investigation includedeath injury resulting in substantial impairmentand other incidents determined important to pro-moting the safety of life or property or to protectthe marine environment These incidents are inves-tigated in accordance with procedures set forth inthe regulations Furthermore the Federal WaterPollution Control Act mandates that certain inci-dents be reported to the US Coast Guard Thereports are entered into the Marine Safety Informa-tion System which is later analyzed and transferredto the Marine Safety Management System main-tained in Washington DC

RECREATIONAL BOATING DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data

TABLE 2-44 Personal Watercraft Safety Data

TABLE 2-45 US Coast Guard Search and Rescue Statistics Fiscal Years

Operators of boats involved in an accidentresulting in 1) a fatality 2) an injury requiring med-ical treatment beyond first aid 3) damage to the

vessel or other property greater than $500 or com-plete loss of vessel or 4) the disappearance of aperson from the vessel under circumstances indicat-ing death or injury are required to file a report withthe US Coast Guard If a person dies within 24hours of the occurrence requires medical treatmentbeyond first aid or disappears from the vesselreports must be made within 48 hours of the occur-rence In cases involving only damage to the vesselandor property reports are to be submitted within10 days of the occurrence Although there is noquantitative estimate of the response rate theremay be considerable underreporting especially ofnonfatal accidents because of the difficulty ofenforcing the requirement and because boat opera-tors may not always be aware of the law

NATURAL GAS AND LIQUID PIPELINE DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-46 Hazardous Liquid and Natural Gas Pipeline Safety and Property Damage Data

US fatality and injury data for natural gaspipelines are based on reports filed with the USDepartment of Transportation (USDOT) Officeof Pipeline Safety (OPS) Accidents must bereported as soon as possible but no later than 30days after discovery Reports are sent to theInformation Systems Manager at the OPS Possi-ble sources of error include a release going unde-tected even if subsequently detected and reportedit may not be possible to accurately reconstructthe accident Property damage figures are esti-mates (See glossary for gas and liquid pipelinefatality data and injury definitions)

TABLE 2-6 Hazardous Materials Safety Data and Property Damage Data

Incidents resulting in certain unintentionalreleases of hazardous materials must be reportedunder 49 CFR 17116 Each carrier must submit a

Appendix E Data Source and Accuracy Statements

report to the US Department of TransportationResearch and Special Programs Administration(RSPA) within 30 days of the incident includinginformation on the mode of transportationinvolved results of the incident and a narrativedescription of the accident These reports are madeavailable on the incident database within 60 daysof receipt

Fatalities and injuries are counted only if theyare directly due to a hazardous material Forexample a truck operator killed by impact forcesduring a motor vehicle crash would not be countedas a hazardous-material fatality RSPA verifies allreported fatalities and injuries by telephone withthe carrier submitting the report

Possible sources of error include a release goingundetected even if subsequently detected and

reported it may not be possible to accuratelyreconstruct the accident Although RSPA acknowl-edges that there is some level of underreporting itbelieves that the underreporting is limited to smallnonserious incidents As incident severityincreases it is more likely that the incident willcome to RSPArsquos attention and will ultimately bereported Additionally the reporting requirementswere extended to intrastate highway carriers onOctober 1 1998 and the response rate from thisnew group is expected to increase over time Prop-erty damage figures are estimates determined bythe carrier prior to the 30-day reporting deadlineand are generally not subsequently updated Prop-erty damage figures therefore may underestimateactual damages

Appendix E Data Source and Accuracy Statements

Chapter 3 Transportation and the Economy

TABLE 3-1a amp 3-1b US Gross Domestic Product Attributed to For-Hire Transportation Services (Current and chained 1996 dollars)

TABLE 3-2a amp 3-2b US Gross Domestic Product Attributed to Transportation-Related Final Demand (Current and chained 1996 dollars)

TABLE 3-3a amp 33b US Gross Domestic Demand Attributed to Transportation-Related Final Demand (Current and chained 1996 dollars)

TABLE 3-4a amp 3-4b Contributions to Gross Domestic Product Selected Industries (Current and chained 1996 dollars)

TABLE 3-5 Gross Domestic Product by Major Social Function

Tables 3-1 through 3-5 present data on transpor-tations contributions to the economy through con-sumption (or the money spent on transportationactivity) The Survey of Current Business (SCB)published by the US Department of CommerceBureau of Economic Analysis (BEA) The SCB is amonthly journal that contains estimates of USeconomic activity including industry contributionsto the Gross Domestic Product (GDP) GDP isdefined as the net value of the output of goods andservices produced by labor and property located inthe United States BEA constructs two complemen-tary measures of GDP-one based on income andthe other on expenditures (product) Togetherthey represent the National Income and ProductAccounts (NIPA) our nations principle frame-work for macroeconomic estimates The productside results from the addition of labor capital andtaxes for producing output Consumption derivesfrom household business and government expen-ditures and net foreign purchases

Table 3-3 presents transportations economicimpact in a different form Gross DomesticDemand (GDD) Also derived from the nationalaccounts GDD is the sum of personal consump-tion gross private domestic investment and gov-ernment purchases GDD includes imports butexcludes exports thus counting only what is con-sumed purchased or invested in the United States

GDP MethodologyThe 1960 through 1985 data in table 3-1 are

from the November 1993 issue of the SCB The1990 through 1991 data and 1992 through 1996data are from an August 1996 and November1997 SCB issue respectively The October 1999issue introduced a revised methodology for GDPestimates (Yuskavage 1996) This section describesBEAs methodology for estimating transportationsshare of GDP

BEAs current-dollar estimates of GDP by indus-try rely on several sources including the Bureau ofLabor Statistics (BLS) the Health Care FinancingAdministration and the Internal Revenue Service(IRS) Some of the tables in this chapter reportchained-dollar figures BEA derived chained dol-lars by using the Fisher Ideal Quantity Index to cal-culate changes between adjacent years (Parker andTriplett 1996 Landerfeld and Parker 1997)Annual changes are then chained to form a timeseries that incorporates the effects of relative priceand output composition changes Please refer topage 142 of the August 1996 issue of the Survey ofCurrent Business for the mathematical formulas(Yuskavage 1996) This method produced sepa-rate estimates of gross output and intermediateinputs for a sectors GDP calculation BEA updatedthe reference year for the chained-dollar estimatesfrom 1992 to 1996

Transportation GDP in chained dollars wasestimated using the double-deflation methodwhich relies on a chain-type quantity index for-mula and requires gross output and intermediateinput information Principal source data for thetransportation categories include 1) operatingrevenues of air carriers and Federal Express fromthe US Department of Transportation and publicsources (air) 2) operating revenues for Class Imotor carriers from historical records of the Inter-state Commerce Commission and Census Bureauannual surveys (trucking and warehousing) 3)BEA personal consumption expenditures (PCE)BLS and trade sources (local and interurban pas-senger transit) 4) operating revenues for Class Irailroads and Amtrak (rail) and 5) other tradesources (pipelines) Data sources for water werenot provided (Yuskavage 1996)

Appendix E Data Source and Accuracy Statements

Table 3-1 reported current dollar estimates fromvarious SCB issues BEA derived the 1991 dataand subsequent years in four steps

1 BEAs benchmark input-output (I-O) tablesproduced input compositions for 1977 1982 and1987

2 BEA estimated 1978 through 1981 and 1983through 1986 input compositions by interpolatingthe 1977 1982 and 1987 figures

3 BEA estimates the 1977 through 1987imported and domestically imported shares of eachdetailed input

4 BEA estimates the 1988 through 1994 inputcompositions based on the 1987 figures and theEconomic Censuses of 1992

For intermediate input estimations BEA deflateseach of the current-dollar inputs (BEA deflatesimport and domestic production separately) Fordeflation quantities are approximated by real val-ues (expressed at present with 1996 as the baseperiod) that are calculated by dividing the current-dollar value of the component by its price indexBEA develops estimates for import prices with datafrom a variety of sources but primarily from theBLS import price series

Reliability and AccuracyBEA views GDP as a reliable measure of output

because of the source data underlying the esti-mates The following reliability comments arebased on the Valliant (1993) SCB article and Ritter(2000) GDP data originate from three types ofsources The foundational data come first from theeconomic censuses conducted every five yearsThese approach complete enumerations of sectoralactivity in state and local governments manufac-turing services retail trade wholesale trade con-struction transportation communications andutilities mining finance insurance and real estateAnnual estimates from the second tier of GDP dataand emanate from sources such as IRS tax returnsand smaller surveys of establishments The AnnualRetail Trade Survey for instance forms one of themajor components of the annual estimates TheUS Census Bureau collects sales and end-of-yearinventory data from about 22000 retail firmstotaling $2 trillion of the $88 trillion GDPamount While considered reliable by many econo-mists sampling variability may introduce errorsinto these annual estimates Moreover the Census

Bureau imputes (substitutes estimates for missingor clearly incorrect data) about 11 percent ofreported national annual retail sales because ofaccounting inconsistencies or raw survey dataerrors The third component of the GDP flowsfrom quarterly estimates

In the October 1993 SCB Valliant described thereliability and accuracy of the quarterly estimates ofGDP providing insights into the pre-1985 data interms of dispersion and bias BEA followed a sched-ule that produced three successive ldquocurrentrdquo esti-mates advanced preliminary and final BEAanalysts developed a dispersion and bias measurebased on the difference between these three estimates

Dispersion is the average of the absolute valuesof the revisions or the difference between P repre-senting the percentage change in the current esti-mates and L representing the percentage change inthe latest available estimates divided by n repre-senting the number of quarterly changes Bias isthe average of the revisions According to theOctober 1993 SCB dispersion averaged 16 per-cent from 1958 to 63 and dropped to 11 percentfor 1968 to 1972 BEA stated that these declines indispersion correspond with more accurate initialand final estimates subsequent to the late 1950sFor years after 1973 until 1991 the BEA con-cluded that more accurate source data for prelimi-nary and final estimates did not improve reliabilityby much BEA also determined that bias was notlarge enough from 1978 to 1991 to be significantunder normality assumptions at the five-percentconfidence level Overall for the period beginningin 1978 and covering the 1985 data from table 3-1the BEA concluded there was no evidence of reli-ability increases BEA also questioned its own esti-mating procedures and in particular the use ofdisparate sources of data which may explain whyreliability levels have not increased

The NIPA framework also undergoes majorupdates referred to as comprehensive or bench-mark revisions Eleven of these have been com-pleted including one in 1996 and most recently onOctober 28 1999 that provided the data for tables3-1 through 3-5 The major change encompassed adefinitional change reflecting our evolving eco-nomic system Software became a business invest-ment rather than just a ldquopurchased inputrdquo or theequivalent of raw material Unless the companyincreased the price of its product to cover software

Appendix E Data Source and Accuracy Statements

purchases no impact registered in the GDP Withthis benchmark revision the Census Bureauincreased the 1996 estimate by $115 billion or 15percentmdashthe amount of software investmentsmade in that year Another change involved theCensus Bureaus interpretation of the value ofldquounpricedrdquo banking services such as ATM (auto-matic teller machine) contributions to an establish-ments productivity Previously banking serviceproductivity relied only on an index constructedfrom labor input Economists argued that thisignored productivity gains from technologicalimprovements such as ATMs and electronic bank-ing The BLS developed a productivity basedinstead of bank transactions and this was used inthe 1999 revision For more detail readers shouldrefer to Moulton and Seskin (1999)

Sources of Error for GDP EstimatesThe GDP estimates can contain several kinds of

error One source of error arises from estimatesbased on preliminary or incomplete tabulations ofsource data or BEA judgment in the absence ofdata Errors may also arise because of samplingerrors and biases in monthly quarterly annual orperiodic tabulations Another source of potentialerror may arise when data are seasonally adjustedReaders should refer to the October 1993 SCBissue for more detail (Young 1993)

NIPA and Transportation-Related Final DemandFor table 3-2 transportation-related final

demand (TRFD) is from NIPA reported in the SCBIt represents the sum of all consumer and govern-ment expenditures for transportation purposesplus the value of goods and services purchased bybusiness as investment for transportation purposesSince TRFD includes only expenditures on the finalproducts of the economy it is comparable to GDPand provides a measure of transportations impor-tance from a consumption perspective

NIPA tables report the composition of produc-tion and the distribution of incomes earned in pro-duction The totals of these produce a GDPestimate that should theoretically be equal butthere is always a difference referred to as the ldquosta-tistical discrepancyrdquo NIPA is based on four subac-counts of national economic activity Theseinclude 1) the personal income and outlay account2) the gross savings and investment account 3) the

government receipts and expenditures account and4) the foreign transactions account

Personal Consumption Expenditures (PCE) fortransportation include 1) road motor vehicles suchas new and used automobiles and motorcycles 2)motor vehicle parts such as tires tubes accesso-ries 3) motor fuels and lubricants and 4) transpor-tation services such as repair greasing washingparking storage rental leasing tolls insuranceand purchased local and intercity transportationservices Motor vehicles used primarily for recre-ation boats noncommercial trailers and aircraftare excluded

Gross private domestic fixed investment in trans-portation includes private purchases of transporta-tion structures and equipment Transportationstructures include railroads and petroleum pipe-lines Transportation equipment consists of auto-mobiles trucks buses truck trailers aircraft shipsand boats and railroad equipment

Goods and services that are counted as part oftransportation-related exports include 1) civilian air-craft engines and parts 2) road motor vehiclesengines and parts 3) passenger fares includingreceipts of US air and oceancruise carriers fortransporting non-US residents between the UnitedStates and foreign countries or between two foreignpoints and 4) other transportation The total forroad motor vehicles engines and parts excludesboats aircraft and noncommercial trailers Othertransportation includes 1) the freight revenues ofUS-operated ocean air and other carriers (eg railpipeline and Great Lakes shipping) for internationaltransport of US exports and for transporting for-eign freight between foreign points 2) port expendi-ture receipts (representing payments for goods andservices purchased in the United States by foreign-operated carriers) and 3) receipts of US ownersfrom foreign operators for the charter of vessels andrental of freight cars and containers

Goods and services that are counted as part oftransportation-related imports include 1) civilianaircraft engines and parts 2) road motor vehiclesengines and parts 3) passenger fares includingpayments to foreign air and oceancruise carriersfor the transportation of US residents between theUnited States and foreign countries or between twoforeign points and 4) other transportation Thetotal for road motor vehicle engines and partsexcludes boats aircraft and noncommercial trail-

Appendix E Data Source and Accuracy Statements

ers Other transportation includes 1) freight reve-nues of foreign-operated ocean air and othercarriers (eg rail pipeline and Great Lakes ship-ping) for international transport of US importsand for the transportation of foreign freightbetween foreign points 2) port expenditurereceipts (representing payments for goods and ser-vices purchased in foreign countries by US-oper-ated carriers) and 3) payments to foreign ownersfrom US operators for the charter of vessels andrental of freight cars and containers

Transportation-related government purchasesinclude federal state and local purchases of trans-portation services and government expenditureson transportation-related structures and equip-ment Federal state and local purchases representthe sum of consumption expenditures and grossinventory Defense-related purchases includeexpenditures on the transportation of materials(care and movement of goods by water rail truckand air) the rental of trucks and other transporta-tion equipment and warehousing fees and travel ofpersons (care and movement of Department ofDefense military civilian employees) includingtickets for all modes of travel per diem taxi faresautomobile rental and mileage allowances for pri-vately owned vehicles

Further ReferencesThis data source and accuracy statement is based

on several papers that have appeared in the SCBData users who desire more methodological detailcan refer to the list of references at the end of thischapter

TABLE 3-6 National Transportation and Economic Trends

The Statistical Abstract of the United States pub-lished by the US Department of Commerce Cen-sus Bureau is the source of the population dataThe Current Population Reports are the source ofthe Abstracts data that are collected through theCurrent Population Survey (CPS) This is amonthly survey administered by the Census Bureauof a scientifically selected sample representative ofthe noninstitutional civilian population in 754areas covering every state and the District ofColumbia Like other surveys the CPS is subjectto sampling error Readers should note that esti-mates based on the CPS may not agree with census

counts because different procedures are usedChanges in the CPS also mean that annual compar-isons must be made with caution For instance in1994 the CPS methodology was dramaticallychanged and the estimates began to incorporate1990 census population controls adjusted for theestimated undercount

Industrial production data come from the Indus-trial Production Index produced by the Board ofGovernors of the Federal Reserve System and pub-lished in the Economic Report of the PresidentFor annual figures individual industrial produc-tion (IP) indexes are constructed from a variety ofsources including the quinquennial Censuses ofManufactures and Mineral Industries the AnnualSurvey of Manufactures prepared by the CensusBureau the Minerals Yearbook prepared by theUS Department of the Interior and publicationsof the US Department of Energy The FederalReserve Board (FRB) uses these data in a modelingframework to produce estimates of industrial pro-duction Below are brief discussions on threemajor sources for the IP indexes the survey ofmanufactures the census of manufactures and theelectric utility survey

Annual Survey of ManufacturersThe Census Bureau conducts a mail survey of

approximately 55000 manufactures with three dif-ferent sample strata The sampling frame is basedon previously surveyed firms and is updated annu-ally based partially on IRS administrative recordsand other sources Large manufactures (shipmentsgt $500 million and gt 250 employees) some com-puter manufacturing firms and all remaining firmswith at least 250 employees are selected Establish-ments with employment generally ranging from 20to 250 employees are sampled with a probabilityproportional to a composite measure of establish-ment size Approximately 5000 of the smallestfirms (5 to 20 employees) are also sampled andreceive a shorter survey instrument Additionalinformation on the survey readers should refer towwwcensusgoveconwwwma0300html

Census of ManufacturersThe Census of Manufactures collects data

through mail surveys from approximately 237000multiunit and single-unit firms with a minimumpayroll figure This census is supplemented by IRS

Appendix E Data Source and Accuracy Statements

administrative data from over 142000 firms notcontacted by mail For additional information onthe census readers should refer to wwwcensusgoveconwwwma0100html

Electric Utility SurveySince 1971 the FRB has conducted the Monthly

Survey of Industrial Electricity Use based onresponses from utilities and manufacturing andmining firms that are cogenerators This survey isthe basis for estimates of the amount of electricitypower used by 120 industrial sectors More than40 industrial production series estimates are basedon data from this survey and compose 28 percentof the Industrial Production Index in 1994 value-added proportions

Survey responses are voluntary and are gatheredfrom a panel of 175 utilities and 186 cogeneratingcompanies with a monthly response rate near 95percent In 1992 an additional 71 new cogenera-tors joined the panel This resulted according toan FRB statistical analysis in a decrease of thestandard deviation of errors for electricity growthrates from 30 to 19 percentage points Overallthe estimates for total power use produce a stan-dard error of about 05 percentage points Thepanel accounts for approximately 73 percent ofindustrial electric power use in the United States

The Survey of Current Business published bythe US Department of Commerce Bureau of Eco-nomic Analysis is the source of GDP estimatesReaders should refer to the source and accuracystatement for tables 3-1 through 3-5 for informa-tion on GDP estimates

TABLE 3-7 Passenger and Freight Transportation Expenditures

Detailed information from the source was notavailable at the time of publication Readers shouldcontact the Eno Transportation Foundation Incdirectly for information about methodologies andreliability

TABLE 3-8 Sales Price of Transportation Fuel to End-Users

The US Department of Energy Energy Informa-tion Administrations (EIAs) Monthly EnergyReview tables 94 and 97 provided price dataexcept for railroad fuel Pre-1981 data were

reported by the EIA from Bureau of Labor Statisticsreports Beginning in 1983 the EIA administered aseries of surveys to collect data on petroleum pricesmarket distribution supply and demand The EIA-782 series encompasses three surveys 1) Form EIA-782A RefinersGas Plant Operators MonthlyPetroleum Product Sales Report 2) Form EIA-782BResellersRetailers Monthly Petroleum ProductSales Report and 3) Form EIA-782C MonthlyReport of Prime Supplier Sales of Petroleum Prod-ucts Sold for Local Consumption

EIA developed a method for comparing datafrom the new surveys with older information gath-ered by various methods As a result a number ofadjustment factors were developed and used toldquobackcastrdquo price estimates Readers who require amore detailed description of this methodologyshould refer to EIAs petroleum data publicationsweb page (wwweiadoegovoil_gaspetroleumpet_framehtml) and the explanatory notes section

Changes in sample elements or collection meth-ods may affect data continuity Two regulatorychanges affected data collection in October 1993The Clean Air Act Amendments of 1990 requiredthat oxygenated gasoline be sold in the wintermonths in ozone nonattainment areas Thus theEIA-782 forms were modified to collect informa-tion on fuels divided among conventional oxygen-ated and reformulated categories Secondrequirements for the production and selling of low-sulfur diesel were required and necessitated the sep-aration of diesel fuel into high- and low-sulfur cate-gories Moreover surveys prior to October 1993did not include propane The EIA followed severaldifferent sampling designs during two periods inthe 1980s and thus there may be some price esti-mate discontinuity for periods between December1983 and January 1984 as well as between Augustand September of 1988

Data CollectionThe 782 series occurs on a monthly schedule via

mail The 782A and 782C surveys reflect a censusof about 115 and 190 firms respectively The782B samples about 2000 firms The EIA firststratifies by sales volume for the form 782B surveyto ensure that dealers with 5 percent or more of themarket are captured with certainty The remainingelements of the frame were assigned a probabilityof selection to form a 2200 firm survey These

Appendix E Data Source and Accuracy Statements

ldquononcertaintyrdquo companies were poststratified bygeographic area and type of sales category

Data ReliabilityEIA has studied its sampling effects on reliability

and determined that the sample size of 2000 shouldyield a less than 1-percent price coefficient of varia-tion in its estimates Errors can arise because of non-response but an EIA official indicated that theresponse rates for the 1997-1999 782A B and C sur-veys averaged 95 percent 86 percent and 96 percentrespectively Because survey data invariably containincomplete data (because of reporting errors or non-response) EIA estimates or ldquoimputesrdquo missing dataReaders requiring imputation algorithms should referto the 782 series explanatory notes referred to above

TABLE 3-9 Price Trend of Gasoline v Other Consumer Goods and Services

Data in this table were reproduced from theAmerican Petroleum Institutes (API) Basic Petro-leum Data Book API noted that data reportedprior to 1981 was obtained from Platts Oil PriceHandbook and Oilmanac Platts is part of Stan-dard and Poors and an independent third partyorganization that tracks the petroleum industryPlatts reported the retail price of gasoline based ontelephone interviews with gas stations in 55 citiesMore detailed historical information on their datacollection methods could not be ascertained and thedatas reliability is uncertain API reported theBureau of Labor Statistics (BLS) as its data sourcefor 1981 to 2001 retail gasoline prices The remain-der of this section discusses the BLS Consumer PriceIndex (CPI) data collection and estimation methodsused to derive the average retail price of gasoline

BLS uses the CPI as a measure of average pricechanges paid by urban consumers for a fixed bas-ket of goods and services BLS estimates the CPIwith a survey-based approach Survey resultsdefine a categorization of goods and services a rep-resentative sample of items to track and weightsaccording to the consumption of an average con-sumer during a base period

Sample DesignBLS relies on two sampling frames for their CPI

estimates One represents the universe of retailoutlets from which households may purchase

defined groups of commodities and services includ-ing gasoline A second represents householdsacross urban areas Moreover the householdframe is based on an ldquourban-consumerrdquo popula-tion and consists of households in MetropolitanStatistical Areas (MSAs) and in urban places withmore than 2500 inhabitants This ldquoall urbanrdquo CPI(CPI-U) provides the estimates for retail gasolineprices shown in table 3-9 Thus this frame doesnot represent non-urban consumers

For the retail outlet sampling frame BLS relieson the Point-of-Purchase Survey (CPOPS) con-ducted by the Census Bureau in 94 Primary Sam-pling Units (PSUs) identified by BLS PSUs arebased on urban counties groups of contiguousurban counties or MSAs For the household sam-ple a noncompact clustering procedure wasemployed which dispersed households evenlywithin a Census enumeration district (ED) Moredetailed sampling design information can be foundin BLSs Handbook of Methods at httpstatsblsgovopubhomhomhomehtm

Prices for the goods and services used to calcu-late the CPI are collected in 91 PSUs located in 85urban areas throughout the country The samplesize for the CPOPS totals about 21000 retail andservice establishments-supermarkets departmentstores gasoline stations hospitals etc Food fuelsand a few other items are priced monthly in all 85locations BLS field representatives collect all priceinformation through visits or telephone calls in thehousehold surveys Price changes are computedbased on a sample of outlets selected from loca-tions identified by consumers Specific sampleitems are then selected from each sample outlet toensure that the market basket is representative ofwhere households shop

EstimationBLS routinely updates its price estimates for spe-

cific items among the collection of goods and ser-vices for example a new car model year BLSemploys three techniques to produce new price esti-mates First an item that is directly comparable tothe previous discontinued good will be used to pro-vide a price estimate However a substitute itemmay be inappropriate when goods change slightly intheir characteristics BLS relies on Hedonic regres-sion modeling as a second ldquoquality adjustmentrdquo forprice estimates This statistical technique can model

Appendix E Data Source and Accuracy Statements

the importance of various quality characteristics thatadd value to a particular good (the fiber content andconstruction of apparel products for instance) Aresearcher can estimate a Hedonic regression modelthat identifies the factors most important is deter-mining the price of a good and BLS field representa-tives will note these in their data collectionImputation is a third quality adjustment used forldquononcomparablerdquo substitutions where BLS esti-mates the price change from previous averagesDetailed algorithms can be found in chapter 17 ofthe BLS Handbook of Methods at httpstatsblsgovopubhomhomhomehtm

Effective January 1999 BLS began using a newformula for calculating the basic components ofthe Consumer Price Index for all Urban Consumers(CPI-U) and the Consumer Price Index for UrbanWage Earners and Clerical Workers (CPI-W) Thenew formula the geometric mean estimator is usedin index categories that comprise approximately 61percent of total consumer spending represented bythe CPI-U Based on BLS research it is expectedthat use of the new formula will reduce the annualrate of increase in the CPI by approximately 02percentage points per year Additional informationon this change was published in the April 1998 CPIDetailed Report and is available on the Internet athttpstatsblsgovcpihomehtm

AccuracyOne of the CPIs limitations is that it represents

price movements for urban residents and may notcorrectly represent nonurban consumption pat-terns The CPI may also contain sampling errorbecause it is estimated from a sample of consumerpurchases Nonsampling error may occur ifrespondents provide BLS field representatives withinaccurate or incomplete information Anotherpotential source of error identified by BLS mayoccur because of a time lag between the Point-of-Purchase Survey and the initiation of price collec-tion for commodities and services at resampledoutlets Because of the time lag the productsoffered by the outlet at the time pricing is initiatedmay not coincide with the set from which theCPOPS respondents were purchasing

The CPI is also subject to response error whendata are not collected because of nonresponse BLSestablished a nonresponse auditing program in1986 It reported that response rates in 1990 for

transportation commodities and services wereabove 90 percent

BiasFour categories of bias were identified in the BLS

report Measurement Issues in the Consumer PriceIndex published in 1997 First because of the fixed-weight nature of the index the CPI creates substitu-tion bias by placing too much weight on items mea-sured in previous surveys from which consumersmay have shifted away Second the study foundthat the index did not account for consumersswitching to discount stores Third a qualitychange bias was also identified when the differencesbetween goods priced in two different periods can-not be accurately measured nor deduced from theaccompanying price difference between the goodsFinally the report noted that the CPI also had a newproduct bias because the index inadequatelyreflected consumer value of products introducedinto the market The commission concluded thatthe CPI overstated the true cost-of-living change by11 percentage points per year

TABLE 3-10 Producer Price Indices for Transportation Services

TABLE 3-11 Producer Price Indices for Transportation Equipment

Data shown in these tables are drawn fromannual issues of The Supplement to Producer PriceIndexes published by the Bureau of Labor Statistics(BLS) in the US Department of Labor Theseindexes represent a measure of outputs in allgoods-producing American industries as well aspartial coverage of service industries includingtransportation BLS defines a price as the net reve-nue accrued to a specified production establish-ment from a specified kind of buyer for a specificproduct shipped under specific transaction termson a specified day of the month BLS collects thisdata series through surveys of a sample of estab-lishments that report their prices from economictransactions

Data CollectionA BLS field economist visits an establishment or

cluster of establishments selected for price sam-pling The economist uses a disaggregation proce-

Appendix E Data Source and Accuracy Statements

dure to select a sample of transactions from all theestablishments revenue-producing activities Thisdisaggregation procedure assigns a probability ofselection to each shipping or receipt category pro-portionate to its value within a reporting unit Inmost cases the final price index produced by theBLS requires that 1) there are at least three differ-ent respondents to a survey 2) at least two report-ing units provide price information in a givenmonth and 3) no single respondent accounts for50 percent or more of the weight for a given item

BLS regional offices review field data for consis-tency and completeness The national office thenconducts a final review and a survey is then tai-lored specifically to establishments or clusters ofestablishments BLS refers to these as repricingschedules and sends them to reporting establish-ments on a regular basis Most prices refer to areporting schedule on a particular day of themonth usually the first Tuesday or the 13th of amonth

EstimationBLS collects prices for over 100000 items It

utilizes several different weighting schemes for thenumerous indexes produced because some prod-ucts will have a greater effect on the movement ofgroupings of individual products BLS utilizes thenet output of shipment values as weights for the 4-digit SIC industries Net output values includeonly shipments from establishments in one industryto other industry establishments and thus differfrom gross shipment values The latter wouldinclude shipments among establishments in thesame industry even if those establishments are sep-arate firms BLS also makes seasonal adjustmentsif statistical tests and economic rationale justifythem and computes data when a participatingcompany does not deliver a price report BLS basesthe missing price estimation on the average of pricechanges for similar products reported by otherestablishments

AccuracyAs in all surveys the accuracy of producer price

indexes depends on the quality of information vol-untarily provided by participating establishmentsOne of the accuracy concerns of BLS revolvesaround the preferred use of realistic transactionprices (including discounts premiums rebates

allowances etc) rather than list or book pricesBefore BLS fully changed its data collectionmethod in 1986 a survey indicated that about 20percent of traditional commodity indexes werebased on list prices The newer and more system-atic methodology decreased the use of list pricesBLS documentation (available at httpstatsblsgovopubhom) provided no more detailson sampling error response rates or the availabil-ity of generalized variance parameters or tech-niques for estimating them

TABLE 3-12 Personal Expenditures by Category

TABLE 3-13 Personal Consumption Expenditures on Transportation by Subcategory

Data used in these tables are from the Bureau ofLabor Statistics Annual Report of ConsumerExpenditure Survey The Consumer ExpenditureSurvey (CEX) collects information from UShouseholds and families on their buying habits(expenditures) income and consumer characteris-tics The strength of the survey is that it allowsdata users to relate the expenditures and income ofconsumers to the characteristics of those consum-ers BLS uses 11 standard characteristics to classifyconsumers including income before-tax incomeclass age size of the consumer unit compositionof the consumer unit number of earners housingtenure race type of area (urban or rural) regionand occupation

The CEX is a national probability sample ofhouseholds The sampling frame (ie the list fromwhich housing units are chosen) for this survey isgenerated from the 1990 census 100-percent detailfile which is augmented by a sample drawn fromnew construction permits Coverage improvementtechniques are also utilized to eliminate recognizeddeficiencies in the census

Data CollectionThe current survey consists of two separate sur-

veys (Interview and Diary) each utilizing a differ-ent data collection technique and sample Data iscollected for each survey from approximately5000 households In the Interview survey eachconsumer unit (CU) in the sample is interviewedevery three months over five calendar quartersThe interviewer uses a structured questionnaire to

Appendix E Data Source and Accuracy Statements

collect both the demographic and expenditure datain the Interview survey The interviewer collectsthe demographic data in the Diary survey whereasthe respondent enters the expenditure data on thediary form Both surveys accept proxy responsesfrom any eligible household member who is at least16 years old if an adult is not available after a fewattempts to contact that person The respondentfamily completes the Diary (or recordkeeping) sur-vey at home for two consecutive one-week periods

A reinterview program for the CEX providesquality control The program provides a means ofevaluating individual interviewer performance todetermine how well the procedures are being carriedout in the field A member of the supervisory staffconducts the reinterview Subsamples of approxi-mately 6 percent of households in the Interview sur-vey and 17 percent in the Diary survey arereinterviewed on an ongoing basis A new diaryform with more categories and expanded use of cuesfor respondents was introduced in 1991 based onresults from earlier field and laboratory studies

EstimationMissing or invalid data on demographic or work

experience are imputed No imputation is done formissing data on expenditures or income Selectedportions of the Diary data are also adjusted by auto-mated imputation and allocation routines whenrespondents report insufficient detail to meet publi-cation requirements These procedures are per-formed annually on the data The imputationroutines assign qualifying information to data itemswhen there is clear evidence of invalid nonresponse

The statistical estimation of the population quanti-ties of interest such as the average expenditure on aparticular item by a CU or the total number of CUs ina particular demographic group is conducted via aweighting scheme Each CU included in the survey isassigned a weight that is interpreted as representingthe number of similar families in the universe of inter-est the US civilian noninstitutional populationReaders should refer to httpstatsblsgovopubhomhomch16_chtm for the detailed weighting method

Beginning with 1997 data BLS introduced a newcalibration method to compute weights in the Con-sumer Expenditure Survey The weights are calcu-lated using a model-assisted design-basedregression estimator

AccuracyThe Consumer Expenditures Survey is a sample

survey and hence is subject to two types of errorsnonsampling and sampling Nonsampling errorscan be attributed to many sources such as differ-ences in the interpretation of questions inability orunwillingness of the respondent to provide correctinformation mistakes in recording or coding thedata obtained and other errors of collectionresponse processing coverage and estimation formissing data The full extent of nonsampling erroris unknown Sampling errors occur because thesurvey data are collected from a sample and notfrom the entire population Tables with coeffi-cients of variation and other reliability statistics areavailable on request from the national officeHowever because the statistics are shown at thedetailed item level the tables are extensive

TABLE 3-14 Cost of Owning and Operating an Automobile

Your Driving Costs produced by the AmericanAutomobile Association (AAA) provided the datafor this table Prior to 1985 the cost figures are fora mid-sized current model American car equippedwith a variety of standard and optional accessoriesAfter 1985 the cost figures are for a composite ofthree current model American cars

1 A 1999 Chevrolet Cavalier LS2 A 1999 Ford Taurus SEL Deluxe and3 A 1999 Mercury Grand Marquis LSThus the estimates are not reliable estimates for

all carsFuel costs were based on an average price of

$1195 per gallon of regular unleaded gasolineweighted 20 percent full-serve and 80 percent self-serve Insurance figures were based on personaluse of vehicles driven less than 10 miles to or fromwork with no young drivers Normal depreciationcosts were based on the vehicles trade-in value atthe end of four years or at 60000 miles AmericanAutomobile Association (AAA) analysis coversvehicles equipped with standard and optionalaccessories including automatic transmission airconditioning power steering power disc brakesAMFM stereo driver-and passenger side air baganti-lock brakes cruise control tilt steering wheeltinted glass emission equipment and rear windowdefogger

Appendix E Data Source and Accuracy Statements

TABLE 3-15a amp 3-15b Average Passenger Fare (Current and chained 1996 dollars)

TABLE 3-18 Total Operating Revenues

AirThe US Department of Transportation Bureau

of Transportation Statistics (BTS) Office of AirlineInformation reports passenger fares and operatingrevenues in its publication Air Carrier FinancialStatistics These numbers are based on 100 percentreporting by large certificated air carriers Minorerrors from nonreporting may occur but amount toless than one percent of all passenger or freightactivity The figures do not include data for all air-lines such as most scheduled commuter airlinesand all nonscheduled commuter airlines

Class I BusClass I passenger motor carriers are required to

report financial and operating information to BTSusing form MP-1 (Prior to 1996 Class I carrierswere required to report to the Interstate CommerceCommission) Class I passenger motor carriers aredefined as those having annual gross operating rev-enues as adjusted for inflation of $5000000 ormore This table does not include Class I carrierswhose data had not been received at the time ofpublication Thus these data do not representtotal Class I passenger motor carrier activity

TransitThe American Public Transit Association (APTA)

reports these figures which are based on theannual National Transit Database (NTD) reportpublished by the USDOT Federal Transit Adminis-tration (FTA) The legislative requirement for theNTD is found in Title 49 USC 5335(a) Transitagencies receiving funds through the UrbanizedArea Formula Program are generally required toreport financial and operating data including capi-tal expenditures revenues and expenses Thesedata are generally considered accurate because theFTA reviews and validates information submittedby individual transit agencies Reliability may varybecause some transit agencies cannot obtain accu-rate information or misinterpret certain data defi-nitions APTA conservatively adjusts FTA data toinclude transit operators that do not report to the

database (private and very small operators andrural operators)

RailData are from Railroad Facts published annually

by the Association of American Railroads (AAR)AAR figures are based on 100-percent reporting byall nine Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1 AnnualReport STB defines Class I railroads as havingoperating revenues at or above a threshold indexedto a base of $250 million in 1991 and adjustedannually in concert with changes in the RailroadFreight Rate Index published by the Bureau ofLabor Statistics In 2000 the adjusted threshold forClass I railroads was $ 2619 million Declassifica-tion from Class I status occurs when a railroad fallsbelow the applicable threshold for three consecutiveyears Although Class I railroads comprise only 1percent of the number of railroads in the countrythey account for over 71 percent of the industrysmileage operated 91 percent of total freight rail rev-enue and 88 percent of railroad employment

IntercityAmtrakAverage passenger fare data are based on 100

percent of issued tickets and thus should be accu-rate Created as a publicly-owned for-profit corpo-ration Amtrak collects its own financial data andreports this information in its annual reportAuditing should ensure the accuracy of the operat-ing revenue figures

Trucking and Courier Services (except air)The Census Bureaus Transportation Annual Sur-

vey (formerly known as the Motor Freight Transpor-tation and Warehousing Survey) is the source of thisinformation The sample survey represents allemployer firms with one or more establishmentsengaged primarily in providing commercial motorfreight transportation or public warehousing servicesIt excludes motor carriers that operate as auxiliaryestablishments to nontransportation companies aswell as independent owner-operators with no paidemployees Thus the data do not represent the totaltrucking industry

In 1999 Transportation Annual Survey wasmerged with the Census Bureaus Service AnnualSurvey (SAS) and is the source of data for years1998 and later SAS provides estimates of operating

Appendix E Data Source and Accuracy Statements

revenue of taxable firms and revenue and expensesof firms exempt from federal income taxes forselected service industries Unlike the Transporta-tion Annual Survey the SAS is based on the NorthAmerican Industry Classification System (NAICS)

As with all sample surveys two types of errorsare possible sampling and nonsampling Non-sampling errors may include response errors andmistakes in coding or keying data For additionalinformation about the survey and data reliabilitythe reader is referred to the Census Bureau websiteat wwwcensusgov

Water (Domestic)Eno Transportation Foundation Inc is the source

of these data Eno estimates these figures by multi-plying ton-mile figures by estimated revenue per ton-mile The US Army Corps of Engineers reports theton-mile figures in its publication Waterborne Com-merce of the United States and the revenue per ton-miles figures are estimated by Eno

Oil PipelineEno Transportation Foundation Inc publishes

these data which are based on Federal Energy Reg-ulatory Commission (FERC) data and reported bythe Oil Pipeline Research Institute for years 1977to the present FERC data originates from requiredquarterly reports filed by pipeline companies Priorto 1977 the data are based on the former Inter-state Commerce Commission data for regulatedpipelines and estimated to be 16 percent of thetotal of nonregulated pipelines

Gas PipelineThese statistics originate from Gas Facts pub-

lished annually by the American Gas Association(AGA)AGA data are based on gas utilities partici-pation and reporting to the Uniform StatisticalReport and estimates for those companies notreporting based on recent historical experienceVarying percentages of nonreporters from year toyear introduce minor reliability problems for time-series comparisons

TABLE 3-19 Employment in For-Hire Transportation and Selected Transportation-Related Industries

Employment data by industry are from theNational Employment Hours and Earnings esti-

mates published by the Bureau of Labor Statistics(BLS) US Department of Labor These estimatesoriginate from the Current Employment Statistics(CES) survey program The CES is a monthly sur-vey conducted by state employment security agen-cies in cooperation with the BLS The surveyprovides employment hours and earnings esti-mates based on payroll records of nonfarm busi-ness establishments including government

BLS uses a stratified sample based on a sectorsemployment size or the degree of variability amongits establishments or both This ensures that BLScaptures a more representative survey from employ-ers with large payrolls Thus large establishmentsare certain of selection while smaller ones have lessof chance

Data CollectionData are collected electronically from about two-

thirds of the respondents and by mail or fax fromthe remainder The primary type of electronicreporting is touch-tone phone self-response othersare computer-assisted phone interviews and phonevoice recognition technology Increasingly data arecollected through electronic data interchange froma small but growing number of companies thathave a large number of establishments across thecountry Mail respondents submit Form 790 to theBLS each month It is then edited and returned tothe respondent for use again the following monthAll firms with 250 employees or more are asked toparticipate in the survey as well as a sample ofsmaller firms

EstimationEmployment estimates are made at what is

termed the basic estimating cell level and aggre-gated upward to broader levels of industry detailby simple addition Basic cells are defined byindustry (usually at the 3- or 4-digit SIC level) andare stratified within industry by geographic regionandor size class in the majority of cases Withinthe wholesale trade retail trade and services divi-sions most industries are stratified into three tofive size classes (beginning in 1984)

Most national employment estimates are multi-plied by bias adjustment factors to produce themonthly published estimates Bias adjustment fac-tors are used primarily to compensate for theinability to capture the entry of new firms on a

Appendix E Data Source and Accuracy Statements

timely basis New firms contribute a substantialamount to employment growth each year but thereis a lag between the creation of a firm and its inclu-sion on the sample frame (ie the UnemploymentInsurance universe file) It is therefore necessaryto use modeling techniques to capture this segmentof the population BLS also performs seasonaladjustments for certain SIC industries

AccuracyBLS does not publish data reliability information

along with estimates Instead it provides estima-tion formula and the necessary parameters so thatusers can estimate standard errors For additionalinformation see the Explanatory Notes and Esti-mates of Error in the BLS monthly publicationEmployment and Earnings

The CES survey which began over 50 years agopredates the introduction of probability samplingas the internationally recognized standard for sam-ple surveys Instead a quota sample has been usedsince its inception Quota samples are at risk forpotentially significant biases and recently com-pleted BLS research suggests that despite the largeCES sample size employment estimates based onthat sample at times diverge substantially fromthose that a more representative sample wouldhave been expected to produce This leads to anover-reliance on bias adjustment in the estimationprocedure Because bias adjustment is primarilybased on past experience it is limited in its abilityto accurately reflect changing economic conditionson a timely basis

Government EmploymentThe Office of the Secretary provides employment

figures for the US Department of Transporta-tion State and local highway department employ-ment figures are from the State and LocalGovernment Employment and Payroll Estimatespublished by the US Department of CommerceBureau of the Census The data are for the 50states and the District of Columbia Employmentand payroll data pertain to the month of OctoberAt present data are collected for one pay periodthat includes October 12 (regardless of the periodslength) through the Public Employment Survey(PES)

Employment refers to all persons gainfullyemployed by and performing services for a govern-

ment Employees include all persons paid for per-sonal services performed from all sources of fundsincluding persons paid from federally funded pro-grams paid elected officials persons in a paid leavestatus and persons paid on a per meeting annualsemiannual or quarterly basis Excluded fromemployment statistics are unpaid officials pension-ers persons whose work is performed on a feebasis and contractors and their employees

The Census Bureau derives full-time equivalent(FTE) employment by summing the number of full-time employees reported and converting the numberof hours worked by part-time employees to a full-time equivalent amount Up until 1985 data themethod used to calculate FTEs was based solely onpayroll data Effective with 1986 data the annualemployment survey started collecting data on thenumber of hours worked by part-time employees inorder to provide a more accurate representation offull-time equivalent employment No October 1985FTE employment data are available

Beginning in 1999 the Public Employment Sur-vey (PES) was conducted using a separate sampleof approximately 11000 government units toimprove data accuracy and survey efficiency Gov-ernment units meeting any of the following criteriaare included in the survey 1) counties with popu-lations greater than 100000 2) cities with popula-tions greater than 75000 3) townships in NewEngland and Mid-Atlantic with populationsgreater than 50000 4) special districts with FTEsgreater than 1000 5) independent school districtswith enrollment greater than 10000 and 6) alldependent and independent schools providing col-lege level education In 1999 government unitswere sampled to obtain a relative standard error of3 percent or less for FTE and total payroll for eachof the states by type of government groups

Prior to 1993 the PES used a joint sample ofapproximately 24000 units for both employmentand finance From 1993 to 1998 the sample sizewas reduced to around 14000 units The standarderror for the PES prior to 1999 was designed to bearound 3 percent for major state- or county-levelestimates of finance variables (state-level for 1993-1998 and county-level prior to 1993) Employmentestimates are made using regression except whenthe number of noncertainty cases contributing tothe estimate is less than 20 where a simple unbi-ased estimate is used

Appendix E Data Source and Accuracy Statements

TABLE 3-20 Employment in Transportation Occupations

TABLE 3-22 Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by Detailed Occupation

Employment by detailed transportation occupa-tion data are from the Occupational EmploymentStatistics (OES) survey collected by the Bureau ofLabor Statistics (BLS) The OES is a periodic mailsurvey of nonfarm establishments that collects occu-pational employment data on workers by industryThe OES program surveys approximately 725000establishments in 400 detailed industries The aver-age response rate for the last three years accordingto a BLS official averaged about 70 percent

The sample is selected primarily from the list ofbusiness establishments reporting to the state unem-ployment insurance program The OES sample ini-tially stratifies the universe of establishments bythree-digit industry code and size- class code Estab-lishments employing 250 employees or more aresampled with certainty Establishments employingfewer than 250 employees but more than 4 employ-ees are sampled with probability proportional to thesize class employment within each three-digit indus-try Establishments employing four or feweremployees (ie size class 1 establishments) are notsampled Instead the employment for these estab-lishments are accounted for by assigning a largersampling weight to establishments employing five tonine employees (ie size-class 2 establishments)Within each three-digit industrysize- class cellestablishments are systematically selected into thesample through a single random start

Data CollectionEmployers are the source of occupational data

Within establishments the main source of occupa-tional data reported by respondents is personnelrecords Data are collected from respondents pri-marily by mail Occasionally visits are made tolarge employers and to other respondents whoindicate particular difficulty in completing thequestionnaires Ordinarily two mailings followthe initial mailing After the third mailing a sub-sample of the remaining nonrespondents is drawnand contacted by telephone The OES survey fol-lows a 3-year cycle Three surveys are conducted

alternately for manufacturing nonmanufacturingand the balance of nonmanufacturing industries

EstimationDuring the sample selection process each sam-

pled establishment is assigned a sampling weightthat is equal to the reciprocal of its probability ofselection For example if an establishment on thesampling frame had a 1 in 10 chance of beingselected into the sample then its sampling weight is10 For establishments that did not respond to thesurvey a nonresponse adjustment factor is calcu-lated and applied against the sampling weights ofthe responding establishments within each state3-digit industrysize-class cell Multiplying theseadjustment factors by sampling weights increasesthe weight of the responding establishments so theycan account for the missing employment data ofthe nonresponding establishments

AccuracyThe OES survey uses a subsample replication

technique to estimate variances in occupationalemployment at the 3-digit industrysize-class levelFor additional information on occupationalemployment estimates and measurements of sam-pling error associated with the estimates the readeris referred to httpstatsblsgovoeshomehtm

TABLE 3-21 Average Wage and Salary Accruals per Full-Time Equivalent Employee by Transportation Industry

TABLE 3-23 Total Wage and Salary Accruals by Transportation Industry

The Survey of Current Business (tables 63c and66c) published by the US Department of Com-merce Bureau of Economic Analysis is the sourceof transportation wage and salary data These esti-mates are based on BLS tabulations of employeewages that are covered by State unemploymentinsurance As a component of the income side ofNational Income and Product Account wages andsalaries comprise part of the GDP calculationThese data reflect the monetary remuneration ofemployees in terms of wage accruals less disburse-ments It is defined as the difference between wagesand salaries on a ldquowhen-earnedrdquo basis or accruedand wages and salaries on a ldquowhen-paidrdquo or dis-

Appendix E Data Source and Accuracy Statements

bursed basis This computation was instituted in1992 because a significant portion of bonus pay-ments were missed in previous calculations Readersshould also refer to the earlier discussion of GDPmethods and reliability for more detail

TABLE 3-24 Labor Productivity Indices for Selected Transportation Industries

The Bureau of Labor Statistics (BLS) Industry Pro-ductivity Measures is the source of transportationlabor productivity data BLS develops industry pro-ductivity measures based on various data sources

For rail BLS uses freight ton-mile and passengermiles that are collected by the Surface TransportationBoard (STB) the Association of American Railroads(AAR) and Amtrak BLS also aggregates four differ-ent air transportation outputs to form a single pro-ductivity index domestic passenger-miles domesticfreight ton-miles international passenger-miles andinternational freight ton-miles Air transportationdata come from Air Carrier Traffic Statistics and AirCarrier Financial Statistics published by the USDepartment of Transportation Bureau of Transpor-tation Statistics For petroleum pipeline BLS relies ondata from the Association of Oil Pipelines and derivedan output index based on trunkline barrel-miles Abarrel-mile is one barrel of petroleum moved throughone mile of pipeline

EstimationBLS generally calculates labor productivity by

dividing an index of output (in this case ton-miles)by an index of hours Output is derived with aweight adjusted Tornqvist formula that producesan output ratio for one year BLS then combinesthese in a series that produces a chained outputindex The hour indexes are developed from datain BLSs Current Employment Statistics (CES seediscussion above for table 3-12) and are the resultsof dividing the annual aggregate hours for eachyear by a base-period figure Readers who needmore detail such as mathematical specifications orequations should refer to Kunze and Jablonski(Kunze and Jablonski 1998) or call the Office ofProductivity and Technology at BLS

AccuracyBLS provides no measures of reliability How-

ever BLS makes an assumption that transportation

outputs should be measured using the productionof passenger-miles or freight-miles Another schoolof thought might assume that many transportationfirms or facilities are actually providing capacityrather than actual use Thus an argument can bemade that productivity should be based on capac-ity rather than use In fact this is how BEA mea-sures transportation output To evaluate the BLSassumption one study compared the twoapproaches by examining the different growthrates produced by BLS and BEA and found that in25 of 35 service industries the differences arewithin one percentage point For transportationdifferences in growth rates across BLS and BEAestimates were two percentage points or less(Kunze and Jablonski 1998)

Beginning with 1997 data the indices for busand petroleum pipelines did not meet BLS publica-tion standards and are considered less reliable thanthose for other modes These industries hadbetween 14000 and 15000 employees far belowthe 50000-employee threshold established fortransportation industries by BLS However theyboth met a basic test of variability of the annualpercent changes in the output per hour measure

GOVERNMENT REVENUES AND EXPENDITURES

TABLE 3-25a amp3-25b Federal State and Local Government Transportation-Related Revenues and Expenditures Fiscal Year (Current and constant 1996 dollars)

TABLE 3-26a amp 3-26b Federal Transportation-Related Revenues Fiscal Years (Current dollars and constant 1996 dollars)

TABLE 3-27a amp 3-27b Federal Transportation-Related Expenditures by Mode Fiscal Year (Current and constant 1996 dollars)

TABLE 3-28 Cash Balances of the Transportation-Related Federal Trust Funds Fiscal Year

The main sources for federal-level data are theBudget of the United States Government and theAppendix to the Budget These data are the actualfigures as reported for the various transportation-related programs in the appendices of each years

Appendix E Data Source and Accuracy Statements

budget document1 The figures are consistent fromyear to year and follow the definitional structurerequired by the Office of Management and Budget(OMB)

Primary sources for state and local transporta-tion-related revenues and expenditures data arecensuses and surveys collected by the US CensusBureau All units of government are included inthe Census of Governments which is taken at five-year intervals for years ending in 2 or 7 and thesedata are full counts which are not subject to sam-pling error

State and local government data for noncensusyears are obtained by annual surveys which aresubject to sampling error For US totals of localgovernment revenues and expenditures in thisreport sampling variability is less than 3 percent

Federal figures in this report correspond to thefederal fiscal year which begins on October 1while state and local data are for fiscal years thatgenerally start in July While this may create asmall error in totals for any given year the data aresuitable for illustrating trends in public transporta-tion finance Programs terminated before 1985 areexcluded from the tables The totals for transpor-tation revenues and expenditures in this report arethe sum of the Census Bureaus state and localnumbers plus the total of the federal numbers

The source of the chained dollar deflators is TheNational Income and Product Account TablesBureau of Economic Analysis table 71 ldquoQuantityand Price Indexes for Gross Domestic ProductrdquoAll inflation-adjusted data are for the base year1996 instead of 1992 as in previous editions ofNational Transportation Statistics Note that defla-tors used for the federal data differ from those usedfor state and local data Thus if expenditures aretotaled across different levels of government in

chained dollars before and after federal grant trans-fers the totals will not match

Transportation RevenuesTransportation revenue estimates include trans-

portation-related user charges taxes or fees ear-marked for transportation-related expendituresEstimates include transit fares from systems ownedand operated by state and local governmentsincluding those systems operated under contract bya private firm under day-to-day financial oversightby government

Federal transportation revenues generally consistof trust-fund collections from user charges such asfuel taxes vehicle taxes registration and licensingfees and air passenger ticket taxes Damage pay-ments made by private parties are deposited in thefunds to reimburse the government for related fundexpenditures

The five transportation-related Federal trustfunds are established by law

1 Highway Trust Fund (HTF) which includesboth highway and transit accounts

2 Airport and Airway Trust Fund (AATF)3 Harbor Maintenance Trust Fund (HMTF)4 Inland Waterways Trust Fund (IWATF) and 5 Oil Spill Liability Trust Fund (OSLTF)

Highway RevenuesThe Highway Trust Fund (HTF) was established

by the Highway Revenue Act of 1956 HighwayTrust Fund revenues are derived from variousexcise taxes on highways users (eg motor fuelmotor vehicles tires and parts and accessories fortrucks and buses) and interest earned on balancesThe Transportation Equity Act for the 21st Cen-tury (TEA-21) which was enacted in June 1998made important changes to the Federal HighwayTrust Fund legislations (FHWA 1999)bull extension of deposit provisions of almost all

highway user taxes through September 30 2005

bull after September 30 1998 the HTF can no longer earn interest on balances and the bal-ance in the highway account would be trans-ferred to the general fund

bull TEA-21 keys Federal-aid highway funds to receipts of the Highway Account of the HTF and

1 The federal budget is broken down into 20 functionalcategories of which one is transportation (function 400)Function 400 is not tied to any one department or agencybut instead aggregates transportation functions wherever inthe federal government they occur Thus the transportationfunction may include many activities such as highway con-struction and safety airways and airports maritime subsi-dies US Coast Guard operations railroads and masstransit It also covers grants-in-aid programs to support stateand local activities A good summary of the federal budgetprocess can be found in Stanley E Collender The Guide tothe Federal Budget Fiscal Year 1996 (Washington DCUrban Institute Press 1995)

Appendix E Data Source and Accuracy Statements

bull the Transit Account share of fuel tax rose from 2 cents per gallon to 286 cents per gallon

The Excise tax on gasoline is the most importantsource of the HTF revenues and has changed fivetimes since 1985 It increased from 9 cents per gallonin 1985 to 91 cents per gallon on January 1 1987 to141 cents per gallon on December 1 1990 to 184cents per gallon on October 1 1993 to 183 cents pergallon on January 1 1996 and to 184 cents per gal-lon on October 1 1997 (FHWA 1999)

Money paid into the fund is earmarked primarilyfor the Federal-aid Highway program which isapportioned to states for planning constructingand improving the nationrsquos highway system roadsand bridges Effective April 1983 the HighwayRevenue Act of 1982 created the Mass TransitAccount within the HTF

Some portion of the HTF is dedicated to budgetdeficit reduction and the Leaking UndergroundStorage Tank Trust Fund (LUSTTF) For example43 cents per gallon of the federal excise tax on gas-oline has been assigned to the general fund sinceJanuary 1 1996 and 01 cents per gallon wasapportioned to the LUSTTF since October 1 1997(FHWA 1999) These funds are not considered astransportation-related in this report

State and local highway revenues include stateand local taxes on motor fuels motor vehiclelicenses and motor vehicle operator licenses alongwith state and local charges for regular toll high-ways and local parking charges Regular highwaycharges (revenues) include reimbursements forstreet construction and repairs fees for curb cutsand special traffic signs and maintenance assess-ments for street lighting snow removal and otherhighway or street services unrelated to toll facili-ties Local governments use special assessmentsand property taxes that may be commingled withother local revenue in a general fund to financelocal road and street programs Consistent withfederal revenues state and local transportation rev-enues in this report do not include general fundsthat may be allocated to transportation

Transit RevenuesAs mentioned above the Highway Revenue Act

of 1982 created the Mass Transit Account withinthe HTF Effective April 1983 the act providedone cent per gallon of the federal excise tax on gas-oline sales to be set-aside for the Mass Transit

Account to help finance transit capital projectsThe rate was increased to 15 cents per gallon onDecember 1 1990 to 2 cents per gallon on Janu-ary 1 1996 and to 286 cents per gallon on Octo-ber 1 1997 (FHWA 1999) Although highwayusers pay these taxes the funds are treated as fed-eral transit revenues

State and local transit revenues include revenuesfrom operations of public mass transportation sys-tems (rapid transit subway bus railway and com-muter rail services) such as fares charter feesadvertising income and other operations revenuesThey exclude subsidies from other governments tosupport either operations or capital projects

Air RevenuesThe Tax Equity and Fiscal Responsibility Act of

1982 as amended by Omnibus Budget Reconcilia-tion Acts of 1990 and 1993 the Small Business JobProtection Act of 1996 and the Taxpayers ReliefAct of 1997 provides for the transfer of receiptsreceived in the US Treasury from the passengerticket tax and certain other taxes paid by airportand airway users to the Airport and Airways TrustFund (AATF) Effective October 1 1997 the Tax-payers Relief Act of 1997 extends aviation excisetaxes for 10 years and includes the following majorprovisions (FAA 1999)

1 retains existing freight way bill general avia-tion fuel and gas taxes and a 6-dollar departuretax on domestic flights to and from Alaska andHawaii

2 converts the 10 percent ad valorem tax ondomestic passenger tickets to a combination of advalorem and flight segment tax over three yearsbeginning October 1 1997

3 imposes a new 75 percent tax on payments toairlines for frequent flyer and similar awards bybanks and credit card companies merchants fre-quent flyer program partnersmdashother airlines hotelsor rental car companies and other businesses

4 increases the current 6-dollar internationaldeparture tax to 12 dollars per passenger and addsa 12-dollar international arrival tax

5 lowers tax rates on flights to certain rural air-ports to 75 percent without a flight segment com-ponent and

6 transfers revenues from the 43 cents-per-gallon aviation fuel taxes currently dedicated to

Appendix E Data Source and Accuracy Statements

reduce the national US deficit from the generalfund to the AATF

Most of this trust fund is used to finance the Fed-eral Aviation Administrationrsquos (FAArsquos) capital pro-grams namely Facilities and Equipment ResearchEngineering and Development and AirportImprovement Program Within certain limits set byCongress some of the remaining money is used tocover FAA operation and maintenance expensesThe portion of the FAArsquos operation and Mainte-nance expenses not paid from the trust fund reve-nues are financed by US Treasury general funds

State and local revenues from air transportationare derived from airport charges Beginning in1992 local governments began collecting passen-ger facility charges and spending these revenues(both subject to FAA approval) to finance capitalprograms

The collection of passenger facility charges wasauthorized by the Aviation Safety and CapacityExpansion Act of 19901

Waterway and Marine RevenuesFederal water revenues come from four primary

sources the Harbor Maintenance Trust Fund(HMTF) the Inland Waterways Trust Fund(IWATF) the Oil Spill Liability Trust Fund(OSLTF) and tolls and other charges collected bythe Panama Canal Commission

The Harbor Maintenance Trust Fund was estab-lished in accordance with the Harbor MaintenanceRevenue Act of 1986 Revenues for this fund arederived from receipts of a 0125 percent ad valo-rem user fee imposed on commercial users of speci-fied US ports Saint Lawrence Seaway tolls OnMarch 31 1998 per a US Supreme Court rulingthe tax on exports was terminated (OMB 2000)This fund is used to finance up to 100 percent ofthe US Army Corps of Engineersrsquo harbor opera-tion and maintenance (OampM) costs includingOampM costs associated with Great Lakes naviga-tional projects and the fund fully finances theoperation and maintenance of the Saint LawrenceSeaway Development Corp

The Inland Waterways Trust Fund was estab-lished by the Inland Waterways Revenue Act of1978 and amended by the Water Resources Devel-opment Act of 1986 The trust fund has been in

effect since fiscal year 1981 The sources for thefund are taxes imposed on fuel for vessels engagedin commercial waterway transportation and invest-ment interest From this tax of 243 cents per gal-lon 43 cents goes for deficit reduction and astatutory maximum of 20 cents (raised to that levelfrom the previous maximum of 19 cents at thebeginning of 1995) goes to the Trust Fund Thefunds are earmarked for financing one-half of theconstruction and rehabilitation costs of specifiedinland waterway projects

The Oil Spill Liability Trust Fund was estab-lished by the Omnibus Budget Reconciliation Actof 1989 Revenues for this fund are raised throughtax collection of 5 cents on each barrel of oil pro-duced domestically or imported (OMB 1999)The resources from this fund are used to finance oilpollution prevention and cleanup activities by vari-ous federal agencies For the US Coast Guard thefund finances oil spill recovery and payment ofclaims Beginning in 1997 the fund also financesthe annual disbursement to the Prince WilliamSound Oil Spill Recovery Institute

The Panama Canal Commission was establishedby the Panama Canal Act of 1979 to manage oper-ate and maintain the Panama Canal under thePanama Canal Treaty of 1977 The treaty periodended on December 31 1999 when the Republicof Panama assumed full responsibility for thecanal During the treaty period the commissioncollected tolls and other revenues which weredeposited in the US Treasury in an accountknown as the Panama Canal Revolving FundMoney from this fund was used to finance canaloperations and capital programs which werereviewed annually by Congress The revenuesreported under this category for FY 2000 are forthe first quarter (October 1999 ndash December 1999)of Panama Canal operations

State and local water revenues are derived fromcanal tolls rents from leases concession rents andother charges for use of commercial or industrialwater transport and port terminal facilities andrelated services Fees and rents related to waterfacilities provided for recreational purposes suchas marina and public docks and toll ferries are notincluded

1 Public Law 101-508 104 Stat 1388 (Nov 5 1990)

Appendix E Data Source and Accuracy Statements

Rail RevenuesThere are no governmental transportation reve-

nues for rail (Rail generates fuel taxes that are des-ignated for deficit reduction and thus are notconsidered transportation revenues in these tables)

Pipeline RevenuesThe Pipeline Safety Program is funded by user

fees assessed on a per-mile basis The assessmentsare made on each pipeline operator regulated bythe Office of Pipeline Safety (OPS) of the Researchand Special Programs Administration (RSPA) in theUS Department of Transportation There are nostate and local revenues for pipeline

General Support RevenuesGeneral support revenues come from the Emer-

gency Preparedness Fund which is generated fromfees paid by registered shippers of hazardous mate-rials RSPA administers and distributes the reve-nues to states territories and tribes through theHazardous Materials Emergency Preparedness(HMEP) grant program which is authorized byFederal Hazardous Materials Transportation Law

Transportation ExpendituresExpenditures rather than obligations are used

in these tables because they represent the finalactual costs to the government by year for capitalgoods and operating services required by transpor-tation programs Obligations suggest governmentcommitment to future transportation expendituresbut do not indicate when the funds will actually bedisbursed or even if the amounts obligated will bespent

It is important to recognize that in someaccounts in the Budget of the United States Gov-ernment expenditures for a particular year under-state total government disbursements This isbecause certain offsetting collections of fees andassessments from the public are not treated as gov-ernment revenues but deducted from disburse-ments to determine expenditures These collectionsare those mandated by statute to directly fundagency expenditures rather than be transferred tothe US Treasury For this reason expenditures donot necessarily indicate how much the federal gov-ernment actually spends on transportation eachyear

Highway ExpendituresFederal Highway Administration (FHWA) expen-

ditures include funds for Federal Aid Highways(financed from the HTF) and the Interstate Substitu-tion and Railroad Crossing Demonstration(financed from the general fund) The NationalHighway Traffic Safety Administration (NHTSA)expenditures include operations research andhighway traffic safety grants Federal highwayexpenditures also include road construction activi-ties managed by the Department of the InteriorsNational Park Service Bureau of Indian AffairsBureau of Reclamation and Bureau of Land Man-agement the Department of Agricultures ForestService the Department of Housing and UrbanDevelopment and other federal agencies

State and local governments highway expendi-tures reported by the Census Bureau are generallyslightly lower than those reported in FHWAsHighway Statistics because the FHWA includessome highway expenditure data such as lawenforcement activities and patrols and policing ofstreets and highways not included in the Censusdata Box 3-1 outlines the major differences inCensus Bureau and FHWA calculation of state andlocal highway transportation financial statistics

Transit ExpendituresFederal expenditures include grants to states and

local agencies for the construction acquisition andimprovement of mass transportation facilities andequipment and for the payment of operatingexpenses Several other items are also includedFederal Railroad Administration (FRA) commuterrail subsidies related to the transition of Conrail tothe private sector research and administrativeexpenses of the Federal Transit Administration(FTA) and Federal interest payment contributionto the Washington Metropolitan Area Transporta-tion Authority (WMATA)

Air ExpendituresFederal expenditures reported here consist of all

FAA expenditures such as those associated withconstructing operating and maintaining thenational air traffic system administration of theairport grant program safety regulation andresearch and development NASA expenses relatedto air transportation are also included

Appendix E Data Source and Accuracy Statements

State and local expenditures for air include theoperation and maintenance of airport facilities asadministered by local airport and port authoritiesquasigovernment agencies with responsibilities forpromoting safe navigation and operations for airmodes

Waterway and Marine ExpendituresFederal expenditures comprise those parts of the

US Coast Guards expenses that are transporta-tion-related such as aids to navigation marinesafety and marine environmental protection Allexpenses of the US Maritime Administration areincluded such as subsidies for construction andoperation of vessels by US-flag operatorsresearch and development and training of shipofficers Also included are those expenses of theUS Army Corps of Engineers for construction andoperations and maintenance of channels harborslocks and dams protection of navigation the sala-ries and expenses of the Federal Maritime Commis-sion and the expenses of the Panama CanalCommission Expenditures of the Panama CanalCommission for FY 2000 include outlays for thefirst quarter of operations including severance payand accumulated leave FY 2001 expenses are forthe settlement of remaining accident and contractclaims against the Commission

State and local governments incur water trans-portation expenditures by operating and maintain-ing water terminal facilities within ports andharbors

Rail ExpendituresFederal rail transportation expenditures include1 expenses for rail safety enforcement2 inspection and program administration3 railroad research and development4 financial assistance to states for planning

acquisition rail facility construction and trackrehabilitation with respect to low volume freightlines

5 grants to Amtrak including funds to upgradethe high-speed line between Boston Massachu-setts and Washington DC owned by Amtrak (theNortheast Corridor Improvement Program)annual appropriations to cover operating lossesand funds to invest in new equipment and facilities

6 the purchase of redeemable preference sharesfor track rehabilitation and line acquisition and

7 loan guarantee defaults for railroad rehabilita-tion and improvement and Conrail labor protection1

The local rail freight assistance program a pro-gram of FRA grants to state governments has hada 7030 percent federal-state funding share since1982

Pipeline ExpendituresThe Office of Pipeline Safety (OPS) reimburses

state agencies up to 50 percent of their costs tocarry out state pipeline safety programs Federalexpenditures are for the enforcement programsresearch and development and grants for statepipeline safety programs

General Support ExpendituresGeneral fund expenditures include all of the

expenses of the following agencies Office ofInspector General National Transportation SafetyBoard all expenses of the Research and SpecialPrograms Administration (except pipeline expen-ditures) and the Office of the Secretary of Trans-portation (except for payments to Air Carriers andthe Commission on Aircraft Safety)

Limitations of the Source Data SetsThe database covers civilian transportation-

related activities of government agencies includingthose of the US Army Corps of Engineers and USCoast Guard

As mention earlier federal government data arecompiled for the federal fiscal year which beginson October 1 while state and local data are for fis-cal years that generally start in July except for fourstates with other starting dates (Alabama andMichigan in October New York in April andTexas in September) While this may create a smallerror in totals for any given year the data are suit-able for illustrating trends in public transportationfinance

Readers should note that state and local govern-ments data for census years are full counts and notsubject to sampling errors whereas the data for

1 Funds in the Conrail Labor Protection Program wereprovided for benefits to Conrail employees deprived ofemployment because of work force reductions and otheractions This program no longer exists since Conrail hasbeen returned to the private sector In 1988 the unobligatedbalances available from this program were transferred to theUSCG and in 1990 they were returned to the US Treasury

Appendix E Data Source and Accuracy Statements

noncensus years are estimated from annual surveysof the Bureau of the Census which are subject tosampling variability of less than three percent TheCensus Bureaursquos database also does not includedetailed modal information on interest earningsand bond issue proceeds on the revenue side norbond retirement and interest payments on theexpenditure side

RevenuesTransportation-related revenues like local gov-

ernment property taxes on vehicles equipmentand streets and state income taxes to support railand intercity bus services are not covered becausethey are not shown in the source materials used tocompile the database In addition taxes collectedfrom users of the transportation system that gointo the general fund are not included For exam-ple rail generates fuel taxes that are designated fordeficit reduction and hence are not considered as

transportation revenues The portion of the High-way Trust Fund (HTF) that goes to the generalfund is not considered as transportation revenues

ExpendituresIt is important to recognize that in some

accounts in the Budget of the United States Gov-ernment expenditures for a particular year under-state total government disbursements This isbecause certain offsetting collections of fees andassessments from the public are not treated as gov-ernment revenues but deducted from disburse-ments to determine expenditures These collectionsare those mandated by statute to be applieddirectly to finance agency expenditures rather thanbeing transferred to the Treasury

In addition the Census Bureaursquos highway expen-ditures data do not include highway law enforce-ment expenditures which form a part of the stateand local highway expenditures published in the

Box 3-1US Census Bureau and Federal Highway Administration Calculations of State and Local TransportationFinancial Statistics Differ in the Following Ways

Item Census FHWA

Motor fuel tax revenues Includes state and local tax reve-nues on any fuel used in motorvehicles and on gasoline used byaircraft

Includes state and local fuel taxrevenues attributed to highway useof fuels including diesel fuel gas-ohol and liquefied petroleum gasused by private and commercialhighway use motor vehicles andtransit Does not include revenueson gasoline used by aircraft

Motor vehicle license tax revenues Includes vehicle mileage andweight taxes on motor carriershighway use taxes or off-high-way fees

Does not include vehicle mileageand weight taxes on motor carri-ers highway use taxes or off-high-way fees

Local parking charges revenues Includes local parking revenues Not explicitly collected

Highway expenditures Excludes patrols or policing ofstreets and highways traffic con-trol activities of police or publicsafety agencies law enforcementand safety activities of vehicleinspection enforcement and vehi-cle size and weight enforcementstreet cleaning activities androads within parks maintained bya park agency

Includes patrols or policing ofstreets and highways traffic con-trol activities of police or publicsafety agencies law enforcementand safety activities of vehicleinspection enforcement and vehi-cle size and weight enforcementstreet cleaning activities and roadswithin parks maintained by a parkagency

Appendix E Data Source and Accuracy Statements

Highway Statistics To maintain consistencybetween the different modes regarding the types ofexpenditures included these additional data fromthe Highway Statistics report have not been used

Data AdjustmentsRevisions and corrections to previously pub-

lished data have been made in most cases Thebase year for chained dollar estimates for currentdata sets is 1996 while the earlier version was pre-sented in chained 1992 dollars Moreover the fol-lowing adjustments have been incorporated

RevenuesTransportation-related revenues of the Aquatic

Resources Fund have been added to water trans-portation revenues In this case only the excise taxcharged on motor boat fuels for the Boat SafetyProgram is assumed to be transportation-related

The preceding data series did not account forrevenues of Pollution Fund Off-Shore Oil Pollu-tion Fund and Deep Water Port Liability Fundprior to FY 1990 The current data sets includesrevenues for these funds prior to FY 1990

ExpendituresNot all expenditures for the US Coast Guard

(USCG) as reported by the Office of Managementand Budget are considered transportation-relatedA new approach has been used to arrive at moreaccurate USCG transportation-related expendi-tures Similar to the previous approach the cur-rent approach includes all expenditures forEnvironmental Compliance and Restoration Alter-ation of Bridges and Oil Spill Recovery Part ofthe expenditures for Operations Acquisition Con-struction and Improvement Research amp Develop-ment and Test and Evaluation are considered astransportation Within these program areas onlyAids to Navigation Marine Safety and MarineEnvironmental Protection activities are included inthe earlier data sets In the current version moreactivities like Search and Rescue and Ice Opera-tions have been included In addition Boat SafetyProgram expenditures have also been included

Trust fund share of pipeline safety was added tothe Research and Special Programs Administrationexpenditures since FY 1994 This item was notcovered in the previously published data

Federal GrantsFederal grants to state and local governments for

the Boat Safety Program have been includedThese were not included in the previously reporteddata

Data for federal transit grants are obtained fromthe Office of Management and Budget public budgetdatabase In the previous data series they were esti-mated by deducting direct federal transit expendituresgrants from the total federal transit expenditures

REFERENCES

Corrado C C Gilbert et al (1997) ldquoIndustrialProduction and Capacity Utilization HistoricalRevision and Recent Developmentsrdquo FederalReserve Bulletin 83(2) 67

Korn EL and BI Graubard 1991 ldquoA Note onthe Large Sample Properties of Linearization Jack-knife and Balanced Repeated Replication Methodsfor Stratified Samplesrdquo The Annals of Statistics 19(4)2275-2279

Krewski D and JN K Rao 1981 ldquoInferencefrom Stratified Samples Properties of Lineariza-tion Jackknife and Balanced Repeated ReplicationMethodsrdquo The Annals of Statistics 9(5)1010-1019

Kunze K and M Jablonski (1998) Productivityin Service-Producing Industries Brookings Work-shop on New Service-Sector Data WashingtonDC

Landerfeld J S and R P Parker (1997) ldquoBEAsChain Indexes Time Series and Measures of Long-term Economic Growthrdquo Survey of Current Busi-ness 77(5) 58

Moulton BR and EP Seskin (1999) ldquoA pre-view of the 1999 Comprehensive Revision of theNational Income and Product Accounts StatisticalChangesrdquo Survey of Current Business 79 (October1999) 6-17

Parker R P and J E Triplett (1996) ldquoChain-Type Measures of Real Output and Prices in theUS National Income and Product Accounts anUpdaterdquo Business Economics 31 (4) 37

Appendix E Data Source and Accuracy Statements

Ritter JA (2000) ldquoFeeding the NationalAccountsrdquo Federal Reserve Bank of St LouisReview MarchApril11-20

SCB (1991) ldquoGross Domestic Product as a Mea-sure of US Productionrdquo Survey of Current Business

Seskin E P and R P Parker (1998) ldquoA Guideto the NIPAsrdquo Survey of Current Business78(3)26

US Department of Labor Bureau of Labor Sta-tistics1997 Measurement Issues in the ConsumerPrice Index Referenced at httpstatsblsgovcpigm697htm on May 13 1999

Valliant R 1993 ldquoPoststratification and Con-ditional Vairance Estimationrdquo Journal of theAmerican Statistical Association 88 (421)89-96

Young A H (1993) ldquoReliability and accuracyof the Quarterly Estimates of GDPrdquo Survey of Cur-rent Business 73(10) 29

Young A H and H S Tice (1985) ldquoAn Intro-duction to National Economic Accountingrdquo Sur-vey of Current Business 65 59

Yuskavage R E (1996) ldquoImproved Estimatesof Gross Product by Industry 1959-94rdquo Survey ofCurrent Business 76(8) 133

Appendix E Data Source and Accuracy Statements

Chapter 4 Energy and the Environment

PETROLEUM SUPPLY

TABLE 4-1 Overview of US Petroleum Production Imports Exports and Consumption

The petroleum supply system is extremely com-plicated with many different processes productsand entities involved Briefly crude oil is producedor imported transported to refineries where it isrefined into various products and then transportedto markets Imports and exports of crude oil andproducts must be accounted for as must be nonpe-troleum components of final products such as nat-ural gas plant liquids and ethanol for gasolineblending

The US Department of Energy Energy Informa-tion Administration (EIA) collects extensive data atselect points in the petroleum supply system Six-teen surveys are conducted by EIAs PetroleumSupply Reporting System to track the supply anddisposition of crude oil petroleum products andnatural gas plant liquidsbull five weekly surveys cover refineries (form

EIA-800) bulk terminal stocks (form EIA-801) product pipelines (form EIA-802) crude stocks (form EIA-803) and imports (form EIA-804)

bull eight monthly surveys cover the same five points plus tanker and barge movement (form EIA-817) gas processing facilities (form EIA-816) and oxygenates (form EIA-819M)

bull one survey (form EIA-807) collects propane data on a monthly basis in the warmer months (April-September) and on a weekly basis in the colder months

bull one annual survey determines production capacity of oxygenates and fuel ethanol (form EIA-819A) and

bull one annual survey determines refinery fuel use capacity and crude oil receipts by trans-portation mode (form EIA-820)

The five weekly surveys target key points in thepetroleum supply system They do not include allcompanies but sample 90 percent of volume ateach selected point in the supply system EIA rank-orders the companies involved in the survey andsends surveys as it scrolls down the list stoppingwhen it reaches the 90 percent level Although 100

percent coverage is sacrificed this method keepsthe level of incoming data manageable and avoidsburdening the smallest companies All data arereviewed and anomalies checked

Monthly surveys provide data that are used in themonthly and annual reports They are similar to theweekly surveys but are more exhaustive in both therange of data collected and the depth of the collec-tion Sample sizes and response rates for several ofthe key points in the supply system are shown intable A The eight monthly surveys cover the indus-try more accurately than the weekly surveys andprovide some double-check points that the othersurveys do not EIA expends considerable effort toensure that its data are as accurate as possible Revi-sions are made throughout the year For exampleEIAs Annual Energy Review 1996 released in July1997 provided a preliminary 1996 number for totalpetroleum production of 830 million barrels perday (mmbd) The Annual Energy Review 1997released a year later revised that to 825 mmbd andthe 1999 Review reported 829 mmbd

No complicated survey is likely to be 100 per-cent accurate EIA lists four sources of potentialsystematic errors

1 Some members of the target population aremissed EIA reports that it continually reviews thelists and searches industry periodicals and newspa-pers to identify new actors Considering the nature

TABLE AAverage Response Rates for Monthly Surveys 1998

Survey SiteAverage

universe site

Average number of

respondents PercentRefinery 252 243 963Bulk terminal 300 287 956Pipeline 81 80 993Crude oil stocks 174 169 991Refinery 252 243 963Bulk terminal 300 287 956

NOTE The average response rate is calculated by summing indi-vidual monthly response rates and dividing by 12

SOURCE Tammy G Heppner and Carol L French Energy Infor-mation Administration US Department of Energy Accuracy of Petroleum Supply Data (Washington DC 1998)

Appendix E Data Source and Accuracy Statements

of the petroleum industry it is very unlikely thatcompanies with significant production are notsurveyed

2 Some members of the target population do notrespond EIA reports a 97 percent response rate formonthly surveys For some points in the supply sys-tem the average response is over 99 percent Sur-vey respondents are required by law to respondbut some nonresponse is inevitable especiallyamong small companies EIA assumes that the non-respondents value for that month is the same asfor the previous month except for imports Sinceimports vary widely with respondents frequentlyhaving no imports EIA assumes a nonresponsemeans zero imports It can be assumed that EIA isgood at ldquofilling in the blanksrdquo Assuming for illus-tration purposes that 05 percent of productiondoes not respond and that EIA is 90 percent accu-rate in covering the gap then there is a possibilityof a 005 percent error Applying that to total pro-duction of 829 mmbd in 1999 suggests that therecould be an error of 00041 mmbd (4100 barrelsper day) which would not affect the publishednumber

3 The most serious problem may be responseerror A company may have poor data perhaps asa result of imperfect measurements or it maytransmit the wrong number EIA has no controlover a companys data quality Companies haveincentive to measure their inputs and productsaccurately Otherwise they may be cheating them-selves or risking ill will with their customers or sup-pliers However no instrumentation is perfectlyaccurate The high throughput of say a refinerywith capacity of several hundred thousand barrelsper day with a variety of products changing den-sity and some lost or used on site is very compli-cated to measure Instrumentation errors are likelyto be systematic at any one site although they willbe more nearly random in the aggregate for allfacilities There is potential for small but significantoverall errors

Mistakes may be made in recording and transfer-ring the data EIA reviews the data and flags grosserrors or missing data for review by the respon-dent However not all errors will be picked up byEIA andor the respondent Overall responseerrors probably are several times as large as nonre-sponse errors but it is beyond the scope of thisprofile to estimate them

4 The final potential source of systematic erroris in the clarity of the survey form ie whether allrespondents interpret it correctly No doubt errorsand ambiguities can creep into a form but at leastfor petroleum supply that does not appear to be amajor risk The supply system is not changing rap-idly and EIA should be able to keep with it and theterminology However the final digit of EIAs pub-lished supply data is questionable

For additional information on survey methodol-ogy and statistical reliability the reader is referredto the EIA reference cited in the tables or the EIAInternet site at wwweiadoegov

FUEL AND ENERGY CONSUMPTION

TABLE 4-1 Overview of US Petroleum Production Imports Exports and Consumption

TABLE 4-2 US Consumption of Energy from Primary Sources by Sector

TABLE 4-3 Domestic Demand for Refined Petroleum Products by Sector

TABLE 4-4 US Energy Consumption by the Transportation Sector

TABLE 4-7 Domestic Demand for GasolinePetroleum consumption is far more complex to

measure than supply Instead of a few hundredcompanies at most measuring points in the supplysystem there are tens of millions of consumers Itwould be impossible for any survey of individualconsumers to produce the high rate of return ofUS Department of Energy (DOE) Energy Infor-mation Administrations (EIAs) supply surveysEIAs transportation data collection is further lim-ited by the termination of the Residential Transpor-tation Energy Consumption Survey (RTECS)Therefore EIA uses surveys of sales of products(eg Form EIA-821 Annual Fuel Oil and Kero-sene Sales Report) or tax collection data from theUS Department of Transportation Federal High-way Administration (FHWA)

EIA reviewed the accuracy of its energy con-sumption data in a 1990 monograph Energy Con-sumption by End-Use Sector a Comparison ofMeasures by Consumption and Supply SurveysUnfortunately this monograph does not discuss the

Appendix E Data Source and Accuracy Statements

transportation sector because the consumption andsupply surveys were not comparable Howeversome of the results from other sectors indicate thediscrepancies between supply and consumptionsurveys Table B shows the ratio of fuel supplied tothe sector to consumption reported by the sector inconsumption surveys

In most cases supply is reported as substantiallylarger than consumption Supplies of fuel oil to thecommercial sector are reported at almost twice thelevel of consumption reported by that sector Someof the discrepancies may be due to definition differ-ences (eg fuel oil for apartment buildings isincluded in commercial supply surveys but not inconsumption surveys) Overall however the differ-ences are too large for great confidence in the accu-racy of the data

If transportation had been reviewed in the sameformat it is likely that the discrepancies wouldhave been larger Most transportation fuel (gaso-line for automobiles) is purchased in small quanti-ties at irregular intervals and cannot be checkedsimply by looking at a utility bill Hence highwaytransportation energy consumption surveys mustbe extensive to avoid the risk of large uncertaintiesin the data But with the termination of theRTECS EIA ceased conducting such surveys Con-sumption data must be derived indirectly fromsales of petroleum products and tax collectiondata While petroleum supply may be accurate toone decimal place it is likely that disaggregating bysector use may be within plus or minus several per-centage points or perhaps about half a quadrillionBritish thermal unit (Btu) in table 4-1

Motor GasolineAlmost all gasoline is consumed in the transpor-

tation sector Small amounts are used in the com-mercial sector for nonhighway use and the

industrial sector which includes agriculture con-struction and other uses Subtracting estimates ofthose uses from the known total sales yields thetransportation sectors total which is further sub-divided into highway and marine use Aviationgasoline is of course used entirely in the transpor-tation sector (for a very few high-performanceautomobiles as well as small aircraft)

Data on actual sales is collected by the states forrevenue purposes These data are forwarded toFHWA EIA uses the data from FHWA to allocatehighway consumption of motor gasoline among thestates For 1999 FHWA reported 1247 billion gal-lons of gasoline sold nationally for highway useEIAs table 512c of the Annual Energy Review 2000lists 833 mmbd of gasoline supplied for the transpor-tation sector the same as 1277 billion gallons

Such close agreement between supply anddemand is not totally convincing Definitions areunique to each state (eg whether gasohol iscounted as pure gasoline or part gasoline and partrenewables) measurement points vary from stateto state and each state handles losses differentlyHence the total of all states sales of gasoline is notentirely consistent

Separation of highway from nonhighway uses ofgasoline is by necessity based in part on carefulestimates Nevertheless overall gasoline sales arewell documented and the separation is probablyfairly accurate Refinery output of motor gasolinewas 793 mmbd in 1999 which is probably accu-rate to the first decimal place and maybe a littlebetter The transportation sectors 833 mmbdwould have about the same accuracy

Diesel FuelDiesel fuel is used in highway vehicles railroads

boats and military vehicles Sales are only about30 percent of gasoline in the transportation sectorbut uncertainties are greater More diesel than gas-oline is used for nonhighway purposes especiallyagriculture and construction In addition there hasbeen more potential for cheating to avoid the taxheating oil is virtually the same as diesel fuel andcan easily be transferred to a vehicle However thisis less significant now that tracers have been addedto fuel oil After the addition of tracers the amountof transportation diesel fuel use jumped

To estimate diesel fuel sales by mode EIA startswith the total supply of distillate fuel and subtracts

TABLE BReported Ratio of Fuel Supply to Reported Consumption

Sector Electricity Gas OilResidential 105 092 092Commercial 091 138 196Industrial 118 128 134

SOURCE US Department of Energy Energy Information Admin-istration Energy Consumption by End-Use Sector A Comparison of Measures by Consumption and Supply Surveys DOEEIA-0533 (Washington DC 1990)

Appendix E Data Source and Accuracy Statements

the small amount sold to electric utilities (the mostaccurately known sector as measured by EIA FormEIA-759) The remainder is divided among theother end-use sectors according to EIAs sales sur-veys (Form EIA-821 Annual Fuel Oil and Kero-sene Sales Report and Form EIA-863 PetroleumProduct Sales Identification Survey)

This method introduces several potential ele-ments of inaccuracy First the surveys of each sec-tor are probably less accurate than the supplysurveys noted earlier Companies and individualsmay inadvertently send incorrect data or notrespond at all Then EIA has to determine whatadjustment factor to use for each end-use sectorSince each sector will have a different response rateto the surveys the adjustments will be differentLarge adjustments can introduce large errors EIAhas not published its adjustments for the transpor-tation sector As shown in table 2 the adjustmentsin other sectors range from 5 to 96 percent ofreported consumption Even a 20 percent adjust-ment could introduce an error of one or two per-centage points (plus or minus) for any one sector

Overall the accuracy of diesel fuel use in thetransportation sector should be viewed with someskepticism

Jet FuelJet fuel is the only other petroleum-based fuel

that is used in large quantities (over 1 million bar-relsday) in the transportation sector Virtually allof it is used by airlines These data are accuratebecause airlines are required to report usage andbecause there are relatively few certificated air car-riers data collection should be manageable

NONPETROLEUM FUELS CONSUMPTION

TABLE 4-10 Estimated Consumption of Alternative and Replacement Fuels for Highway Vehicles

Collectively oxygenates natural gas electricityand various alternative fuels amount to only about 3percent of all energy used in the transportation sec-tor While this may not be much greater than theerror bars associated with petroleum use it is impor-tant to track changes in these fuels accurately

OxygenatesOxygenates mostly methyl tributyl ether

(MTBE) which is derived from natural gas andethanol are part of mainstream gasoline supplyThey are measured routinely with petroleum sup-ply (forms EIA-819A and 819M) Consumption isestimated from production net imports and stockchanges Refineries and other entities are requiredto report data on oxygenates and EIA also moni-tors production capability to provide a crosscheckThus oxygenates data are likely to be reasonablyaccurate

Natural GasNatural gas is used in the transportation sector

mainly as the fuel for compressor stations on natu-ral gas transmission lines A small but growingamount is used in compressed or liquefied form invehicles EIA collects data on natural gas much as itdoes for petroleum but the system is much simplerNatural gas transmission companies may not knowexactly how much gas is used in compressor sta-tions but they have a good idea based on the sizeof the equipment and the load on the line Thereported numbers probably are reasonably accu-rate Data on natural gas-fueled vehicles are col-lected by DOE via Form-886 which is sent to fuelsuppliers vehicle manufacturers and consumersIn addition private associations and newslettersare important sources of information on alternativevehicles and alternative fuels use Since mostgroups work cooperatively with DOE it is likelythat the data reported are accurate EIA tracks thenumber of natural gas vehicles and the number ofrefueling stations to provide a cross check on esti-mates of natural gas consumption

ElectricityElectricity powers intercity trains (Amtrak) and

intracity rail systems In addition the number ofelectric vehicles is growing There is considerableuncertainty over the energy consumed by thesemodes Amtrak no longer provides national totalsof its electricity consumption Data on intracitytransit is based on US Department of Transporta-tion Federal Transit Administrations (FTAs)National Transit Database (NTD) The legislativerequirement for the NTD is found in Title 49USC 5335(a) Transit agencies receiving fundsthrough the Urbanized Area Formula Program are

Appendix E Data Source and Accuracy Statements

generally required to report financial and operatingdata including energy use Although the data isgenerally considered accurate because FTA reviewsand validates information submitted reliabilitymay vary because some transit agencies cannotobtain accurate information or may misinterpretcertain data

If electric vehicles become important over thenext decade or two dedicated charging stationsmay become commonplace which could provideaccurate data Fleet owners (eg electric utilities)can keep accurate records but individuals whoplug their vehicles in at home may not Electricityuse must be estimated from the number of suchvehicles and the expected driving cycles Hencedata on electric power for transportation must beviewed as an estimate

It should also be noted that electricity is a formof work that usually is generated from heat withthe loss of about two-thirds of the energy Automo-bile engines are equivalent to electric generators inthat they convert chemical energy to heat and thento work losing most of the energy as waste heatWhen electrical energy is compared to petroleum intransportation the waste heat must be included forconsistency A kilowatt-hour of electricity is equiv-alent to 3413 British thermal units (Btu) butabout 10000 Btu of heat are required to produceit This factor is dropping as generators becomemore efficient High efficiency gas turbines mayrequire 8000 Btu or less but the average is muchhigher It is usually impossible to tell where thepower for a specific use is generated so average fig-ures for a region are used to estimate the wasteenergy a factor that further reduces the accuracy ofthe data

Alternative FuelsIn addition to oxygenates natural gas and elec-

tricity alternative fuels include ethanol and metha-nol EIA tracks the numbers of such vehiclesthrough Form-886 state energy offices federaldemonstration programs manufacturers and pri-vate associations These numbers probably arefairly accurate although it is difficult to monitorretirements Fuel consumption is estimated fromthe types of vehicles in operation vehicle milestraveled and expected fuel efficiency Adjustmentsare necessary for the relatively few flexible-fuel

vehicles Obviously the reported data are estimatesonly

FUEL AND ENERGY CONSUMPTION BY MODE

TABLE 4-5 Fuel Consumption by Mode of Transportation

TABLE 4-6 Energy Consumption by Mode of Transportation

TABLE 4-8 Certificated Air Carrier Fuel Consumption and Travel

TABLE 4-9 Motor Vehicle Fuel Consumption and Travel

TABLE 4-11 Passenger Car and Motorcycle Fuel Consumption and Travel

TABLE 4-12 Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel

TABLE 4-13 Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel

TABLE 4-14 Combination Truck Fuel Consumption and Travel

TABLE 4-15 Bus Fuel Consumption and TravelFuel consumption data are collected quite differ-

ently than supply data collected by the US Depart-ment of Energy Energy Information Administration(EIA) Highway fuel consumption for example isbased on US Department of Transportation Fed-eral Highway Administration (FHWA) data col-lected from states in the course of revenue collectionEIA starts from the fuel delivered to transportationentities

HighwayHighway fuel data (tables 4-5 4-9 and 4-11

through 4-15) are collected mainly by FHWA Allstates plus the District of Columbia report totalfuel sold along with travel by highway categoryand vehicle registration Data typically flows fromstate revenue offices to the state departments oftransportation to FHWA Even if reporting is rea-sonably accurate some data are always anomalousor missing and must be modified to fit expected

Appendix E Data Source and Accuracy Statements

patterns In addition as discussed earlier there aresome significant differences in methodology anddefinitions among the states In particular statesdiffer in where the tax is applied in the fuel supplysystem how gasohol is counted how nonhighwayuse is treated and how losses are handled

Nonhighway use of gasoline and diesel fuel is aparticularly large source of potential error Somestates designate nonhighway users as tax-exemptothers make the tax refundable In either casemany people wont bother to apply if the amountof money is small Nonhighway use of diesel fuel isespecially large because many construction andagricultural vehicles are diesel powered Thus thefraction of petroleum attributed to transportationcould be overestimated On the other hand somenonhighway fuel finds its way into the transporta-tion system because heating oil can be used as die-sel fuel evading the tax Tracers are now added toheating oil which appears to have reduced the levelof such tax evasionmdashif found in a trucks fuel tankthe tracer indicates diversion from a nontaxedsource

Breaking fuel use down by class of motor vehicleintroduces the potential for error FHWA must esti-mate the miles each class is driven and the fueleconomy Estimation of miles is based on the 1995Nationwide Personal Transportation Survey(NPTS) administered by FHWA and the VehicleInventory and Use Survey (formerly known as theTruck Inventory and Use Survey) conducted by theUS Census Bureau For information about thesetwo surveys the reader is referred to the technicalappendix of Our Nations Travel available fromthe FHWA Office of Highway Information Man-agement and the 1997 Census of Transportationavailable from the Economics and StatisticsAdministration within the Census Bureau Fueleconomy is based on state-supplied data TIUSand the National Highway Traffic Safety Adminis-tration data on new car fuel economy which mustbe reduced by about 15 percent to reflect actualexperience on the road Overall both vehicle-milesof travel and fuel economy are estimates

Fuel consumption by buses is particularly uncer-tain FHWA collects data on intercity buses andthe American Public Transit Association (APTA)covers local travel Very little data are collected onschool buses APTA figures are based on data fromthe USDOT Federal Transit Administrations

(FTAs) National Transit Database which coversabout 90 to 95 percent of total passenger-milesThese data are generally accurate because FTAreviews and validates information submitted byindividual transit agencies Reliability may varybecause some transit agencies cannot obtain accu-rate information or may misinterpret data APTAconservatively adjusts the FTA data to include tran-sit operators that do not report to FTA such as pri-vate and very small operators and rural operatorsPrior to 1984 APTA did not include most ruraland demand responsive systems

AirThe US Department of Transportation Bureau

of Transportation Statistics Office of Airline Infor-mation (OAI) is the source of these data The num-bers are based on 100-percent reporting of fuel useby large certificated air carriers (those with revenuesof more than $100 million annually) via Form 41The data are probably reasonably accurate becausethe airlines report fuel use regularly and the limitednumber of airlines aids data management

Smaller airlines such as medium size regionaland commuter air carriers are not required toreport energy data OAI estimates that about 8 per-cent would have to be added to the total of thelarger airlines to account for this use but that hasnot been done in table 4-5 or 4-8

General aviation aircraft and air taxis are cov-ered in the General Aviation and Air Taxi and Avi-onics Survey conducted by the Federal AviationAdministration (FAA) The survey is conductedannually and encompasses a stratified systematicdesign from a random start to generate a sample ofall general aviation aircraft in the United States Itis based on the FAA registry as the sampling frameFor instance in 2000 a sample of 31039 aircraftwas identified and surveyed from an approximatepopulation of 256927 registered general aviationaircraft

The reliability of the GAATA survey can beimpacted by two factors sampling and nonsam-pling error A measure called the standard error isused to indicate the magnitude of sampling errorStandard errors can be converted for comparabilityby dividing the standard error by the estimate(derived from the sample survey results) and multi-plying it by 100 This quantity referred to as thepercent standard error totaled two and four-tenths

Appendix E Data Source and Accuracy Statements

of a percent in 2000 for the general aviation fleetA large standard error relative to an estimate indi-cates lack of precision and inversely a small stan-dard error indicates precision

Nonsampling errors could include nonresponsea respondents inability or unwillingness to providecorrect information differences in interpretation ofquestions and data entry mistakes The reliabilityof general aviation fleet data comparisons overtime would decrease because of changes imple-mented in 1978 and sampling errors discussedabove Readers should note that nonresponse biasmay be a component of reliability errors in the datafrom 1980 to 1990 The FAA conducted telephonesurveys of nonrespondents in 1977 1978 and1979 and found no significant differences or incon-sistencies between respondent and nonrespondentreplies The FAA discontinued the telephone surveyof nonrespondents in 1980 to save costs Nonre-sponse surveys were resumed in 1990 and the FAAfound notable differences and make adjustments toits data to reflect nonresponse bias

The US Government in particular the Depart-ment of Defense (DOD) uses a large amount of jetfuel as shown in table 4-19 (see discussion on gov-ernment consumption below) However DODreports all fuel purchased including from foreignsources for operations abroad While the data maybe accurate it is not comparable to EIAs overallUS supply and consumption figures on jet fuel

International operations are included in table 4-8but not table 4-5 The fuel use for internationaloperations includes that purchased by US airlinesfor return trips OAI does not collect data on for-eign airline purchases of fuel in the United StatesThus a significant use of US jet fuel is missedHowever these two factors approximately balanceeach other out As shown in table 1-34 foreigncarrier traffic is just slightly less than US carrierinternational traffic so presumably the fuel pur-chased here by foreign carriers is very close to thefuel purchased abroad by US carriers

RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR figures are based on 100 percentreporting by Class I railroads to the Surface Trans-portation Board (STB) via Schedule 700 of the R1Annual Report Thus the data are considered accu-

rate STB defines Class I railroads as having operat-ing revenues at or above a threshold indexed to abase of $250 million (1991) and adjusted annuallyin concert with changes in the Railroad Freight RateIndex published by the Bureau of Labor Statistics In2001 the adjusted threshold for Class I railroadswas $2667 million Although Class I railroads rep-resent only 1 percent of the number of railroads inthe country they account for over 70 percent of theindustrys mileage operated and more than 90 per-cent of all freight revenue energy consumptionshould be of the same order For passenger travelinformation is unavailable Amtrak no longer pro-vides data on a national basis and the regional dataappears to be inconsistent

TransitThe APTA figures are based on information in

FTAs National Transit Database APTA conserva-tively adjusts FTA data to include transit operatorsthat do not report to the FTA Database (privateand very small operators and rural operators)which accounts for about 90 to 95 percent of thetotal passenger-miles The data are generally accu-rate because the FTA reviews and validates infor-mation submitted by individual transit agenciesReliability may vary because some transit agenciescannot obtain accurate information or misinterpretcertain data definitions in federal guidelines

WaterThe EIA collects data on residual and distillate

fuel oils and diesel through its Annual Fuel Oil andKerosene Sales Report survey form EIA-821 Thesurvey targets companies that sell fuel oil and kero-sene to end users This survey commenced in 1984and data from previous years should be used withcaution

Sampling Frame and DesignThe samples target universe includes all compa-

nies that sell fuel oil and kerosene to end users EIAderives the sampling frame from the EIA-863 data-base containing identity information for approxi-mately 22300 fuel oil and kerosene sellers EIAstratifies the sampling frame into two categoriescompanies selected with certainty and uncertaintyThose in the certainty category varied but includedthe end use ldquovessel bunkeringrdquo or sales for thefueling of commercial and private watercraft

Appendix E Data Source and Accuracy Statements

Sampling Error Imputation and EstimatesEIA reported a 925 percent response rate for the

2000 survey The EIA also provides estimates ofthe sampling error for geographic areas and USaverages are 18 for residential distillate fuel oil08 for nonresidential retail distillate fuel oil and01 for retail residual fuel oil Some firms inevita-bly ignore survey requests causing data gaps EIAestimates the volumes of these firms sales by impu-tation more detailed information and the algo-rithm can be obtained at EIAs web site in thetechnical notes for the Annual Fuel Oil and Kero-sene Sales Report See httpwwweiadoegovoil_gaspetroleumdata_publicationsfuel_oil_and_kerosene_salesfokshtml

TABLE 4-19 US Government Energy Consumption by Agency and Source

Energy consumption data are collected byDOEs Office of Federal Energy Management Pro-grams in cooperation with most departments andagencies DOD is by far the largest consumeraccounting for about 80 percent of the total Asdiscussed above the data includes fuel purchasedabroad for military bases Since government agen-cies are required to report these data they areprobably accurate However it is possible thatsome consumption is missed For example someagencies may report only fuel supplied directlymissing consumption such as gasoline purchasedby employees while on government business forwhich they are then reimbursed In additionsmaller agencies were neglected Overall howeverthe data should provide a fairly good approxima-tion of government energy consumption

ENERGY EFFICIENCY

TABLE 4-20 Energy Intensity of Passenger Modes

TABLE 4-21 Energy Intensity of Certificated Air Carriers All Services

TABLE 4-22 Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles

TABLE 4-24 Energy Intensity of Transit Motor Buses

TABLE 4-25 Energy Intensity of Class I Railroad Freight Service

TABLE 4-26 Energy Intensity of Amtrak ServiceTotal energy consumed for each mode can be

estimated with reasonable accuracy Miles trav-eled are known for some modes such as air carri-ers but less accurately for others most notablyautomobiles When the numbers of passengers ortons are required to calculate energy efficiencyanother uncertainty is introduced Again air car-riers and intercity buses know how many passen-gers are on board and how far they travel butonly estimates are available for automobiles andintracity buses

Thus table 4-21 should be quite accurate forcertificated air carriers though it is missing smallairlines and private aircraft Table 4-22 is based onFHWA fuel tax data derived from state fuel taxrevenues VMT is as discussed for tables 1-9 and1-10 Data for motorcycles must be adjusted signif-icantly more than for automobiles because lessinformation is collected from the states or fromsurveys Transit bus data (table 4-24) are veryuncertain because unlike intercity buses the dis-tance each passenger travels is not measured byticket sales

The intermodal comparison of passenger travelin table 4-20 must be viewed with considerablecaution Data for the different modes are collectedin different ways and the preparation of the finalresults is based on different assumptions As notedabove airlines accurately record passenger milesbut the data on occupancy of private automobilesmust be estimated from surveys Even relativelycertain data such as state sales of gasoline must bemodified to resolve anomalies and transit data areeven harder to make consistent Furthermore dif-ferent groups collect the data for the variousmodes and they have different needs assumptionsand methodologies Thus the comparisons areonly approximate

Freight service data (table 4-25) are from Rail-road Facts published annually by the Associationof American Railroads (AAR) AAR figures arebased on 100 percent reporting by Class I railroadsto the Surface Transportation Board (STB) viaSchedule 700 of the R1 Annual Report STBdefines Class I railroads as having operating reve-nues at or above a threshold indexed to a base of

Appendix E Data Source and Accuracy Statements

$250 million (1991) and adjusted annually in con-cert with changes in the Railroad Freight RateIndex published by the Bureau of Labor StatisticsIn 2000 the adjusted threshold for Class I rail-roads was $ 2619 million Although Class I rail-roads comprise only 1 percent of the number ofrailroads in the country they account for over 71percent of the industrys mileage and 91 percent ofall freight revenue energy data should be of thesame order

TABLE 4-27 Annual Wasted Fuel Due to Congestion

TABLE 4-28 Wasted Fuel per Eligible Driver

The Texas Transportation Institutes (TTI) UrbanRoadway Congestion Annual Report provided fig-ures for tables 4-27 and 4-28 TTI relies on datafrom the US Department of Transportation Fed-eral Highway Administration Highway Perfor-mance Monitoring System database (HPMS) (Seebox 1-1 for detailed information about the HPMS)TTI utilizes these data as inputs for its congestionestimation model Detailed documentation for theTTI model and estimations can be found at httpmobilitytamuedu

The sum of fuel wasted in typical congestion(recurring delay) and incident related delays equalthe annual wasted fuel for an urban area Recur-ring delay is the product of recurring delay (annualhours in moderate heavy and severe delays) andaverage peak period system speed divided by aver-age fuel economy Incident delay hours are multi-plied by the average peak period system speed anddivided by the average fuel economy to produce theamount of incident fuel wasted

Structure Assumptions and ParametersUrban roadway congestion levels are estimated

using a formula measuring traffic density Averagedaily travel volume per lane on freeways and prin-cipal arterial streets are estimated using area wideestimates of vehicle-miles of travel and lane milesof roadway The resulting ratios are combinedusing the amount of travel on each portion of thesystem (freeway and principal arterials) so that thecombined index measures conditions overall Thisvariable weighting factor allows comparisonsbetween areas such as Phoenix-where principal

arterial streets carry 50 percent of the amount oftravel of freeways-and cities such as Phoenix wherethe ratio is reversed Values greater than one areindicative of undesirable congestion levels Read-ers seeking the algorithm for the congestion indexshould examine httpmobilitytamuedu

In previous reports TTI assumed that 45 percentof all traffic regardless of the urban locationoccurred in congested conditions TTI indicatedthat this presumption overestimated travel in con-gested periods Its 2002 estimates now vary byurban area anywhere from 18 to 50 percent oftravel that occurs in congestion TTIs modelstructure applies to two types of roads freewaysand principal arterial streets The model derivesestimates of vehicle traffic per lane and trafficspeed for an entire urban area Based on variationin these amounts travel is then classified under 5categories uncongested moderately congestedheavily congested severely congested andextremely congested (a new category in 1999) Thethreshold between uncongested and congested waschanged in 1999 Previous editions classified con-gested travel when area wide traffic levels reached14000 vehicles per lane per day on highways and5500 vehicles per lane per day on principal arterialstreets For the current edition these values are15500 and 5500 vehicles per lane per day respec-tively Previous years values have been re-esti-mated based on these new assumptions Readersshould refer to the TTI website for more detailedinformation on its estimation procedures httpmobilitytamuedu

TTI reviews and adjusts the data used in itsmodel including statewide average fuel cost esti-mates (published by the American AutomobileAssociation) and the number of eligible drivers foreach urban area (taken from the Statistical Abstractof the United States published by the US Depart-ment of Commerce Bureau of the Census) Themodel has some limitations because it does notinclude local variations (such as bottlenecks localtravel patterns or transportation improvements)that affect travel times TTI documentation doesnot provide information on peer-review sensitivityanalysis or estimation errors for their modelInformation about sensitivity analysis or externalreviews of the model could not be obtained andusers should interpret the data cautiously

Appendix E Data Source and Accuracy Statements

ENVIRONMENT

TABLE 4-38 Estimated National Average Vehicle Emissions Rates by Vehicle Type and Fuel

TABLE 4-39 National Average Vehicle Emissions Rates by Vehicle Type Using Reformulated Gasoline

The US Environmental Protection Agency usesits Mobile Source Emissions Factor Model(MOBILE) to generate average emissions factorsfor each vehicle and fuel type The methods usedin the model are theoretically sound the assump-tions are reasonable but the data vary in qualityand no formal analysis of the accuracy of these esti-mates has been performed Emissions rate esti-mates for light-duty vehicles are considered morereliable than those for heavy-duty vehicles becausein-use emissions tests are performed on a sample ofvehicles each year Deterioration for heavy-dutyvehicles in the national fleet are based only onmanufacturers engine deterioration tests In addi-tion because reformulated fuels (table 4-39) arenewer than other gasoline fuels (table 4-38) in useemissions test data for reformulated fuels are not asextensive

The estimates in the tables represent average emis-sions rates taking into account the characteristics ofthe nations fleet including vehicle type and age andfuel used The model also assumes Federal Test Pro-cedure conditions The model does not take intoaccount actual travel distributions across differenthighway types with their associated average speedsand operating mode fractions nor do they considerambient local temperatures However fleet compo-sition and deterioration because of age are consid-ered Thus these rates illustrate only trends due tovehicle emissions control improvements and theirincreasing use in the national fleet and should not beused for other purposes

TABLES 4-40 4-41 4-42 4-43 4-44 4-45 and 4-46 Estimates of National Emissions of Carbon Monoxide Nitrogen Oxides Volatile Organic Compounds Particular Matter Sulfur Dioxide and Lead

Emissions by sector and source are estimatedusing various models and calculation techniques

and are based on a number of assumptions and ondata that vary in precision and reliability Themethods used are theoretically sound the assump-tions are reasonable but the data vary in qualityand no formal analysis of the accuracy of these esti-mates has been performed

Carbon Monoxide (CO) Nitrogen Oxides (NOx) and Volatile Organic Compounds (VOCs)

Highway vehicle emissions of CO NOx andVOC are generated by the US Environmental Pro-tection Agencys (EPAs) Mobile Source EmissionsFactor Model (MOBILE) which uses per-milevehicle emissions factors and vehicle travel (vehi-cle-miles) to calculate county-level emissionsEmissions rates are then adjusted based on fuelcharacteristics vehicle fleet composition emissionscontrol measures average vehicle speed and otherfactors that can affect emissions (Emissions ratesused in MOBILE are based on vehicle certificationtests emissions standards and in-use vehicle testsand are updated approximately every three years)The US Department of Transportation FederalHighway Administrations Highway PerformanceMonitoring System is the source of vehicle travelestimates used in the model Although the method-ology for this survey data is sound and well docu-mented analyses have shown that individual statesvary in how rigorously they follow the establishedsampling guidelines

The nonhighway vehicle emissions are calculatedannually by running EPAs NONROAD model forall categories except aircraft commercial marinevessels and railroads which are calculated viaemission factors and relevant activity data Inputsto the NONROAD model include average temper-atures Reid vapor pressure fuel usage programsand controls

Particulate Matter Under 10 Microns (PM-10) and 25 Microns (PM-25) in Size

Highway vehicle emissions are estimated usingthe US Environmental Protection Agencys PARTmodel which estimates emissions factors forexhaust emissions and brake and tire wear by vehi-cle type Exhaust emissions factors are based oncertification tests while brake wear (per vehicle)and tire wear (per tire) are assumed values whichare constant over all years Per-mile emissions fac-tors are multiplied by vehicle travel (vehicle-miles)

Appendix E Data Source and Accuracy Statements

and adjusted to account for other factors that effectexhaust emissions (eg fuel composition weatheretc) The US Department of Transportation Fed-eral Highway Administrations Highway Perfor-mance Monitoring System is the source of vehicle-miles of travel (VMT) estimates used in the modelWhile the methodology for this survey data issound and well documented analyses have shownthat individual states vary in how rigorously theyfollow the established sampling guidelines

Fugitive dust estimates for paved and unpavedroads are calculated by multiplying VMT on eachtype of road by emissions factors for each vehicletype and road type

The non-highway vehicle emissions are calcu-lated annually by running EPAs NONROADmodel for all categories except aircraft commercialmarine vessels and railroads which are calculatedvia emission factors and relevant activity dataInputs to the NONROAD model include averagetemperatures Reid vapor pressure fuel usage pro-grams and controls

Sulfur Dioxide (SO2)Highway vehicle SO2 emissions are estimated by

multiplying vehicle travel (for each vehicle type andhighway type) by an emissions factor reflectingeach vehicle type and highway type Highway SO2emissions factors are based on vehicle type andmodel year sulfur content of fuel by type and yearfuel density by fuel type and vehicle fuel efficiencyby type and model year

In general estimates for nonhighway vehicles arecalculated based on fuel consumption and sulfurcontent of fuel though other factors may beconsidered

LeadIn general lead emissions are estimated by multi-

plying an activity level by an emissions factor thatrepresents the rate at which lead is emitted for thegiven source category This estimate is thenadjusted by a factor that represents the assumedeffectiveness of control technologies For leadreleased during combustion a top-down approachis used to share national estimates of fuel consump-tion by fuel type to each consumption category(eg motor fuel electric utility etc) and subse-quently each source (eg passenger cars light-duty trucks etc)

TABLE 4-47 Air Pollution Trends in Selected Metropolitan Statistical Areas (MSAs)

TABLE 4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants

The US Environmental Protection Agency mea-sures concentrations of pollutants in the ambientair at its air quality monitoring sites which areoperated by state and local agencies These sitesconform to uniform criteria for monitor sitinginstrumentation and quality assurance and eachsite is weighted equally in calculating the compositeaverage trend statistics Furthermore trend sitesmust have complete data for 8 of the 10 years inthe trend time period to be included Howevermonitoring devices are placed in areas most likelyto observe significant concentrations of air pollut-ants rather than a random sampling of sitesthroughout the nation

TABLE 4-49 US Carbon Dioxide Emissions from Energy Use by Sector

The combustion of fossil fuels such as coalpetroleum and natural gas is the principal anthro-pogenic (human caused) source of carbon dioxide(CO2) emissions Since fossil fuels are typically 75percent to 90 percent carbon by weight emissionsfrom the combustion of these fuels can be easilymeasured in carbon units as is shown in the table

CO2 emissions data are derived from estimatesThe US Department of Energy Energy Informa-tion Administration (EIA) estimates CO2 emis-sions by multiplying energy consumption for eachfuel type by its carbon emissions coefficient thensubtracting carbon that is sequestered by nonfueluse of fossil fuels Carbon emissions coefficientsare values used for scaling emissions to specificactivities (eg pounds of CO2 emitted per barrel ofoil consumed)

Emissions estimates are based on energy con-sumption data collected and published by EIASeveral small adjustments are made to its energyconsumption data to eliminate double counting ormiscounting of emissions For example EIA sub-tracts the carbon in ethanol from transportationgasoline consumption because of its biologicalorigin

Emissions coefficients are based on the densitycarbon content and heat content of petroleum

Appendix E Data Source and Accuracy Statements

products For many fuels except liquefied petro-leum gas (LPG) jet fuel and crude oil EIAassumed coefficients to be constant over time ForLPG jet fuel and crude oil EIA annualized carbonemissions coefficients to reflect changes in chemicalcomposition or product mix

Since the combustion of fossil fuels is a majorproducer of CO2 emissions sources of uncertaintyare related to 1) volumes of fuel consumed 2)characteristics of fuel consumed 3) emissions coef-ficients and 4) coverage EIA notes that volumet-ric fuel data are fairly reliable in the 3 percent to 5percent range of uncertainty The density andenergy content of fuels are usually estimatedAccording to EIA the reliability of these estimatesvary For example estimates of the energy contentof natural gas are reliable to 05 percent while esti-mates for coal and petroleum products are lowerbecause they are more heterogeneous fuels Thereliability of emissions coefficients depends onwhether the characteristics of a fuel are difficult tomeasure accurately Finally uncertainties mayresult because data may be excluded or unknownsources of emissions not included

EIAs estimation methods emissions coefficientsand the reliability of emissions estimates are discussedin detail in US Department of Energy Energy Infor-mation Administration Emissions of GreenhouseGases in the United States 1998 available onwwweiadoegovoiaf1605ggrptindexhtml

TABLE 4-50 Petroleum Oil Spills Impacting US Waterways

The U S Coast Guards (USCG) Marine SafetyInformation System (MSIS) is the source of thesedata It includes data on all oil spills impactingUS navigable waters and the Coastal Zone TheUSCG learns of spills through direct observationreports from responsible parties and third partiesResponsible parties are required by law to reportspills to the National Response Center (NRC)Reports may be made to the USCG or Environ-mental Protection Agency predesignated On SceneCoordinator for the geographic area where the dis-charge occurs if direct reporting to the NRC is notpracticable There is no standard format for thesereports but responsible personnel face significantpenalties for failing to do so Most reports aremade by telephone and USCG personnel completeinvestigations based on the information provided

The type and extent of an investigation conductedvaries depending on the type and quantity of thematerial spilled Each investigation will determineas closely as possible source of the pollutant thequantity of the material spilled the cause of theaccident as well as whether there is evidence thatany failure of material (either physical or design)was involved or contributed to the incident Theseare so financial responsibility may be properlyassigned for the incidents as well as proper recom-mendations for the prevention of the recurrence ofsimilar incidents may be made

Some spills may not be entered into MSISbecause they are either not reported to or discov-ered by the USCG The probability of a spill notbeing reported is inversely proportional to its sizeLarge spills impact a large area and a large numberof people resulting in numerous reports of suchspills Small spills are less likely to be reportedparticularly if they occur at night or in remoteareas where persons other than the responsibleparty are unlikely to detect them Responsible par-ties are required by law to report spills and facepenalties for failing to do so providing a strongincentive to report spills that might be detected byothers Experience with harbor patrols shows thatthe number of spills increases as the frequency ofpatrols increases However the volume of materialspilled does not increase significantly indicatingthat the spills discovered through increased harborpatrols generally involved very small quantities

Data CollectionFrom 1973 to 1985 data were collected on

forms completed by the investigator and laterentered into the Pollution Incident Reporting Sys-tem (PIRS) by data entry clerks at USCG headquar-ters Since 1985 data have been entered directlyinto MSIS by the investigator From 1985 to 1991data were entered into a specific electronic formthat captured information on the spilled substanceand pollution response actions Since 1995 agrowing number of reports of pollution incidentsof 100 gallons or less of oil have been captured ona Notice of Violation ticket form which are thenentered into MSIS

The information shown in this table comes fromthe USCG Spill Compendium which contains spilldata from the applications described above TheCompendium contains summary data from 1969

Appendix E Data Source and Accuracy Statements

through 2000 and is intended to provide generalinformation to the public the maritime industryand other interested persons about spills in andaround US waterways For more informationabout spill data please refer to the USCG Internetsite at httpwwwuscgmilhqg-mnmcresponsestatsaahtm

Nonsampling ErrorsAccording to the USCG nonsampling errors

such as nonreporting and mistakes made in datacollection and entry should not have a majorimpact on most interpretations of the data but theimpact will vary depending on the data used Theerror rate for volume spilled is estimated to be lessthan 5 percent because larger spills which accountfor most of the volume of oil spilled are thor-oughly reviewed at several levels The error ratefor the number of spills is difficult to estimate pri-marily due to low reporting rates for small spillsMost of the error in spill counts involves spills ofless than 100 gallons

TABLE 4-51 Leaking Underground Storage Tank Releases and Cleanups

A national inventory of reported spills and cor-rective actions taken for leaking underground stor-age tanks is compiled biannually based on statecounts of leaking tanks reported by owners asrequired by the Resource Conservation and Recov-ery Act of 19761 These data may be affected bygeneral accounting errors some of which havechanged semiannual counts by as many as 2000actions

TABLE 4-52 Highway Noise Barrier Construction

State highway agencies (SHAs) provide data onhighway noise barrier construction extent andcosts to the US Department of TransportationFederal Highway Administration Individual SHAdefinitions of barriers and costs may differ Thiscould lead to nonuniformity andor anomaliesamong state data which will in turn affect nationaltotals

TABLE 4-53 Number of People Residing in High-Noise Areas Around US Airports

The number of the people exposed to aircraftnoise around airports is estimated by computermodeling rather than by actual measurements TheUS Department of Transportation (USDOT) Fed-eral Aviation Administrations (FAAs) IntegratedNoise Model (INM) has been the primary tool forassessing aircraft noise around airports for nearly30 years This model uses information on aircraftmix average daily operations flight tracks andrunway distribution to generate and plot contoursof Day Night Sound Level (DNL) With the addi-tion of a digitized population census database themodel can estimate the number of residentsexposed to noise levels of 65 decibels (db) DNL

The US Environmental Protection Agency(EPA) produced the first estimate of airport noiseexposure in 1975 It reported that 7 million resi-dents were exposed to significant levels of aircraftnoise in 1978 This number became the ldquoanchorpointrdquo for all future estimates of the nationwidenoise impacts In 1980 FAA developed anothermethodology for estimating the change in the num-ber of people impacted by noise (from the 1975anchor value) as a function of changes in both thenational fleet and in the FAAs Terminal Area Fore-cast (TAF) In 1990 the FAA created an improvedmethod of estimating the change in number of peo-ple impacted (relative to the 1980 estimates)

In 1993 the FAA began using its newly devel-oped Nationwide Airport Noise Impact Model(NANIM) to estimate the impact of airplane noiseon residential communities surrounding US air-ports that support jet operations FAA uses thismodel to determine the relative changes in numberof people and land area exposed to 65 db DNL as aresult of changes in nationwide aircraft fleet mixand operations NANIM uses data on air trafficpatterns found in the Official Airline Guide(OAG) air traffic growth projections found inFAAs TAF population figures from the US Cen-sus Bureau and information on noise contourareas for the top 250 US civil airports with jetoperations

The methodology used in NANIM has been peerreviewed and approved However a formal evalu-ation of the models accuracy has not been con-ducted Some data used in NANIM are updatedmanually thus the possibility of data entry errors1 Public Law 94-580 90 Stat 2795 (Oct 21 1976)

Appendix E Data Source and Accuracy Statements

does exist Entries are reviewed and then correctedas appropriate The aircraft mix and operationsfiles from FAAs TAF and OAG are updated auto-matically Changes to either of the sources couldintroduce errors For example it was recently dis-covered that OAG redefined some aircraft codesand altered some data fields in its database Thesechanges make it impossible for the NANIM utilityprogram to accurately read the current OAG data-base A rewrite of the source code is necessary toeliminate this error Also since airport authoritiesare not required to produce noise exposure mapsand reports unless they intend to apply for Federalgrants 14 of the 50 busiest commercial airportsincluding JFK and LaGuardia have not produced(for public consumption) noise exposure maps inseveral years In the absence of actual data theNANIM database contains approximations of thenoise contours areas based on airports of similarsize and similar operation Without actual airportdata it is impossible to quantify the error intro-duced by the approximation

The number of people exposed to aircraft noisefor 1998 through 2001 was estimated by the FAArsquoslatest version of its MAGENTA model This newmore accurate model is based on 2000 census dataand uses input data on aircraft and operations spe-cific to US airports This revised model also usesthe FAA Terminal Forecast (TAF) which providesinformation on how operations will increase on anairport specific basis Updated monthly the TAFallows a more accurate forecast of US operations

TABLE 4-54 Motor Vehicles ScrappedThe Polk Companys Vehicles in Operation data-

base is the source of these data This database is acensus of vehicles that are currently registered in allstates within the United States It is based on infor-mation from state department of motor vehiclesPolk updates the database quarterly (March JuneSeptember and December)

Scrapped vehicles are those that Polk removesfrom its database when 1) States indicate regis-tered vehicles have suffered major damage (such asa flood or accident) or 2) No renewal (reregistra-tion) notice is received by Polk within a statesallotted time (normally one year) In the lattercase if a vehicle is subsequently reregistered it isreturned to the database The Polk data on motorvehicles is broken down into passenger cars and

trucks and this identification comes with the regis-tration data from the DMV

REFERENCES

US Department of Energy Energy InformationAdministration 1994 Accuracy of Petroleum Sup-ply Data Tammy G Heppner and Carol L FrenchedsWashington DC

US Department of Energy Energy InformationAdministration 1990 Energy Consumption byEnd-Use Sector A Comparison of Measures byConsumption and Supply Surveys DOEEIA-0533Washington DC

US Environmental Protection Agency Office ofMobile Sources 1998 MOBILE5 InformationSheet 7 NOx Benefits of Reformulated GasolineUsing MOBILE5a Ann Arbor MI September 30

US Environmental Protection Agency Office ofAir Quality Planning and Standards 1998 NationalAir Pollutant Emission Trends Procedure Docu-ment 1900-1996 EPA-454R-98-008 ResearchTriangle Park NC May

US Environmental Protection Agency Office ofMobile Sources 1996 Memorandum on Releaseof MOBILE5b (Revised Chapter 2 for the UsersGuide to MOBILE5) October 11

US Environmental Protection Agency Office ofAir Quality and Standards Emission Factor andInventory Group 1995 Compilation of Air Pollut-ant Emission Factors AP-42 Volume II MobileSources Appendix H Fifth ed June 30

US Environmental Protection Agency Office ofMobile Sources (OMS) 1995 Draft Users Guideto PART5 A Program for Calculating ParticleEmissions from Motor Vehicles EPA-AA-AQAB-94-2 Ann Arbor MI February

US EPA Office of Mobile Sources 1994 UsersGuide to MOBILE5 (Mobile Source Emission FactorModel) EPA-AA-TEB-94-01 Ann Arbor MI May

US Environmental Protection Agency Office ofAir and Radiation 1992 Procedures for EmissionInventory Preparation Volume IV Mobile SourcesEPA-4504-81-026d (Revised)

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Page 2: National Transportation Statistics - NRC: Home Page

National Transportation Statistics

2009

Bureau of

Transportation

Statistics

US Department of Transportation

Our mission To lead in developing transportation data and information of high quality and to advance their effective use in both public and private transportation decisionmaking

Our vision for the future Data and information of high quality supporting every significant transportation policy decision thus advancing the quality of life and the economic well-being of all Americans

All material contained in this report is in the public domain and may be used and reprinted without special permission source citation is required

Recommended citation

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics National Transportation Statistics httpwwwbtsgovpublicationsnational_transportation_statistics

NTS is a web-only report however print copies of other BTS products may be obtained via the following contacts

Product Orders US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics 1200 New Jersey Avenue SE Room E36-109 Washington DC 20590 wwwordersbtsgov

Information Service answersbtsgov 1-800-853-1351

Acknowledgments

US Department of Transportation Ray LaHood Secretary

Vice Admiral Thomas J Barrett Deputy Secretary

Research and Innovative Technology Administration Steven K Smith PhD Acting Deputy Administrator

Bureau of Transportation Statistics Steven D Dillingham PhD Director

Deborah D Johnson Acting Deputy Director

Produced under the direction of Ronald J Duych Acting Assistant Director for Transportation Analysis

Project Manager Long X Nguyen

Data Collection MacroSys David Chesser Adam Mengesha Getachew Mekonnen Mathew Schultz Jie Zhang

Contributors Steven Beningo Kenneth Notis

Editor William H Moore

Cover Design Alpha Glass Wingfield

Introduction Compiled and published by the US Department of Transportations Bureau of Transportation Statistics (BTS) National Transportation Statistics presents information on the US transportation system including its physical components safety record economic performance energy use and environmental impacts National Transportation Statistics is a companion document to the Transportation Statistics Annual Report which analyzes some of the data presented here and State Transportation Statistics which presents state-level data on many of the same topics presented here

The report has four chapters

bull Chapter 1 provides data on the extent condition use and performance of the physical transportation network

bull Chapter 2 details transportations safety record giving data on accidents crashes fatalities and injuries for each transportation mode and hazardous materials

bull Chapter 3 focuses on the relationship between transportation and the economy presenting data on transportations contribution to the gross domestic product employment by industry and occupation and transportation-related consumer and government expenditures

bull Chapter 4 presents data on transportation energy use and transportation-related environmental impacts

Appendix A contains metric conversions of select tables BTS obtained the data in this report from many sources including federal government agencies private industry and associations Documents cited as sources for the tables provide detailed information about definitions methodologies and statistical reliability Some of the data are based on samples and are subject to sampling variability National Transportation Statistics is updated quarterly at wwwbtsgov

Table of Contents INTRODUCTION Table A - Social and Economic Characteristics of the United States (Updated April 2008) Chapter 1 The Transportation System SECTION A PHYSICAL EXTENT 1-1 System Mileage Within the United States (Updated December 2008) 1-2 Number of Air Carriers Railroads Interstate Motor Carriers Marine Vessel Operators and

Pipeline Operators (Updated December 2008)1-3 Number of US Airports (Updated December 2008) 1-4 Public Road and Street Mileage in the United States by Type of Surface (Updated March 2009) 1-5 US Public Road and Street Mileage by Functional System (Updated March 2009) 1-6 Estimated US Roadway Lane-Miles by Functional System (Updated March 2009) 1-7 Number of Stations Served by Amtrak and Rail Transit Fiscal Year (Updated July 2008)1-8 ADA Lift- or Ramp-Equipped Transit Buses (Updated April 2008)1-9 ADA-Accessible Rail Transit Stations by Agency (Updated March 2009)1-10 US Oil and Gas Pipeline Mileage (Updated July 2008) SECTION B VEHICLE AIRCRAFT AND VESSEL INVENTORY 1-11 Number of US Aircraft Vehicles Vessels and Other Conveyances (Updated December 2008) 1-12 US Sales or Deliveries of New Aircraft Vehicles Vessels and Other Conveyances (Updated

March 2009) 1-13 Active US Air Carrier and General Aviation Fleet by Type of Aircraft (Updated December 2007) 1-14 US Automobile and Truck Fleets by Use (Updated April 2007)1-15 Annual US Motor Vehicle Production and Factory (Wholesale) Sales (Updated October 2008)1-16 Retail New Passenger Car Sales (Updated October 2008)1-17 New and Used Passenger Car Sales and Leases (Updated April 2008)1-18 Retail Sales and Lease of New Cars by Sector (Updated December 2008) 1-19 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and

Imported Automobiles (Updated December 2008) 1-20 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and

Imported Light Trucks (Updated December 2008)1-21 Number of Trucks by Weight 1-22 World Motor Vehicle Production Selected Countries (Updated October 2008)1-23 Number and Size of the US Flag Merchant Fleet and Its Share of the World Fleet (Updated March 2009) SECTION C CONDITION 1-24 US Airport Runway Pavement Conditions (Updated December 2008) 1-25 Median Age of Automobiles and Trucks in Operation in the United States (Updated December

2008) 1-26 Condition of US Roadways by Functional System (Updated December 2008) 1-27 Condition of US Bridges (Updated March 2009)1-28a Average Age of Urban Transit Vehicles (Updated March 2009)1-28b Condition of Urban Bus and Rail Transit Maintenance Facilities (Updated April 2008)1-28c Condition of Rail Transit Infrastructure (Updated April 2008)1-29 Class I Railroad Locomotive Fleet by Year Built (Updated April 2008)1-30 Age and Availability of Amtrak Locomotive and Car Fleets (Updated December 2008)1-31 US Flag Vessels by Type and Age (Updated December 2008)

SECTION D TRAVEL AND GOODS MOVEMENT 1-32 US Vehicle-Miles (Updated October 2008)1-33 Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class

(Updated March 2009) 1-34 US Air Carrier Aircraft Departures Enplaned Revenue Passengers and Enplaned Revenue

Tons (Updated July 2008) 1-35 Average Length of Haul Domestic Freight and Passenger Modes (Updated December 2005) 1-36 Worldwide Commercial Space Launches (Updated March 2009) 1-37 US Passenger-Miles (Updated October 2008)1-38 Principal Means of Transportation to Work (Updated December 2008) 1-39 Long-Distance Travel in the United States by Selected Trip Characteristics 2001 1-40 Long-Distance Travel in the United States by Selected Traveler Characteristics 2001 1-41 Passengers Boarded at the Top 50 US Airports (Updated April 2008) 1-42 Air Passenger Travel Arrivals in the United States (Updated April 2008)1-43 Air Passenger Travel Departures from the United States (Updated April 2008)1-44 US-Canadian Border Land-Passenger Gateways Entering the United States (Updated December

2008) 1-45 US-Mexican Border Land-Passenger Gateways Entering the United States (Updated

March 2009) 1-46a US Ton-Miles of Freight (Updated December 2008)1-46b US Ton-Miles of Freight (Updated October 2008)1-47 Top US Foreign Trade Freight Gateways by Value of Shipments (Updated December 2008) 1-48 US-Canadian Border Land Freight Gateways Number of Truck or Railcar Crossings

(Updated December 2008) 1-49 US-Mexican Border Land Freight Gateways Number of Truck or Railcar Crossings

(Updated December 2009) 1-50 US Waterborne Freight (Updated October 2008)1-51 Tonnage of Top 50 US Water Ports Ranked by Total Tons (Updated July 2008) 1-52 Freight Activity in the United States 1993 1997 and 2002 (Updated April 2006) 1-53 Value Tons and Ton-Miles of Freight Shipments within the United States by Domestic

Establishments 2002P (Updated April 2006) 1-54 Value of US Land Exports to and Imports from Canada and Mexico by Mode (Updated

July 2008) 1-55 Crude Oil and Petroleum Products Transported in the United States by Mode (Updated

September 2005) 1-56 US Hazardous Materials Shipments by Transportation Mode 2002 (Updated April 2005) 1-57 US Hazardous Materials Shipments by Hazard Class 2002 (Updated April 2005) SECTION E PHYSICAL PERFORMANCE 1-58 Passengers Denied Boarding by the Largest US Air Carriers (Updated April 2008)1-59 Mishandled-Baggage Reports Filed by Passengers with the Largest US Air Carriers (Updated

April 2008) 1-60 Flight Operations Arriving On Time by the Largest US Air Carriers (Updated April 2008) 1-61 FAA-Cited Causes of Departure and En route Delays (Updated October 2008)1-62 Major US Air Carrier Delays Cancellations and Diversions (Updated December 2008) 1-63 Annual Person-Hours of Highway Traffic Delay per Person (Updated December 2007)1-64 Travel Time Index (Updated December 2007)

1-65 Annual Roadway Congestion Index (Updated December 2007)1-66 Annual Highway Congestion Cost (Updated December 2007)1-67 Amtrak On-Time Performance Trends and Hours of Delay by Cause (Updated December 2008) Chapter 2 Transportation Safety SECTION A MULTIMODAL 2-1 Transportation Fatalities by Mode (Updated December 2008)2-2 Injured Persons by Transportation Mode (Updated December 2008)2-3 Transportation Accidents by Mode (Updated December 2008) 2-4 Distribution of Transportation Fatalities by Mode (Updated December 2008) 2-5 Highway-Rail Grade-Crossing Safety and Property Damage Data (Updated July 2008) 2-6 Hazardous Materials Fatalities Injuries Accidents and Property Damage Data (Updated

December 2008) 2-7 Transportation-Related Occupational Fatalities (Updated December 2008) 2-8 Reporting Thresholds for Property Damage by US Department of Transportation Modal (Updated December 2007) SECTION B AIR 2-9 US Air Carrier Safety Data (Updated December 2008) 2-10 US Commuter Air Carrier Safety Data (Updated October 2008)2-11 US Air Carrier Fatal Accidents by First Phase of Operation (Updated October 2008)2-12 US Commuter Air Carrier Fatal Accidents by First Phase of Operation (Updated July 2008) 2-13 US On-Demand Air Taxi Safety Data (Updated July 2008) 2-14 US General Aviation Safety Data (Updated July 2008) 2-15 Number of Pilot-Reported Near Midair Collisions (NMAC) by Degree of Hazard (Updated July

2008 2-16a Airline Passenger Screening Results by Type of Weapons Detected Persons Arrested and

Bomb Threats Received 2-16b Prohibited Items Intercepted at Airport Screening Checkpoints (Updated December 2008) SECTION C HIGHWAY 2-17 Motor Vehicle Safety Data (Updated July 2008)2-18 Motor Vehicle Fatalities Vehicle-Miles and Associated Rates by Highway Functional System

(Updated March 2009) 2-19 Occupant Fatalities by Vehicle Type and Nonoccupant Fatalities (Updated October 2008)2-20 Occupant and Non-Motorist Fatalities in Crashes by Number of Vehicles and Alcohol

Involvement (Updated March 2009)2-21 Passenger Car Occupant Safety Data (Updated March 2009) 2-22 Motorcycle Rider Safety Data (Updated March 2009) 2-23 Truck Occupant Safety Data (Updated March 2009) 2-24 Bus Occupant Safety Data (Updated March 2009) 2-25 Fatalities by Highest Blood Alcohol Concentration (BAC) in Highway Crashes (Updated

March 2009) 2-26 Number of States with Different Types of Anti-DUIDWI Legislation in Effect as of January 1

of the Listed Year (Updated October 2007) 2-27 Motor Vehicle Fatal Crashes by Day of Week Time of Day and Weather and Light

Conditions (Updated December 2008) 2-28 Motor Vehicle Fatal Crashes by Posted Speed Limit (Updated December 2008)

2-29 Safety Belt and Motorcycle Helmet Use (Updated July 2008)2-30 Estimated Number of Lives Saved by Use of Restraints (Updated July 2008) SECTION D TRANSIT 2-31 Transit Safety and Property Damage Data (Updated March 2009) 2-32 Transit Safety Data by Mode for All Reported Accidents (Updated October 2008)2-33a Transit Safety Data by Mode for All Reported Incidents (Updated October 2008)2-33b Transit and Grade-Crossing Fatalities by Rail Transit Mode (Updated October 2008)2-33c Transit and Grade-Crossing Injuries by Rail Transit Mode (Updated October 2008)2-33d Transit and Grade-Crossing Fatalities by Rail Transit Mode (Updated October 2008)2-34 Reports of Violent Crime Property Crime and Arrests by Transit Mode (Updated July

2008) SECTION E RAILROAD 2-35 Railroad and Grade-Crossing Fatalities by Victim Class (Updated July 2008)2-36 Railroad and Grade-Crossing Injured Persons by Victim Class (Updated July 2008)2-37 Train Fatalities Injuries and Accidents by Type of Accident (Updated July 2008)2-38 Railroad Passenger Safety Data (Updated July 2008) 2-39 Railroad System Safety and Property Damage Data (Updated July 2008) 2-40 Fatalities and Injuries of On-Duty Railroad Employees (Updated July 2008) SECTION F WATER 2-41 Waterborne Transportation Safety and Property Damage Data Related to Vessel Casualties

(Updated March 2009) 2-42 Waterborne Transportation Safety Data not Related to Vessel Casualties (Updated July

2007) 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data (Updated

March 2009)2-44 Personal Watercraft Safety Data (Updated March 2009) 2-45 US Coast Guard Search and Rescue Statistics Fiscal Year (Updated July 2008) SECTION G PIPELINE 2-46 Hazardous Liquid and Natural Gas Pipeline Safety (Updated October 2008) Chapter 3 Transportation and the Economy SECTION A TRANSPORTATION AND THE TOTAL ECONOMY 3-1a US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Current

$ billions) (Updated March 2009)3-1b US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services

(Chained 1996 $ billions) (Updated March 2009) 3-2a US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand

(Current $ billions) (Updated March 2009) 3-2b US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand

(Chained 1996 $ billions) (Updated December 2008) 3-3a US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand

(Current $ billions) (Updated December 2008) 3-3b US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand

(Chained 1996 $ billions) (Updated December 2008)

3-4a Contributions to Gross Domestic Product (GDP) Selected Industries (Current $ billions) (Updated December 2008)

3-4b Contributions to Gross Domestic Product (GDP) Selected Industries (Chained 1996 $ billions) (Updated December 2008)

3-5 Gross Domestic Product (GDP) by Major Social Function (Updated March 2009) 3-6 National Transportation and Economic Trends (Updated March 2009) SECTION B TRANSPORTATION AND CONSUMER EXPENDITURES 3-7 Passenger and Freight Transportation Expenditures 3-8 Sales Price of Transportation Fuel to End-Users (Updated July 2008) 3-9 Price Trends of Gasoline v Other Consumer Goods and Services (Updated October 2007) 3-10a Producer Price Indices for Transportation Services (SIC) (Updated October 2007) 3-10b Producer Price Indices for Transportation Services and Warehousing Services (NAICS)

(Updated March 2009) 3-11a Producer Price Indices for Transportation Equipment 3-11b Producer Price Indices for Transportation Equipment NAICS Basis (Updated March 2009) 3-12 Personal Expenditures by Category (Updated July 2008) 3-13 Personal Consumption Expenditures on Transportation by Subcategory (Updated

March 2009) 3-14 Average Cost of Owning and Operating an Automobile (Updated July 2008) 3-15a Average Passenger Fares (Current $) (Updated December 2008)3-15b Average Passenger Fares (Chained 2000 $) (Updated April 2008) SECTION C TRANSPORTATION REVENUES EMPLOYMENT AND PRODUCTIVITY 3-16 Average Passenger Revenue per Passenger-Mile (Updated April 2008)3-17 Average Freight Revenue per Ton-Mile (Updated April 2008) 3-18 Total Operating Revenues (Updated April 2008)3-19a Employment in For-Hire Transportation and Selected Transportation-Related Industries

(SIC) 3-19b Employment in For-Hire Transportation and Selected Transportation-Related Industries

(NAICS) (Updated December 2008) 3-20a Employment in Transportation Occupations 3-20b Employment in Transportation and Transportation-Related Occupations (Updated December

2008) 3-21a Average Wage and Salary Accruals per Full-Time Equivalent Employee by Transportation

Industry (SIC) 3-21b Average Wage and Salary Accruals per Full-Time Equivalent Employee by Transportation

Industry (NAICS) (Updated December 2008) 3-22a Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by

Detailed Occupation 3-22b Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by

Detailed Occupation (1998 Standard Occupational Classification [SOC] basis) (Updated March 2009)3-23a Total Wage and Salary Accruals by Transportation Industry (SIC) 3-23b Total Wage and Salary Accruals by Transportation Industry (NAICS) (Updated December

2008) 3-24a Labor Productivity Indices for Selected Transportation Industries (SIC) 3-24b Labor Productivity Indices for Selected Transportation Industries (NAICS) (Updated December

2008)

SECTION D GOVERNMENT FINANCE 3-25a Federal State and Local Government Transportation-Related Revenues and Expenditures

Fiscal Year (Current $ millions) (Updated December 2008)3-25b Federal State and Local Government Transportation-Related Revenues and Expenditures

Fiscal Year (Chained 1996 $) (Updated December 2008) 3-26 Summary of Transportation Revenues and Expenditures from Own Funds and User

Coverage Fiscal Year (Current and chained 1996 $ millions) (Updated December 2008) 3-27a Transportation Revenues by Mode and Level of Government Fiscal Year (Current $

millions) (Updated December 2008)3-27b Transportation Revenues by Mode and Level of Government Fiscal Year (Chained 1996 $

millions) (Updated December 2008)3-28 Cash Balances of the Transportation-Related Federal Trust Funds Fiscal Year (Updated

December 2007) 3-29a Transportation Expenditures by Mode and Level of Government From Own Funds Fiscal

Year (Current $ millions) (Updated April 2008) 3-29b Transportation Expenditures by Mode and Level of Government From Own Funds Fiscal

Year (Chained 1996 $ millions) (Updated April 2008)3-30a Federal Transportation Grants to State and Local Governments by Mode Fiscal Year

(Current $ millions) (Updated April 2008)3-30b Federal Transportation Grants to State and Local Governments by Mode Fiscal Year

(Chained 1996 $ millions) (Updated April 2008) Chapter 4 Transportation Energy and the Environment SECTION A US AND TRANSPORTATION SECTION ENERGY CONSUMPTION 4-1 Overview of US Petroleum Production Imports Exports and Consumption (Updated

October 2008)4-2 US Consumption of Energy from Primary Sources by Sector (Updated March 2009) 4-3 Domestic Demand for Refined Petroleum Products by Sector (Updated July 2008) SECTION B TRANSPORTATION ENERGY CONSUMPTION BY MODE 4-4 US Energy Consumption by the Transportation Sector (Updated December 2008) 4-5 Fuel Consumption by Mode of Transportation (Updated December 2007)4-6 Energy Consumption by Mode of Transportation (Updated December 2008)4-7 Domestic Demand for Gasoline by Mode (Updated March 2009)4-8 Certificated Air Carrier Fuel Consumption and Travel (Updated October 2008)4-9 Motor Vehicle Fuel Consumption and Travel (Updated March 2009)4-10 Estimated Consumption of Alternative and Replacement Fuels for Highway Vehicles (Updated December 2008)4-11 Passenger Car and Motorcycle Fuel Consumption and Travel (Updated March 2009)4-12 Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel (Updated March 2009)4-13 Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel (Updated

March 2009) 4-14 Combination Truck Fuel Consumption and Travel (Updated March 2009)4-15 Bus Fuel Consumption and Travel (Updated March 2009) 4-16 Transit Industry Electric Power and Primary Energy Consumption and Travel (Updated

December 2008) 4-17 Class I Rail Freight Fuel Consumption and Travel (Updated October 2008)

4-18 Amtrak Fuel Consumption and Travel (Updated March 2009) 4-19 US Government Energy Consumption by Agency and Source (Updated December 2008) SECTION C TRANSPORTATION ENERGY INTENSITY AND FUEL EFFICIENCY 4-20 Energy Intensity of Passenger Modes (Updated October 2008)4-21 Energy Intensity of Certificated Air Carriers All Services (Updated July 2007) 4-22 Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles (Updated

April 2008)4-23 Average Fuel Efficiency of US Passenger Cars and Light Trucks (Updated December 2008) 4-24 Energy Intensity of Transit Motor Buses (Updated December 2007) 4-25 Energy Intensity of Class I Railroad Freight Service (Updated April 2008)4-26 Energy Intensity of Amtrak Services (Updated April 2008)4-27 Annual Wasted Fuel Due to Congestion (Updated December 2007) 4-28 Annual Wasted Fuel per Person (Updated December 2007) SECTION D AIR POLLUTION 4-29 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light-Duty Vehicles 4-30a Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT1) (Grams per mile) 4-30b Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT2) (Grams per mile) 4-30c Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT3) (Grams per mile) 4-30d Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Duty Trucks (Category LDT4) (Grams per mile) 4-31 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Medium-Duty Passenger Vehicles (MDPV) 4-32a Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Light Heavy-Duty Trucks (Grams per brake horsepower-hour) 4-32b Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and

Diesel-Powered Heavy Heavy-Duty Trucks (Grams per brake horsepower-hour) 4-33 Federal Exhaust Emissions Standards for Newly Manufactured Motorcycles 4-34 Federal Exhaust Emissions Standards for Newly Manufactured and In-Use Aircraft Engines 4-35 Federal Exhaust Emissions Standards for Locomotives 4-36 Federal Exhaust Emissions Standards for Newly Manufactured Marine Spark-Ignition

Outboard Personal Watercraft and Jet-Boat Engines 4-37 Tier 2 Federal Exhaust Emissions Standards for Newly Manufactured Commercial Marine

Compression-Ignition Engines 4-38 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type Using

Gasoline and Diesel (Updated December 2007) 4-39 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type Using

Reformulated Gasoline and Diesel (Updated December 2007)4-40 Estimated National Emissions of Carbon Monoxide (Updated October 2007)4-41 Estimated National Emissions of Nitrogen Oxides (Updated October 2007)4-42 Estimated National Emissions of Volatile Organic Compounds (Updated October 2007)

4-43 Estimated National Emissions of Particulate Matter (PM-10) (Updated October 2007)4-44 Estimated National Emissions of Particulate Matter (PM-25) (Updated December 2008)4-45 Estimated National Emissions of Sulfur Dioxide (Updated December 2008)4-46 Estimated National Emissions of Lead 4-47 Air Pollution Trends in Selected Metropolitan Statistical Areas (Updated March 2009)4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants (Updated April 2007)4-49 US Carbon Dioxide Emissions from Energy Use by Sector (Updated March 2009) SECTION E WATER POLLUTION NOISE AND SOLID WASTE 4-50 Petroleum Oil Spills Impacting Navigable US Waters (Updated October 2007)4-51 Leaking Underground Storage Tank Releases and Cleanups (Updated April 2008) 4-52 Highway Noise Barrier Construction (Updated December 2006)4-53 Number of People Residing in High Noise Areas around US Airports (Updated July 2007) 4-54 Motor Vehicles Scrapped (Updated March 2009) Appendix A Metric Conversion Tables 1-1M System Kilometers Within the United States (Updated December 2008)1-6M Estimated US Roadway Lane-Kilometers by Functional System (Updated April 2008) 1-32M US Vehicle-Kilometers (Updated October 2008)1-33M Roadway Vehicle-Kilometers Traveled (VKT) and VKT per Lane-Kilometer by Functional

Class (Updated April 2008)1-35M Average Length of Haul Domestic Freight and Passenger Modes (Updated April 2005) 1-37M US Passenger-Kilometers (Updated October 2008)1-46aM US Tonne-Kilometers of Freight (Updated December 2008)1-46bM US Tonne-Kilometers of Freight (Updated October 2008)1-50M US Waterborne Freight (Updated October 2008)1-55M Crude Oil and Petroleum Products Transported in the United States by Mode (Updated December

2007) 4-3M Domestic Demand for Refined Petroleum Products by Sector (Updated July 2008) 4-5M Fuel Consumption by Mode of Transportation (Updated December 2007)4-6M Energy Consumption by Mode of Transportation (Updated October 2007)4-7M Domestic Demand for Gasoline by Mode (Updated December 2006) 4-8M Certificated Air Carrier Fuel Consumption and Travel (Updated October 2008)4-9M Motor Vehicle Fuel Consumption and Travel (Updated April 2008) 4-11M Passenger Car and Motorcycle Fuel Consumption and Travel (Updated April 2008)4-12M Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel (Updated April 2008)4-13M Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel (Updated

April 2008)4-14M Combination Truck Fuel Consumption and Travel (Updated April 2008)4-15M Bus Fuel Consumption and Travel (Updated April 2008)4-16M Transit Industry Electric Power and Primary Energy Consumption and Travel (Updated

December 2007) 4-17M Class I Rail Freight Fuel Consumption and Travel (Updated October 2008)4-18M Amtrak Fuel Consumption and Travel (Updated October 2007) 4-19M US Government Energy Consumption by Agency and Source (Updated December 2007) 4-20M Energy Intensity of Passenger Modes (Updated October 2008)4-21M Energy Intensity of Certificated Air Carriers All Services (Updated July 2007)

4-22M Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles (Updated

April 2008)4-23M Average Fuel Efficiency of US Passenger Cars and Light Trucks (Updated December 2008)4-24M Energy Intensiveness of Transit Motor Buses (Updated December 2007) 4-25M Energy Intensity of Class I Railroad Freight Service (Updated April 2008) Appendix B Glossary Appendix C List of Acronyms and Initialisms Appendix D Modal Profiles Air Carrier Profile (Updated April 2008) General Aviation Profile (Updated December 2007) Highway Profile (Updated October 2008) Automobile Profile (Updated July 2008) Truck Profile (Updated December 2008) Bus Profile (Updated December 2007) Transit Profile (Updated December 2007) Rail Profile (Updated July 2008) Water Transport Profile (Updated December 2007) Oil Pipeline Profile (Updated December 2007) Natural Gas Pipeline Profile (Updated December 2007) Appendix E Data Source and Accuracy Statements

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL US resident population a (thousands) 226546 237924 248791 266278 269394 272647 275854 279040 (R) 282217 (R) 285226 (R) 288126 (R) 290796 (R) 293638 296507 299398Population by Age (thousands)Under 18 63754 62623 63949 69465 70226 70917 71428 71947 (R) 72366 (R) 72635 (R) 72906 (R) 73085 (R) 73295 73534 7373618-24 years 30022 28902 26961 25482 25275 25479 26059 26685 (R) 27319 (R) 27999 (R) 28484 (R) 28889 (R) 29236 29333 2945525-34 37082 41696 43174 45052 41809 41345 40757 40178 (R) 39852 (R) 39702 (R) 39768 (R) 39830 (R) 40006 40145 4041635-44 25634 31691 37444 42711 43552 44229 44748 45077 (R) 45187 (R) 45139 (R) 44803 (R) 44387 (R) 44097 43866 4366745-54 22800 22460 25062 31480 32800 34178 35232 36578 (R) 37998 (R) 39378 (R) 39981 (R) 40809 (R) 41619 42487 4327855-64 21703 22135 21116 21320 21590 22099 23011 23778 (R) 24417 (R) 25041 (R) 26590 (R) 27838 (R) 29076 30355 3158765 and over 25550 28415 31084 33769 34143 34402 34619 34798 (R) 35078 (R) 35333 (R) 35594 (R) 35958 (R) 36309 36787 37260Population by Sex a (thousands)Male 110053 115730 121284 130215 131807 133474 135130 136803 138056 (R) 140079 (R) 141592 (R) 142938 (R) 144467 145974 147512Female 116493 122194 127507 136063 137587 139173 140724 142237 143368 (R) 145147 (R) 146534 (R) 147858 (R) 149171 150534 151886Population in Metropolitan areas bh (Thousands) 177000 U 198000 210000 212000 214000 216000 U 232580 236095 238737 241514 244096 246639 249228Large (over 1 million) 119000 U 139000 147000 149000 151000 153000 U 149246 151771 153520 156252 157898 159511 161046Medium (250000-999999) 41000 U 41000 44000 44000 43000 43000 U 55791 57033 57671 57232 58131 59036 60302Small (less than 250000) 17000 U 18000 19000 19000 20000 20000 U 27543 27291 27547 28031 28067 28092 27880Population in Micropolitan areas b (Thousands) NA NA NA NA NA NA NA NA 29478 29629 29787 29687 29835 29986 30211Population in Rural Urbanc areas (thousands) Rural 59495 U 61656 U U U U U 59061 U U U U U UUrban 167051 U 187053 U U U U U 222361 U U U U U UPopulation in Regions a (millions)Northeast 491360 499000 508283 522784 525133 527454 530228 533438 (R) 536676 (R) 539101 (R) 541288 (R) 543274 (R) 544587 (R) 545047 545902South 753720 814000 854558 932492 947172 962451 977223 991645 (R) 1005680 (R) 1008691 (R) 1031884 (R) 1044318 (R) 1058670 (R) 1073849 1088946Midwest 588680 588000 596693 624733 629447 633450 637159 641001 (R) 644966 (R) 648207 (R) 650948 (R) 653473 (R) 656268 (R) 658538 661285West 431733 478000 528375 582776 592191 603115 613930 624319 (R) 634620 (R) 615122 (R) 654760 (R) 663412 (R) 672391 (R) 681524 691416Number of Immigrants admitted d 524295 568149 1535872 720177 915560 797847 653206 644787 841002 1058902 1059356 703542 957883 1122257 1266129Total area e (square miles) 3618770 U 3717796 U U U U U 3794083 U U U U U UGross domestic product (chained $ 2005 billions) f 59466 76709 89777 101348 103270 104987 106153 107688 110035 112675 114642 117082 120446 124339 128265Government total 5097 7362 9069 11031 11317 11573 11854 12223 12626 13105 13712 14348 15020 15687 16420Private industry total 53981 69153 80724 90745 92240 93669 94264 95406 97264 99247 100729 102545 105408 108615 111693Agriculture forestry fishing and hunting 1550 1318 1539 1514 1690 1490 1411 1250 1165 1242 1148 1281 1492 1288 1243Mining 879 981 765 607 767 783 637 709 1051 1086 1040 1412 1672 2257 2473Utilities 1265 1964 1854 2120 2105 2159 2190 2146 2074 2331 2291 2274 2349 2495 2798Construction 1729 2313 2843 3293 3403 3585 3819 4050 4317 4642 4864 5108 5537 6079 6703Manufacturing 12091 13696 15424 16043 15888 15851 15600 15274 14930 14868 14587 14495 14421 14839 15057Wholesale trade 5438 6211 6954 7400 7257 6976 6522 6595 6783 6504 6529 6616 6990 7237 7494Retail trade 6385 7692 8248 8725 8468 8253 8188 8213 8191 7995 8142 8183 8244 8127 8078Transportation and warehousing 2499 2983 3138 3244 3208 3312 3453 3479 3480 3518 3531 3597 3589 3585 3662Information 3706 5279 5741 6163 6290 6355 6321 6269 6244 6245 6192 6089 5914 5705 5587Finance insurance real estate rental and leasing 9243 13449 16785 19832 20540 21254 21621 21917 22355 22954 23661 24221 24938 25490 26047Professional and business services 5152 7242 8861 10763 11066 11493 11896 12313 12786 13154 13435 13518 13920 14532 15040Educational services health care and social assistance 2466 3709 5244 6733 6928 7136 7427 7698 8009 8458 8779 9016 9329 9615 9874Arts entertainment recreation accomodation and food services 1745 2223 2811 3256 3337 3515 3587 3708 3835 3988 4136 4196 4331 4484 4654Other services except government 843 1213 1514 1818 1902 1992 2076 2177 2295 2460 2564 2642 2723 2881 3020Total civilian labor force (thousands) 106940 115461 125840 132304 133943 136297 137673 139368 142583 143734 144863 146510 147401 149320 151428Participation rate of men (percent) 774 763 764 750 749 750 749 747 748 744 741 735 733 733 735Participation rate of women (percent) 515 545 575 589 593 598 598 600 599 598 596 595 592 593 594Number of households (thousands) 80776 86789 93347 98990 99627 101018 102528 103874 104705 108209 109297 111278 112000 113343 114384Average size of households 276 269 263 265 265 264 262 261 262 258 258 257 257 257 257Median household income g (constant $ 2005) U 50291 53942 57159 58384 60265 62023 62493 62697 62779 63344 64132 64186 64457 64771Average household expenditures g (constant $ 2005) U 40643 41095 41039 41874 42228 42503 43345 43130 43576 44141 43326 44850 46409 46862KEY NA = not applicable R = revised U = data are not available

a Estimates as of July 1 except 1980 1990 and 2000 which are as of April 1b New metropolitan area definitions were published by the Office of Budget and Management (OMB) in 2003 These definitions were applied to population data by the Census Bureau beginning with the data from the 2000 Census A new term core based statistical areas (CBSAs) collectively refers to metropolitan and micropolitan statistical areas A metropolitan statistical area is defined as having at least one urbanized area of 50000 or more inhabitants A micropolitan statistical area is defined as having at least one urban cluster of more than 10000 but less than 50000 inhabitantsc As of April 1 of year indicated The Census Bureau only tabulates urban rural numbers for the decennial census yearsd Fiscal year ending September 30e The Census Bureau calculates square mileage comprising land and water area for the decennial census years Data for 1980 comprises land and inland water Data for 1990 comprises land Great Lakes inland water and coastal water Data for 2000 comprises land Great Lakes inland water territorial water and coastal water f Sums of chained-dollar estimates for individual industries do not add to national totals because the chain-type indices used to derive them are based on weights of more than one period Values are calculated to 2005 dollars by the Bureau of Transportation Statistics using Chain-type Price Indexes for Value Added by Industry g Converted to constant 2005 dollars by the Bureau of Transportation Statistics using the CPI-U-RS price indexh Numbers prior to 1999 are estimated to the nearest million

Table A Social and Economic Characteristics of the United States

US Department of Commerce Bureau of the Census Current Population Survey Table HH-6 Average Populaton Per Household and Family 1940 to Present Internet site httpwwwcensusgovpopulationwwwsocdemohh-famhtmlht as of Apr 9 2008Average size of households

1990-99 Ibid National Intercensal Estimates of the United States Resident Population by Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INT-datasetshtml as of Feb 2 2006

US Department of Labor Bureau of Labor Statistics Current Population Survey Table 2 Employment Status of the Civilian Noninstitutional Population 16 years and Over by Sex 1971 to Date Internet site httpwwwblsgovcpscpsaat2pdf as of Jan 18 2006Number of households

SOURCESUS resident population1980 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 2004-2005 (Washington DC 2004) table 11 Internet site hhttpwwwcensusgovprodwwwstatistical-abstracthtml as of Feb 2 20051985 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 15

2000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 7Age1980 Ibid Statistical Abstract of the United States 2004-2005 (Washington DC 2004) table 11 Internet site httpwwwcensusgovprodwwwstatistical-abstracthtml as of Feb 8 20051985 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 121990-99 Ibid National Intercensal Estimates of the United States Resident Population by Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INT-datasetshtml as of Feb 2 20062000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 7 Sex1980 Ibid Statistical Abstract of the United States 2004-2005 (Washington DC 2004) table 11 Internet site httpwwwcensusgovprodwwwstatistical-abstract-04html as of Feb 2 20051985 Ibid Historical Annual Time Series of State Population Estimates and Demographic Components of Change 1980 to 1990 by Single Year of Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchives1980s80s_st_age_sexhtml as of Feb 2 2005 1990-99 Ibid National Intercensal Estimates of the United States Resident Population by Age and Sex (Washington DC 2004) Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INT-datasetshtml as of Feb 2 2006

2000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 7 and similar tables in previous editionsMetropolitan areas1980-90 1998 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 32

2000-06 US Census Bureau Population Division Annual Estimates of the Population of Metropolitan and Micropolitan Statistical Areas table 1 Internet site httpwwwcensusgovpopulationwwwestimatesCBSA-est2007-annualhtml as of Apr 9 2008 Micropolitan areas

2000-06 US Census Bureau Population Division Annual Estimates of the Population of Metropolitan and Micropolitan Statistical Areas table 1 Internet site httpwwwcensusgovpopulationwwwestimatesCBSA-est2007-annualhtml as of Apr 9 2008 Rural urban1980-90 Ibid Statistical Abstract of the United States 2000 (Washington DC 2001) table 372000-06 Ibid Statistical Abstract of the United States 2008 (Washington DC 2008) table 29 Regions 1985 Ibid Statistical Abstract of the United States 1995 (Washington DC 1996) table 271995-99 Ibid Time Series of Intercensal Estimates (Washington DC 2004) httpwwwcensusgovpopestarchives2000svintage_2001CO-EST2001-12 as of Feb 2 20052000-06 US Census Bureau Population Division National and State Population Estimates table 1 Internet sitehttpwwwcensusgovpopeststatesNST-ann-esthtml as of Apr 9 2008 ImmigrantsUS Department of Homeland Security US Citizenship and Immigration Services Yearbook of Immigration Statistics (Washington DC Annual Issues) table 1 Internet site httpwwwdhsgovximgtnstatistics as of Apr 9 2008Total areaUS Department of Commerce Bureau of the Census Statistical Abstract of the United States 2002 (Washington DC2003) table 1Gross domestic product

US Department of Labor Bureau of Labor Statistics Consumer Expenditure Survey Average Annual Expenditures All Consumer Units Internet site httpwwwblsgovdatahomehtm as of Apr 10 2008

US Department of Commerce Bureau of the Census Current Population Survey Table HH-6 Average Populaton Per Household and Family 1940 to Present Internet site httpwwwcensusgovpopulationwwwsocdemohh-famhtmlht as of Apr 9 2008Median household income

US Department of Commerce Bureau of the Census Historical Income Tables Table H-1 Internet site httpwwwcensusgovhheswwwincomehistinch01arhtml as of Apr 10 2008 Average household expenditures

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts Annual Industry Accounts Internet site httpwwwbeagovindustrygpotablesgpo_listcfmanon=66559ampregistered=0 as of Apr 10 2008Civilian labor forceUS Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC 2006) table 2 Internet site httpwwwblsgovcpshomehtm as of Feb 23 2006 Participation rates

Chapter 1The Transportation

System

Section APhysical Extent

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Highwaya 3545693 3689666 3730082 3838146 3859837 3863912 3866926 3883920 3901081 3905211 3906595 3912226 3919652 3945872 3906290 3917243 3936222 3948335 3966485 3974107 3981512 3995635 4016741Class I railbc 207334 199798 196479 191520 164822 145764 119758 116626 113056 110425 109332 108264 105779 102128 100570 99430 99250 97817 100125 99126 97662 95830 94942Amtrakc N N N N 24000 24000 24000 25000 25000 25000 25000 24000 25000 25000 22000 23000 23000 23000 23000 22675 22256 22007 21708Transitd

Commuter railc N N N N N 3574 4132 4038 4013 4090 4090 4160 3682 4417 5172 5191 5209 5209 6831 6809 6875 7118 6972Heavy rail N N N N N 1293 1351 1369 1403 1452 1455 1458 1478 1527 1527 1540 1558 1572 1572 1597 1596 1622 1623Light rail N N N N N 384 483 551 558 537 562 568 638 659 676 802 834 897 960 996 1187 1188 1280Navigable channelse 25000 25000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000Oil pipelinefg 190944 210867 218671 225889 218393 213605 208752 203828 196545 193980 190350 181912 177535 179873 178648 177463 176996 158248 160990 159889 161670 159512 169346Gas pipelineh 630950 767520 913267 979263 1051774 1118875 1189200 1208200 1216100 1277200 1288400 1277600 1323600 1331800 1351200 1340300 1369300 1373500 1411400 1424200 1462300 1437500 1534300

SOURCES

f The large drop in mileage between 2000 and 2001 is due to a change in the source of the datag Includes trunk and gathering lines for crude-oil pipelineh Excludes service pipelines Data not adjusted to common diameter equivalent Mileage as of the end of each year Includes gathering transmission and distribution mains Prior to 1990 data also include field lines See table 1-10 for a more detailed breakout of oil and gas pipeline mileage Length data reported in Gas Facts prior to 1990 was taken from the American Gas Associations member survey the Uniform Statistical Report supplemented with estimates for companies that did not participate Gas Facts length data is now based on information reported to the US Department of Transportation on Form 7100

Table 1-1 System Mileage Within the United States (Statute miles)

KEY N = data do not exist U = data are not available

e These are estimated sums of all domestic waterways which include rivers bays channels and the inner route of the Southeast Alaskan Islands but does not include the Great Lakes or deep ocean traffic The Waterborne Commerce Statistics Center monitored 12612 miles as commercially significant inland shallow-draft waterways in 2001

a All public road and street mileage in the 50 states and the District of Columbia For years prior to 1980 some miles of nonpublic roadways are included No consistent data on private road mileage are available Beginning in 1998 approximately 43000 miles of Bureau of Land Management Roads are excludedb Data represent miles of road owned (aggregate length of road excluding yard tracks sidings and parallel lines)

c Portions of Class I freight railroads Amtrak and commuter rail networks share common trackage Amtrak data represent miles of road operatedd Transit system length is measured in directional route-miles Directional route-miles is the distance in each direction over which public transportation vehicles travel while in revenue service Directional route-miles are computed with regard to direction of service but without regard to the number of traffic lanes or rail tracks existing in the right-of-way Beginning in 2002 directional route-mileage data for the commuter and light rail modes include purchased transportation

Highway1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC Annual issues) table HM-212 1996-2006 Ibid Highway Statistics table HM-20 (Washington DC Annual issues) available at httpwwwfhwadotgovpolicyohpihssindexhtm as of Feb 18 2008Class I rail1960-2006 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 45 and similar tables in earlier editionsAmtrak1980 Amtrak Corporate Planning and Development personal communication (Washington DC)1985-2001 Amtrak Corporate Planning and Development Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar tables in earlier editionsTransit 1985-2006 US Department of Transportation Federal Transit Administration National Transit Database 2005 (Washington DC 2006) table 23 and similar tables in earlier editions available at httpwwwntdprogramgovntdprogram as of Nov 9 2007Navigable channels1960-96 US Army Corps of Engineers Ohio River Division Huntington DistrictOhio River Navigation System Report 1996 Commerce on the Ohio River and its Tributaries (Fort Belvoir VA 1996) p 21997-99 Ibid Waterborne Commerce Statistics Center Databases personal communication Aug 3 20012000-04 Ibid personal communication Apr 21 20062005-06 US Army Corps of Engineers personal communication Dec 12 2006

1960-2006 American Gas Association Gas Facts 2006 (Washington DC 2008) table 5-1 and similar tables in earlier editions

Oil pipeline1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 58 2001-06 US Department of Transportation Pipeline and Hazardous Materials Administration Office of Pipeline Safety Pipeline Statistics available at httpopsdotgovstatshtm as of March 31 2008Gas pipeline

Table 1-2 Number of Air Carriers Railroads Interstate Motor Carriers Marine Vessel Operators and Pipeline Operators1960 1965 1970 1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carriersa N N 39 36 63 102 70 96 96 96 96 94 91 87 83 80 83 82 98Major air carriers N N N N N 13 14 11 12 13 13 13 15 15 15 14 14 17 21Other air carriers N N N N N 89 56 85 84 83 83 81 76 72 68 66 69 65 77Railroads 607 568 517 477 480 500 530 541 553 550 559 555 560 571 552 549 556 560 559Class I railroads 106 76 71 73 39 25 14 11 10 9 9 9 8 8 7 7 7 7 7Other railroads 501 492 446 404 441 475 516 530 543 541 550 546 552 563 545 542 549 553 552Interstate motor carriersb U U U U U U 216000 346000 379000 417000 477486 517297 560393 592909 600104 674314 677317 679744 UMarine vessel operators c U U U U U U U 1381 1348 1311 1235 1174 1114 1063 877 798 767 733 682Pipeline operatorsd N N 1123 1682 2243 (R) 2163 (R) 2198 (R) 2367 (R) 2327 (R) 2281 (R) 2236 (R) 2238 (R) 2157 (R) 2135 (R) 2186 (R) 2216 2240 2166 2297Hazardous liquid N N N N N (R) 171 (R) 171 (R) 197 (R) 205 (R) 216 (R) 219 (R) 215 (R) 220 (R) 220 (R) 218 (R) 235 (R) 278 (R) 302 324Natural gas transmission N N 420 432 474 724 866 975 971 957 889 885 844 (R) 837 (R) 919 (R) 947 (R) 941 (R) 968 992Natural gas distributione

N N 938 1500 1932 1485 1382 1444 1397 1365 1375 1393 1363 1341 1331 (R) 1311 (R) 1344 (R) 1352 1325KEY N = data do not exist R = revised U = data are not available

a Carrier groups are categorized based on their annual operating revenues as major national large regional and medium regional The thresholds were last adjusted July 1 1999 and the threshold for major air carriers is currently $1 billion The other air carrier category contains all national large regional and medium regional air carriers Beginning in 2003 regional air carriers are not required to report financial data which may result in under reporting of Other carriers in this tableb Figures are for the fiscal year October through September The Federal Motor Carrier Safety Administration deletes motor carriers from the Motor Carrier Management Information System (MCMIS) when they receive an official notice of a change in status This most often occurs when a safety audit or compliance review is attempted As a result inactive carriers may be included in the MCMIS

c The printed source materials do not contain totals for the number of operators and data files from which the figures can be determined are not available prior to 1993

d There is some overlap among the operators for the pipeline modes Therefore the total number of pipeline operators is lower than the sum for the three pipeline modese In 1975 and 1980 natural gas distribution includes master meter and mobile home park natural gas distribution operators A master meter system is a pipeline system for distributing gas within but not limited to a definable area such as a mobile home park housing project or apartment complex where the operator purchases metered gas from an outside source for resale through a gas distribution pipeline system The gas distribution pipeline system supplies the ultimate consumer who either purchases the gas directly through a meter or by other means such as by rents

SOURCESAir carriers 1960-2002 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics Quarterly (Washington DC Fourth quarter issues) Alphabetical List of Air Carriers by Carrier Group 2003 Ibid personal communication Oct 5 20042004-06 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics Quarterly (Washington DC Fourth quarter issues) Alphabetical List of Air Carriers by Carrier Group Railroads 1960-85 Association of American Railroads Railroad Ten-Year Trends Vol 2 (Washington DC) table I-21990-98 Ibid Vol 16 (Washington DC 1999) p 101999-2006 Ibid Railroad Facts (Washington DC Annual issues) p 3Interstate motor carriers 1990-2001 US Department of Transportation Federal Motor Carrier Safety Administration Motor Carrier Management Information System and personal communication Nov 6 20012002-05 US Department of Transportation Federal Motor Carrier Safety Administration Analysis and Information Online available at httpaivolpedotgovmcspaasp as of June 4 2004 and personal communication January 2007Marine vessel operators

US Army Corps of Engineers Waterborne Transportation Lines of the United States Volume 1 National Summaries (New Orleans LA Annual issues) table 13Pipeline Operators

US Department of Transportation Office of Pipeline Safety Gas Distribution Systems Gas Transmission amp Gathering Systems and Hazardous Liquid Pipeline Systems Annual Reporting and personal communication as of September 2008

Table 1-3 Number of US Airportsa

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL airports 15161 16319 17490 17581 17846 18317 18343 18224 18292 18345 18770 19098 19281 19356 19572 19581 19820 19854 19983 20341

Public use total 4814 5858 5589 5551 5545 5538 5474 5415 5389 5357 5352 5324 5317 5294 5286 5286 5288 5270 5233 5221Lighted runways percent 662 681 714 719 723 728 735 743 745 746 748 761 759 762 761 762 763 768 772 NPaved runways percent 723 667 707 715 716 722 729 733 737 740 742 742 743 746 745 745 745 748 753 N

Private use total 10347 10461 11901 12030 12301 12779 12869 12809 12903 12988 13418 13774 13964 14062 14286 14295 14532 14584 14757 14839Lighted runways percent 152 91 70 68 66 63 62 64 64 64 63 67 72 80 83 86 90 92 95 NPaved runways percent 133 174 315 320 322 327 330 330 329 330 332 318 320 324 324 327 328 332 333 N

TOTAL airports 15161 16319 17490 17581 17846 (R) 18317 18343 18224 18292 18345 18770 19098 19281 19356 19572 19581 19820 19854 19983 20341Certificatedb total 730 700 680 669 664 670 672 667 671 660 660 655 651 635 633 628 599 575 604 565

Civil N N N N N N 577 572 577 566 566 565 563 560 558 555 542 N N NMilitary N N N N N N 95 95 94 94 94 90 88 75 75 73 57 N N N

General aviation total 14431 15619 16810 16912 17182 (R) 17647 17671 17557 17621 17685 18110 18443 18630 18721 18939 18953 19221 19279 19379 19776 KEY N = data do not exist R = revised

a Includes civil and joint-use civil-military airports heliports STOL (short takeoff and landing) ports and seaplane bases in the United States and its territoriesb Certificated airports serve air-carrier operations with aircraft seating more than 9 passengers As of 2005 the Federal Aviation Administration (FAA) no longer certificates military airports

SOURCEUS Department of Transportation Federal Aviation Administration Administrators Fact Book (Washington DC March 2007) available at httpwwwfaagovaboutoffice_orgheadquarters_officesabaadmin_factbook as of Sep 23 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL paved and unpaved 3546 3690 3730 3838 3860 3864 3867 3884 3901 3905 3907 3912 3934 3958 3949 3930 3950 3962 3981 3988 3995 4010 4031Pavedb total 1230 1455 1658 1855 2073 2114 2255 2280 2303 2278 2342 2378 2381 2410 2420 2451 2504 2523 2578 2612 2578 2601 2630

Low and intermediate type 672 758 897 967 1041 1015 1025 1030 1026 1010 1043 1062 1066 dN dN dN dN dN dN dN dN dN dNHigh-type 558 696 762 888 1032 1099 1230 1250 1277 1268 1299 1316 1314 dN dN dN dN dN dN dN dN dN dN

Unpavedc total 2315 2235 2072 1983 1787 1750 1612 1604 1598 1628 1564 1534 1554 1548 1529 1479 1446 1439 1403 1376 1418 1409 1402

NOTES

SOURCES

KEY N = data do not exist

b Paved mileage includes the following categories low type (an earth gravel or stone roadway that has a bituminous surface course less than 1 thick) intermediate type (a mixed bituminous or bituminous penetration roadway on a flexible base having a combined surface and base thickness of less than 7) high-type flexible (a mixed bituminous or bituminous penetration roadway on a flexible base having a combined surface and base thickness of 7 or more high-type composite (a mixed bituminous or bituminous penetration roadway of more than 1 compacted material on a rigid base with a combined surface and base thickness of 7 or more high-type rigid (Portland cement concrete roadway with or without a bituminous wearing surface of less than 1)

a 1960-95 data include the 50 states and the District of Columbia 1996-2007 data include the 50 states District of Columbia and Puerto Rico

Table 1-4 Public Road and Street Mileage in the United States by Type of Surface a (Thousands of miles)

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-12 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

d Data no longer available for paved minor collectors and local public roads

A public road is any road under the jurisdiction of and maintained by a public authority (federal state county town or township local government or instrumentality thereof) and open to public travel No consistent data on private road mileage are available (although prior to 1980 some nonpublic roadway mileage are included) Most data are provided by the states to the US DOT Federal Highway Administration (FHWA) Some years contain FHWA estimates for some states

c Unpaved mileage includes the following categories unimproved roadways using the natural surface and maintained to permit passability graded and drained roadways of natural earth aligned and graded to permit reasonably convenient use by motor vehicles and that have adequate drainage to prevent serious impairment of the road by normal surface waterndashsurface may be stabilized and soil gravel or stone roadways drained and graded with a surface of mixed soil gravel crushed stone slag shell etcndashsurface may be stabilized The percentage of unpaved roads that are nonsurfaced dropped from approximately 42 in the 1960s to about 37 in the first half of the 1970s to about 32 in 1980 and has held at about 22 since 1985

Numbers may not add to totals due to rounding

1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC) table HM-212 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

1990 1991 1992 1993 1994 1995 1996 1997 b1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL urban and rural mileage 3866926 3883920 3901081 3905211 3906595 3912226 3919652 3945872 3906290 3917243 3936222 3948335 3966485 3974107 3981512 3995635 4016741Urban mileage total 744644 749862 785066 805877 813785 819706 826765 836740 841642 846085 852243 877004 894724 940969 981276 1009839 1029366

Principal arterials Interstates 11527 11602 12516 12877 13126 13164 13217 13247 13312 13343 13379 13406 13491 14460 15129 15703 16044Principal arterials other freeways and expressways 7668 7709 8491 8841 8994 8970 9027 9063 9127 9132 9140 9126 9323 9870 10246 10560 10748Principal arterials other 51968 52515 51900 52708 53110 52796 52983 53223 53132 53199 53314 53056 53439 56870 59695 61803 62830Minor arterials 74659 74795 80815 86821 87857 88510 89020 89185 89496 89432 89789 89962 90411 93888 97433 101673 102975Collectors 78254 77102 82784 84854 86089 87331 87790 88049 88071 88005 88200 88713 89247 97114 102150 106109 108833Local 520568 526139 548560 559776 564609 568935 574728 583973 588504 592974 598421 622741 638813 668767 696623 713991 727936

Rural mileage total 3122282 3134058 3116015 3099334 3092810 3092520 3092887 3109132 3064648 3071158 3083979 3071331 3071761 3033138 3000236 2985796 2987375Principal arterials Interstates 33547 33677 32951 32631 32457 32580 32820 32817 32813 32974 33048 33061 32992 32048 31443 30905 30586Principal arterials other 83802 86747 94947 96770 97175 97948 98131 98257 98852 98838 98919 99185 98853 97038 95946 95156 94937Minor arterials 144774 141795 137685 137577 138120 137151 137359 137497 137308 137462 137575 137587 137568 135596 135449 135408 135386Major collectors 436352 436746 434072 432222 431115 431712 432117 432714 432408 432934 433121 433284 430946 424288 420046 419999 419117Minor collectors 293922 293511 284504 282182 282011 274081 273198 272362 272140 271676 271803 271377 270700 267524 267842 264387 262841Local 2129885 2141582 2131856 2117952 2111932 2119048 2119262 2135485 2091127 2097274 2109513 2096837 2100702 2076644 2049510 2039941 2044508

Table 1-5 US Public Road and Street Mileage by Functional Systema

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-20 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

A public road is any road under the ownership of and maintained by a public authority (federal state county town or township local government or instrumentality thereof) and open to public travel No consistent data on private road mileage are available For more detailed information including breakouts of mileage by ownership and type of surface see the source document

SOURCES1990-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC) table HM-220 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

a Includes the 50 states and the District of Columbia When states did not submit reports data were estimated by the US Department of Transportation Federal Highway Administrationb Beginning in 1998 approximately 43000 miles of Bureau of Land Management roads are excluded

NOTES

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 d1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL lane-miles 7922174 8017994 8051081 8087793 8124090 8132196 8143014 8158253 8178654 8242437 8160858 8177983 8224245 8251847 8295171 8315121 8338821 8371718 8420589 8457353Urban total 1395245 1542339 1670496 1682752 1758731 1803775 1825877 1840107 1857649 1882676 1891608 1895986 1915503 1967047 2006436 2108650 2199155 2263360 2308602 2343858

Interstates 48458 57295 62214 62826 67266 69184 70832 71377 71790 72257 73006 73293 73912 74463 75107 79591 82926 85986 87944 89270Other arterialsb 333673 371649 399376 402360 418208 435386 442474 445828 449480 453623 454060 450411 456181 457567 462855 484171 505328 523838 532933 540189Collectors 145128 162377 167770 165288 176137 179653 183353 185032 186923 188850 187533 186334 188570 189538 190843 207356 217650 225548 231853 233853Local 867986 951018 1041136 1052278 1097120 1119552 1129218 1137870 1149456 1167946 1177009 1185948 1196840 1245479 1277631 1337532 1393251 1427988 1455872 1480546

Rural total 6526929 6475655 6380585 6405041 6365359 6328421 6317137 6318146 6321005 6359761 6269250 6281997 6308742 6284800 6288735 6206471 6139666 6108358 6111987 6113495Interstates 130980 131907 135871 136503 133467 132138 131266 131916 132963 133165 133231 134198 134587 134638 134570 130384 127889 125564 124380 123512Other arterialsb 507098 510005 517342 517813 526714 525906 529818 530706 532856 536989 537993 539293 540457 542337 544011 534278 532045 529555 525686 530476Collectorsc 1431267 1466789 1467602 1467561 1441466 1434473 1432189 1417428 1416662 1418637 1415774 1413953 1414667 1414155 1408752 1388515 1380712 1373348 1372906 1369500Local 4457584 4366954 4259770 4283164 4263712 4235904 4223864 4238096 4238524 4270970 4182252 4194553 4219031 4193670 4201402 4153294 4099020 4079891 4089015 4090007

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-60 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

In estimating rural and urban lane mileage the US Department of Transportation Federal Highway Administration assumes that rural minor collectors and urbanrural local roads are two lanes wide

SOURCES

1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management Highway Statistics Summary to 1995 (Washington DC) table HM-260 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

c Includes minor and major collectors d Beginning in 1998 approximately 138400 lane-miles of Bureau of Land Management roads are excluded

NOTE

a Includes the 50 States and the District of Columbia

b For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterials

Table 1-6 Estimated US Roadway Lane-Miles by Functional Systema

1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Amtrak 510 503 491 487 498 504 516 523 524 535 540 530 542 516 508 510 515 512 515 526 526 527 505 518Rail transit 1822 1895 1920 2164 2027 2143 2169 2192 2240 2286 2376 2382 2325 2391 2524 2567 2595 2621 2784 2797 2909 2936 2975 U

SOURCESAmtrak

Rail transit

2006 Ibid State Fact Sheets Internet site httpwwwamtrakcom as of Feb 16 20072007 Amtrak personal contact as of March 17 2008

Table 1-7 Number of Stations Served by Amtrak and Rail Transit Fiscal Year

KEY U = data are not available

US Department of Transportation Federal Transit Administration National Transit Database 2006 (Washington DC 2008) table 21 and similar tables in earlier editions

Rail transit is the sum of commuter rail heavy rail and light rail In several large urban areas Amtrak and commuter rail stations are shared Starting in 2001 stations serving the Alaska Railroad are included in the rail transit totalRail transit data for 2002 and later years include service both directly operated and purchased Prior to 2002 data only include directly operated service

NOTES

1984-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) 2003-04 Ibid State Fact Sheets Internet site httpwwwamtrakcom as of Nov 11 20052005 Ibid State Fact Sheets Internet site httpwwwamtrakcom as of Mar 22 2006

Year NumberADA

Equipped Percent NumberADA

Equipped Percent NumberADA

Equipped Percent NumberADA

Equipped Percent NumberADA

Equipped Percent1993 3964 3146 794 3542 1911 540 46413 23338 503 1807 693 384 55726 29088 5221994 4738 3795 801 3693 2153 583 46979 24398 519 1613 719 446 57023 31065 5451995 5372 4539 845 3879 2561 660 46355 27420 592 1716 861 502 57322 35381 6171996 5998 5269 878 4233 3081 728 45587 29073 638 1551 893 576 57369 38316 6681997 6853 6194 904 5136 4143 807 45502 29684 652 1484 911 614 58975 40932 6941998 7147 6545 916 5929 5150 869 46188 33512 726 1566 1071 684 60830 46278 7611999 8265 7722 934 6613 5959 901 46891 36029 768 1849 1503 813 63618 51213 8052000 8850 8366 945 7455 6926 929 47017 37581 799 2002 1712 855 65324 54585 8362001 9622 9176 954 7830 7337 937 47925 40501 845 2002 1771 885 67379 58785 8722002 9822 9743 992 8693 8550 984 47764 44035 922 2139 2079 972 68418 64407 9412003 10084 10002 992 9346 9127 977 46608 43780 939 2558 2466 964 68596 65375 9532004 10248 10098 985 10031 10031 1000 45919 44739 974 2591 2586 998 68789 67454 9812005 11118 10846 976 10631 10499 988 45524 43479 955 2231 2225 997 69504 67049 9652006 11537 11315 981 10993 10891 991 45403 44385 978 2294 2289 998 70227 68880 981

KEY ADA = Americans with Disabilities Act of 1992

SOURCE

Total buses

Includes buses of transit agencies receiving federal funding for bus purchases and buses of agencies not receiving federal funds that voluntarily report data to the Federal Transit AdministrationLarge buses have more than 35 seats medium buses have 25-35 seats small buses have less than 25 seats articulated buses are extra-long buses that measure between 54 and 60 feet

Table 1-8 ADA Lift- or Ramp-Equipped Transit Buses

1993-2006 US Department of Transportation Federal Transit Administration 2005 National Transit Summaries and Trends (Washington DC 2007) p 57 and similar tables in earlier editions Internet website httpwwwntdprogramgovntdprogrampubsNTST20062006_NTSTpdf as of Feb 11 2008

Small buses Medium buses Large buses Articulated buses

NOTES

Type of rail transit agency Primary city served 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Heavy railSan Francisco Bay Area Rapid Transit District San Francisco CA 36 39 39 39 39 39 39 43 43 43 43 43 0 0 0 0 0 0 0 0 0 0 0 0Los Angeles County Metropolitan Transportation Authority Los Angeles CA 5 8 8 13 16 16 16 16 16 16 16 16 0 0 0 0 0 0 0 0 0 0 0 0Washington Metropolitan Area Transit Authority Washington DC 74 75 75 76 78 83 83 83 83 86 86 86 0 0 0 0 0 0 35 0 0 0 0 0Miami-Dade Transit Miami FL 21 21 21 21 21 21 21 22 22 22 20 22 100 100 100 100 100 100 0 0 0 0 0 0Metropolitan Atlanta Rapid Transit Authority Atlanta GA 36 36 36 36 36 38 38 38 38 38 38 38 0 0 0 0 0 0 0 0 0 0 0 0Chicago Transit Authority Chicago IL 140 141 141 142 142 144 144 144 144 144 144 144 100 100 100 90 62 56 56 54 50 50 48 44Massachusetts Bay Transportation Authority Boston MA 53 53 53 53 53 53 53 53 53 53 53 53 38 38 38 30 30 28 25 21 21 21 21 8Maryland Transit Administration Baltimore MD 14 14 14 14 14 14 14 14 14 14 14 14 0 0 0 0 0 0 0 0 0 0 0 0Metropolitan Transportation Authority New York City Transit New York NY 468 468 468 468 468 468 468 468 468 468 468 468 94 94 94 93 91 91 91 89 88 86 85 84Port Authority Trans-Hudson Corporation New York NY 13 13 13 13 13 13 11 13 13 13 13 13 54 54 54 54 54 54 55 46 46 46 46 46Metropolitan Transportation Authority Staten Island Railway New York NY 22 22 22 22 22 23 23 23 23 23 23 23 91 91 91 91 91 87 83 83 83 78 78 78The Greater Cleveland Regional Transit Authority Cleveland OH 18 18 18 18 18 18 18 18 18 18 18 18 78 67 67 61 56 56 50 50 44 44 33 28Southeastern Pennsylvania Transportation Authority Philadelphia PA 76 76 76 76 76 76 53 75 75 75 75 75 95 95 95 95 95 95 75 77 76 76 76 68Port Authority Transit Corporation Philadelphia PA 13 13 13 13 13 13 13 13 13 13 13 13 77 77 62 62 62 62 62 62 62 62 62 62Commuter railAltamont Commuter Express San Jose CA U U U U U U 10 10 10 10 10 10 NA NA NA NA NA NA 0 0 0 0 0 0North San Diego County Transit District San Diego CA U U U U U U 8 8 8 8 8 8 NA NA NA NA NA NA 0 0 0 0 0 0Peninsula Corridor Joint Powers Board San Francisco CA U U U U U U 34 34 34 33 32 32 NA NA NA NA NA NA 35 29 29 27 28 25Southern California Regional Rail Authority Los Angeles CA U 45 46 46 47 49 51 53 53 54 54 54 NA 0 0 0 0 0 0 0 0 0 0 0Connecticut Department of Transportation New Haven CT U U U U U U 8 8 8 8 8 8 NA NA NA NA NA NA 0 0 0 0 0 0South Florida Regional Transportation Authority Miami FL U U U U U U 18 18 18 18 18 18 NA NA NA NA NA NA 0 0 0 0 0 0Northeast Illinois Regional Commuter Railroad Corporation Chicago IL 226 226 226 227 227 227 227 227 230 231 238 239 60 54 54 51 49 45 42 41 40 37 33 32Northern Indiana Commuter Transportation District Chicago IL 18 18 18 18 18 18 20 20 20 20 20 20 61 61 61 61 61 61 45 45 40 40 35 35Massachusetts Bay Transportation Authority Boston MA U U 117 119 120 121 124 125 126 126 126 126 NA NA 43 0 38 38 37 35 35 35 33 30Maryland Transit Administration Baltimore MD U U U U U U 42 42 42 42 42 42 NA NA NA NA NA NA 48 48 48 48 48 43New Jersey Transit Corporation New York NY 158 158 158 162 162 162 167 168 167 167 162 162 86 86 74 72 72 72 69 69 59 59 59 59Metropolitan Transportation Authority Long Island Rail Road New York NY 134 134 124 124 124 124 124 124 124 124 124 124 89 89 29 22 22 22 20 20 20 20 20 20Metropolitan Transportation Authority Metro-North Railroad New York NY 106 106 106 106 108 108 109 109 109 109 109 109 84 82 81 81 81 74 73 71 71 71 65 65Pennsylvania Department of Transportation Pennslyvania PA U U U U U U 14 12 12 12 12 12 NA NA NA NA NA NA 71 67 67 67 67 67Southeastern Pennsylvania Transportation Authority Philadelphia PA 181 177 177 177 177 177 153 156 156 156 156 156 86 83 83 83 83 83 69 67 67 65 65 65Dallas Area Rapid Transit Dallas TX U U U U U U 4 4 4 4 4 4 NA NA NA NA NA NA 0 0 0 0 0 0Fort Worth Transportation Authority Fort WorthTX U U U U U U 5 5 5 5 5 5 NA NA NA NA NA NA 0 0 0 0 0 0Virginia Railway Express Washington DC U U U U U U 18 18 18 18 18 18 NA NA NA NA NA NA 0 0 0 0 0 0Central Puget Sound Regional Transit Authority Seattle WA U U U U U U 7 9 9 9 9 9 NA NA NA NA NA NA 0 0 0 0 0 0Northern New England Passenger Rail Authority (NNEPRA) Portland ME NA NA NA NA NA NA NA NA NA NA NA 10 NA NA NA NA NA NA NA NA NA NA NA 0Regional Transity AuthoritY (RTA) Nashville TN NA NA NA NA NA NA NA NA NA NA NA 6 NA NA NA NA NA NA NA NA NA NA NA 0Light railLos Angeles County Metropolitan Transportation Authority Los Angeles CA 36 36 36 36 36 36 36 36 49 49 49 49 0 0 0 0 0 0 0 0 0 0 0 0San Francisco Municipal Railway San Francisco CA 11 11 11 11 11 11 9 9 9 9 9 9 100 100 100 100 100 100 0 0 0 0 0 0Sacramento Regional Transit District Sacramento CA 28 28 28 29 29 29 29 31 41 41 41 48 100 100 100 0 0 0 0 3 2 2 2 2San Diego Trolley Inc San Diego CA 38 41 49 49 49 49 49 49 49 49 53 53 0 0 0 0 0 0 2 2 2 2 0 0Santa Clara Valley Transportation Authority San Jose CA 33 34 34 34 47 49 44 44 57 57 65 65 85 85 85 85 55 53 0 0 0 0 0 0Denver Regional Transportation District Denver CO 15 15 15 15 20 20 20 24 23 23 36 36 0 0 0 0 0 0 0 0 0 0 0 0Hillsborough Area Regional Transit Authority Tampa-St Petersburg FL NA NA NA NA NA NA NA 8 8 8 8 8 NA NA NA NA NA NA NA 0 0 0 0 0New Orleans Regional Transit Authority New Orleans LA 2 9 9 9 9 9 9 9 9 NA 9 9 0 0 0 0 0 0 0 0 0 NA 0 0Massachusetts Bay Transportation Authority Boston MA 95 95 95 95 95 78 78 70 70 70 70 74 91 91 91 87 87 79 79 64 64 64 64 62Maryland Transit Administration Baltimore MD 24 24 32 32 32 32 32 32 32 33 33 33 0 0 0 0 0 0 0 0 0 0 0 0City of Detroit Department of Transportation Detroit MI NA NA NA NA NA 8 8 8 NA NA NA NA NA NA NA NA NA 100 100 100 NA NA NA NABi-State Development Agency St Louis MO 18 18 18 18 18 26 26 28 28 28 28 37 0 0 0 0 0 0 0 0 0 0 0 0New Jersey Transit Corporation Newark NJ 11 11 11 11 11 11 26 27 49 52 52 60 100 100 100 100 100 100 42 44 14 13 13 10Niagara Frontier Transportation Authority Buffalo NY 14 14 14 14 14 14 15 15 15 15 15 15 50 50 50 50 50 50 53 53 53 53 53 53The Greater Cleveland Regional Transit Authority Cleveland OH 33 33 33 34 34 34 34 34 34 34 34 34 94 85 85 79 79 76 76 76 76 76 76 74Tri-County Metropolitan Transportation District of Oregon Portland OR 27 27 29 47 47 47 52 52 62 63 63 63 4 4 3 2 2 2 0 0 0 0 0 0Port Authority of Allegheny County Pittsburgh PA 13 13 13 13 13 13 14 14 25 25 25 25 100 0 0 0 0 0 0 0 0 0 0 0Southeastern Pennsylvania Transportation Authority Philadelphia PA 64 64 64 64 64 64 68 46 46 46 46 45 100 100 100 100 100 100 96 100 98 98 98 98Memphis Area Transit Authority Memphis TN 20 20 27 28 28 28 28 1 7 7 7 7 0 0 0 0 0 0 0 0 0 0 0 0Dallas Area Rapid Transit Dallas TX 14 20 20 20 20 22 29 34 34 34 34 34 0 0 0 0 0 0 0 0 0 0 0 0Island Transit Galveston TX 3 3 3 U U U 3 3 3 3 3 3 0 0 0 NA NA NA 0 0 0 0 0 0Metropolitan Transit Authority of Harris County Houston TX NA NA NA NA NA NA NA NA 16 16 16 16 NA NA NA NA NA NA NA NA 0 0 0 0Utah Transit Authority Salt Lake City UT NA NA NA 16 16 20 20 23 23 24 25 25 NA NA NA 0 0 0 0 0 0 0 0 0Central Puget Sound Regional Transit Authority Seattle WA NA NA NA NA NA NA NA 6 6 6 6 6 NA NA NA NA NA NA NA 0 0 0 0 0King County Department of Transportation Seattle WA 14 14 14 9 9 9 9 9 9 9 9 NA 0 0 0 0 0 0 0 0 0 0 0 NAKenosha Transit Kenosha WI NA NA NA NA 1 1 2 2 2 (R) 2 2 2 NA NA NA NA 100 100 50 50 50 (R) 50 (R) 50 50Metro Transit Minneapolis MN NA NA NA NA NA NA NA NA NA NA NA 17 NA NA NA NA NA NA NA NA NA NA NA 47

Table 1-9 ADA-Accessible Rail Transit Stations by AgencyNumber of stations Percent of Stations Not ADA-Accessible

SOURCEUS Department of Transportation Federal Transit Administration National Transit Database (Washington DC Annual Issues) table 21 available at httpwwwntdprogramgov as of March 2009

KEY ADA = Americans with Disabilities Act of 1992 NA = not applicable R = revised U = data are not available

Rail transit data for 2002 and beyond include both directly operated and purchased transportation Prior to 2002 the data include directly operated service only Stations for US territories are excluded

NOTES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Oil pipeline total 190944 210867 218671 225889 218393 213605 208752 203828 196545 193980 190350 181912 177535 179873 178648 177463 176996 (R) 158248 (R) 160900 (R) 159648 (R) 161670 (R) 159512 169346

Crude linesa 141085 149424 146275 145679 129831 117812 118805 115860 110651 107246 103277 97029 92610 91523 87663 86369 85480 U U U U U UProduct lines 49859 61443 72396 80210 88562 95793 89947 87968 85894 86734 87073 84883 84925 88350 90985 91094 91516 U U U U U U

Gas pipelinebc total 630900 767500 913300 979300 1051800 1118900 1189200 1218200 1216100 1277200 1288400 1277600 1323600 1331800 1351200 1340300 1369300 1373500 1411400 1424200 1462300 1437500 1534300Distribution mains 391400 494500 594800 648200 701800 753400 864600 891400 892000 951800 955600 949800 1001800 1003100 1022100 1007500 1045600 1066300 1079600 1097900 1139800 1117800 1214000Transmission pipelinesd 183700 211300 252200 262600 266500 271200 292200 294100 291500 293300 301500 296900 292200 294000 300100 301000 296600 287100 309500 304000 298900 296400 300400Gathering linese 55800 61700 66300 68500 83500 94300 32400 32700 32600 32100 31300 30900 29600 34700 29000 31800 27100 20100 22300 22300 23700 23300 19900

2001-06 US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety Pipeline Statistics Internet site httpopsdotgovstatshtm as of June 4 2008

1960-2006 American Gas Association Gas Facts (Washington DC Annual issues) table 5-1 and similar tables in earlier editions

d After 1975 includes 5000-6200 miles of underground storage pipe

NOTE

SOURCESOil pipeline1960-2000 Eno Transportation Foundation Inc Transportation in America 2002(Washington DC 2002) p 58

Gas pipeline

Mileage data reported in Gas Facts prior to 1990 was taken from the American Gas Associations member survey the Uniform Statistical Report supplemented with estimates for companies that did not participate Gas Facts mileage data is now based on information reported to the US Department of Transportation on Form 7100

Table 1-10 US Oil and Gas Pipeline Mileage

e Before 1990 data include field line mileage

c Total gas pipeline in 2004 does not add to total due to rounding by the data source

KEY R = revised U = data are not available

a Includes trunk and gathering linesb Excludes service pipe Data are not adjusted to common diameter equivalent Mileage as of the end of each year

Section BVehicle Aircraft and

Vessel Inventory

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AirAir carriera 2135 2125 2679 2495 3808 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 UGeneral aviationb (active fleet) 76549 95442 131743 168475 211045 210654 198000 196874 185650 177120 172935 188089 191129 192414 204710 219464 217533 (R) 211535 (R) 211345 (R) 209778 219426 224352 221943Highway total (registered vehicles) 74431800 91739623 111242295 137912779 161490159 177133282 193057376 192313834 194427346 198041338 201801921 205427212 210441249 211580033 215496003 220461056 225821241 235331382 234624135 236760033 243010549 247421120 250851833Passenger car 61671390 75257588 89243557 106705934 121600843 127885193 133700496 128299601 126581148 127327189 127883469 128386775 129728341 129748704 131838538 132432044 133621420 137633467 135920677 135669897 136430651 136568083 135399945Motorcycle 574032 1381956 2824098 4964070 5693940 5444404 4259462 4177365 4065118 3977856 3756555 3897191 3871599 3826373 3879450 4152433 4346068 4903056 5004156 5370035 5767934 6227146 6686147Other 2-axle 4-tire vehicle N j 14210591 20418250 27875934 37213863 48274555 53033443 57091143 59993706 62903589 65738322 69133913 70224082 71330205 75356376 79084979 84187636 85011305 87186663 91845327 95336839 99124775Truck single-unit 2-axle 6-tire or more N 13999285 3681405 4231622 4373784 4593071 4486981 4480815 4369842 4407850 4906385 5023670 5266029 5293358 5734925 5762864 5926030 5703501 5650619 5848523 6161028 6395240 6649337Truck combinationc 11914249 786510 905082 1130747 1416869 1403266 1708895 1691331 1675363 1680305 1681500 1695751 1746586 1789968 1997345 2028562 2096619 2154174 2276661 1908365 2010335 2086759 2169670Bus 272129 314284 377562 462156 528789 593485 626987 631279 644732 654432 670423 685503 694781 697548 715540 728777 746125 749548 760717 776550 795274 807053 821959Transitd

Motor bus 49600 49600 49700 50811 59411 64258 58714 60377 63080 64850 68123 67107 71678 72770 72142 74228 75013 76075 76190 77328 81033 82027 (P) 83080Light rail cars 2856 1549 1262 1061 1013 717 910 1092 1055 1001 1051 1048 1114 1078 1076 1180 1327 1371 1448 1482 1622 1645 (P) 1801Heavy rail cars 9010 9115 9286 9608 9641 9326 10567 10478 10391 10282 10282 10166 10243 10228 10296 10362 10311 10718 10849 10754 10858 11110 (P) 11052Trolley bus 3826 1453 1050 703 823 676 610 551 665 635 643 695 675 655 646 657 652 600 616 672 597 615 (P) 609Commuter rail cars and locomotives N N N N 4500 4035 4982 5126 5164 4982 5126 5164 5240 5426 5536 5550 5498 5572 5724 5959 6228 6392 (P) 6403Demand response N N N N N 14490 16471 17879 20695 23527 28729 29352 30804 32509 29646 31884 33080 34661 34699 35954 37078 41958 (P) 43509Othere N N N N N 867 1197 1595 1853 2308 2505 2809 3003 3808 4703 5059 5208 5727 6330 6272 6566 (R) 7080 (P) 8741RailClass I Freight cars 1658292 1478005 1423921 1359459 1168114 867070 658902 633489 605189 587033 590930 583486 570865 568493 575604 579140 560154 499860 477751 467063 473773 474839 475415Class I Locomotive 29031 27780 27077 27846 28094 22548 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Nonclass I freight cars 32104 37164 29787 29407 102161 111086 103527 97492 90064 88513 86120 84724 87364 116108 121659 126762 132448 125470 130590 124580 120169 120195 120688Car companies and shippers freight cars 275090 285493 330473 334739 440552 443530 449832 458679 477883 497586 515362 550717 582344 585818 618404 662934 688194 688806 691329 687337 693978 717211 750404Amtrak Passenger train car N N N 1913 2128 1854 1863 1786 1796 1853 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186 1191Amtrak Locomotive N N N 355 419 291 318 316 336 360 338 313 299 332 345 329 378 401 372 442 276 258 319Water Nonself-propelled vessels f 16777 17033 19377 25515 31662 33597 31209 k 30899 30785 30730 31360 32811 33011 33509 33387 33152 33042 32381 31335 31296 32052 32211Self-propelled vessels g 6543 6083 6455 6144 7126 7522 8236 k 8311 8323 8334 8281 8293 8408 8523 8379 8202 8546 8621 8648 8994 8976 8898Oceangoing steam and motor ships (1000 gross tons and over)h 2914 2391 1579 870 849 748 635 621 600 586 544 512 509 495 473 470 461 454 443 416 412 357 286Recreational boats i 2450484 4138140 5128345 7303286 8577857 9589483 10996253 11068440 11132386 11282736 11429585 11734710 11877938 12312982 12565930 12738271 12782143 12876346 12854054 12794616 12781476 12942414 12746126

1960-97 American Public Transit Association Transit Fact Book (Washington DC 1999) table 44

2005-06 lbid personal communication September 2008Recreational boats

1960-2006 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) pgs 49 and 51AmtrakPassenger train-cars and locomotives1975-80 Amtrak State and Local Affairs Department personal communication

1998-2006 Ibid Public Transportation Fact Book (Washington DC 2008) table 15 and similar tables in earlier editions Rail (all categories except Amtrak)

1960-2006 US Department of Transportation US Coast Guard Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsstatshtm as of Mar 11 2008

1985-2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) p 472001-06 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar tables in earlier editionsWater transportationNonself-propelled vessels and self-propelled vessels

1960-2006 US Army Corps of Engineers Volume 1 National Summaries (New Orleans LA Annual issues) table 1 Oceangoing steam motor ships1960-2003 US Department of Transportation Maritime Administration US Flag Merchant Fleet Calendar Years 2003 through 1946 (Washington DC 2004) available at httpwwwmaraddotgov as of Dec 27 2005

2004 Ibid Top 20 Merchant Fleet of the World (Washington DC 2004) available at httpwwwmaraddotgov as of Dec 27 2005

1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Other 2-axle 4-tire vehicles

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Single-unit and combination trucks and buses

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Transit

1980 Ibid General Aviation Activity Survey Calendar Year 1980 (Washington DC 1981) table 1-31985 Ibid Calendar Year 1985 (Washington DC 1987) table 2-91990-2006 Ibid General Aviation and Air Taxi Activity Survey (Annual Issues) table 12 and similar tables in earlier editionsHighway

1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1969 (Washington DC 1969) table 910

SOURCES

1990-94 Ibid Calendar Year 1997 (Washington DC unpublished) table 51 personal communication Mar 19 1999

1970-75 Ibid Calendar Year 1976 (Washington DC 1976) table 8-6

c In 1960 this category includes all trucks and other 2-axle 4-tire vehicles

For more detail on oceangoing vessels see table 1-23

1995-2005 Aerospace Industries Association Aerospace Facts and Figures 20056 (Washington DC 2006) p 90 and similar tables in earlier editions General aviation

k Data for Jan 1 1991-June 30 1991 included in 1990 figure

i Recreational vessels that are required to be numbered in accordance with Chapter 123 of Title 46 USC

NOTES Transit motor bus figure is also included as part of bus in the highway category

Motorcycle

KEY N = data do not exist P = preliminary R = revised

a Air carrier aircraft are those carrying passengers or cargo for hire under 14 CFR 121 and 14 CFR 135 Beginning in 1990 the number of aircraft is the monthly average of the number of aircraft reported in use for the last three months of the year Prior to 1990 it was the number of aircraft reported in use during December of a given yearb 1991-94 data revised to reflect changes in adjustment for nonresponse bias with 1996 telephone survey factors 1995-97 data may not be comparable to 1994 and earlier years due to changes in methodology Includes air taxi aircraft

d Prior to 1984 excludes most rural and smaller systems funded via Sections 18 and 16(b)(2) Urban Mass Transportation Act of 1964 as amended Also prior to 1984 includes total vehicles owned and leasede Other includes aerial tramway automated guideway transit cablecar ferry boat inclined plane monorail and vanpoolf Nonself-propelled vessels include dry-cargo barges tank barges and railroad-car floatsg Self-propelled vessels include dry-cargo andor passenger offshore supply vessels railroad-car ferries tankers and towboatsh Beginning in 2006 vessels are reported if they are greater than 10000 deadweight tons and prior to 2006 boats of greater than 1000 deadweight tons were reported

j All trucks

Table 1-11 Number of US Aircraft Vehicles Vessels and Other Conveyances

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201

1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1970 (Washington DC 1970) table 53

AirAir carrier

1970-75 Ibid 1979 edition (Washington DC 1979) table 511980-85 Ibid Calendar Year 1986 (Washington DC 1986) table 51

Passenger car

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number of civilian aircraft (shipments)Transport a 245 233 311 315 387 278 521 589 567 408 309 256 269 374 559 620 485 526 379 281 (R) 285 (R) 290 398 441Helicopters N 598 482 864 1366 384 603 571 324 258 308 292 278 346 363 361 493 415 318 517 805 947 898 1009General aviation 7588 11852 7283 14072 11881 2029 1144 1021 899 964 928 1077 1115 1549 2193 2475 2802 2618 2196 2130 (R) 2344 (R) 2850 3147 3279HighwayPassenger car (new retail sales) 6641000 9332000 8399000 8624000 8979000 11043000 9300000 8175000 8214000 8518000 8990000 8635000 8526000 8272000 8141721 8698284 8846625 8422625 8103229 7610481 (R) 7545149 (R) 7719553 7820854 7618413Motorcycle (new retail sales) b N N 1125000 940000 1070000 710000 303000 280000 278000 293000 306000 309000 330000 356000 432000 546000 710000 850000 936000 1001000 1063000 1149000 1190000 1124000Truck (factory sales) c 1194475 1716564 1660446 2231630 1667283 3464327 3725205 3387503 4062002 4895224 5640275 5713469 5775730 6152817 6435185 7345019 7022478 6223586 6963720 7143429 7466739 (R) 7246737 6442831 6200712Bus includes school bus (factory sales) U 35241 31994 40530 34385 33533 32731 24058 22484 24549 22409 23918 27583 26882 27483 U U U U U U U U URecreational vehicle (shipments) N 192830 380300 339600 178500 351700 347300 293700 382700 420200 518800 475200 466800 438800 441300 481200 418300 321000 378700 377800 412100 419500 416800 353500Bicycled N N N N 9000000 11400000 10800000 11600000 11600000 13000000 12500000 12000000 10900000 11000000 11100000 11600000 11900000 11300000 13600000 12900000 13000000 14000000 12700000 12800000Transit cars (deliveries)Motor bus e (R) 2806 3000 1424 5261 4572 (R) 5390 (R) 5728 (R) 5961 (R) 4668 (R) 6524 (R) 9740 (R) 9317 (R) 9328 (R) 10529 (R) 9970 (R) 11331 (R) 11916 (R) 15958 (R) 10600 (R) 11754 (R) 9373 (R) 10394 (P) 10944 ULight rail 0 0 0 0 32 63 55 17 35 54 72 38 39 76 80 123 136 111 107 169 127 129 (P) 102 UHeavy rail 416 580 308 127 130 441 10 6 163 260 55 72 10 34 120 122 204 751 828 470 76 50 (P) 462 UTrolley bus 0 0 0 1 98 0 118 149 0 24 36 3 3 0 54 0 0 149 88 103 31 23 (P) 6 UCommuter rail 214 666 302 2165 152 179 83 187 110 8 47 38 111 198 122 132 116 54 166 338 571 476 (P) 137 UClass I rail (deliveries)Freight car f 57047 77822 66185 72392 85920 12080 32063 24678 25761 35239 48819 60853 57877 50396 75685 74223 55791 34260 17714 32184 46871 68612 74729 ULocomotive 389 1387 1029 772 1480 522 530 472 321 504 821 928 761 743 889 709 640 710 745 587 1121 827 922 UAmtrak (deliveries)Passenger train car N N N 109 109 N 58 0 0 0 64 76 92 10 0 0 26 U U U U U U ULocomotive N N N 30 17 10 0 0 20 26 18 10 0 111 35 0 4 U U U U U U UWater transportMerchant vessel g 20 13 13 15 23 14 0 0 3 0 1 1 0 1 4 2 0 2 2 6 (R) 5 7 U URecreational boat h N N N N 569700 636800 494700 448000 466750 498775 576200 663760 634750 610100 (R) 571400 (R) 582500 576800 880300 844100 837900 870100 (R) 864450 912130 841820

b Includes domestic and imported vehicles Prior to 1985 all terrain vehicles (ATVs) were included in the motorcycle total In 1995 the Motorcycle Industry Counrevised its data for the years 1985 to present to exclude ATVs from its totals

KEY N = data do not exist P = preliminary R = revised U = data are not availabl

d Includes domestic and imported vehicles wheel sizes 20 inches and over Data from 1997 onwards are projection

c Includes large passenger or utility vehicles that may be considered cars in other tables and starting in 1999 includes buse

Table 1-12 US Sales or Deliveries of New Aircraft Vehicles Vessels and Other Conveyances

2003-05 Motorcycle Industry Council Inc Motorcycle and Scooter Sales Climb for 14th Consecutive Year media release Feb 16 2007 available at httpwwwmotorcyclesorg as of Apr 23 2007

1995-2007 Aerospace Industries AssociationAerospace Statistics Group 1 General Statistics Series 02 Year-End Review and Forecast Year-End Data Tabletable 5 available at httpwwwaia-aerospaceorgindustry_informationeconomicsaerospace_statistics as of March 17 2009

f Includes all railroads and private car owners

a US-manufactured fixed-wing aircraft over 33000 pounds empty weight including all jet transports plus the 4-engine turboprop-powered Lockheed L-100

g Self-propelled 1000 or more gross tons

e Buses or bus-type vehicles only Includes demand response beginning from 1985 Excludes vanpool vans and most rural and smaller systems prior to 1984 Motor bus numbers in this table are not comparable to the numbers reported in earlier editions due to changes in the methodology by the American Public Transit Association Transit motor bus figure is also included as part of the bus total in the highway category

Motorcycles

Civilian aircraft

h Retail unit estimates Includes outboard inboard and sterndrive boats jet boats (since 1995) personal watercraft (since 1991) sailboats canoes and kayaks (since 2001) Also includes inflatable boats (except 1992 to 2002) and sailboards (until 1990)

1965-75 Ibid Motor Vehicle Facts amp Figures 1998 (Detroit MI 1998) p 12 and similar tables in earlier editions1980-2007 Wards Communications Motor Vehicle Facts amp Figures 2008 (Detroit MI 2008) p 13

SOURCES

1960-1994 Aerospace Industries AssociationAerospace Facts and Figures (Washington DC Annual issues) Civil Aircraft Shipments

HighwayPassenger cars and trucks

2006-07 Motorcycle Industry Council Inc Motorcycle and Scooter Sales Top One Million for Record Sixth Consecutive Year media release Feb 13 2009 available at httpwwwmotorcyclesorg as of March 2009

1960-80 American Automobile Manufacturers Association Motor Vehicle Facts amp Figures 1998 (Southfield MI 1999) p 21 (passenger car) and p 6 (truck)

1985-2007 Wards Communications Motor Vehicle Facts amp Figures 2008 (Detroit MI 2008) p 21 (passenger car) and p 8 (truck)

Buses1965-97 American Automobile Manufacturers Association Motor Vehicle Facts amp Figures 1998 (Detroit MI 1998) p 6 and similar tables in earlier editions

1998 Wards Communications Motor Vehicle Facts amp Figures 1999 (Detroit MI 1999) p 6 and similar tables in earlier editions

1980-2005 National Bicycle Dealers Association Industry Overview available at httpwwwnbdacom as of Apr 23 2007 and personal communication Sept 24 1996

Bicycles

Recreational vehicles

2006-07 National Bicycle Dealers Association A Look at the Bicycle Industrys Vital Statistics available at httpwwwnbdacom as of March 2009

Truck sales for 1960 and for 1999 and later includes buses

NOTE

1970-2000 Motorcycle Industry Council Inc Motorcycle Statistical Annual 2001 (Irvine CA 2002) p 8 and similar tables in earlier editions2001-02 Motorcycle Industry Council Inc Motorcycle Sales Rev Up for 11th Straight Year media release Feb 13 2004 available at httpwwwmicorg as of June 24 2004

Class I rail

1998-2007 National Marine Manufacturers Association2007 Recreational Boating Statistical Abstract (Chicago IL 2007) available at httpwwwnmmaorg asof March 17 2009

1980-1997 National Marine Manufacturers Association Boating 2004 (Chicago IL 2005) annual retail unit estimates available at httpwwwnmmaorg as of Fe7 2006

2003-05 US Department of Transportation Maritime Administration personal communications June 21 200

1975-80 Ibid Railroad Facts 1997 (Washington DC 1997) p 17 and similar pages in earlier editions1985-2000 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)WaterMerchant vessel

Transit

Recreational boat

1960-2002 US Department of Transportation Maritime Administration Merchant Fleets of the World (Washington DC Annual issues) and personal communications Sept 2 2003 Mar 1 2005 and Jan 9 2006

AmtrakAssociation of American RailroadsRailroad Facts 2007 (Washington DC 2006) p 55 and similar pages in earlier editions

American Public Transit Association Public Transportation Fact Book (Washington DC Annual issues) available at httpwwwaptacom as of March 17 2009

1965 1970 1975 1980 f1985 f1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AIR CARRIERa 2125 2679 2495 3805 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 UFixed Wing total 2104 2663 2488 3803 4673 6072 6048 7187 7173 7242 7293 7357 7482 7994 8106 8016 8370 8161 8144 8150 8182 UTurbojet total 725 2136 2114 2526 3164 4148 4167 4446 4584 4636 4832 4922 5108 5411 5630 5956 6296 6383 6523 6691 6839 U

Four engine 511 931 602 436 322 432 410 389 410 420 435 440 450 447 441 432 419 365 337 305 310 UThree engine 173 659 994 1347 1488 1438 1376 1381 1292 1236 1210 1212 1224 1238 1181 1061 996 790 602 519 540 UTwo engine 41 546 518 743 1354 2278 2381 2676 2882 2980 3187 3270 3434 3726 4008 4463 4881 5228 5584 5867 5989 U

Turboprop total 312 374 260 682 1073 1595 1598 1894 1868 1782 1713 1696 1646 1832 1788 1475 1494 1250 1123 989 889 UFour engine 215 110 68 92 108 88 75 107 102 87 81 56 45 39 28 29 24 17 16 17 7 UTwo engine 89 259 192 590 965 1507 1523 1787 1751 1695 1632 1635 1596 1789 1759 1440 1470 1233 1107 968 880 UOne engine 8 5 N N N N N N 15 0 0 5 5 4 1 0 0 0 0 4 2 U

Piston total 1067 153 114 595 436 329 283 847 721 824 748 739 728 751 688 585 580 528 498 470 454 UFour engine 447 34 37 73 38 31 26 20 22 19 15 18 19 17 19 17 16 12 13 20 20 UThree engine 590 110 69 N 4 6 5 5 0 5 1 7 4 3 3 3 3 3 3 2 2 UTwo engine 30 9 8 522 394 292 252 415 293 335 333 317 298 391 292 255 173 154 143 125 126 UOne engine N N N N N N N 407 406 465 399 397 407 340 374 310 388 359 339 323 306 U

Helicopter 21 16 7 2 5 11 6 133 124 128 118 121 134 117 122 39 127 33 32 36 43 UGENERAL AVIATION (GENERAL FLEET)b 95442 161743 168475 211043 196500 198000 196874 185650 177120 172935 188089 191129 192414 204710 219464 217533 211446 211244 209708 219426 224352 221943Fixed Wing total c93130 127934 161570 200094 184700 184500 182585 171671 156936 150158 162342 163691 166854 175203 184723 183276 177697 176283 176624 182867 185373 182186Turbojet total N 950 1776 2992 4100 4100 4126 4004 3663 3914 4559 4424 5178 6066 7120 7001 7787 8355 7997 9298 9823 10379

Two engine N d822 d1742 2551 3600 3700 3863 3738 3426 3652 4071 4077 4638 5513 6387 6215 5643 7655 7465 8649 9097 10379Other N 128 e34 441 50 400 263 266 237 262 488 347 539 552 733 786 831 701 532 650 727 NA

Turboprop total N 1458 2519 4089 5000 5300 4941 4786 4116 4092 4995 5716 5619 6174 5679 5762 6596 6841 7689 8379 7942 8063Two engine N 1287 d2486 3966 4900 4900 4415 4187 3443 3605 4295 4917 4939 5076 4641 5040 5643 5703 5790 5858 5307 5487One engine N 138 33 N N N N N 650 481 668 719 650 1033 1018 678 915 1108 1821 2468 2595 2576Other N 33 N 123 100 400 526 599 24 7 32 80 29 65 21 45 38 30 78 54 40 NA

Piston total 92556 125526 157275 193013 175600 175200 173518 162881 149156 142152 152788 153551 156056 162963 171923 170513 163314 161087 160938 165189 167608 163743Two engine d11422 15835 d20331 24366 22100 21100 20551 17966 15626 14750 15706 16082 15938 18659 20930 20951 18192 17483 17491 18469 19412 18708One engine 81134 109492 136944 168435 153400 154000 152836 144837 133516 127351 137049 137401 140038 144234 150886 149422 145034 143503 143265 146613 148101 145036Other N 199 N 212 100 100 131 77 14 51 33 68 79 70 108 140 89 101 182 107 95 NA

Rotorcraft total 1503 2255 4073 6001 6000 6900 6238 5979 4721 4728 5830 6570 6786 7425 7448 7150 6783 6648 6525 7821 8728 9159Piston N 1666 2499 2794 2700 3200 2390 2348 1846 1627 1863 2507 2259 2545 2564 2680 2292 2351 2123 2315 3039 3264Turbine total N 589 1574 3207 3300 3700 3848 3631 2875 3101 3967 4063 4527 4881 4884 4470 4491 4297 4403 5506 5689 5895

Multiengine N N N N N N N N 629 616 733 643 764 843 839 694 884 686 853 1130 1151 733One engine N 589 N N N N N N 2246 2485 3234 3420 3762 4038 4045 3776 3607 3611 3550 4376 4537 3234

Other Aircraft total 809 1554 2832 4945 5800 6600 8051 8000 5037 5906 4741 4244 4092 5580 6765 6700 6545 6377 6008 5939 6454 6277Gliders N N N N N N N N 1814 2976 2182 1934 2016 2105 2041 2041 1904 1951 2002 2116 2074 1975Lighter-than-Air N N N N N N N N 3223 2931 2559 2310 2075 3475 4725 4660 4641 4426 4006 3823 4380 4303

Experimental total N N N N N N N N 10426 12144 15176 16625 14680 16502 20528 20407 20421 21936 20550 22800 23627 23047Amateur Built N N N N N N N N 6171 8833 9328 11566 10261 13189 16858 16739 16736 18168 17028 19165 19817 19316Exhibition N N N N N N N N 1868 637 2245 2094 1798 1630 1999 1973 2052 2190 2031 2070 2120 2103Other N N N N N N N N 2387 2674 3603 2965 2620 1684 1671 1694 1633 1578 1491 1565 1691 1629

Table 1-13 Active US Air Carrier and General Aviation Fleet by Type of Aircraft (Number of carriers)

KEY N = data do not exist

1992-2006 lbid General Aviation and Air Taxi Activity Survey Calendar Year 2006 (Washington DC 2006) table 12 Internet site httpwwwfaagovdata_statisticsaviation_data_statisticsgeneral_aviation as of Dec 18 2007

1980 Ibid General Aviation Activity and Avionics Survey Annual Report Calendar Year 1980 FAA-MS-81-5 (Washington DC December 1985) table 2-61985 Ibid Annual Summary Report 1994 Data FAA-APO-95-10 (Washington DC 1996) table 121990 Ibid General Aviation and Air Taxi Activity Survey Calendar Year 1999 (Washington DC 2001) table 121991 Ibid General Aviation and Air Taxi Activity Survey Calendar Year 2002 (Washington DC 2004) table 12

General aviation 1965 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1966 Edition (Washington DC 1966) table 511970 Ibid Calendar Year 1971 (Washington DC 1972) table 831975 Ibid Calendar Year 1975 (Washington DC Dec 31 1975) table 84

1980 Ibid Calendar Year 1980 (Washington DC Dec 31 1980) table 521985 Ibid Calendar Year 1993 FAA-APO-95-5 (Washington DC 1995) table 521990-94 Ibid Calendar Year 1996 Internet site httpwwwapifaagovhandbook96toc96htm as of Mar 31 2000 table 521995-2005 Aerospace Industries Association Aerospace Facts and Figures (Washington DC 2006) Active US Air Carrier Fleet and similar tables in earlier editions

Air carriers

1965 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1966 Edition (Washington DC 1966) table 751970 Ibid Calendar Year 1971 (Washington DC 1972) table 551975 Ibid Calendar Year 1975 (Washington DC Dec 31 1975) table 53

NOTE

Prior to 1970 aircraft counts included aircraft retained in FAA data systems until the owners requested that they be deregistered As a result thousands of aircraft that had been destroyed over the years remained in the system Since 1970 annual verification of aircraft registrations is required Failure to comply with this requirement leads to revocation of theregistration certificate and exclusion of the aircraft from the official count of the following year Listed engine configurations (eg two- three- multi-) represent all applicable combinations for each aircraft type Totals may not agree with those in other tables as revisions to prior year data are reported at the aggregate level only

SOURCES

d Multienginee Single-enginef Source reported rounded data for general aviation

a Air carrier aircraft are aircraft carrying passengers or cargo for hire under 14 CFR 121 (large aircraft-more than 30 seats) and 14 CFR 135 (small aircraft-30 seats or less) This definition is more encompassing than that in the Federal Aviation Administration (FAA) Aviation Forecast- jet aircraft 60 seats or more carrying passengers or cargo for hire Beginning in 1990 the number of aircraft is the monthly average reported in use for the last three months of the year Prior to 1990 it was the number of aircraft reported in use during December of a given year b Columns may not add to totals due to estimation procedures and rounding Beginning in 1993 excludes commuters Prior to 1993 single engine turboprops were included in Other turboprops single and multiengine turbine rotorcraft were not shown separately gliders and lighter-than-air aircraft were combined into the Other category and experimental aircraft were included in the appropriate aircraft type For example prior to 1993 the single engine piston aircraft type included both experimental and nonexperimental aircraft Starting in 1993 that aircraft type only includes nonexperimental aircraft Due to changes in methodology beginning in 1995 estimates may not be comparable to those for 1994 and earlier years Values for 1991 through 1994 were revised to reflect changes in adjustment for nonresponse bias c Total includes 574 turbine aircraft of unspecified subtype

f f f f

f f f f

Table 1-14 US Automobile and Truck Fleets by Use (Thousands)

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001e 2002e 2003e 2004e 2005e

TOTAL automobiles and trucks in fleets U U U U U 15257 15570 15869 16879 15530 15196 13642 11985 12128 11884 12274Automobiles in fleets total U U U U U 9042 9124 9225 9550 7742 7346 6640 5600 5647 5514 5621Automobiles in fleets of 25 or more (10 or more cars for 1999-2001 and 15 or more cars for 2002-04)a

Businessb 2889 2628 2492 1751 1722 1326 1295 1188 1159 3195 2950 2620 930 929 873 877Governmentc 538 504 516 401 428 1214 1209 1218 1030 885 883 734 1360 1420 1200 1200Utilities 551 544 548 386 382 376 376 377 359 320 317 U U U U U f

Police 249 250 264 264 266 269 274 280 289 302 306 312 317 317 402 412Taxi (includes vans) 141 141 140 140 141 139 130 181 190 135 136 142 148 148 156 162Rental (includes vans and SUVs) 990 1160 1448 1501 1473 1518 1590 1608 1602 1733 1581 1542 1555 1520 1570 1620

Automobiles in fleets of 4 to 24 (4 to 9 cars for 1999-2001 and 5 to 14 cars for 2002-05)a U U U U U 4200 4250 4373 4921 1172 1173 1290 1290 1313 1313 1350Trucks in fleets total U U U U U 6215 6446 6644 7329 7788 7850 7002 6385 6481 6370 6653Trucks in fleets of 25 or more (10 or more trucks for 1999-2001 and 15 or more cars for 2002-05)a

Businessd U U 1080 1378 1375 1205 1275 1332 1360 3016 3026 2820 2180 2181 2337 2370Governmentc U U 297 632 646 2221 2215 2223 2010 2400 2408 2052 2070 2102 1615 1615Utilities U U 593 493 487 480 482 483 459 499 498 U U U U U f

Other (police taxi etc) U U 7 7 7 7 7 7 8 8 8 9 9 9 26 37Rental trucks (not including vans and SUVs) U U 304 308 363 202 197 179 181 213 248 246 251 289 492 521

Trucks in fleets of 4 to 24 (4 to 9 trucks for 1999-2001 and 5 to 14 cars from 2002-05)a

U U U U U 2100 2270 2420 3311 1652 1662 1875 1875 1900 1900 2110KEY SUV = sport utility vehicle U = data are not available

a The data source Bobit Publishing changed data collection categories in 1999 and again in 2002b Includes driver schoolsc Includes military vehicles and federal state county and local government vehiclesd Businesses with Class 1-5 trucks may include leasing construction plumbing heating food distribution pest control cable TV etc e 2001-2005 data do not include employee-owned fleet information as the source has stopped publishing the dataf Business and utility data have been combined in the 2002 2003 2004 and 2005 issues of the Automotive Fleet Fact Book

SOURCEBobit Publishing Co Automotive Fleet Fact Book annual issues

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Production total 7905 11120 8284 8987 8010 11638 9767 8790 9691 10855 12239 11995 11830 12131 12003 13025 12774 11425 12280 12087 11960 11947 11260

Passenger cars 6703 9335 6550 6717 6376 8186 6078 5440 5667 5982 6601 6340 6083 5934 5554 5638 5542 4879 5019 4510 4230 4321 4367Commercial vehiclesa 1202 1785 1734 2270 1634 3452 3690 3350 4025 4873 5638 5655 5747 6197 6448 7387 7231 6546 7261 7577 7731 7625 6893

Factory (wholesale) sales total 7869 11057 8239 8985 8067 11467 9775 8795 9747 10857 12189 12023 11916 12223 12112 12127 12527 11108 U U U U UPassenger cars 6675 9306 6547 6713 6400 8002 6050 5407 5685 5962 6549 6310 6140 6070 5677 5428 5504 4884 U U U U UCommercial vehiclesa

1194 1752 1692 2272 1667 3464 3725 3388 4062 4895 5640 5713 5776 6153 6435 6699 7022 6224 (R) 7286 (R) 7606 (R) 7759 (R) 7656 6925KEY U = data are not available R = revised

Table 1-15 Annual US Motor Vehicle Production and Factory (Wholesale) Sales (Thousands of units)

SOURCE

1960-2006 Wards Motor Vehicle Facts amp Figures 2007 (Southfield MI 2007) p 3

a Includes trucks under 10000 pounds gross vehicle weight rating (GVWR) such as compact and conventional pickups sport utility vehicles minivans and vans and trucks and buses over 10000 pounds GVWRNOTESFactory sales can be greater than production total because of sales from previous years inventoryNumbers may not add to totals due to rounding

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total new passenger car sales 8400 8624 8949 10979 9303 8189 8213 8518 8991 8635 8526 8272 8142 8698 8847 8423 8103 7610 7506 7667 7781Domesticb 7119 7053 6580 8205 6919 6162 6286 6742 7255 7129 7255 6917 6762 6979 6831 6325 5878 5527 5357 5481 5436Imports 1280 1572 2369 2775 2384 2028 1927 1776 1735 1506 1271 1355 1380 1719 2016 2098 2226 2083 2149 2187 2345

Japan 313 808 1894 2171 1719 1505 1452 1328 1239 982 726 726 691 758 863 837 930 830 810 923 1154Germany 750 493 292 408 263 193 201 186 192 207 237 297 367 467 517 523 547 544 542 534 561Other 217 271 184 196 402 330 275 262 303 317 308 332 322 494 637 738 749 709 797 729 630

Table 1-16 Retail a New Passenger Car Sales (Thousands of units)

1980-2006 Wards Motor Vehicle Facts amp Figures 2007 (Southfield MI 2007) p 22

Numbers may not add to totals due to rounding

1970 American Automobile Manufacturers Association Motor Vehicle Facts amp Figures 1992 (Detroit MI 1992) p 161975 Wards Motor Vehicle Facts amp Figures 2004 (Southfield MI 2004) p 22

NOTE

SOURCES

a Retail new car sales include both sales to individuals and to corporate fleets It also includes leased carsb Includes cars produced in Canada and Mexico

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total vehicle sales and leases 51390 49599 49807 51940 55186 56476 55891 56351 56375 57618 58964 59742 59835 60215 59411 61086 59070 58547New vehicle sales and leases 13860 12309 12857 13883 15045 14718 15090 15114 15534 16879 17344 17118 16810 16643 16866 16948 16504 17129

Passenger cars 9300 8175 8214 8518 8990 8636 8527 8273 8142 8697 8852 8422 8102 7615 7505 7667 7781 8085Light Trucks 4560 4134 4643 5365 6055 6081 6563 6842 7392 8183 8492 8696 8708 9029 (R) 9361 9281 8724 9044

New vehicle salesa 13285 11566 11654 12031 12526 12070 12127 11690 11947 12468 13181 13510 13639 13594 13609 13551 13271 13671Passenger cars 8766 7508 7332 7321 7275 6841 6721 6211 5968 6396 6580 6407 6370 5932 5737 5806 6088 6342Light Trucks 4519 4058 4322 4710 5251 5228 5406 5480 5979 6073 6601 7103 7269 7663 7872 7745 7184 7329

New vehicle leasesb 575 743 1203 1852 2519 2648 2963 3424 3587 4411 4163 3608 3171 3049 3257 3397 3233 3458Passenger cars 534 667 882 1197 1715 1795 1806 2062 2174 2301 2272 2015 1732 1683 1768 1861 1693 1743Light Trucks 41 76 321 655 804 853 1157 1362 1413 2110 1891 1593 1439 1366 1489 1536 1540 1715

Used vehicle salesc 37530 37290 36950 38057 40141 41758 40801 41237 40841 40739 41620 42624 43025 43572 42545 44138 42566 41418Value ($ in billions)d

Total new and used vehicle sales 446 438 486 524 582 611 627 642 651 698 (R) 737 737 721 738 (R) 765 (R) 776 786 774New vehicle sales 227 208 240 267 291 292 298 306 316 348 380 369 371 382 407 (R) 421 445 435Used vehicle sales 219 230 246 257 291 319 329 336 335 350 (R) 356 367 350 356 (R) 358 (R) 355 341 339

Average Price (current $)d

New and used vehicle sales 8672 8823 9759 10078 10543 10818 11221 11385 11545 12098 (R) 12469 12321 12034 12253 (R) 12868 (R) 12695 13827 13451New vehicle sales 16350 16880 18655 19200 19335 19819 19727 20214 20276 20534 21850 21507 22005 22894 24082 (R) 27496 26854 26950Used vehicle sales 5830 6157 6656 6742 7245 7644 8073 8139 8211 8587 (R) 8547 8619 8130 8180 (R) 8410 (R) 8036 8009 8186

KEY R = revised

New vehicle sales

New vehicle leases

Used vehicle sales value and average price

d Includes leased vehicles

SOURCESNew vehicle sales and leases

Table 1-17 New and Used Passenger Car Sales and Leases (Thousands of vehicles)

Calculated by US Department of Transportation Bureau of Transportation Statistics

Manheim Consulting Used Car Market Report (Atlanta GA Annual issues) Internet site httpwwwmanheimconsultingcom as of Mar 12 2008

NOTEVehicle sales value of sales and average prices are from different sources and cannot be calculated from the data presented in this table

US Department of Commerce Bureau of Economic Analysis Underlying Detail for the National Income and Product Account Tables Internet site httpwwwbeadocgov as of Mar 12 2008 table 725S

CNW Marketing Research personal communication Mar 18 2007

a New vehicle sales data is calculated by subtracting CNW Marketings vehicle leasing data from BEAs data which combines sales and leases (see below for sources)b Consumer leases onlyc Used car sales include sales from franchised dealers independent dealers and casual sales

1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007Total sales and leases of new cars 9333 8402 8538 8982 10978 9300 8175 8214 8518 8990 8636 8527 8273 8142 8697 8852 8422 8102 7615 7505 7667 7780 7588

Consumer 7103 6252 5907 6100 7092 5677 4424 4566 4656 4600 4326 4079 3907 3980 4389 4680 4632 4524 4341 4251 4308 4298 4088Business 2140 2056 2508 2758 3754 3477 3648 3529 3672 4183 4070 4223 4166 3943 4076 3949 3568 3373 3074 3061 3143 3236 3250Government 90 94 123 124 132 146 103 119 190 207 241 225 199 218 232 224 223 205 200 193 216 246 251

Percentage of total sales and leasesConsumer 761 744 692 679 646 610 541 556 547 512 501 478 472 489 505 529 550 558 570 566 562 552 539Business 229 245 294 307 342 374 446 430 431 465 471 495 504 484 469 446 424 416 404 408 410 416 428Government 10 11 14 14 12 16 13 15 22 23 28 26 24 27 27 25 26 25 26 26 28 32 33

Table 1-18 Retail Sales and Leases of New Cars by Sector (Thousands of vehicles)

NOTES

This table includes imported cars but not vans trucks or sport utility vehicles

1970-2007 Ibid Underlying Detail for the National Income and Product Account Tables table 725S available at httpwwwbeagov as of November 20081965 US Department of Commerce Bureau of Economic Analysis National Income and Wealth Division unpublished data

KEY R = revised

Annual numbers are calculated by averaging seasonally adjusted monthly data

SOURCES

Numbers may not add to totals due to rounding

Government sales are determined by subtracting the consumer and business sales from total sales

Table 1-19 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and Imported Automobiles (Thousands of vehicles)1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007

SalesTOTAL units 9443 10791 8810 8524 8108 8456 8415 9396 7890 8335 7972 8379 9128 8408 (R) 8304 (R) 7951 7538 8025 8109 7580Small Cars 4825 5519 4999 5032 4440 4537 4720 5190 4197 4443 3839 3919 4266 4065 (R) 3801 (R) 3698 3275 3183 3243 2562Midsize Cars 2987 2777 2342 2114 2120 2330 2057 2515 2359 2399 2968 3141 2894 2480 2807 2483 2522 2886 2425 2748Large Cars 963 1512 1092 1012 1240 1103 1277 1306 1066 1195 913 1059 1665 1416 1252 1261 1185 1234 1548 1390Small Wagons 310 496 160 209 143 301 206 198 90 149 99 78 68 212 236 338 300 365 486 635Midsize Wagons 257 341 184 122 137 166 138 176 169 149 153 181 234 236 208 171 158 238 308 153Large Wagons 102 145 31 34 27 19 16 10 9 0 0 0 0 0 0 0 98 118 98 91Market share percentSmall Cars 511 511 567 590 548 537 561 552 532 533 482 468 467 483 458 (R) 465 434 397 400 338Midsize Cars 316 257 266 248 261 276 244 268 299 288 372 375 317 295 338 312 335 360 299 363Large Cars 102 140 124 119 153 130 152 139 135 143 115 126 182 168 151 159 157 154 191 183Small Wagons 33 46 18 25 18 36 24 21 11 18 12 09 07 25 28 43 40 45 60 84Midsize Wagons 27 32 21 14 17 20 16 19 21 18 19 22 26 28 25 22 21 30 38 20Large Wagons 11 13 04 04 03 02 02 01 01 00 00 00 00 00 00 00 13 15 12 12Fuel economy mpgFleet 235 27 278 280 276 282 280 283 283 284 285 282 282 284 286 289 289 295 292 294Small Cars 261 298 298 300 300 305 304 307 308 309 309 303 303 307 307 306 305 311 31 303Midsize Cars 216 249 262 260 258 261 259 261 265 265 271 271 270 272 277 283 287 298 296 308Large Cars 191 223 237 236 238 242 241 245 243 245 246 248 256 254 260 260 260 264 259 253Small Wagons 286 325 296 306 302 325 329 333 316 322 321 315 292 273 261 302 314 325 314 332Midsize Wagons 211 252 253 259 262 262 260 266 263 263 262 263 273 266 274 272 264 260 278 267Large Wagons 191 209 (R) 227 (R) 229 (R) 227 (R) 225 (R) 229 (R) 228 (R) 232 NA NA NA NA NA NA NA 220 222 217 223KEY mpg = miles per gallon NA = not applicable R = revised

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Energy Office of Energy Efficiency and Renewable Energy Transportation Energy Data Book Edition 27 table 47 (Oak Ridge TN) available at httpctaornlgovdataindexshtml as of November 2008

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007Salesa

TOTAL units 1863 3669 3805 4049 4064 4754 5710 5749 5254 6124 6485 6839 7447 7202 7815 7824 8173 7866 6932 7290Small Pickups 452 497 289 309 252 263 358 298 221 131 260 213 101 81 197 194 161 8 8 0Midsize Pickups 98 616 600 873 716 743 1040 700 698 690 829 761 766 545 466 527 378 216 284 281Large Pickups 887 964 945 738 872 996 1271 1273 1036 1587 1326 1571 1746 1893 1717 1753 1967 2076 1831 1753Small Vans 16 93 30 15 40 12 11 6 2 0 0 0 0 0 0 0 0 0 0 0Midsize Vans 130 600 1124 943 1088 1323 1295 1552 1298 1126 1357 1292 1522 938 1131 1121 893 1429 1092 927Large Vans 96 162 107 76 93 106 112 104 109 139 132 171 170 294 112 111 60 55 57 29Small SUV 60 115 189 136 129 144 188 189 120 489 316 314 400 390 354 264 256 215 119 175Midsize SUV 100 563 447 904 799 1038 1265 1397 1528 1401 1623 1762 1863 1944 1802 2093 2502 2079 2105 2199Large SUV 23 57 72 54 75 129 169 230 241 560 642 754 879 1115 2034 1760 1955 1790 1440 1926Market share percentSmall Pickups 243 135 76 76 62 55 63 52 42 21 40 31 14 11 25 25 20 01 01 00Midsize Pickups 53 168 158 216 176 156 182 122 133 113 128 111 103 76 60 67 46 27 41 39Large Pickups 476 263 248 182 215 210 223 221 197 259 204 230 234 263 220 224 241 264 264 240Small Vans 09 25 08 04 10 03 02 01 00 00 00 00 00 00 00 00 00 00 00 00Midsize Vans 70 164 295 233 268 278 227 270 247 184 209 189 204 130 145 143 109 182 158 127Large Vans 52 44 28 19 23 22 20 18 21 23 20 25 23 41 14 14 07 07 08 04Small SUV 32 31 50 34 32 30 33 33 23 80 49 46 54 54 45 34 31 27 17 24Midsize SUV 54 153 117 223 197 218 222 243 291 229 250 258 250 270 231 268 306 264 304 302Large SUV 12 16 19 13 18 27 30 40 46 91 99 110 118 155 260 225 239 228 208 264Fuel Economy mpgFleet 186 206 207 213 208 210 208 205 208 206 209 205 208 206 206 209 208 214 219 221Small Pickups 243 267 248 250 246 263 249 244 246 249 245 232 263 265 232 232 226 258 263 NAMidsize Pickups 259 257 247 246 238 237 240 247 248 242 239 225 228 218 211 228 218 236 238 237Large Pickups 172 177 180 182 183 187 184 180 182 189 186 185 193 189 187 189 190 194 197 197Small Vans 190 255 239 240 270 282 270 265 262 NA NA NA NA NA NA NA NA NA NA NAMidsize Vans 169 198 218 219 218 223 220 222 228 226 233 230 235 240 237 241 241 242 247 247Large Vans 160 161 165 167 169 170 170 171 171 186 183 179 180 177 179 187 194 194 194 197Small SUV 188 221 234 236 234 232 241 242 285 228 238 241 225 249 247 252 247 230 222 226Midsize SUV 143 197 191 202 199 200 198 196 200 205 208 210 210 217 218 224 225 230 237 246Large SUV 143 169 167 162 157 163 164 166 173 175 174 172 176 185 191 188 189 199 204 208

Table 1-20 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and Imported Light Trucks (Thousands of vehicles)

a Sales period is October 1 of the previous year through September 30 of the current year These figures represent only those sales that could be matched to corresponding US Environmental Protection Agency fuel economy values

SOURCE

US Department of Energy Office of Energy Efficiency and Renewable Energy Transportation Energy Data Book Edition 27 table 48 (Oak Ridge TN) available at httpctaornlgovdataindexshtml as of November 2008

KEY mpg = miles per gallon SUV = sport utility vehicle NA = not applicable

NOTESNumbers may not add to totals due to rounding Total units are now taken directly from the source and may differ slightly from previous editions

Table 1-21 Number of Trucks by Weight

Thousands of trucks Percent

change 1992-

1997

Percent

change 1992-

20021992 1997 2002

ALL trucks 592008 728003 851748 230 439

Light Trucks

Less than 6001 lb 505457 627984 626173 242 239

Medium Trucks

6001 to 10000 lb 46475 53015 171423 141 2688

10001 to 14000 lb 6943 8189 11421 179 645

14001 to 16000 lb 2824 3159 3959 119 402

16001 to 19500 lb 2823 3008 3761 66 332

Light-heavy Trucks

19501 to 26000 lb 7320 7293 9103 -04 244

Heavy Trucks

26001 to 33000 lb 3873 4277 4368 104 128

33001 to 40000 lb 2326 2567 2288 104 -16

40001 to 50000 lb 3386 3999 3184 181 -60

50001 to 60000 lb 2267 3114 3266 374 441

60001 to 80000 lb 7811 10698 11787 370 509

80001 to 100000 lb 333 463 689 390 1069

100001 to 130000 lb 123 179 264 455 1146

130000 lb or more 46 59 63 283 370

Not reported lt50 lt50 N N N

KEY lb = pound N = data do not exist

NOTESAverage vehicle weight is the empty weight of the vehicle plus the average load of the vehicle

Excludes vehicles owned by Federal state or local governments ambulances buses motor homes farm tractors unpowered trailer units and trucks reported to have been sold junked or wrecked prior to July 1 of the year preceding the 1992 and 1997 surveys and January 1 2002 for the 2002 survey

SOURCES

1992 1997 US Census Bureau 1997 Economic Census Vehicle Inventory and Use Survey United States EC97TV-US (Washington DC 1999)

2002 US Census Bureau 2002 Economic Census Vehicle Inventory and Use Survey United States EC02TV-US (Washington DC 2004)

1961 1971 1981 1991 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total world 11391 26453 27407 35287 35730 36111 37318 38474 37286 38816 40732 40144 41215 41782 42832 44113 46512US percent of world 48 32 23 15 19 18 16 15 15 15 14 12 12 11 10 10 9Argentina 78 193 139 114 338 227 269 366 353 225 239 170 111 110 171 183 263Australia 182 393 352 269 323 314 303 320 350 294 324 286 307 366 341 320 298Austria 8 1 7 14 45 59 97 98 91 124 116 131 131 119 227 231 248Belgium N 279 216 253 409 386 368 356 319 218 912 1059 937 792 852 895 882Brazil 98 342 406 705 1248 1297 1459 1680 1244 1102 1348 1482 1521 1505 1756 2009 2092Canada 328 1083 803 1060 1214 1337 1279 1374 1122 1626 1551 1275 1369 1340 1336 1356 1390China N N N 81 250 321 382 482 507 570 620 704 1091 2019 2316 3118 3869Czech Republicb 59 149 181 173 174 208 263 321 368 348 428 457 441 436 443 599 850France 988 2694 2612 3188 3175 3051 3148 2259 2603 2676 2883 3182 3284 3220 2913 3113 2728Germany 1802 3829 3758 4677 4094 4360 4540 4678 5348 5310 4803 5301 4799 5145 5192 5350 5399India 22 42 42 179 237 330 396 410 384 519 514 548 706 907 940 999 1186Italy 694 1701 1257 1633 1341 1422 1318 1563 1402 1410 1422 1272 1126 1026 834 726 893Japan 250 3718 6974 9753 7802 7611 7864 8491 8056 8100 8363 8118 8619 8478 8720 9017 9757South Korea N N 69 1158 1806 2003 2265 2308 1625 2362 2602 2471 2651 2768 2054 2195 2298Malaysia N N N 102 137 164 176 280 126 200 280 345 U U U U UMexico N 154 355 720 857 699 798 855 953 994 1130 1001 960 774 782 846 1098Netherlands 13 78 78 85 92 100 145 197 243 262 215 189 182 163 188 115 87Poland 14 86 248 168 349 347 353 295 460 651 533 367 287 285 516 527 609Portugal N N N N 38 41 119 186 181 187 191 177 183 166 151 138 143Romania N N N 84 85 71 76 108 104 88 58 57 U U U U URussia 149 518 1324 1308 796 838 868 982 U 946 966 1022 981 1010 1110 1068 1174Spain 55 453 855 1943 1974 2131 2213 2342 2217 2029 2445 2211 2267 2399 2403 2098 2079Sweden 110 287 258 269 353 388 368 376 368 385 260 248 238 280 290 289 289Taiwan N N N 266 291 282 265 268 293 255 265 195 245 265 300 324 211Turkey N 13 25 196 213 233 208 243 U U 297 175 204 294 447 454 546United Kingdom 1004 1742 955 1237 1467 1532 1686 1698 1748 1787 1629 1492 1628 1658 1647 1596 1442United States 5522 8584 6253 5439 6614 6351 6083 5927 5554 5638 5542 4879 5019 4510 4230 4321 4367Yugoslavia Federal Republic ofc 15 114 240 213 8 8 9 11 U U U U U U U U U

Table 1-22 World Motor Vehicle Production Selected Countries (Thousands of vehicles)Passenger carsa

1961 1971 1981 1991 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total world 3809 6948 9729 11996 13952 13926 14147 14988 14811 16132 16796 16181 17757 18549 21131 21638 22049US percent of world 30 30 17 28 40 40 40 41 44 46 43 40 41 41 37 35 31Argentina 58 60 33 25 70 59 44 80 105 80 101 66 48 60 89 137 169Australia 49 77 40 15 31 17 19 29 34 17 25 34 37 48 64 69 20Austria 5 6 8 6 3 9 9 10 12 16 25 24 20 21 21 23 27Belgium 1 17 41 84 70 82 69 74 87 74 121 129 119 113 43 31 36Brazil 47 174 374 255 334 332 346 388 329 242 323 316 271 322 454 519 519Canada 63 277 520 829 1106 1071 1118 1198 1050 1430 1411 1258 1260 1213 1376 1332 1182China N N N 628 1103 1114 1084 1096 1121 1235 1389 1628 2160 2425 2754 2590 3410Czech Republicb 17 28 49 29 6 8 9 47 42 27 27 8 6 5 5 5 5France 217 316 408 423 383 424 443 322 351 357 469 447 409 400 439 386 446Germany 411 312 358 358 262 307 303 345 379 378 395 390 346 361 378 408 421India 32 47 107 176 238 306 366 336 129 261 282 277 186 254 571 643 772Italy 65 116 176 245 194 245 227 254 290 291 316 308 301 295 308 313 319Japan 789 2093 4206 3492 2752 2585 2482 2484 1994 1805 1781 1660 1639 1808 1791 1783 1728South Korea N N 65 340 506 523 548 510 329 471 513 475 496 410 1416 1505 1542Malaysia N N N 0 0 0 0 0 7 5 15 14 U U U U UMexico N 57 242 269 266 236 422 503 500 540 792 856 845 801 771 838 948Netherlands 6 13 12 26 23 32 19 20 28 25 52 50 49 56 60 65 72Poland 22 60 60 25 16 34 48 27 39 44 24 20 23 14 76 85 106Portugal N N N 26 87 16 13 81 90 65 56 62 68 74 76 82 84Romania N N N 10 5 22 23 21 23 19 14 12 U U U U URussia 406 612 874 744 206 156 136 192 U 226 237 228 239 269 275 285 328Spain 20 79 132 139 168 203 199 220 609 644 587 639 588 630 610 654 699Sweden 22 30 55 75 82 102 95 104 114 109 36 38 38 43 48 35 39Taiwan N N N 116 132 124 101 113 112 95 100 77 92 122 131 123 92Turkey N 12 22 46 31 49 69 102 U U 133 95 142 240 376 426 442United Kingdom 443 456 230 217 228 233 238 238 233 186 189 193 193 189 209 207 208United States 1131 2088 1690 3372 5649 5635 5716 6192 6452 7387 7228 6546 7261 7577 7731 7656 6893Yugoslavia Federal Republic ofc 5 18 27 26 2 2 1 2 U U U U U U U U U

Commercial vehiclesd

1961 1971 1981 1991 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total world 15200 33401 37136 47283 49682 50036 51465 53463 52098 54948 57528 56325 58973 60331 63963 65750 68561US percent of world 44 32 21 19 25 24 23 23 23 24 22 20 21 20 19 18 16Argentina 136 253 172 139 409 286 313 446 458 305 340 236 159 170 260 320 432Australia 231 470 392 284 354 331 322 349 384 311 348 319 344 413 405 389 318Austria 13 7 15 20 48 68 106 108 103 139 141 155 151 140 249 253 275Belgium 1 296 257 337 479 468 437 430 406 291 1033 1187 1056 904 895 927 918Brazil 145 516 780 960 1582 1629 1805 2067 1573 1344 1671 1798 1793 1827 2210 2528 2611Canada 391 1360 1323 1889 2321 2408 2397 2571 2173 3057 2962 2532 2629 2553 2712 2688 2571China N N N 709 1353 1435 1466 1578 1628 1805 2009 2332 3251 4444 5071 5708 7280Czech Republicb 76 177 230 202 180 216 272 369 411 376 455 465 447 442 448 605 855France 1205 3010 3020 3611 3558 3475 3591 2581 2954 3033 3352 3628 3693 3620 3352 3499 3174Germany 2213 4141 4116 5035 4356 4667 4843 5023 5727 5688 5198 5692 5145 5507 5570 5758 5820India 54 89 149 355 475 636 762 746 513 780 796 825 892 1161 1511 1642 1958Italy 759 1817 1433 1878 1534 1667 1545 1817 1693 1701 1738 1580 1427 1322 1142 1038 1212Japan 1039 5811 11180 13245 10554 10196 10346 10975 10050 9905 10145 9777 10258 10286 10512 10800 11484South Korea N N 134 1498 2312 2526 2813 2818 1954 2832 3115 2946 3148 3178 3469 3699 3840Malaysia N N N 102 137 164 176 280 134 205 295 359 U U U U UMexico N 211 597 989 1123 935 1220 1358 1453 1534 1923 1857 1805 1575 1553 1684 2046Netherlands 19 91 90 111 115 132 164 218 271 287 267 239 231 219 248 181 159Poland 36 146 308 193 365 381 401 322 499 695 556 387 310 300 592 612 715Portugal N N N 26 125 57 132 267 271 252 247 240 251 239 227 219 227Romania N N N 94 90 93 99 129 127 107 72 69 U U U U URussia 555 1130 2198 2052 1002 994 1004 1174 U 1172 1203 1250 1220 1280 1385 1353 1502Spain 75 532 987 2082 2142 2334 2412 2562 2826 2672 3033 2850 2855 3030 3012 2753 2777Sweden 132 317 313 344 435 490 463 480 483 494 296 286 276 323 339 324 327Taiwan N N N 382 423 406 366 381 405 350 365 272 337 387 431 446 303Turkey N 25 47 242 244 282 277 344 U U 431 271 347 534 823 879 988United Kingdom 1447 2198 1185 1454 1695 1765 1924 1936 1981 1973 1817 1685 1821 1846 1856 1803 1650United States 6653 10672 7943 8811 12263 11985 11799 12119 12006 13025 12771 11425 12280 12087 11960 11977 11260Yugoslavia Federal Republic ofc 20 132 267 239 9 10 10 14 U U U U U U U U U

SOURCE

c Yugoslavia no longer exists and Wards does not report numbers for countries that were previously a part of Yugoslovia

Total Passenger carsa and Commercial vehiclesd

Numbers may not add to totals due to rounding

KEY N = data do not exist U = data are not available

Wards Motor Vehicle Facts amp Figures 2007 (Southfield MI 2007) p 14 and similar pages in previous editions

a Does not include minivans pickups and sport utility vehiclesb Formerly Czechoslovakia and Wards does not report a number for Slovakia

d Includes all trucks and buses Light trucks such as pickups sport utility vehicles and minivans are included under commercial vehicles NOTES

Prior to 2000 the country of manufacture was recognized as the producing country To conform with current OICA (International Organization of Motor Vehicle Manufacturers) practices starting in 2000 the country of final assembly was recognized as the producing country This explains the sudden change in trends across some countries from 1999 to 2000

Beginning in 1998 some smaller countries not listed in this table are included in the world totals

Table 1-23 Number and Size of the US Flag Merchant Fleet and Its Share of the World Fleet(Oceangoing ships of 1000 gross tons and over)

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007World fleet 17317 18329 19980 22872 24867 25555 23596 23943 23753 24331 25092 23943 23753 24331 25092 25608 26858 27557 27825 28259 28318 28296 28761 28650 29035 28956 31477 32976US fleet 2926 2376 1579 857 864 737 636 619 603 565 543 619 603 565 543 509 495 477 470 463 454 443 426 418 412 391 347 216US Percentage of the world fleet 169 130 79 37 35 29 27 26 25 23 22 26 25 23 22 20 18 17 17 16 16 16 15 15 14 14 11 07Freighters Total 2138 1747 1076 511 471 417 367 359 349 322 308 359 349 322 308 295 292 288 289 284 286 283 276 209 205 (R) 255 (R) 221 124

DWT (thousands) 21877 18127 11733 7051 6885 7353 7265 7156 7211 7040 6866 7156 7211 7040 6866 6517 6419 6458 6732 6696 6680 6635 6404 5092 5043 (R) 6182 (R) 5457 4058General cargoa

N N N 356 259 209 166 165 182 169 152 165 182 169 152 142 146 142 140 137 136 132 126 123 121 123 96 21 DWT (thousands) N N N 4640 3329 2980 2605 2592 2973 2913 2677 2592 2973 2913 2677 2472 2467 2420 2400 2404 2362 2162 1838 1810 1784 1674 1379 239Containership N N N 109 121 104 92 92 83 87 86 92 83 87 86 81 83 85 91 89 90 91 90 86 84 90 76 82 DWT (thousands) N N N 1773 2289 2651 2856 2856 2722 2812 2802 2856 2722 2812 2802 2600 2639 2743 3096 3056 3058 3200 3292 3282 3259 3660 3102 3426Partial containerships N N N 37 68 63 59 52 30 3 3 52 30 3 3 3 1 1 N N N N N N N N N N DWT (thousands) N N N 510 940 904 836 741 456 57 57 741 456 57 57 57 17 17 N N N N N N N N N NRORO N N N 9 23 41 50 50 54 63 67 50 54 63 67 69 62 60 58 58 60 60 60 65 65 42 49 21 DWT (thousands) N N N 128 327 818 968 967 1060 1258 1330 967 1060 1258 1330 1388 1296 1278 1236 1236 1260 1273 1273 1431 1431 848 976 393Tankers Total 422 341 294 267 308 258 233 226 220 210 200 226 220 210 200 181 173 161 154 154 142 130 120 109 104 100 89 62 DWT (thousands) 7815 7561 7739 9711 16152 15534 15641 14993 14180 13048 11945 14993 14180 13048 11945 11028 10378 9696 9289 9373 8447 7532 6552 5792 5640 5228 4974 3842Petroleumchemicalb ships N N N N N 244 219 212 206 196 186 212 206 196 186 167 159 148 145 146 142 130 120 109 104 100 89 62 DWT (thousands) N N N N N 14574 14681 14033 13279 12143 11040 14033 13279 12143 11040 10123 9473 8857 8737 8845 8447 7532 6552 5792 5640 5228 4974 3842Liquefied petroleum natural gas ships N N N N N 14 14 14 14 14 14 14 14 14 14 14 14 13 9 8 N N N N N N N N DWT (thousands) N N N N N 960 960 960 901 905 905 960 901 905 905 905 905 839 552 528 N N N N N N N NCombinationpassenger and cargo Total 309 227 171 60 65 37 10 10 11 12 13 10 11 12 13 13 15 14 12 11 11 13 12 15 18 15 19 14 DWT (thousands) 2070 1488 1107 388 446 299 91 92 97 104 115 92 97 104 115 115 139 136 116 99 99 105 100 91 108 82 107 46Bulk carriers Total 57 61 38 19 20 25 26 24 23 21 22 24 23 21 22 20 15 14 15 14 15 17 18 20 20 21 18 15 DWT (thousands) 805 1107 767 544 607 1152 1270 1014 991 949 1042 1014 991 949 1042 925 575 321 604 579 604 706 797 837 837 670 543 593KEY DWT = deadweight tons N = data do not exist R = revised RORO = roll-onroll-off vessels

a Includes barge carriersb Includes integrated tugbarges

NOTES Excludes non-merchant type andor US Navy-owned vessels currently in the National Defense Reserve Fleet

Excludes ships operating exclusively on the Great Lakes and inland waterways and special types such as channel ships icebreakers cable ships and merchant ships owned by military forces All data are as of December 31 of year shown 2004 data is as of July 1 2004

SOURCES 1960-2000 US Department of Transportation Maritime Administration Merchant Fleets of the World (Washington DC Annual issues) and unpublished revisions2001-2007 US Department of Transportation Maritime Administration personal communication as of January 2008

Section CCondition

Table 1-24 US Airport Runway Pavement Conditions1986 1990 1993 1997 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

NPIASa airports number 3243 3285 3294 3331 3344 3361 3364 3358 3346 3356 3357 3365 3372 3356Good condition (percent) 61 61 68 72 72 73 73 71 75 75 75 77 78 79Fair condition (percent) 28 29 25 23 23 22 22 24 21 21 21 19 19 18Poor condition (percent) 11 10 7 5 5 5 5 5 4 4 4 4 3 3Commercial service airportsb number 550 568 554 566 547 546 546 536 510 513 517 517 514 522Good condition (percent) 78 78 79 79 78 79 79 79 80 82 79 79 80 81Fair condition (percent) 15 17 18 19 20 19 19 19 18 16 19 18 18 17Poor condition (percent) 7 5 3 2 2 2 2 2 2 2 2 3 2 2KEY NPIAS = National Plan of Integrated Airport Systems

a The US Department of Transportation Federal Aviation Administrations (FAAs) National Plan of Integrated Airport Systems is composed of all commercial service airports all reliever airports and selected general aviation airports It does not include over 1000 publicly owned public-use landing areas privately owned public-use airports and other civil landing areas not open to the general public NPIAS airports account for almost all enplanements In 2005 there were approximately 16500 non-NPIAS airports See table 1-3 for more detail on airports

b Commercial service airports are defined as public airports receiving scheduled passenger service and having at least 2500 enplaned passengers per year

NOTESData are as of January 1 of each year Runway pavement condition is classified by the FAA as followsGood All cracks and joints are sealedFair Mild surface cracking unsealed joints and slab edge spallingPoor Large open cracks surface and edge spalling vegetation growing through cracks and joints

SOURCESCondition

1986-90 US Department of Transportation Federal Aviation Administration National Plan of Integrated Airport Systems (Washington DC 1991)1993 Ibid National Plan of Integrated Airport Systems (Washington DC 1995) 1997 1999-2008 US Department of Transportation Federal Aviation Administration Office of Airport Planning and Programming National Planning Division personal communication Sep 29 2008Total number of airportsIbid personal communication Sep 29 2008

Year Automobiles Light trucksa All trucksb

1990 65 N 651991 67 N 681992 70 N 721993 73 71 751994 75 72 751995 77 74 761996 79 75 771997 81 73 781998 83 71 761999 83 69 722000 83 67 692001 83 61 682002 84 66 682003 86 65 672004 89 64 662005 90 66 682006 92 68 692007 92 71 73

Mean age of household vehicles for several yearsc

Automobile Van Sport utility Pickup Other truckRVmotor

home1969 51 N N N N N1977 55 64 N 73 116 451983 72 85 N 85 124 1071990 76 59 N 84 145 1041995 82 67 66 97 149 1322001 85 70 61 94 168 125

SOURCES

Median age of automobiles

Mean age of household vehiclesUS Department of Transportation Federal Highway Administration 1995 Nationwide Personal Transportation Survey Summary of Travel Trends (Washington DC 1999) US Department of Transportation Federal Highway Administration Bureau of Transportation Statistics 2001 National Household Travel Survey (NHTS) Data available at httpnhtsornlgov2001indexshtml as of Aug 21 2003

Table 1-25 Median Age of Automobiles and Trucks in Operation in the United States

a Gross vehicle weight 1-3

NOTE

KEY N = data do not exist

The RL Polk Co R L Polk amp Co Reports Vehicle Age In US On The Rise available at httpusapolkcomNewsLatestNews as of August 2008

b Gross vehicle weight 1-8

Data for median age of automobiles are as of July 1 of each year

CThe 1969 1977 1983 and 1990 surveys do not include a separate category for sports utility vehicles (SUV) while the 1995 and 2001 surveys do In the 1990 most SUVs were classified as automobiles

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006RURALInterstates miles reported 33547 33677 33027 29089 31502 31254 31312 31431 30498 32820 32888 32951 32907 31956 31341 30802 30512Poor percent 87 76 52 70 65 63 39 36 41 24 21 19 21 16 20 17 10Mediocre percent b b 141 277 265 207 191 191 165 140 122 117 102 98 104 95 90Fair percent 319 317 174 209 239 223 217 207 178 181 169 154 155 154 145 136 128Good percent b b 276 361 332 369 388 410 426 440 448 433 440 439 469 470 465Very good percent 595 607 356 83 99 139 166 157 190 215 239 277 282 293 262 282 307Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 3563 955 1326 1508 1382 2313 153 162 109 84 87 103 92 71Other principal arterials miles reported 83802 85729 94798 78296 89506 89265 92103 92170 93333 97247 97297 97947 97854 96656 95390 94216 94500Poor percent 34 36 33 29 24 44 14 16 14 09 08 07 07 07 09 (R) 08 (R) 08Mediocre percent b b 59 92 82 76 58 49 46 37 32 30 27 28 33 (R) 28 (R) 25Fair percent 426 445 346 548 574 511 491 477 433 415 387 373 356 355 359 (R) 335 (R) 313Good percent b b 285 267 266 279 344 372 383 405 429 425 442 446 449 458 465Very good percent 538 519 276 64 54 90 93 86 123 135 144 165 167 164 149 171 189Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 17905 7489 8683 6028 6083 5524 1587 1619 1247 1009 386 552 946 430Minor arterials miles reported 144735 142866 137637 134837 124877 121443 126381 126525 130591 135192 136096 134698 136955 134984 134884 134358 134914Poor percent 46 43 39 39 35 37 23 23 19 17 17 17 13 13 14 (R) 14 (R) 17Mediocre percent b b 71 91 105 90 82 67 60 52 53 52 45 48 51 (R) 40 (R) 42Fair percent 482 473 364 535 579 547 507 504 472 473 462 449 436 430 443 (R) 420 (R) 407Good percent b b 253 250 236 239 310 336 343 344 356 369 391 412 395 416 415Very good percent 472 484 268 85 45 87 77 70 106 114 112 113 116 97 96 110 118Unpaved percent ndash ndash N N N N N N N N N N N N N N NMiles not reporteda N N N 12740 13294 15708 10978 10978 6664 1968 1436 2883 606 607 573 1049 455Major collectors miles reported 436365 436737 434175 432223 431111 431712 432117 386122 171134 389134 388488 389573 389125 383414 379061 378722 378753Poor percent 89 77 78 68 65 65 67 78 88 154 85 76 77 74 69 65 62Mediocre percent b b 110 124 113 114 103 123 130 158 127 128 118 117 119 120 117Fair percent 438 452 323 377 335 308 344 376 335 448 437 437 434 443 465 463 470Good percent b b 177 163 161 174 200 230 213 172 220 234 249 251 235 242 234Very good percent 362 361 204 159 219 237 184 193 234 67 132 125 122 114 111 110 117Unpaved percent 111 110 107 109 107 102 101 N N N N N N N N N NMiles not reporteda N N N N N N N 2402 217566 N N N N N N N N

URBANInterstates miles reported 11527 11603 12466 10738 12338 12307 12430 12477 12231 13109 13139 13261 13367 14331 14984 15544 15899Poor percent 86 77 71 106 130 104 86 90 94 73 65 74 77 77 72 60 24Mediocre percent b b 132 309 299 268 283 270 255 231 217 208 206 191 177 168 190Fair percent 322 323 170 236 242 238 247 244 218 225 214 209 203 188 195 186 184Good percent b b 280 283 267 275 307 329 320 349 371 359 360 366 382 420 414Very good percent 591 600 347 65 62 114 76 67 114 120 133 149 154 179 174 166 187Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 2140 788 857 787 771 1040 230 226 147 123 131 140 157 139Other freeways and expressway miles reported 7670 7714 8465 7011 7618 7804 8410 8480 8772 8860 8796 8955 9242 9786 10143 10443 10659Poor percent 22 23 26 38 53 48 34 33 32 26 28 31 27 24 21 (R) 19 (R) 15Mediocre percent b b 59 94 127 98 87 87 87 81 81 71 76 83 76 (R) 60 (R) 50Fair percent 439 442 324 606 581 547 547 585 543 536 507 506 486 457 455 (R) 447 (R) 430Good percent b b 281 227 209 204 263 252 271 290 316 315 333 350 374 396 401Very good percent 539 535 310 35 29 103 68 42 66 68 68 77 79 86 74 79 103Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 1846 1377 1166 617 579 397 281 353 176 82 81 98 108 84Other principal arterials miles reported 51987 52349 52165 30337 38598 41444 44498 45009 44886 48045 47890 48931 50016 53431 56831 59743 61064Poor percent 59 66 68 92 125 124 118 121 129 125 132 129 133 127 122 (R) 118 (R) 111Mediocre percent b b 115 133 163 147 141 146 185 181 168 164 164 164 155 (R) 157 (R) 145Fair percent 490 491 348 550 508 472 489 495 453 452 451 457 461 467 468 (R) 472 (R) 449Good percent b b 214 193 166 159 175 178 176 188 194 195 194 195 (R) 200 201 214Very good percent 451 443 253 33 38 97 77 60 58 54 54 55 49 47 55 53 82Unpaved percent N N N N N N N N N N N N N N N N NMiles not reporteda N N N 22498 14492 11352 8485 8209 8246 5154 5426 4126 3422 3440 2863 2064 1765Minor arterials miles reported 74656 74979 80368 86819 87852 88510 89020 88484 45275 88663 88338 88260 89559 92527 96170 100290 101637Poor percent 89 74 79 79 67 67 69 72 57 194 100 105 105 114 130 123 122Mediocre percent b b 143 138 123 136 130 130 122 174 160 159 161 165 158 152 146Fair percent 485 499 341 402 381 369 379 379 360 407 398 411 407 416 408 407 401Good percent b b 192 184 205 204 207 214 221 142 169 168 174 167 159 164 162Very good percent 421 421 240 194 221 221 211 206 240 83 173 157 153 138 145 154 169Unpaved percent 05 06 05 04 03 03 04 N N N N N N N N N NMiles not reporteda N N N N N N N 374 43435 N N N N N N N NCollectors miles reported 78248 77097 82657 84856 86098 87331 87790 86666 53806 86821 86030 86267 87754 94939 99675 103979 106843Poor percent 165 112 105 106 98 97 97 106 81 221 147 146 154 165 181 169 188Mediocre percent b b 169 168 162 168 166 160 128 175 174 173 174 175 167 166 161Fair percent 504 535 352 400 400 390 392 390 394 377 357 366 368 360 343 358 351Good percent b b 173 161 170 172 182 184 188 128 142 135 137 134 132 144 129Very good percent 317 342 191 155 160 166 154 159 209 99 180 181 167 166 177 163 171Unpaved percent 13 11 11 10 09 08 09 N N N N N N N N N NMiles not reporteda N N N N N N N 663 32921 N N N N N N N N

TABLE 1-26 Condition of US Roadways by Functional System

Numbers may not add to totals due to rounding

KEY N = data do not exist ndash = value too small to report

a Historical differences in miles not reported result from the transition from the Present Serviceability Rating (PSR) to the International Roughness Indicator (IRI) b Included in row below

NOTES

Interstates have stricter roughness standards than other roads and its roughness classifications are not comparable with the other categories

SOURCES

1990-92 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-63

1993-2006 Ibid table HM-63 for rural major collector urban minor arterial and urban collector and table HM-64 for all other categories

Data are for the 50 states and the District of Columbia The terms poor and mediocre as used here are Federal Highway Administration (FHWA) pavement condition criteria term categories for quantitative International Roughness Index and Present Serviceability Ratings For further information see US Department of Transportation FHWA Status of the Nations Highways Bridges and Transit 2002 Conditions and Performance Report Exhibit 3-3 available at httpwwwfhwadotgovpolicy as of November 2008 Comparisons of data between pre-1993 and 1993 and later years are difficult because of the transition to a new pavement condition indicator beginning with data published in 1993 Thus trend comparisons should be made with care For additional information refer to the accuracy profile for this table in the appendix Total mileage in this table will not match that in table 1-5 due to a change in the method of preparing mileage data derived from the Highway Performance Monitoring System beginning with the 1997 issue of FHWAs Highway Statistics

Table 1-27 Condition of US Highway Bridges1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

TOTAL all bridges 572205 574036 572197 573716 576460 581135 581863 582751 582976 585542 589674 589685 590887 591940 593813 595363 597340 599766 601396Urban 108770 112363 115312 117488 121141 122537 124950 127633 128312 130339 133384 133401 135339 135415 137598 142408 146041 151171 153407Rural 463435 461673 456885 456228 455319 458598 456913 455118 454664 455203 456290 456284 455548 456525 456215 452955 451299 448595 447989

Structurally deficient bridges total 137865 134534 118698 111980 107683 104317 101518 98475 93072 88150 86678 83595 81261 79775 77752 75923 73784 72520 71461Urban 16847 17032 16323 15932 15692 15205 15094 14846 14073 12967 13079 12705 12503 12316 12175 12600 12585 12951 12896Rural 121018 117502 102375 96048 91991 89112 86424 83629 78999 75183 73599 70890 68758 67459 65577 63323 61199 59569 58565

Functionally obsolete bridges total 100355 97593 80393 80000 79832 80950 81208 77410 79500 81900 81510 81439 81537 80990 80567 80412 80317 79804 79933Urban 30266 30842 26243 26511 27024 27487 28087 26865 27588 29065 29398 29383 29675 29886 30298 31391 32292 33139 33691Rural 70089 66751 54150 53489 52808 53463 53121 50545 51912 52835 52112 52056 51862 51104 50269 49021 48025 46665 46242

NOTES

Explanations for the terms Structurally Deficient and Functionally Obsolete can be found on pages 14 and 15 in Chapter 3 of the Federal Highway Administration 2006 Conditions and Performance Report available at httpwwwfhwadotgovpolicy2006cprpdfschap3pdfUS totals include the 50 states the District of Columbia and Puerto RicoTable includes RuralndashInterstate principal arterial minor arterial major collector minor collector and local roads UrbanndashInterstate other freeways or expressways other principal arterial minor arterial collector and local roads Data for 1990 1992 1997-99 2000 and 2007 are as of December of those years data for 1991 and 1994-96 are as of June of those years data for 1993 are as of September of that year data for 2000 are as of August of that year and data for 2002-06 are as of July of those years

SOURCES1990-2000 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics based on data from Federal Highway Administration Office of Bridge Technology National Bridge Inventory (NBI) personal communication Aug 14 2001 and Apr 24 2008

2001-08 US Department of Transportation Federal Highway Administration Office of Bridge Technology National Bridge Inventory (NBI) Count of Bridges by Highway System available at httpwwwfhwadotgovbridgebritabhtm as of Mar 18 2009

Table 1-28a Average Age of Urban Transit Vehicles (Years)1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Transit railCommuter rail locomotivesa 163 157 153 158 156 153 159 176 170 147 132 134 142 160 166 160 165 169 184Commuter rail passenger coaches 191 176 173 193 186 201 214 241 216 194 175 169 181 201 205 179 186 186 189Commuter rail self-propelled passenger cars 123 159 165 176 182 160 198 211 223 232 243 254 262 271 254 236 194 159 169Heavy-rail passenger cars 171 162 169 177 178 158 193 202 211 220 225 229 217 200 190 198 208 216 216Light rail vehicles (streetcars) 206 152 166 170 149 167 168 160 159 157 157 161 164 163 156 155 145 153 161Transit busb

Articulated 34 76 82 91 95 101 107 113 117 112 85 66 59 58 58 46 49 54 62Full-size 81 82 80 83 85 87 86 87 85 85 84 81 78 75 73 72 76 74 62Mid-size 56 66 67 68 64 69 68 63 58 58 56 56 56 56 57 57 58 62 65Small 48 39 40 41 40 41 40 40 39 40 40 41 40 40 40 41 41 43 43Trolley U 109 103 112 120 111 131 140 147 146 156 164 204 154 116 85 94 90 85OtherVans 38 28 30 31 31 39 31 31 30 29 31 31 33 49 34 34 34 31 31Ferry boats U 217 196 227 247 235 234 253 254 258 251 256 247 268 271 256 256 217 203KEY U = data are not available

a Locomotives used in Amtrak intercity passenger services are not includedb Full-size buses have more than 35 seats mid-size buses have 25-35 seats small buses have fewer than 25 seats

SOURCESAll data except full-size mid-size small and articulated transit busUS Department of Transportation Federal Transit Administration National Transit Database 2007 (Washington DC 2008) table 25 and similar tables in earlier editions available at httpwwwntdprogramgovntdprogram as of Mar 18 2009Full-size mid-size small and articulated transit bus1985-91 US Department of Transportation Federal Transit Administration National Transit Database 1991 (Washington DC 1993) table 29 and similar tables in earlier editions

1992-2007 Ibid National Transit Summaries and Trends 2007 (Washington DC 2008) p 53 and similar tables in earlier editions available at httpwwwntdprogramgovntdprogram as of Mar 18 2009

TABLE 1-28b Condition of Urban Bus and Rail Transit Maintenance Facilities1995 1997 2000 2002 2004 2006

Bus number of facilitiesa 484 503 497 1219 1207 1200Excellent 102 13 46 83 208 213Good 257 86 41 68 62 69Adequate 34 285 266 672 551 571Substandard 29 93 121 387 379 334Poor 63 26 23 10 6 13

Rail number of facilities 123 125 150 152 152 200Excellent 8 7 0 27 40 47Good 56 53 32 18 26 25Adequate 15 17 64 76 74 110Substandard 15 17 36 27 10 16Poor 5 6 18 3 2 2

a These data are derived from the Transit Economic Requirements Model (TERM) TERM uses uses statistically determined decay curves to simulate the deterioration of the Nations transit vehicles facilities and other infrastructure components National Transit Database (NTD) data are applied to these decay curves to estimate conditions Only the condition of directly operated facilities are provided for 1995 1997 and 2000 The NTD began gathering information on facilities owned by bus systems providing services under contract in 1999 (known as purchased transportation) however TERM did not base condition estimates on this full set of facilities until 2002

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Transportation Federal Transit Administration Transit Economic Requirements Model as of Feb 12 2008

TABLE 1-28c Condition of Rail Transit Infrastructure (Percent) 1995 1997 2000 2002 2004 2006

StationsExcellent 14 11 1 3 7 4Good 47 46 33 22 28 29Adequate 12 15 50 18 14 19Substandard 12 13 16 26 51 48Poor 15 15 0 30 0 0Communication SystemsExcellent N 0 0 7 12 11Good N 61 62 69 63 43Adequate N 16 12 10 25 46Substandard N 12 14 6 0 0Poor N 10 12 8 0 0Train Control SystemsExcellent N 9 7 6 0 1Good N 52 56 66 45 34Adequate N 16 17 11 29 40Substandard N 11 10 10 14 12Poor N 13 10 8 12 14Traction Power SystemsExcellent N 25 21 37 8 9Good N 44 55 45 47 46Adequate N 10 11 11 45 44Substandard N 14 7 3 1 1Poor N 7 7 4 0 1Revenue Collection SystemsExcellent N 27 30 34 26 26Good N 33 31 56 54 53Adequate N 18 18 2 10 10Substandard N 10 18 7 8 7Poor N 12 4 1 3 4Elevated structuresExcellent 1 0 2 5 3 3Good 56 59 59 83 77 79Adequate 16 12 16 3 4 1Substandard 20 29 22 7 14 17Poor 7 1 2 2 2 1Underground tunnelsExcellent 9 7 12 40 26 22Good 59 47 46 34 48 54Adequate 13 18 19 12 12 4Substandard 11 19 11 9 6 14Poor 7 9 12 6 7 5KEY N = data do not exist

NOTEPercents may not add to 100 due to rounding

SOURCEUS Department of Transportation Federal Transit Administration Transit Economic Requirements Model as of Feb 12 2008

Table 1-29 Class I Railroad Locomotive Fleet by Year Built (Locomotive units)Year builta 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Before 1970 5117 4353 4038 3766 3535 b b b b b f f f f f j j1970-74 3852 3617 3384 3248 3184 c 6048 c 5783 c 5529 c 5565 c 5196 f f f f f j j1975-79 4432 4375 4292 4352 4275 4254 4274 4219 4116 4000 g 8541 g 7862 g 7133 g 6889 g 7056 j j1980-84 2837 2826 2784 2730 2625 2754 2735 2728 2723 2581 2411 2153 1790 1655 1585 k 8705 k82371985-89 1989 1985 1970 1968 1971 1890 1866 1829 1830 1779 1775 1672 1807 1791 1799 1786 17351990 608 605 604 604 599 d 2965 d 2959 d 2958 d 2736 d 2688 d 2648 d 2667 d 2702 d 2700 d 2715 d 2783 d27401991 583 595 595 594 e e e e e e e e e e e e1992 337 340 339 e e e e e e e e e e e e1993 558 602 e e e e e e e e e e e e1994 781 e e e e e e e e e e e e1995 901 945 983 953 951 973 h 4020 h 4582 h 4673 h 4672 h 4348 h45351996 707 696 708 706 697 i i i i i i1997 742 741 743 745 i i i i i i1998 889 890 890 i i i i i i1999 722 713 i i i i i i2000 635 691 987 863 863 l 4350 l46732001 680 810 891 891 m m2002 695 725 722 m m2003 587 591 m m2004 1121 m m2005 807 8812006 931a Disregards year of rebuildingb Included in 1970-74 categoryc Includes all locomotives built before 1975d Includes locomotives built between 1990-94e Included in 1990 categoryf Included in 1975-79 categoryg Includes all locomotives built before 1980h Includes locomotives built between 1995-99i Included in 1995 categoryj Included in 1980-84 categoryk Includes all locomotives built before 1985l Includes locomotives built between 2000-04m Included in 2000 category

SOURCEAssociation of American Railroads Railroad Facts 2007 (Washington DC 2007) p 50 and similar pages in earlier editions

1972 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007LocomotivesPercent available for servicea N 87 83 93 84 86 83 84 85 88 88 88 88 90 89 U U U U U U UAverage age (years)b 223 144 74 7 12 13 13 132 134 139 144 120 126 128 112 139 137 148 157 164 175 185Passenger and other train carsPercent available for servicea N 82 77 90 90 92 90 89 88 90 90 91 93 91 91 U U U U U U UAverage age (years)b 220 247 143 142 200 210 215 226 224 218 207 198 211 222 194 185 204 214 224 233 225 222

Table 1-30 Age and Availability of Amtrak Locomotive and Car Fleets

2001-07 Amtrak Personal Communication as of August 2008

Roadrailers are not considered train cars for the purpose of our calculations

SOURCES1972-80 Amtrak Amtrak Annual Report (Washington DC Annual issues)1985-2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

NOTES1972 was Amtraks first full fiscal year of operation

KEY N = data do not exist U = data are not available

a Year-end daily average Active units less backshop units undergoing heavy maintenance less back-ordered units undergoing progressive maintenance and running repairsb Fiscal Year-end average Fiscal Year ends Sept 30th of stated year

Agea Dry cargo Tanker Towboat Passengerc

Offshore support

crewboatsd Dry barge

Tank liquid bargee Totalb

1990ndash91 totalb 900 257 5210 721 1168 27110 3874 39342lt6 80 6 132 151 85 2335 162 29516ndash10 161 38 706 120 318 4570 316 622911ndash15 212 50 1029 110 474 7639 829 1034316ndash20 141 35 844 80 144 6374 750 836821ndash25 82 38 750 65 84 2607 759 4385gt25 196 86 1718 188 51 3372 1049 66601992 totalb 497 249 5203 1201 1205 26981 3864 39313lt6 36 5 134 219 93 3224 296 40126ndash10 73 28 398 198 208 1783 121 282911ndash15 135 54 1137 203 567 9114 902 1215016ndash20 73 33 926 169 189 6696 740 885321ndash25 31 42 716 122 91 2475 677 4167gt25 124 82 1874 287 53 3496 1123 70491993 totalb 470 205 5219 1243 1197 26982 3970 39306lt6 25 3 135 207 103 3558 325 43566ndash10 67 22 205 221 107 1070 68 176411ndash15 135 43 1221 211 597 8810 869 1189416ndash20 70 33 968 164 218 6772 791 901921ndash25 41 31 674 129 106 2904 655 4543gt25 128 73 2008 311 64 3713 1256 75551994 totalb 778 202 5179 928 1236 26757 3966 39064lt6 46 4 146 157 107 3630 399 44896ndash10 103 12 151 185 61 1171 36 171911ndash15 200 36 1135 123 540 7903 754 1069116ndash20 130 44 966 122 309 6314 799 868421ndash25 90 32 664 82 130 3873 638 5509gt25 206 74 2107 259 86 3706 1327 77651995 totalb 726 178 5127 954 1288 27375 3985 39641lt6 38 5 168 149 119 3975 489 49436ndash10 90 8 134 195 58 1483 46 201411ndash15 168 34 959 133 463 6387 611 876016ndash20 135 38 988 121 412 6507 736 893921ndash25 80 29 726 91 141 4897 697 6661gt25 213 64 2146 263 92 3966 1403 81481996 totalb 713 161 5177 967 1274 28775 4036 41104lt6 43 7 205 153 123 5189 573 62936ndash10 74 8 118 188 61 2041 87 257711ndash15 141 29 715 142 351 4505 346 622916ndash20 155 36 1036 119 460 7234 840 988121ndash25 79 23 842 87 155 5416 723 7325gt25 229 62 2386 290 144 4766 1576 94531997 totalb 692 147 5173 1025 1369 29040 3971 41419lt6 52 8 227 150 122 5515 519 65936ndash10 66 2 118 187 94 2582 181 323011ndash15 96 27 396 152 223 1800 137 283116ndash20 183 36 1173 131 588 8943 928 1198221ndash25 84 21 918 102 177 5772 727 7801gt25 209 53 2332 302 159 4284 1477 88161998 totalb 714 135 5237 1011 1423 29557 3952 42032lt6 56 12 247 150 163 5877 485 69916ndash10 55 3 124 168 105 3117 267 383911ndash15 105 19 196 166 111 1113 72 178216ndash20 179 31 1198 129 634 8591 865 1162621ndash25 88 22 979 106 211 5909 763 8076gt25 230 48 2487 292 195 4817 1499 95731999 totalb 695 142 5098 970 1470 29414 3973 41766lt6 60 12 302 144 245 6640 565 79686ndash10 49 3 140 146 114 3192 298 394311ndash15 97 12 146 183 61 1231 39 176916ndash20 146 35 1101 120 571 7414 742 1012921ndash25 99 30 953 95 283 5302 760 7522gt25 243 50 2447 282 191 5491 1560 102672000 totalb 737 135 4995 918 1414 29141 4011 41354lt6 66 11 325 134 246 6721 582 8085

TABLE 1ndash31 US Flag Vessels by Type and Age (Number of vessels)Vessel type

Agea Dry cargo Tanker Towboat Passengerc

Offshore support

crewboatsd Dry barge

Tank liquid bargee Totalb

Vessel type

6ndash10 50 4 143 118 106 3051 329 380211ndash15 113 8 142 178 58 1565 48 211216ndash20 136 34 929 124 454 5846 602 812521ndash25 105 30 954 90 332 5365 712 7588gt25 263 48 2497 271 214 6461 1714 114702001 totalb 966 120 5150 733 1573 28920 4122 41588lt6 114 12 369 84 305 6830 623 83376ndash10 76 3 167 81 111 2815 388 364111ndash15 132 5 125 138 68 2043 85 259616ndash20 139 32 692 110 372 4241 329 591621ndash25 154 28 972 77 452 6126 805 8614gt25 347 40 2818 240 262 6712 1884 123062002 totalb 989 108 5180 750 1591 28313 4068 41002lt6 113 13 369 70 322 6117 595 75996ndash10 86 3 185 92 96 3416 419 429811ndash15 130 2 142 136 89 2499 172 317016ndash20 114 22 381 117 228 1669 134 266521ndash25 175 35 1091 75 547 7702 843 10468gt25 368 33 3004 256 305 6731 1904 126032003 totalb 969 104 5172 789 1609 27304 4031 39983lt6 114 9 362 69 314 4909 604 63816ndash10 93 7 217 89 126 4155 396 508511ndash15 110 3 148 122 93 2976 260 371216ndash20 127 15 198 133 111 1054 71 170921ndash25 168 32 1135 84 584 7135 774 9912gt25 354 38 3105 287 378 6884 1923 129722004 totalb 987 103 5314 834 1746 27227 4069 40290lt6 126 11 367 72 279 4556 676 60876ndash10 112 10 272 97 198 4840 453 598311ndash15 95 3 166 119 109 3057 296 384616ndash20 132 8 157 144 64 1169 35 170921ndash25 130 31 1083 92 580 6240 639 8795gt25 390 40 3262 308 512 7152 1970 136422005 totalb 969 100 5290 841 1768 27901 4151 41028lt6 115 11 336 62 244 4140 743 56516ndash10 106 13 321 96 262 5611 512 692111ndash15 74 4 157 114 107 3120 333 391116ndash20 137 3 155 150 59 1507 43 205421ndash25 116 30 907 98 464 5174 535 7324gt25 419 39 3406 321 629 8113 1985 149182006 totalb 946 90 5285 828 1721 27961 4250 41109lt6 123 14 362 53 237 3955 833 55776ndash10 103 10 336 88 277 6006 496 731611ndash15 75 2 172 101 103 2913 386 375216ndash20 127 3 132 148 55 1949 84 249821ndash25 96 21 690 110 359 3629 293 5198gt25 421 40 3581 328 685 9204 2155 16414

NOTE

SOURCE

b Totals may be greater than sum of columns because of unclassified vessels and vessels of unknown age figures include vessels available for operation

US Army Corps of Engineers Waterborne Transportation Lines of the United States Volume 1 National Summaries (New Orleans LA Annual issues) table 4 available at httpwwwiwrusacearmymil as of September 2008

e In 1992 tank barges were designated as liquid barges

a Age is based on the year the vessel was built or rebuilt

c Includes passenger excursionsightseeing combination passenger and dry-cargo vessels and ferriesd In 1992 offshore supply boats were designated as crewboats

Figures include vessels available for operation

Section DTravel and Goods

Movement

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air

Air carrier large certificated domestic all services 858 1134 2068 1948 2523 3046 3963 3854 3995 4157 4380 4629 4811 4911 5035 5332 5664 5548 5616 6085 6552 6714 6619General aviationa 1769 2562 3207 4238 5204 4673 4548 4400 3465 3253 3358 3795 3524 3877 N N N N N N N N N

Highwayb total 718762 887812 1109724 1327664 1527295 1774826 2144362 2172050 2247151 2296378 2357588 2422696 2485848 2561695 2631522 2691056 2746925 2797287 2855508 2890450 2964788 (R) 2989430 3014116Passenger carbc 587012 722696 916700 1033950 1111596 1246798 1408266 1358185 1371569 1374709 1406089 1438294 1469854 1502556 1549577 1569100 1600287 1628332 1658474 1672079 1699890 (R) 1708421 1682671Motorcyclec h h 2979 5629 10214 9086 9557 9178 9557 9906 10240 9797 9920 10081 10283 10584 10469 9639 9552 9577 10122 (R) 10454 12401Other 2-axle 4-tire vehicleb h h 123286 200700 290935 390961 574571 649394 706863 745750 764634 790029 816540 850739 868275 901022 923059 943207 966034 984094 1027164 (R) 1041051 1089013Truck single-unit 2-axle 6-tire or more 98551 128769 27081 34606 39813 45441 51901 52898 53874 56772 61284 62705 64072 66893 68021 70304 70500 72448 75866 77757 78441 (R) 78496 80331Truck combination 28854 31665 35134 46724 68678 78063 94341 96645 99510 103116 108932 115451 118899 124584 128359 132384 135020 136584 138737 140160 142370 (R) 144028 142706Bus 4346 4681 4544 6055 6059 4478 5726 5750 5778 6125 6409 6420 6563 6842 7007 7662 7590 7077 6845 6783 6801 (R) 6980 6994

Transitd total 2143 2008 1883 2176 2287 2791 3242 3306 3355 3435 3467 3551 3651 (R) 3747 (R) 3794 (R) 3973 (R) 4082 4196 (R) 4281 (R) 4367 (R) 4462 (R) 4611 4684Motor buse 1576 1528 1409 1526 1677 1863 2130 2167 2178 2210 2162 2184 2221 2245 2175 2276 2315 2377 2411 2421 2471 2495 2495Light rail 75 42 34 24 18 17 24 28 29 28 34 35 38 41 44 49 53 54 61 64 67 69 74Heavy rail 391 395 407 423 385 451 537 527 525 522 532 537 543 558 566 578 595 608 621 630 630 646 652Trolley bus 101 43 33 15 13 16 14 14 14 13 14 14 14 14 14 14 15 13 14 14 13 13 12Commuter rail N N N 173 179 183 213 215 219 224 231 238 242 251 260 266 271 277 284 286 295 303 315Demand responsivee N N N N N 247 306 335 364 406 464 507 548 585 671 718 759 789 803 864 890 978 1013Ferry boat N N N N i i 2 2 2 3 2 3 2 3 3 3 3 3 3 4 4 4 4Other N N N 15 15 15 16 19 24 30 29 34 43 50 63 69 71 75 84 85 92 (R) 103 119

RailClass I freight train-miles 404 421 427 403 428 347 380 375 390 405 441 458 469 475 475 490 504 500 500 516 535 548 563Class I freight car-miles 28170 29336 29890 27656 29277 24920 26159 25628 26128 26883 28485 30383 31715 31660 32657 33851 34590 34243 34680 35555 37071 37712 38955IntercityAmtrak f train-miles 209 172 93 30 30 30 33 34 34 35 34 32 30 32 33 34 35 36 38 37 37 36 36IntercityAmtrak f car-miles 2208 1775 690 253 235 251 301 313 307 303 304 292 276 288 312 342 368 378 379 332 308 265 264Total train-milesg 613 593 520 433 458 377 413 409 424 440 475 490 499 507 508 524 539 536 537 553 572 584 599

IntercityAmtrak car-miles

Table 1-32 US Vehicle-Miles (Millions)

IntercityAmtrak train-miles1960-70 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 391975-2001 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77

1960-2006 American Public Transit Association Public Transportation Fact Book (Washington DC Annual issues) table 10 54 and similar tables in earlier editionsRailClass I rail freight train- and car-miles

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtm

1960-2006 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 33 (train-miles) and p 34 (car-miles)

Single-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmTransit

1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmOther 2-axle 4-tire vehicle1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table V201A

Passenger car and motorcycle1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table V201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtm

Motorcycle

1980 US National Transportation Safety Board estimate personal communication Dec 7 19981985-92 Ibid General Aviation Activity and Avionics Survey (Washington DC Annual issues) table 331993-97 Ibid General Aviation and Air Taxi Activity and Avionics Survey (Washington DC Annual issues) table 33 Highway

i Ferry boat included with other

SOURCES

General aviation1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1972 (Washington DC 1973) table 910

KEY N = data do not exist U = data are not available

a All operations other than those operating under 14 CFR 121 and 14 CFR 135 Data for 1996 are estimated using new information on nonrespondents and are not comparable to earlier years Mileage in source is multiplied by 1151 to convert to nautical-miles for 1985-1997b In July 1997 the FHWA published revised vehicle-miles data for the highway modes for many years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category This category was calculated prior to roundingc US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary d Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-milese Motor bus and demand responsive figures are also included in the bus figure for highwayf Amtrak began operations in 1971g Although both train-miles and car-miles are shown for rail only train-miles are included in the total A train-mile is the movement of a train which can consist of multiple vehicles (cars) the distance of 1 mile This differs from a vehicle-mile which is the movement of 1 vehicle the distance of 1 mile A 10-vehicle train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles with vehicle milesh 1960ndash65 motorcycle data are included in passenger car and other 2-axle 4-tire vehicle data included in single-unit 2-axle 6-tire or more truck

NOTENumbers may not add to totals due to rounding

AirAir carrier1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) p 3 line 25 plus line 46

1970-75 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1976 (Washington DC 1976) table 8-5

1960-75 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 401980-2000 Amtrak Amtrak Corporate Reporting Route Profitability System personal communication 20012001-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Urban VMT total (millions) 855265 1044098 1275484 1288497 1363054 1409672 1449247 1489534 1523886 1552956 1595620 1627618 1663773 1676379 1727596 1805508 1892265 1951870 1977047

Interstate 161242 216188 278901 285325 303265 317399 330577 341528 351579 361433 374622 383259 393465 399890 408618 432633 454385 469070 477283Other arterialsa 484189 578270 699233 707518 745618 773978 797899 815170 834623 846627 862996 878153 900392 913726 937357 973936 1020089 1048219 1060098Collector 83043 89578 106297 107281 116065 117887 120088 126929 129310 130146 131905 131603 135372 137922 141874 153751 162108 168038 173210Local 126791 160062 191053 188373 198106 200408 200683 205907 208374 214750 226097 234603 234544 224841 239747 245188 255683 266543 266456

Rural VMT total (millions) 672030 730728 868878 883553 884097 886706 908341 933289 960194 999277 1032528 1062623 1083152 1105083 1128160 1085385 1070248 1037937 1037069Interstate 135084 154357 200173 205011 205557 208308 215568 223382 232565 240255 251520 260166 268180 274024 279962 269945 266996 258790 257913Other arterialsa 262774 282803 330866 334755 344062 349567 357329 368595 378847 392057 403484 413320 420599 426945 433805 416596 409944 398932 394499Collectorb 189468 206669 240460 245630 234910 226296 230529 236148 241030 254100 257868 264453 267231 270962 275007 263662 260931 251587 251375Local 84704 86899 97379 98157 99568 102535 104915 105164 107752 112865 119656 124684 127142 133152 139386 135182 132377 128628 133282

Urban VMT per lane-mile total (thousands) 613 677 764 766 775 782 794 810 820 825 844 858 869 852 861 856 860 862 856

Interstate 3327 3773 4483 4542 4508 4588 4667 4784 4897 5002 5131 5229 5323 5370 5440 5436 5479 5455 5427Other arterialsa 1451 1556 1751 1758 1783 1778 1803 1829 1857 1866 1901 1950 1974 1997 2025 2012 2019 2001 1989Collector 572 552 634 649 659 656 655 686 692 689 703 706 718 728 743 741 745 745 768Local 146 168 184 179 181 179 178 181 181 184 192 198 196 181 188 183 184 187 183

Rural VMT per lane-mile total (thousands) 103 113 136 138 139 140 144 148 152 157 165 169 172 176 179 175 174 170 170

Interstate 1031 1170 1473 1502 1540 1576 1642 1693 1749 1804 1888 1939 1993 2035 2080 2070 2088 2061 2074Other arterialsa 518 555 640 646 653 665 674 695 711 730 750 766 778 787 797 780 771 753 744Collectorb 132 141 164 167 163 158 161 167 170 179 182 187 189 192 195 190 189 183 184Local 19 20 23 23 23 24 25 25 25 26 29 30 30 32 33 33 32 32 33

NOTE

SOURCES

Lane-miles1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management unpublished data 1997 table HM-260

1996-2007 US Department of Transportation Federal Highway Administration Highway Statistics 2007 table HM-60 available at wwwfhwadotgovpolicyohpi as of Mar 18 2009

See table 1-6 for estimated highway lane-miles by functional class

1995-2007 US Department of Transportation Federal Highway Administration Highway St atistics 2007 table VM-2 available at wwwfhwadotgovpolicyohpi as of Mar 18 2009

1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-202 available at wwwfhwadotgovpolicyohpi as of Mar 18 2009

b Collector is the sum of major and minor collectors (rural only)

a For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterials

TABLE 1-33 Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 2005 2006 (P) 2007AIRCRAFT DEPARTURESTotal performed a 4555516 5156848 5505659 6641681 6545000 6606609 7193841 7513232 8030530 8204674 8095888 8248269 8605486 8929559 8548932 8052756 8585736 9444234 9859941 9512017 9628397Total scheduled 4530535 5204564 5591596 6758571 7024412 6703670 7058097 7359093 7920467 8064653 7907554 8094020 8432940 8688776 8340180 7981190 8479414 9193220 9722715 9429017 9740221Large hubsPerformed 2437958 2887239 3439446 4167868 4114950 4078211 4480575 4756589 5162534 5257541 5266560 5416158 5645179 5851801 5177758 4918940 5336246 5591234 5842793 5660186 5688872Scheduled 2409874 2905923 3487660 4237466 4312032 4144325 4443937 4713178 5147875 5243646 5219161 5405728 5570419 5720435 5092030 4867648 5326856 5486529 5806009 5654357 5818488Medium hubsPerformed 902652 1048726 1185008 1394833 1256306 1301977 1310322 1471377 1439639 1425280 1430537 1429730 1499243 1574986 1893805 1791778 1703127 2046105 2184522 2076849 2138079Scheduled 899543 1058438 1201540 1417762 1352515 1312257 1268316 1398144 1387833 1356162 1352944 1345197 1404482 1507991 1812161 1784913 1671068 2007421 2153826 2062423 2148553Small hubsPerformed 640589 598559 514176 669450 689518 771529 841685 710569 738231 754914 695841 714920 746625 779518 864722 788758 884306 1088691 1091838 1095346 1112365Scheduled 644133 608738 524048 679103 858429 783305 794279 685421 711947 722170 660685 674812 770092 759208 856112 809246 855679 1025145 1064124 1078363 1125286NonhubsPerformed 574317 622324 367029 409530 484226 454892 561259 574697 690126 766939 702950 687461 714439 723254 612647 553280 662057 718204 740788 679636 689081Scheduled 576985 631465 378348 424240 501436 463783 551565 562350 672812 742675 674764 668283 687947 701142 579877 519383 625811 674125 698756 633874 647894ENPLANED REVENUE PASSENGERS b 196782144 281408852 363341497 438544001 428319248 447625988 468313029 508458194 526055483 558183741 568615687 588335318 610628716 639753899 595364778 575058533 593132200 652413250 690135672 690765508 712627335Large hubs 133975900 197679376 264507144 317595099 313375097 319582090 340048661 372731005 392601890 417339694 426246423 442402443 458665099 479570342 413634333 401696877 424621015 447500697 473367070 475207801 488298537Medium hubs 36539613 51664627 65770376 80466373 72985169 80800955 79032913 88601244 85929285 89018764 90779705 91755793 96394866 102082360 124587728 119733580 109492740 135364314 143749228 142139330 147067665Small hubs 19406607 23393324 24240726 30771383 31224974 36879632 37334956 34443996 33561098 37122974 36298979 37675305 38644557 40121294 42833911 40053861 43545830 51812381 53291924 55008304 57500743Nonhubs 6860024 8671525 8823251 9711146 10734008 10363311 11896499 12681949 13963210 14702309 15290580 16501777 16924194 17979903 14308806 13574215 15472615 17735858 19727450 18410073 19760390ENPLANED REVENUE TONS c 3661061 5088313 4024470 6298824 6417504 6736309 8203090 8718082 9365017 10333298 13520228 14083769 14911847 15105527 17514685 13525489 13911441 14616794 14445548 14262852 14099708Freight total 2764763 3562187 2601027 4732726 4854513 5053678 6383887 6802375 7204479 8047795 11163448 11784514 12067717 12770655 15805842 12674172 13069642 13870934 13795084 13673646 13586049Large hubs 2265665 3008311 2047988 3001217 2960604 3067778 3678851 4025517 4402327 4653189 5691363 6208629 5993061 6728534 6338289 4999651 5524253 5424975 5184194 5019609 4969475Medium hubs 358044 414325 469057 1446744 1507017 1633136 1857865 2022282 1950318 2169411 3855449 3897242 4382712 4445684 6871585 5750187 5264084 5042642 6239905 5239725 5235404Small hubs 99133 73795 48127 191358 222247 267619 516199 432680 541062 755232 963093 1019615 1053050 936896 1405627 1056987 1015860 2052242 981639 2010442 2037655Nonhubs 41922 65756 35855 93407 164645 85145 330973 321896 310772 469962 653542 659028 638894 659541 1190341 867347 1265445 1351075 1389346 1403870 1343515Mail total 896298 1526125 1423443 1566098 1562991 1682632 1819203 1915706 2160538 2285503 2356781 2299255 2844130 2334872 1708843 851317 841799 745860 650464 589206 513659Large hubs 677179 1091059 1082567 1146589 1095019 1201545 1320176 1406910 1546568 1630445 1699154 1662643 2183127 1674892 1127090 642709 663406 572837 492408 429955 369073Medium hubs 151498 255929 268179 292899 321041 321051 324441 344200 442814 466583 473577 482710 502096 508356 407330 162549 141315 143888 136635 124151 93925Small hubs 48486 148116 59917 108656 126070 144918 152692 136111 136008 157137 138818 127748 126793 109283 103227 34293 27464 25202 16901 18512 25732Nonhubs 19134 31021 12781 17954 20861 15117 21894 28485 35149 31338 45232 26154 32114 42341 71196 11766 9614 3933 4520 16588 24929

a Total performed includes scheduled departures performed minus those scheduled departures that did not occur plus unscheduled service

Table 1-34 US Air Carrier Aircraft Departures Enplaned Revenue Passengers and Enplaned Revenue Tons

KEY P = preliminary R = revised

2000-07 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Airport Activity Statistics Database (Form 41 Schedule T-3) special tabulation

SOURCE

Large certificated air carriers operate aircraft with seating capacity of more than 60 seats or a maximum payload capacity of more than 18000 pounds and hold Certificates of Public Convenience and Necessity issued by the US Department of Transportation authorizing the performance of air transportation Data for commuter intrastate air taxi small-certificated and foreign-flag air carriers are not included

Prior to 2000 air traffic hubs are designated as geographical areas based on the percentage of total passengers enplaned in the area Under this designation a hub may have more than one airport in it (This definition of hub should not be confused with the definition used by the airlines in describing their hub-and-spoke route structures) Individual communities fall into four hub classifications as determined by each communitys percentage of total enplaned revenue passengers in all services and all operations of US certificated route carriers within the 50 states the District of Columbia and other US areas For 2000 and later hub designation is based on passenger boardings at individual airports as designated by the FAA Classifications are based on the percentage of total enplaned revenue passengers for each year according to the following one percent or more = large 025 to 09999 percent = medium 005 to 0249 percent = small less than 005 = nonhubThe 2007 data uses 2006 hub size classifications as the 2007 FAA hub classifications were not available at the time of publication

1975-99 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Airport Activity Statistics of Certified Route Air Carriers (Washington DC Annual issues) tables 2 3 4 and 5

b The number of persons receiving air transportation from an air carrier for which remuneration is received by the carrier excluding persons receiving reduced rate charges such as air carrier employees infants and others (except ministers of religion elderly individuals and handicapped individuals)c The number of short tons tranported on a flight by an air carrier

Data are for all scheduled and nonscheduled service by large certificated US air carriers at all airports served within the 50 states the District of Columbia and other US areas designated by the Federal Aviation Administration Not all scheduled service is actually performed Moreover for several years total performed departures exceed total scheduled departures because nonscheduled departures are included in the totals Prior to 1993 all scheduled and some nonscheduled enplanements for certificated air carriers were included no enplanements were included for air carriers offering charter service only Prior to 1990 freight includes both freight and express shipments and mail includes priority and nonpriority US mail and foreign mail beginning in 1990 only aggregate numbers are reported

NOTES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005FreightAir carrier 953 943 1014 1082 1052 1157 1389 1346 1391 1347 1221 1160 1181 1077 1078 1001 982 973 U U U UTrucka 272 259 263 286 363 366 391 398 410 407 392 416 426 435 442 458 473 485 U U U UClass I rail 461 503 515 541 616 665 726 751 763 794 817 843 842 851 835 835 843 859 853 862 902 UCoastwise (water) 1496 1501 1509 1362 1915 1972 1604 1705 1762 1650 1652 1652 1526 1330 1261 1279 1251 1228 1219 1248 1269 ULakewise (water) 522 494 506 530 536 524 553 535 519 514 508 514 508 507 505 501 506 509 529 530 538 UInternal (water) 282 297 330 358 405 435 468 483 479 468 482 494 477 466 472 488 481 476 483 457 454 UIntraport (water) U U U 16 17 15 13 13 12 12 16 16 17 15 15 15 16 15 15 15 16 UCrude (oil pipeline) 325 320 300 633 871 777 812 822 830 790 778 797 779 781 767 766 U U U U U UPetroleum products (oil pipeline) 269 335 357 516 414 391 387 379 379 406 414 402 413 413 420 418 U U U U U UPassengerAir carrier domestic scheduled 583 614 678 698 736 758 803 806 806 799 787 791 802 817 812 824 833 842 850 (R) 858 857 874Bus intercity 79 94 106 113 125 121 141 143 136 138 138 140 143 144 144 143 143 U U U U UCommuter rail 21 21 22 23 23 24 22 23 23 22 21 24 24 23 23 23 23 23 23 23 23 UAmtrakb

N N N 236 216 231 273 285 286 280 279 268 256 256 251 248 244 237 234 231 219 U

1970-85 Amtrak corporate communication Jan 26 19991990-2002 Amtrak Amtrak Annual Report (Washington DC 2003) Statistical Appendix2003-04 Association of American Railroads Railroad Facts 2005 (Washington DC 2004) p 77 and similar pages in earlier editions

US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues)

Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 64

1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 642001-04 US Department of Transportation Federal Transit Administration National Transit Database (Washington DC Annual issues) table 19 and similar tables in earlier editions

Commuter Rail

NOTES

SOURCESFreight

Class I rail

Amtrak

Intercity bus

Water

Oil pipeline

Passenger

US Army Corps of Engineers Waterborne Commerce of the United States Part 5 (New Orleans LA Annual issues) section 1 table 1-4

1960-70 Transportation Policy Associates Washington DC personal communication

Table 1-35 Average Length of Haul Domestic Freight and Passenger Modes (Miles)

1975-99 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 65

Air carrier truck

Air carrier

Eno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) p 65

Association of American Railroads Railroad Facts 2005 (Washington DC 2005) p 36

KEY N = data do not exist R = revised U = data are not available

a Total Class I and Class II motor carriers of freight (less-than-truckload specialized carrier for truckload and others)b Amtrak began operations in 1971 Data are reported for fiscal years

Average length of haul for freight is calculated by dividing ton-miles in table 1-46 by estimates of tonnage from the various data sources The calculation of average length of haul for passenger trips varies by mode for air carrier it is calculated by dividing revenue passenger-miles by revenue passenger enplanements for commuter rail intercity bus and Amtrak it is calculated by dividing passenger-miles by number of passengers

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008TOTAL

1990-2008TOTAL space launches 15 12 14 11 15 23 24 38 41 39 35 16 24 17 15 18 21 23 28 429United States total 9 6 6 5 5 12 11 17 22 15 7 3 5 5 6 1 2 3 6 146

Athena 0 0 0 0 0 1 0 1 1 3 0 0 0 0 0 0 0 0 0 6Atlas 1 2 3 3 4 8 7 6 5 4 3 1 3 4 5 1 1 0 1 62Conestoga 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1Delta 5 4 3 1 1 1 3 7 11 5 2 1 2 0 0 0 1 3 2 52Falcon 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2Pegasus 0 0 0 1 0 1 1 3 4 2 2 0 0 1 0 0 0 0 1 16Taurus 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 4Titan 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3

Europe total 5 6 6 6 8 8 9 11 9 8 12 8 10 4 1 5 5 6 5 132Ariane 4 5 6 6 6 8 8 9 11 9 8 8 6 7 1 0 0 0 0 0 98Ariane 5 0 0 0 0 0 0 0 0 0 0 4 2 3 3 1 5 5 6 5 34

Russia total 0 0 0 0 0 0 2 7 5 13 13 3 8 5 5 8 9 12 11 101Cosmos 0 0 0 0 0 0 0 0 0 1 2 0 0 1 0 1 0 0 3 8Dnepr 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 1 3 2 10Kosmos 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 3Proton 0 0 0 0 0 0 2 6 4 5 6 2 5 1 4 4 4 4 6 53Rockot 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 1 1 0 0 5Shtil 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1Soyuz 0 0 0 0 0 0 0 0 0 6 3 0 0 2 0 1 0 0 0 12Soyuz 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 0 4Start 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 0 4Volna 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1

Ukraine total 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1Zenit 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1

China total 1 0 2 0 2 3 2 3 4 1 0 0 0 0 0 0 0 0 0 18Long March 2C 0 0 0 0 0 0 0 1 4 1 0 0 0 0 0 0 0 0 0 6Long March 2E 0 0 2 0 1 3 0 0 0 0 0 0 0 0 0 0 0 0 0 6Long March 3 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 3Long March 3B 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 3

IndiaTotal 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1PSLV 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1

Sea Launcha total 0 0 0 0 0 0 0 0 0 2 3 2 1 3 3 4 5 1 6 30Zenit 3SL 0 0 0 0 0 0 0 0 0 2 3 2 1 3 3 4 5 1 6 30

NOTES

SOURCES

2000-08 U6 Department of Transportation Federal Aviation Administration Commercial Space Transportation 2008 Year in Review (Washington DC January 2009) tables1 3 and 4 available at httpastfaagov as of Mar 19 2009

Table 1-36 Worldwide Commercial Space Launches

a Sea Launch is an international venture involving organizations in four countries and uses its own launch facility outside national borders Their first commercial launch in 1999 was licensed by the Federal Aviation Administration

A commercial launch is a launch that is internationally competed (ie available in principle to international launch providers) or whose primary payload is commercial in nature FAA-licensed launches carrying captive government (NASA and DOD) or industry payloads (ORBCOMM Delta 3 demosat Zenit 3SL demosat and others) are counted here Data are for orbital launches only

1990ndash99 US Department of Transportation Federal Aviation Administration Associate Administrator for Commercial Space Transportation personal communication June 4 2002

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air total 33399 57626 117542 147400 219068 290136 358873 350185 365564 372130 398199 414688 446652 463112 476362 502457 531329 502406 482310 505158 557893 583689 590633

Air carrier certificated domestic all services 31099 53226 108442 136000 204368 277836 345873 338085 354764 362230 388399 403888 434652 450612 463262 488357 516129 486506 482310 505158 557893 583689 590633General aviationa 2300 4400 9100 11400 14700 12300 13000 12100 10800 9900 9800 10800 12000 12500 13100 14100 15200 15900 U U U U U

Highway totalb 1272078 1555237 2042002 2404954 2653510 3012953 3561209 3600322 3697719 3768066 3837512 3868070 3968386 4089366 4200635 4304270 4390076 4643794 4667038 4721869 4844452 (R) 4887945 4933689Passenger carbc 1144673 1394803 1750897 1954166 2011989 2094621 2281391 2200260 2208226 2213281 2249742 2286887 2337068 2389065 2463828 2494870 2544457 2556481 2620389 2641885 2685827 (R) 2699305 2658621Motorcyclebc g g 3277 6192 12257 11812 12424 11656 11946 12184 12390 10777 10912 11089 11311 11642 11516 11760 12131 12163 12855 (R) 13277 15750Other 2-axle 4-tire vehicle c h h 225613 363267 520774 688091 999754 1116958 1201667 1252860 1269292 1256146 1298299 1352675 1380557 1432625 1467664 1678853 1674792 1706103 1780771 (R) 1804848 1887997Truck single-unit 2-axle 6-tire or more 98551 128769 27081 34606 39813 45441 51901 52898 53874 56772 61284 62705 64072 66893 68021 70304 70500 85489 75866 77757 78441 (R) 78496 80331Truck combination 28854 31665 35134 46724 68678 78063 94341 96645 99510 103116 108932 115451 118899 124584 128359 132384 135020 161169 138737 140160 142370 (R) 144028 142706Busd N N N N N 94925 121398 121906 122496 129852 135871 136104 139136 145060 148558 162445 160919 150042 145124 143801 144188 (R) 147992 148285

Transit totale N N N N 39854 39581 41143 40703 40241 39384 39585 39808 41378 42339 44128 45857 47666 49070 48324 47903 49073 49680 (P) 52154Motor busd N N N N 21790 21161 20981 21090 20336 20247 18832 18818 19096 19604 20360 21205 21241 22022 21841 21262 21377 21825 (P) 22821Light rail N N N N 381 350 571 662 701 705 833 860 957 1035 1128 1206 1356 1437 1432 1476 1576 1700 (P) 1866Heavy rail N N N N 10558 10427 11475 10528 10737 10231 10668 10559 11530 12056 12284 12902 13844 14178 13663 13606 14354 14418 (P) 14721Trolley bus N N N N 219 306 193 195 199 188 187 187 184 189 182 186 192 187 188 176 173 173 (P) 164Commuter rail 4197 4128 4592 4513 6516 6534 7082 7344 7320 6940 7996 8244 8351 8038 8704 8766 9402 9548 9504 9559 9719 9473 (P) 10361Demand responsived N N N N N 364 431 454 495 562 577 607 656 754 735 813 839 855 853 930 962 1058 (P) 1078Ferry boat N N N N i i 286 282 271 260 260 260 265 294 294 310 330 325 333 394 393 394 (P) 400Other N N N N 390 439 124 148 182 251 232 273 339 369 441 469 462 518 510 500 519 639 (P) 743

RailIntercity Amtrakf 17064 13260 6179 3931 4503 4825 6057 6273 6091 6199 5921 5545 5050 5166 5304 5330 5498 5559 5468 5680 5511 5381 5410

1996-99 American Public Transit Association personal communication Aug 13 2001

1990-2002 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003-06 American Association of Railroads Railroad Facts 2006 (Washington DC 2007) p 77

1960-2006 American Public Transportation Association Public Transportation Fact Book (Washington DC Annual issues) table 6 and similar tables in earlier editionsRail Intercity Amtrak1960-80 Association of American Railroads Railroad Facts (Washington DC Annual issues)1985 Amtrak Amtrak FY95 Annual Report Statistical Appendix (Washington DC 1996) p 4

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmTransitFerryboat1992 American Public Transit Association personal communication July 19 2000

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmSingle-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A

Motorcycle1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmOther 2-axle 4-tire vehicle

HighwayPassenger car and motorcycle1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtm

1985-2005 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) page 3 line1General aviation1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 45-46

Air carrier passenger-miles are computed by summing the products of the aircraft-miles flown on each interairport segment multiplied by the number of passengers carried on that segment Highway passenger-miles from 1960 to 1994 are calculated by multiplying vehicle-miles of travel as cited by FHWA by the average number of occupants for each vehicle type Average vehicle occupancy rates are based on various sources such as the National Household Travel Survey conducted by the Federal Highway Administration and the Vehicle Inventory and Use Survey conducted by the Bureau of the Census Transit passenger-miles are the cumulative sum of the distances ridden by each passenger Rail passenger-miles represent the movement of 1 passenger for 1 mile

NOTES

Numbers may not add to totals due to rounding

Table 1-37 US Passenger-Miles (Millions)

SOURCESAirAir carrier domestic all services

KEY N = data do not exist U = data are not available P = preliminary R = revised

a All operations other than those operating under 14 CFR 121 and 14 CFR 135

b In July 1997 FHWA published revised passenger-miles data for the highway modes for a number of years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category Passenger-miles for passenger car motorcycle and other 2-axle 4-tire vehicles were derived by multiplying vehicle-miles for these vehicles by average vehicle occupancy rates provided by the Nationwide Personal Transportation Survey (1977 1983 and 1995) and the National Household Travel Survey (2001)

g Included in passenger carh Included in other single-unit 2-axle 6-tire or more truck

All other data

c US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary report provides updated data for passenger car and motorcycle combined Passenger car figures in this table were computed by US Department of Transportation Bureau of Transportation Statistics by subtracting the most current motorcycle figures from the aggregate passenger car and motorcycle figures d Motor bus and demand responsive figures are also included in the bus figure for highwaye Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-miles f Amtrak began operations in 1971 Does not include contract commuter passengers

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)

2000-06 Ibid 2005 Public Transportation Fact Book (Washington DC Annual issues) table 54 and similar tables in earlier editions

i Ferryboat included in other

Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number PercentAll workers 106630 1000 103741 1000 116469 1000 118041 1000 120191 1000 115342 1000 123250 1000 138266 1000 139260 1000Automobile total 93943 881 91301 880 101908 875 103467 877 105586 878 101664 881 109005 884 119898 867 120442 865

Drives self 81322 763 79449 766 90207 775 92363 782 93942 782 91607 794 97781 793 105046 760 105955 761Carpool total 12621 118 11852 114 11701 100 11104 94 11644 97 10057 87 11224 91 14852 107 14488 104

2-person 9708 91 9105 88 9294 80 8705 74 9036 75 7866 68 8669 70 11408 83 11139 803-person 1748 16 1684 16 1526 13 1454 12 1635 14 1351 12 1501 12 1992 14 1963 144+ person 1165 11 1063 10 881 08 945 08 973 08 840 07 1054 09 1451 10 1385 10

Public transportationa 4880 46 4740 46 5337 46 5779 49 5627 47 5081 44 5424 44 5933 43 6801 49Taxicab 152 01 117 01 139 01 144 01 133 01 128 01 131 01 178 01 179 01Bicycle or motorcycle 795 07 744 07 738 06 749 06 847 07 691 06 705 06 895 06 949 07Walks only 3634 34 3227 31 3869 33 3627 31 3408 28 3171 27 2875 23 3952 29 3954 28Other meansb 491 05 474 05 867 07 987 08 1049 09 1072 09 962 08 1999 14 1258 09Works at home 2736 26 3137 30 3611 31 3288 28 3401 28 3536 31 4148 34 5411 39 5677 41a Public transportation refers to bus streetcar subway or elevated trains

Table 1-38 Principal Means of Transportation to Work (Thousands)19931989 200720011997 2006200520031999

b Other means include ferryboats surface trains and van service and other means not classified

NOTES

Principal means of transportation refers to the mode used most often when different means of transportation were used on different days of the week or the mode used for the longest distance during the trip to work when more than one mode is used to get to work each day

2006-07 US Census Bureau 2007 American Community Surveyavailable at httpfactfindercensusgov as of Oct 14 2008

Numbers may not add to totals due to rounding

SOURCES

1989-2005US Department of Housing and Urban Development American Housing Survey for the United States 2005 (Washington DC 2006) table 2-24 and similar tables in earlier editions Available at httpwwwcensusgovhheswwwahshtml as of Oct 12 2006

Table 1-39 Long-Distance Travel in the United States by Selected Trip Characteristics 2001(Roundtrips to destinations at least 50 miles away)

Person trips (thousands) Person-miles (millions)

Personal-use vehicle trips (thousands)

Personal-use vehicle-miles (millions)

Number Percent Number Percent Number Percent Number Percent

TOTAL 2617126 1000 1360813 1000 2336094 1000 760325 1000

Principal means of transportation 2617126 1000 1360813 1000 2336094 1000 760325 1000

Personal-use vehicle 2336094 893 760325 559 2336094 1000 760325 1000

Airplane 193290 74 557609 410 NA NA NA NA

Commercial airplane 187063 71 551314 405 NA NA NA NA

Bus 55443 21 27081 20 NA NA NA NA

Intercity 22941 09 9945 07 NA NA NA NA

Charter or tour 32502 12 17136 13 NA NA NA NA

Train 21144 08 10546 08 NA NA NA NA

Ship boat or ferry 2040 01 4278 03 NA NA NA NA

Other 3728 01 840 01 NA NA NA NA

Not reported 5388 02 133 00 NA NA NA NA

Roundtrip distance 2617126 1000 1360813 1000 2336094 1000 760325 1000

Less than 200 miles 1249018 477 175171 129 1209312 518 170441 224

200ndash299 miles 456100 174 110937 82 439120 188 106748 140

300ndash499 miles 377177 144 144972 107 355501 152 136328 179

500ndash999 miles 269109 103 185695 136 231182 99 157405 207

1000-1999 miles 132548 51 189468 139 71481 31 97652 128

2000 miles or more 133174 51 554569 408 29498 13 91749 121

Mean (miles) 520 NA NA NA 325 NA NA NA

Median (miles) 209 NA NA NA 194 NA NA NA

Calendar quarter 2617126 1000 1360813 1000 2336094 1000 760325 1000

1st quarter 576111 220 291733 214 510906 219 162400 214

2nd quarter 684382 262 397302 292 602396 258 199958 263

3rd quarter 733488 280 374407 275 667600 286 220300 290

4th quarter 623146 238 297371 219 555192 238 177666 234

Main purpose of trip 2617126 1000 1360813 1000 2336094 1000 760325 1000

Commute 330369 126 67599 50 318336 136 57571 76

Business 399312 153 279337 205 316006 135 100665 132

Pleasure 1464914 560 827035 608 1322501 566 476681 627

Visit relatives or friends 663203 253 357095 262 609457 261 220583 290

Leisurea786532 301 456201 335 700467 300 250863 330

Rest or relaxation 73810 28 30431 22 68750 29 21602 28

Sightseeing 39764 15 20591 15 34721 15 12828 17

Outdoor recreation 125627 48 44203 32 116724 50 34802 46

Entertainment 176062 67 61561 45 154347 66 43581 57

Personal business 245679 94 108752 80 229706 98 76814 101

Other 176202 67 77342 57 149019 64 48437 64

Not reported 651 002 748 005 526 002 157 002

Nights away from home 2617126 1000 1360813 1000 2336094 1000 760325 1000

None 1472089 562 321353 236 1401406 600 279249 367

1ndash3 nights 821311 314 431155 317 728311 312 284967 375

4ndash7 nights 230335 88 326913 240 155194 66 124495 164

8 or more nights 93392 36 281390 207 51183 22 71613 94

Mean excluding none (nights) 35 NA NA NA 30 NA NA NA

Type of lodging at destination 2617126 1000 1360813 1000 2336094 1000 760325 1000

Friends or relatives home 480887 184 370166 272 416652 178 204705 269

Hotel motel or resort 369065 141 469505 345 252951 108 149185 196

Rented cabin condo or vacation home 48041 18 41529 31 42016 18 25037 33

Owned cabin condo or vacation home 67816 26 36725 27 63248 27 23988 32

Camper trailer recreational vehicle tent 60815 23 35118 26 59519 25 29924 39

Other type of lodging 99902 38 73314 54 83930 36 38356 50

Did not stay overnight 1489330 569 333896 245 1417045 607 288922 380

Not reported 1271 005 559 004 731 003 208 003

Nights at destination

Mean nights at destination 15 NA NA NA 11 NA NA NA

Friends or relatives home 33 NA NA NA 27 NA NA NA

Hotel motel or resort 28 NA NA NA 23 NA NA NA

KEY NA = not applicable

a Includes other leisure purposes not shown separately

NOTE

Numbers may not add to totals due to rounding

SOURCE

US Department of Transportation Bureau of Transportation Statistics Federal Highway Administration National Household Travel Survey data CD-ROM February 2004

Number Percent Number Percent Number Percent Number Percent Number Percent

TOTAL 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Under 5 19281 70 113329 43 56136 41 107012 46 37220 49

5ndash17 years 52450 189 337984 129 169303 124 297520 127 101565 134

18ndash24 years 23918 86 209171 80 97575 72 192499 82 60386 79

25ndash29 years 18432 66 192382 74 109392 80 172075 74 56290 74

30ndash39 years 43114 156 505463 193 260673 192 447666 192 136738 180

40ndash49 years 40924 148 483005 185 257444 189 428672 183 134938 177

50ndash59 years 30498 110 391161 149 204614 150 351977 151 110109 145

60ndash64 years 11250 41 123103 47 67517 50 111692 48 39101 51

65ndash74 years 18345 66 155190 59 81500 60 140226 60 53741 71

75 years and over 18997 69 106337 41 56659 42 86755 37 30237 40

Median (years) 335 NA 373 NA NA NA 374 NA NA NA

Sex total 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Male 135291 488 1499967 573 757454 557 1347123 577 429259 565

Female 141917 512 1117160 427 603358 443 988971 423 331066 435

Race total 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

White 193338 697 2033914 777 1058412 778 1821143 780 595944 784

Black 33877 122 207350 79 91393 67 180399 77 59363 78

Asian or Pacific Islander 7223 26 49559 19 59235 44 39501 17 12067 16

American Indian Eskimo or Aleutian 1316 05 12565 05 5975 04 11688 05 3693 05

Other 39472 142 294628 113 136480 100 266200 114 84115 111

Not reported 1983 07 19110 07 9318 07 17163 07 5144 07

Ethnicity total 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Hispanic origin 35043 126 253100 97 118516 87 227266 97 71465 94

Not of Hispanic origin 242165 874 2364026 903 1242297 913 2108828 903 688859 906

Household income 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

Less than $25000 58935 213 327852 125 133903 98 302354 129 95773 126

$25000ndash$39999 54404 196 454543 174 188296 138 422556 181 138312 182

$40000ndash$49999 29471 106 297383 114 135256 99 278871 119 86849 114

$50000ndash$59999 26622 96 285398 109 147926 109 260465 111 85859 113

$60000ndash$74999 25557 92 305461 117 134024 98 281037 120 83941 110

$75000ndash$99999 32264 116 380371 145 221657 163 332095 142 107055 141

$100000 or more 33587 121 444802 170 334526 246 359642 154 129050 170

Not reported 16369 59 121316 46 65224 48 99074 42 33486 44

Household type 277208 1000 2617126 1000 1360813 1000 2336094 1000 760325 1000

One adult no children 13743 50 139195 53 84619 62 119661 51 38003 50

One adult youngest child 0-5 5736 21 25736 10 15239 11 21777 09 6528 09

One adult youngest child 6-15 8242 30 70325 27 31689 23 63413 27 18918 25

One adult youngest child 16-21 2614 09 22080 08 7677 06 18741 08 4967 07

One adult retired no children 8750 32 42932 16 23648 17 36142 15 11325 15

Two or more adults no children 50160 181 620148 237 355433 261 542463 232 175694 231

Two or more adults youngest child 0-5 69688 251 593106 227 291117 214 536070 229 172395 227

Two or more adults youngest child 6-15 64237 232 590787 226 292422 215 530746 227 167498 220

Two or more adults youngest child 16-21 18741 68 205093 78 101686 75 182859 78 57110 75

Two or more adults retired no children 35297 127 307725 118 157284 116 284221 122 107887 142

Educational attainment total (Persons 16

years and over) 208479 1000 2173473 1000 1144890 1000 1940042 1000 624049 1000

Less than high school graduate 30601 147 183801 85 84797 74 162768 84 49856 80

High school graduate 63428 304 585117 269 225637 197 554002 286 168467 270

Some college no degree 43377 208 458953 211 211462 185 423517 218 137884 221

Associates degree 13570 65 162145 75 80413 70 146649 76 46528 75

Bachelors degree 33063 159 437767 201 285168 249 369402 190 126532 203

Some grad school or grad degree 23237 111 339237 156 253592 221 278227 143 93484 150

Not reported 1202 06 6453 03 3822 03 5477 03 1299 02

Activity status total (Persons 16 years

and over) 208479 1000 2173473 1000 1144890 1000 1940042 1000 624049 1000

Working full time 115428 554 1426531 656 716671 626 1275103 657 382355 613

Retired 35611 171 254291 117 137388 120 230254 119 85957 138

Other 57098 274 491046 226 289717 253 433191 223 155015 248

Not reported 342 02 1605 01 1115 01 1495 01 722 01

SOURCE

US Department of Transportation Bureau of Transportation Statistics Federal Highway Administration National Household Travel Survey data CD-ROM February 2004

Numbers may not add to totals due to rounding

KEY NA = not applicable

NOTE

Table 1-40 Long-Distance Travel in the United States by Selected Traveler Characteristics 2001(Roundtrips to destinations at least 50 miles away)

Personal-use vehicle

trips (thousands)

Personal-use vehicle-

miles (millions)

Person trips

(thousands)

Person-miles

(millions)

Persons

(thousands)

RankTotal Enplaned

Passengers RankTotal Enplaned

Passengers RankTotal Enplaned

Passengers

Atlanta GA (Hartsfield-Jackson Atlanta International) ATL 2 30407111 1 41659180 1 40561055 334 -26Chicago IL (Chicago OHare International) ORD 1 30526401 2 34513840 2 34538523 131 01Dallas TX (DallasFort Worth International) DFW 3 26639351 3 27781723 3 28333481 64 20Los Angeles CA (Los Angeles International) LAX 4 22799083 4 22966374 4 23120782 14 07Denver CO (Denver International) DEN 6 15246315 6 20261091 5 22239718 459 98Las Vegas NV (McCarran International) LAS 9 14116485 5 20690104 6 21147480 498 22Phoenix AZ (Phoenix Sky Harbor International) PHX 7 14807863 7 20077737 7 20330995 373 13Houston TX (George Bush Intercontinental) IAH 14 11621912 8 18249888 8 19613422 688 75Detroit MI (Detroit Metropolitan Wayne County) DTW 8 14117157 10 17380159 9 17281152 224 -06Minneapolis MN (Minneapolis-St Paul InternationalWold-Chamberlain) MSP 12 12616095 9 17886902 10 17134607 358 -42Newark NJ (Newark Liberty International) EWR 11 12952399 12 14878468 11 16271958 256 94Orlando FL (Orlando International) MCO 16 10846685 11 15535919 12 15378208 418 -10Philadelphia PA (Philadelphia International) JFK 19 9703787 13 14456484 13 14965019 542 35New York NY (John F Kennedy International) PHL 24 8571888 14 14411122 14 14438445 684 02Seattle WA (Seattle-Tacoma International) SEA 15 11486892 15 13964482 15 14291086 244 23Charlotte NC (Charlotte Douglas International) CLT 18 10007911 17 13279429 16 14107603 410 62San Francisco CA (San Francisco International) SFO 5 16308203 16 13829903 17 13906724 -147 06Miami FL (Miami International) MIA 13 11907895 18 12192270 18 12780840 73 48Boston MA (General Edward Lawrence Logan International) BOS 17 10653824 20 11707169 19 12093139 135 33New York NY (LaGuardia) LGA 20 9593965 19 12119157 20 12071453 258 -04Salt Lake City UT (Salt Lake City International) SLC 21 9462849 23 10589843 21 10277654 86 -29Baltimore MD (BaltimoreWashington International Thurgood Marshall) BWI 29 5907427 25 9563821 22 10019927 696 48Washington DC (Dulles International) IAD 35 4758242 21 11599100 23 9553095 1008 -176Fort Lauderdale FL (Fort Lauderdale-Hollywood International) FLL 32 4848058 24 10036938 24 9425289 944 -61Chicago IL (Chicago Midway) MDW 38 4436034 29 8343201 25 8913135 1009 68Tampa FL (Tampa International) TPA 30 5720761 26 8996109 26 8846722 546 -17Washington DC (Ronald Reagan Washington National) DCA 26 6771891 28 8507707 27 8838646 305 39San Diego CA (San Diego International) SAN 27 6549170 27 8568237 28 8611784 315 05Honolulu HI (Honolulu International) HNL 23 9035709 30 8107456 29 8304573 -81 24Cincinnati OH (CincinnatiNorthern Kentucky International) CVG 25 7301767 22 11225311 30 7939156 87 -293Oakland CA (Oakland International) OAK 36 4684494 31 6936037 31 6990359 492 08St Louis MO (Lambert-St Louis International) STL 10 13546822 32 6742592 32 6937174 -488 29Portland OR (Portland International) PDX 28 6125579 33 6667403 33 6811500 112 22Memphis TN (Memphis International) MEM 41 3944376 34 5627970 34 5508105 396 -21Kansas City MO (Kansas City International) MCI 34 4820290 39 5023692 35 5417680 124 78Cleveland OH (Cleveland-Hopkins International) CLE 31 5286823 35 5374470 36 5288819 00 -16San Jose CA (Norman Y Mineta San Jose International) SJC 33 4825943 36 5233950 37 5196515 77 -07Sacramento CA (Sacramento International) SMF 45 3321408 38 5049631 38 5124995 543 15San Juan PR (Luis Munoz Marin International) SJU 37 4549722 37 5157226 39 5069747 114 -17Santa Ana CA (John Wayne-Orange County) SNA 43 3532746 40 4791169 40 4775825 352 -03Nashville TN (Nashville International) BNA 48 3254956 43 4518169 41 4703808 445 41Raleigh NC (Raleigh-Durham International) RDU 52 2879935 42 4662943 42 4597105 596 -14Pittsburgh PA (Pittsburgh International) PIT 22 9348286 41 4749997 43 4568569 -511 -38Houston TX (William P Hobby) HOU 40 4026140 45 3959941 44 4113486 22 39Indianapolis IN (Indianapolis International) IND 44 3328005 44 4144250 45 3966788 192 -43Austin TX (Austin-Bergstrom International) AUS 53 2829581 48 3637262 46 3918155 385 77San Antonio TX (San Antonio International) SAT 46 3319535 50 3524520 47 3822380 151 85Fort Myers FL (Southwest Florida Regional) RSW 60 1945044 47 3644301 48 3642754 873 00Dallas TX (Love Field) DAL 42 3540539 56 2948373 49 3439110 -29 166Hartford CT (Bradley International) BDL 56 2549669 49 3542051 50 3333430 307 -59Total top 50b NA NA 464893952 NA 570252224 NA 572561975 232 04All airports NA NA 558559160 NA 690256949 NA 691170716 237 01

Table 1-41 Passengers Boarded at the Top 50 US Airportsa

(Ranked By Passenger Enplanements in 2006)

Code

1996 2005 2006

Percent change 1996-2006

Percent change 2005-2006Airport

SOURCEUS Department of Transportation Bureau of Transportation Statistics Office of Airline Information T-3 data various years (Washington DC 2008)

KEY NA = not applicable R = revised

a Rank order by total enplaned passengers on large certificated US air carriers (Majors Nationals Large Regionals and Medium Regionals) scheduled and nonscheduled operations at all airports served within the 50 states the District of Columbia and other US areas designated by the Federal Aviation Administration

NOTE

Large certificated air carriers hold Certificates of Public Convenience and Necessity issued by the US Department of Transportation authorizing the performance of air transportation Large certificated air carriers operate at least one aircraft with seating capacity of more than 60 seats or a maximum payload capacity of more than 18000 pounds Data for commuter small-certificated and foreign-flag air carriers are not included

b The total for the top 50 airports will not sum from the individual airports because some top 50 airports in 2006 were not in the top 50 in the earlier years

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL arriving passengers (excludes Canada)

12646 20262 24156 36414 35464 38927 41558 43818 46910 49853 54315 56181 57785 62217 56700 53865 53952 59582 60699 62951

United States (excludes Canada) 6502 10031 11798 19145 18910 20537 21940 23291 24582 25148 26744 27390 27462 29837 27985 26953 26557 29992 31657 32735Foreign (excludes Canada) 6144 10231 12357 17269 16554 18390 19618 20527 22328 24704 27571 28791 30324 32380 28715 26912 27395 29591 29042 30217Selected countries of embarkationa

Australia 106 227 277 495 561 598 591 551 581 622 618 613 670 812 739 724 674 758 789 808Bahama Islands 758 1123 1503 1679 1436 1341 1370 1424 1433 1487 1530 1396 1337 1471 1458 1430 1491 1500 1554 1509Barbados 76 135 216 228 197 191 208 196 222 212 203 195 197 208 191 206 218 229 205 230Belgium 144 242 281 417 366 357 408 377 379 407 589 715 730 778 598 330 305 375 382 364Bermuda 398 497 434 487 430 405 436 447 426 363 425 407 384 374 334 312 310 311 323 358Brazil 212 300 352 584 635 645 711 878 1112 1176 1388 1377 1154 1280 1094 977 949 1010 1087 1154Canadab N N N 6870 6263 6546 6843 6812 7417 8501 8895 9613 9676 10236 9166 8686 8380 9189 9785 UChinaTaiwan 50 113 206 325 404 447 606 830 972 1017 1068 1080 1170 1186 1092 1024 846 986 1085 1141Colombia 173 315 279 286 305 343 389 443 481 499 586 606 649 674 683 590 618 658 594 787Denmark 222 267 241 313 279 295 285 267 221 236 252 225 223 232 240 309 314 314 278 350Dominican Republic 336 468 606 948 849 951 1027 1070 1136 1168 1168 1251 1368 1498 1430 1409 1593 1745 1805 1961France 512 689 955 1777 1600 1926 1877 2017 2045 2178 2323 2523 2591 3147 3023 2879 2735 2965 2970 2941Germany 622 1175 1582 2466 2444 2797 2922 2883 3125 3173 3545 3558 3491 3886 3519 3483 3673 3955 4177 4252Grand Cayman 25 121 173 273 256 229 185 294 314 323 328 370 335 343 317 291 287 284 171 303Greece 121 208 187 132 83 146 165 201 220 235 186 192 191 195 135 108 101 129 129 163Haiti 91 133 192 233 217 154 200 137 314 303 289 293 327 303 317 338 353 312 247 302Hong Kong 98 228 270 356 397 437 511 558 658 668 589 592 650 731 735 697 519 796 893 1002Ireland 220 220 274 448 418 569 582 660 642 721 716 775 950 1064 992 848 1025 1105 1243 1319Israel 84 189 294 204 202 231 293 332 412 483 482 502 547 577 400 343 356 449 512 576Italy 431 537 662 792 716 885 903 953 1007 1047 1097 1078 1171 1511 1269 1082 983 1220 1254 1301Jamaica 457 429 707 975 907 888 982 1040 1124 1136 1162 1219 1209 1248 1226 1238 1226 1267 1200 1499Japan 1095 1624 2435 4528 4510 4972 4999 5149 5676 6349 6736 6630 6991 6974 5876 5666 5261 6071 6263 5769Korea Republic of 105 234 390 826 827 971 1070 1166 1335 1514 1625 1184 1240 1470 1262 1253 1192 1364 1439 1545Mexico 1626 2886 2719 4313 4467 4625 4778 5107 4884 5591 6124 6318 6576 6999 6591 6349 6753 7604 8075 8471Netherlands 312 427 583 837 892 1039 1297 1427 1580 1774 2074 2213 2318 2401 2132 2104 2055 2213 2252 1944Netherland Antilles 213 327 407 388 353 290 360 390 339 305 368 382 371 389 371 371 401 422 397 441Panama Republic 97 150 180 153 175 177 201 221 225 229 227 267 308 359 343 339 370 387 364 468Philippines 108 194 145 246 261 315 318 375 397 379 410 275 331 405 400 365 339 414 383 496Spain 306 312 419 558 520 659 600 578 604 618 675 732 734 827 758 769 809 872 772 855Switzerland 236 312 452 616 525 549 603 676 733 790 910 1068 1026 1069 913 701 699 707 711 712United Kingdom 1549 2973 3460 5166 4793 5651 6006 6087 6648 7131 7935 8640 8780 9382 8435 8217 8281 8801 8654 8432Venezuela 205 533 248 458 510 576 653 702 786 659 709 810 794 718 730 556 400 527 449 535

Table 1-42 Air Passenger Travel Arrivals in the United States from Selected Foreign Countries by Flag of Carriers (Thousands of passengers)

KEY N = data do not exist U = data are not available

a Country where passenger boarded a direct flight to the United Statesb Canadian figures come from a separate source and represents the number of revenue passengers on scheduled commercial and charter flights Does not include foreign (non-Canadian non-US) scheduled carriers

NOTES

Includes passengers on international commercial flights arriving at US airports and travelers between US airports in the 50 states Puerto Rico Guam or the Virgin Islands and other US territories Data compiled from flight reports required by the US Immigration and Naturalization Service except for Canada

SOURCESTotals and all selected Countries except for Canada

1975-94 US Department of Transportation Research and Special Programs Administration Volpe National Transportation Systems Center US International Air Travel Statistics (Cambridge MA Annual issues) table IIa

1995 US Department of Commerce International Trade Administration US International Air Passenger Statistics Report Calendar Year 1995 (Washington DC 1996) table IIa

1996-2006 Ibid US International Air Travel Statistics Report (Washington DC Annual issues) table IIa and personal communication Jan 10 2008

Canada

Statistics Canada Air Carrier Traffic at Canadian Airports (Canada Annual issues) and personal communication Feb 21 2007

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL departing passengers (excludes Canada)

12053 19256 22487 34046 33286 36211 38254 40349 43026 45785 49684 50863 53856 57498 52594 48606 49968 55931 58545 59477

United States (excludes Canada) 5912 9369 10696 17628 17530 18858 20232 21355 22231 22901 24302 24513 25457 27431 25483 23610 24070 27249 29668 35686Foreign (excludes Canada) 6141 9886 11791 16418 15756 17353 18022 18993 20795 22884 25382 26350 28399 30068 27111 24996 25897 28683 28877 23791Selected countries of debarkationa

Australia 103 245 232 540 581 609 588 522 560 614 606 607 686 806 713 686 672 766 828 879Bahama Islands 704 1006 1151 1279 1128 1005 1046 963 1024 994 983 955 1027 1137 1007 935 1101 1151 1230 1252Barbados 74 126 204 230 199 185 207 208 217 210 200 196 202 214 204 189 206 222 237 246Belgium 134 231 249 395 318 355 372 334 340 380 513 622 713 740 586 265 269 346 369 351Bermuda 372 467 389 277 237 217 247 242 199 196 215 207 206 189 150 165 216 251 261 289Brazil 206 291 322 560 592 659 696 826 1024 1135 1292 1297 1134 1194 1081 936 928 989 1094 1147Canadab N N N 6870 6263 6546 6798 6764 7405 8477 8890 9647 9692 10246 9161 8672 8406 9222 9807 UChinaTaiwan 41 90 187 337 447 481 616 803 891 945 939 934 975 1026 944 927 770 917 1008 1048Colombia 171 299 294 277 294 324 353 415 461 467 567 588 585 622 649 587 615 640 696 790Denmark 188 254 254 307 239 266 272 254 229 227 259 217 214 227 239 316 334 357 318 359Dominican Republic 322 443 528 896 780 881 949 980 995 1057 1070 1108 1263 1294 1214 1180 1357 1466 1624 1695France 470 635 894 1626 1523 1769 1759 1896 1868 2021 2147 2289 2544 3082 2927 2588 2620 2887 3065 3008Germany 649 1178 1539 2339 2298 2627 2788 2785 2883 2978 3178 3210 3364 3722 3389 3108 3364 3747 4014 4134Grand Cayman 26 112 161 250 238 196 244 259 264 285 290 305 291 289 271 237 271 255 203 275Greece 123 190 210 129 88 150 150 184 194 206 192 181 170 170 126 102 99 124 115 101Haiti 81 124 169 201 178 139 180 118 292 288 284 295 315 296 300 315 332 286 273 285Hong Kong 59 152 238 310 369 474 477 545 640 651 610 621 621 728 733 657 512 783 894 978Ireland 163 212 233 311 263 316 324 380 409 449 488 554 743 809 797 631 779 837 908 993Israel 105 186 255 259 249 294 317 367 426 492 499 488 515 480 374 338 363 465 484 475Italy 409 495 660 731 694 873 878 918 955 1006 1055 1041 1101 1366 1182 955 962 1172 1246 1310Jamaica 416 382 607 888 821 796 887 909 987 988 1018 1018 1086 1095 1084 1067 1126 1164 1193 1335Japan 1183 1602 2255 4471 4431 4795 4757 4954 5452 6187 6796 6487 6709 6985 5993 5665 5072 5819 5949 5708Korea Republic of 60 186 333 723 759 887 961 1082 1252 1382 1461 1032 1101 1307 1137 1114 1110 1269 1349 1386Mexico 1525 2886 2671 4136 4230 4307 4371 4632 4568 5133 5613 5771 6217 6510 6025 5643 6075 6931 7488 7615Netherlands 304 409 562 777 881 965 1150 1319 1444 1636 1920 1933 2009 2107 1854 1722 1674 1827 1931 1877Netherland Antilles 184 282 395 377 341 309 347 368 295 288 319 340 335 337 344 330 370 384 398 414Panama Republic 100 142 209 183 189 186 194 211 214 221 240 272 299 344 355 343 386 403 422 463Philippines 81 160 165 195 194 241 249 228 281 275 306 218 272 348 309 332 309 376 352 341Spain 260 273 397 540 513 637 576 553 573 577 615 669 708 782 732 688 740 887 799 862Switzerland 224 306 434 600 527 543 593 657 712 760 811 906 983 1038 905 671 690 705 696 699United Kingdom 1446 2840 3322 4903 4594 5245 5682 5918 6372 6693 7475 8143 8717 9154 8180 7659 7962 8709 8497 8156Venezuela 198 518 245 444 488 565 641 686 778 644 698 782 793 694 728 533 405 534 567 552

Table 1-43 Air Passenger Travel Departures from the United States to Selected Foreign Countries by Flag of Carriers (Thousands of passengers)

KEY N = data do not exist U = data are not available R = revised

Totals and all selected Countries except for Canada

a Country where passenger deboarded a direct flight from the United Statesb Canadian figures come from a separate source and represents the number of revenue passengers on scheduled commercial and charter flights Does not include foreign (non-Canadian non-US) scheduled carriers

Includes passengers on international commercial flights departing US airports and travelers between US airports in the 50 states Puerto Rico Guam or the Virgin Islands and other US territories Data compiled from flight reports required by the US Immigration and Naturalization Service except for Canada data Numbers may not add to totals due to rounding

Statistics Canada Air Carrier Traffic at Canadian Airports (Canada Annual issues) and personal communication Feb 21 2007

1975-94 US Department of Transportation Research and Special Programs Administration Volpe National Transportation Systems Center US International Air Travel Statistics (Cambridge MA Annual issues) table IId 1995 US Department of Commerce International Trade Administration US International Air Passenger Statistics Report Calendar Year 1995 (Washington DC 1996) table IId 1996-2006 Ibid US International Air Travel Statistics Report (Washington DC Annual issues) table IId and personal communication Jan 10 2008Canada

NOTES

SOURCES

All US-Canadian land gateways 2002 2003 2004 2005 2006 2007All personal vehicle passengers 70007912 All personal vehicle passengers 61502402 All personal vehicle passengers 64848466 All personal vehicle passengers 62501376 All personal vehicle passengers 62986037 All personal vehicle passengers 58247817All personal vehicles 32538817 All personal vehicles 30220184 All personal vehicles 30660487 All personal vehicles 30351683 All personal vehicles 30038327 All personal vehicles 29763178All bus passengers 4212863 All bus passengers 3779970 All bus passengers 3890380 All bus passengers 3854858 All bus passengers 3499103 All bus passengers 3684631All pedestrians 1081682 All pedestrians 937493 All pedestrians 826017 All pedestrians 605339 All pedestrians 533739 All pedestrians 441066All train passengers 255134 All train passengers 234796 All train passengers 223477 All train passengers 235758 All train passengers 244683 All train passengers 233070All buses 160961 All buses 156589 All buses 155702 All buses 153454 All buses 129433 All buses 136420Personal vehicle passengers ndash top 5 gatewaysBuffalo-Niagara Falls NY 17031458 Buffalo-Niagara Falls NY 13216214 Buffalo-Niagara Falls NY 13195191 Buffalo-Niagara Falls NY 13224477 Buffalo-Niagara Falls NY 13514778 Buffalo-Niagara Falls NY 14372038Detroit MI 12318806 Detroit MI 10965872 Detroit MI 10574206 Detroit MI 10655076 Detroit MI 9932051 Detroit MI 9560365Blaine WA 4794088 Blaine WA 4491959 Blaine WA 4936364 Blaine WA 4868308 Blaine WA 5276202 Blaine WA 5187218Port Huron MI 4188972 Port Huron MI 3821908 Port Huron MI 3909238 Port Huron MI 4001589 Port Huron MI 4106919 Port Huron MI 3523429Champlain-Rouses Point NY 3766141 Champlain-Rouses Point NY 3521091 Massena NY 3598175 Champlain-Rouses Point NY 2921118 Champlain-Rouses Point NY 2920749 Champlain-Rouses Point NY 1923295Personal vehicles ndash top 5 gatewaysBuffalo-Niagara Falls NY 7569643 Buffalo-Niagara Falls NY 6414415 Buffalo-Niagara Falls NY 6148983 Detroit MI 6035004 Buffalo-Niagara Falls NY 6026058 Buffalo-Niagara Falls NY 5977040Detroit MI 6857332 Detroit MI 6315590 Detroit MI 6131426 Buffalo-Niagara Falls NY 6034398 Detroit MI 5634179 Detroit MI 5471657Blaine WA 2385389 Blaine WA 2299636 Blaine WA 2524256 Blaine WA 2482065 Blaine WA 2596970 Blaine WA 2763389Port Huron MI 2187210 Port Huron MI 1965011 Port Huron MI 1995988 Port Huron MI 1953413 Port Huron MI 1975745 Port Huron MI 1704479Massena NY 1162510 Massena NY 1133727 Calais ME 1200379 Calais ME 1174011 Calais ME 1173617 Calais ME 1032840Bus passengers ndash top 5 gatewaysBuffalo-Niagara Falls NY 1556924 Buffalo-Niagara Falls NY 1321778 Buffalo-Niagara Falls NY 1222775 Buffalo-Niagara Falls NY 1367283 Detroit MI 911799 Buffalo-Niagara Falls NY 1142765Detroit MI 915551 Detroit MI 904425 Detroit MI 930725 Detroit MI 931100 Buffalo Niagara Falls NY 885061 Detroit MI 870982Blaine WA 336696 Blaine WA 283863 Blaine WA 329297 Champlain-Rouses Point NY 296390 Blaine WA 452521 Blaine WA 337322Champlain-Rouses Point NY 282859 Champlain-Rouses Point NY 234620 Champlain-Rouses Point NY 277018 Blaine WA 294564 Champlain-Rouses Point NY 294028 Champlain-Rouses Point NY 306898Port Huron MI 147309 Sault Ste Marie MI 192760 Sault Ste Marie MI 223800 Skagway AK 134204 Skagway AK 144819 Sault Ste Marie MI 165136Pedestrians ndash top 5 gatewaysBuffalo-Niagara Falls NY 818913 Buffalo-Niagara Falls NY 656022 Buffalo-Niagara Falls NY 547126 Buffalo-Niagara Falls NY 370295 Buffalo-Niagara Falls NY 345652 Buffalo-Niagara Falls NY 277000Sumas WA 64432 Sumas WA 59330 Sumas WA 54911 Calais ME 44238 Sumas WA 28963 Sumas WA 33341Portland MEa 39293 Calais ME 45899 Calais ME 44762 Sumas WA 33769 Calais ME 22323 Calais ME 29123Calais ME 35154 Portland MEa 38129 International Falls MN 28180 International Falls MN 24497 International Falls MN 20440 Point Roberts WA 14762International Falls MN 24175 International Falls MN 27623 Portland MEa

21599 Point Roberts WA 22440 Point Roberts WA 14935 International Falls MN 14238Train passengers ndash top 5 gatewaysBlaine WA 60521 Skagway AK 44430 Skagway AK 52353 Skagway AK 67462 Skagway AK 74347 Skagway AK 80816Buffalo-Niagara Falls NY 47315 Blaine WA 43515 Blaine WA 41705 Buffalo-Niagara Falls NY 35951 Buffalo-Niagara Falls NY 37880 Buffalo-Niagara Falls NY 39640Champlain-Rouses Point NY 33738 Buffalo-Niagara Falls NY 37240 Buffalo-Niagara Falls NY 31045 Blaine WA 35454 Champlain-Rouses Point NY 33518 Blaine WA 32106Skagway AK 29754 Champlain-Rouses Point NY 28325 Champlain-Rouses Point NY 30294 Champlain-Rouses Point NY 29831 Blaine WA 32184 Champlain-Rouses Point NY 20881Port Huron MI 26815 Port Huron MI 25485 Port Huron MI 18297 Port Huron MI 19032 Port Huron MI 16070 Detroit MI 9323Buses ndash top 5 gatewaysBuffalo-Niagara Falls NY 50582 Buffalo-Niagara Falls NY 43358 Buffalo-Niagara Falls NY 39920 Buffalo-Niagara Falls NY 45289 Detroit MI 36457 Buffalo-Niagara Falls NY 37529Detroit MI 36603 Detroit MI 36177 Detroit MI 37229 Detroit MI 37244 Buffalo-Niagara Falls NY 30295 Detroit MI 33615Blaine WA 15748 Sault Ste Marie MI 15760 Sault Ste Marie MI 17453 Blaine WA 12720 Blaine WA 12776 Blaine WA 14405Champlain-Rouses Point NY 10415 Blaine WA 12865 Blaine WA 14279 Skagway AK 10257 Skagway AK 10405 Skagway AK 11309Sault Ste Marie MI 8831 Champlain-Rouses Point NY 11290 Skagway AK 9515 Sault Ste Marie MI 10243 Champlain-Rouses Point NY 8317 Champlain-Rouses Point NY 8124

Table 1-44 US-Canadian Border Land-Passenger Gateways Entering the United States

a Gateway is a pedestrianferry combination crossing

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwbtsgovitt as of October 2008

NOTE

Data reflect all personal vehicles buses passengers and pedestrians entering the United States across the US-Canadian border regardless of nationality

SOURCE

All US-Mexican land gateways 2002 2003 2004 2005 2006 2007All personal vehicle passengers 199020692 All personal vehicle passengers 193697482 All personal vehicle passengers 190936607 All personal vehicle passengers 186067448 All personal vehicle passengers 179255014 All personal vehicle passengers 164534262All personal vehicles 89849415 All personal vehicles 88068391 All personal vehicles 91133889 All personal vehicles 91556319 All personal vehicles 88295570 All personal vehicles 81788235All pedestrians 50278281 All pedestrians 48663773 All pedestrians 48084235 All pedestrians 45829612 All pedestrians 46251414 All pedestrians 49538963All bus passengers 3926154 All bus passengers 3746885 All bus passengers 3388517 All bus passengers 3169779 All bus passengers 3187282 All bus passengers 3389055All buses 309360 All buses 319087 All buses 269027 All buses 256396 All buses 262862 All buses 265162All train passengers 15108 All train passengers 12101 All train passengers 12664 All train passengers 17833 All train passengers 21504 All train passengers 20482Personal vehicle passengers top 5 gatewaysSan Ysidro CA 36171884 San Ysidro CA 39180519 San Ysidro CA 33382991 San Ysidro CA 32265477 San Ysidro CA 31868563 San Ysidro CA 28390175El Paso TX 26363164 El Paso TX 26317018 El Paso TX 28108167 El Paso TX 29180824 El Paso TX 27999510 El Paso TX 23674992Hidalgo TX 17613527 Brownsville TX 15673205 Hidalgo TX 15514648 Brownsville TX 14614745 Laredo TX 14244080 Laredo TX 13367960Laredo TX 15915545 Hidalgo TX 15587611 Brownsville TX 15374317 Laredo TX 14017324 Brownsville TX 14023353 Hidalgo TX 13304851Brownsville TX 15820595 Laredo TX 15208606 Laredo TX 15032956 Hidalgo TX 13989453 Hidalgo TX 12632201 Brownsville TX 13062876Personal vehicles top 5 gatewaysSan Ysidro CA 16441766 San Ysidro CA 17408481 San Ysidro CA 17621030 San Ysidro CA 17208106 San Ysidro CA 17135163 San Ysidro CA 15696262El Paso TX 13095153 El Paso TX 13699206 El Paso TX 14817206 El Paso TX 15971739 El Paso TX 15602602 El Paso TX 14062053Hidalgo TX 8136100 Brownsville TX 7219865 Brownsville TX 7211401 Brownsville TX 7103553 Brownsville TX 6967503 Hidalgo TX 6835305Brownsville TX 7896809 Hidalgo TX 7169629 Hidalgo TX 7183674 Hidalgo TX 6969846 Hidalgo TX 6480467 Brownsville TX 6476671Laredo TX 6921709 Laredo TX 6777423 Laredo TX 6725119 Otay Mesa CA 6672994 Calexico CA 6110214 Calexico CA 5747309Pedestrians top 5 gatewaysEl Paso TX 9301395 El Paso TX 8899168 San Ysidro CA 9457600 San Ysidro CA 8156350 San Ysidro CA 7811614 El Paso TX 8454434San Ysidro CA 7903483 San Ysidro CA 8302110 El Paso TX 8441671 El Paso TX 7613546 Nogales AZ 7726045 San Ysidro CA 7756569Calexico CA 6894820 Calexico CA 6230123 Nogales AZ 6131407 Nogales AZ 6930198 El Paso TX 7500141 Nogales AZ 7722877Nogales AZ 5911866 Nogales AZ 5583533 Calexico CA 4847096 Calexico CA 4481014 Laredo TX 4245842 Calexico CA 5290977Laredo TX 4648046 Laredo TX 4577725 Laredo TX 4507105 Laredo TX 4356041 Calexico CA 4048629 Laredo TX 4625416Bus passengers top 5 gatewaysSan Ysidro CA 1199630 San Ysidro CA 1244973 San Ysidro CA 1032343 San Ysidro CA 995337 San Ysidro CA 1060444 Laredo TX 899461Laredo TX 757459 Laredo TX 748644 Laredo TX 802635 Laredo TX 826679 Laredo TX 878164 San Ysidro CA 875450Hidalgo TX 632923 Hidalgo TX 655430 Hidalgo TX 650100 Hidalgo TX 369443 Otay Mesa CA 312862 El Paso TX 442191Otay Mesa CA 546493 El Paso TX 392718 El Paso TX 265096 El Paso TX 276381 El Paso TX 239749 Hidalgo TX 310225El Paso TX 351335 Otay Mesa CA 303756 Otay Mesa CA 251461 Otay Mesa CA 251614 Nogales AZ 217093 Otay Mesa CA 296637Buses top 5 gatewaysSan Ysidro CA 97042 San Ysidro CA 110820 San Ysidro CA 109946 San Ysidro CA 105930 San Ysidro CA 100632 San Ysidro CA 97726Otay Mesa CA 65474 Otay Mesa CA 72749 Otay Mesa CA 41032 Otay Mesa CA 39203 Otay Mesa CA 44793 Otay Mesa CA 47258Laredo TX 38852 Laredo TX 35406 Laredo TX 37902 Laredo TX 35841 Laredo TX 37105 Laredo TX 37106El Paso TX 32270 Hidalgo TX 32805 Hidalgo TX 32701 Hidalgo TX 27964 Hidalgo TX 27344 Hidalgo TX 28942Hidalgo TX 31952 El Paso TX 30031 El Paso TX 17551 El Paso TX 15993 El Paso TX 14843 El Paso TX 18530Train passengers top 5 gatewaysEagle Pass TX 6872 Eagle Pass TX 6496 Eagle Pass TX 6612 El Paso TX 7637 El Paso TX 11165 El Paso TX 10519Nogales AZ 2216 El Paso TX 1869 El Paso TX 2234 Eagle Pass TX 7248 Eagle Pass TX 5348 Eagle Pass TX 5940Calexico East CA 1934 Nogales AZ 1664 Nogales AZ 1656 Calexico East CA 1239 Nogales AZ 2612 Nogales AZ 2352El Paso TX 1866 Calexico East CA 1456 Calexico East CA 1618 Nogales AZ 952 Calexico East CA 1556 Calexico East CA 694Tecate CA 1760 Otay MesaSan Ysidro CA 460 Otay MesaSan Ysidro CA 510 Otay MesaSan Ysidro CA 478 Otay MesaSan Ysidro CA 422 Otay MesaSan Ysidro CA 490

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwtranstatsbtsgovbordercrossingaspx as of October 2008

Table 1-45 US-Mexican Border Land-Passenger Gateways Entering the United States

NOTEData reflect all personal vehicles buses passengers and pedestrians entering the United States across the US-Mexican border regardless of nationality

Table 1-46a US Ton-Miles of Freight (Millions)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL US ton-miles of freight (millions) U 1854034 2206713 2284706 2988522 2949410 (R) 3314677 (R) 3348634 (R) 3418086 (R) 3438542 (R) 3614823 (R) 3769036 (R) 3823723 (R) 3805437 (R) 3832237 (R) 3907225 (R) 3907042 (R) 3930546 U U U U U UAir carrier domestic all servicesa 553 1353 2709 3470 4528 5156 9064 8860 9820 10675 11803 12520 12861 13601 13840 14202 14983 13288 13882 15231 16451 (R) 15741 15357 15098Intercity truckb 285000 359000 412000 454000 555000 610000 (R) 854000 (R) 874000 (R) 896000 (R) 936000 (R) 996000 (R) 1042000 (R) 1071000 (R) 1119000 (R) 1149000 (R) 1186000 (R) 1203000 (R) 1224000 1255000 1264000 U U U UClass I rail 572309 697878 764809 754252 918958 876984 1033969 1038875 1066781 1109309 1200701 1305688 1355975 1348926 1376802 1433461 1465960 1495472 1507011 1551438 1662598 1696425 1771897 1770545Domestic water transportation cd U 489803 596195 565984 921836 892970 833544 848399 856685 789658 814919 807728 764687 707410 672795 655862 645799 621686 612081 606146 621170 591277 561629 U

Coastwise U 302546 359784 315846 631149 610977 479134 502133 502311 448404 457601 440345 408086 349843 314864 292730 283872 274559 263688 278919 279857 263464 227155 ULakewise U 75918 79416 68517 61747 48184 60930 55339 55785 56438 58263 59704 58335 62166 61654 57045 57879 50854 53653 47539 55733 51924 53105 UInternal U 109701 155816 180399 227343 232708 292393 289959 297639 283894 297762 306329 296791 294023 294896 304724 302558 294861 293410 278352 284096 274367 279778 UIntraport U 1638 1179 1222 1596 1102 1087 968 950 922 1293 1350 1475 1378 1381 1362 1490 1413 1329 1336 1484 1521 1591 U

Oil pipelined 229000 306000 431000 507000 588200 564300 584100 578500 588800 592900 591400 601100 619200 616500 619800 617700 577300 576100 586200 590200 599600 U U UKEY R = revised U = data are not available

a Includes freight express and mail revenue ton-miles as reported on US DOT Form 41 b Methodology was changed in 1990 for intercity trucks Therefore figures prior to 1990 are not comparable to those after 1990c Excludes intraterritorial traffic for which ton-miles were not compiledd The large increase between1975 and 1980 was a result of a new Alaska pipeline and consequent water transportation of crude petroleum from Alaskan ports to mainland United States for refining

NOTENumbers may not add to totals due to roundings

SOURCESAir carrier domestic all services1960-65 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970)1970-80 Ibid Air Carrier Traffic Statistics (Washington DC Annual issues) p 2 line 31985-2007 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues) p 3 line 3 Intercity truck Eno Transportation Foundation Inc Transportation in America 2007 (Washington DC 2007) p 40Class I railAssociation of American Railroads Railroad Facts (Washington DC Annual Issues) p 27Domestic water transportationUS Army Corps of Engineers Waterborne Commerce of the US (New Orleans LA Annual issues) part 5 section 1 table 1-4 and similar tables in earlier editions available at httpwwwiwrusacearmymilndcwcscwcschtm as of December 2008Oil pipeline1960-70 Eno Transportation Foundation Inc Transportation in America 1998 (Washington DC 1998) p 441975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC Annual issues) table 41980-2004 Ibid Shifts in Petroleum Transportation (Washington DC Annual issues) table 1

1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991TOTAL US ton-miles of freight 3404015 3366977 3195585 3251983 3340242 3313968 3328383 3474621 3597143 3567921 3621943 3636104Air 4840 5090 5140 5870 6500 6710 7340 8670 9330 10210 10420 9960Truck 629675 630899 646693 674021 706896 716808 735213 774923 800858 828508 848779 867938Railroad 932000 924000 810000 841000 900091 876209 891235 951940 1025683 1045628 1064408 1041929Domestic water transportation 921835 929413 886469 919566 887719 892971 873401 895415 890029 815550 833544 848399

Coastwise 631149 634765 632707 649750 593923 610977 580889 586818 561595 483889 479134 502133Lakewise 61747 62148 35623 43088 49784 48184 43198 50077 58160 58308 60930 55339Internal 227343 231184 217027 225628 242855 232708 248117 257336 269036 272157 292393 289959Intraport 1596 1316 1112 1100 1157 1102 1197 1184 1238 1196 1087 968

Pipeline 915666 877574 847284 811526 839037 821270 821195 843673 871243 868025 864792 867878Oil and oil products 588000 564000 566000 556000 568000 564000 578000 587000 601000 584000 584100 578500Natural Gas 327666 313574 281284 255526 271037 257270 243195 256673 270243 284025 280692 289378

KEY R = revised

Table 1-46b US Ton-Miles of Freight (BTS Special Tabulation) (Millions)

SOURCEUS Department of Transportation Bureau of Transportation Statistics special tabulation

NOTES

BTS is developing more comprehensive and reliable estimates of ton-miles for the air truck rail water and pipeline modes than are presented in table 1-46a These improved estimates are not comparable to data in table 1-46a Improved estimates for 1960-1989 which will allow more comprehensive and reliable data for the entire period from 1960 to present are still under development and will be reported when they are completed Numbers may not add to totals due to rounding

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 20063746398 3767376 3944968 4104235 4174096 4179411 4228559 4300631 4328642 4357472 4409000 4414797 (R) 4541097 (R) 4574701 4637513

10990 11540 12030 12720 13760 13900 14140 14500 15810 13288 13837 15096 16451 (R) 15741 15357890231 927980 987923 1034041 1061952 1110554 1139777 1176388 1192825 1213208 1245542 1264773 1281573 (R) 1291515 1294492

1098379 1135016 1221073 1317010 1377095 1391089 1448352 1503665 1546319 1599332 1605532 1603564 1684461 1733777 1852833856683 789657 814917 807728 764687 707410 672795 655861 645799 621687 612080 606146 621170 591276 561629502311 448404 457600 440345 408086 349843 314864 292730 283872 274559 263688 278919 279857 263464 227155

55784 56438 58263 59704 58335 62166 61654 57045 57879 50854 53653 47539 55733 51924 53105297638 283894 297762 306329 296791 294023 294896 304724 302558 294861 293410 278352 284096 274367 279778

950 921 1292 1350 1475 1378 1381 1362 1490 1413 1329 1336 1484 1521 1591890114 903183 909025 932737 956602 956458 953495 950217 927889 909957 932009 925218 (R) 937442 (R) 942392 913202588800 592900 591400 601100 619200 616500 619800 618000 577000 576000 586000 590000 599600 (R) 607500 584700301314 310283 317625 331637 337402 339958 333695 332217 350889 333957 346009 335218 (R) 337842 (R) 334892 328502

Gateway Typea Rank Exports Imports Total Rank Exports Imports TotalLos Angeles CA Water 1 299 1504 1802 1 263 1437 1700New York NY and NJ Water 2 406 1246 1652 2 332 1161 1493John F Kennedy International NY Air 3 770 842 1612 3 684 794 1478Long Beach CA Water 4 267 1204 1471 5 214 1133 1347Detroit MI Land 5 733 633 1366 4 728 645 1372Houston TX Water 6 534 612 1146 7 419 609 1029Laredo TX Land 7 474 630 1104 6 458 582 1040Chicago IL Air 8 334 531 866 9 313 467 781Los Angeles International CA Air 9 416 380 796 8 410 380 791Buffalo-Niagara Falls NY Land 10 386 400 786 10 355 400 755Port Huron MI Land 11 307 463 771 11 255 449 703San Francisco International CA Air 12 297 319 616 12 295 343 638Charleston SC Water 13 198 411 609 13 161 391 551Savannah GA Water 14 183 313 496 18 136 261 397Norfolk VA Water 15 207 288 495 16 174 271 445El Paso TX Land 16 200 291 491 14 210 257 467Anchorage AK Air 17 107 345 453 15 115 332 446Baltimore MD Water 18 140 280 420 19 96 270 366Dallas-Fort Worth TX Air 19 181 234 415 17 175 241 416New Orleans LA Air 20 182 229 411 21 142 200 341Seattle WA Water 21 92 284 376 20 86 260 346Atlanta GA Air 22 125 229 354 23 124 209 332Oakland CA Water 23 114 234 348 22 98 236 333Miami International FL Air 24 240 104 345 25 207 96 303Tacoma WA Water 25 60 278 338 24 49 277 326New Orleans LA Water 26 159 171 330 27 115 145 260Otay Mesa Station CA Land 27 99 208 307 26 99 187 286Cleveland OH Air 28 159 114 273 28 161 97 258Morgan City LA Water 29 01 264 265 29 01 254 256Beaumont TX Water 30 21 213 233 30 19 202 220Corpus Christie TX Water 31 42 187 228 36 33 157 190Hidalgo TX Land 32 90 129 219 34 83 118 200Champlain-Rouses Point NY Land 33 81 134 215 35 72 128 199Jacksonville FL Water 34 90 120 210 31 87 125 212Port Everglades FL Water 35 101 109 209 38 80 105 186Miami FL Water 36 90 105 195 33 89 114 203San Juan International Airport PR Air 37 103 85 188 46 76 50 126Philadelphia PA Water 38 19 166 185 32 17 190 207Nogales AZ Land 39 60 121 182 37 63 125 189Blaine WA Land 40 99 79 179 39 88 84 171Texas City TX Water 41 25 151 176 44 16 120 137Pembina ND Land 42 94 78 172 40 85 69 154Portland OR Water 43 36 123 159 43 26 115 141Washgington DC Air 44 52 97 149 42 51 100 151Boston Logan Airport MA Air 45 88 59 147 45 83 53 136Gramercy LA Water 46 60 86 147 55 47 62 109Newark NJ Air 47 37 104 141 41 31 121 152Sweetgrass MT Land 48 68 69 137 48 63 60 122Lake Charles LA Water 49 15 120 134 58 12 94 106Portal ND Land 50 77 57 134 50 68 51 119Total top 50 gatewaysb

NA NA 9019 15430 24449 NA 8119 14600 22719

Table 1-47 Top US Foreign Trade Freight Gateways by Value of Shipments (Current $ billions)20062007

KEY NA = not applicable

SOURCES

Air US Department of Commerce US Census Bureau Foreign Trade Division special tabulation December 2008

Water US Army Corps of Engineers Navigation Data Center special tabulation December 2008Land US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Transborder Freight Data December 2008

a Water data are preliminary

NOTES

b Data for 2006 is based on the top 50 freight gateways in 2006 and is not a summation of the numbers on the table

All data Trade levels reflect the mode of transportation as a shipment enters or exits at a border port Flows through individual ports are based on reported data collected from US trade documents Trade does not include low-value shipments (In general these are imports valued at less than $1250 and exports that are valued at less than $2500)

Air Data for all air gateways are reported at the port level and include a low level (generally less than 2-3 of the total value) of small user-fee airports located in the same region Air gateways not identified by airport name (eg Chicago IL and others) include major airport(s) in that geographic area in addition to small regional airports In addition due to Bureau of Census confidentiality regulations data for courier operations are included in the airport totals for JFK International Airport New Orleans Los Angeles Cleveland Chicago Miami and Anchorage

Numbers may not add to totals due to rounding

Table 1-48 US-Canadian Border Land-Freight Gateways Number of Truck or Rail Container Crossings

2002 2003 2004 2005 2006 2007TruckTotal US-Canadian border (R) 6915973 Total US-Canadian border 6728228 Total US-Canadian border 6903882 Total US-Canadian border 6783944 Total US-Canadian border 6649249 Total US-Canadian border 6559263Total top 5 gateways 4567704 Total top 5 gateways 4478405 Total top 5 gateways 4591686 Total top 5 gateways 4553263 Total top 5 gateways 4499055 Total top 5 gateways 4457219Detroit MI 1670565 Detroit MI 1634319 Detroit MI 1701452 Detroit MI 1745318 Detroit MI 1770008 Detroit MI 1773465Buffalo-Niagara NY 1208095 Buffalo-Niagara NY 1162961 Buffalo-Niagara NY 1175254 Buffalo-Niagara NY 1142411 Buffalo-Niagara NY 1117789 Buffalo-Niagara NY 1088438Port Huron MI 907729 Port Huron MI 928074 Port Huron MI 945962 Port Huron MI 922401 Port Huron MI 835927 Port Huron MI 770282Blaine WA 410256 Champlain-Rouse Pt NY 387962 Champlain-Rouse Pt NY 397317 Champlain-Rouse Pt NY 388869 Champlain-Rouse Pt NY 409372 Blaine WA 438001Champlain-Rouses Point NY 371059 Blaine WA 365089 Blaine WA 371701 Blaine WA 354264 Blaine WA 365959 Champlain-Rouse Pt NY 387033RailTotal US-Canadian border 1824976 Total US-Canadian border 1868245 Total US-Canadian border 1950909 Total US-Canadian border 1940557 Total US-Canadian border 1923787 Total US-Canadian border 1939876Total top 5 gateways 1305446 Total top 5 gateways 1333244 Total top 5 gateways 1346724 Total top 5 gateways 1325479 Total top 5 gateways 1333105 Total top 5 gateways 1347207Port Huron MI 424635 Port Huron MI 458551 Port Huron MI 474175 Port Huron MI 457275 Port Huron MI 445269 Port Huron MI 466569Detroit MI 293300 Detroit MI 254688 International Falls MN 259165 International Falls MN 251118 International Falls MN 282784 International Falls MN 290852International Falls MN 238515 International Falls MN 252699 Detroit MI 234823 Portal ND 231832 Portal ND 244988 Portal ND 242220Portal ND 199637 Portal ND 217390 Portal ND 224896 Detroit MI 231482 Detroit MI 218963 Detroit MI 213777Buffalo-Niagara NY 149359 Buffalo-Niagara NY 149916 Buffalo-Niagara NY 153665 Buffalo-Niagara NY 153772 Buffalo-Niagara NY 141101 Buffalo-Niagara NY 133789NOTES

Truck Data represent the number of truck crossings not the number of unique vehicles Data are for both loaded and empty trucks Rail Data includes both loaded and empty rail containers

SOURCE

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwbtsgovitt as of December 2008

Table 1-49 US-Mexican Border Land-Freight Gateways Number of Truck or Rail Container Crossings2002 2003 2004 2005 2006 2007

TruckTotal US-Mexican border 4426593 Total US-Mexican border 4238045 Total US-Mexican border 4503688 Total US-Mexican border 4675897 Total US-Mexican border 4758915 Total US-Mexican border 4882500Total top 5 gateways 3544815 Total top 5 gateways 3378199 Total top 5 gateways 3604137 Total top 5 gateways 3737803 Total top 5 gateways 3778528 Total top 5 gateways 3895641Laredo TX 1441653 Laredo TX 1354229 Laredo TX 1391850 Laredo TX 1455607 Laredo TX 1518989 Laredo TX 1563836Otay MesaSan Ysidro CA 731291 Otay MesaSan Ysidro CA 697152 Otay MesaSan Ysidro CA 726164 El Paso TX 740654 Otay MesaSan Ysidro CA 749472 El Paso TX 782936El Paso TX 705199 El Paso TX 659614 El Paso TX 719545 Otay MesaSan Ysidro CA 730253 El Paso TX 744951 Otay MesaSan Ysidro CA 738765Hidalgo TX 390282 Hidalgo TX 406064 Hidalgo TX 454351 Hidalgo TX 491077 Hidalgo TX 457825 Hidalgo TX 486756Calexico East CA 276390 Calexico East CA 261140 Calexico East CA 312227 Calexico East CA 320212 Calexico East CA 307291 Calexico East CA 323348RailTotal US-Mexican border 602322 Total US-Mexican border 607475 Total US-Mexican border 675305 Total US-Mexican border 728559 Total US-Mexican border 803291 Total US-Mexican border 813511Total top 5 gateways 591255 Total top 5 gateways 596773 Total top 5 gateways 660214 Total top 5 gateways 710238 Total top 5 gateways 788472 Total top 5 gateways 797481Laredo TX 296782 Laredo TX 313244 Laredo TX 317061 Laredo TX 316402 Laredo TX 332950 Laredo TX 341856Eagle Pass TX 98236 Brownsville TX 98622 El Paso TX 110992 El Paso TX 143741 Brownsville TX 97572 El Paso TX 179076Brownsville TX 96591 Eagle Pass TX 88329 Brownsville TX 97803 Brownsville TX 105175 El Paso TX 185614 Eagle Pass TX 134041Nogales AZ 52236 El Paso TX 50893 Eagle Pass TX 87459 Eagle Pass TX 98089 Eagle Pass TX 112521 Brownsville TX 90139El Paso TX 47410 Nogales AZ 45685 Nogales AZ 46899 Nogales AZ 46831 Nogales AZ 59815 Nogales AZ 52369NOTESTruck Data represent the number of truck crossings not the number of unique vehicles Data are for both loaded and empty trucks Rail Data includes both loaded and empty rail containers

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Border CrossingEntry Data available at httpwwwbtsgovitt as of December 2008

Table 1-50 US Waterborne Freight (Million short tons)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

TOTAL freight 10999 12729 15317 16950 19989 17884 21639 20921 21321 21282 22148 22404 22841 23331 23395 23226 24246 23933 23403 23943 (R) 25519 25276Foreign 3393 4437 5810 7487 9214 7743 10416 10136 10375 10600 11157 11474 11834 12206 12454 12608 13548 13508 13193 13781 (R) 15049 14987

Imports 2113 2698 3393 4766 5175 4127 6000 5554 5867 6488 7195 6727 7326 7883 8407 8608 9397 9518 9349 10048 (R) 10891 10969Exports 1280 1739 2416 2721 4039 3616 4416 4582 4508 4113 3962 4747 4508 4323 4047 4000 4150 3990 3843 3733 (R) 4158 4018

Domestic 7606 8292 9507 9463 10775 10141 11223 10785 10946 10682 10990 10930 11007 11125 10941 10618 10698 10425 10210 10161 (R) 10471 10289Inland 2911 3696 4721 5039 5350 5347 6226 6004 6210 6073 6184 6203 6221 6306 6250 6246 6284 6198 6080 6096 (R) 6262 6240Coastal 2092 2015 2384 2319 3296 3098 2986 2945 2851 2717 2770 2666 2674 2631 2496 2288 2269 2236 2164 2235 (R) 2206 2137Great Lakes 1551 1537 1571 1293 1151 920 1102 1034 1074 1099 1148 1161 1149 1227 1222 1139 1144 1000 1015 898 (R) 1035 962Intraport 1042 1029 815 783 942 743 864 756 768 744 829 831 890 898 901 886 946 932 900 869 (R) 913 902Intraterritory 10 15 16 29 36 34 45 46 42 50 59 69 73 63 72 59 55 59 51 64 55 49

KEY R = revised

NOTES Beginning in 1996 shipments of fish are excluded from domestic tonnage totalsNumbers may not add to totals due to rounding

SOURCES

1960-2003 US Army Corps of Engineers Waterborne Commerce of the United States Calendar Year 2004 (New Orleans LA) part 5 tables 1-1 1-3 and 1-62004-2005 Ibid Preliminary Waterborne Commerce Statistics for Calendar Year 2005 (New Orleans LA) Internet site httpwwwiwrusacearmymilndc as of May 7 2007

Ports RankTotal tons (Millions) Rank

Total tons (Millions) Rank

Total tons (Millions)

South Louisiana LA 1 2255 1 2122 1 1898 62 188Houston TX 2 2221 2 2117 2 1482 50 499New York NY and NJ 3 1576 3 1521 3 1316 36 198Long Beach CA 4 844 5 799 9 584 57 445Beaumont TX 5 795 6 789 21 357 08 1226Corpus Christi TX 6 776 7 776 6 805 -01 -36Huntington - Tristate 7 772 4 839 26 275 -80 1808New Orleans LA 8 769 8 659 4 837 167 -82Los Angeles CA 9 660 12 549 16 457 202 444Mobile AL 10 598 11 577 12 509 38 176Lake Charles LA 11 584 13 527 15 491 108 190Baton Rouge LA 12 563 9 593 5 810 -50 -304Plaquemines LA Port of 13 559 15 479 8 669 167 -165Texas City TX 14 489 10 578 10 564 -155 -133Duluth-Superior MN and WI 15 470 16 447 19 414 50 135Tampa FL 16 462 14 492 13 493 -60 -62Baltimore MD 17 424 18 441 17 436 -38 -26Pittsburgh PA 18 420 19 436 11 509 -38 -175Paulsboro NJ 19 392 23 321 27 250 224 567Philadelphia PA 20 386 20 394 18 419 -19 -78Pascagoula MS 21 377 26 293 24 293 284 283Valdez AK 22 362 17 444 7 771 -187 -531Norfolk Harbor VA 23 342 21 353 14 493 -29 -305Savannah GA 24 340 25 301 36 176 128 930Freeport TX 25 321 22 336 29 246 -43 308St Louis MO and IL 26 313 24 303 22 302 32 38Portland OR 27 285 29 281 23 297 12 -42Port Arthur TX 28 284 31 264 20 372 76 -236Seattle WA 29 280 30 281 30 235 -04 188Charleston SC 30 264 33 254 51 111 39 1384Tacoma WA 31 260 28 283 32 215 -80 211Chicago IL 32 257 32 258 25 279 -04 -78Richmond CA 33 256 35 245 31 218 46 175Portland ME 34 252 27 293 42 152 -138 656Port Everglades FL 35 248 34 247 34 189 06 314Jacksonville FL 36 222 37 218 39 167 20 327Boston MA 37 219 36 224 33 201 -23 87Marcus Hook PA 38 201 39 203 47 124 -08 625Memphis TN 39 191 41 171 37 173 117 104Detroit MI 40 174 40 174 35 176 -05 -15Oakland CA 41 166 42 166 50 112 01 482Honolulu HI 42 162 38 204 48 120 -204 351Indiana Harbor IN 43 162 45 141 38 169 145 -43Cleveland OH 44 152 47 136 40 167 113 -92Anacortes WA 45 151 43 158 44 138 -40 94Two Harbors MN 46 134 51 110 52 107 225 259Cincinnati OH 47 133 44 146 46 128 -86 41San Juan PR 48 129 48 134 43 151 -31 -143Newport News VA 49 113 46 137 28 248 -172 -543Toledo OH 50 112 53 105 45 130 63 -144Total top 50 22879 22319 20235 25 131All ports 25884 25276 22841 24 133

NOTE

SOURCE

Table 1-51 Tonnage of Top 50 US Water Ports Ranked by Total Tonsa

Percent change

1996-2006

Percent change

2005-2006

US Army Corps of Engineers Waterborne Commerce of the United States Part 5 National Summaries (New Orleans LA Annual issues) tables 1-1and 5-2

2006 19962005

a Tonnage totals include both domestic and foreign waterborne trade

Numbers may not add to totals due to rounding

1993

(billion $)

1997

(billion $)

(R) 2002

(billion $)

(R) Percent

change

(1993-2002)

1993

(millions)

1997

(millions)

(R) 2002

(millions)

(R) Percent

change

(1993-2002)

1993

(billions)

1997

(billions)

(R) 2002

(billions)

(R) Percent

change

(1993-2002)

TOTAL all modes 58463 69440 83972 436 96885 110897 116679 204 24209 26614 31379 296

Single modes total 49415 57196 70494 427 89223 104365 110867 243 21369 23835 28679 342

Trucka 44035 49815 62350 416 63859 77007 78428 228 8695 10235 12559 444

For-hire truck 26251 29013 37571 431 28083 34026 36573 302 6290 7411 9596 526

Private truck 17558 20365 24453 393 35435 41373 41497 171 2359 2686 2911 234

Rail 2474 3196 3109 257 15441 15498 18739 214 9426 10225 12616 338

Water 616 758 893 450 5054 5634 6812 348 2720 2617 2826 39

Shallow draft 407 539 575 412 3625 4148 4586 265 1644 1893 2115 287

Great Lakes S 15 08 S 330 384 380 151 124 134 138 114

Deep draft 197 204 310 571 1099 1102 1846 679 952 590 574 -398

Air (includes truck and air) 1391 2291 2650 905 31 45 38 198 40 62 58 455

Pipelineb 898 1135 1492 661 4836 6182 6850 416 S S S S

Multiple modes total 6626 9459 10792 677 2257 2167 2167 -40 1915 2045 2257 179

Parcel US Postal Service or courier 5633 8559 9877 754 189 237 255 350 132 180 190 445

Truck and rail 831 757 699 -158 406 542 43 58 377 556 455 208

Truck and water 94 82 144 529 680 332 233 -657 406 348 324 -202

Rail and water 36 18 33 -84 792 793 105 327 702 776 1150 638

Other multiple modes 32 43 38 188 189 262 198 44 S 186 138 S

Other unknown modes total 2423 2786 2686 109 5405 4365 3646 -326 926 734 442 -522

NOTE

SOURCES

c Ton-miles estimates are based on estimated distances traveled along a modeled transportation network

2002 US Department of Transportation Bureau of Transportation Statistics and US Department of Commerce Census Bureau 2002 Commodity Flow Survey United States (Washington DC December 2004) table 1a

Numbers may not add to totals due to rounding Value-of-shipments estimates have not been adjusted for price changes Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification system to the 1997 North American Industry Classification System and other survey improvements Therefore data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years

1993 1997 US Department of Transportation Bureau of Transportation Statistics and US Department of Commerce Census Bureau 1997 Commodity Flow Survey United States (Washington DC December 1999) table 1b

Table 1-52 Freight Activity in the United States 1993 1997 and 2002Value Tons Ton-miles

c

Mode of transportation

KEY S = data are not published because of high sampling variability or other reasons R = reviseda Truck as a single mode includes shipments that went by private truck only for-hire truck only or a combination of both b Excludes most shipments of crude oil

SCTGValue

($billions) PercentTons

(millions) PercentTon-milesb

(billions) PercentValue per

ton ($)

Averagemiles per shipment

01 Live animals and live fish 74 01 61 01 16 01 1211 530

02 Cereal grains 538 06 5611 48 2642 84 96 138

03 Other agricultural products 1295 15 2592 22 1094 35 500 481

04 Animal feed and products of animal origin (NEC) 521 06 2280 20 512 16 229 167

05 Meat fish seafood and their preparations 2013 24 845 07 414 13 2382 162

06 Milled grain products preparations and bakery products 1134 14 1093 09 490 16 1037 189

07 Other prepared foodstuffs and fats and oils 3556 42 4489 38 1616 51 792 179

08 Alcoholic beverages 1090 13 894 08 257 08 1219 55

09 Tobacco products 699 08 44 00 10 00 15988 334

10 Monumental or building stone 30 00 225 02 16 01 135 170

11 Natural sands 36 00 4730 41 300 10 8 45

12 Gravel and crushed stone 129 02 18665 160 1058 34 7 30

13 Nonmetallic minerals (NEC) 101 01 1846 16 566 18 55 185

14 Metallic ores and concentrates 140 02 983 08 630 20 143 474

15 Coal 229 03 12399 106 6863 219 18 120

17 Gasoline and aviation turbine fuel 2794 33 10636 91 1172 37 263 52

18 Fuel oils 1161 14 5490 47 555 18 212 32

19 Coal and petroleum products (NEC) 821 10 4480 38 930 30 183 102

20 Basic chemicals 1537 18 3477 30 1160 37 442 417

21 Pharmaceutical products 4791 57 243 02 113 04 19741 693

22 Fertilizers 340 04 2643 23 876 28 129 157

23 Chemical products and preparations (NEC) 2266 27 1060 09 537 17 2138 385

24 Plastics and rubber 3257 39 1400 12 808 26 2327 424

25 Logs and other wood in the rough 58 01 S S 78 02 S S

26 Wood products 1586 19 3459 30 1202 38 458 242

27 Pulp newsprint paper and paperboard 1025 12 1371 12 782 25 748 206

28 Paper or paperboard articles 1037 12 692 06 234 07 1499 282

29 Printed products 1345 16 340 03 170 05 3953 816

30 Textiles leather and articles of textiles or leather 4664 56 512 04 318 10 9104 940

31 Nonmetallic mineral products 1500 18 9680 83 1359 43 155 357

32 Base metal in primary or semifinished forms and in finished basic shapes 2598 31 3281 28 1213 39 792 270

33 Articles of base metal 2346 28 1164 10 427 14 2014 392

34 Machinery 4842 58 634 05 345 11 7638 377

35 Electronic and other electrical equipment and components and office equipment 8908 106 496 04 303 10 17963 713

36 Motorized and other vehicles (including parts) 7486 89 1331 11 590 19 5624 395

37 Transportation equipment (NEC) 1550 18 184 02 106 03 8447 1074

38 Precision instruments and apparatus 2251 27 184 02 39 01 12264 922

39 Furniture mattresses and mattress supports lamps lighting fittings and illuminated signs 1397 17 325 03 137 04 4293 515

40 Miscellaneous manufactured products 3874 46 792 07 345 11 4891 995

41 Waste and scrap 379 05 2172 19 480 15 174 166

43 Mixed freight 8403 100 2999 26 528 17 2802 329

Commodity unknown 172 02 243 02 89 03 710 485All commodities

a83972 1000 116679 1000 31379 1000 720 589

US Department of Transportation Bureau of Transportation Statistics US Department of Commerce Census Bureau 2002 Commodity Flow Survey United States (Washington DC December 2004) table 5a

Table 1-53 Value Tons and Ton-Miles of Freight Shipments within the United States by Domestic Establishments 2002 R

NOTE

SOURCE

Coverage for the 2002 Commodity Flow Survey (CFS) differs from previous surveys due to a change from the 1987 Standard Industrial Classification system to the 1997 North American Industry Classification System and other survey improvements Therefore data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years

a Estimates exclude shipments of crude petroleum (SCTG 16)b Ton-miles estimates are based on estimated distances traveled along a modeled transportation network

KEY NEC = not elsewhere classified R = revised SCTG = Standard Classification of Transportation Goods S = data are not published due to high sampling variability or some other problem

table_01_53xls

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Exports to Canada total 1247012 1298841 1391097 1339703 1377454 1463741 1548474 1456616 1464353 1548708 1718781 1929075 2092832 2260583

Truck 891511 974234 1027430 1111738 1148061 1231400 1298253 1176945 1182591 1242350 1358975 1512217 1643181 1743427Rail 135939 152719 156787 132556 122796 117546 129465 129727 139741 147765 165966 193219 224778 254968Pipeline 1338 1213 1622 1806 934 1139 1616 2213 1743 7596 15842 23939 21800 33345Othera 217532 170105 204675 93361 105595 113600 119134 147720 140267 150992 177767 199331 202634 228338Mail b 693 570 583 241 68 56 06 11 12 04 231 369 438 505

Exports to Mexico total 465033 426622 517534 641695 701653 761290 971589 889264 851578 856148 973037 1042765 1167492 1187585Truck 390665 359142 440918 555926 604321 669238 823892 742231 709247 705508 793492 833412 929916 930472Rail 41920 46944 51192 56480 61888 57106 104958 103894 101430 112649 136329 157477 172712 193400Pipeline 04 10 23 683 734 1442 3018 2961 5679 1553 872 5433 7070 7874Othera 32389 20258 25401 28605 34700 33496 39720 40177 35215 36433 42164 46228 57791 55810Mailc 55 268 ndash 01 10 07 ndash 01 06 04 181 216 03 29

Imports from Canada total 1235049 1436695 1562066 1556826 1621057 1837235 2102705 2008534 1948207 2074484 2367349 2654021 2788892 2847731Truck 794564 889649 984008 998148 1088567 1189014 1278163 1171299 1179853 1167141 1327621 1436956 1498840 1504041Rail 303228 399969 398110 382930 373741 462554 496992 471979 469668 499809 579472 606063 632584 659622Pipeline 97286 106066 127962 138795 111201 120555 231171 259085 218323 314513 368283 487665 538652 550156Othera 39916 38882 49684 35725 45751 63869 95710 105238 79927 92366 89944 121844 117360 129574Mail 55 52 69 04 17 131 41 72 04 03 02 01 02 04FTZd U 2076 2234 1224 1779 1112 628 861 433 653 2026 1493 1455 4335

Imports from Mexico total 436162 540489 633122 721550 817203 950234 1134364 1118703 1143808 1148425 1276460 1354004 1552051 1677132Truck 350139 430143 483500 567165 658837 764480 886687 863772 905936 925350 1049438 1122676 1264636 1370370Rail 77690 91379 122977 126469 120297 146934 210561 220568 207907 197017 201834 207822 258635 270600Pipeline 1879 274 81 36 24 15 115 16 06 02 03 minus 554 1686Othera 6435 7689 6392 6682 9178 12558 15739 15397 15489 16001 18387 19902 23992 26964Mail 19 13 15 02 02 02 06 01 02 minus minus minus minus UFTZd

U 10992 20156 21196 28867 26244 21257 18949 14468 10054 6798 3604 4233 7511

NOTES

c Beginning in January 1996 new edit checks were added in the processing of the these data Because of these checks the number of mail export shipments from the United States to Mexico declined sharply between 1995 and 1996 The Census Bureau found that a number of rail shipments were misidentified as mail shipments in 1994 and 1995 although the exact proportion of these is unknown

KEY ndash = value too small to report U = data are not available

Table 1-54 Value of US Land Exports to and Imports from Canada and Mexico by Mode ($ millions)

a Other includes flyaway aircraft or aircraft moving under their own power (ie aircraft moving from the manufacturer to a customer and not carrying any freight) powerhouse (electricity) vessels moving under their own power pedestrians carrying freight and unknown and miscellaneousb Mail shipments data for several years prior to May 2004 were not compiled correctly resulting in undercounts

US Department of Transportation Bureau of Transportation Statistics Transborder Surface Freight Data Internet site wwwbtsgovtransborder as of Apr 15 2008

d Foreign Trade Zones (FTZs) were added as a mode of transport for land import shipments beginning in April 1995 Although FTZs are being treated as a mode of transportation in the Transborder Surface Freight Data the actual mode for a specific shipment into or out of an FTZ is unknown because US Customs does not collect this information

Shipments that neither originate nor terminate in the United States (ie in transit in-bond shipments) are not included here although they use the US transportation system These shipments are usually part of Mexico-Canada trade and simply pass through the United States Transshipments however are included between 1994 1995 and 1996 these are shipments that entered or exited the United States by way of a Customs port on the northern or southern border but whose origin or destination was a country other than Canada or Mexico Starting in 1997 transshipments are excluded Users should note these differences before comparing figures for 1994-96 with 1997 and subsequent year data Data exclude export shipments valued at less than $2500 and import shipments valued at less than $1250Numbers may not add to totals due to rounding

SOURCE

Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent Ton-miles Percent

Crude oil total 3315 1000 7530 1000 7862 1000 6282 1000 5860 1000 5432 1000 4869 1000 4541 1000 4230 1000 3760 1000 3766 1000 3840 1000 3804 1000

Pipelinesa2880 869 3626 482 3344 425 3348 533 3359 573 3383 623 3374 693 3341 736 3211 759 2834 754 2770 736 2866 746 2845 748

Water carriers 406 122 (c) 3874 514 4492 571 2912 464 2477 423 2024 373 1473 303 1179 260 1000 236 910 242 981 260 957 249 941 247

Motor carriersb14 04 25 03 18 02 15 02 17 03 17 03 17 03 16 04 14 03 12 03 11 03 12 03 13 03

Railroads 15 05 05 01 08 01 07 01 08 01 08 01 05 01 05 01 05 01 04 01 04 01 05 01 05 01

Refined petroleum products total 5152 1000 4923 1000 4093 1000 4486 1000 4589 1000 4790 1000 4696 1000 4757 1000 4899 1000 4973 1000 4932 1000 4806 1000 5029 1000

Pipelinesa2190 425 2256 458 2299 562 2493 556 2652 578 2809 586 2791 594 2857 601 2966 605 2939 591 2991 606 2996 623 3057 608

Water carriers 2574 500 2304 468 1412 345 1578 352 1532 334 1541 322 1483 316 1471 309 1475 301 1534 308 1459 296 1319 274 1460 290

Motor carriersb262 51 243 50 269 66 282 63 246 54 280 58 260 55 267 56 276 56 301 61 297 60 294 61 319 63

Railroads 126 24 120 24 113 27 133 29 159 35 160 33 162 34 162 34 182 37 199 40 185 38 197 41 193 38

Combined crude and petroleum products total 8467 1000 12453 1000 11955 1000 10768 1000 10449 1000 10222 1000 9565 1000 9298 1000 9129 1000 8733 1000 8698 1000 8646 1000 8833 1000

Pipelinesa5070 599 5882 472 5643 472 5841 542 6011 575 6192 606 6165 645 6198 667 6177 677 5773 661 5761 662 5862 678 5902 668

Water carriers 2980 352 (c) 6178 496 5904 494 4490 417 4009 384 3565 349 2956 309 2650 285 2475 271 2444 280 2440 281 2276 263 2401 272

Motor carriersb276 33 268 22 287 24 297 28 263 25 297 29 277 29 283 30 290 32 313 36 308 35 306 35 332 38

Railroads 141 17 125 10 121 10 140 13 166 16 168 16 167 17 167 18 187 20 203 23 189 22 202 23 198 22

SOURCES1975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC) table 61980-2003 Ibid (Annual issues) tables 1 2 and 3

Numbers may not add to totals due to rounding

a The amount carried by pipeline is based on ton-miles of crude and petroleum products transported through federally regulated pipelines (84) plus estimated ton-miles of crude and petroleum products transported through nonfederally regulated pipelines (16)b The amount carried by motor carriers is estimatedc Reflects the entrance between 1975 and 1980 of the Alaska pipeline moving crude petroleum for water transportation to US refineries

NOTE

1999 20011975 1985 1990 20032002

Table 1-55 Crude Oil and Petroleum Products Transported in the United States by Mode (billions)1995 20001980 1996 1997 1998

Table 1-56 US Hazardous Materials Shipments by Transportation Mode 2002Value Tons Ton-miles Average miles

per shipmentTransportation mode ($ billion) Percent (millions) Percent (billions) Percent

TOTAL all modes 6602 1000 21915 1000 3267 1000 136

Single modes total 6445 976 21585 985 3119 955 105

Trucka4196 636 11595 529 1102 337 86

For-hire 1898 288 4495 205 651 199 285

Privateb2267 343 7022 320 441 135 38

Rail 313 47 1094 50 721 221 695

Water 469 71 2282 104 706 216 S

Air 16 02 01 01 2080

Pipelinec1450 220 6614 302 S S S

Multiple modes total 96 15 187 09 125 38 849

Parcel US Postal Service or Courier 43 06 02 ndash 01 ndash 837

Other 54 08 185 08 124 38 1371

Unknown and other modes total 61 09 142 06 23 07 57

KEY ndash = less than 1 unit of measure or equal to zero S = data are not published because of high sampling variability or other reasons

a Truck as a single mode includes shipments that went by private truck only for-hire truck only or a combination of both

b Private truck refers to a truck operated by a temporary or permanent employee of an establishment or the buyerreceiver of the shipmentc Excludes most shipments of crude oil See previous table for the estimated amount of crude oil and petroleum products transported in the United States

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Transportation Bureau of Transportation Statistics US Department of Commerce Census Bureau 2002 Economic Census Transportation 2002 Commodity Flow Survey Hazardous Materials (Washington DC December 2004) table 1a

Table 1-57 US Hazardous Materials Shipments by Hazard Class 2002Value Tons Ton-miles

Average milesHazard class and description ($ billion) Percent (millions) Percent (billions) Percent per shipment

Class 1 Explosives 79 12 50 02 16 05 651

Class 2 Gases 739 112 2134 97 373 114 95

Class 3 Flammable liquids 4902 743 17890 816 2186 669 106

Class 4 Flammable solids 66 10 113 05 44 13 158

Class 5 Oxidizers and organic peroxides 55 08 127 06 42 13 407

Class 6 Toxics (poison) 83 13 85 04 43 13 626

Class 7 Radioactive materials 59 09 01 S

Class 8 Corrosive materials 383 58 907 41 363 111 301

Class 9 Miscellaneous dangerous goods 236 36 610 28 202 62 368

Total 6602 1000 21915 1000 3267 1000 136

KEY = less than 1 unit of measure or rounds to zero S = data were not published because of high sampling variability or other reasons

NOTENumbers may not add to totals due to rounding

SOURCEUS Department of Transportation Bureau of Transportation Statistics US Department of

Commerce Census Bureau 2002 Economic Census Transportation 2002 Commodity Flow Survey Hazardous Materials (Washington DC December 2004) table 2a

Section EPhysical Performance

Table 1-58 Passengers Boarded and Denied Boarding by the Largest US Air Carriersa (Thousands of passengers)1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006 2007

Boarded 420696 429190 445271 449184 457286 460277 480555 502960 514170 523081 543344 477970 467205 485797 522308 516553 552445 571661Denied boardingb total 628 646 764 683 824 842 957 1071 1136 1070 1120 900 837 769 747 597 674 686

Voluntary 561 599 718 632 771 794 899 1018 1091 1024 1062 861 803 727 702 552 619 622Involuntary 67 47 46 51 53 49 58 54 45 46 57 39 34 42 45 45 55 64

Percent denied boarding 015 015 017 015 018 018 020 021 022 020 021 019 018 016 014 012 012 012a Data include nonstop scheduled service between points within the United States (including territories) by US air carriers with at least 1 of the total domestic scheduled service passenger revenues and operate aircraft with a passenger capacity of more than 60 seats In 2007 the air carriers were Jetblue Airtran Hawaiin Aloha United Alaska American Northwest Frontier Southwest US Airways American Eagle Continental Mesa Skywest Delta Comair Atlantic Southeast Pinnacle Before 1994 carriers included both majors and national airlines ie airlines with over $100 million in revenue b Number of passengers who hold confirmed reservations and are denied boarding (bumped) from a flight because it is oversold These figures include only passengers whose oversold flight departs without them they do not include passengers affected by canceled delayed or diverted flights

SOURCE

US Department of Transportation Office of the Secretary Air Travel Consumer Report (Washington DC Annual February issues) p 39 Internet website httpairconsumerostdotgovreports as of Feb 13 2008

Table 1-59 Mishandled-Baggage Reports Filed by Passengers with the Largest US Air Carriersa

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total mishandled-baggage reports (millions) 266 220 245 228 232 228 246 228 248 254 274 214 181 220 282 294 408 442Enplaned passengers (domestic) (millions) 3957 4085 4170 4075 4357 4398 4640 4598 4817 4991 5175 4679 4714 5245 5754 4420 6066 6288Reports per 1000 passengers 673 538 587 560 533 518 530 496 516 508 529 458 384 419 491 664 673 703

a Data include nonstop scheduled service between points within the United States (including territories) by US air carriers with at least 1 of the total domestic scheduled service passenger revenues and those carriers that report voluntarily In 2007 the air carriers were Airtran Alaska Aloha American American Eagle Atlantic Southeast Comair Continental Delta ExpressJet Frontier Hawaiian JetBlue Mesa Northwest Pinnace Skywest Southwest United and US Airways

NOTESDomestic system only

Based on passenger reports of mishandled-baggage including those that did not subsequently result in claims for compensation

SOURCE

US Department of Transportation Office of the Secretary Air Travel Consumer Report (Washington DC Annual February issues) p 30 Internet website httpairconsumerostdotgovreports as of Mar 18 2008

Table 1-60 Flight Operations Arriving On Time by the Largest US Air Carriersa

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007On-time flight operations (percent) 794 825 823 816 815 786 745 777 772 761 726 774 821 820 781 774 754 734

a Data include nonstop scheduled service between points within the United States (including territories) by US air carriers with at least 1 of the total domestic scheduled service passenger revenues and those carriers that report voluntarily In 2007 the air carriers were Airtran Alaska Aloha American American Eagle Atlantic Southeast Comair Continental Delta ExpressJet Frontier Hawaiian JetBlue Mesa Northwest Pinnace Skywest Southwest United and US Airways

NOTE

A flight is considered on time if it arrived less than 15 minutes after the scheduled time shown in the carriers Computerized Reservations Systems Canceled and diverted operations are counted as late

SOURCEUS Department of Transportation Office of the Secretary Air Travel Consumer Report (Washington DC Annual February issues) table 1a Internet website httpairconsumerostdotgovreports as of Mar 18 2008

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Operations delayed (thousands) 356 338 394 393 298 281 276 248 237 272 245 306 374 450 348 286 317 455 438 492 541Cause (percent)Weather 67 70 57 56 65 65 72 75 72 74 68 74 69 69 72 72 72 70 69 66 65Airport terminal volume 11 9 29 33 26 25 21 18 17 17 20 13 8 11 9 9 7 10 11 13 15Air Route Traffic Control Center volume 13 12 8 2 1 2 1 1 1 2 2 2 4 3 3 5 4 5 4 3 4Closed runways taxiways 4 5 3 3 3 3 3 2 3 3 3 3 5 6 5 4 7 6 10 14 12National Airspace System equipment 4 3 2 1 2 2 2 2 3 2 3 2 2 2 2 1 1 1 1 1 1Other 1 1 1 4 3 3 2 2 4 2 4 6 13 9 10 9 9 8 5 3 3

NOTE

SOURCES

Table 1-61 FAA-Cited Causes of Departure and En Route Delays (After pushing back from the gate)

2000-07 Ibid Operations Network (OPSNET) database query Internet site httpwwwapodatafaagov as of Jun 16 2008

Numbers may not add to totals due to rounding

KEY FAA = Federal Aviation Administration

1998-99 US Department of Transportation Federal Aviation Administration Internet site httpwwwfaagovapaDelaysatDelayshtm as of Aug 8 2002

1987-97 US Department of Transportation Federal Aviation Administration Aviation Capacity Enhancement Plan (Washington DC Annual issues)

1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total operations 5202096 5041200 5270893 5076925 5092157 5070501 5180048 5327435 5351983 5411843 5384721 5527884 5683047 5967780 5271359 6488540 7129270 7140596 7141922 7453215Late departuresa 730712 883167 753182 621509 617148 661056 729960 827934 973948 846870 870395 937273 1131663 953808 717368 834390 1187594 1279404 1424777 1572335

Percent of total 140 175 143 122 121 130 141 155 182 156 162 170 199 160 136 129 167 179 199 211Late arrivalsb 1042452 1208470 1087774 890068 902567 931437 960254 1039250 1220045 1083834 1070071 1152725 1356040 1104439 868225 1057804 1421391 1466065 1615537 1803320

Percent of total 200 240 206 175 177 184 185 195 228 200 199 209 239 185 165 163 199 205 226 242Cancellations 50163 74165 52458 43505 52836 59845 66740 91905 128536 97763 144509 154311 187490 231198 65143 101469 127757 133730 121934 160748

Percent of total 10 15 10 09 10 12 13 17 24 18 27 28 33 39 12 16 18 19 17 22Diversions 14436 14839 15954 12585 11384 10333 12106 10492 14121 12081 13161 13555 14254 12909 8356 11381 13784 14028 16186 17179

Percent of total 03 03 03 02 02 02 02 02 03 02 02 02 03 02 02 02 02 02 02 02

Table 1-62 Major US Air Carrier Delays Cancellations and Diversions

SOURCES

NOTES

1995-2007 Ibid Airline On-Time Tables Table 1 - Summary of Airline On-Time Performance Year-to-date through December 2007available at httpwwwbtsgovprogramsairline_informationairline_ontime_tables as of December 2008

Late departures and arrivals are strongly seasonal and are affected by weather and heavy demand in winter and summer months The term late is defined as 15 minutes after the scheduled departure or arrival time A canceled flight is one that was not operated but was listed in a carriers computer reservation system within seven calendar days of the scheduled departure A diverted flight is one that left from the scheduled departure airport but flew to a destination point other than the scheduled destination point During 2005-2007 20 air carriers reported on-time performance data including all major US carriers (carriers with at least one percent of total domestic scheduled-service passenger revenues) and other carriers that reported voluntarily The number of carriers reporting in previous years is as follows 2004 (19) 2003 (18) 2002 (10) 2001 (12) 2000 (11) 1999 (10) 1998 (10) 1997 (10) 1996 (10) and 1995 (10)

1988-94 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Airline Service Quality Performance data

a Prior to 1995 late departures comprises flights departing 15 minutes or more after the scheduled time and flights cancelled Beginning in 1995 late departures is only flights departing 15 minutes or more after the scheduled departure timeb Prior to 1995 late arrivals comprises flights arriving 15 minutes or more after the scheduled arrival time flights cancelled and flights diverted Beginning in 1995 late arrivals is only flights arriving 15 minutes or more after the scheduled arrival time

Percent Rank Percent Rank

Medium Akron OH 1 1 3 3 4 (R) 4 5 4 6 8 9 9 8 (R) 7 6 6 -33 82 500 29

Medium Albany-Schenectady-Troy NY (R) 1 1 4 3 4 4 4 4 4 4 5 6 6 6 6 7 40 12 600 20

Medium Albuquerque NM 2 4 8 8 10 11 14 18 20 23 25 (R) 24 (R) 18 (R) 17 15 16 -36 85 700 15

Medium Allentown-Bethlehem PA-NJ 3 4 6 6 6 7 7 7 (R) 8 8 8 (R) 8 (R) 8 (R) 9 (R) 9 9 13 48 200 70

Small Anchorage AK 2 3 3 3 2 2 2 2 2 2 2 2 2 2 3 3 50 10 50 83

Very large Atlanta GA 6 10 11 11 12 17 23 26 30 31 33 29 31 (R) 31 32 34 3 58 467 39

Medium Austin TX 4 8 9 11 9 11 14 17 20 24 20 24 25 26 26 27 35 19 575 24

Small Bakersfield CA 1 1 2 2 3 2 2 3 3 3 3 3 4 4 4 4 33 20 300 59

Large Baltimore MD 4 6 15 15 13 14 16 17 18 19 18 18 19 21 26 27 50 10 575 24

Small Beaumont TX 2 3 3 3 3 4 3 3 3 4 6 6 6 6 8 8 33 20 300 59

Medium Birmingham AL 3 4 5 5 5 6 8 9 10 11 13 13 13 13 14 14 8 55 367 52

Very large Boston MA-NH-RI (R) 6 (R) 10 (R) 15 (R) 16 19 (R) 18 (R) 18 (R) 16 (R) 17 (R) 19 (R) 20 (R) 19 (R) 20 (R) 21 (R) 24 25 25 33 317 58

Small Boulder CO 1 2 2 2 2 3 3 3 3 4 4 4 5 5 5 5 25 33 400 44

Medium Bridgeport-Stamford CT-NY 2 4 (R) 6 6 8 8 9 10 10 11 13 16 16 16 (R) 18 17 31 26 750 13

Small Brownsville TX 1 1 1 1 1 1 2 2 2 2 2 3 3 3 3 2 0 60 100 78

Large Buffalo NY 1 1 2 2 2 2 2 2 2 3 3 4 5 5 5 6 100 1 500 29

Small Cape Coral FL 1 2 3 4 4 5 5 6 6 7 7 7 7 7 8 8 14 46 700 15

Small Charleston-North Charleston SC 5 6 10 10 11 10 9 9 9 10 11 12 12 11 12 14 27 31 180 72

Medium Charlotte NC-SC 4 7 11 12 14 13 12 12 14 17 18 19 21 21 24 23 28 30 475 38

Very large Chicago IL-IN 6 11 17 18 18 18 17 20 26 24 26 26 25 26 29 31 19 41 417 43

Large Cincinnati OH-KY-IN 2 3 7 7 8 9 12 (R) 11 (R) 13 (R) 16 (R) 15 (R) 15 (R) 16 (R) 16 (R) 17 17 13 47 750 13

Large Cleveland OH 1 1 3 3 4 5 6 9 10 12 9 10 8 7 6 6 -33 82 500 29

Small Colorado Springs CO 1 2 2 2 3 4 4 6 6 8 (R) 11 (R) 13 (R) 15 (R) 16 (R) 15 14 27 31 1300 4

Small Columbia SC 1 2 3 3 3 3 3 3 3 3 3 4 (R) 4 4 4 5 67 8 400 44

Large Columbus OH 2 2 8 8 10 11 (R) 13 (R) 14 (R) 16 19 (R) 18 (R) 19 (R) 16 (R) 15 15 16 -11 79 700 15

Small Corpus Christi TX 2 2 2 3 3 2 2 2 2 2 2 3 3 4 3 4 100 1 100 78

Very large Dallas-Fort Worth-Arlington TX 6 12 17 18 21 23 22 24 23 24 27 (R) 33 (R) 33 (R) 34 (R) 35 35 30 29 483 36

Medium Dayton OH 1 2 3 4 4 5 (R) 5 (R) 8 (R) 9 (R) 10 (R) 9 (R) 10 (R) 9 (R) 8 (R) 7 6 -33 82 500 29

Large Denver-Aurora CO 7 8 12 13 15 18 19 23 26 29 32 32 34 35 (R) 31 31 -3 72 343 54

Very large Detroit MI 7 7 20 21 28 (R) 33 28 26 26 27 27 26 24 26 27 30 11 50 329 56

Medium El Paso TX-NM 1 1 2 3 4 4 5 5 4 5 5 8 9 11 10 10 100 1 900 6

Small Eugene OR 1 1 2 2 2 3 2 2 3 3 4 5 6 5 5 5 25 33 400 44

Medium Fresno CA 3 3 7 7 7 5 5 5 6 7 8 10 10 8 8 7 -13 80 133 77

Medium Grand Rapids MI 2 2 4 5 6 8 8 7 8 (R) 9 11 11 10 (R) 9 (R) 10 10 -9 75 400 44

Medium Hartford CT (R) 2 2 3 4 6 5 5 5 (R) 5 (R) 7 8 8 8 9 9 8 0 60 300 59

Medium Honolulu HI 4 6 13 13 14 13 13 14 13 12 12 13 10 11 10 11 -8 74 175 74

Table 1-63 Annual Person-Hours of Highway Traffic Delay Per Person

Percent changea

Long-term

1982-2003

Short-term

1998-2003

Population

group Urban area 1982 1985 1990 1991 1992 1993 1994 1995 1996 20032001 20021997 1998 1999 2000

Percent Rank Percent Rank

Table 1-63 Annual Person-Hours of Highway Traffic Delay Per Person

Percent changea

Long-term

1982-2003

Short-term

1998-2003

Population

group Urban area 1982 1985 1990 1991 1992 1993 1994 1995 1996 20032001 20021997 1998 1999 2000

Very large Houston TX 19 33 23 17 17 (R) 20 (R) 23 25 (R) 27 (R) 31 29 35 31 (R) 34 (R) 37 36 24 38 89 82

Large Indianapolis IN 2 2 4 5 7 13 17 19 22 24 19 19 20 21 20 21 11 53 950 5

Medium Jacksonville FL 3 4 10 10 13 13 14 18 17 18 15 15 14 15 17 18 20 40 500 29

Large Kansas City MO-KS 1 2 3 3 4 6 8 6 8 9 9 11 9 9 8 9 0 60 800 10

Small Laredo TX 1 1 1 1 1 1 1 2 2 3 3 4 3 4 4 4 33 20 300 59

Large Las Vegas NV 3 5 12 13 11 10 13 13 14 16 16 17 17 15 (R) 16 16 0 60 433 42

Small Little Rock AR 1 1 2 2 2 3 3 3 3 (R) 3 5 (R) 5 5 6 5 5 0 60 400 44

Very large Los Angeles-Long Beach-Santa Ana CA 19 24 53 51 51 51 46 49 54 52 56 55 (R) 53 (R) 51 (R) 52 50 -11 78 163 75

Medium Louisville KY-IN 4 5 5 7 9 12 14 13 17 19 19 21 20 (R) 19 (R) 21 22 16 44 450 40

Medium Memphis TN-MS-AR 1 2 5 6 7 7 9 11 11 13 13 13 (R) 15 16 (R) 17 18 38 15 1700 2

Very large Miami FL 5 6 13 14 18 18 19 19 21 22 22 24 26 27 29 29 32 25 480 37

Large Milwaukee WI 2 3 5 6 7 9 9 (R) 12 12 12 13 (R) 14 14 13 (R) 13 13 0 60 550 27

Large Minneapolis-St Paul MN 1 4 8 9 11 14 15 17 17 23 23 26 (R) 22 (R) 24 (R) 23 23 0 60 2200 1

Medium Nashville-Davidson TN 6 7 9 8 7 10 12 14 (R) 16 18 16 (R) 18 20 (R) 18 (R) 21 20 25 33 233 66

Medium New Haven CT 2 2 (R) 3 4 5 5 5 5 4 6 9 11 12 (R) 13 (R) 12 11 22 39 450 40

Large New Orleans LA 4 5 6 8 7 7 12 11 11 11 11 11 10 10 9 10 -9 75 150 76

Very large New York-Newark NY-NJ-CT 6 7 18 (R) 14 13 14 16 18 18 20 21 23 21 22 23 23 10 54 283 63

Large Oklahoma City OK 1 2 2 3 3 3 3 4 5 6 6 8 6 6 7 7 17 43 600 20

Medium Omaha NE-IA 2 3 5 5 6 6 8 8 9 9 10 11 (R) 11 12 12 13 30 27 550 27

Large Orlando FL 5 9 11 16 17 19 19 19 21 24 27 26 (R) 30 (R) 31 (R) 30 30 11 50 500 29

Medium Oxnard-Ventura CA 2 5 8 7 7 7 10 11 12 10 (R) 11 12 15 17 17 18 64 9 800 10

Small Pensacola FL-AL 1 2 6 7 7 8 8 8 8 9 9 10 11 10 10 10 11 50 900 6

Very large Philadelphia PA-NJ-DE-MD 5 6 9 12 13 11 12 (R) 15 (R) 15 15 (R) 20 21 18 21 22 21 5 56 320 57

Very large Phoenix AZ 7 8 15 17 19 19 19 16 21 23 20 25 24 (R) 26 (R) 25 26 30 27 271 64

Large Pittsburgh PA 4 5 7 7 7 6 6 7 7 8 8 9 7 7 7 8 0 60 100 78

Large Portland OR-WA 3 3 8 9 11 14 14 16 18 19 20 21 20 (R) 21 (R) 21 20 0 60 567 26

Large Providence RI-MA 2 3 6 6 7 8 8 9 10 (R) 9 10 (R) 12 (R) 12 12 17 18 80 5 800 10

Medium Raleigh-Durham NC 3 5 (R) 8 7 9 10 11 11 11 12 (R) 11 11 12 16 14 15 36 18 400 44

Medium Richmond VA 2 2 4 5 6 6 8 12 (R) 13 (R) 11 (R) 10 10 7 7 8 9 -10 77 350 53

Large Riverside-San Bernardino CA 4 7 20 23 25 24 20 22 24 25 29 28 (R) 28 (R) 28 (R) 29 30 3 57 650 19

Medium Rochester NY 0 1 2 1 2 2 2 3 3 3 3 4 3 3 3 4 33 20 NM NM

Large Sacramento CA 5 7 14 14 13 13 16 14 17 15 (R) 16 (R) 17 (R) 18 (R) 20 (R) 21 22 38 17 340 55

Percent Rank Percent Rank

Table 1-63 Annual Person-Hours of Highway Traffic Delay Per Person

Percent changea

Long-term

1982-2003

Short-term

1998-2003

Population

group Urban area 1982 1985 1990 1991 1992 1993 1994 1995 1996 20032001 20021997 1998 1999 2000

Small Salem OR 1 1 3 4 4 4 5 4 5 6 6 6 6 (R) 7 8 8 33 20 700 15

Medium Salt Lake City UT 1 2 4 5 6 7 9 9 8 7 8 9 10 14 (R) 16 16 100 1 1500 3

Large San Antonio TX 3 7 6 6 7 6 5 10 10 10 13 19 21 19 19 18 38 15 500 29

Large San Diego CA 3 6 16 14 14 13 14 14 14 17 16 20 20 (R) 22 (R) 27 28 75 6 833 9

Very large San Francisco-Oakland CA 12 24 36 28 26 28 24 31 31 28 32 34 (R) 36 (R) 37 (R) 38 37 16 45 208 69

Large San Jose CA 10 21 43 35 26 25 24 26 25 23 26 31 (R) 32 32 29 29 12 49 190 71

Medium Sarasota-Bradenton FL 5 5 5 6 6 7 7 6 8 8 8 10 9 9 (R) 10 10 25 33 100 78

Large Seattle WA 5 9 22 24 (R) 25 25 25 (R) 27 29 (R) 30 (R) 30 (R) 30 (R) 26 25 (R) 26 25 -17 81 400 44

Small Spokane WA 1 2 2 3 3 5 6 4 4 5 5 6 5 5 5 5 0 60 400 44

Medium Springfield MA-CT 3 3 4 3 4 (R) 3 3 4 4 4 4 4 5 4 5 4 0 60 33 84

Large St Louis MO-IL 6 8 9 9 11 15 16 18 18 20 (R) 20 (R) 21 (R) 22 (R) 19 (R) 21 19 -5 73 217 67

Large Tampa-St Petersburg FL 8 9 14 17 18 20 23 23 22 21 21 22 20 23 23 25 19 42 213 68

Medium Toledo OH-MI 1 1 2 2 2 2 3 4 4 5 5 6 (R) 7 7 7 7 40 12 600 20

Medium Tucson AZ 2 2 5 6 6 7 8 8 8 11 (R) 11 (R) 11 11 13 (R) 16 19 73 7 850 8

Medium Tulsa OK 1 2 3 3 3 3 2 3 4 5 (R) 5 6 (R) 7 7 7 7 40 12 600 20

Large Virginia Beach VA 5 7 9 8 9 8 10 11 12 12 14 14 10 12 (R) 14 14 0 60 180 72

Very large Washington DC-VA-MD 10 14 21 22 24 (R) 25 26 28 (R) 30 (R) 29 (R) 33 (R) 34 (R) 31 (R) 32 33 34 3 58 240 65

NA 85-Area Average (R) 6 9 17 16 17 18 18 20 21 22 23 (R) 24 (R) 23 (R) 24 (R) 25 25 9 NA 317 NA

NA Very Large Area Average 9 13 (R) 24 (R) 22 24 (R) 24 24 26 28 28 (R) 30 (R) 31 (R) 30 (R) 30 (R) 32 32 7 NA 256 NA

NA Large Area Average 4 6 (R) 11 12 (R) 12 (R) 13 (R) 14 (R) 15 (R) 16 (R) 18 (R) 18 (R) 19 (R) 19 (R) 19 20 18 0 NA 350 NA

NA Medium Area Average 2 3 (R) 5 6 7 7 8 9 10 11 11 12 (R) 12 (R) 12 (R) 13 13 18 NA 550 NA

NA Small Area Average 2 2 (R) 3 4 4 4 4 (R) 4 (R) 4 5 6 6 (R) 7 (R) 7 7 7 17 NA 289 NA

The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobility

SOURCETexas Transportation Institute The 2005 Annual Urban Mobility Report (College Station TX 2005) Internet site httpmobilitytamuedu as of June 7 2005

NOTE

Small urban areas ndash less than 500000 population

KEY NA = not applicable NM = not meaningful R = revisedVery large urban areas ndash over 3 million populationLarge urban areas ndash over 1 million and less than 3 million populationMedium urban areas ndash over 500000 and less than 1 million population

a Percent changes were calculated using the numbers in this table and were not obtained from the source Rank is based on the calculated percent change with the highest number corresponding to a rank of 1

Points RankaPoints Ranka

19981995 1996 1997 19991994

Points change

2000 2001 2002

Long-term

1982-2003

Short-term

1998-2003

Table 1-64 Travel Time Index

Population

group Urban area 1982 1985 1990 1991 20031992 1993

Large Minneapolis-St Paul MN 103 106 112 112 114 116 120 122 123 130 132 135 132 134 134 134 2 42 31 11

Medium Nashville-Davidson TN 107 108 109 108 108 109 112 113 114 116 115 (R) 117 118 (R) 117 119 118 3 32 11 52

Medium New Haven CT 103 (R) 103 (R) 105 (R) 105 107 108 109 109 107 109 112 113 114 (R) 115 114 113 1 54 10 54

Large New Orleans LA 110 114 116 119 118 116 120 120 120 119 119 120 118 117 118 119 0 63 9 56

Very large New York-Newark NY-NJ-CT 113 116 131 128 127 128 131 133 134 136 136 140 138 138 140 139 3 32 26 17

Large Oklahoma City OK 102 103 103 104 104 104 104 106 107 109 109 111 109 110 111 110 1 54 8 62

Medium Omaha NE-IA 104 106 109 110 111 110 112 112 114 113 114 115 115 116 117 118 4 25 14 39

Large Orlando FL 109 115 116 119 119 121 120 121 122 124 127 127 128 (R) 130 (R) 131 130 3 32 21 26

Medium Oxnard-Ventura CA 104 107 110 109 110 110 114 115 116 114 (R) 115 119 119 121 (R) 121 123 8 11 19 28

Small Pensacola FL-AL 103 104 108 109 109 111 110 111 110 112 112 112 114 112 112 112 0 63 9 56

Very large Philadelphia PA-NJ-DE-MD 113 114 119 120 122 120 121 (R) 124 (R) 127 (R) 127 133 (R) 133 (R) 131 135 135 132 -1 70 19 28

Very large Phoenix AZ 113 115 122 124 127 127 128 124 130 133 131 138 138 140 135 135 4 25 22 25

Large Pittsburgh PA 108 109 110 109 109 109 109 110 110 110 111 112 110 110 110 110 -1 70 2 82

Large Portland OR-WA 105 107 116 117 120 124 125 128 131 135 134 137 137 139 138 137 3 32 32 9

Large Providence RI-MA 105 106 110 110 110 111 111 112 114 (R) 112 113 114 115 (R) 115 (R) 118 119 6 16 14 39

Medium Raleigh-Durham NC 105 107 (R) 111 109 (R) 111 112 113 114 113 115 115 (R) 114 116 119 118 119 4 25 14 39

Medium Richmond VA 103 103 105 106 106 107 108 111 111 (R) 109 109 109 107 107 108 109 0 63 6 70

Large Riverside-San Bernardino CA 104 108 124 127 129 127 123 126 128 127 131 133 133 132 (R) 134 137 6 16 33 5

Medium Rochester NY 101 102 103 104 104 104 104 105 105 106 105 106 106 106 106 107 2 42 6 70

Large Sacramento CA 107 109 120 120 118 119 122 121 124 123 (R) 125 (R) 127 (R) 129 (R) 132 (R) 134 137 12 2 30 13

Small Salem OR 102 102 104 105 105 106 107 106 107 107 108 108 108 109 111 111 3 32 9 56

Medium Salt Lake City UT 103 105 108 110 113 113 115 117 117 115 116 117 118 (R) 123 (R) 126 128 12 2 25 19

Large San Antonio TX 105 108 107 107 108 107 108 112 112 113 116 122 124 122 123 122 6 16 17 33

Large San Diego CA 106 109 124 122 123 122 122 122 123 125 126 132 132 132 (R) 140 141 15 1 35 4

Very large San Francisco-Oakland CA 121 136 150 142 141 144 140 145 145 142 147 149 154 154 155 154 7 14 33 5

Large San Jose CA 118 130 144 141 134 134 133 134 133 130 134 139 142 143 139 137 3 32 19 28

Medium Sarasota-Bradenton FL 112 112 114 116 116 118 119 (R) 116 119 119 120 124 122 122 125 125 5 20 13 46

Large Seattle WA 107 113 129 133 (R) 135 135 134 136 136 140 139 (R) 140 135 135 (R) 136 138 -1 70 31 11

Small Spokane WA 102 103 104 104 105 108 108 106 106 107 108 108 108 107 107 108 0 63 6 70

Medium Springfield MA-CT 105 105 106 106 106 106 105 106 106 106 106 107 107 106 107 106 0 63 1 84

Large St Louis MO-IL 109 112 112 112 114 118 119 121 121 124 (R) 124 (R) 125 125 (R) 123 124 122 -2 76 13 46

Large Tampa-St Petersburg FL 119 121 126 129 129 130 132 132 131 129 128 129 127 131 131 133 5 20 14 39

Medium Toledo OH-MI 102 102 103 103 103 104 105 106 106 (R) 107 108 109 110 111 111 110 2 42 8 62

Medium Tucson AZ 106 106 111 113 113 114 115 115 115 119 (R) 120 (R) 120 119 (R) 122 (R) 128 131 11 6 25 19

Medium Tulsa OK 102 103 105 105 105 105 105 106 107 108 (R) 108 109 (R) 110 (R) 110 (R) 110 110 2 42 8 62

Large Virginia Beach VA 108 111 114 114 114 113 115 116 118 118 119 119 116 118 (R) 120 121 2 42 13 46

Very large Washington DC-VA-MD 118 123 133 135 137 138 137 140 144 143 146 147 144 146 150 151 5 20 33 5

NA 85-Area Average 112 116 128 127 128 128 127 129 131 132 134 135 134 135 137 137 3 NA 25 NA

NA Very Large Area Average (R) 118 (R) 123 (R) 140 (R) 139 (R) 139 (R) 138 (R) 137 140 (R) 143 (R) 143 (R) 146 (R) 146 (R) 145 (R) 147 (R) 149 148 2 NA 30 NA

NA Large Area Average 107 110 117 118 (R) 118 (R) 119 (R) 120 (R) 121 (R) 123 (R) 124 (R) 125 (R) 126 (R) 126 (R) 127 (R) 128 128 3 NA 21 NA

NA Medium Area Average 105 106 109 (R) 109 110 111 112 113 114 115 115 116 116 117 118 118 3 NA 13 NA

NA Small Area Average (R) 103 104 (R) 105 106 (R) 106 (R) 106 (R) 106 107 (R) 107 108 (R) 108 (R) 109 110 110 110 110 2 NA 7 NAKEY NA = not applicable R = revised

Very large urban areas ndash over 3 million populationLarge urban areas ndash over 1 million and less than 3 million population

a Rank is based on the calculated point change with the highest number corresponding to a rank of 1

Medium urban areas ndash over 500000 and less than 1 million populationSmall urban areas ndash less than 500000 population

Points RankaPoints Ranka

19981995 1996 1997 19991994

Points change

2000 2001 2002

Long-term

1982-2003

Short-term

1998-2003

Table 1-64 Travel Time Index

Population

group Urban area 1982 1985 1990 1991 20031992 1993

Texas Transportation Institute The 2005 Annual Urban Mobility Report (College Station TX 2005) Internet site httpmobilitytamuedu as of June 10 2005

SOURCE

NOTEThe Travel Time Index (TTI) is the ratio of peak period travel time to free flow travel time The TTI expresses the average amount of extra time it takes to travel in the peak relative to free-flow travel A TTI of 13 for example indicates a 20-minute free-flow trip will take 26 minutes during the peak travel time periods a 6-minute (30 percent) travel time penalty

Points Ranka Points Ranka

Medium Akron OH 050 054 068 069 071 076 079 078 081 084 085 085 086 085 085 086 089 087 1 62 37 29Medium Albany-Schenectady NY 042 045 057 058 062 063 064 064 067 069 070 071 073 075 076 078 081 081 8 15 39 22Medium Albuquerque NM 065 071 085 086 089 093 096 099 104 106 108 105 102 100 097 095 097 099 -3 78 34 38Medium Allentown-Bethlehem PA-NJ 064 068 076 078 083 087 090 092 096 098 098 098 097 095 093 092 095 095 -2 74 31 48Small Anchorage AK 075 075 072 072 071 070 072 071 070 070 071 072 073 075 076 076 076 076 3 48 1 85Very large Atlanta GA 083 093 102 104 106 111 118 121 125 129 131 135 136 135 135 136 136 134 -2 74 51 9Medium Austin TX 074 081 090 090 088 088 090 093 098 100 103 106 111 115 114 114 114 116 5 38 42 18Small Bakersfield CA 050 057 065 067 069 068 070 071 072 074 077 078 075 076 078 078 081 083 8 19 33 42Large Baltimore MD 075 081 095 096 096 097 099 102 102 103 104 105 109 112 118 120 120 121 12 9 46 15Small Beaumont TX 056 057 061 063 064 064 064 065 068 068 068 070 071 073 075 075 076 078 7 22 22 72Medium Birmingham AL 059 065 074 075 075 077 080 082 085 088 091 093 094 094 095 097 098 100 6 26 41 19Very large Boston MA-NH-RI 081 090 105 105 106 105 105 106 107 108 110 111 111 111 110 110 111 111 0 66 30 51Small Boulder CO 073 075 079 082 084 085 087 088 088 090 088 090 091 090 092 091 091 090 -1 70 17 78Medium Bridgeport-Stamford CT-NY 080 091 098 095 098 098 098 101 101 103 106 107 109 112 115 114 116 117 8 20 37 32Small Brownsville TX 053 053 062 062 064 067 066 069 071 071 074 078 081 081 083 082 084 078 -3 78 25 65Large Buffalo NY 048 050 056 057 059 060 062 062 062 065 067 069 071 071 071 073 073 073 2 53 25 65Small Cape Coral FL 094 092 087 087 090 098 106 114 115 111 114 113 111 111 115 119 123 123 12 9 29 56Small Charleston-North Charleston SC 085 089 094 095 098 099 102 101 100 101 104 104 105 103 105 108 108 108 3 48 23 70Medium Charlotte NC-SC 078 089 091 091 090 087 086 086 093 100 099 103 107 108 110 109 110 111 4 39 33 40Very large Chicago IL-IN 081 089 103 104 102 101 103 108 114 113 117 117 118 120 123 124 128 128 10 12 47 13Large Cincinnati OH-KY-IN 066 074 088 087 087 092 097 097 100 106 107 106 107 104 106 106 104 106 -1 70 40 20Large Cleveland OH 073 069 083 084 085 088 089 090 091 093 094 095 094 091 089 089 091 090 -4 81 17 78Small Colorado Springs CO 050 056 061 060 062 064 066 070 072 077 080 083 086 088 087 085 081 088 2 53 38 26Small Columbia SC 057 065 073 073 074 074 075 077 077 079 081 084 087 088 088 089 089 090 3 48 33 40Large Columbus OH 060 068 086 087 089 093 095 098 102 104 104 103 102 107 107 108 110 109 7 22 49 10Small Corpus Christi TX 055 063 068 067 066 064 065 065 067 071 071 071 070 071 071 072 075 075 5 32 20 75Very large Dallas -Fort Worth-Arlington TX 071 082 095 096 096 096 096 096 097 102 104 107 111 113 113 118 120 126 15 3 55 6Medium Dayton OH 080 079 085 085 084 088 082 089 090 091 091 090 089 089 089 090 095 093 4 39 13 81Large Denver-Aurora CO 082 083 089 091 092 095 098 103 107 109 113 116 117 117 115 116 113 118 1 62 36 33Very large Detroit MI 091 096 106 108 112 113 112 113 115 115 116 117 119 121 122 123 123 124 5 32 33 42Medium El Paso TX-NM 060 066 071 076 080 081 083 083 083 084 087 091 094 097 099 101 105 107 13 6 47 12Small Eugene OR 069 070 075 075 075 079 078 080 082 083 085 088 091 088 088 092 092 093 2 53 24 67Medium Fresno CA 068 073 080 081 082 083 082 084 086 087 090 091 094 091 092 091 091 094 0 66 26 64Medium Grand Rapids MI 056 061 071 074 080 086 085 084 084 086 088 087 086 086 085 084 084 085 -1 70 29 58

Urban areaPopulation

group 1991 2004 200519991995 19981994 20001997199619931992199019851982

Table 1-65 Annual Roadway Congestion IndexPoints change

Long-term 1982-2005

Short-term 2000-2005

200320022001

Points Ranka Points RankaUrban areaPopulation

group 1991 2004 200519991995 19981994 20001997199619931992199019851982

Table 1-65 Annual Roadway Congestion IndexPoints change

Long-term 1982-2005

Short-term 2000-2005

200320022001Medium Hartford CT 058 063 070 073 087 078 079 081 082 084 086 089 092 092 093 093 094 095 3 52 37 29Medium Honolulu HI 082 088 104 104 106 106 108 108 108 106 106 106 104 104 104 106 107 108 4 39 26 62Very large Houston TX 099 105 100 096 095 097 099 102 104 107 110 114 113 121 128 129 125 127 14 4 28 59Large Indianapolis IN 080 083 094 097 102 105 111 117 117 120 117 117 118 119 118 118 118 116 -2 74 36 35Medium Jacksonville FL 079 083 094 094 095 095 097 098 101 100 100 100 102 101 103 106 109 110 8 15 31 46Large Kansas City MO-KS 053 064 074 074 076 080 081 082 083 081 081 082 082 082 082 081 079 080 -2 73 27 61Small Laredo TX 041 045 047 050 051 052 054 058 064 063 063 067 066 071 071 074 074 076 10 14 35 36Large Las Vegas NV 069 066 094 097 102 109 109 110 111 108 109 114 118 116 120 124 128 131 13 6 62 3Small Little Rock AR 054 060 070 073 071 072 075 077 079 079 082 085 083 086 082 083 087 088 5 32 34 38Very large Los Angeles-Long Beach-Santa Ana CA 121 125 157 156 154 152 149 151 154 153 153 153 154 154 155 155 158 158 4 39 37 28Medium Louisville KY-IN 083 082 083 089 094 098 101 102 104 107 109 110 110 109 112 114 116 114 4 47 31 48Medium Memphis TN-MS-AR 074 069 082 081 083 085 088 090 091 090 091 092 093 095 096 097 097 095 2 61 21 73Very Large Miami FL 076 082 099 100 104 106 109 113 114 117 121 126 133 134 136 138 138 139 6 31 63 2Large Milwaukee WI 065 075 089 090 090 088 088 091 094 095 096 099 100 098 096 097 098 095 -5 82 30 54Large Minneapolis-St Paul MN 065 073 085 087 090 093 100 102 103 108 111 114 116 119 117 118 116 117 1 62 52 8Medium Nashville-Davidson TN 082 080 085 084 085 084 090 092 091 093 092 093 095 097 098 101 102 101 6 26 19 76Medium New Haven CT 063 068 080 079 083 083 081 081 081 085 088 092 094 097 100 099 098 100 6 26 37 29Large New Orleans LA 086 091 089 089 089 088 093 094 091 092 096 096 094 093 094 094 095 096 2 53 10 83Very large New York-Newark NY-NJ-CT 073 080 091 090 090 092 093 095 097 101 102 105 106 106 108 113 114 113 7 25 40 21Large Oklahoma City OK 063 069 070 072 073 077 077 081 083 085 086 088 087 089 089 089 089 089 2 53 26 63Medium Omaha NE-IA 061 066 075 075 080 080 080 081 084 083 085 087 089 091 094 094 093 093 4 39 32 44Large Orlando FL 072 083 096 099 098 096 098 100 103 107 110 112 116 122 120 120 120 120 4 39 48 11Medium Oxnard-Ventura CA 083 097 115 113 114 115 120 120 121 120 120 122 122 126 126 126 126 126 4 39 43 16Small Pensacola FL-AL 071 074 086 083 088 091 092 097 099 103 099 100 101 099 102 105 107 109 8 15 38 25Very large Philadelphia PA-NJ-DE-MD 083 085 095 092 094 092 094 095 095 099 101 103 104 107 109 109 110 112 8 15 29 55Very large Phoenix AZ 103 102 101 100 103 104 103 107 111 110 114 119 125 126 123 125 130 132 7 22 29 56Large Pittsburgh PA 067 069 076 075 074 073 073 075 075 075 076 077 077 078 079 080 080 079 2 53 12 82Large Portland OR-WA 087 089 100 101 103 105 107 111 115 118 118 120 121 120 120 120 122 123 2 53 36 33Large Providence RI-MA 055 054 070 070 070 072 073 075 077 078 085 087 088 091 091 093 094 094 6 30 39 23Medium Raleigh-Durham NC 063 075 085 085 087 086 088 092 092 095 094 094 096 096 098 097 099 101 5 32 38 26Medium Richmond VA 061 058 075 078 081 079 084 086 084 080 077 075 077 077 079 081 082 082 5 36 21 73Large Riverside-San Bernardino CA 076 089 114 117 116 114 111 116 117 115 119 124 126 129 136 143 145 144 18 1 68 1Medium Rochester NY 048 052 063 064 066 066 068 071 071 070 070 072 074 073 073 074 078 078 4 39 30 51Large Sacramento CA 075 088 110 110 108 108 110 112 116 113 117 119 123 126 129 131 135 136 13 6 61 4Small Salem OR 058 066 082 084 084 085 085 084 083 085 088 088 089 089 091 088 087 089 0 66 31 46Medium Salt Lake City UT 072 077 088 092 095 099 105 107 107 103 101 100 105 106 107 107 107 106 1 62 34 37Large San Antonio TX 068 078 075 075 077 078 082 086 089 092 096 101 104 103 105 106 110 110 6 26 42 17Large San Diego CA 083 093 123 122 122 120 121 122 122 122 123 128 133 137 137 137 142 141 8 20 58 5

Points Ranka Points RankaUrban areaPopulation

group 1991 2004 200519991995 19981994 20001997199619931992199019851982

Table 1-65 Annual Roadway Congestion IndexPoints change

Long-term 1982-2005

Short-term 2000-2005

200320022001Very large San Francisco-Oakland CA 101 113 131 130 129 130 129 131 132 133 134 136 138 135 139 140 139 140 2 53 39 23Large San Jose CA 103 110 123 123 120 116 118 119 119 118 119 123 135 137 136 136 133 133 -2 74 30 51Medium Sarasota-Bradenton FL 077 086 087 089 089 091 092 094 098 101 102 110 113 114 116 118 121 124 11 11 47 13Large Seattle WA 084 094 114 115 117 119 119 117 117 117 117 118 118 118 118 118 116 115 -3 78 31 48Small Spokane WA 053 059 064 067 071 075 075 075 075 076 077 077 076 076 075 076 073 070 -6 84 17 80Medium Springfield MA-CT 060 063 069 070 072 073 073 074 074 075 077 079 079 078 081 081 083 084 5 36 24 68Large St Louis MO-IL 084 089 086 084 088 092 099 104 105 105 103 103 102 101 100 096 094 091 -11 85 7 84Large Tampa-St Petersburg FL 104 109 113 118 117 118 118 116 114 114 113 112 113 117 120 121 126 127 14 4 23 71Medium Toledo OH-MI 054 061 065 064 068 072 078 081 086 088 089 089 091 091 090 087 088 086 -5 82 32 45Medium Tucson AZ 089 091 093 093 094 093 091 091 093 098 099 100 101 104 106 110 112 117 16 2 28 60Medium Tulsa OK 062 074 075 075 076 076 076 079 082 081 081 081 081 081 081 083 080 081 0 66 19 76Large Virginia Beach VA 078 082 085 083 083 084 087 089 092 095 096 098 099 099 102 102 102 102 3 48 24 68Very large Washington DC-VA-MD 083 101 105 106 112 115 121 122 124 124 125 124 125 128 131 134 134 135 10 12 52 7NA 85-Area Averageb 078 084 096 096 098 099 100 102 104 106 107 109 110 111 112 114 114 115 5 NA 37 NA

Small urban areas ndash less than 500000 population

a Rank is based on the calculated point change with the highest number corresponding to a rank of 1

Medium urban areas ndash over 500000 and less than 1 million population

b Average weighted by vehicle miles travled in city

KEY NA = not applicableVery large urban areas ndash over 3 million populationLarge urban areas ndash over 1 million and less than 3 million population

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Nov 20 2007

NOTE

The Roadway Congestion Index (RCI) is a measure of vehicle travel density on major roadways in an urban area An RCI exceeding 10 indicates an undesirable congestion level on an average on the freeways and principal arterial street systems during the peak period The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobility

Methodology and data sources have been changed in 2007 and applied retroactively to past years these figures are not comparable to those in past editions of NTS SOURCE

1998 Value

1999 Value

2000 Value

2001 Value

2002 Value

2003 Value

2004 Value

2005 Value

1998 Rank

1999 Rank

2000 Rank

2001 Rank

2002 Rank

2003 Rank

2004 Rank

2005 Rank

1998 Value

1999 Value

2000 Value

2001 Value

2002 Value

2003 Value

2004 Value

2005 Value

1998 Rank

1999 Rank

2000 Rank

2001 Rank

2002 Rank

2003 Rank

2004 Rank

2005 Rank

Medium Akron OH 208 209 206 197 186 176 192 185 69 71 74 73 75 78 78 80 57 59 60 59 57 56 64 62 66 68 68 69 73 73 72 75Medium Albany-Schenectady NY 152 161 183 197 210 241 290 300 76 77 75 73 71 71 68 68 39 42 49 53 58 67 83 86 72 73 72 72 71 70 69 68Medium Albuquerque NM 536 567 495 484 446 476 551 640 26 27 35 41 44 44 40 36 153 164 144 144 134 147 171 200 47 48 49 51 53 53 51 50Medium Allentown-Bethlehem PA-NJ 387 347 367 369 364 355 386 408 43 52 50 53 52 54 53 55 113 105 114 117 118 117 129 137 53 58 56 56 57 59 62 61Small Anchorage AK 152 152 153 174 179 171 176 176 76 78 79 76 76 79 80 82 19 20 20 24 25 25 27 27 78 79 80 80 79 81 80 81Very large Atlanta GA 1196 1175 1217 1215 1197 1138 1166 1177 1 1 1 1 1 2 2 2 1609 1682 1860 1978 2102 2181 2373 2581 4 4 4 5 5 5 5 6Medium Austin TX 546 618 662 735 709 739 785 909 22 18 18 14 17 19 22 13 200 235 263 309 311 334 360 422 38 36 33 31 33 35 36 31Small Bakersfield CA 131 134 130 136 165 181 226 259 79 81 82 83 80 77 74 72 25 27 27 29 37 43 56 66 77 77 77 77 75 75 76 73Large Baltimore MD 506 521 562 622 733 780 821 881 30 31 28 21 14 12 16 19 549 576 637 727 905 983 1043 1126 20 20 20 19 16 16 16 17Small Beaumont TX 107 126 135 147 177 168 188 202 82 82 81 82 77 80 79 78 12 14 15 17 21 21 23 25 83 82 82 82 82 83 82 82Medium Birmingham AL 446 461 476 499 518 552 597 625 37 40 38 39 39 36 37 37 148 157 165 175 186 202 220 234 49 49 48 48 47 47 47 47Very large Boston MA-NH-RI 544 563 601 638 698 729 836 895 23 28 21 20 21 20 15 17 1033 1071 1153 1242 1372 1443 1667 1820 13 13 12 12 12 12 13 12Small Boulder CO 235 247 255 267 253 248 266 277 67 68 66 68 70 69 71 70 13 14 14 15 14 15 16 17 82 82 84 84 84 84 84 84Medium Bridgeport-Stamford CT-NY 415 463 492 517 543 537 522 592 41 39 36 35 36 39 41 40 163 186 204 222 245 248 243 280 44 44 43 42 42 45 44 43Small Brownsville TX 75 86 101 115 118 127 134 138 85 85 85 85 85 85 85 85 5 7 8 10 10 11 12 13 85 85 85 85 85 85 85 85Large Buffalo NY 125 144 166 171 176 209 201 208 81 79 78 77 78 73 76 77 59 70 83 87 90 111 108 112 64 66 66 66 66 63 64 65Small Cape Coral FL 359 361 335 375 383 403 417 438 46 47 55 52 51 49 49 51 51 54 53 64 70 80 88 98 69 69 70 68 67 67 67 67Small Charleston-North Charleston SC 433 455 469 469 490 533 571 572 39 41 39 43 41 40 38 41 94 101 109 113 120 135 147 147 58 60 59 59 56 56 55 59Medium Charlotte NC-SC 507 568 670 704 767 780 859 875 29 25 16 17 12 12 12 20 161 189 239 266 316 335 389 409 45 41 35 34 31 34 32 32Very large Chicago IL-IN 581 585 584 602 704 745 818 906 17 22 24 23 18 18 18 15 2275 2341 2391 2522 3019 3221 3562 3968 3 3 3 3 3 3 3 3Large Cincinnati OH-KY-IN 443 430 463 444 458 481 482 502 38 42 40 44 43 43 46 45 324 331 370 371 395 433 436 459 28 29 28 30 29 28 30 30Large Cleveland OH 242 259 252 222 210 208 247 240 65 66 68 72 71 74 72 75 217 237 234 210 202 203 243 236 34 35 36 46 46 46 44 46Small Colorado Springs CO 272 329 384 408 402 393 372 492 60 57 47 46 47 50 56 46 58 73 92 100 102 101 97 132 65 64 63 64 64 65 65 62Small Columbia SC 182 209 239 251 260 280 294 304 71 71 70 70 69 65 67 67 37 43 51 55 59 65 69 73 73 72 71 70 69 71 71 71Large Columbus OH 469 469 461 481 488 518 599 620 36 37 42 42 42 41 36 38 252 262 266 290 306 337 393 408 31 32 32 32 34 33 31 33Small Corpus Christi TX 105 125 125 149 142 154 167 183 83 83 84 81 83 82 83 81 17 20 20 25 24 27 30 33 79 79 80 79 80 79 77 77Very Large Dallas-Fort Worth-Arlington TX 548 632 668 678 701 754 874 1046 21 16 17 18 20 16 11 6 1149 1386 1500 1582 1711 1897 2281 2747 9 9 9 10 10 9 6 4Medium Dayton OH 327 357 345 303 287 275 332 313 51 48 52 62 64 66 60 64 115 130 128 116 112 109 133 127 52 51 52 58 60 64 60 63Large Denver-Aurora CO 647 702 747 750 711 728 791 909 10 11 10 12 16 21 20 13 643 726 812 886 863 915 1006 1176 17 17 17 17 18 17 17 16Very large Detroit MI 790 821 832 891 936 976 995 1010 6 6 6 6 4 4 5 8 1512 1600 1654 1807 1933 2058 2121 2174 6 6 7 6 6 7 9 10Medium El Paso TX-NM 168 216 263 301 306 317 387 433 73 70 65 63 61 61 52 53 54 72 89 103 108 114 141 159 68 65 64 63 63 61 58 55Small Eugene OR 141 187 227 184 191 208 207 246 78 74 71 75 74 74 75 74 16 21 25 22 24 27 27 33 81 78 78 81 80 79 80 77Medium Fresno CA 354 392 404 364 360 352 355 381 48 44 45 54 54 56 57 56 97 110 116 106 112 113 116 127 57 55 55 62 60 62 63 63Medium Grand Rapids MI 360 374 373 376 364 375 414 427 45 46 48 51 52 52 50 54 93 100 104 110 111 117 132 138 59 62 60 60 62 59 61 60Medium Hartford CT 252 277 296 286 290 290 327 344 64 63 62 64 63 64 61 61 108 122 132 131 134 136 155 166 54 52 51 53 53 55 53 53Medium Honolulu HI 335 328 316 330 313 355 383 434 50 58 57 56 59 54 54 52 118 116 114 121 117 133 144 166 51 54 56 55 59 57 57 53Very large Houston TX 607 675 685 782 830 841 890 1012 14 13 14 11 9 9 8 7 1122 1288 1351 1610 1759 1809 1935 2225 11 10 10 9 9 10 10 9Large Indianapolis IN 778 756 781 793 818 830 857 836 7 9 8 9 10 10 13 22 398 395 415 431 455 469 487 478 23 25 25 26 26 26 28 28Medium Jacksonville FL 527 522 519 513 588 646 714 699 28 30 33 36 29 28 27 34 224 227 232 239 282 320 373 376 33 38 39 39 36 36 35 36Large Kansas City MO-KS 295 345 316 315 300 313 281 309 57 53 57 60 62 62 70 65 205 246 234 238 238 256 231 256 37 33 36 40 43 42 46 44Small Laredo TX 128 141 151 169 159 199 195 213 80 80 80 78 81 76 77 76 11 13 15 17 16 22 22 24 84 84 82 82 83 82 83 83Large Las Vegas NV 534 568 556 559 589 624 681 720 27 25 29 32 27 29 30 30 304 344 365 385 422 463 510 543 29 28 29 28 28 27 26 26Small Little Rock AR 192 221 207 242 193 229 301 305 70 69 73 71 73 72 65 66 31 36 36 42 35 42 60 62 75 75 75 75 76 76 75 75Very large Los Angeles-Long Beach-Santa Ana CA 1053 1122 1101 1176 1181 1171 1270 1374 2 2 2 2 2 1 1 1 6388 6928 6935 7521 7717 7831 8564 9324 1 1 1 1 1 1 1 1Medium Louisville KY-IN 634 671 678 612 675 711 799 804 12 15 15 22 22 23 19 25 266 288 297 276 313 340 388 395 30 31 31 33 32 32 33 35Medium Memphis TN-MS-AR 356 357 392 417 422 468 508 564 47 48 46 45 45 45 43 42 174 178 199 217 225 255 282 317 41 45 44 44 45 44 41 40Very Large Miami FL 552 632 688 735 768 806 847 903 19 16 13 14 11 11 14 16 1283 1527 1785 1979 2121 2305 2517 2730 8 8 5 4 4 4 4 5Large Milwaukee WI 307 334 340 324 319 327 344 354 55 55 53 57 58 59 59 59 207 232 244 241 246 256 271 282 36 37 34 38 41 42 42 42Large Minneapolis - St Paul MN 636 674 654 723 661 671 706 790 11 14 19 16 23 26 28 26 744 818 814 929 868 906 965 1100 16 16 16 16 17 18 18 18Medium Nashville-Davidson TN 480 518 556 579 633 686 719 751 34 33 29 27 24 25 26 28 179 206 234 258 302 346 375 404 39 39 36 35 35 31 34 34Medium New Haven CT 258 298 310 338 339 337 308 343 63 61 61 55 56 58 64 62 67 79 84 96 98 99 93 104 63 63 65 65 65 66 66 66Large New Orleans LA 319 335 316 309 309 319 322 345 53 54 57 61 60 60 63 60 175 187 180 179 181 189 192 208 40 43 47 47 48 48 49 49Very large New York-Newark NY-NJ-CT 541 607 563 567 589 660 784 888 24 20 27 30 27 27 23 18 3847 4424 4269 4399 4691 5397 6470 7383 2 2 2 2 2 2 2 2Large Oklahoma City OK 306 356 329 384 402 370 380 371 56 50 56 47 47 53 55 57 120 144 136 163 175 165 171 171 50 50 50 49 49 50 51 52

Table 1-66 Annual Highway Congestion CostAnnual congestion cost (2005 Dollars millions)

Population group Urban area

Annual congestion cost per peak traveler (2005 dollars)

Medium Omaha NE-IA 312 331 351 379 402 412 428 442 54 56 51 50 47 47 48 50 93 102 113 125 135 141 148 153 59 59 58 54 52 54 54 57Large Orlando FL 917 940 976 1038 981 961 970 983 3 3 3 3 3 5 7 9 518 549 603 675 665 677 703 738 22 22 21 21 21 21 22 22

Medium Oxnard-Ventura CA 338 356 432 509 540 553 629 727 49 50 44 38 37 35 34 29 92 117 123 148 161 170 197 229 61 53 53 50 50 49 48 48Small Pensacola FL-AL 286 302 315 316 344 382 409 445 58 60 60 58 55 51 51 49 42 46 49 52 59 68 76 83 71 71 72 73 69 69 70 69Very large Philadelphia PA-NJ-DE-MD 474 492 482 547 582 616 653 711 35 36 37 33 31 30 32 31 1142 1230 1258 1485 1643 1776 1901 2077 10 11 11 11 11 11 11 11Very large Phoenix AZ 633 700 706 787 743 774 821 981 13 12 12 10 13 14 16 10 770 917 983 1143 1116 1204 1342 1687 15 15 15 14 14 14 14 14Large Pittsburgh PA 241 269 251 267 269 267 284 285 66 64 69 68 67 67 69 69 213 242 232 252 259 265 284 285 35 34 39 36 38 41 40 41Large Portland OR-WA 551 594 597 602 576 605 647 704 20 21 22 23 32 32 33 33 381 428 447 472 466 514 562 625 24 23 23 24 25 25 25 25Large Providence RI-MA 262 309 336 380 414 455 486 507 62 59 54 48 46 46 45 44 158 191 211 242 270 303 328 344 46 40 42 37 37 37 37 38Medium Raleigh-Durham NC 431 465 510 534 585 578 628 671 40 38 34 34 30 33 35 35 150 169 197 222 254 270 308 347 48 47 45 42 40 40 38 37Medium Richmond VA 279 282 255 269 279 305 346 362 59 62 66 67 66 63 58 58 104 109 104 117 129 150 172 181 55 56 60 56 55 51 50 51Large Riverside-San Bernardino CA 537 580 566 583 622 694 886 961 25 24 26 26 25 24 9 12 379 428 438 475 542 636 837 955 25 23 24 23 23 22 20 20Medium Rochester NY 104 123 127 126 125 146 170 176 84 84 83 84 84 84 82 82 33 40 43 44 44 52 61 64 74 74 74 74 74 74 74 74Large Sacramento CA 505 532 548 584 576 616 704 755 31 29 31 25 32 30 29 27 346 379 407 454 483 557 653 729 27 27 26 25 24 24 23 23Small Salem OR 180 203 221 273 285 246 244 257 72 73 72 66 65 70 73 73 17 20 23 30 33 29 30 31 79 79 79 76 77 77 77 79Medium Salt Lake City UT 376 413 462 492 521 548 497 475 44 43 41 40 38 37 44 47 169 189 215 237 256 273 254 250 42 41 41 41 39 39 43 45Large San Antonio TX 400 493 594 563 561 564 661 706 42 35 23 31 35 34 31 32 249 313 388 375 387 410 493 530 32 30 27 29 30 30 27 27Large San Diego CA 599 707 727 825 899 864 1057 1065 15 10 11 8 6 8 3 5 803 978 1038 1213 1366 1354 1669 1708 14 14 14 13 13 13 12 13Very large San Francisco-Oakland CA 792 829 849 847 876 915 994 1121 5 5 5 7 8 6 6 3 1523 1622 1688 1716 1838 1947 2126 2414 5 5 6 8 8 8 8 7Large San Jose CA 718 836 856 910 884 912 883 973 9 4 4 4 7 7 10 11 597 715 747 806 796 834 812 899 18 18 18 18 19 20 21 21Medium Sarasota-Bradenton FL 327 377 368 380 391 405 434 450 51 45 49 48 50 48 47 48 85 101 102 110 118 128 145 156 62 60 62 60 57 58 56 56Large Seattle WA 807 812 766 738 724 755 776 866 4 8 9 13 15 15 24 21 1053 1089 1056 1055 1080 1181 1244 1413 12 12 13 15 15 15 15 15Small Spokane WA 161 173 171 157 157 147 145 143 74 75 77 80 82 83 84 84 26 29 29 27 28 28 28 28 76 76 76 78 78 78 79 80Medium Springfield MA-CT 157 168 174 163 169 165 174 198 75 76 76 79 79 81 81 79 48 52 55 54 58 58 62 71 70 70 69 71 71 72 73 72Large St Louis MO-IL 582 618 628 574 574 543 564 612 16 18 20 29 34 38 39 39 587 634 667 624 638 615 647 711 19 19 19 22 22 23 24 24Large Tampa-St Petersburg FL 557 585 584 654 702 749 789 809 18 22 24 19 19 17 21 24 524 567 592 692 766 839 959 1004 21 21 22 20 20 19 19 19Medium Toledo OH-MI 230 255 277 275 262 253 301 277 68 67 64 65 68 68 65 70 57 64 71 72 70 71 85 79 66 67 67 67 67 68 68 70Medium Tucson AZ 497 508 537 579 613 722 742 830 32 34 32 27 26 22 25 23 166 174 189 213 231 280 292 338 43 46 46 45 44 38 39 39Medium Tulsa OK 266 269 295 316 329 346 323 338 61 64 63 58 57 57 62 63 102 107 123 133 141 150 141 149 56 57 53 52 51 51 58 58Large Virginia Beach VA 494 521 452 512 516 508 518 550 33 31 43 37 40 42 42 43 361 393 352 412 426 425 438 468 26 26 30 27 27 29 29 29Very large Washington DC-VA-MD 761 819 823 892 930 1000 1042 1094 8 7 7 5 5 3 4 4 1440 1585 1596 1783 1927 2100 2210 2331 7 7 8 7 7 6 7 8NA 437-Area Average 505 541 539 571 592 607 657 707 NA NA NA NA NA NA NA NA 119 129 134 145 157 155 167 179 NA NA NA NA NA NA NA NANA 85-Area Average 578 618 622 652 673 698 759 824 NA NA NA NA NA NA NA NA 465 513 533 575 612 653 723 796 NA NA NA NA NA NA NA NANA Very Large Area Average 702 749 746 783 812 846 923 1014 NA NA NA NA NA NA NA NA 1868 2049 2106 2273 2431 2596 2880 3205 NA NA NA NA NA NA NA NANA Large Area Average 493 532 542 568 576 592 642 683 NA NA NA NA NA NA NA NA 375 417 439 475 498 528 582 628 NA NA NA NA NA NA NA NANA Medium Area Average 359 384 401 415 432 451 484 512 NA NA NA NA NA NA NA NA 119 132 141 151 163 175 192 206 NA NA NA NA NA NA NA NANA Small Area Average 211 232 244 258 263 276 293 318 NA NA NA NA NA NA NA NA 30 34 37 40 42 46 50 56 NA NA NA NA NA NA NA NA

SOURCE

Small urban areas - less than 500000 population

NOTES

KEY NA = not applicable R = revisedVery large urban areas - over 3 million population

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Nov 26 2007

The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobilityThe cost of congestion is estimated with a value for each hour of travel time and each gallon of fuel For a more detailed explanation of the formulas used see the source document

Large urban areas - over 1 million and less than 3 million populationMedium urban areas - over 500000 and less than 1 million population

Methodology and data sources have been changed in 2007 and applied retroactively to past years these figures are not comparable to those in past editions of NTS

Table 1-67 Amtrak On-Time Performance Trends and Hours of Delay by Cause1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

On-time performance total percent (weighted) 69 81 76 77 77 72 72 76 71 74 79 79 78 75 76 74 71 70 68 69Short distance (lt400 miles) percent 71 82 82 82 82 79 78 81 76 79 81 80 82 79 80 77 (R) 75 (R) 74 (R) 73 72Long distance (gt=400 miles) percent 64 78 53 59 61 47 49 57 49 53 59 55 55 52 52 53 (R) 41 (R) 42 (R) 30 40Hours of delay by cause totala N N 12126 21084 22847 32991 34729 25248 25056 25825 27289 29252 70396 83837 85932 88413 95162 95259 101522 101655Amtrakb N N 3565 5915 6433 8488 8538 5527 5193 5310 4796 4891 23337 27822 26575 25711 28328 25549 23968 22902Host railroadc N N 4244 7743 8229 12827 14319 11224 11438 12904 14202 16158 43881 52273 55090 57346 61256 64097 71387 72565Otherd N N 4316 7426 8185 11675 11871 8497 8425 7611 8291 8203 3176 3741 4266 5355 5577 5613 6166 6187KEY N = data do not exist R = revised

a Amtrak changed its method for reporting delays in 2000 Therefore the data for 2000 and following years are not comparable with prior yearsb Includes all delays that occur when operating on Amtrak owned tracks and all delays for equipment or engine failure passenger handling holding for connections train servicing and mailbaggage handling when on tracks of a host railroad c Includes all operating delays not attributable to Amtrak when operating on tracks of a host railroad such as track and signal related delays power failures freight and commuter train interference routing delays etc d Includes delays not attributable to Amtrak or other host railroads such as customs and immigrations law enforcement action weather or waiting for scheduled departure time

NOTES Host railroad is a freight or commuter railroad over which Amtrak trains operate for all or part of their tripNumbers may not add to totals due to roundingAll percentages are based on Amtraks fiscal year (October 1ndashSeptember 30) Amtrak trips are considered delayed based on the following chart

Delayed departure Trip length (miles) time (minutes)0-250 10251-350 15351-450 20451-550 25gt551 30

SOURCES 1980 Amtrak National Railroad Passenger Corporation Annual Report (Washington DC 1981)1985ndash99 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2000ndash07 Amtrak personal communication as of September 2008

Chapter 2Transportation Safety

Section AMultimodal

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL fatalities U U U U U U 47350 44321 42058 42827 43587 44568 44848 44474 43910 44084 44384 44941 (R) 45297 (R) 45101 (R) 44985 (R) 45565 (R) 44974 43032Air total 1286 1290 1456 1473 1382 1595 866 1005 989 811 1057 964 1093 724 671 681 764 1166 616 (R) 699 (R) 637 603 (R) 771 535US air carriera 499 261 146 124 1 526 39 (n) 50 33 1 239 168 380 8 1 12 92 (o) 531 0 22 14 22 50 1Commuter carrierb N N N 28 37 37 6 (n) 77 21 24 25 9 14 46 0 12 5 13 0 2 0 0 2 0On-demand air taxic N N N 69 105 76 51 78 68 42 63 52 63 39 45 38 71 60 35 42 64 18 16 43General aviationd 787 1029 1310 1252 1239 956 770 800 867 744 730 735 636 631 625 619 596 562 581 (R) 633 (R) 559 563 (R) 703 491Highway total 36399 47089 52627 44525 51091 43825 44599 41508 39250 40150 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 43510 42708 41059Passenger car occupants N N N 25929 27449 23212 24092 22385 21387 21566 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 19192 18512 (R) 17925 16520Motorcyclists 790 1650 2280 3189 5144 4564 3244 2806 2395 2449 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 4576 (R) 4837 5154Truck occupantse light N N N 4856 7486 6689 8601 8391 8098 8511 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 13037 (R) 12761 12413Truck occupantse large N N N 961 1262 977 705 661 585 605 670 648 621 723 742 759 754 708 689 726 766 804 805 802Bus occupants N N N 53 46 57 32 31 28 18 18 33 21 18 38 59 22 34 45 41 42 58 27 37Pedestrians 7210 7990 8950 7516 8070 6808 6482 5801 5549 5649 5489 5584 5449 5321 5228 4939 4763 4901 4851 4774 4675 4892 (R) 4795 4654Pedalcyclists 490 690 760 1003 965 890 859 843 723 816 802 833 765 814 760 754 693 732 665 629 727 786 (R) 772 698Otherf 27909 36759 40637 1018 669 628 584 590 485 536 516 501 611 573 540 596 591 581 642 729 732 845 (R) 786 781Railroad totalg 2345 2533 2225 1492 1417 1036 1297 1194 1170 1279 1226 1146 1039 1063 1008 932 937 971 951 (R) 865 (R) 891 (R) 883 (R) 902 845

Highway-rail grade crossingh 1421 1610 1440 917 833 582 698 608 579 626 615 579 488 461 431 402 425 421 357 334 (R) 371 (R) 358 368 335Railroad 924 923 785 575 584 454 599 586 591 653 611 567 551 602 577 530 512 550 594 (R) 531 (R) 520 (R) 525 (R) 534 510

Transit totali N N N N N N 339 300 273 281 320 274 264 275 286 299 295 267 280 234 248 236 (R) 227 214Highway-rail grade crossingj N N N N N N N N N N N 17 7 12 26 21 20 13 24 21 29 23 (R) 21 27Transit N N N N N N N N N N N 257 257 263 260 278 275 254 256 213 219 213 206 187

Waterborne totalk N N 2016 2039 1847 1377 1051 1010 1032 1026 992 1016 906 989 1033 928 888 828 857 807 759 777 797 769Vessel-relatedl N N 178 243 206 131 85 30 97 105 77 53 55 48 69 58 53 53 66 54 48 45 48 52Not related to vessel casualtiesl N N 420 330 281 130 101 56 119 121 131 134 142 120 149 136 134 94 41 50 35 35 39 32Recreational boatingm 739 1360 1418 1466 1360 1116 865 924 816 800 784 829 709 821 815 734 701 681 750 703 676 697 710 685

Pipeline total N N 30 15 19 33 9 14 15 17 22 21 53 10 21 22 38 7 12 12 23 16 19 15Hazardous liquid pipeline N N 4 7 4 5 3 0 5 0 1 3 5 0 2 4 1 0 1 0 5 2 0 4Gas pipeline N N 26 8 15 28 6 14 10 17 21 18 48 10 19 18 37 7 11 12 18 14 19 11

k Vessel-related casualties include those involving damage to vessels such as collisions or groundings Fatalities not related to vessel casualties include deaths from falling overboard or from accidents involving onboard equipment

l 1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 and 2003 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable m Data are based on information provided by the States the District of Columbia and the five US Territories to the Coast Guard Boating Accident Report Database (BARD) system Research on the level of underreporting of fatal accidents in the BARD based on discrepancies between the BARD and the Coast Guard Search and Rescue Management Information System (SARMIS) found that approximately 6 percent of recreational boating fatalities are not captured by the BARD system Adjusting the number of recreational boating fatalities included in the BARD in 2001 by 6 percent increases the total to 722

i Fatalities include those resulting from all reportable incidents not just from accidents

j Includes motor bus commuter rail heavy rail light rail demand response van pool and automated guideway Fatalities occurring at highway-rail crossings resulting from operations of public transit rail modes including commuter rail Data for fatalities at light rail grade crossings are 1995 (7) 1996 (3) 1997 (3) 1998 (10) 1999 (7) 2000 (12) 2001 (1) 2002 (1) 2003 (4) 2004 (9)

Numbers may not add to the total because some fatalities are counted in more than one mode Total fatalities is derived from table 2-4 and earlier editions of this table To avoid double counting the following adjustments are made most (not all) highway-rail grade-crossing fatalities have not been added because most (not all) such fatalities involve motor vehicles and thus are already included in highway fatalities for transit all commuter rail fatalities and motor-bus trolley-bus demand-responsive and van-pool fatalities arising from accidents have been subtracted because they are counted as railroad highway or highway-rail grade-crossing fatalities The reader cannot reproduce the total fatalities in this table by simply leaving out the number of highway-rail grade-crossing fatalities in the and subtracting the above transit submodes because in so doing grade-crossing fatalities not involving motor vehicles would be left out (see table 2-35 on rail) An example of such a fatality is a bicyclist hit by a train at a grade crossing

KEY N = data do not exist R = revised U = data are not available

a Carriers operating under 14 CFR 121 all scheduled and nonscheduled service Since Mar 20 1997 14 CFR 121 include aircraft with 10 or more seats that formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent data In 2001 other than the persons aboard the aircrafts who were killed fatalities resulting from the September 11 terrorist acts are excludedb All scheduled service operating under 14 CFR 135 (commuter air carriers) Before Mar 20 1997 14 CFR 135 applied to aircraft with 30 or fewer seats Since Mar 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent data

f Includes occupants of other vehicle types and other nonmotorists For 1960-70 the US Department of Transportation National Highway Traffic Safety Administration did not break out fatality data to the same level of detail as in later years so fatalities for those years also include occupants of passenger cars trucks and buses

c Nonscheduled service operating under 14 CFR 135 (on-demand air taxis) d All operations other than those operating under 14 CFR 121 and 14 CFR 135 e Large trucks are defined as trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks are defined as trucks of 10000 pounds gross vehicle werating or less including pickups vans truck-based station wagons and utility vehicles

g Includes Amtrak Fatalities include those resulting from train accidents train incidents and nontrain incidents Railroad fatality data for 1970 and before is not comparable with post-1970 data due change in the reporting system h Fatalities occurring at highway-rail crossings resulting from freight and passenger rail operations including commuter rail Highway-rail grade crossing fatalities except train occupants are also counted under highway

o Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are excluded

NOTES

Table 2-1 Transportation Fatalities by Mode

n US air carrier figure does not include 12 persons killed aboard a commuter aircraft when it and a US Air airliner collided commuter air carrier figure does not include 22 persons killed aboard a US Air airliner when it and a commuter aircraft collided

Highway fatalities data prior to 1975 have been adjusted to reflect the Fatality Analysis Reporting Systems definition of a fatal crash as one that involves a motor vehicle on a trafficway that results in the death of a vehicle occupant or a nonmotorist within 30 days of the crash

1992-2007 US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication Oct 16 2008

US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety Accident and Incident Summary Statistics by Year available at httpopsdotgovstatsstatshtm as of Sept 19 2008

Recreational boating

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorg as of Sept 9 2008Hazardous liquid and gas pipeline

1993-2006 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) available at httptransit-safetyvolpedotgovdataSAMISasp as of Sept 10 2007

WaterVessel- and nonvessel-related

1970-91 US Department of Transportation US Coast Guard Office of Investigations and Analysis Compliance Analysis Division (G-MOA-2) personal communication Apr 13 1999

2007 Ibid Personal Communication as of Oct 30 2008

Highway-rail grade crossingUS Department of Transportation Federal Transit Administration Office of Program Management personal communication Aug 28 2007Transit

1990-92 US Department of Transportation Federal Transit Administration Safety Management Information Statistics 1999 (Washington DC 2001) p 41

Transit

1991-07 Ibid Railroad Safety Statistics available at httpsafetydatafradotgovofficeofsafety as of Sep 9 2008Railroad1960-65 National Safety Council Accident Facts 1974 (Washington DC 1974)1970-90 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table 7

1965-70 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1975 NTSBARC-771 (Washington DC January 1977)

1985-90 Ibid Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table S

1991-07 Ibid Railroad Safety Statistics available at httpsafetydatafradotgovofficeofsafety as of Sep 9 2008

1980 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) tables 2 and 161985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 5 as of Sept 9 2008

1970-2005 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts (Annual Editions) available at httpwww-nrdnhtsadotgovcatsindexaspx as of December 2008

Rail

On-demand air taxi

1960-70 National Safety Council Accident Facts 1974 (Washington DC 1974)1975-80 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development personal communication

The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade The Federal Transit Administration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

Caution must be exercised in comparing fatalities across modes because significantly different definitions are used In particular rail and transit fatalities include incident-related (as distinct from accident-related) fatalities such as fatalities from falls in transit stations or railroad employee fatalities from a fire in a workshed Equivalent fatalities for the air and highway modes (fatalities at airports not caused by moving aircraft or fatalities from accidents in automobile repair shops) are not counted toward the totals for these modes Thus fatalities not necessarily directly related to in service transportation are counted for the transit and rail modes potentially overstating the risk for these modes

Commuter1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1980 NTSBARC-8301 (Washington DC January 1983) tables 26 and 40

US Air Carrier

1975 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1983 NTSBARC-8701 (Washington DC February 1987) table 18

SOURCESAir

Highway-rail grade crossing

1985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 9 as of Sept 9 2008 General aviation

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

2006-2007 ibid FARS General Trends available at httpwww-farsnhtsadotgovMainreportslinksaspx as of Oct 27 2008

Highway

1960-65 US Department of Transportation National Highway Traffic Safety Administration from data supplied by US Department of Health and Human Services National Center for Health Statistics and individual state accident reports (adjusted to 30-day deaths)

1960 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1967 (Washington DC December 1968)

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21 1985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 10 as of Sept 9 2008

1985-2006 Ibid available at wwwntsbgovaviationaviationhtm table 8 as of Sept 9 2008

1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 61

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001n 2002 2003 2004 2005 2006 2007TOTAL injured persons U U U U U U U U 3147561 3223298 3345263 3539389 3554305 3417846 3262309 3305649 3259673 3100080 2958911 2918528 2818446 2728327 2604648 UAira total

US air carrierb N N 107 81 19 30 29 26 22 19 31 25 77 43 30 67 29 19 (R) 24 (R) 31 (R) 20 (R) 14 (R) 9 15Commuter carrierc N N N N 14 14 11 31 7 2 6 17 2 1 2 2 7 4 0 1 0 0 1 0On-demand air taxid N N N N 43 44 36 26 19 24 32 14 22 23 10 15 12 24 16 12 17 (R) 23 16 20General aviatione N N 715 769 681 501 409 432 408 385 415 396 366 350 327 322 309 321 297 323 266 (R) 267 (R) 264 260

Highway total N N N N N N 3230666 3096870 3069603 3149164 3265928 3465279 3483319 3347614 3192035 3236238 3188750 3032672 2925758 2888601 2788378 2699000 2575000 UPassenger car occupants N N N N N N 2376439 2234594 2231703 2264809 2363595 2469358 2458080 2340612 2201375 2137503 2051609 1926625 1804788 1756495 1642549 1573000 1475000 UMotorcyclists N N N N N N 84285 80435 65099 59436 57405 57480 55281 52574 48974 49986 57723 60236 64713 67103 76379 87000 88000 UTruck occupantsf light N N N N N N 505144 562601 544657 600874 631411 722496 761478 754820 762506 846865 886566 860527 879338 889048 900171 872000 857000 UTruck occupantsf large N N N N N N 41822 28031 33778 32102 30208 30344 32760 30913 28767 32892 30832 29424 26242 26893 27287 27000 23000 UBus occupants N N N N N N 32691 20959 20144 17056 15767 19214 20291 16887 15559 21958 17769 15427 18819 18174 16410 11000 10000 UPedestrians N N N N N N 104805 88446 89184 94001 91987 85837 81797 77011 68955 85235 77625 77619 70664 69949 67985 64000 61000 UPedalcyclists N N N N N N 74903 67088 62691 67916 62489 66572 58158 57802 53379 51290 51160 45277 48011 46378 41086 45000 44000 UOtherg N N N N N N 10578 14716 22348 12969 13065 13977 15473 16995 12519 10509 15466 17536 13182 14561 16511 18000 18000 U

Railroad totalh 19480 25655 21206 53998 62246 34304 25143 23468 21383 19121 16812 14440 12558 11767 11459 11700 11643 10985 11103 (R) 9254 (R) 9187 (R) 9495 (R) 8690 9343Highway-rail grade crossingi 3367 3725 3272 3860 3550 2687 2407 2094 1975 1837 1961 1894 1610 1540 1303 1396 1219 1157 999 (R) 1034 (R) 1094 (R) 1049 (R) 1067 1043Railroad 16113 21930 17934 50138 58696 31617 22736 21374 19408 17284 14851 12546 10948 10227 10156 10304 10424 9828 10104 (R) 8220 (R) 8093 (R) 8446 (R) 7623 8300

Transit totalj N N N N N N 54556 52125 55089 52668 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 18327 UHighway-rail grade crossingk N N N N N N N N N N N 195 184 126 58 159 123 74 108 117 153 194 172 UTransit N N N N N N N N N N N 57001 55104 56006 55932 55166 56574 53871 19152 18118 18829 17937 18155 U

Waterborne totall N N U U U U U U 5356 5128 6144 6165 6064 5737 5321 4992 5112 5008 4856 4666 4066 4095 5245 4335Vessel-relatedm N N 105 97 180 172 175 110 170 171 182 154 254 120 130 152 150 210 192 227 198 140 177 167Not related to vessel casualtiesm N N U U U U U U 1503 1398 1878 1870 1368 1062 579 525 607 524 602 551 505 504 594 495Recreational boating 929 927 780 2136 2650 2757 3822 3967 3683 3559 4084 4141 4442 4555 4612 4315 4355 4274 4062 3888 3363 3451 4474 3673

Pipeline total N N 254 231 192 126 76 98 118 111 1971 64 127 77 81 108 81 61 49 71 60 (R) 48 32 43Hazardous liquid pipeline N N 21 17 15 18 7 9 38 10 1858 11 13 5 6 20 4 10 0 5 16 2 2 10Gas pipeline N N 233 214 177 108 69 89 80 101 113 53 114 72 75 88 77 51 49 66 44 (R) 46 31 43

e All operations other than those operating under 14 CFR 121 and 14 CFR 135

Table 2-2 Injured Persons by Transportation Mode

i Injuries occurring at highway-rail crossings resulting from freight and passenger rail operations including commuter rail Highway-rail grade crossing injuries except train occupants are also counted under highway

k Injuries occurring at highway-rail crossings resulting from operations of public transit rail modes including commuter rail Data for injuries at light rail crossings are 1995 (179) 1996 (171) 1997 (92) 1998 (42) 1999 (148) 2000 (111) 2001 (54) 2002 (76) 2003 (68) 2004 (76)l Vessel-related injuries include those involving damage to vessels such as collisions or groundings Injuries not related to vessel casualties include those from falls overboard or from accidents involving onboard equipment

KEY N = data do not exist R = revised U = data are not available

d Nonscheduled service operating under 14 CFR 135 (on-demand air taxis

j Includes motor bus commuter rail heavy rail light rail demand response van pool and automated guideway Transit injuries include those resulting from all reportable incidents not just from accidents Directly Operated (DO) modes only The drop in the number of injuries in 2002 is due largely to a change in definitions by the Federal Transit Administration Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously

m 1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 2003 and 2004 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable

a Injuries classified as serious See definitions of injuries in the glossary

h Includes Amtrak Figures include those injuries resulting from train accidents train incidents and nontrain incidents Injury figures also include occupational illness Railroad injury data for 1970 and before are not comparable with post-1970 data due to a change in the reporting system

c All scheduled service operating under 14 CFR 135 (commuter air carriers) Before March 20 1997 14 CFR 135 applied to aircraft with 30 or fewer seats Since March 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years data

b All scheduled and nonscheduled service operating under 14 CFR 121 Since March 20 1997 14 CFR 121 includes only aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years data

f Large trucks are defined as trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks are defined as trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehicg Includes occupants of other unknown vehicle types and other nonmotorist

n Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are exclude

Numbers may not add to total because some injuries are counted in more than one mode To avoid double counting the following adjustments have been made Most (not all) highway-rail grade crossing injuries have not been added because most (not all) such injuries involve motor vehicles and are already included in highway injuries

AirSOURCES

For transit all commuter rail injuries and motor-bus trolley-bus demand-responsive and van-pool injuries arising from accidents have been subtracted because they are counted as railroad highway or highway-rail grade crossing injuries

2000-06 Ibid available at httpsafetydatafradotgovofficeofSafetyQueryDefaultasp as of Sept 4 2007

1960-70 National Safety Council Accident Facts 1974 (Washington DC 1974)

Rail

1970-94 National Transportation Safety Board Annual Review of Aircraft Accident Data General Aviation (Washington DC Annual issues)

NOTES

The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade The Federal Transit Administration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

The motor vehicle injury data in this table come from the US Department of Transportation National Highway Traffic Safety Administrations General Estimates System (GES) The data from GES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or did not result in property damage

The reader cannot reproduce the total injuries count in this table by simply leaving out the number of highway-rail grade crossing injuries in the sum and subtracting the above transit submodes because in so doing grade-crossing injuries not involving motor vehicles would be left out (see table 2-35 on rail) An example of such an injury is a bicyclist injured by a train at a grade crossing

Highway-rail grade crossings

Highway1995-2007 Ibid Analysis and Data Division personal communication October 2008

Water

1990-99 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 1999 DOT HS 809 100 (Washington DC December 2000) table 4

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-1

2005-06 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts (Washington DC Annual Issues) table 4

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-1

2006 US Department of Transportation Research and Innovative Technology Administration Volpe Center Transit Safety and Security Statistics and Analysis Program personal communication Sept 7 2007

Transit

Recreational boating

2000-04 Ibid General Estimates System Database and personal communication Dec 9 2003 Oct 12 2004 Apr 20 2006

1975 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development personal communication

Railroad1960-70 National Safety Council Accident Facts 1974 (Washington DC 1974)

1970-91 US Department of Transportation US Coast Guard Office of Investigations and Analysis Compliance Analysis Division (G-MOA-2) personal communication Apr 13 1999

1992-2007 US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication October 2008

US Department of Transportation Federal Transit Administration Office of Program Management personal communication as of June 8 2006Highway-rail grade crossings

2000-07 Ibid available at httpsafetydatafradotgovofficeofSafetyQueryDefaultasp as of November 2008

Hazardous liquid and gas pipeline

1980-91 Ibid Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table S

1970-2007 US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Accident and Incident Summary Statistics by Year available at httpopsdotgov as of November 2008

1970-91 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington

Transit

1990-92 US Department of Transportation Federal Transit Administration Safety Management Information Statistics (Washington DC Annual issues)1993-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) available at httptransit-safetyvolpedotgovdataSAMISasp as of Sept 4 2007

Vessel- and nonvessel-related

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at available at httpwwwuscgboatingorg as of November 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Air 4883 5279 4767 4232 3818 2935 2388 2334 2228 2172 2140 2179 2046 1991 2040 2043 1985 1852 1823 1869 1717 1781 (R) 1607 1722

US air carriera 90 83 55 37 19 21 24 26 18 23 23 36 37 49 50 51 56 46 41 54 30 40 (R) 33 26Commuter carrierb N N N 48 38 18 15 23 23 16 10 12 11 16 8 13 12 7 7 2 4 6 3 3On-demand air taxic N N N 152 171 157 107 88 76 69 85 75 90 82 77 74 80 72 60 (R) 73 66 (R) 65 (R) 53 62General aviationd 4793 5196 4712 3995 3590 2739 2242 2197 2111 2064 2022 2056 1908 1844 1905 1905 1837 1727 1715 (R) 1740 1617 (R) 1670 (R) 1518 1631

Highway total crashese N N N N N N 6471000 6117000 6000000 6106000 6496000 6699000 6770000 6624000 6335000 6279000 6394000 6323000 6316000 6328000 6181000 6159000 5973000 UPassenger car N N N N N N 5560592 5178450 5042203 5040116 5401164 5593685 5598699 5423286 5146124 4915734 4926243 4831842 4802056 4746620 4557453 4498869 4341688 UMotorcycle N N N N N N 103114 105030 72177 74565 68752 66354 66224 61451 54477 57322 68783 73342 76004 79131 85557 100686 101474 UTruckf light N N N N N N 2152486 2200134 2191171 2407212 2573701 2749596 2880782 2900896 2866729 3079617 3207738 3254105 3272326 3345367 3370062 3381985 3355291 UTruckf large N N N N N N 371801 318637 362807 383220 444697 362883 378335 421377 391807 452444 437861 409372 416477 436161 399156 423016 367920 UBus N N N N N N 60412 56285 49705 51353 55818 58847 57185 53376 53385 62591 55594 54264 57958 57674 52148 50427 51554 U

Railroad totalg N N 11654 20117 18817 10194 8594 8046 7269 7503 7483 7092 6700 6262 6083 6257 6485 6260 5815 (R) 5994 (R) 6459 (R) 6319 (R) 5905 5399Highway-rail grade crossingh 3195 3820 3559 12076 10612 6919 5715 5388 4910 4892 4979 4633 4257 3865 3508 3489 3502 3237 3077 2977 (R) 3079 (R) 3058 (R) 2937 2752Railroadi N N 8095 8041 8205 3275 2879 2658 2359 2611 2504 2459 2443 2397 2575 2768 2983 3023 2738 (R) 3017 (R) 3380 (R) 3261 (R) 2968 2647

Transit totalj N N N N N N 58002 46467 36380 30559 29972 25683 25166 24924 23937 23310 24261 23891 13968 7793 7842 8151 8851 9398Highway-rail grade crossingk N N N N N N N N N N N 127 134 119 106 140 148 101 190 125 178 148 141 174Transitl N N N N N N N N N N N 25556 25032 24805 23831 23170 24113 23790 13778 7668 7664 8003 8710 9224

Waterborne total N N 6385 9618 10137 9676 10024 8795 11631 12461 13649 13368 13286 13551 13828 13457 13143 11377 11713 10601 9866 9946 10367 UVessel-relatedm N N 2582 3310 4624 3439 3613 2222 5583 6126 6743 5349 5260 5504 5767 5526 5403 4958 6008 5163 4962 4977 5400 URecreational boating 2738 3752 3803 6308 5513 6237 6411 6573 6048 6335 6906 8019 8026 8047 8061 7931 7740 6419 5705 5438 4904 4969 4967 5191

Pipeline total N N 1428 1592 1770 517 378 449 389 445 467 349 381 346 389 339 380 341 331 370 443 (R) 490 (R) 407 402Hazardous liquid pipeline N N 351 254 246 183 180 216 212 229 245 188 194 171 153 167 146 130 147 131 144 138 (R) 120 116Gas pipeline N N 1077 1338 1524 334 198 233 177 216 222 161 187 175 236 172 234 211 184 239 299 (R) 352 (R) 287 286

Table 2-3 Transportation Accidents by Mode

The motor vehicle crash data in this table come from the US Department of Transportation National Highway Traffic Safety Administrations General Estimates System (GES) which began operation in 1988 GES data are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or did not result in property damage

j Accident figures include collisions with vehicles objects and people derailments vehicles going off the road Accident figures do not include fires and personal casualties The drop in the number of accidents in 2002 is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Directly Operated (DO) modes only

m 1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 and 2003 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable

k Accidents occurring at highway-rail grade crossings resulting from operations of public transit rail modes including commuter rail Data for light rail crossings are 1995 (98) 1996 (1997 (66) 1998 (66) 1999 (103) 2000 (106) 2001 (54) 2002 (112) 2003 (66) 2004 (107)l Accidents occurring at highway-rail grade crossings resulting from operations of public transit rail modes excluding commuter rail

NOTES

The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade The Federal Transit Administration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

h Accidents and incidents occurring at highway-rail crossings resulting from freight and passenger rail operations including commuter rail Data not comparable after 1970 due to change in reporting system Most highway-rail grade crossing accidents are also counted under highwayi Train accidents only

f Large trucks are defined as trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks are defined as trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehiclesg Includes Amtrak Accidents and incidents resulting from freight and passenger rail operations including commuter rail Railroad accident data for 1970 and before are not comparawith post-1970 data due to a change in the reporting system

KEY N = data do not exist R = revised U = data are not available

e The US Department of Transportation National Highway Traffic Safety Administration uses the term crash instead of accident in its highway safety data Highway crashes often involve more than one motor vehicle hence total highway crashes is smaller than the sum of the components Estimates of highway crashes are rounded to the nearest thousand in the source document

a Carriers operating under 14 CFR 121 all scheduled and nonscheduled service Since Mar 20 1997 14 CFR 121 includes only aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years datab All scheduled service operating under 14 CFR 135 Since Mar 20 1997 14 CFR 121 includes only aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent years data c Nonscheduled service operating under 14 CFR 135d All operations other than those operating under 14 CFR 121 and 14 CFR 135

Total

Transit

2007 National Transportation Safety Board Aviation Accident Statistics Table 5 available at httpwwwntsbgovaviationStatshtm as of August 2008

2007 National Transportation Safety Board Aviation Accident Statistics Table 8 available at httpwwwntsbgovaviationStatshtm as of August 2008

2007 National Transportation Safety Board Aviation Accident Statistics Table 9 available at httpwwwntsbgovaviationStatshtm as of August 2008

1975 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1983 NTSBARC-8701 (Washington DC February 1987) table 18

Air carrier

1980 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) tables 2 and 16

Commuter air carrier

1985-2006 Ibid personal communication Sept 4 2007

1985-2006 Ibid personal communication Sept 4 2007

1970-90 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development AccidentIncident Bulletin (Washington DC Annual issues) table 4

2000-07 Ibid available at httpsafetydatafradotgovofficeofsafetyDefaultasp as of Dec 2 2005

US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts (Washington DC Annual Issues) table 1 available at httpwww-nrdnhtsadotgovcatsindexaspx as of October 2008

Railroad

US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-11985-90 Ibid Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) table S

RailHighway-rail grade crossings

1960-70 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development Rail-Highway Grade-Crossing Accidents (Washington DC Annual issues)1975-80 Ibid Office of Policy and Program Development personal communication

On-demand air taxi1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 61

1985-2006 Ibid personal communication Sept 4 2007

Passenger car motorcycle light truck large truck and bus

Highway

General aviation

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

2007 National Transportation Safety Board Aviation Accident Statistics Table 10 available at httpwwwntsbgovaviationStatshtm as of August 2008

1985-2006 Ibid personal communication Sept 4 2007

1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1980 NTSBARC-8301 (Washington DC January 1983) tables 26 and 40

1965-70 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1975 NTSBARC-771 (Washington DC January 1977) 1960 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1967 (Washington DC December 1968)

SOURCESAir

1970-2007 US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety Accident and Incident Summary Statistics by Year available at httpopsdotgov as of November 2008

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of September 4 2007Hazardous liquid and gas pipeline

Recreational boating

WaterVessel-related

1970-91 US Department of Transportation US Coast Guard Office of Investigations and Analysis Compliance Analysis Division personal communication Apr 13 19991992-2006 US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication June 8 2005

2006-2007 US Department of Transportation Research and Innovative Technology Administration Volpe Center Transit Safety and Security Statistics and Analysis Program personal communication Oct 20 2008

1991-99 Ibid Interim Railroad Safety Statistics Annual Report 2002 (Washington DC August 2003) table 1-1

Transit

1990-92 US Department of Transportation Federal Transit Administration Safety Management Information Statistics 2000 (Washington DC 2000) pp 51-54 and personal communication July 28 2003

2000-2007 Ibid available at httpsafetydatafradotgovofficeofsafetyDefaultasp as of November 2008

1993-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) available at httptransit-safetyvolpedotgovdataSAMISasp as of Sept 4 2007

Highway-rail grade crossingsUS Department of Transportation Federal Transit Administration Office of Program Management personal communication as of Sept 4 2007

Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number Percent Number PercentTOTAL of all modesa 44084 1000 44384 1000 44941 1000 (R) 45297 1000 (R) 45101 1000 (R) 44985 1000 (R) 45565 1000 (R) 44974 1000 43032 1000Passenger car occupants 20862 473 20699 466 20320 452 20569 454 19725 437 19192 427 18512 406 (R) 17925 399 16520 384Light-truck occupants 11265 256 11526 260 11723 261 12274 271 12546 278 12674 282 13037 286 (R) 12761 284 12413 288Pedestrians struck by motor vehicles 4939 112 4763 107 4901 109 4851 107 4774 106 4675 104 4892 107 (R) 4795 107 4654 108Motorcyclists 2483 56 2897 65 3197 71 3270 72 3714 82 4028 90 4576 100 (R) 4837 108 5154 120Large-truck occupants 759 17 754 17 708 16 689 15 726 16 766 17 804 18 805 18 802 19Pedalcyclists struck by motor vehicles 754 17 693 16 732 16 665 15 629 14 727 16 786 17 (R) 772 17 698 16Recreational boating 734 17 701 16 681 15 750 17 703 16 676 15 697 15 710 16 685 16Other and unknown motor vehicle occupants 447 10 450 10 458 10 528 12 589 13 602 13 659 14 (R) 601 13 629 15General aviation 619 14 596 13 562 13 581 13 (R) 633 14 (R) 559 12 563 12 (P) 703 16 (P) 491 11Railroad trespassersb (excluding grade crossings) 479 11 463 10 511 11 540 12 (R) 498 11 (R) 472 10 (R) 458 10 (R) 511 11 469 11Other nonoccupants struck by motor vehiclesc 149 034 141 032 123 027 114 025 140 031 128 028 186 041 (R) 185 041 152 035Grade crossings not involving motor vehiclesd 57 013 64 014 76 017 47 010 53 012 82 018 (R) 75 016 64 014 73 017Air taxi 38 009 71 016 60 013 35 008 42 009 64 014 18 004 16 004 (P) 43 010Heavy rail transit (subway) 84 019 80 018 59 013 73 016 49 011 59 013 35 008 32 007 30 007Waterborne transportation (nonvessel-related) 136 031 134 030 94 021 (R) 41 009 (R) 50 011 (R) 35 008 35 008 39 009 32 007Bus occupants (school intercity and transit) 59 013 22 005 34 008 45 010 41 009 42 009 58 013 27 006 37 009Waterborne transportation (vessel-related) 58 013 53 012 53 012 (R) 66 015 (R) 54 012 (R) 48 011 45 010 48 011 52 012Private grade crossings with motor vehicles 36 008 55 012 30 007 (R) 66 015 32 007 33 007 26 006 38 008 37 009Railroad employees contractors and volunteers on duty (excluding grade crossings) 31 007 22 005 23 005 22 005 20 004 25 006 28 006 19 004 21 005Light rail transit 17 004 30 007 21 005 13 003 17 004 22 005 19 004 13 003 20 005Railroad-related not otherwise specified (excluding grade crossings) 17 004 23 005 13 003 25 006 11 002 20 004 U U U U U UGas distribution pipelines 16 004 22 005 5 001 10 002 11 002 18 004 14 003 16 004 9 002Transit buses fatalities not related to accidentse 12 003 8 002 6 001 14 003 14 003 16 004 U U U U U UAir carriers 12 003 92 021 (h) 531 118 0 000 22 005 14 003 22 005 50 011 1 000Hazardous liquid pipelines 4 001 1 000 0 000 1 000 0 000 5 001 2 000 0 000 4 001Passengers on railroad trains (excluding grade crossings) 3 001 4 001 3 001 7 002 2 000 3 001 16 004 2 000 4 001Demand response transit fatalities not related to accidentse 0 000 0 000 2 000 0 000 3 001 0 000 U U U U U UCommuter air 12 003 5 001 13 003 0 000 2 000 0 000 2 000 2 000 (P) 0 000Gas transmission pipelines 2 000 15 003 2 000 1 000 1 000 0 000 0 000 3 001 2 000Other counts redundant with abovef

Large-truck occupants and nonoccupants 5380 NA 5282 NA 5111 NA 4939 NA 5036 NA 5235 NA 5212 NA 4995 NA U NAPublic grade crossings with motor vehicles 309 NA 306 NA 315 NA 271 NA 249 NA 257 NA 256 NA 266 NA 263 NACommuter rail 95 NA 87 NA 87 NA 116 NA 77 NA 86 NA 105 NA U NA 70 NATransit buses accident-related fatalities 90 NA 82 NA 89 NA 64 NA 73 NA 61 NA U NA U NA U NAOutside planes in crashesg 5 NA 14 NA 11 NA 6 NA 6 NA 1 NA U NA U NA U NADemand response transit accident-related fatalities 1 NA 8 NA 3 NA 0 NA 1 NA 0 NA U NA U NA U NA

Table 2-4 Distribution of Transportation Fatalities by Mode20072006

d Public grade-crossing fatalities involving motor vehicles are included in counts for motor vehicles

2005

c Includes all nonoccupant fatalities except pedalcyclists and pedestrians

f Fatalities at grade crossings with motor vehicles are included under relevant motor vehicle modes Commuter rail fatalities are counted under railroad For transit bus and demand responsive transit accidents occupant fatalities are counted under bus and nonoccupant fatalities are counted under pedestrians pedalcyclists or other motor vehicle categories

a Includes fatalities outside the vehicle unless otherwise specifiedb Includes fatalities outside trains except at grade crossings

KEY NA = not applicable P = preliminary R = revised

e Fatalities not related to transit bus and demand responsive transit accidents are not included under highway submodes

20042003200220001999 2001

AirNational Transportation Safety Board Aviation Accident Statistics available at wwwntsbgovaviationStatshtm as of Sept 9 2008

h Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are excluded

g Includes nonoccupant fatalities resulting from aviation accidents

SOURCES

US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis (Washington DC Annual issues) and personal communications Apr 22 2005 Apr 24 2006Sept 5 2007 and Oct 30 2008

US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Pipeline Incidents and Mileage Reports available at httpopsdotgovstatsstatshtm as of Sept 19 2008

Waterborne transportationUS Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication Oct 16 2008Recreational boatingIbid Office of Boating Safety Boating Statistics (Washington DC Annual issues)Pipeline

RailroadUS Department of Transportation Federal Railroad Administration Office of Safety and Analysis FRA AccidentIncident and Inspections Query available at httpsafetydatafradotgovofficeofsafetyQueryDefaultasp as of Sep 9 2008 Transit

Highway1999-2005 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2006 (Washington DC Annual Issues) tables 4 and 11 available at httpwww-nrdnhtsadotgovcatsindexaspx as of Feb 14 20072006-2007 ibid FARS General Trends available at httpwww-farsnhtsadotgov as of Oct 27 2008

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006 2007Fatalities a1440 917 833 582 698 608 579 626 615 579 488 461 431 402 425 421 357 334 372 358 369 339Injured persons 3272 3860 3890 2687 2407 2094 1975 1837 1961 1894 1610 1540 1303 1396 1219 1157 999 1035 (R) 1094 (R) 1046 1054 1003Accidents

a3559 12126 10796 7073 5715 5388 4910 4892 4979 4633 4257 3865 3508 3489 3502 3237 3077 2977 (R) 3078 (R) 3056 2934 2741

The Federal Railroad Administration recommended we no longer report property damage statistics as we had done in previous editions of NTS due to inconsistencies in the reporting of data

Table 2-5 Highway-Rail Grade-Crossing Safety

SOURCES

1970 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development Rail-Highway Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) tables S and 111970-2006 Ibid Internet site httpsafetydatafradotgovOfficeofSafety as of Apr 15 2008

KEY R = revised a 1970 data are not comparable to later years due to a change in the reporting system

NOTE

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total fatalities 27 19 8 8 10 16 15 11 7 120 12 13 9 16 12 10 15 16 34 6

Accident-related 21 14 7 7 10 15 14 11 6 7 10 8 7 11 8 9 9 15 29 6Air fatalities 0 0 0 0 0 0 0 0 0 110 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Highway fatalities 27 17 8 8 10 16 15 11 7 8 12 13 9 16 9 9 15 13 24 6

Accident-related 21 12 7 7 10 15 14 11 6 5 10 8 7 11 8 8 9 12 19 6Rail fatalities 0 2 0 0 0 0 0 0 0 2 0 0 0 0 3 1 0 3 10 0

Accident-related 0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 3 10 0Watera fatalities 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb fatalities 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Total injured persons 648 626 253 423 439 604 627 577 400 1175 221 195 265 251 168 136 119 288 (R) 950 233

Accident-related 168 47 16 18 40 98 62 111 18 864 16 13 15 16 12 15 16 96 (R) 700 13Air injured persons 5 8 4 39 31 23 50 57 33 33 24 20 12 5 13 4 1 11 78 2

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Highway injured persons 527 493 195 311 333 465 511 425 296 216 152 151 218 164 109 118 105 155 (R) 179 192

Accident-related 156 43 9 9 27 34 61 95 14 22 11 9 15 15 12 14 16 12 (R) 45 11Rail injured persons 99 121 53 73 75 116 66 95 71 926 45 22 35 82 46 14 13 122 (R) 693 24

Accident-related 12 4 7 9 13 64 1 16 4 842 5 4 0 1 0 1 0 84 655 2Watera injured persons 2 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 15

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb injured persons 15 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Total incidents 10951 15719 6019 8879 9110 9393 12838 16105 14853 14077 14065 15495 17616 17557 17792 15114 15156 14846 (R) 15929 (R) 20338

Accident-related 440 486 364 297 303 283 266 296 303 338 320 332 398 394 413 362 342 329 382 (R) 356Air incidents 147 223 114 297 299 414 622 931 817 925 1029 1387 1582 1419 1083 732 750 993 1654 (R) 2411

Accident-related 0 0 0 0 0 1 0 0 0 0 1 3 2 3 2 2 0 0 9 7Highway incidents 10063 14161 4752 7296 7644 7843 11095 14011 12869 12034 11929 13108 14953 15063 15804 13502 13594 13071 (R) 13461 (R) 17155

Accident-related 330 347 302 249 249 245 217 244 253 294 267 277 331 329 357 319 300 283 322 (R) 305Rail incidents 694 1271 842 1279 1155 1128 1113 1157 1155 1112 1102 989 1073 1058 899 870 802 765 745 704

Accident-related 109 134 61 48 54 36 49 52 50 44 52 52 65 62 54 41 42 46 51 44Watera incidents 28 34 7 7 12 8 8 6 12 6 5 11 8 17 6 10 10 17 69 68

Accident-related 0 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb incidents 19 30 304 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 1 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0Total property damage (current $ thousands)c 8090 10829 22993 32353 38351 36229 22817 44196 30900 46849 33533 46312 65369 78132 69442 58177 53597 63282 (R) 55908 (R) 70475

Accident-related 6051 6236 20268 24792 30184 28708 13179 25552 23602 37775 25318 37049 51710 62636 56546 41113 40824 44895 (R) 44077 (R) 56303Air property damage 89 123 123 142 77 99 88 178 100 87 336 267 286 272 309 109 100 188 198 671

Accident-related 0 0 0 0 0 0 0 0 0 0 0 0 0 42 50 61 0 0 0 0Highway property damage 5584 7324 12690 20190 29650 24130 19866 25253 22141 29257 24741 28669 34359 51030 47737 48076 49109 47537 (R) 40141 (R) 59006

Accident-related 3694 3782 10175 14132 23953 18350 11263 13539 16342 22315 17871 21597 23085 37837 36404 33529 37650 34701 (R) 31014 (R) 47080Rail property damage 2488 2952 10274 11952 8469 11857 2649 18673 8485 17385 8418 16362 30663 26547 21248 9745 4126 13901 15455 10740

Accident-related 2357 2357 10094 10660 6231 10233 1916 12014 7260 15460 7446 15452 28625 24756 20092 7524 3175 10195 13063 9222Watera property damage 61 505 32 70 154 143 213 92 174 120 38 1015 61 283 147 248 261 1655 114 59

Accident-related 0 81 0 0 0 125 0 0 0 0 0 0 0 0 0 0 0 0 0 0Otherb property damage 35 35 144 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Accident-related 03 156 lt01 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

SOURCES1975-85 US Department of Transportation Research and Special Programs Administration Office of Hazardous Materials SafetyHazardous Materials Information System Database 1999

1993-2007 Ibid available at httphazmatdotgovpubsincdata10yearfrmhtm as of November 2008

1990 Ibid available at httphazmatdotgovpubsincdata10yearfrmhtm as of May 2 2000

1991-1992 Ibid available at httphazmatdotgovpubsincdata10yearfrmhtm as of June 14 2004

KEY R = revised

a Water category includes only nonbulk marine Bulk marine hazardous materials incidents are reported to the US Coast Guard and are not included

Table 2-6 Hazardous Materials Fatalities Injuries Accidents and Property Damage Data

Hazardous materials transportation incidents required to be reported are defined in the Code of Federal Regulations (CFR) 49 CFR 17115 17116 (Form F 58001) Hazardous materials deaths and injuries are caused by the hazardous material in commerce

b Other category includes freight forwarders and modes not otherwise specifiedc Property damage under $30000 is reported to the nearest $100 Property damage $30000 or greater is reported to the nearest $1000 therefore the components may not add to the totals

NOTES

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001h 2002 2003 2004 2005 2006 2007All occupational fatalities 6217 6331 6632 6275 6202 6238 6055 6054 5920 5915 5534 5575 5764 5734 (R) 5840 5488Transportation-related fatalities totalb 2484 2499 2762 2587 2601 2605 2645 2618 2573 2524 2385 2364 2490 2493 (R) 2459 2234

Highwayc 1158 1242 1343 1346 1346 1393 1442 1496 1365 1409 1373 1353 1398 1437 (R) 1356 1311Nonhighwayd 436 392 409 387 374 377 388 352 399 326 323 347 338 340 (R) 345 292Aircraft 353 282 426 283 324 261 224 228 280 247 194 211 231 149 (R) 217 167Pedestrian struck by vehiclee 346 365 391 388 353 367 413 377 370 383 356 337 378 391 (R) 379 342Water vehiclef 109 119 94 87 119 109 112 102 84 90 71 69 91 88 (R) 96 69Railwayg 66 86 81 82 74 93 60 56 71 62 64 43 50 83 (R) 65 48

As a percent of all occupational fatalitiesTransportation-related fatalities totalb 40 39 42 41 42 42 44 43 43 43 43 42 43 43 42 41

Highway 19 20 20 21 22 22 24 25 23 24 25 24 24 25 (R) 23 24Nonhighway 7 6 6 6 6 6 6 6 7 6 6 6 6 6 (R) 6 5Aircraft 6 4 6 5 5 4 4 4 5 4 4 4 4 3 (R) 4 3Pedestrian struck by vehicle 6 6 6 6 6 6 7 6 6 6 6 6 7 7 (R) 6 6Water vehicle 2 2 1 1 2 2 2 2 1 2 1 1 2 2 (R) 2 1Railway 1 1 1 1 1 1 1 1 1 1 1 1 1 1 (R) 1 1

Table 2-7 Transportation-Related Occupational Fatalitiesa

US Department of Labor Bureau of Labor Statistics Census of Fatal Occupational Injuries (CFOI) available at httpwwwblsgovnewsreleasecfoitochtm as of Sep 2008

a Based on the 1992 Bureau of Labor Statistics Occupational Injury and Illness Classification Manualb Numbers may not add to totals because transportation categories may include subcategories not shown separately

c Includes collisions between vehiclesmobile equipment moving in the same or opposite directions such as in an intersection between moving and standing vehiclesmobile equipment at the side of a roadway or a vehicle striking a stationary object Also includes noncollisions eg jack-knifed or overturned vehiclemobile equipmentndashno collision ran off highwayndashno collision struck by shifting load sudden start or stop not elsewhere classified d Refers to farms and industrial premises Includes collisions between vehiclesmobile equipment vehiclesmobile equipment striking a stationary object Also includes noncollisions such as a fall from a moving vehiclemobile equipment fall from and struck by vehiclemobile equipment overturned vehiclemobile equipment and loss of control of vehiclemobile equipment e Includes worker struck by vehiclemobile equipment in roadway on side of road in a parking lot or nonroad area

Percentages may not add to totals due to rounding

The above categories do not define the types of jobs people had nor the industries in which they worked The categories define the ways in which they died For example a representative traveling for business reasons who is killed in a rail accident would be listed under rail

f Includes collisions explosions fires fall from or on shipboat and sinkingcapsized water vehicles involved in transportation Does not include fishing boats

SOURCE

KEY R = revised

h Data do not include fatalities from the terrorist attacks of September 11 which totaled 2886

NOTES

g Includes collisions between railway vehicles railway vehicle and other vehicle railway vehicle and other object and derailment

Modal administration Reporting thresholdFederal Aviation Administration More than $25000 damage to property other than the aircraft

Federal Highway Administration None each state defines its own threshold and FHWA collects state reports

Federal Railroad Administration More than $7700 in damages to railroad on-track equipment signals track track structures and roadbed for accidents other than at grade-crossings No threshold for grade-crossing accidents

National Highway Traffic Safety Administration None property-damage-only crashes are recorded through the General Estimates System a nationally representative sample of police-reported crashes of all

itiFederal Transit Administration More than $7500

Pipeline and Hazardous Materials Safety Administration More than $50000 for gas pipelinesMore than $50000 for hazardous liquid pipelines

U S Coast Guard More than $25000 for commercial vesselsMore than $2000 or complete loss of vessel for recreational boats

Recreational boating 33 CFR 17355 (as of Nov 23 2007)

Federal Railroad Administration 49 CFR 22519 (as of Nov23 2007)

Federal Transit Administration US Department of Transportation Federal Transit Administration National Transit Database Safety and Security Reporting Manual (Washington DC 2004) Internet site httpwwwntdprogramcomntdprogramsafetyhtm as of dec 6 2007

Pipeline and Hazardous Materials Safety AdministrationGas pipeline 49 CFR 1913 (as of Nov 23 2007)

National Highway Traffic Safety Administration US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2005 DOT HS 809 775 (Washington DC 2005)

Hazardous liquid pipelines 49 CFR 19550 (as of Nov 23 2007)US Coast GuardCommercial shipping 46 CFR 405-1 (as of Nov23 2007)

SOURCESFederal Aviation Administration 49 CFR 8305 (as of Nov 23 2007)

Table 2-8 Reporting Thresholds for Property Damage by US Department of Transportation Modal Administrations

Federal Highway Administration US Department of Transportation Federal Highway Administration personal communication Dec 2007

Section BAir

1960 1965 1970 1975 1980 1985 1990 1991b 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001c 2002 2003 2004 2005 (R) 2006 2007Total fatalities 499 261 146 124 1 526 39 50 33 1 239 168 380 8 1 12 92 531 0 22 14 22 50 1Total seriously injured persons N N 107 81 19 30 29 26 22 19 31 25 77 43 30 67 29 19 (R) 24 (R) 31 (R) 20 (R) 14 9 15Total accidents 90 83 55 37 19 21 24 26 18 23 23 36 37 49 50 51 56 46 41 54 30 40 33 26Fatal accidents 17 9 8 3 1 7 6 4 4 1 4 3 5 4 1 2 3 6 0 2 2 3 2 1Aircraft-miles (millions) 1130 1536 2685 2478 2924 3631 4948 4825 5039 5249 5478 5654 5873 6697 6737 7101 7524 7294 7193 7280 7930 8166 8139 8140Rates per 100 million aircraft-milesFatalities 44159 16992 5438 5004 0034 14486 0788 1036 0655 0019 4363 2971 6470 0119 0015 0169 1223 7280 0000 0302 0177 0269 0614 0012Seriously injured persons N N 3985 3269 0650 0826 0586 0539 0437 0362 0566 0442 1311 0642 0445 0943 0385 0260 (R) 0334 (R) 0426 (R) 0252 (R) 0171 0111 0184Total accidents 7965 5404 2048 1493 0650 0578 0485 0539 0357 0438 0420 0637 0630 0732 0742 0718 0744 0631 0570 0742 0378 0490 0405 0319Total accidents fatal 1504 0586 0298 0121 0034 0193 0121 0083 0079 0019 0073 0053 0085 0060 0015 0028 0040 0082 0000 0027 0025 0037 0025 0012Aircraft departures (thousands) N N N N 5479 6307 8092 7815 7881 8073 8238 8457 8229 10318 10980 11309 11468 10955 10508 10433 11023 11130 10821 10900Rates per 100000 aircraft departuresFatalities N N N N 0018 8340 0482 0640 0419 0012 2901 1986 4618 0078 0009 0106 0802 4847 0000 0211 0127 0198 0462 0009Seriously injured persons N N N N 0347 0476 0358 0333 0279 0235 0376 0296 0936 0417 0273 0592 0253 0173 (R) 0228 (R) 0297 (R) 0181 (R) 0126 0083 0138Total accidents N N N N 0347 0333 0297 0333 0228 0285 0279 0426 0450 0475 0455 0451 0488 0420 0390 0518 0272 0359 0305 0239Total accidents fatal N N N N 0018 0111 0074 0051 0051 0012 0049 0035 0061 0039 0009 0018 0026 0055 0000 0019 0018 0027 0025 0012Flight hours (thousands) N 4691 6470 5607 7067 8710 12150 11781 12360 12706 13124 13505 13746 15838 16817 17555 18299 17814 17290 17468 18883 19390 19263 19305Rates per 100000 flight hoursFatalities N 5564 2257 2212 0014 6039 0321 0424 0267 0008 1821 1244 2764 0051 0006 0068 0503 2981 0000 0126 0074 0113 0260 0005Seriously injured persons N N 1654 1445 0269 0344 0239 0221 0178 0150 0236 0185 0560 0271 0178 0382 0158 0107 (R) 0139 (R) 0177 (R) 0106 (R) 0072 0047 0078Total accidents N 1769 0850 0660 0269 0241 0198 0221 0146 0181 0175 0267 0269 0309 0297 0291 0306 0258 0237 0309 0159 0206 0171 0135Total accidents fatal N 0192 0124 0054 0014 0080 0049 0034 0032 0007 0030 0022 0036 0025 0006 0011 0016 0034 0000 0011 0011 0015 0010 0005

1975 (all categories except miles) Ibid Calendar Year 1983 NTSBARC-8701 (Washington DC February 1987) table 18 1975 (miles) Ibid Calendar Year 1975 NTSBARC-771 (Washington DC January 1977 )

1990-2007 Ibid Analysis and Data Division personal communication as of November 2008

1980 Ibid Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) tables 2 and 16 1985-2007 Ibid National Transportation Safety Board Aviation Accident Statistics available at httpwwwntsbgovaviationStatshtm as of December 2008Serious injuries1970-85 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations (Washington DC Annual issues)

SOURCESFatalities accidents miles departures and flight hours1960 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1967 (Washington DC December 1968) 1965-70 Ibid Calendar Year 1975 NTSBARC-771 (Washington DC January 1977)

c Other than the persons aboard the aircraft who were killed fatalities resulting from the September 11 terrorist acts are excluded

NOTESMiles departures and flight hours are compiled by the US Department of Transportation Federal Aviation Administration Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of miles departures or flight hours These figures are based on information provided by airlines to the US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information

KEY N = data do not exist R = revised

a Air carriers operating under 14 CFR 121 scheduled and nonscheduled service Includes all scheduled and nonscheduled service accidents involving all-cargo carriers and commercial operators of large aircraft when those accidents occurred during 14 CFR 121 operations Since Mar 20 1997 14 CFR 121 includes aircraft with 10 or more seats formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data for 14 CFR 121 and 14 CFR 135 with more recent data b Does not include the 12 persons killed aboard a SkyWest commuter aircraft when it and a US Air aircraft collided

Table 2-9 US Air Carriera Safety Data

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatalitiesd 37 37 6 77 21 24 25 9 14 46 0 12 5 13 0 2 0 0 2 0

Total seriously injured persons 14 14 11 31 7 2 6 17 2 1 2 2 7 4 0 1 0 0 1 0

Total accidentse 38 18 15 23 23 16 10 12 11 16 8 13 12 7 7 2 4 6 3 3

Total accidents fatal 8 7 3 8 7 4 3 2 1 5 0 5 1 2 0 1 0 0 1 0Aircraft-miles (millions) 192 301 450 434 508 555 594 550 591 246 51 52 45 43 42 47 47 46 (R) 47 47Rates per 100 million aircraft-milesFatalitiesb 1927 1230 133 1775 413 433 421 164 237 1870 000 2290 1113 3016 000 422 000 000 (R) 430 000Seriously injured persons 729 465 244 714 138 036 101 309 034 041 394 382 1558 928 000 211 000 000 (R) 215 000Total accidentsbc 1979 598 333 530 433 289 168 218 186 650 1576 2481 2670 1624 1681 422 855 1312 (R) 645 644Total accidentsbc fatal 417 233 067 184 138 072 050 036 017 203 000 954 223 464 000 211 000 000 (R) 215 000Aircraft departures (thousands) 1777 2561 3160 2820 3115 3602 3581 3220 3515 1394 707 672 604 558 513 572 538 527 (R) 568 570Rates per 100 thousand aircraft departuresFatalitiesb 208 144 019 273 067 067 070 028 040 330 000 178 083 233 000 035 000 000 (R) 035 000Seriously injured persons 079 055 035 110 022 006 017 053 006 007 028 030 116 072 000 017 000 000 (R) 018 000Total accidentsc 214 070 047 082 071 044 028 037 031 115 113 193 199 125 136 035 074 114 (R) 053 053Total accidentsc fatal 045 027 009 028 022 011 008 006 003 036 000 074 017 036 000 017 000 000 (R) 018 000Flight hours (thousands) 1176 1737 2342 2292 2335 2638 2784 2628 2757 983 354 343 370 300 274 319 302 (R) 300 (R) 301 302

Rates per 100 thousand flight hoursFatalities 315 213 026 336 090 091 090 034 051 468 000 350 135 433 000 063 000 (R) 000 (R) 066 000Seriously injured persons 119 081 047 135 030 008 022 065 007 010 057 058 189 133 000 031 000 (R) 000 (R) 033 000Total accidentsc 323 104 064 100 094 061 036 046 040 163 226 379 325 233 256 063 132 (R) 200 (R) 100 099Total accidentsc fatal 068 040 013 035 030 015 011 008 004 051 000 146 027 067 000 031 000 (R) 000 (R) 033 000

Table 2-10 US Commuter Air Carriera Safety Data

1990-2007 Analysis and Data Division personal communications Nov 15 2002 June 9 2003 Apr 23 2004 Apr 4 2005 Apr 21 2006 Apr 18 2007 and Apr 24 2008

KEY R = revised

c Rates are based on all accidents including some that involve operators not reporting mileage or other traffic data to the US Department of Transportation

NOTES

Miles departures and hours are compiled by the US Department of Transportation Federal Aviation Administration Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of miles departures or flight hours These figures are based on information provided by airlines to the US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information

1980 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1980 NTSBARC-8301 (Washington DC January 1983) tables 26 and 40

1985-2007 Ibid Internet site wwwntsbgovaviationTable 8htm as of Apr 23 2008

1980-85 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations (Washington DC Annual issues)

Serious injuries

e An attempted suicide case in 1992 is included in accidents but excluded in accident rates in this table

SOURCESFatalities accidents aircraft-miles aircraft departures and flight hours

2007 data are preliminary a Air carriers operating under 14 CFR 135 scheduled service Includes accidents involving all-cargo air carriers when those accidents occurred during scheduled 14 CFR 135 operations Before Mar 20 1997 14 CFR 135 applied to aircraft with 30 or fewer seats Since Mar 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data with more recent years datab Data updated by rounding to two significant digits instead of one

d Total fatalities for 1991 on US air carriers oprating under 14 CFR 135 scheduled service do not include the 22 persons killed aboard alarge-certificated aircraft when it colllided with a commuter aircraft

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatal accidents 6 4 4 1 4 3 5 4 1 2 3 6 0 2 2 3 2 1Phase of operationApproach descent landing 1 2 1 0 2 0 0 0 0 1 0 0 0 0 2 (R) 1 0 0Taxitakeoff climb 3 1 2 0 1 0 3 2 0 0 2 2 0 1 0 (R) 1 (R) 1 0Cruise (in-flight) 1 0 0 0 0 0 1 1 0 0 1 4c 0 0 0 0 0 0Standing (static) 1 1 1 1 0 0 0 0 1 1 0 0 0 1 0 1 (R) 1 0Maneuvering 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0Other not reported 0 0 0 0 0 3 1 1 0 0 0 0 0 0 0 (R) 0 (R) 0 1

2007 data are preliminary

Table 2-11 US Air Carriera Fatal Accidents by First Phase of Operationb

KEY R= revised

a 14 CFR 121 Before Mar 20 1997 14 CFR 121 applied only to aircraft with more than 30 seats or a maximum payload capacity of more than 7500 pounds Since Mar 20 1997 14 CFR 121 includes aircraft with 10 or more seats that formerly operated under 14 CFR 135 This change makes it difficult to compare pre-1997 data with more recent data

National Transportation Safety Board personal communications Jul 6 2004 Apr 5 2005 Apr 25 2006 Apr 18 2007 and Apr 23 2008

b First phase of operation is the phase of flight in which the first occurrence leading to the accident happenedc Cruise (in-flight) numbers for 2001 are unusually high because of the incidents occurring on September 11

SOURCE

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL fatal accidents 3 8 7 4 3 2 1 5 0 5 1 2 0 1 0 0 1 0Phase of operation Approach descent landing 0 3 5 1 2 0 1 2 0 0 1 0 0 1 0 0 0 0Taxitakeoff climb 0 0 1 1 0 1 0 1 0 2 0 2 0 0 0 0 0 0Cruise (in-flight) 2 2 1 1 1 0 0 0 0 3 0 0 0 0 0 0 0 0Standing (static) 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0Maneuveringb 1 1 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0Other not reported 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0

National Transportation Safety Board personal communications Jul 6 2004 Apr 5 2005 Apr 25 2006 Apr 18 2007 and Apr 25 2008

b Includes instructional flights performing turns and agricultural flights for spraying and buzzing (repeated passes over a particular location)

NOTEFirst Phase of Operation is the part of the flight where the problem leading to the accident first occurs

Table 2-12 US Commuter Air Carriera Fatal Accidents by First Phase of Operation

a 14 CFR 135 scheduled operations Before Mar 20 1997 14 CFR applied to aircraft with 30 or fewer seats Since Mar 20 1997 14 CFR 135 includes only aircraft with fewer than 10 seats This change makes it difficult to compare pre-1997 data with more recent years data

SOURCE

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatalities 69 105 76 51 78 68 42 63 52 63 39 45 38 71 60 35 42 64 18 16 43Total seriously injured persons N 43 44 36 26 19 24 32 14 22 23 10 15 12 24 16 12 17 23 16 20Total accidents 152 171 157 107 88 76 69 85 75 90 82 77 74 80 72 60 73 66 66 (R) 53 62Total accidents fatal 24 46 35 29 28 24 19 26 24 29 15 17 12 22 18 18 18 23 11 10 14Flight hours (thousands) 2526 3618 2570 2249 2241 2844 2324 2465 2486 3220 3098 3802 3204 3930 2997 2911 2927 3238 3815 (R) 3742 3668Rates per 100000 flight hoursb

Fatalities 273 290 296 227 348 239 181 256 209 196 126 118 119 181 200 120 143 198 047 (R) 043 117Seriously injured persons N 119 171 160 116 067 103 130 056 068 074 026 047 031 080 055 041 053 060 (R) 043 055Total accidents 602 473 611 476 393 267 297 345 302 280 265 203 231 204 240 206 249 204 173 (R) 142 169Total accidents fatal 095 127 136 129 125 084 082 105 097 090 048 045 037 056 060 062 061 071 029 (R) 027 038

b Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of flight hours

NOTEHours are estimated by the US Department of Transportation Federal Aviation Administration

Table 2-13 US On-Demand Air Taxia Safety Data

KEY N = data do not exist R = revised

a Air carriers operating under 14 CFR 135 nonscheduled service Accidents on foreign soil and in foreign waters are excluded

1990-2006 Ibid Analysis and Data Division personal communications Nov 15 2002 June 9 2003 Apr 23 2004 Apr 4 2005 Apr 24 2006 and Apr 23 2008

1985-2006 IbidTable 9 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008

SOURCESFatalities and accidents1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 61

Flight hours1975-80 National Transportation Safety Board Annual Review of Aircraft Accident Data US Air Carrier Operations Calendar Year 1981 NTSBARC-8501 (Washington DC February 1985) table 611985-2006 IbidTable 9 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008Serious injuries1980-85 Ibid Annual Review of Aircraft Accident Data US Air Carrier Operations (Washington DC Annual issues)

1960d 1965d 1970d 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total fatalities 787 1029 1310 1252 1239 956 770 800 867 744 730 735 636 631 625 619 596 562 581 (R) 630 559 563 (R) 703 491Total seriously injured persons N N 715 769 681 501 409 431 408 385 415 396 366 350 327 322 309 321 297 323 266 267 264 260Total accidentsb 4793 5196 4712 3995 3590 2739 2242 2197 2111 2064 2021 2056 1908 1844 1905 1905 1837 1727 1715 (R) 1715 (R) 1617 (R) 1670 (R) 1518 1631Total accidentsb fatal 429 538 641 633 618 498 444 439 451 401 404 413 361 350 365 340 345 325 345 352 314 321 (R) 306 284Flight hours (thousands) 13121 16733 26030 28799 36402 28322 28510 27678 24780 22796 22235 24906 24881 25591 25518 29246 27838 25431 25545 25998 24888 23168 (R) 23963 23835Rates per 100000 flight hoursc

Fatalities 600 615 503 435 340 338 270 289 350 326 328 295 256 247 245 212 214 221 227 (R) 242 225 243 (R) 293 206Seriously injured persons N N 275 267 187 177 143 156 165 169 187 159 147 137 128 110 111 127 116 124 107 115 (R) 110 109Total accidentsa 3653 3105 1810 1387 986 (R) 963 (R) 785 (R) 791 (R) 851 (R) 903 (R) 908 (R) 821 (R) 765 (R) 719 (R) 744 (R) 650 (R) 657 (R) 678 (R) 669 (R) 668 (R) 649 (R) 720 (R) 633 684Total accidents fatala 327 322 246 220 170 (R) 174 (R) 155 (R) 157 (R) 182 (R) 174 (R) 181 (R) 163 (R) 145 (R) 136 (R) 141 (R) 116 (R) 121 (R) 127 (R) 133 (R) 134 (R) 126 (R) 138 (R) 127 119

Flight hours

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21

1985-2007 IbidTable 10 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008

1990-2006 Ibid Analysis and Data Division personal communications Nov 15 2002 June 9 2003 Apr 23 2004 Apr 4 2005 Apr 24 2006 Apr 18 2007 and Apr 23 2008

1985-2007 IbidTable 10 Internet site httpwwwntsbgovaviationStatshtm as of Apr 21 2008Serious injuries

1970-85 National Transportation Safety Board Annual Review of Aircraft Accident Data General Aviation (Washington DC Annual issues)

NOTEFlight hours are estimated by the US Department of Transportation Federal Aviation Administration

1960-70 National Transportation Safety Board Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1970 NTSBARG-741 (Washington DC April 1974) table 117

1975-80 Ibid Annual Review of Aircraft Accident Data General Aviation Calendar Year 1985 NTSBARG-8703 (Washington DC October 1987) table 21

SOURCESFatalities and accidents

Table 2-14 US General Aviationa Safety Data

KEY N = data do not exist R = revised

a US registered civil aircraft not operated under 14 CFR 121 or 14 CFR 135 Accidents on foreign soil and in foreign waters are excluded Suicide sabotage and stolenunauthorized cases included in accidents and fatalities but excluded from accident rates in this table are 1985 (11 accidents 6 fatal accidents) 1990 (41) 1991 (85) 1992 (21) 1993 (54) 1994 (32) 1995 (106) 1996 (40) 1997 (52) 1998 (64) 1999 (31) 2000 (77) 2001 (31) 2002 (76) 2003 (43) 2004 (30) 2005 (21) 2006 (21) 2007 (00) b Since April 1995 the National Transportation Safety Board has been required by law to investigate all public-use accidents increasing the number of NTSB reported general aviation accidents by approximately 175c Rates are computed by dividing the number of fatalities serious injuries total accidents and fatal accidents by the number of flight hours Except for the exclusions mentioned in footnote a d Data for 1960 1965 and 1970 include air taxi

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total all degrees of hazard 568 758 454 348 311 254 275 238 194 238 211 257 239 211 180 162 145 138 105 109Criticala 118 180 74 52 46 35 47 32 26 31 22 28 30 37 26 15 16 14 5 11Potentialb 319 423 266 197 195 158 139 139 101 105 100 110 130 96 85 88 62 75 53 47No hazardc 122 133 114 99 70 61 71 63 55 70 53 55 49 51 42 38 31 20 16 18Unclassifiedd 9 22 0 0 0 0 18 4 12 32 36 64 30 27 27 21 36 29 31 33NMAC involving aircraft operating under 14 CFR 121e

U U 136 117 76 60 71 50 56 82 70 66 75 48 53 51 41 41 24 22

2006 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Apr16 2008

2005 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 2 2006

All data except NMAC involving 121 aircraft

b An incident that would probably have resulted in a collision if no action had been taken by either pilot Less than 500 feet would usually be required in this case

2006 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Apr 16 2008

1980-85 US Department of Transportation Federal Aviation Administration Aviation Safety Statistical Handbook Annual Report (Washington DC Annual issues) and personal communication Aug 6 2002

1990-2002 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Mar 30 20052003-04 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 28 2005

1990-2002 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Mar 30 20052003-04 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 28 2005

NMAC involving 121 aircraft

2005 Ibid Office of System Safety National Aviation Safety Data Analysis Center NMAC database database query Internet site httpswwwnasdacfaagov as of Nov 2 2006

1980-85 US Department of Transportation Federal Aviation Administration Air Traffic Resource Management personal communication Aug 6 2002

Table 2-15 Number of Pilot-Reported Near Midair Collisions (NMAC) by Degree of Hazard

SOURCES

d No determination could be made due to insufficient evidence or unusual circumstances or because incident is still under investigatione Before Mar 20 1997 14 CFR 121 applied only to aircraft with more than 30 seats or a maximum payload capacity of more than 7500 pounds Since Mar 20 1997 14 CFR 121 includes aircraft with 10 or more seats that formerly operated under 14 CFR 125 This change makes it difficult to compare pre-1997 data with more recent years data

NOTE

NMACs are reported voluntarily to the FAA so these numbers may not be representative Reporters consist of pilots of air carriers general aviation and other aircraft involved in public-use operations Incidents involving military aircraft may be included if they also involved a civilian aircraft

KEY R = revised U = data are not available

a A situation where collision avoidance was due to chance rather than an act on the part of the pilot Less than 100 feet of aircraft separation would be considered critical

c When direction and altitude would have made a midair collision improbable regardless of evasive action taken

Table 2-16a Airlinea Passenger Screening Results by Type of Weapons Detected Persons Arrested and Bomb Threats Received1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001

Persons screened (millions) 585 993 1145 1015 1111 1150 1261 1263 1497 1660 1667 1767 1812 U

TOTAL firearms detected 1914 2913 2549 1644 2608 2798 2994 2390 2155 2067 1515 1552 1937 U

Firearms handguns 1878 2823 2490 1597 2503 2707 2860 2230 1999 1905 1401 1421 1643 U

Firearms long guns 36 90 59 47 105 91 134 160 156 162 114 131 294 U

Other other dangerous articlesb 108 74 304 275 N N N N N N N N N N

Explosive incendiary devices 8 12 15 94 167 251 N N N N N N N N

Persons arrested

Carrying firearms explosives 1031 1310 1336 893 1282 1354 1433 1194 999 924 660 633 600 U

Giving false information 32 42 18 28 13 31 35 68 131 72 86 58 61 U

Bomb threats received

Against airports 1179 477 448 498 188 304 250 346 N N N N N N

Against aircraft 268 153 338 388 215 248 218 327 N N N N N N

KEY N = data do not exist U = unavailable

a Includes operators with a US Department of Transportation Federal Aviation Administration operating certificate engaged in scheduled passenger or public charter passenger operations and airports at which these operations are conductedb In 1980 and 1985 the other category was included with firearms in 1990 other became other dangerous articles

NOTESBeginning in 1996 the Office of Civil Aviation Security Policy and Planning stopped keeping records of bomb threats received due to inconsistent reporting The reporting of other other dangerous articles was discontinued in 1992 and reporting of explosive incendiary devices was discontinued in 1994 for the same reasons

SOURCESPersons screened type of weapon detected and persons arrested1980-85 US Department of Transportation Federal Aviation Administration Semiannual Report to Congress on the Effectiveness of the Civil Aviation Security Program July 1-December 31 1985 (Washington DC May 1986)1990-2000 Ibid Office of Civil Aviation Security Policy and Planning Annual Report to Congress on Civil Aviation Security (Washington DC Annual issues) and personal communications May 27 1999 Mar 29 2000 and Aug 7 2001Bomb threats receivedUS Department of Transportation Federal Aviation Administration Criminal Acts Against Civil Aviation (Washington DC Annual issues)

Table 2-16b Prohibited Items Intercepted at Airport Screening Checkpoints2002a

2003 2004 (R) 2005 2006 2007Enplanements (R) 554046622 (R) 587535022 (R) 634426165 659600540 655144131 673248973Total prohibited items 3775345 6114612 7089599 15887596 13711759 6516022

Firearms 927 683 650 2217 2075 1416Knives 1036697 1961849 2058652 1822752 1607125 1056687Box cutters 32788 20991 22350 21315 15999 11908Other cutting instruments 1846207 2973413 3567731 3276691 163419 101387Clubs 11131 25139 28813 20531 12296 9443Incendiaries 79341 494123 693649 398830 113700 89623Other 768254 638414 717754 10345260 11797145 5245558

KEY R = revised

a All data except enplanements for April though December

SOURCESAll data except enplanements

US Department of Homeland Security Transportation Security Administration personal communication as of October 2008EnplanementsUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information T-100 Domestic Market Data

Section CHighway

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Fatalities 36399 47089 52627 44525 51091 43825 44599 41508 39250 40150 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 (R) 43510 42642Injured personsE N N N N N N 3230666 3096870 3069603 3149164 3265928 3465279 3483319 3347614 3192035 3236238 3188750 3032672 2926000 2889000 2788000 2699000 2575000CrashesE N N N N N N 6471202 6117359 6000310 6105915 6495988 6699415 6769583 6624149 6334573 6279036 6393624 6322896 6316000 6328000 6181000 6159000 5973000Vehicle-miles (millions) 718763 887811 1109724 1327664 1527295 1774827 2144362 2172050 2247151 2296378 2357588 2422696 2485848 2561695 2631522 2691056 2746925 2797287 2855508 2890450 2964788 (R) 2989430 3014116Rates per 100 million vehicle-milesFatalities 51 53 47 34 33 25 21 19 17 17 17 17 17 16 16 16 15 15 15 15 14 (R) 15 14Injured personsE N N N N N N 151 143 137 137 139 143 140 131 121 120 116 108 102 100 94 (R) 90 85CrashesE N N N N N N 302 282 267 266 276 277 272 259 241 233 233 226 221 219 208 (R) 206 198

Table 2-17 Motor Vehicle Safety Data

KEY E = estimated N = data do not exist R = revised

SOURCES

Fatalities

1960-70 Estimated by US Department of Transportation National Highway Traffic Safety Administration from data supplied by US Department of Health and Human Services National Center for Health Statistics and individual state accident reports (adjusted to 30-day deaths) Fatalities data prior to 1975 have been adjusted to reflect the Fatality Analysis Reporting Systems definition of a fatal crash as one that involves a motor vehicle on a trafficway which results in the death of a vehicle occupant or a nonmotorist within 30 days of the crash1975-2006 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC December 2006) table 2Injured persons 1990-2001 Ibid Traffic Safety Facts 2002 DOT HS 809 620 (Washington DC January 2004) table 22002-06 Ibid Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC December 2006) table 2Crashes1990-2006 Ibid Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC December 2006) table 11960-65 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201AVehicle-miles1970-2006 US Department of Transportation Federal Highway Administration Highway Statistics 2006 (Washington DC 2006) table VM1 and similar tables in earlier editions Fatality injury and crash rates

Calculated by US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006FatalitiesRural total 29545 24492 25786 23978 24510 24889 24751 25185 23640 23396 25693 25203 24740 23549 23099

Interstate 2263 2141 2707 2675 2905 3033 3105 3244 3199 3105 3297 3241 3246 3216 2870Other arterialsa 12268 9940 9893 9947 9458 9821 9594 9573 8913 8692 9358 9823 10061 8968 8768Collectorb 10004 8209 8852 7401 7481 7578 7593 7595 7147 7305 7974 7726 7353 7154 7242Local 5010 4202 4334 3955 4666 4457 4459 4773 4381 4294 5064 4413 4080 4211 4219

Urban total 21546 19333 18813 17839 17555 17078 16143 15970 15695 15219 16759 16825 17161 17752 18309Interstate 2184 2025 2252 2154 2323 2281 2283 2353 2388 2371 2452 2374 2516 2658 2619Other arterialsa 12752 12521 11742 10916 10756 10243 9902 9628 9442 8838 9702 9827 10003 10413 10672Collector 2226 1696 1427 1441 1290 1399 1037 1031 987 1007 1136 1197 1339 1361 1478Local 4384 3091 3392 3328 3186 3155 2921 2958 2878 3003 3469 3427 3303 3320 3540

Vehicle-miles of travel (VMT) (millions)Rural total 672030 730728 868878 933289 960194 999277 1032528 1062623 1084961 1105083 1128160 1085385 1070248 1037937 1037069

Interstate 135084 154357 200173 223382 232565 240255 251520 260166 268960 274024 279962 269945 266996 258790 257913Other arterialsa 262774 282803 330866 368595 378847 392057 403484 413320 420569 426945 433805 416596 409944 398932 394499Collectorb 189468 206669 240460 236148 241030 254100 257868 264453 267521 270962 275007 263662 260931 251587 251375Local 84704 86899 97379 105164 107752 112865 119656 124684 127911 133152 139386 135182 132377 128628 133282

Urban total 855265 1044098 1275484 1489534 1523886 1552956 1595620 1627618 1664842 1676379 1727596 1805508 1892265 1951870 1977047Interstate 161242 216188 278901 341528 351579 361433 374622 383259 393580 399890 408618 432633 454385 469070 477283Other arterialsa 484189 578270 699233 815170 834623 846627 862996 878153 900161 913726 937357 973936 1020089 1048219 1060098Collector 83043 89578 106297 126929 129310 130146 131905 131603 135371 137922 141874 153751 162108 168038 173210Local 126791 160062 191053 205907 208374 214750 226097 234603 235730 224841 239747 245188 255683 266543 266456

Fatality rates per 100 million vehicle milesRural total 440 335 297 257 255 249 240 237 218 212 228 232 231 227 223

Interstate 168 139 135 120 125 126 123 125 119 113 118 120 122 124 111 Other arterialsa 467 351 299 270 250 250 238 232 212 204 216 236 245 225 222 Collectorb 528 397 368 313 310 298 294 287 267 270 290 293 282 284 288 Local 591 484 445 376 433 395 373 383 343 322 363 326 308 327 317

Urban total 252 185 147 120 115 110 101 098 094 091 097 093 091 091 093 Interstate 135 094 081 063 066 063 061 061 061 059 060 055 055 057 055 Other arterialsa 263 217 168 134 129 121 115 110 105 097 104 101 098 099 101 Collector 268 189 134 114 100 107 079 078 073 073 080 078 083 081 085 Local 346 193 178 162 153 147 129 126 122 134 145 140 129 125 133

Fatality rates

Calculated by the US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics

Fatalities1980-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC July 1997) table FI-220 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 20091996-97 Ibid Highway Statistics (Washington DC Annual issues) table FI-1 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 20091998-2007 Ibid Highway Statistics (Washington DC Annual issues) table FI-20 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

1980-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC July 1997) table VM-202 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 20091996-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-2 available at httpwwwfhwadotgovpolicyohpihsshsspubscfm as of March 2009

Table 2-18 Motor Vehicle Fatalities Vehicle-Miles and Associated Rates by Highway Functional System

a Urban other arterials is the sum of other freeways and expressways other principal arterials and minor arterials Rural other arterials is the sum of other principal arterials and minor arterials

Vehicle miles

b Rural collector is the sum of major and minor collectors

NOTESIncludes the 50 states and the District of Columbia Fatality numbers reflect original numbers received by FHWA from NHTSA Thus the fatality numbers in this table could be slightly different from the revised NHTSA numbers that appear in other tables in this volume

SOURCES

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Total traffic fatalities 44525 51091 43825 44599 41508 39250 40150 40716 41817 (f) 42065 42013 41501 41717 41945 42196 43005 42884 42836 (R) 43510 42642 Occupant fatalities (by vehicle type) 35925 41927 36043 37134 34740 32880 33574 34318 35291 35695 35725 35382 35875 36348 36440 37375 37341 (R) 37203 (R) 37574 36902 Passenger car total 25929 27449 23212 24092 22385 21387 21566 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 (R) 19091 (R) 18440 17800

Subcompacta 3834 7299 7993 8309 7694 7028 6968 7060 6791 6618 6838 6012 5504 5291 4886 4674 4073 3681 (R) 2979 2630 Compactb 614 927 2635 5310 5338 5354 5707 6322 6899 7288 7992 7589 7432 7525 7211 7348 7013 6807 (R) 6245 6044 Intermediatec 1869 3878 4391 4849 4681 4418 4483 4407 4666 4670 3308 3273 3556 4115 4426 4709 4857 4900 (R) 5548 5420 Fulld 10800 11580 6586 4635 4040 3796 3675 3560 3413 3417 3924 4303 4365 3744 3765 3775 3682 3603 (R) 3276 3277 Unknown 8812 3765 1607 989 632 791 733 648 654 512 137 17 5 24 32 63 100 100 (R) 392 429

Trucke total 5817 8748 7666 9306 9052 8683 9116 9574 10216 10553 10972 11447 12024 12280 12431 12963 13272 13440 (R) 13841 13526 Light 4856 7486 6689 8601 8391 8098 8511 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 (R) 13037 12721 Large 961 1262 977 705 661 585 605 670 648 621 723 742 759 754 708 689 726 766 (R) 804 805

Other vehicles total 4179 5730 5165 3736 3303 2810 2892 2747 2652 2637 2554 2741 2989 3369 3689 3843 4344 4672 (R) 5293 5576 Motorcycle 3189 5144 4564 3244 2806 2395 2449 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 (R) 4576 4810 Bus 53 46 57 32 31 28 18 18 33 21 18 38 59 22 34 45 41 42 58 27 Other unknown vehicle type 937 540 544 460 466 387 425 409 392 455 420 409 447 450 458 528 589 602 (R) 659 739

Nonoccupant fatalities total 8600 9164 7782 7465 6768 6370 6576 6398 6526 6368 6288 6119 5842 5597 5756 5630 5543 5532 (R) 5864 5740 Pedestrian 7516 8070 6808 6482 5801 5549 5649 5489 5584 5449 5321 5228 4939 4763 4901 4851 4774 4675 (R) 4892 4784 Pedalcyclist 1003 965 890 859 843 723 816 802 833 765 814 760 754 693 732 665 629 727 (R) 786 773 Other 81 129 84 124 124 98 111 107 109 154 153 131 149 141 123 114 140 130 (R) 186 183

2005 - 2006Ibid Traffic Safety Facts A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates SystemDOT HS 810 631and DOT HS 810 818 Table 75 Internet site httpwww-nrdnhtsadotgovPubsTSF2005PDF and httpwww-nrdnhtsadotgovPubsTSF2006PDFas of April 21 2008

1997-2004 Ibid Traffic Safety Facts Research Note Passenger Vehicle Occupant Fatality Rates by Type and Size of Vehicle DOT HS 809 979 (Washington DC 2006) table 4 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2006809979pdf as of Mar 25 2008

1975-96 Ibid personal communications Dec 18 2003 Nov 17 2004 and Mar 15 2005

1975-2006 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2006 DOT HS 809 919 (Washington DC 2006) table 4

Breakout of passenger car types

f Includes two fatalities that could not be assigned to a category below

SOURCES

Table 2-19 Occupant Fatalities by Vehicle Type and Nonoccupant Fatalities

d Includes cars with a wheelbase of 110 inches or greatere Large trucks - trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks - trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehicles

KEY R = revised U = data are not available

c Includes cars with a wheelbase of between 105 and 109 inches

b Includes cars with a wheelbase of between 100 and 104 inches

a Includes minicompact cars (wheelbase under 95 inches) and subcompact cars (wheelbase between 95 and 99 inches)

Table 2-20 Occupant and Nonmotorist Fatalities in Crashes by Number of Vehicles and Alcohol Involvement (AI)1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal AI Fatal Al Fatal AlTOTAL fatalities 43825 23167 44599 22587 41508 20159 39250 18290 40150 17908 40716 17308 41817 17732 42065 17749 42013 16711 41501 16673 41717 16572 41945 17380 42196 17400 43005 17524 42884 (R)17105 42836 16694 43510 (R)16885 (R)42708 (R)17738 41059 17036AI as a percent of total fatalities 53 51 49 47 45 43 42 42 40 40 40 41 41 41 40 39 39 (R)42 41Motorist fatalities TOTAL 36043 19271 37134 18953 34740 16917 32880 15301 33574 14857 34318 14437 35291 14796 35695 14830 35725 14051 35382 13896 35875 13958 36348 14834 36440 14708 37375 14954 (R)37341 (R)14544 (R)37304 (R)14196 (R)37646 14370 36956 14959 35555 14386

Single-vehicle crashes 17130 10882 18159 11162 17280 10208 15958 9045 15932 8761 15997 8330 16732 8868 16723 8781 16529 8244 16666 8417 17075 8516 17471 8964 17753 8973 18600 9238 18175 (R)8957 18288 8808 18806 9016 18890 9376 18402 9188Two-vehicle crashes 16467 7296 16262 6676 15025 5821 14449 5341 15161 5205 15664 5219 15744 5017 15935 5084 16218 4904 15742 4638 15726 4562 15758 4854 15618 4739 15628 4744 15795 (R)4652 15737 4492 15649 4449 15070 4622 14293 4288More than two-vehicle crashes 2446 1093 2713 1115 2435 888 2473 916 2481 891 2657 888 2815 911 3037 965 2978 904 2974 841 3074 880 3119 1016 3069 996 3147 972 3162 (R)935 3117 896 3139 905 2996 961 2860 911

Nonmotorist fatalities TOTAL 7782 3897 7465 3636 6768 3241 6370 2989 6576 3051 6398 2871 6526 2936 6368 2919 6288 2660 6119 2777 5842 2613 5597 2546 5756 2693 5630 2571 (R)5543 (R)2562 (R)5532 2499 (R)5864 2516 5752 2779 5504 2650Pedestrians fatalities total 6808 3575 6482 3264 5801 2891 5549 2721 5649 2735 5489 2578 5584 2607 5449 2593 5321 2350 5228 2463 4939 2314 4763 2254 4901 2371 4851 2292 4749 (R)2283 4641 2211 4881 2180 4795 2401 4654 2307Pedestrians single-vehicle crashes 6342 3278 5990 2966 5302 2588 5099 2454 5180 2464 5027 2308 5110 2364 5024 2358 4876 2112 4801 2228 4516 2074 4340 2015 4480 2123 4445 2069 4292 (R)2036 4207 1976 4443 1946 4332 2138 4264 2088Pedestrians multiple-vehicle crashes 466 297 492 298 499 303 450 267 469 271 462 270 474 243 425 235 445 239 427 235 423 240 423 239 421 248 406 223 457 (R)247 434 234 438 234 463 263 390 219Pedalcyclists fatalities total 890 284 859 315 843 305 723 228 816 279 802 262 833 290 765 265 814 252 760 268 754 270 693 246 732 283 665 243 622 (R)235 725 249 784 282 772 311 698 288Pedalcyclists single-vehicle crashes 864 271 832 301 815 296 690 211 792 264 781 252 807 279 739 253 788 244 736 259 718 253 668 236 709 271 628 229 589 (R)218 697 237 755 268 732 292 670 276Pedalcyclists multiple-vehicle crashes 26 13 27 14 28 9 33 17 24 15 21 10 26 11 26 12 26 8 24 9 36 17 25 10 23 12 37 14 33 (R)18 28 11 29 14 40 19 28 12Others unknown 84 38 124 57 124 45 98 39 111 37 107 31 109 39 154 61 153 58 131 47 149 29 141 46 123 39 114 36 140 (R)44 128 39 184 54 185 67 152 55

KEY AI = Alcohol involvement Fatal = fatalities R = revised

NOTESAlcohol involvement pertains to any driver pedestrian or pedalcyclist involved in the accident Alcohol results are determined from positive blood alcohol concentration tests and police-reported alcohol involvement and are adjusted by the US Department of Transportation National Highway Traffic Safety Administration

In 2001 NHTSA adopted a new method to estimate missing blood alcohol concentration (BAC) test result data This new method multiple imputation is being used by NHTSAs National Center for Statistics and Analysis (NCSA) to improve the scope of alcohol involvement statistics by the Fatality Analysis Reporting System (FARS) As a result of the methodology change alcohol involvement fatalities have undergone a complete revision

The sum of individual categories may not add to totals because NCSA generates a separate estimate for each category of fatalities including total fatalities

SOURCESUS Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System (FARS) Database personal communication December 2008Total motorist fatalities and total nonmotorist fatalities for 2003-2005US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2007 Final Edition (Washington DC) table 4 available at httpwww-nrdnhtsadotgov as March 2009

412009 NTS 2002 NHTSA

Table 2-21 Passenger Car Occupant Safety Data1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities 25929 27449 23212 24092 22385 21387 21566 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 19192 (R) 18512 17925 16520Injured persons N N N 2376439 2234594 2231703 2264809 2363595 2469358 2458080 2340612 2201375 2137503 2051609 1926625 1804788 1756495 1642549 1573000 1475000 1379000Vehicles involved in crashes N N N 5560592 5178450 5042203 5040116 5401164 5593685 5598699 5423286 5146124 4915734 4926243 4831842 4802056 4746620 4557316 6087000 5864000 5745000Vehicle-miles (millions) 1030376 1107056 1248981 1427178 1411655 1436035 1445106 1459208 1478352 1499139 1528399 1555901 1566808 1580735 1595443 1611860 1612237 (R) 1628266 (R) 1615225 1614564 1605558Rates per 100 million vehicle-milesFatalities 25 25 19 17 16 15 15 15 15 15 15 14 13 13 13 13 12 12 (R) 1 11 10

Injured persons N N N 167 158 155 157 162 167 164 153 141 136 130 121 112 109 101 (R) 97 91 86

Vehicles involved in crashes N N N 390 367 351 349 370 378 373 355 331 314 312 303 298 294 280 (R) 377 363 358KEY N = data do not exist R = revised

NOTESVehicle-miles in this table and in table 2-23 are taken from NHTSA revised data and are not based exclusively on USDOT Federal Highway Administration (FHWA) data The change was made to reflect the different vehicle classification schemes used by FHWA and NHTSA Thus vehicle-miles for passenger cars and light and large trucks in this table and table 2-23 should not be compared with vehicle-miles in chapter 1 which are taken directly from FHWA

SOURCESFatalities injuries and vehicle miles1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition DOT HS 811 002 (Washington DC Annual issues) table 7 available at httpwwwnhtsadotgov as of March 2009

Vehicles involved in crashes1975-2004 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database personal communication May 25 2006 2005mdash2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 35 available at httpwww-nrdnhtsadotgov as of March 2009

Table 2-22 Motorcycle Rider Safety Data1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities 3189 5144 4564 3244 2806 2395 2449 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 (R) 4576 4837 5154Injured persons N N N 84285 80435 65099 59436 57405 57480 55281 52574 48974 49986 57723 60236 64713 67103 76379 87000 88000 103000Motorcycles involved in crashes N N N 103114 105030 72177 74565 68752 66354 66224 61451 54477 57322 68783 73342 76004 79131 85538 103000 104000 123000Vehicle-miles (millions) 5629 10214 9086 9557 9178 9557 9906 10240 9797 9920 10081 10283 10584 10469 9639 9552 9577 10122 (R) 10454 12049 13612Rates per 100 million vehicle-milesFatalities 57 50 50 34 31 25 25 23 23 22 21 22 23 28 33 34 39 40 (R) 44 40 38Injured persons N N N 882 876 681 600 561 587 557 522 476 472 551 625 677 701 755 (R) 832 730 757Motorcycles involved in crashes N N N 1079 1144 755 753 671 677 668 610 530 542 657 761 796 826 845 (R) 985 863 904KEY N = data do not exist R = revised

NOTESThe injury and crash data in this table are from NHTSAs General Estimates System (GES) The data from the GES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or that did not result in property damage

SOURCESFatalities injuries and vehicle-miles1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 10 available at httpwww-nrdnhtsadotgov as of March 2009

Motorcycles involved in crashes1975-2004 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database personal communication May 25 2006

2005-07 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 35 available at httpwww-nrdnhtsadotgov as of March 2009

o

Table 2-23 Truck Occupant Safety Data1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities total 5817 8748 7666 9306 9052 8683 9116 9574 10216 10553 10972 11447 12024 12280 12431 12963 13272 13440 (R) 13841 13566 13215Light 4856 7486 6689 8601 8391 8098 8511 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 (R) 13037 12761 12413Large 961 1262 977 705 661 585 605 670 648 621 723 742 759 754 708 689 726 766 (R) 804 805 802

Injured persons total N N N 546966 590632 578435 632976 661619 752840 794238 785733 791273 879757 917398 889951 905580 915941 927458 899000 880000 864000Light N N N 505144 562601 544657 600874 631411 722496 761478 754820 762506 846865 886566 860527 879338 889048 900171 872000 857000 841000Large N N N 41822 28031 33778 32102 30208 30344 32760 30913 28767 32892 30832 29424 26242 26893 27287 27000 23000 23000

Trucks involved in crashes total N N N (R) 2783396 (R) 2809179 (R) 2852683 (R) 3139660 (R) 3411997 (R) 3568059 (R) 3757001 (R) 3834545 (R) 3805318 (R) 4150879 (R) 4307493 (R) 4347654 (R) 4423255 (R) 4516020 (R) 4570388 (R) 4591915 4541177 4605270Light N N N (R) 2398620 (R) 2478832 (R) 2476648 (R) 2742332 (R) 2951353 (R) 3190587 (R) 3363246 (R) 3396628 (R) 3393363 (R) 3675959 (R) 3850498 (R) 3917831 (R) 3988668 (R) 4059299 (R) 4154486 (R) 4150964 4156411 4191686Large N N N (R) 384776 (R) 330347 (R) 376035 (R) 397328 (R) 460644 (R) 377472 (R) 393755 (R) 437917 (R) 411955 (R) 474920 (R) 456995 (R) 429823 (R) 434587 (R) 456721 (R) 415902 (R) 440951 384766 413584

Vehicle-miles (millions)Light 204274 295475 388778 555659 595924 642397 675353 711515 749971 787255 824896 861951 903314 942611 976096 1012648 1043936 (R) 1098807 (R) 1134247 1158460 1176713Large 81330 108491 123504 146242 149543 153384 159888 170216 178156 182971 191477 196380 202688 205520 209032 214603 217917 (R) 220792 (R) 222523 222513 226963

Rates per 100 million vehicle-milesFatalities

Light 24 25 17 15 14 13 13 13 13 13 12 12 12 12 12 12 12 12 11 11 11Large 12 12 08 05 04 04 04 04 04 03 04 04 04 04 03 03 03 03 04 04 04

Injured personsLight N N N 909 944 848 890 887 963 967 915 885 938 941 882 868 852 819 769 740 715Large N N N 286 187 220 201 177 170 179 161 146 162 150 141 122 123 124 121 103 101

Trucks involved in crashesLight N N N (R) 432 (R) 416 (R) 386 (R) 406 (R) 415 (R) 425 (R) 427 (R) 412 (R) 394 (R) 407 (R) 408 (R) 401 (R) 394 (R) 389 (R) 378 (R) 366 359 356Large N N N (R) 263 (R) 221 (R) 245 (R) 249 (R) 271 (R) 212 (R) 215 (R) 229 (R) 210 (R) 234 (R) 222 (R) 206 (R) 203 (R) 210 (R) 188 (R) 198 173 182

KEY N = data do not exist R = revised

NOTESLarge trucks - trucks over 10000 pounds gross vehicle weight rating including single-unit trucks and truck tractors Light trucks - trucks of 10000 pounds gross vehicle weight rating or less including pickups vans truck-based station wagons and utility vehicles The injury and crash data in this table are from the US Department of Transportation (USDOT) National Highway Traffic Safety Administrations (NHTSA) General Estimates System (GES) The data from GES which began operation in 1988 are obtained from a nationally representative probability sample selected frall police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or that did not result in property damage

Vehicle-miles in this table and in table 2-19 are taken from NHTSA revised data and are not based exclusively on USDOT Federal Highway Administration (FHWA) data as they have been in earlier reports The change was made to reflect the different vehicle classification schemes used by FHWA and NHTSA Thus vehicle-miles for passenger cars and light and large trucks in table 2-19 and this table should not be compared with vehicle-miles in Chapter 1 which are taken directly from FHWA

SOURCESFatalities injuries and vehicle-miles1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) tables 8 and 9 available at httpwww-nrdnhtsadotgov as of March 2009

Trucks involved in crashes1975-1985 Ibid National Center for Statistics and Analysis Fatality Analysis Reporting System Database and General Estimates System Database personal communication May 25 2006

1990-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2007 Final Edition (Washington DC) table 3 available at httpwww-nrdnhtsadotgov as March 2009

Table 2-24 Bus Occupant Safety Dataa

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Fatalities 53 46 57 32 31 28 18 18 33 21 18 38 59 22 34 45 41 42 58 27 37Injured persons N N N 32691 20959 20144 17056 15767 19214 20291 16887 15559 21958 17769 15427 18819 18174 16410 11000 10000 12000Vehicles involved in crashes N N N 60412 56285 49705 51353 55818 58847 57185 53376 53385 62591 55594 54264 57958 57674 52144 51000 52000 57000Vehicle-miles (millions) 6055 6059 4478 5726 5750 5778 6125 6409 6420 6563 6842 7007 7662 7590 7077 6845 6783 6801 (R) 6980 6783 6976Rates per 100 million vehicle-milesFatalities 09 08 13 06 05 05 03 03 05 03 03 05 08 03 05 07 06 06 (R) 08 04 05Injured persons N N N 571 365 349 278 246 299 309 247 222 287 234 218 275 268 241 (R) 158 147 172Vehicles involved in crashes N N N 1055 979 860 838 871 917 871 780 762 817 732 767 847 850 767 (R) 731 767 817KEY N = data do not exist R = revised

a Bus includes school transit and intercity buses

NOTESThe injury and crash data in this table are from the US Department of Transportation (USDOT) National Highway Traffic Safety Administrations (NHTSA) General Estimates System (GES) The data from GES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes The GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes that were not reported to the police or that did not result in property damage

SOURCESFatalities and injuries

1975-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 4 available at httpwww-nrdnhtsadotgov as of March 2009Vehicle-miles1975-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 (Washington DC July 1997) table VM-201A available at httpwwwfhwadotgovpolicyohpihssindexcfm as March 20091995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at httpwwwfhwadotgovpolicyohpihssindexcfm as March 2009Vehicles involved in crashes1990-2004 Ibid General Estimates System Database personal communication May 25 2006

2005-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts Final Edition (Washington DC Annual issues) table 35 available at httpwww-nrdnhtsadotgov as of March 2009

(R) 1985 (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006Total fatalities 43825 44599 41508 39250 40150 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 43510 42708Fatalities in alcohol-related crashes 21098 20607 18307 16401 16039 15626 15893 15866 14973 14899 14790 15746 15731 15793 15423 15311 15985 15970

Percent 481 462 441 418 399 384 380 377 356 359 355 375 373 367 360 357 367 374BAC = 000

Number 22589 23823 23025 22726 23979 24948 25768 26052 26902 26477 26798 26082 26334 27080 27328 27413 27423 26633Percent 515 534 555 579 597 613 616 619 640 638 642 622 624 630 637 640 630 624

BAC = 001 - 007Number 2974 2901 2480 2352 2300 2236 2416 2415 2216 2353 2235 2422 2441 2321 2327 2212 2404 2479Percent 68 65 60 60 57 55 58 57 53 57 54 58 58 54 54 52 55 58

BAC = 008+Number 18125 17705 15827 14049 13739 13390 13478 13451 12757 12546 12555 13324 13290 13472 13096 13099 13582 13491Percent 414 397 381 358 342 329 322 320 304 302 301 318 315 313 305 306 312 316

Table 2-25 Fatalities by Highest Blood Alcohol Concentration (BAC) in Highway Crashes

In 2001 the NHTSA adopted a new method to estimate missing blood alcohol concentration (BAC) test result data This new method multiple imputation is being used by NHTSAs National Center for Statistics and Analysis (NCSA) to improve the scope of alcohol involvement statistics by the Fatality Analysis Reporting System As a result of the methodology change BAC 008 breakouts which coincide with many state laws can now be determined Thus NHTSAs general reporting categories have been modified to reflect this and are now BAC 000 BAC 001-007 and BAC 008+SOURCE1985-2007 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2007 Table 13 available at httpwww-nrdnhtsadotgov as of Mar 23 2009

KEY BAC = blood alcohol concentration R = revised

NOTES

BAC values have been assigned by US Department of Transportation National Highway Traffic Safety Administration (NHTSA) when alcohol test results are unknown Alcohol-related crashes pertain to the BAC of the driver and nonoccupants struck by motor vehicles For some years numbers may not addto totals due to rounding

Table 2-26 Number of States with Different Types of Anti-DUI DWI Legislation in Effect as of January 1 of the Listed Year

1986 1990 1992 1994 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006BAC = 008 per se lawsa 2 4 5 10 13 13 15 16 (c) 18 (c) 20 (d R) 29 (d) 33 (d) 47 (d) 52 (d) 52BAC level 002 or less for persons younger than 21 years 0 0 3 12 (c) 28 (c) 38 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51 (c) 51Administrative license revocation (ALR) for DUI DWI offendersb

(c) 21 (c) 27 (c) 30 (c) 33 (c) 38 (c) 40 (c) 41 (c) 41 (c) 41 (c) 41 (c) 41 (c) 41 (c) 42 (c) 42 (c) 42KEY BAC = blood alcohol concentration DUI = driving under the influence DWI = driving while intoxicated R = revised

a Per se law makes it illegal in and of itself to drive with an alcohol concentration measured at or above a certain levelb States that impose additional thresholds for ALR beyond those imposed for DUIDWI are not included in these figuresc Includes the District of Columbiad Includes the District of Columbia and Puerto Rico

NOTENational Uniform Minimum Drinking Age Act which standardized the minimum drinking age at 21 was enacted in 1984

SOURCES 002 BAC and Administrative license revocation1986-98 US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Programs Research and Evaluation Division personal communications Apr 9 1999 and Oct 4 19991999-2000 2002-03 Ibid Impaired Driving Division personal communications May 22 2000 Feb 5 2004 and Oct 15 20042001 Ibid Setting Limits Saving Lives (Washington DC April 2001) DOT HS 809-241008 BAC 1986-2000 Ibid Presidential Initiative for Making 008 BAC the National Legal Limit A Progress Report Internet site httpwwwnhtsadotgovpeopleinjuryalcohollimit0808progressreportindexhtml as of Aug 13 20012001 Ibid Setting Limits Saving Lives (Washington DC April 2001) DOT HS 809-2412002 Ibid Impaired Driving Division personal communication Feb 5 20042003 06 Ibid 08 BAC Laws (Washington DC 2004) Internet site httpwwwnhtsadotgovpeopleinjuryalcoholbloodhtm as Oct 19 2004 and personal communication Aug 21 2004 and Aug 17 2007

Table 2-27 Motor Vehicle Fatal Crashes by Day of Week Time of Day and Weather and Light Conditions (percent)1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007

TOTAL fatal crashes 39836 36937 34942 35780 36254 37241 37494 37324 37107 37140 37526 37862 38491 38477 38444 39252 38648 37248Day of weekSunday 161 162 159 158 159 157 152 158 155 157 161 160 159 160 162 159 168 166Monday 117 115 116 121 124 124 127 121 124 126 123 126 122 123 124 126 122 128Tuesday 115 115 115 118 117 118 124 119 124 119 120 121 124 122 116 118 122 116Wednesday 115 119 123 120 123 119 122 130 124 125 122 122 126 126 124 124 122 125Thursday 126 125 133 130 127 130 133 130 135 129 130 127 128 128 133 129 128 124Friday 167 165 161 163 163 166 161 161 158 159 160 162 158 157 160 157 155 155Saturday 200 199 193 190 186 185 182 180 180 185 185 182 182 184 180 186 183 185Unknown 002 003 001 002 004 003 004 005 004 001 001 004 002 005 005 003 000 000Time of dayMidnight to 3 am 157 153 143 138 131 128 126 122 123 122 125 125 131 125 124 128 130 1333 am to 6 am 77 79 74 74 73 75 74 72 73 76 80 76 81 78 79 81 83 856 am to 9 am 86 86 85 89 93 92 95 99 97 101 99 98 97 97 97 99 100 969 am to noon 85 86 88 97 96 94 97 99 102 101 99 100 97 99 99 95 95 94Noon to 3 pm 116 117 124 125 131 129 127 133 134 132 131 132 131 131 133 129 129 1283 pm to 6 pm 157 157 160 160 166 168 169 166 168 168 167 166 160 166 163 165 156 1606 pm to 9 pm 156 156 165 162 157 159 157 159 156 154 153 154 154 153 157 157 156 1569 pm to midnight 159 158 153 147 143 146 146 141 138 138 137 141 141 140 138 138 143 141Unknown 08 08 08 08 08 09 09 09 09 08 09 08 09 10 09 08 08 09Atmospheric conditionNormal 867 867 857 870 873 867 863 864 872 890 880 884 880 873 870 882 895 893Rain 93 90 100 87 83 86 84 88 88 73 71 75 78 78 83 74 73 64Snowsleet 16 19 20 22 18 24 27 25 17 16 23 18 19 22 20 20 12 22Otherunknown 23 24 23 21 25 23 26 23 23 20 26 23 22 27 27 24 21 21Light conditionDaylight 450 454 460 477 495 487 493 503 505 507 505 508 492 502 500 495 484 485Dark but lighted 177 174 174 164 156 160 159 156 149 150 159 157 161 157 158 159 165 168Dark 327 330 324 315 303 307 303 295 300 297 292 290 302 297 296 300 303 303Dawn or dusk 42 39 39 42 42 42 42 42 43 43 41 41 40 39 41 41 42 39Unknown 03 03 03 02 03 04 03 04 03 03 04 04 05 05 04 05 05 05KEY R = revised

SOURCE

US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System (FARS) Web-based encyclopedia available at httpwww-farsnhtsadotgov as of December 2008

Table 2-28 Motor Vehicle Fatal Crashes by Posted Speed Limit1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006 2007

TOTAL fatal crashes 39161 45284 39196 39836 36937 34942 35780 36254 37241 37494 37324 37107 37140 37526 37862 38491 38477 38444 39252 38648 37248Under 55 mph total 15233 20079 19278 19136 17507 16827 16985 16948 17439 17345 17258 17018 16963 17054 17582 17651 17422 (R) 17758 (R) 18461 18327 17609

51015 20 25 mpha 2617 2865 2504 2234 2097 1911 1895 1890 1893 1896 1955 1873 1863 1827 1919 1897 1883 (R) 1904 (R) 1947 1972 203030 35 mph 6099 8527 7890 7756 6908 6696 6759 6565 6681 6445 6383 6025 5946 6079 6260 6090 5995 6064 6337 6347 588240 45 mph 4276 6256 6812 7092 6608 6345 6454 6632 6938 7096 7132 7349 7245 7315 7576 7784 7717 7964 8359 8172 793750 mph 2241 2431 2072 2054 1894 1875 1877 1861 1927 1908 1788 1771 1909 1833 1827 1880 1827 1826 1818 1836 1760

55 mph and above total 16095 20352 18871 19749 18630 17450 18144 18698 19140 19460 19251 19333 19373 19735 19416 19898 19995 19780 19857 19252 1859955 mph 16094 20352 18863 17556 16543 15444 15980 16512 16753 14097 12897 12522 12184 12143 11847 12268 12155 11893 11760 11337 1096260 mph 0 0 2 18 9 4 9 13 16 523 935 1073 1069 1163 1221 1270 1364 1296 1347 1359 131865 mph 1 0 2 2175 2078 2002 2155 2173 2323 3214 3311 3421 3537 3686 3721 3742 3848 3856 3966 3960 379270 mph 0 0 3 0 0 0 0 0 38 1282 1633 1835 2079 2230 2116 2027 2039 2127 2198 2077 2070Over 70 mph 0 0 1 0 0 0 0 0 10 344 475 482 504 513 511 591 589 608 586 519 457

Unknownb 7833 4853 1047 951 800 665 651 608 (R) 662 (R) 689 815 756 804 (R) 737 864 942 1060 906 934 1069 1040KEY mph = miles per hour R = revised

a The No Statutory Limit speed limit designation is included in this categoryb The blank designation is included in this category

NOTESIn 1974 Congress enacted a national maximum speed limit of 55 miles per hour (mph) Amendments in 1987 and 1991 allowed states to increase speed limits to 65 mph on rural Interstates and similar highways The National Maximum Speed Limit was repealed in late 1995 speed limits are again set by the states some of which have raised their maximum speed limits to 70 mph or above

SOURCES1975-93 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Traffic Safety Facts 2000 DOT HS 809 337 (Washington DC December 2001) table 30 and the Fatality Analysis Reporting System (FARS) Web-based Encyclopedia available at httpwww-farsnthsadotgov as of November 2003

1994-2007 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis Fatality Analysis Reporting System (FARS) Web-based encyclopedia available at httpwww-farsnhtsadotgov as of November 2008

1994 1996 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007OVERALL Safety Belt Use 58 61 69 67 71 73 75 79 80 82 81 82Drivers 59 62 70 67 72 74 76 80 81 83 82 83Passengers 55 59 65 64 68 72 73 77 76 78 78 81Passenger carsb 63 64 71 70 74 76 77 81 81 83 82 84Drivers 64 65 72 71 75 77 78 U U U U UPassengers 59 62 68 66 70 74 74 U U U U ULight trucksbc 50 56 66 62 68 69 73 U U U U UDrivers 51 58 67 62 69 70 73 U U U U UPassengers 49 53 61 60 65 69 72 U U U U UVans and sport utility vehiclesc U U U U U U U 83 83 85 84 86Pickup trucksc U U U U U U U 69 70 73 74 72Motorcycle Helmet Used 63 64 67 N 71 N 58 U 58 48 51 58Operators 67 66 64 N 72 N 59 U 63 56 57 59Riders 54 58 84 N 62 N 48 U 41 29 33 56

Table 2-29 Safety Belt and Motorcycle Helmet Use (percent)a

Occupants of commercial and emergency vehicles are excluded

SOURCES

KEY N = data do not exist U = data unavailable

aSeat belt use is as of the Fall each year except in 1999 (December) 2001 (June) 2002 (June) 2003 (June) 2004 (June) 2005 (June) Motorcycle helmet use is as of the Fall each year except in 1996 (January) 2002 (June) 2004 (June) and 2005 (June)b Beginning in 2003 the National Highway Traffic Safety Administration (NHTSA) no longer computes an overall light truck belt use estimate Instead belt use is computed separately for motorists in (1) vans and sport utility vehicles and (2) pickup trucks Additionally NHTSA no longereports seperate statistics for passengers and drivers except at the overall levelc Includes pickup trucks vans minivans and sport utility vehiclesd In 1994 operators and riders were counted as helmeted if wearing any type of helmet Since then only those operators and riders wearing safety helmets that met US Department of Transportation (DOT) standards were counted Those safety helmets that do not meet DOT standards were treated as if the operatorrider were not wearing a helmet

NOTE

Safety belt use1994-2002 US Department of Transportation National Highway Traffic Safety Administration Safety Belt and Helmet Use in 2002 -- Overall Results DOT HS 809 500 (Washington DC 2002) table 1 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARpts2002809-500pdf as of January 2003 2003-04 Ibid Safety Belt Use in 2004 Overall Results Traffic Safety Facts Research Note DOT HS 809 783 (Washington DC 2004) Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2004809783pdf as of Oct1520042005-06 Ibid Safety Belt Use in 2006 Overall Results Traffic Safety Facts Research Note DOT HS 810 677 (Washington DC 2006) Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2005809-932images809932pdf as of June 8 2007

2004 Ibid Motorcycle Helmet Use in 2005 -- Overall Results DOT HS 809 937 (Washington DC 2005) httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2005809-937images809937pdf as of Oct 16 2006 2005-06 Ibid Motorcycle Helmet Use in 2006 -- Overall Results DOT HS 810 678 (Washington DC 2006) httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes2005809-937images809937pdf as of June 8 2007

2007 Ibid Motorcycle Helmet Use in 2007 Overall Results DOT HS 810840 (Washington DC 2007) Internet site httpwww-nrdnhtsadotgovPubs810840PDF as of May 12 2008

2007 Ibid Safety Belt Use in 2007 Overall Results Traffic Safety Facts Research Note DOT HS 810 841 (Washington DC 2007) Internet site httpwww-nrdnhtsadotgovPubs810841PDF as of May 12 2008Motorcycle helmet use1994-98 Ibid Research Note Observed Safety Belt Use in 1998 (Washington DC September 1999) table 3 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARNotes199998obbelthtml as of January 2003 2000 2002 Ibid Safety Belt and Helmet Use in 2002 -- Overall Results DOT HS 809 500 (Washington DC 2002) table 6 Internet site httpwww-nrdnhtsadotgovpdfnrd-30NCSARpts2002809-500pdf as of January 2003

1975-1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Total

1975-2006Safety beltsab 68940 9882 10710 11259 11680 11941 12882 13295 14264 15095 15548 15688 15383 226567Air bagsc 730 536 783 973 1208 1491 1716 1978 2324 2519 2660 2752 2796 22466Motorcycle helmets 15076 624 617 627 660 745 872 947 992 1173 1324 1554 1658 26869Age 21 minimum legal drinking age 14816 851 846 846 861 901 922 927 922 918 927 882 890 25509Child restraints 3107 408 480 444 438 447 479 388 383 447 455 424 425 8325

b In 2002 the National Highway Traffic Safety Administration (NHTSA) revised its method for estimating lives saved by safety beltsThe previous method included survey data from states with and without belt use laws The current method relies on police-reportedrestraint use information for each individual occupant fatality Also the estimate now includes lives saved in passenger vehicles at all seating positions where previously it had been front outboard positions only

Table 2-30 Estimated Number of Lives Saved by Occupant Protection Motorcycle Helmets and Drinking Age Law

KEY R = revised

a Represents all adults and children age 5 and older Data are for passenger vehicles which include cars light trucks vans pickups and utility vehicles Excludes medium and heavy trucks

c In 2002 the National Highway Traffic Safety Administration revised the method for calculating lives saved by air bags

SOURCE

US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2006 (Washington DC 2007) httpwww-nrdnhtsadotgovPubsTSF2006FEPDF as of Mar 26 2008

Section DTransit

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002e 2003 2004 2005Fatalitiesa 339 300 273 281 320 274 264 275 286 299 295 267 280 234 248 236 Injuriesa 54556 52125 55089 52668 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 Accidentsb 58002 46467 36380 30559 29972 25683 25166 24924 23937 23310 24261 23891 13968 7793 7842 8151 Incidentsab (includes accidents) 90163 83139 73531 64986 70693 62471 59392 61561 60094 58703 59898 58149 30331 19797 20939 21016 Vehicle-miles (millions) 2490 2478 2510 2535 2581 2620 2605 2702 2833 2927 3002 3090 3084 3071 3139 3098 Rates per 100 million vehicle-milesc

Fatalities (all reportable incidents) 136 121 109 111 124 105 101 102 101 102 98 86 91 76 79 76Injuries (all reportable incidents) 2191 2103 2195 2077 2254 2183 2122 2078 1976 1890 1889 1746 624 594 605 585Accidents 2329 1875 1450 1205 1161 980 966 922 845 796 808 773 453 254 250 263Property damaged (current $ millions) 380 375 375 449 384 463 576 555 615 553 589 731 322 592 434 717

c Fatality and injury rates are based on total incidents including accidents and were calculated by dividing the number of fatalities injuries and incidents in this table by the number of vehicle miles

NOTES

Table 2-31 Transit Safety and Property Damage Data

Transit vehicle-miles in this table differ from those reported in Chapter 1 The American Public Transit Association which is the source for the vehicle-miles table in Chapter 1 includes all transit systems while Transit Safety and Security Statistics and Analysis Annual Report covers only directly operated urban transit systems Prior to the 2000 edition Transit Safety and Security Statistics and Analysis Report was entitled Safety Management Information Statistics (SAMIS) annual report

US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Report (Cambridge MA 2006) available at httptransit-safetyvolpedotgovDataSamisasp as of March 23 2009

SOURCE

d Total does not include property damage for cable car inclined plane jitney and ferry boat which were 1990ndash$335000 1991ndash$410000 1992ndash$288000 1993ndash$221000 1994ndash$322000 1995ndash$3263000 1996ndash$157000 1997ndash$67000 1998ndash$24000 1999ndash$104000 2000ndash$77000 2001ndash$1605000 2002ndash$254000 2003ndash$15348000 2004ndash$604000 The large increase in excluded property damage reported in 2003 is a result of the Staten Island Ferry incident on Oct 16 2003 which resulted in $15000000 of property damagee The drop in the number of incidents accidents injuries and property damage beginning from 2002 is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Commuter rail data are now derived from the Federal Railroad Administrations Rail Accident Incident Reporting System (RAIRS) In addition the threshold for reporting property damage was changed from $1000 in transit property damage to $7500 in total property damage starting from 2002

Data are provided only for transit systems that furnished safety data for inclusion in the US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports

a Totals do not include data for cable car inclined plane jitney and ferry boat These data appear in the footnotes for table 2-33b Accidents include collisions with other vehicles objects and people (except suicides) and derailmentsbuses going off the road Incidents include accidents plus personal casualties (inside vehicles inside stations and boarding and alighting vehicle) and fires

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Fatalities total 212 215 173 191 225 179 152 185 192 190 183 197 109 120 111 106 121

Motor busc 92 80 91 79 90 69 82 100 90 91 82 89 64 73 61 49 76Light rail 5 11 6 14 10 10 5 3 14 13 22 15 8 13 14 15 11Heavy rail 51 59 33 37 41 43 32 28 18 21 19 26 30 17 15 7 12Commuter rail 63 63 43 59 82 56 30 52 67 64 56 64 7 16 18 28 14Demand responsive 0 2 0 2 2 1 3 2 2 1 4 3 0 1 0 7 7Van pool 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1Automated guideway 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0

Injured persons totale 20023 20594 21653 22081 20939 22159 22950 21452 21341 21727 22140 21260 7771 10271 7829 8102 8062Motor busc 18876 19016 20556 20862 19663 20879 21222 20145 20136 20291 20329 19532 7211 8905 7164 7187 7186Light rail 465 474 468 361 327 355 680 320 332 427 415 305 177 192 245 268 255Heavy rail 296 308 273 365 309 348 431 336 261 286 425 598 90 218 158 86 94Commuter rail 84 560 110 210 216 159 213 99 66 54 53 108 50 102 51 263 100Demand responsive 286 200 233 224 399 395 379 499 492 632 869 679 200 836 174 280 373Van pool 16 36 13 58 24 23 25 52 53 37 49 38 43 18 37 18 47Automated guideway 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 0 7

Accidents totale 58002 46468 36380 30559 29972 25683 25166 24924 23937 23310 24261 23891 13968 7793 7838 (R) 8152 8970Motor busc 55289 44467 34282 28596 27754 23819 23425 22995 22277 21407 22127 21799 12821 6720 6837 (R) 6983 7738Light rail 699 671 600 449 512 309 341 363 328 300 357 344 558 556 490 625 634Heavy rail 144 188 613 662 744 637 346 325 293 396 364 328 183 152 171 117 131Commuter rail 175 248 181 208 266 216 201 192 193 215 258 237 89 89 93 68 77Demand responsive 1613 814 668 524 659 647 774 886 664 862 997 976 283 267 219 249 356Van pool 81 79 35 119 36 54 78 160 179 130 157 207 34 9 28 110 32Automated guideway 1 1 1 1 1 1 1 3 3 0 1 0 0 0 0 0 2

Vehicle-miles (millions) total 2490 2478 2510 2535 2581 2620 2605 2702 2833 2927 3002 3090 3084 3071 3139 3099 3128Motor busc 1668 1661 1688 1690 1702 1702 1687 1719 1779 1835 1868 1911 1919 1876 1891 1853 1849Light rail 24 27 28 27 34 34 37 41 43 48 52 53 60 64 63 67 72Heavy rail 529 522 520 518 522 537 543 558 566 578 595 608 621 630 643 645 649Commuter rail 187 188 188 206 210 217 203 216 242 249 253 257 255 256 279 271 283Demand responsive 74 71 72 77 94 109 108 134 157 167 179 205 172 189 203 196 196Van pool 8 8 13 16 18 19 25 33 44 49 52 54 56 55 58 65 77Automated guideway 06 05 10 10 12 11 14 14 14 14 16 18 18 15 15 2 2

Fatalities all modes 85 87 69 75 87 68 58 68 68 65 61 64 35 39 35 34 39Motor busc 55 48 54 47 53 41 49 58 51 50 44 47 33 39 32 26 41Light rail 208 403 212 511 296 290 133 74 323 271 423 285 133 204 221 224 153Heavy rail 96 113 63 71 79 80 59 50 32 36 32 43 48 27 23 11 18Commuter rail 336 334 229 286 390 258 148 241 276 257 221 249 27 62 65 103 49Demand responsive 00 28 00 26 21 09 28 15 13 06 22 15 00 05 00 36 36Van pool 00 00 00 00 00 00 00 00 00 00 00 00 00 00 52 00 13Automated guideway 1620 00 00 00 00 00 00 00 690 00 00 00 00 00 00 00 00

Injured persons all modese 804 831 863 871 811 846 881 794 753 742 738 688 252 334 249 261 258Motor busc 1132 1145 1218 1234 1155 1227 1258 1172 1132 1106 1088 1022 376 475 379 388 389Light rail 1933 1735 1654 1318 968 1030 1815 785 767 889 798 580 293 302 386 400 354Heavy rail 56 59 52 71 59 65 79 60 46 50 71 98 14 35 25 13 14Commuter rail 45 297 59 102 103 73 105 46 27 22 21 42 20 40 18 97 35Demand responsive 386 282 324 292 425 361 349 372 313 379 485 331 117 443 86 143 190Van pool 208 430 103 363 132 123 101 158 121 75 94 70 77 33 64 28 61Automated guideway 0 0 0 104 85 0 0 70 69 0 0 0 0 0 0 0 389

Accidents all modese 2329 1875 1450 1205 1161 980 966 922 845 796 808 773 453 254 250 263 287Motor busc 3315 2678 2031 1692 1631 1400 1389 1338 1252 1166 1184 1141 668 358 362 377 418Light rail 2906 2456 2121 1639 1516 897 910 891 758 624 687 654 925 874 773 933 881Heavy rail 27 36 118 128 142 119 64 58 52 69 61 54 29 24 27 18 20Commuter rail 93 132 96 101 127 100 99 89 80 86 102 92 35 35 33 25 27Demand response 2177 1147 928 682 702 591 714 661 423 516 557 476 165 141 108 127 182Van pool 1052 944 278 744 198 289 314 485 408 263 301 380 61 16 48 169 42Automated guideway 162 204 102 104 85 87 69 209 207 0 62 0 0 0 0 0 111

NOTES

SOURCEUS Department of Transportation Federal Transit Administration 2002 Safety and Security Statistics personal communications Oct 8 2004 Apr 22 2005 Apr 24 2006 and June 14 2007 June 18 2008

d Rates are based on total incidents including accidents and were calculated by dividing the number of fatalities injuries and incidents in this table by the number of vehicle-miles

Analysts for the FTA believe the change in reporting requirements in 2002 may have resulted in unreliable data in that yearparticularly for injuries and accidents The reliability of reporting is believed to be much better in 2003 and is expected to improve in the future

Rates per 100 million vehicle-milesd

Data are provided only for transit systems that furnished safety data for inclusion in the US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports Data covers only directly operated urban transit systems Vehicle-miles for all transit systems including nonurban and purchased can be found in the vehicle-miles table in chapter 1Prior to the 2000 edition Transit Safety and Security Statistics and Analysis Report was entitled Safety Management Information Statistics (SAMIS) annual report

e In 2002 the drop in the number of accidents and injuries is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Commuter rail data are now derived from the Federal Railroad Administrations Rail Accident Incident Reporting System (RAIRS)

a Accident statistics for cable car inclined plane jitney and ferry boat are not available The number of incidents fatalities and injuries for these modes appear in the footnotes for table 2-33ab Accidents include collisions with vehicles objects people (except suicides) and derailmentsvehicles going off roadc Motor bus also includes trolley bus

Numbers may not add to totals due to rounding

Table 2-32 Transit Safety Data by Modea for All Reported Accidentsb

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Fatalities total 339 300 273 281 320 274 264 275 286 299 295 267 280 234 248 236 227

Motor busc 110 88 99 83 108 82 101 109 109 102 90 95 78 87 77 66 94Light rail 7 13 9 15 13 15 6 3 23 17 30 21 13 17 22 19 17Heavy rail 117 103 91 83 85 79 74 77 54 84 80 59 73 49 59 35 23Commuter rail 104 93 74 98 112 92 72 79 94 95 87 87 116 77 86 105 85Demand responsive 0 3 0 2 2 6 11 7 4 1 8 5 0 4 0 8 7Van pool 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1Automated guideway 1 0 0 0 0 0 0 0 2 0 0 0 0 0 1 3 0

Injured persons totalf 54556 52125 55089 52668 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 19238Motor busc 40006 38619 40090 38873 42195 41297 39709 39181 41035 41221 40925 38840 11995 11493 11898 11560 11812Light rail 1244 1251 1268 982 1181 1319 1604 1087 1076 1271 1338 1201 557 539 633 618 659Heavy rail 10036 9285 10446 10532 11673 11238 11093 12285 11059 9665 10848 10641 4806 4158 4738 3814 4721Commuter rail 2438 2308 2546 1560 2374 2374 1953 2388 1677 1761 1783 1813 1483 1597 1364 1672 1426Demand responsive 807 622 713 652 731 935 882 1121 1064 1345 1736 1374 347 401 296 447 553Van pool 21 40 19 59 29 25 27 54 67 41 52 40 44 18 38 18 48Automated guideway 4 0 7 10 10 8 20 16 12 21 15 36 28 29 15 2 19

All incidents totalf 90163 83139 73531 64986 70693 62471 59392 61561 60094 58703 59898 58149 30331 19797 20939 21016 22593Motor busc 70437 63453 52182 45580 49185 42780 40456 40524 41616 41094 41677 40321 19892 11053 11787 11940 13112Light rail 1465 1543 1492 1136 1413 1276 1350 1173 1121 1182 1319 1299 1105 983 931 1130 1138Heavy rail 12178 14102 15512 15082 15869 14327 13748 15151 13516 12196 12782 12406 7078 5554 6222 5741 6176Commuter rail 3031 2716 3160 2111 3115 2847 2449 3078 2410 2499 2072 2159 1720 1749 1598 1663 1575Demand responsive 2965 1241 1137 946 1062 1173 1284 1454 1221 1577 1871 1719 478 414 353 426 547Van pool 84 83 40 121 39 58 80 162 194 135 160 209 35 11 29 110 33Automated guideway 3 1 8 10 10 10 25 19 16 20 17 36 23 33 19 6 12

Unlinked passenger trips (millions)d total 7646 7380 7318 7059 7335 7172 7211 7615 7774 8149 8337 8554 8519 8230 8246 (R) 8427 8589

Motor busc 4912 4780 4728 4585 4567 4539 4464 4554 4712 4926 4959 5065 5078 4810 4732 4815 4822Light rail 174 184 187 187 274 249 259 259 273 289 316 327 333 334 345 372 396Heavy rail 2252 2123 2119 1960 2149 2034 2157 2429 2393 2521 2632 2728 2688 2667 2748 2806 2920Commuter rail 286 274 262 303 318 322 302 311 360 374 388 390 380 375 377 383 399Demand responsive 14 13 13 15 17 18 17 48 22 23 24 27 23 25 25 26 26Van pool 2 2 3 4 5 5 6 8 9 10 10 10 10 11 10 12 15Automated guideway 6 4 5 5 6 6 6 6 6 5 6 8 8 8 9 (R) 12 11

Rates per 100 million unlinked passenger trips (millions)e

Fatalities all modes 44 41 37 40 44 38 37 36 37 37 35 31 33 28 30 (R) 28 26Motor busc 22 18 21 18 24 18 23 24 23 21 18 19 15 18 16 14 19Light rail 40 71 48 80 47 60 23 12 84 59 95 64 39 51 64 51 43Heavy rail 52 49 43 42 40 39 34 32 23 33 30 22 27 18 21 12 08Commuter rail 364 339 283 324 352 286 238 254 261 254 224 223 306 205 228 274 213Demand responsive 00 226 00 135 120 339 655 146 181 43 328 186 00 159 00 (R) 305 271Van pool 00 00 00 00 00 00 00 00 00 00 00 00 00 00 287 00 67Automated guideway 170 00 00 00 00 00 00 00 325 00 00 00 00 00 107 (R) 260 00

Injured persons all modesf 714 706 753 746 793 798 767 737 720 679 680 631 226 222 230 215 224Motor busc 815 808 848 848 924 910 890 860 871 837 825 767 236 239 251 240 245Light rail 715 682 677 524 432 529 620 419 394 440 423 368 167 162 183 166 166Heavy rail 446 437 493 537 543 553 514 506 462 383 412 390 179 156 172 136 162Commuter rail 853 843 972 516 747 738 646 769 466 471 459 465 391 425 362 437 357Demand responsive 5835 4678 5393 4401 4390 5286 5251 2336 4821 5846 7113 5117 1524 1593 1189 (R) 1707 2140Van pool 1037 1721 584 1398 638 537 461 701 773 411 524 405 453 167 364 (R) 144 322Automated guideway 68 0 127 194 160 123 317 272 195 389 239 464 364 353 160 (R) 17 170

All incidents all modesf 1179 1126 1005 921 964 871 824 808 773 720 718 680 356 241 254 249 263Motor busc 1434 1327 1104 994 1077 943 906 890 883 834 840 796 392 230 249 248 272Light rail 842 841 796 606 516 512 522 452 411 410 417 398 331 295 270 304 287Heavy rail 541 664 732 769 738 705 637 624 565 484 486 455 263 208 226 205 212Commuter rail 1060 991 1207 698 980 885 810 991 670 668 533 554 453 466 424 (R) 435 394Demand responsive 21440 9333 8600 6385 6378 6632 7644 3030 5532 6854 7666 6402 2099 1645 1418 (R) 1626 2117Van pool 4147 3570 1229 2867 858 1245 1366 2104 2238 1353 1611 2116 360 102 277 (R) 881 221Automated guideway 51 28 145 194 160 154 396 323 260 371 271 464 299 401 203 (R) 52 107

Other Modes 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Fatalities 2 1 0 1 0 0 1 0 0 0 0 1 2 12 0 0 1

Injuries 378 327 399 383 616 598 354 357 379 1091 762 897 35 133 58 18 40

Incidents 186 411 400 411 650 536 301 353 253 1078 745 891 69 90 59 25 42

Table 2-33a Transit Safety Data by Modea for All Reported Incidentsb

Analysts for the FTA believe the change in reporting requirements in 2002 may have resulted in unreliable data in that year particularly for injuries and incidents The reliability of reporting is believed to be much better in 2003 and is expected to improve in the future

NOTES

SOURCE

a The figures for cable car inclined plane jitney and ferry boat are lumped together and appear in this footnote Note that the 2003 data include 11 fatalities and 70 injuries that resulted from the Oct 16 2003 Staten Island Ferry incident

b Incidents include accidents (collisions with vehicles objects people (except suicides) derailmentsvehicles going off road) plus personal casualties fires and property damage associated with transit agency revenue vehicles and all transit facilitiesc Motor bus also includes trolley busd The number of unlinked passenger trips is equivalent to the number of passengers who board public transit vehicles Passengers are counted each time they board a vehicle regardless of how many vehicles are necessary for a passenger to get to their destination

US Department of Transportation Federal Transit Administration 2004 Transit Safety and Security Statistics and Analysis Report (Cambridge MA 2005) and personal communications Oct 13 2004 Apr 22 2005 Apr 24 2006 June 14 2007 and June 18 2008

e Rates are based on total incidents including accidents and were calculated by dividing the number of fatalities injuries and incidents in this table by the number of unlinked passenger tripsf In 2002 the drop in the number of incidents and injuries is due largely to a change in definitions by the Federal Transit Administration particularly the definition of injuries Only injuries requiring immediate medical treatment away from the scene now qualify as reportable Previously any injury was reportable Commuter rail data are now derived from the Federal Railroad Administrations Rail Accident Incident Reporting System (RAIRS)

Data are provided only for transit systems that furnished safety data for inclusion in the US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports Data covers only directly operated urban transit systems Vehicle-miles for all transit systems including nonurban and purchased can be found in the vehicle-miles table in chapter 1Prior to the 2000 edition Transit Safety and Security Statistics and Analysis Report was entitled Safety Management Information Statistics (SAMIS) annual report

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006All transit rail total 186 152 159 171 196 197 167 202 143 167 159 125

Transit only 169 145 147 145 175 177 154 178 122 138 101 92Grade crossing 17 7 12 26 21 20 13 24 21 29 58 33

Light rail total 15 6 3 23 17 30 21 13 17 22 19 17Transit only N N N N N 18 20 12 13 12 9 9Grade crossing N N N N N 12 1 1 4 10 10 8

Heavy rail total 79 74 77 54 84 80 59 73 49 59 35 23Transit only N N N N N 80 58 73 48 58 35 22Grade crossing N N N N N 0 1 0 1 1 0 1

Commuter rail total 92 72 79 94 95 87 87 116 77 86 105 85Transit only N N N N N 79 76 93 61 68 57 61Grade crossing N N N N N 8 11 23 16 18 48 24

1995-2006 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) Internet site httptransit-safetyvolpedotgov as of Apr 5 2006 and personal communications June 8 2005 Apr 5 2006 June 14 2007 June 18 2008

Light rail and heavy rail grade crossings are regulated by the Federal Transit Administration The Federal Transit Adminstration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

Commuter rail grade crossings are regulated by the Federal Railroad Administration The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade

SOURCE

Table 2-33b Transit and Grade-Crossing Fatalities by Rail Transit Mode

KEY N = data do not exist

NOTES

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006All transit rail total 14931 14650 15760 13812 12697 13969 13655 6846 6294 6735 6104 6806

Transit only 14736 14466 15634 13754 12538 13846 13581 6738 6177 6582 5910 6598Grade crossing 195 184 126 58 159 123 74 108 117 153 194 208

Light rail total 1319 1604 1087 1076 1271 1338 1201 557 539 633 618 659Transit only N N N N N 1227 1147 481 471 519 458 505Grade crossing N N N N N 111 54 76 68 114 160 154

Heavy rail total 11238 11093 12285 11059 9665 10848 10641 4806 4158 4738 3814 4721Transit only N N N N N 10847 10634 4801 4158 4738 3813 4721Grade crossing N N N N N 1 7 5 0 0 1 0

Commuter rail total 2374 1953 2388 1677 1761 1783 1813 1483 1597 1364 1672 1426Transit only N N N N N 1772 1800 1456 1548 1325 1639 1372Grade crossing N N N N N 11 13 27 49 39 33 54

SOURCE

1995-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) Internet site httptransit-safetyvolpedotgov as of Apr 5 2006 and personal communications June 8 2005 Apr 5 2006 June 14 2007 June 18 2008

Table 2-33c Transit and Grade-Crossing Injuries by Rail Transit Mode

KEY N = data do not exist

NOTES

Light rail and heavy rail grade crossings are regulated by the Federal Transit Administration The Federal Transit Adminstration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets Commuter rail grade crossings are regulated by the Federal Railroad Administration The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at gradeData thresholds changed for certain elements beginning with 2002 The extreme drop in the incidents injuries collisions and not otherwise classifieds (personal casualties) for 2002 is due to the change of the incident thresholds specifically the definition of injuries in the NTD The injury definition was changed for the 2002 revision of the NTD to coincide with other USDOT modes Only incidents involving immediate medical treatment away from the scene now qualify as reportable injuries Previously any reported incidentinjury was reported to NTD It was felt that this resulted in the collection of claims-based as opposed to safety-based data

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006All transit rail total 18450 17547 19402 17047 15877 16173 15864 9903 8286 8751 8534 8889

Transit only 18323 17413 19283 16941 15737 16025 15763 9505 8010 8440 7999 8713Grade crossing 127 134 119 106 140 148 101 398 276 311 535 176

Light rail total 1276 1350 1173 1121 1182 1319 1299 1105 983 931 1130 1138Transit only 1178 1253 1107 1055 1079 1213 1245 785 766 693 689 1041Grade crossing 98 97 66 66 103 106 54 320 217 238 441 97

Heavy rail total 14327 13748 15151 13516 12196 12782 12406 7078 5554 6222 5741 6176Transit only 14325 13746 15146 13513 12195 12781 12398 7076 5553 6221 5740 6173Grade crossing 2 2 5 3 1 1 8 2 1 1 1 3

Commuter rail total 2847 2449 3078 2410 2499 2072 2159 1720 1749 1598 1663 1575Transit only 2820 2414 3030 2373 2463 2031 2120 1644 1691 1526 1570 1499Grade crossing 27 35 48 37 36 41 39 76 58 72 93 76

1995-2005 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (Washington DC Annual issues) Internet site httptransit-safetyvolpedotgov as of Apr 5 2006 and personal communications June 8 2005 Apr 5 2006 June 14 2007 June 18 2008

Commuter rail grade crossings are regulated by the Federal Railroad Administration The Federal Railroad Administration defines a grade crossing as a location where a public highway road street or private roadway including associated sidewalks and pathways crosses one or more railroad tracks at grade

Data thresholds changed for certain elements beginning with 2002 The extreme drop in the incidents injuries collisions and not otherwise classifieds (personal casualties) for 2002 is due to the change of the incident thresholds specifically the definition of injuries in the NTD The injury definition was changed for the 2002 revision of the NTD to coincide with other USDOT modes Only incidents involving immediate medical treatment away from the scene now qualify as reportable injuries Previously any reported incidentinjury was reported to NTD It was felt that this resulted in the collection of claims-based as opposed to safety-based data

SOURCE

Table 2-33d Transit and Grade-Crossing Incidents by Rail Transit Mode

NOTES

Light rail and heavy rail grade crossings are regulated by the Federal Transit Administration The Federal Transit Adminstration defines two types of grade crossings (1) At grade mixed and cross traffic crossings meaning railway right-of-way over which other traffic moving in the same direction or other cross directions may pass This includes city street right-of-way (2) At grade with cross traffic crossings meaning railway right-of-way over which no other traffic may pass except to cross at grade-level crossings This can include median strip rights-of-way with grade level crossings at intersecting streets

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Reported Offenses Violent CrimeHomicidea 19 20 19 51 21 12 16 0 4 1 1 2

Motor bus 8 9 6 40 7 7 8 0 2 0 1 0Commuter rail 1 1 4 1 3 1 2 0 1 0 0 2Demand responsive 0 0 0 0 0 0 0 0 0 0 0 0Heavy rail 8 9 8 6 11 4 4 0 1 1 0 0Light rail 2 1 1 4 0 0 2 0 0 0 0 0

Otherb 0 0 0 0 0 0 0 0 0 0 0 0

Forcible rapec 29 38 31 47 27 37 37 65 25 24 23 5Motor bus 11 13 10 16 14 10 7 40 2 7 11 1Commuter rail 5 4 7 1 3 3 5 1 3 0 2 0Demand responsive 0 0 2 4 1 0 1 0 0 1 0 0Heavy rail 13 19 8 24 8 20 9 20 15 12 4 3Light rail 0 2 4 2 0 4 2 4 5 4 6 1

Otherb 0 0 0 0 1 0 13 0 0 0 0 0

Robberyd 2811 4563 4760 3684 3789 3480 3308 1641 1408 1561 1656 2222Motor bus 909 871 870 605 764 916 953 386 369 476 535 730Commuter rail 181 242 187 133 183 144 144 89 29 44 107 126Demand responsive 1 3 0 1 3 4 4 7 1 0 2 14Heavy rail 1490 3164 3394 2686 2588 2174 1966 864 762 676 630 861Light rail 181 238 222 220 200 213 217 287 236 353 377 463

Otherb 49 45 87 39 51 29 24 8 11 12 5 28

Aggravated assaulte 2701 3084 3105 2314 2448 2217 2286 2560 1638 1330 1332 1768Motor bus 1941 1677 1294 1186 1268 1070 1146 1383 957 774 760 1007Commuter rail 133 69 92 80 97 58 109 102 33 78 115 172Demand responsive 6 13 13 13 14 16 8 24 4 3 6 19Heavy rail 437 1074 1051 837 903 839 786 815 395 279 249 334Light rail 157 199 143 170 135 208 187 227 220 184 177 217

Otherb 27 52 512 28 31 26 50 9 29 12 25 19

Reported Offenses Property CrimeTheftf 10596 13238 14486 11830 12896 13393 13636 12843 8146 7847 6007 6409

Motor bus 2738 3408 2920 2327 2487 2548 2826 2631 1846 1787 1593 1520Commuter rail 2238 2262 2345 2021 1872 2139 2001 1912 563 730 1224 1449Demand responsive 2 8 40 15 4 19 5 42 8 4 2 13Heavy rail 4625 6794 8321 6807 7789 7856 7807 7158 4802 4396 2204 2527Light rail 451 609 479 496 530 724 706 1055 877 915 856 847Otherb 542 157 381 164 214 107 291 45 50 15 128 53

Vehicle theftg 2182 2261 2276 2225 1876 2112 1909 2117 1800 1584 1361 1051Motor bus 263 306 198 208 198 169 213 222 149 169 382 229Commuter rail 253 125 262 470 272 367 308 152 67 63 54 126Demand responsive 0 1 3 9 28 6 6 5 3 1 0 8Heavy rail 1536 1694 1630 1234 1203 1285 1143 1426 1267 966 490 388Light rail 128 135 179 273 156 279 226 310 306 385 434 298

Otherb 2 0 4 31 19 6 13 2 8 0 1 2

Burglaryh 1759 1650 1757 491 415 563 625 467 429 601 393 681Motor bus 156 104 94 75 86 142 120 95 79 160 142 100Commuter rail 178 177 260 217 170 191 188 78 83 96 112 154Demand responsive 2 0 4 3 1 6 2 2 2 1 1 1Heavy rail 1367 1278 1343 110 91 82 119 95 53 40 25 54Light rail 43 78 48 70 42 131 180 197 212 303 105 367

Otherb 13 13 8 16 25 11 16 0 0 1 8 5

Arsoni 63 96 75 60 53 50 44 23 23 42 27 26Motor bus 29 67 33 21 15 24 12 8 9 23 11 13Commuter rail 14 1 21 10 12 6 9 8 3 2 2 1Demand responsive 0 0 0 0 0 0 0 0 0 0 0 0Heavy rail 14 22 16 27 20 16 15 4 10 7 2 5Light rail 6 6 5 2 6 4 8 0 1 10 12 6

Otherb 0 0 0 0 0 0 0 3 0 0 0 1

Reported Offenses ArrestsOther assaultsj 2991 3088 2697 2787 2641 2799 2441 1589 1752 1546 1530 2141

Motor bus 1896 1571 1439 1400 1217 1159 1024 715 800 710 703 1023Commuter rail 144 106 140 122 164 142 156 72 37 136 181 196Demand responsive 4 0 16 3 4 3 6 12 2 3 3 29Heavy rail 645 932 881 898 888 1085 999 662 750 572 462 630Light rail 181 330 195 282 269 354 204 101 153 107 164 214

Otherb 121 149 26 82 99 56 52 27 10 18 17 49

Table 2-34 Reports of Violent Crime Property Crime and Arrests by Transit Mode

Vandalismk 17228 8627 9539 6571 6895 7312 2971 1130 953 994 1298 1748Motor bus 13343 6167 5262 3656 4178 4579 1410 523 456 429 568 589Commuter rail 1071 309 659 778 507 264 293 145 9 122 276 507Demand responsive 12 17 8 10 16 7 9 7 2 0 5 5Heavy rail 1157 1339 1128 1067 1222 1200 984 190 220 201 209 213Light rail 1505 609 2084 947 892 1215 246 256 246 235 233 408

Otherb 140 186 398 113 80 47 29 9 20 7 7 26

Sex offensesl 664 803 1047 962 1009 844 798 N N N N NMotor bus 242 260 363 258 321 220 178 N N N N NCommuter rail 100 41 82 91 85 84 80 N N N N NDemand responsive 5 0 6 2 5 1 3 N N N N NHeavy rail 249 430 517 541 515 477 474 N N N N NLight rail 59 71 79 68 80 58 60 N N N N NOtherb 9 1 0 2 3 4 3 N N N N N

Drug abuse violationsm 2578 3944 4355 3792 4131 4083 4339 N N N N NMotor bus 1037 2122 1970 1414 1705 1443 1179 N N N N NCommuter rail 303 393 477 495 303 196 389 N N N N NDemand responsive 1 0 15 21 8 1 2 N N N N NHeavy rail 1078 1130 1530 1550 1606 1915 2015 N N N N NLight rail 151 298 336 271 501 520 739 N N N N NOtherb 8 1 27 41 8 8 15 N N N N N

Driving under the influencen 466 129 205 176 204 194 284 N N N N NMotor bus 91 82 101 101 132 67 156 N N N N NCommuter rail 26 21 22 21 12 44 26 N N N N NDemand responsive 0 0 1 4 0 0 1 N N N N NHeavy rail 52 8 22 21 42 39 57 N N N N NLight rail 292 16 31 21 15 33 22 N N N N NOtherb 5 2 28 8 3 11 22 N N N N N

Drunkennesso 10479 6921 8632 12643 11487 6087 8033 N N N N NMotor bus 6457 3936 5346 3046 3609 3337 4693 N N N N NCommuter rail 71 23 226 156 112 170 108 N N N N NDemand responsive 2 2 46 34 2 1 4 N N N N NHeavy rail 1511 1617 1601 7340 5831 1240 1308 N N N N NLight rail 2255 1305 1258 1844 1913 1316 1598 N N N N NOtherb 183 38 155 223 20 23 322 N N N N N

Disorderly conductp 22206 26178 25325 15897 15971 27314 32569 N N N N NMotor bus 4681 5025 6978 4521 5471 3745 3253 N N N N NCommuter rail 810 1085 1399 1525 797 706 607 N N N N NDemand responsive 5 8 47 5 5 6 2 N N N N NHeavy rail 15258 19183 15309 8227 7856 21087 27626 N N N N NLight rail 1164 800 1177 1408 1767 1737 1046 N N N N NOtherb 288 77 415 211 75 33 35 N N N N N

Trespassingq 3362 3497 7444 6049 3670 4303 4597 2278 4126 3162 3220 4503Motor bus 928 604 1225 1283 1065 1329 1040 937 1262 1115 1138 1392Commuter rail 845 674 4150 2850 1080 709 1034 475 270 664 730 1033Demand responsive 0 0 2 2 0 0 0 13 2 1 12 36Heavy rail 1155 1208 1398 1254 1044 1267 1228 483 616 663 634 853Light rail 400 653 463 443 436 985 1278 349 1951 699 677 1151

Otherb 34 358 206 217 45 13 17 21 25 20 29 38

Fare evasionr 33903 47873 53406 58856 55194 53863 47258 74385 69950 103156 129590 126092Motor bus 3172 2372 1819 1694 2388 591 847 3089 7427 10270 21787 4372Commuter rail 140 334 310 204 167 179 566 3849 3873 73 194 11768Demand responsive 1 1 2 5 1 3 5 201 1 43 2 448Heavy rail 8247 39957 46106 40350 35033 28933 24852 20469 16459 25775 15901 12611Light rail 22212 1185 912 12798 17320 24124 20945 46766 42187 66991 91701 96868

Otherb 131 4024 4257 3805 285 33 43 11 3 4 5 25

Curfew and loitering lawss 1878 872 1960 1161 3022 3630 3391 N N N N NMotor bus 1201 241 1112 291 495 469 403 N N N N NCommuter rail 19 27 223 72 172 329 330 N N N N NDemand responsive 0 1 5 0 0 0 0 N N N N NHeavy rail 462 493 530 680 1789 2324 2396 N N N N NLight rail 161 95 80 106 509 498 251 N N N N NOtherb 35 15 10 12 57 10 11 N N N N N

KEY N = data do not exist

d The taking or attempting to take anything of value from the care custody or control of a person or persons by force or threat of force or violence andor by putting the victim in fear The use or threat of force includes firearms knives or cutting instruments other dangerous weapons (clubs acid explosives) and strong-arm techniques (hands fists feet)

a The killing of one or more human beings by another This includes murder non-negligent manslaughter and manslaughter by negligence b Other transit mode includes automated guideway cable car ferryboat trolleybus vanpool monorail inclined plane and starting in 2001 the Alaska Railroadc The carnal knowledge of a female forcibly and against her will This includes assault to rape or attempt to rape Beginning in 2006 a higher threshold was required for an incident to be recorded this lead to a significant decrease compared to previous years

e An unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm f The unlawful taking carrying leading or riding away of property from the possession or constructive possession of another This includes pocket-picking purse-snatching shoplifting thefts from motor vehicles thefts of motor vehicle parts and accessories theft of bicycles theft from buildings theft from coin-operated devices or machines and all other theft not specifically classified g The theft or attempted theft of a motor vehicle A motor vehicle is a self-propelled vehicle that runs on the surface of land and not on rails Examples of motor vehicles are automobiles trucks buses motor cycles and motor scooters

h The unlawful entry of a structure to commit a felony or a theft This includes offenses known locally as burglary (any degree) unlawful entry with intent to commit a larceny or felony breaking and entering with intent to commit a larceny housebreaking safe-cracking and all attempts at these offenses i To unlawfully and intentionally damage or attempt to damage any real or personal property by fire or incendiary devicej An unlawful attack or attempt by one person upon another where no weapon was used or which did not result in serious or aggravated injury to the victim This includes simple assault minor assault assault and battery injury by culpable negligence intimidation coercion hazing and all attempts to commit these offenses k The willful or malicious destruction injury disfigurement or defacement of any public or private property real or personal without consent of the owner orperson having custody or control by cutting tearing breaking marking painting drawing covering with filth or any other such means as may be specified by local law l Any sexual acts except forcible rape prostitution and commercialized vice This includes offenses against chastity common decency morals and the like such as adultery and fornication buggery incest indecent exposure indecent liberties seduction sodomy or crime against nature statutory rape (noforce) and all attempts to commit any of the above m Arrests requested based on the narcotics used This includes all arrests for violations of state and local laws specifically those relating to the unlawful possession sale use growing manufacturing and making of narcotic drugs n The driving or operating of any vehicle or common carrier while drunk or under the influence of liquor or narcoticso Arrests for all offenses of drunkenness which is the consumption of alcoholic beverages to the extent that onersquos mental faculties and physical coordination are substantially impaired This includes drunkenness drunk and disorderly common or habitual drunkard and intoxication p All charges of committing a breach of the peace This includes affray unlawful assembly disturbing the peace disturbing meetings disorderly conduct instate institutions at court at fairs on trains or public conveyances etc blasphemy profanity and obscene language desecrating the flag refusing to assist an officer and all attempts to commit any of the above q To unlawfully enter land a dwelling or other real propertyr The unlawful use of transit facilities by riding without paying the applicable fares All arrests for violations of local curfew or loitering ordinances where such laws exist

NOTESData are from transit agencies in urbanized areas over 200000 population and include patrons employees and others The figures for violent and property crime follow the FBI Uniform Crime Reporting Handbook (Washington DC 1984) and are based on records of calls for service complaints andor investigations These figures are for reported offenses and do not reflect the findings of a court coroner jury or decision of a prosecutor Security data was first reported to the Federal Transit Administration in 1995 and were not compiled for earlier years

1995-2001 US Department of Transportation Federal Transit Administration National Transit Database Internet site httpwwwntdprogramcom as of May 6 2003 tables 25-27 and similar tables in earlier editions 2002-05 Ibid personal communications June 14 20072006-07 Personal communication Federal Transit Administrarion Office of Safety and Security as of Apr 30 2008

Beginning in 2002 data are no longer collected for the following offenses sex offenses drug abuse violations driving under the influence drunkeness disorderly conduct and curfew and loitering laws Analysts for the FTA believe the change in reporting requirements in 2002 may have resulted in unreliable data in that year The reliability of reporting is believed to be much better in 2003 and is expected to improve in the future

SOURCES

Section ERailroad

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Passengers on trains 4 3 3 8 3 58 5 0 12 6 4 14 4 3 7 3 3 16 2 4

Railroad only 4 3 3 8 3 58 5 0 12 6 2 3 4 3 7 2 3 16 2 4Grade crossing 0 0 0 0 0 0 0 0 0 0 2 11 0 0 0 1 0 0 0 0

Employees on duty 97 46 40 35 34 47 31 34 33 37 27 31 24 22 20 19 25 25 16 17Railroad only 97 44 35 34 32 44 30 32 32 37 23 29 22 21 19 18 23 23 12 16Grade crossing 0 2 5 1 2 3 1 2 1 0 4 2 2 1 1 1 2 2 4 1

Employees not on duty 4 2 0 1 1 4 0 2 0 0 2 0 1 0 1 1 0 0 0 0Railroad only 3 2 0 1 1 4 0 2 0 0 2 0 1 0 1 1 0 0 0 0Grade crossing 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Contractor employees 7 4 3 3 11 6 3 7 9 11 5 12 3 4 10 5 4 5 7 5Railroad only 7 4 3 3 10 6 3 7 9 11 5 11 3 4 9 4 4 5 7 5Grade crossing 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0

Nontrespassersa 739 507 551 484 475 489 505 443 365 363 326 305 335 269 267 205 242 (R) 249 (R) 237 200Railroad only 16 10 15 16 12 18 44 32 27 15 9 8 19 11 18 8 18 (R) 23 2 15Grade crossing 723 497 536 468 463 471 461 411 338 348 317 297 316 258 249 197 224 (R) 226 (R) 235 185

Trespassers 566 474 700 663 646 675 682 660 620 646 644 570 570 673 646 635 621 (R) 593 (R) 648 630Railroad only 457 391 543 524 533 523 529 494 471 533 536 479 463 511 540 501 475 (R) 463 (R) 518 477Grade crossing 109 83 157 139 113 152 153 166 149 113 108 91 107 162 106 134 146 (R) 130 (R) 130 153

Volunteer employees N N N N N N N N N 0 0 0 0 0 0 0 0 0 0 0Railroad only N N N N N N N N N 0 0 0 0 0 0 0 0 0 0 0Grade crossing N N N N N N N N N 0 0 0 0 0 0 0 0 0 0 0

Railroad only and grade crossing total 1417 1036 1297 1194 1170 1279 1226 1146 1039 1063 1008 932 937 971 951 868 895 (R) 888 (R) 910 856Railroad only 584 454 599 586 591 653 611 567 551 602 577 530 512 550 594 534 523 (R) 530 (R) 541 517Grade crossing 833 582 698 608 579 626 615 579 488 461 431 402 425 421 357 334 372 358 (R) 369 339

Motor vehicles 748 521 614 535 506 554 542 508 415 419 369 345 361 345 310 281 290 (R) 283 304 263Nonmotor vehicles 85 61 84 73 73 72 73 71 73 42 62 57 64 76 47 53 82 (R) 75 (R) 65 76

KEY N = data do not exist R = revised

Table 2-35 Railroad and Grade-Crossing Fatalities by Victim Class

1995-2007 Ibid Table 408 and personal communication Internet site httpsafetydatafradotgovOfficeofSafety as of May 14 2008

a Beginning in 1997 nontrespassers off railroad property are also included

SOURCES

Railroad only includes fatalities from train accidents train incidents and nontrain incidents (excludes highway-rail grade crossings) This table includes information for both freight and passenger railroad operations

NOTE

1980-94 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) and the AccidentIncident Bulletin (Washington DC Annual issues)

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Passengers on trains 593 657 473 382 411 559 497 573 513 601 535 481 658 746 877 726 697 935 757 814

Railroad only 569 646 462 360 329 515 413 543 489 558 516 438 648 726 851 652 670 902 670 762Grade crossing 24 11 11 22 82 44 84 30 24 43 19 43 10 20 26 74 27 33 87 52

Employees on duty 56331 29822 20970 19626 17755 15363 13080 10777 9199 8595 8398 8622 8423 7815 6644 6248 6018 5804 5212 5173Railroad only 56186 29667 20801 19479 17598 15220 12955 10654 9120 8484 8276 8482 8323 7718 6534 6173 5902 5694 5119 5074Grade crossing 145 155 169 147 157 143 125 123 79 111 122 140 100 97 110 75 116 110 93 99

Employees not on duty 671 419 326 362 310 348 306 252 228 263 219 216 286 209 213 0 200 172 169 176Railroad only 669 418 324 362 309 347 305 248 226 260 216 215 283 208 213 0 196 169 167 175Grade crossing 2 1 2 0 1 1 1 4 2 3 3 1 3 1 0 0 4 3 2 1

Contractor employees 74 110 242 219 226 262 252 269 208 334 380 384 368 383 375 372 360 414 404 434Railroad only 74 109 240 216 224 261 251 268 208 333 379 384 367 380 374 370 359 412 404 405Grade crossing 0 1 2 3 2 1 1 1 0 1 1 0 1 3 1 2 1 2 0 29

Nontrespassersa 3849 2562 2339 2110 1909 1856 1913 1869 1660 1540 1236 1342 1294 1201 2380 1056 1242 1450 1181 1090Railroad only 384 285 349 423 408 432 475 372 431 370 243 335 381 388 1732 391 548 822 539 529Grade crossing 3465 2277 1990 1687 1501 1424 1438 1497 1229 1170 993 1007 913 813 648 665 694 628 642 561

Trespassers 728 734 793 769 772 733 764 700 750 728 677 650 606 627 609 616 656 685 702 651Railroad only 474 492 560 534 540 509 452 461 474 516 513 445 414 404 395 398 404 417 474 393Grade crossing 254 242 233 235 232 224 312 239 276 212 164 205 192 223 214 218 252 268 228 258

Volunteer employees N N N N N N N N N 6 14 5 8 4 5 7 5 1 7 7Railroad only N N N N N N N N N 6 13 5 8 4 5 7 5 1 7 7Grade crossing N N N N N N N N N 0 1 0 0 0 0 0 0 0 0 0

Railroad only and grade crossing total 62246 34304 25143 23468 21383 19121 16812 14440 12558 12067 11459 11700 11643 10985 11103 9025 9178 9461 8432 8345Railroad only 58356 31617 22736 21374 19408 17284 14851 12546 10948 10527 10156 10304 10424 9828 10104 7991 8084 8417 7380 7345Grade crossing 3890 2687 2407 2094 1975 1837 1961 1894 1610 1540 1302 1396 1219 1157 999 1034 1094 1044 1052 1000 Motor vehiclesb 3739 2561 2332 2029 1891 1760 1885 1825 1545 1494 1257 1338 1169 1110 939 1000 1058 1002 1020 962 Non_motorvehiclesb

151 126 75 65 84 77 76 69 65 46 46 58 50 47 60 35 36 44 34 41

Table 2-36 Railroad and Grade-Crossing Injured Persons by Victim Class

SOURCES1980-94 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) and AccidentIncident Bulletin (Washington DC Annual issues) 1995-2007 Ibid Table 408 and personal communication Internet site httpsafetydatafradotgovOfficeofSafety as of Apr 10 2008

b The breakout of grade crossing injures was collected at a different point in time then total grade crossing injuries and may not sum to the total of grade crossing injures

NOTES

KEY N = data do not exist R = revised

a Beginning in 1997 nontrespassers off railroad property are also included

Railroad only includes fatalities from train accidents train incidents and nontrain incidents (excludes highway-rail grade crossings) This table includes information for both freight and passenger railroad operations

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007Fatalities total 29 8 10 19 6 67 12 14 25 18 4 9 10 6 15 4 13 33 6 8

Derailments 8 2 2 10 2 53 2 2 6 2 1 1 2 1 7 1 2 2 3 4Collisions 20 6 8 5 1 14 8 7 16 10 1 7 1 4 4 0 8 6 0 0Other 1 0 0 4 3 0 2 5 3 6 2 1 7 1 4 3 3 25 3 4

Injuries total 665 476 451 326 171 308 262 294 281 185 129 129 275 310 1884 232 346 778 208 220Derailmentsb 286 197 272 174 71 179 120 90 98 111 61 41 121 113 1691 121 160 233 84 66Collisions 341 223 139 103 59 87 118 151 146 55 32 62 89 145 151 56 142 92 85 108Other 38 56 40 49 41 42 24 53 37 19 36 26 65 52 42 55 44 453 39 46

Accidents total 8205 3275 2879 2658 2359 2611 2504 2459 2443 2397 2575 2768 2983 3023 2738 (R) 3016 3380 3259 2951 2580Derailments 6442 2495 2146 1936 1734 1930 1825 1742 1816 1741 1757 1961 2112 2234 1989 (R) 2130 2431 2301 2171 1869Collisions 1201 366 315 261 207 205 240 235 205 202 168 205 238 220 192 198 237 251 198 200Other 562 414 418 461 418 476 439 482 422 454 650 602 633 569 557 (R) 688 712 707 582 511

1995-2007 Ibid httpsafetydatafradotgovOfficeofSafety Table 309 as of Apr 8 2008

a Excludes highway-rail grade crossing accidentsb In 2002 1441 injures were due to a single derailment in North Dakota involving hazardous materialsNOTESTrain accidents only This table includes information for both freight and passenger railroad operations

Table 2-37 Train Fatalities Injuries and Accidents by Type of Accidenta

SOURCES1980-94 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC Annual issues) tables 1-1 1-3

KEY R = revised

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Passenger fatalitiesa 3 8 3 58 5 0 12 6 4 14 4 3 7 3 3 16 2 4Injured persons 473 382 411 559 497 573 513 601 535 481 658 746 877 (R) 726 679 (R) 935 761 938Train-miles passenger trains (millions) 72 74 74 75 75 76 77 78 78 82 84 88 90 89 89 90 92 95Fatalities per 100 million passenger train-miles 4 11 4 77 7 0 16 8 5 17 5 3 8 3 3 18 2 4Injuries per 100 million passenger train-miles (R) 657 (R) 516 (R) 555 (R) 745 (R) 663 (R) 754 (R) 666 770 683 584 781 850 979 (R) 812 760 (R) 1040 828 990

NOTE

Table 2-38 Railroad Passenger Safety Data

1997-2001 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2001 (Washington DC August 2002) table 2-42002 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2002 (Washington DC March 2004) table 2-42003-04 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2003 (Washington DC October 2005) table 2-42005-07 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report (Washington DC Annual Issues) table 2-4

KEY R = revised

a In 1993 a barge struck a rail bridge in Alabama causing an Amtrak train to derail into the waterway below leading to 42 passenger deaths

A train-mile is the movement of a train (which can consist of many cars) the distance of 1 mile A train-mile differs from a vehicle-mile which is the movement of 1 car (vehicle) the distance of 1 mile A 10-car (vehicle) train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles to vehicle miles

SOURCESFatalities and injuries1990-2001 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report 2001 (Washington DC August 2002) table 1-22002-07 US Department of Transportation Federal Railroad Administration Office of Safety Railroad Safety Statistics Annual Report (Washington DC Annual Issues) table 1-2

Train-miles passenger trains1990-96 US Department of Transportation Bureau of Transportation Statistics calculations (sum of all commuter rail train-miles reported to USDOT Federal Transit Administration plus Amtrak train-miles)

1970 1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Fatalities 785 575 584 454 599 567 551 602 577 530 512 550 594 534 (R) 523 (R) 530 (R) 541 517Injured persons a 17934 50138 58696 31617 22736 12546 10948 10227 10156 10304 10424 9828 10104 (R) 8217 (R) 8084 (R) 8423 (R) 7389 7575Accidents b 8095 8041 8205 3275 2879 2459 2443 2397 2575 2768 2983 3023 2738 (R) 3017 (R) 3380 (R) 3260 (R) 2957 2593Train-miles (millions) cd 839 755 718 571 609 670 671 677 683 712 723 712 729 744 770 790 (R) 809 792Rate per 100 million train-milesFatalities 94 76 81 80 98 85 82 89 84 74 71 77 82 72 (R) 68 (R) 67 (R) 67 65Injuries N 6641 8179 5538 3735 1873 1632 1511 1487 1446 1442 1381 1387 (R) 1105 (R) 1050 (R) 1066 (R) 913 957Accidents 965 1065 1143 574 473 367 364 354 377 389 413 425 376 (R) 406 (R) 439 (R) 412 (R) 365 328Property damage (current $ millions) 1216 1774 2674 1793 1987 1892 2123 2107 2339 2451 2632 3145 2665 2980 3251 3374 3053 3053

NOTE

KEY N = data do not exist R = revised

a 1970 injuries are not comparable to later years due to a change in reporting system

Table 2-39 Railroad System Safety and Property Damage Data (Excludes highway-rail grade-crossing accidents)

1970-90 US Department of Transportation Federal Transit Administration National Transit Database (Washington DC annual issues) form 406

1995-2000 Ibid Railroad Safety Statistics Annual Report 2000 (Washington DC July 2001) tables 1-1 and 3-12001-07 Ibid Internet site httpsafetydatafradotgovOfficeofSafetyQueryDefaultasp as of May 15 2008Train-miles

This table includes information for both freight and passenger railroad operations

1995-99 US Department of Transportation Federal Railroad Administration Internet site httpsafetydatafradotgovOfficeofSafetyFormsDefaultasp as of Aug 22 20022000-07 Ibid Internet site httpsafetydatafradotgovOfficeofSafetyQueryDefaultasp as of May 15 2008

b Train accidents only excludes highway-rail grade-crossing accidents

c Train-miles in this table differ from train-miles in the vehicle-miles table in Chapter 1 Train-miles reported in Chapter 1 include only Class I rail (see glossary for definition) while this table includes Class I rail Group II rail and other rail In 2005 Group II rail accounted for 78 million train-miles and other rail for 29 million train-miles Moreover the vehicle-miles table in Chapter 1 includes only train-miles between terminals andor stations thus excluding yard and switching miles In 2005 Class I yardswitching train-miles totaled 67 million train-miles Note that commuter rail safety data are reported in the rail mode and the transit mode Commuter rail train-miles are included in Class I rail and Group II rail in this tabled A train-mile is the movement of a train (which can consist of many cars) the distance of 1 mile A train-mile differs from a vehicle-mile which is the movement of 1 car (vehicle) the distance of 1 mile A 10-car (vehicle) train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles to vehicle-miles

SOURCES Fatalities injuries accidents and property damage 1970-90 US Department of Transportation Federal Railroad Administration Office of Policy and Program Development AccidentIncident Bulletin (Washington DC annual issues) tables 14 and 15

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Employee fatalities total 40 35 34 47 31 34 33 37 27 31 24 22 20 19 25 25 16 17Grade-crossing accidents and incidents 5 1 2 3 1 2 1 0 4 2 2 1 1 1 2 2 4 1Train accidents and incidents only (grade-crossing excluded) 35 34 32 44 30 32 32 37 23 29 22 21 19 18 23 23 12 16Employee injuries total 20970 19626 17755 15363 13080 10777 9199 8295 8398 8622 8423 7815 6644 (R) 6248 (R) 6018 (R) 5809 (R) 5219 5233Grade-crossing accidents and incidents 169 147 157 143 126 123 79 111 122 140 100 97 110 76 116 (R) 110 (R) 95 102Train accidents and incidents only (grade-crossing excluded) 20801 19479 17598 15220 12954 10654 9120 8184 8276 8482 8323 7718 6534 (R) 6172 (R) 5902 (R) 5699 (R) 5124 5131Employee hours (millions) 5536 5307 5170 5197 5186 5103 5046 5039 5149 5100 4909 4751 4541 4511 4584 4784 (R) 4857 4828Fatality rates per million employee hoursAll accidents incidents 007 007 007 009 006 007 007 007 005 006 005 005 004 (R) 004 (R) 005 005 003 004Grade-crossing accidents and incidents lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001Train accidents and incidents only (grade-crossing excluded) 006 006 006 008 006 006 006 007 004 006 004 004 004 (R) 004 (R) 005 005 002 003Injury rates per million employee hoursAll accidents incidents 379 370 343 296 252 211 182 165 163 169 172 164 146 (R) 138 (R) 131 (R) 121 1074571 108Grade-crossing accidents and incidents 03 03 03 03 02 02 02 02 02 03 02 02 02 02 03 (R) 02 02 02Train accidents and incidents only (grade-crossing excluded) 376 367 340 293 250 209 181 162 161 166 170 162 144 137 (R) 129 (R) 119 106 106Train-miles (millions)ab 609 577 594 614 655 670 671 677 683 712 723 712 729 744 770 790 809 792Fatality rates per million train-milesAll accidents incidents 007 006 006 008 005 005 005 005 004 004 003 003 003 0025554 0032457 0031626 0019776 002Grade-crossing accidents and incidents lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001Train accidents and incidents only (grade-crossing excluded) 006 006 005 007 005 005 005 005 003 004 003 003 003 002 003 003 001 002Injury rates per million train-milesAll accidentsincidents 344 340 299 250 200 161 137 123 123 121 117 110 91 (R) 84 (R) 78 (R) 73 (R) 65 66Grade-crossing accidents and incidents 03 03 03 02 02 02 01 02 02 02 01 01 02 01 (R) 02 (R) 01 (R) 01 01Train accidents and incidents only (grade-crossing excluded) 342 338 296 248 198 159 136 121 121 119 115 108 90 (R) 83 (R) 77 (R) 72 (R) 63 65KEY R = revised

a Train-miles in this table differ from train-miles in the vehicle-miles table in Chapter 1 Train-miles reported in Chapter 1 include only Class I rail (see glossary for definition) while this table includes Class I rail Group II rail and other rail In 2005 Group II rail accounted for 78 million train-miles and other rail for 29 million train-miles Moreover the vehicle-miles table in Chapter 1 includes only train-miles between terminals andor stations thus excluding yard and switching miles In 2005 Class I yardswitching trainmiles totaled 67 million train-miles Note that commuter rail safety data are reported in the rail mode and in the transit mode Commuter rail train-miles are included in Class Irail and Group II rail in this table

Table 2-40 Fatalities and Injuries of On-Duty Railroad Employees

2000-07 Ibid Internet site httpsafetydatafradotgovOfficeofSafetyQueryDefaultasp as of Mar 9 2008

b A train-mile is the movement of a train (which can consist of many cars) the distance of 1 mile A train-mile differs from a vehicle-mile which is the movement of 1 car (vehicle) the distance of 1 mile A 10-car (vehicle) train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles to vehicle-miles

NOTE

1996-99 Ibid Railroad Safety Statistics Annual Report (Washington DC annual issues) tables 1-3 2-4 and 3-1

This table includes information for both freight and passenger railroad operations

SOURCES1990-95 US Department of Transportation Federal Railroad Administration Highway-Rail Crossing AccidentIncident and Inventory Bulletin (Washington DC annual issues)

Section FWater

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005Fatalitiesa 178 243 206 131 85 30 97 105 77 53 55 48 69 58 53 53 61 58 53 64Injuries 105 97 180 172 175 110 170 171 182 154 254 120 130 152 150 210 182 263 233 169Accidentsb 2582 3310 4624 3439 3613 2222 5583 6126 6743 5349 5260 5504 5767 5526 5403 4958 3658 3250 3232 3221Vesselsc 4063 5685 7694 5694 5494 3514 7190 7913 9030 7802 7695 7802 7824 7265 7103 6439 6263 5232 6330 8007Property damage (current $ millions) U U U U U U 2017 1815 2644 1590 2008 1582 2349 1771 1805 1009 3347 1267 1517 7194KEY R = revised U = data are not available

a Fatalities include the number of people who died or were declared missing subsequent to a marine accidentb Accidents in this table include the number of marine casualty cases reported to the US Coast Guard in accordance with 46 USC 405

Table 2-41 Waterborne Transportation Safety and Property Damage Data Related to Vessel Casualties

For 1992-97 data are obtained from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During this period data are derived by combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 and after are from the Marine Information for Safety and Law Enforcement System Data for prior 1992 come from other sources and may not be directly comparable

US Department of Homeland Security US Coast Guard Data Administration Division (G-MRI-1) personal communication as of November 2008

c More than one vessel may be involved in a marine accident Data from 1992 to 2003 has been revised to include vessels involved in pollution incidents which the United States Coast Guard considers to be a vessel casualty Data includes all vessel mishaps involving marine pollution discharges

All deaths and injuries cited result from vessel casualties such as groundings collisions fires or explosions The data are for all commercial vessels under US jurisdiction including US flag vessels anywhere in the world and foreign flag vessels within the jurisdiction of the United States (within 12 miles or having an interaction with a US entity such as a platform within 200 miles or a collision with a US ship) Commercial fishing vessels are included

SOURCE

NOTES

Table 2-42 Waterborne Transportation Safety Data not Related to Vessel Casualties1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Fatalitiesa 420 330 281 130 101 56 (R) 89 (R) 79 (R) 89 (R) 92 (R) 86 (R) 84 (R) 95 (R) 74 (R) 69 (R) 49 (R) 41 (R) 50 (R) 35 34Injuries U U U U U U (R) 936 (R) 919 (R) 1081 (R) 1170 (R) 951 (R) 779 (R) 520 (R) 429 (R) 509 (R) 412 (R) 475 (R) 472 (R) 425 425Vesselsb U 321 274 128 98 51 (R) 1427 (R) 1378 (R) 1592 (R) 1726 (R) 1283 (R) 968 (R) 526 (R) 445 (R) 514 (R) 440 (R) 594 (R) 562 (R) 471 504KEY R = revised U = data are not available

a Fatalities include people who were declared missingb Figures represent the number of vessels involved in nonvessel casualties These vessels were not part of the accident but the accident may have occurred on the vessel (eg crewmembers swept overboard by a wave)

NOTES

Figures reflect the number of deaths and injuries to people on commercial vessels not resulting from a casualty to the vessel These injuries and fatalities result from such incidents as slips falls or electrocutions Deaths and injuries from disease homocides suicides fights and diving accidents have been excluded The data reflect deaths and injuries to people on both US and foreign flag vessels within the jurisdiction of the United States (within 12 miles of US coast) and on US flag vessels anywhere in the world

1992-97 data come from the Marine Safety Management Information System Between 1998 and 2001 the US Coast Guard phased in a new computer system to track safety data the Marine Information for Safety and Law Enforcement System During that period data come from combining entries in the Marine Safety Management Information System with entries in the Marine Information for Safety and Law Enforcement System Data for 2002 to 2004 come from the Marine Information for Safety and Law Enforcement System Data for prior years come from other sources and may not be directly comparable There is a significant difference in the figures provided in 2005 from previous years due to changes in the way marine safety related personnel casualties are now measured Also many of the figures for incident investigations in the years 2002 and later are derived from predecisional material and these numbers are subject to change

SOURCE US Department of Homeland Security (formerly US Department of Transportation) US Coast Guard Data Administration Division (G-MRI-1) personal communications June 29 2004 June 8 2005 and June 22 2007

Table 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalitiesa 739 1360 1418 1466 1360 1116 865 924 816 800 784 829 709 821 815 734 (c) 701 681 750 703 676 697 710 685Injuries 929 927 780 2136 2650 2757 3822 3967 3683 3559 4084 4141 4442 4555 4612 4315 4355 4274 4062 3888 3363 3451 3474 3673Accidents 2738 3752 3803 6308 5513 6237 6411 6573 6048 6335 6906 8019 8026 8047 8061 7931 7740 6419 5705 5438 4904 4969 4967 5191Vessels involved 3562 4778 4762 8002 6954 8305 8591 8821 8206 8688 9722 11534 11306 11396 11368 11190 10984 8974 7907 7363 6725 6628 6753 6932Numbered boats (thousands)b 2500 4138 5128 7303 8577 9589 10996 11068 11132 11283 11430 11735 11878 12313 12566 12738 12782 12876 12854 12795 12781 12942 12746 12876Rates per 100000 numbered boatsFatalities 296 329 277 201 159 116 79 83 73 71 69 71 60 67 65 58 55 53 58 55 53 54 56 53Injuries 372 224 152 292 309 288 348 358 331 315 357 353 374 370 367 339 341 332 316 304 263 267 273 285Accidents 1095 907 742 864 643 650 583 594 543 561 604 683 676 654 641 623 606 499 444 425 384 384 390 403Accident reports citing alcohol involvementc N N N N N 279 568 513 504 381 389 472 601 698 704 633 696 375 357 362 331 402 403 391Property damage (current $ millions)d 32 47 82 104 164 200 238 248 348 202 259 215 232 290 310 289 347 313 392 404 350 387 437 531KEY N = data do not exist

a The numbers for recreational boating safety fatalities in 2000 are raw numbers--CG reports a 6 addition as instructed by the DOT Inspector General because it found a discrepancy in a review of the Search and Rescue Management Information System (SARMIS) and BARD data (See the discussion found in the DOT FY2003 Performance PlanReport on pg 135 under data details of recreational boating fatalities)b Number of boats for 1960 are estimatesc Starting in 2001 only cases where alcohol is determined to be a direct or inderect cause of an accident are reported Previous years include cases where alcohol was present but played no role in the accidentd 1992 data includes $11 million damage due to a boat fire

NOTEOnly a small fraction of property damages and nonfatal accidents are reported to the US Coast Guard

SOURCE

Vessels involved for 1960 and 1965 and property damage for 1994 and 1995

US Department of Transportation US Coast Guard (CG) Office of Boating Safety personal communication May 15 2002

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of Mar 17 2009

Table 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalitiesa 739 1360 1418 1466 1360 1116 865 924 816 800 784 829 709 821 815 734 (c) 701 681 750 703 676 697 710 685Injuries 929 927 780 2136 2650 2757 3822 3967 3683 3559 4084 4141 4442 4555 4612 4315 4355 4274 4062 3888 3363 3451 3474 3673Accidents 2738 3752 3803 6308 5513 6237 6411 6573 6048 6335 6906 8019 8026 8047 8061 7931 7740 6419 5705 5438 4904 4969 4967 5191Vessels involved 3562 4778 4762 8002 6954 8305 8591 8821 8206 8688 9722 11534 11306 11396 11368 11190 10984 8974 7907 7363 6725 6628 6753 6932Numbered boats (thousands)b 2500 4138 5128 7303 8577 9589 10996 11068 11132 11283 11430 11735 11878 12313 12566 12738 12782 12876 12854 12795 12781 12942 12746 12876Rates per 100000 numbered boatsFatalities 296 329 277 201 159 116 79 83 73 71 69 71 60 67 65 58 55 53 58 55 53 54 56 53Injuries 372 224 152 292 309 288 348 358 331 315 357 353 374 370 367 339 341 332 316 304 263 267 273 285Accidents 1095 907 742 864 643 650 583 594 543 561 604 683 676 654 641 623 606 499 444 425 384 384 390 403Accident reports citing alcohol involvementc N N N N N 279 568 513 504 381 389 472 601 698 704 633 696 375 357 362 331 402 403 391Property damage (current $ millions)d 32 47 82 104 164 200 238 248 348 202 259 215 232 290 310 289 347 313 392 404 350 387 437 531KEY N = data do not exist

a The numbers for recreational boating safety fatalities in 2000 are raw numbers--CG reports a 6 addition as instructed by the DOT Inspector General because it found a discrepancy in a review of the Search and Rescue Management Information System (SARMIS) and BARD data (See the discussion found in the DOT FY2003 Performance PlanReport on pg 135 under data details of recreational boating fatalities)b Number of boats for 1960 are estimatesc Starting in 2001 only cases where alcohol is determined to be a direct or inderect cause of an accident are reported Previous years include cases where alcohol was present but played no role in the accidentd 1992 data includes $11 million damage due to a boat fire

NOTEOnly a small fraction of property damages and nonfatal accidents are reported to the US Coast Guard

SOURCE

Vessels involved for 1960 and 1965 and property damage for 1994 and 1995

US Department of Transportation US Coast Guard (CG) Office of Boating Safety personal communication May 15 2002

US Department of Homeland Security US Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of Mar 17 2009

Table 2-44 Personal Watercraft Safety Data1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Fatalities 5 20 20 28 26 34 35 56 68 57 84 78 66 68 50 71 57 56 65 68 67Injured persons 156 254 402 532 708 730 915 1338 1617 1837 1812 1743 1614 1580 1424 1362 1228 952 1007 919 982Accidentsa 376 650 844 1162 1513 1650 2236 3002 3986 4099 4070 3607 3374 3268 2562 2225 1994 1664 1692 1631 1655Sales 29000 48000 64000 72000 68000 79000 107000 142000 200000 191000 176000 130000 106000 92000 80900 79300 80600 79500 80200 82200 79900Number in use 92756 126881 178510 241376 305915 372283 454545 600000 760000 900000 1000000 1180000 1200000 1230000 1220000 1220000 1170000 1250000 1230000 (R) 1190000 1230000KEY R = revised

a Total vessels involved

NOTES Personal watercraft are less than 13 feet in length and are designed to be operated by a person or persons sitting standing or kneeling on the craft rather than within the confines of the hullData on personal watercraft sales and number in use are estimates

SOURCES Fatalities injuries and accidents US Department of Homeland Security United States Coast Guard Office of Boating Safety Boating Statistics (Washington DC Annual issues) available at httpwwwuscgboatingorgstatisticsaccident_statshtm as of Mar 17 2009Sales 1987-90 Personal Watercraft Industry Association available at httpwwwpwiaorgAbo_PWChtm as of June 19 20001991-2007 National Marine Manufacturers Association Recreational Boating Statistical Abstract (Annual issues) available at httpwwwnmmaorgfactsboatingstats2007 as of Mar 17 2009Use 1987-96 National Marine Manufacturers Association data compiled by the United States Coast Guard personal communications1997-98 Ibid available at httpwwwnmmaorgfactsboatingstatsstatistic98html as of June 19 20001999-2007 National Marine Manufacturers Association Recreational Boating Statistical Abstract available at httpwwwnmmaorgfactsboatingstats2007 as of Mar 17 2009

1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Cases 60775 53097 52782 53294 53026 53899 49704 43553 41096 37218 39844 40214 39457 36763 (R) 31622 (R) 32540 29799 (R) 28320 27092Responsesa 70237 64971 66409 69856 69784 70337 63679 55710 52141 46602 50622 48226 49502 46643 U U U U USortiesa 88449 84033 84872 88388 88147 108758 110267 98423 91722 83307 89635 57697 59015 54609 33426 (R) 33107 (R) 29860 (R) 29826 25411Search and Rescue resource hours b U 108282 109351 108639 107441 102749 93984 85150 80507 80116 84635 80533 85008 75841 65182 (R) 65876 77888 60248 55312Lives saved 6497 4407 5465 f17543 5826 f23211 4453 5047 3897 3194 3743 3400 4010 3661 5196 (R) 5565 5650 (R) 29826 5216Lives lost total 1335 1085 1116 939 1215 931 772 978 744 606 533 1018 710 635 673 (R) 783 (R) 846 787 795

Lives lost before notification c 259 622 748 540 800 593 468 611 454 418 353 g779 413 399 412 502 (R) 523 479 492Lives lost after notification d 1076 463 368 399 415 338 304 367 290 188 180 239 297 236 261 (R) 281 323 308 303

Persons otherwise assisted 138791 117327 113704 121826 119069 116912 101357 85869 75357 66138 70255 54866 59910 46503 (R) 38579 (R) 42008 (R) 41551 (R) 44757 35797Value of property lost ($ million)e 4243 3685 2136 3145 3162 4355 2226 2738 4148 843 2623 4152 4410 760 196 (R) 535 970 (R) 328 1217Value of property assisted ($ million) 23768 20449 22824 19514 24918 28912 44672 34942 17621 12882 12350 7788 15010 15890 (R) 4788 (R) 7784 16618 (R) 7784 9956Property loss prevented ($ million) 9054 16734 17993 15501 21447 26284 38828 30873 13535 9968 10190 843 730 680 1067 2387 1464 1110 1131

g The Egypt Air (217 fatalities) and Alaska Air (88 fatalities) crashes account for the increase

Table 2-45 US Coast Guard Search and Rescue Statistics Fiscal Year

c Those persons whose lives were lost before the US Coast Guard was notified of an incidentd Those persons whose lives were lost in an incident to which the US Coast Guard was responding but who were alive at the time the US Coast Guard was notified of the incident e Includes several out of the normal high cost incidents

f The Search and Rescue Management Information Systems reporting policy has been revised and now requires complete reporting on all lives saved This policy also includes reporting on lives saved in connection with Coast Guard Law Enforcement Activity (ie Alien Migrant Interdiction Operations (AMIO)) AMIO lives saved in fiscal year 1992 was determined to be approximately 12000 AMIO lives saved in fiscal year 1994 was determined to be 15179

KEY R = revised U = data are not available

a Responses are the number of US Coast Guard units involved Sorties are the number of trips made by boat aircraft or cutter

b Search and Rescue resource hours represent the time that Coast Guard assets (ie aircraft boats and cutters) perform search and rescue operations

SOURCES All data except Search and Rescue resource hours

1985-1993 US Department of Transportation US Coast Guard Search and Rescue Management Information Systems (SARMIS II) Database Internet site wwwuscgmilhqg-og-opr92-01summaryhtm as of Aug 8 2002

2003-07 US Department of Homeland Security US Coast Guard Office of Search and Rescue personal communications April 1 2008

1994-2002 US Department of Transportation US Coast Guard ON SCENE The Journal of US Coast Guard Search Rescue Internet site wwwuscgmilhqg-og-oprOn20Sceneonscenehtm as of July 28 20042003-07 US Department of Homeland Security US Coast Guard Office of Search and Rescue personal communications April 1 2008 Search and Rescue resource hours

1990-2002 US Department of Transportation US Coast Guard Office of Command and Control Architecture personal communications Sept 30 2003 and July 28 2004

Section GPipeline

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007FatalitiesTotal hazardous liquida 4 7 4 5 3 0 5 0 1 3 5 0 2 4 1 0 1 0 5 2 0 4 Total gas 26 8 15 28 6 14 10 17 21 18 48 10 19 18 37 7 11 12 18 14 19 10

Gas transmission U U 1 6 0 0 3 1 0 2 1 1 1 2 15 2 1 1 0 0 3 2 Gas distribution U U 14 22 6 14 7 16 21 16 47 9 18 16 22 5 10 11 18 14 16 8

Injured personsTotal hazardous liquid 21 17 15 18 7 9 38 10 (a) 1858 11 13 5 6 20 4 10 0 5 16 2 2 10 Total gas 233 214 177 108 69 89 80 101 113 53 114 72 75 88 77 51 49 66 44 (R) 46 (R) 31 42

Gas transmission U U 13 12 17 12 15 17 22 10 5 5 11 8 18 5 5 8 3 7 (R) 5 7 Gas distribution U U 164 96 52 77 65 84 91 43 109 67 64 80 59 46 44 58 41 (R) 39 (R) 26 35

IncidentsTotal hazardous liquid 351 254 246 183 180 216 212 229 245 188 194 171 153 167 146 130 147 131 144 (R) 139 (R) 115 113 Total gas 1077 1338 1524 334 198 233 177 216 222 161 187 175 236 172 234 211 184 (R) 239 (R) 298 (R) 353 (R) 281 278

Gas transmission U U 389 129 89 71 74 95 81 64 77 73 99 54 80 87 82 97 123 (R) 181 (R) 143 131 Gas distribution U U 1135 205 109 162 103 121 141 97 110 102 137 118 154 124 102 (R) 142 (R) 175 (R) 172 (R) 138 147

Property damage (current $ millions)Total hazardous liquid 12 22 57 51 157 378 391 289 622 325 851 552 633 864 1802 253 474 (R) 500 (R) 1463 (R) 1498 (R) 592 444Total gas 33 50 100 229 189 197 314 384 984 209 293 246 635 436 413 377 505 (R) 710 (R) 1065 (R) 8660 (R) 729 832

Gas transmission U U 88 134 113 119 246 230 452 100 131 121 445 177 179 237 267 (R) 499 (R) 682 (R) 3677 (R) 501 595Gas distribution U U 12 95 76 78 68 153 533 110 163 125 191 259 234 141 238 (R) 211 (R) 383 (R) 4983 (R) 228 237

Numbers may not add to totals due to rounding

SOURCES1970-85 US Department of Transportation Research and Special Programs Administration Office of Pipeline Safety personal communication1986-2007 US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Internet site httpopsdotgovstatsstatshtm as of Mar 25 2008

Property damage includes but is not limited to damage to the operators facilities and to the property of others gas lost restoration of service and relighting facility repair and replacement leak locating right-of-way cleanup and environmental cleanup and damage

a Includes 1851 injuries requiring medical treatment reported for accidents caused by severe flooding near Houston TX in October 1994

KEY R = revised U = data are not available

Table 2-46 Hazardous Liquid and Natural Gas Pipeline Safety and Property Damage Data

NOTESBeginning with 1985 data pipeline incidents are credited to the year in which they occurred not the year in which the report was received Gas numbers represent sum of transmission and gathering and distribution operators

Chapter 3Transportation and

the Economy

Section ATransportation and the

Total Economy

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006TOTAL US GDP 27895 42203 58031 73976 78169 83043 87470 92684 98170 101280 104696 109608 116859 124219 131784For-hire transportation services GDP total 1023 1363 1694 2263 2352 2537 2737 2874 3016 2969 3046 3166 3446 3647 3874

Air transportation 128 190 268 410 444 495 525 549 577 500 483 517 491 483 503Rail transportation 224 231 206 250 245 230 245 247 255 256 262 281 298 335 390Water transportation 33 37 46 58 61 65 65 64 72 74 70 87 95 100 108Truck transportation 281 39 526 701 720 784 862 898 928 933 957 984 1114 1184 1225Transit and ground passenger transportation 53 70 84 103 111 130 138 144 145 151 157 161 176 179 183Pipeline transportation 61 87 72 81 87 88 92 92 87 92 115 99 107 95 114Other transportation and support activities 188 273 373 492 509 550 599 648 702 714 734 754 853 916 978Warehousing and storage 56 84 118 168 175 195 211 232 250 251 268 283 312 356 373

Percent of US GDPFor-hire transportation services 37 32 29 31 30 31 31 31 31 29 29 29 29 29 29

Air transportation 05 05 05 06 06 06 06 06 06 05 05 05 04 04 04Rail transportation 08 05 04 03 03 03 03 03 03 03 03 03 03 03 03Water transportation 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01Truck transportation 10 09 09 09 09 09 10 10 09 09 09 09 10 10 09Transit and ground passenger transportation 02 02 01 01 01 02 02 02 01 01 01 01 02 01 01Pipeline transportation 02 02 01 01 01 01 01 01 01 01 01 01 01 01 01Other transportation and support activities 07 06 06 07 07 07 07 07 07 07 07 07 07 07 07Warehousing and storage 02 02 02 02 02 02 02 03 03 02 03 03 03 03 03

Percent of for-hire transportation services GDPAir transportation 125 139 158 181 189 195 192 191 191 168 159 163 142 132 130Rail transportation 219 169 122 110 104 91 90 86 85 86 86 89 86 92 101Water transportation 32 27 27 26 26 26 24 22 24 25 23 27 28 27 28Truck transportation 275 286 311 310 306 309 315 312 308 314 314 311 323 325 316Transit and ground passenger transportation 52 51 50 46 47 51 50 50 48 51 52 51 51 49 47Pipeline transportation 60 64 43 36 37 35 34 32 29 31 38 31 31 26 29Other transportation and support activities 184 200 220 217 216 217 219 225 233 240 241 238 248 251 252Warehousing and storage 55 62 70 74 74 77 77 81 83 85 88 89 91 98 96

Table 3-1a US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Current $ billions)

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustryindexhtm as of March 2009

Numbers may not add to totals due to rounding

KEY R = revised

SOURCE

NOTE

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006TOTAL US GDP 7113 7101 7337 7533 7836 8032 8329 8704 90669 (R) 94704 98170 98907 (R) 100489 103010 106758 109895 112948For-hire transportation services GDP total 1879 1962 2074 2171 2347 2427 2551 2666 2758 (R) 2875 3016 2936 3002 (R) 3063 3341 3476 3548Air transportation 266 248 285 301 351 381 451 475 487 529 577 570 628 672 755 813 815Rail transportation 198 229 228 232 246 253 252 236 244 248 255 248 244 257 261 274 287Water transportation 44 49 52 56 61 60 67 73 70 64 72 68 56 54 61 60 72Truck transportation 598 638 681 723 791 808 838 877 910 919 928 879 875 889 973 1010 1018Transit and ground passenger transportation 119 102 103 110 114 120 120 139 143 147 145 145 146 143 154 150 149Pipeline transportation 76 74 74 69 64 74 74 69 69 77 87 83 96 93 106 116 115Other transportation and support activities 468 505 520 542 566 558 564 597 626 662 702 694 706 703 774 772 790Warehousing and storage 125 133 146 155 169 180 188 208 220 234 250 244 256 269 283 3236 3335Percent of US GDPFor-hire transportation services 26 28 28 29 30 30 31 31 30 (R) 30 31 30 (R) 30 30 31 32 31Air transportation 04 03 04 04 04 05 05 05 05 (R) 06 06 06 06 (R) 07 07 07 07Rail transportation 03 03 03 03 03 03 03 03 03 03 03 03 02 02 02 02 03Water transportation 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01Truck transportation 08 09 09 10 10 10 10 10 10 10 09 09 09 09 09 09 09Transit and ground passenger transportation 02 01 01 01 01 01 01 02 02 02 01 01 01 01 01 01 01Pipeline transportation 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01Other transportation and support activities 07 07 07 07 07 07 07 07 07 07 07 07 07 07 07 07 07Warehousing and storage 02 02 02 02 02 02 02 02 02 02 03 02 03 03 03 03 03Percent of for-hire transportation services GDPAir transportation 142 126 137 139 150 157 177 178 177 (R) 184 191 194 209 (R) 219 226 234 230Rail transportation 105 117 110 107 105 104 99 89 88 86 85 84 81 84 78 79 81Water transportation 23 25 25 26 26 25 26 27 25 22 24 23 19 18 18 17 20Truck transportation 318 325 328 333 337 333 328 329 330 320 308 299 291 290 291 291 287Transit and ground passenger transportation 63 52 50 51 49 49 47 52 52 51 48 49 49 47 46 43 42Pipeline transportation 40 38 36 32 27 30 29 26 25 27 29 28 32 30 32 33 32Other transportation and support activities 249 257 251 250 241 230 221 224 227 230 233 236 235 230 232 222 223Warehousing and storage 67 68 70 71 72 74 74 78 80 81 83 83 85 88 85 93 94

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustryindexhtm as of March 2009SOURCE

Table 3-1b US Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Chained 2000 $ billions)

Details may not add to totals due to the nature of the chained dollar calculationsNOTE

KEY R = revised

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 (R) 2007Gross Domestic Product 27895 42203 58031 59959 63377 66574 70722 73977 78169 83043 87470 92684 98170 101280 104696 109608 116859 124219 131784 138075Total transportation-related final demanda (R) 3489 (R) 4993 (R) 6268 (R) 6265 (R) 6662 (R) 7111 (R) 7710 (R) 8044 (R) 8655 9331 9736 10413 10895 11039 11064 11380 12125 13250 13944 14694Total transportation in GDP (percent) (R) 125 (R) 118 (R) 108 (R) 104 (R) 105 (R) 107 (R) 109 (R) 109 (R) 111 112 111 112 111 109 (R) 106 104 104 107 106 106Personal consumption of transportation total 2389 3776 4717 4473 4831 5208 5673 5946 6418 6852 7180 7851 8535 8723 8822 9217 9764 10510 10890 11380

Motor vehicles and parts 870 1759 2128 1935 2130 2340 2605 2667 2849 3051 3361 3708 3865 4079 4293 4317 4368 4431 4340 4404Gasoline and oil 867 972 1112 1085 1124 1141 1162 1202 1304 1344 1224 1379 1757 1716 1645 1927 2314 2836 3138 3406Transportion services 652 1045 1477 1453 1577 1727 1906 2077 2265 2457 2595 2764 2913 2928 2884 2973 3082 3243 3412 3570

Gross private domestic investment total (R) 513 (R) 730 (R) 726 (R) 739 (R) 776 (R) 925 (R) 1110 (R) 1196 (R) 1276 1416 1511 1739 1674 1486 1328 1244 1496 1714 1855 1664Transportation structures (R) 29 (R) 40 (R) 26 (R) 24 (R) 29 (R) 31 (R) 33 (R) 35 (R) 44 61 71 63 66 69 65 61 67 70 85 92Transportation equipment 484 690 700 715 747 894 1077 1161 1232 1355 1440 1676 1608 1417 1263 1183 1429 1644 1770 1572

Exports ( + ) total 457 575 1056 1148 1225 1226 1296 1324 1415 1626 1716 1749 1790 1743 1755 1745 1951 2215 2505 2855Civilian aircraft engines and parts 141 135 322 366 377 328 315 261 308 414 535 529 481 526 504 467 500 608 752 873Automotive vehicles engines and parts 174 249 361 397 467 513 573 613 642 733 724 753 804 754 789 806 892 984 1070 121Passenger fares 26 44 153 159 166 165 170 189 204 209 201 198 207 179 170 157 189 210 220 256Other transportation 116 147 220 226 215 220 238 261 261 270 256 269 298 284 292 315 370 413 463 516

Imports ( - ) total 468 922 1344 1324 1387 1496 1685 1760 1846 2032 2209 2582 2880 2825 2876 2999 3314 3532 3778 3889Civilian aircraft engines and parts 31 53 105 117 126 113 113 107 127 166 218 238 264 314 255 241 243 258 284 344Automotive vehicles engines and parts 283 649 884 857 917 1024 1181 1236 1287 1395 1487 1790 1959 1898 2037 2101 2282 2394 2566 2589Passenger fares 36 64 105 100 106 114 131 147 158 181 200 213 243 226 200 210 247 261 275 285Other transportation 118 156 250 250 238 245 260 270 274 290 304 341 414 387 384 447 542 619 653 671

Net exports of transportation-related goods and servicesb -11 -347 -288 -176 -162 -270 -389 -436 -431 -406 -493 -833 -1090 -1082 -1121 -1254 -1363 -1317 -1273 -1034Government transportation-related purchases total 598 834 1113 1229 1217 1248 1316 1338 1392 1469 1538 1656 1776 1912 2035 2173 2228 2343 2472 2684

Federal purchasesc 70 100 129 145 153 154 171 161 169 176 185 187 192 211 264 296 291 302 321 321State and local purchasesc 486 672 896 927 950 1001 1061 1093 1137 1211 1268 1379 1494 1603 1666 1715 1770 1882 2002 2166Defense-related purchasesd

42 62 88 157 114 93 84 84 86 82 85 90 90 98 105 162 167 159 149 197

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 115 235 3115 3155 425 545B and 555 available at httpwwwbeadocgov as of March 2009

a Sum of total personal consumption of transportation total gross private domestic investment net exports of transportation-related goods and services and total government transportation-related purchases b Exports minus importsc Federal purchases and state and local purchases are the sum of consumption expenditures and gross investmentd Defense-related purchases are the sum of transportation of material and travel

Transportation structures data for 1990-1996 are for railroads only 1997 and after include railroads and air

SOURCE

Table 3-2a US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand (Current $ billions)

NOTE

KEY R = revised U = data are not available

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Gross Domestic Product 71125 71005 73366 75327 78355 80317 83289 87035 90669 94703 98170 98907 100488 103010 106758 (R) 109895 (R) 112948 115239Total transportation-related final demanda U U U U U U U 9911 10483 10959 10895 10987 11007 10988 11202 (R) 11383 (R) 11362 (R) 11484Total transportation in GDP (percent) U U U U U U U 114 116 116 111 111 110 107 105 (R) 104 (R) 101 (R) 100Personal consumption of transportation total 5936 5532 5851 6114 6463 6586 6908 7307 7813 8321 8535 8721 8911 9059 9221 (R) 9252 (R) 9158 9304

Motor vehicles and parts 2561 2266 2449 2592 2762 2723 2854 3047 3390 3724 3865 4058 4290 4421 4508 (R) 4499 (R) 4379 4467Gasoline and oil 1418 1403 1460 1497 1517 1545 1579 1628 1703 1763 1757 1783 1819 1832 1867 (R) 1874 (R) 1842 1845Transportion services 1957 1863 1942 2025 2184 2318 2475 2632 2720 2834 2913 2880 2802 2806 2846 (R) 2879 (R) 2937 2992

Gross private domestic investment total U U U U U U U 1425 1529 1742 1674 1494 1321 1194 1365 (R) 1555 (R) 1666 1469Transportation structuresb 34 31 38 37 39 40 48 66 75 65 66 66 61 56 59 (R) 60 (R) 71 75Transportation equipment 810 788 802 951 1114 1206 1254 1359 1454 1677 1608 1428 1260 1138 1306 (R) 1495 (R) 1595 1394

Exports ( + ) total 1315 1356 1412 1379 1431 1421 1494 1707 1812 1810 1790 1716 1707 1646 1788 (R) 1935 (R) 2125 2350Civilian aircraft engines and parts 457 479 479 405 377 303 343 446 570 551 481 499 465 415 43 501 (R) 596 663Automotive vehicles engines and parts 403 432 498 543 601 634 658 744 734 759 804 752 783 794 872 (R) 951 (R) 1021 1142Passenger fares 198 186 190 185 186 196 212 227 223 203 207 178 165 136 148 152 (R) 159 171Other transportation 257 259 245 246 267 288 281 290 285 297 298 287 294 301 338 331 (R) 349 374

Imports ( - ) total 1652 1556 1604 1704 1868 1890 1955 2140 2325 2645 2880 2801 2852 2907 3123 3244 (R) 3438 3489Civilian aircraft engines and parts 150 151 158 138 134 124 140 177 229 245 264 302 242 228 223 229 243 280Automotive vehicles engines and parts 1033 963 1013 1114 1245 1266 1309 1416 1508 1802 1959 1899 2033 2085 2226 2312 (R) 2468 2465Passenger fares 149 127 131 143 162 173 184 199 217 225 243 207 174 179 214 218 217 211Other transportation 320 315 302 309 327 327 322 348 371 373 414 393 403 415 460 485 (R) 510 533

Net exports of transportation-related goods and servicesc -337 -200 -192 -325 -437 -469 -461 -433 -513 -835 -1090 -1085 -1145 -1261 -1335 -1309 (R) -1313 -1139Government transportation-related purchases total 1479 1579 1554 1561 1601 1565 1576 1612 1654 1731 1776 1857 1920 1996 1951 (R) 1885 (R) 1851 (R) 1850

Federal purchases 171 184 191 184 198 180 185 188 196 194 192 206 250 271 254 (R) 253 (R) 259 249State and local purchases 1196 1207 1224 1266 1305 1288 1294 1337 1370 1443 1494 1558 1573 1585 1557 (R) 1504 (R) 1476 1449Defense-related purchases d 112 188 139 111 98 97 97 87 88 94 90 93 97 140 140 (R) 128 (R) 116 152

b Before 1997 transportation structures only includes railroads

Table 3-2b US Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand (Chained 2000 $ billions)

KEY R = revised U = data are not available

a Sum of total personal consumption of transportation total gross private domestic investment net exports of transportation-related goods and services and total government transportation-related purchases

c Equal to exports minus importsd Defense-related purchases are the sum of transportation of material and travel

NOTES

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 116 236 3116 3156 426 546A 546B and 556 available at httpwwwbeadocgovbea as of Sep 19 2008

Chained 2000 $ value = (Quantity index for year n x 2000 current $ value)100At the time of this publication the Bureau of Economic Analysis (BEA) had only published chained 2000 dollar estimates from 1990 onward Current dollar estimates for earlier years can be found in Table 3-2a

SOURCE

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 (R) 2006Gross Domestic Demand 28026 43355 58811 60234 63710 67224 71658 74890 79131 84059 89069 95289 101964 104950 108940 114602 123013 (R) 131355 139357Total domestic transportation-related final demand (R) 3500 (R) 5340 (R) 6556 (R) 6441 (R) 6824 (R) 7381 (R) 8099 (R) 8480 (R) 9086 9737 10229 11246 11985 12121 12185 12634 13488 (R) 14567 15217Total transportation in GDD (percent) (R) 125 (R) 123 (R) 111 (R) 107 (R) 107 (R) 110 (R) 113 (R) 113 (R) 115 116 115 118 118 115 112 110 110 (R) 111 109Personal consumption of transportation total 2389 3776 4717 4473 4831 5208 5673 5946 6418 6852 7180 7851 8535 8723 8822 9217 9764 (R) 10510 10890

Motor vehicles and parts 870 1759 2128 1935 2130 2340 2605 2667 2849 3051 3361 3708 3865 4079 4293 4317 4368 (R) 4431 4340Gasoline and oil 867 972 1112 1085 1124 1141 1162 1202 1304 1344 1224 1379 1757 1716 1645 1927 2314 (R) 2836 3138Transportation services 652 1045 1477 1453 1577 1727 1906 2077 2265 2457 2595 2764 2913 2928 2884 2973 3082 (R) 3243 3412

Gross private domestic investment total (R) 513 (R) 730 (R) 726 (R) 739 (R) 776 (R) 925 (R) 1110 (R) 1196 (R) 1276 1416 1511 1739 1674 1486 1328 1244 1496 (R) 1714 1855Transportation structures (R) 29 (R) 40 (R) 26 (R) 24 (R) 29 (R) 31 (R) 33 (R) 35 (R) 44 61 71 63 66 69 65 61 67 70 85Transportation equipment 484 690 700 715 747 894 1077 1161 1232 1355 1440 1676 1608 1417 1263 1183 1429 (R) 1644 1770

Government transportation-related purchases total 598 834 1113 1229 1217 1248 1316 1338 1392 1469 1538 1656 1776 1912 2035 2173 2228 (R) 2343 2472Federal purchasesa 70 100 129 145 153 154 171 161 169 176 185 187 192 211 264 296 291 (R) 302 321State and local purchasesa 486 672 896 927 950 1001 1061 1093 1137 1211 1268 1379 1494 1603 1666 1715 1770 (R) 1882 2002Defense-related purchasesb 42 62 88 157 114 93 84 84 86 82 85 90 90 98 105 162 167 (R) 159 149

Table 3-3a US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand (Current $ billions)

KEY R = revised

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 145 235 535 545AU 545BU 3115 and 3155 available at httpwwwbeagov as of November 2008

b Defense-related purchases are the sum of the transportation of material and travel

a Federal purchases and state and local purchases are the sum of consumption expenditures and gross investment

NOTE

SOURCE

Transportation structures before 1997 includes only railroads

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Gross Domestic Demand 71616 71012 73389 75772 79113 80984 84057 88076 92725 97677 101964 102901 105177 108155 112614 (R) 115978 (R) 119041Total domestic transportation-related final demand (R) 8259 (R) 7930 (R) 8245 (R) 8663 (R) 9217 (R) 9397 (R) 9786 10344 10996 11794 11985 12072 12152 12249 (R) 12537 (R) 12692 (R) 12675Total transportation in GDD (percent) (R) 115 (R) 112 (R) 112 (R) 114 (R) 117 (R) 116 (R) 116 117 119 121 118 117 116 113 (R) 111 (R) 109 (R) 106Personal consumption of transportation total 5936 5532 5851 6114 6463 6586 6908 7307 7813 8321 8535 8721 8911 9059 (R) 9221 (R) 9252 (R) 9158

Motor vehicles and parts 2561 2266 2449 2592 2762 2723 2854 3047 3390 3724 3865 4058 4290 4421 4508 (R) 4499 (R) 4379Gasoline and oil 1418 1403 1460 1497 1517 1545 1579 1628 1703 1763 1757 1783 1819 1832 (R) 1867 (R) 1874 (R) 1842Transportation services 1957 1863 1942 2025 2184 2318 2475 2632 2720 2834 2913 2880 2802 2806 2846 (R) 2879 (R) 2937

Gross private domestic investment total (R) 844 (R) 819 (R) 840 (R) 988 (R) 1153 (R) 1246 (R) 1302 1425 1529 1742 1674 1494 1321 1194 1365 (R) 1555 (R) 1666Transportation structures (R) 34 (R) 31 (R) 38 (R) 37 (R) 39 (R) 40 (R) 48 66 75 65 66 66 61 56 59 60 (R) 71Transportation equipment 810 788 802 951 1114 1206 1254 1359 1454 1677 1608 1428 1260 1138 1306 (R) 1495 (R) 1595

Government transportation-related purchases total 1479 1579 1554 1561 1601 1565 1576 1612 1654 1731 1776 1857 1920 1996 1951 (R) 1885 (R) 1851Federal purchasesa 171 184 191 184 198 180 185 188 196 194 192 206 250 271 254 (R) 253 (R) 259State and local purchasesa 1196 1207 1224 1266 1305 1288 1294 1337 1370 1443 1494 1558 1573 1585 1557 (R) 1504 (R) 1476Defense-related purchasesb 112 188 139 111 98 97 97 87 88 94 90 93 97 140 140 (R) 128 116

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables tables 146 236 3116 3156 536 546AU and 546BU available at httpwwwbeagov as of December 2008

SOURCE

At the time of this publication the Bureau of Economic Analysis (BEA) had only published chained 2000 dollar estimates from 1990 onward Current dollar estimates for earlier years can be found in Table 3-3a

Transportation structures for 1990 to 1996 include only railroads and consists of air and land after 1996

Table 3-3b US Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand (Chained 2000 $ billions)

Chained 2000 $ value = (Quantity index for year n x 2000 current $ value)100

a Federal purchases and state and local purchases are the sum of consumption expenditures and gross investmentsb Defense-related purchases are the sum of the transportation of material and travel

NOTES

KEY R = revised

1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007GDP by industry total 8747 9268 9817 10128 10470 (R) 10961 11686 12422 13178 13808Agriculture forestry fishing and hunting 102 94 98 98 95 114 142 133 122 168Mining 75 85 121 119 107 143 171 224 262 275Utilities 181 185 189 202 207 220 240 240 273 281Construction 374 407 436 470 482 496 539 605 646 611Manufacturing durable goods 807 820 865 779 775 772 808 845 899 922Manufacturing nondurable goods 537 553 561 563 578 588 620 636 678 695Wholesale trade 543 578 592 607 615 637 687 722 773 805Retail trade 599 636 662 692 720 752 777 825 867 893Transportation and warehousing 274 287 302 297 305 317 345 365 387 407Information 382 439 458 477 483 489 531 558 560 586Finance insurance real estate rental and leasing 1685 1798 1931 2059 2142 2245 2379 2528 2686 2811Professional and business services 976 1065 1141 1166 1189 1249 1338 1464 1566 1694Educational services health care and social assistance 602 635 678 739 800 857 916 970 1026 1087Arts entertainment recreation accomodation and food services 306 328 350 362 382 399 428 452 485 513Other services except government 211 218 229 242 253 265 274 288 300 316Government total 1095 1141 1203 1258 1338 1418 1492 1569 1649 1743Government federal 353 362 379 386 417 449 479 502 528 554Government state and local 742 779 824 873 921 970 1012 1067 1122 1189Percent of GDPAgriculture forestry fishing and hunting 117 101 100 097 091 104 122 107 092 122Mining 086 092 124 117 102 131 147 180 199 199Utilities 207 200 193 200 198 201 206 193 207 204Construction 428 439 444 464 461 453 461 487 490 442Manufacturing durable goods 922 885 881 769 740 704 691 680 682 668Manufacturing nondurable goods 614 596 571 555 552 536 531 512 514 503Wholesale trade 621 623 603 599 588 581 588 582 587 583Retail trade 684 686 675 683 687 686 665 664 658 646Transportation and warehousing 313 310 307 293 291 289 295 294 294 295Information 436 474 467 471 461 446 454 449 425 425Finance insurance real estate rental and leasing 1926 1940 1967 2033 2046 2048 2036 2035 2038 2036Professional and business services 1116 1149 1162 1151 1136 1139 1145 1178 1189 1227Educational services health care and social assistance 688 685 691 730 764 782 784 781 778 787Arts entertainment recreation accomodation and food services 350 354 357 357 364 364 366 364 368 372Other services except government 241 235 233 238 241 242 234 231 227 229Government total 1251 1231 1225 1242 1278 1294 1276 1263 1251 1262Government federal 403 390 386 381 399 409 410 404 400 401Government state and local 848 841 839 862 880 885 866 859 851 861

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustrygpotables as of December 2008

Table 3-4a Contributions to Gross Domestic Product (GDP) Selected Industries (Current $ billions)

NOTENumbers may not add to totals due to rounding

SOURCE

KEY R = revised

1998 1999 2000 2001 2002 2003 (R) 2004 (R) 2005 (R) 2006 2007GDP by industry 9067 9470 9817 9891 10049 10301 10676 10990 11295 11524Agriculture forestry fishing and hunting 85 87 98 92 97 104 111 121 114 122Mining 123 127 121 115 108 107 108 104 111 111Utilities 171 179 189 180 188 201 212 200 202 204Construction 423 433 436 437 428 419 420 419 401 356Manufacturing durable goods 730 776 865 814 828 849 899 949 1026 1075Manufacturing nondurable goods 560 568 561 533 556 551 580 551 563 566Wholesale trade 565 594 592 633 639 653 666 688 692 698Retail trade 599 634 662 709 724 752 772 841 888 928Transportation and warehousing 276 287 302 294 300 306 334 348 355 364Information 377 438 458 477 487 502 560 609 626 676Finance insurance real estate rental and leasing 1742 1834 1931 2005 2024 2072 2132 2222 2312 2359Professional and business services 1049 1106 1141 1133 1132 1181 1229 1297 1341 1399Educational services health care and social assistance 649 660 678 700 730 762 787 809 835 852Arts entertainment recreation accomodation and food services 327 339 350 348 354 365 379 386 400 407Other services except government 233 230 229 225 226 231 231 236 235 235Government total 1166 1179 1203 1212 1232 1248 1254 1262 1269 1286Government federal 376 373 379 373 380 389 393 394 393 396Government state and local 790 806 824 840 852 859 861 869 876 890

Agriculture forestry fishing and hunting 093 092 100 093 096 101 104 110 101 106Mining 136 134 124 116 107 104 101 094 099 097Utilities 189 189 193 182 187 195 199 182 179 177Construction 467 458 444 441 426 407 394 381 355 309Manufacturing durable goods 805 819 881 823 824 825 842 863 908 932Manufacturing nondurable goods 617 600 571 539 553 535 544 502 499 491Wholesale trade 623 627 603 640 636 634 624 626 613 606Retail trade 660 669 675 716 720 730 723 765 786 805Transportation and warehousing 304 303 307 297 299 297 313 316 314 316Information 416 462 467 482 485 487 525 554 554 587Finance insurance real estate rental and leasing 1921 1937 1967 2028 2014 2011 1997 2022 2047 2047Professional and business services 1157 1167 1162 1146 1126 1147 1151 1180 1188 1214Educational services health care and social assistance 715 697 691 708 726 739 737 736 739 740Arts entertainment recreation accomodation and food services 361 358 357 351 352 354 355 352 354 353Other services except government 257 243 233 228 225 224 216 214 208 204Government total 1286 1245 1225 1226 1226 1212 1174 1149 1123 1116Government federal 414 394 386 377 378 378 368 358 348 343Government state and local 871 851 839 849 848 834 806 790 775 773

US Department of Commerce Bureau of Economic Analysis Industry Economic Accounts available at httpwwwbeagovindustrygpotables as of December 2008SOURCE

Numbers may not add to totals due to roundingNOTES

The formula for the chain-type quantity indexes uses weights of more than one period Therefore the corresponding chained-dollar estimates are usually not additive

Table 3-4b Contributions to Gross Domestic Product (GDP) Selected Industries (Chained 2000 $ billions)

Percent of GDP

Chained (2000) dollar series are calculated as the product of the chain-type quantity index and the 2000 current-dollar value of the corresponding series divided by 100

KEY R = revised

Table 3-5 Gross Domestic Product (GDP) by Major Social Function (Current $ billions) 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007

Total GDP 5996 6338 6657 7072 7398 7817 8304 8747 9269 9817 10128 10470 10961 11686 12422 13178 13808Housing 1416 1501 1600 1723 1803 1917 2023 2152 2298 2436 2535 2610 2755 2977 3220 3370 3360

Percent of total 236 237 240 244 244 245 244 246 248 248 250 249 251 255 259 256 243Healthcare 843 920 980 1036 1099 1154 1226 1305 1384 1491 1596 1714 1847 1981 2123 2259 2401

Percent of total 141 145 147 147 149 148 148 149 149 152 158 164 169 170 171 171 174Food 796 826 844 894 906 965 992 1030 1092 1163 1203 1229 1274 1351 1420 1506 1602

Percent of total 133 130 127 126 123 123 119 118 118 118 119 117 116 116 114 114 116Transportation 623 668 715 778 810 868 (R) 932 (R) 969 (R) 1048 (R) 1095 (R) 1088 (R) 1118 (R) 1144 (R) 1213 1315 1386 1452

Percent of total 104 105 107 110 110 111 (R) 11 (R) 11 (R) 11 (R) 11 (R) 11 (R) 11 (R) 10 (R) 10 106 105 105Education 413 432 453 478 512 542 577 613 654 710 758 793 839 880 928 983 1048

Percent of total 69 68 68 68 69 69 69 70 71 72 75 76 77 75 75 75 76Other 1906 1991 2066 2162 2267 2369 (R) 2554 (R) 2679 (R) 2793 (R) 2922 (R) 2947 (R) 3006 (R) 3102 (R) 3284 3416 3675 3945

Percent of total 318 314 310 306 306 303 (R) 31 (R) 31 (R) 30 (R) 30 (R) 29 (R) 29 (R) 28 (R) 28 275 279 286KEY R = revised

NOTENumbers may not add to totals due to rounding

SOURCE

US Department of Transportation Bureau of Transportation Statistics calculated based on data from US Department of Commerce Bureau of Economic Analysis National Income and Product Account Tables available at httpwwwbeagovnationalnipawebIndexasp as of February 2009

c

Table 3-6 National Transportation and Economic Trends1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Passenger-miles (billions) 1327 1630 2170 2561 2895 3326 3946 3976 4089 4166 4262 4309 4442 4580 4706 4837 4953 5179 (R) 5181 5259 5436 5505 5559 U UIndex (1980 = 100) 46 56 75 88 100 115 136 137 141 144 147 149 153 158 163 167 171 179 (R) 179 182 188 190 192 U UTon-miles (billions) U U U U 3404 3314 3622 3636 3746 3767 3945 4104 4174 4179 4229 4301 4329 4357 4409 4415 4541 4575 4638 U UIndex (1980 = 100) U U U U 100 97 106 107 110 111 116 121 123 123 124 126 127 128 130 130 133 134 136 U UPopulationa (millions) 181 194 205 216 228 238 250 253 257 260 263 267 268 273 276 279 (R) 282 (R) 285 (R) 288 (R) 291 (R) 294 (R) 296 299 302 UIndex (1980 = 100) 79 85 90 95 100 105 110 111 113 114 116 117 118 120 121 123 (R) 124 (R) 125 (R) 127 (R) 128 (R) 129 (R) 130 131 133 UIndustrial Production Indexb (2002=100) 26 35 42 (R) 46 (R) 56 (R) 61 (R) 70 (R) 69 (R) 71 (R) 73 (R) 77 (R) 80 (R) 84 (R) 90 (R) 95 (R) 100 (R) 104 (R) 100 100 (R) 101 (R) 104 (R) 107 110 111 109Gross Domestic ProductCurrent $ (billions) 526 719 1039 1638 2790 4220 5803 5996 6338 6657 7072 7398 7817 8304 8747 9268 9817 10128 10470 10961 (R) 11686 (R) 12422 13178 13808 14265Index (1980 = 100) 19 26 37 59 100 151 208 215 227 239 254 265 280 298 314 332 352 363 375 393 (R) 419 (R) 445 472 495 511Chained (2000) $ (billions) 2502 3191 3772 4311 5162 6054 7113 7101 7337 7533 7836 8032 8329 8704 9067 9470 9817 9891 10049 10301 (R) 10676 (R) 10990 11295 11524 11653KEY R = revised U = data are not availablea Annual estimates as of July 1 Includes Armed Forces abroadb Industrial Production Index covers manufacturing mining and utilitie

SOURCESPassenger-milesSummation of all modes from table 1-37 less transit motor busTon-milesSummation of all modes from table 1-46bPopulationUS Department of Commerce Census BureauStatistical Abstract of the United States (Washington DC Annual issue) table 2 available athttpwwwcensusgov as March 18 2009Industrial Production Index1960-2007 Council of Economic AdvisorsEconomic Report of the President table B-52 available at httpwwwgpoaccessgoveopdownloadhtml as of Mar18 20092008 The Federal ReserveIndustrial Production and Capacity Utilization Current Monthly Release (Washington DC March 16 2009) table 11 available ahttpwwwfederalreservegovreleasesg17 as March 18 2009Gross Domestic ProductUS Department of Commerce Bureau of Economic AnalysisNational Income and Product Account Tables tables 115 and 116 available athttpwwwbeagovnationalnipawebSelectTableaspSelected=N as of March 18 2009

Section BTransportation and

Consumer Expenditures

R

y transit

g

Table 3-7 Passenger and Freight Transportation Expenditures (Current $ millions)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997

TOTAL passenger and freight transportation expenditures 107461 146523 195871 299221 569879 780232 967746 946924 1001871 1061218 1138107R1190009 1267010 134179

PASSENGER transportation expenditures total 59694 81592 111893 183382 356143 506620 616796 591715 626791 664883 717787R747412 799807 84673

Highway total 55099 74967 100577 163025 314722 451825 537840 513069 546971 583977 635195R657410 709738 74572

Highway auto purchases and ownershipa

51610 71064 94978 152238 297128 426796 507308 481929 514970 551558 601206R619433 672416 70606

Local bus and transitb

1337 1454 1841 4697 9297 13548 16721 17356 18012 18794 20082 21647 21318 2193

Local taxi 1107 1113 1740 2900 2755 3770 4030 4030 4030 4340 4650 4960 5425 573

Local school bus 486 707 1219 2174 3833 5722 8031 7879 8060 7618 7847 9889 9082 1035

Intercity bus 559 629 799 1016 1709 1989 1750 1875 1899 1667 1410 1481 1497 164

Air totalc

3555 5682 10565 18851 38135 50319 73045 72841 73780 74123 76146 81155 82331 9326

Rail totald

759 598 464 1212 2976 3875 4521 4414 4571 5278 4882 6693 5895 576

Water total (includes international) 281 345 287 294 310 601 1391 1391 1469 1505 1564R2155 1843 197

FREIGHT transportation expenditures total 47767 64931 83978 115839 213736 273612 350950 355209 375080 396335 420320R442597 467203 4950

Highway total 32289 47477 62494 84843 155331 205645 270776 274381 292930 311878 330716 348109 368545 39666

Local truck 14289 23779 28819 37287 60545 82200 108350 109650 116000 122050 125712 128352 132973 13872

Intercity bus 42 70 122 156 235 245 126 131 130 128 128 130 132 13

Intercity truck 17958 23628 33553 47400 94551 123200 162300 164600 176800 189700 204876 219627 235440 25780

Air (domestic and international) total 354 708 1171 1838 4013 6817 13706 14353 14950 15805 17249 18755 20448 2283

Rail total 9028 9923 11869 16509 27858 29150 30067 30003 30473 30775 33121 34605 35059 3534

Water total 3487 3903 5257 8221 15498 18448 20121 20306 19895 20768 21150 22709 24564 2103

Oil pipeline total 895 1051 1396 2220 7548 8910 8506 8095 8548 8470 8676 9077 8637 863

Other totale

1714 1869 1791 2208 3488 4642 7774 8071 8284 8639 9408 R9342 9950 1055

KEY R = reviseda Includes business expenditures for passenger carsb Includes federal state operating subsidies and federal capital grants Beginning in 1994 includes taxes levied directly bagencies and local subsidies such as bridge and tunnel tolls and nontransit parking lot fundsc Air includes aircraft and operating costs plus domestic and international air passenger federal excise taxesd Data from 1980 include federal state local operating subsidies and capital grants Figures also include federal operating subsidies and capital grants for Amtrak and the Northeast Corridore Domestic freight forwarders revenues after payment to live-haul carriers plus other shipper costs such as loading and unloadinfreight cars

NOTEPreviously published data are revised only for the selected years included in the most recent source publication

SOURCEPassenger and freight1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 38-41 and similar tables in earlier editions

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Aviation fuel (excluding taxes)Aviation gasolinea 1084 1201 1120 1047 1027 990 957 1005 1116 1128 975 1059 1306 1323 1288 1493 1819 2231 2682 2849Jet fuel kerosenea 868 796 766 652 610 580 534 540 651 613 452 543 899 775 721 872 1207 1735 1998 2169Highway fuel (including taxes)Gasoline premiumb N 1340 1349 1321 1316 1302 1305 1336 1413 1416 1250 1357 1693 1657 1556 1777 2068 2491 2805 3035Gasoline regularb 1245 1202 1164 1140 1127 1108 1112 1147 1231 1234 1059 1165 1510 1461 1358 1591 1880 2295 2589 2801Gasoline all types 1221 1196 1217 1196 1190 1173 1174 1205 1288 1291 1115 1221 1563 1531 1441 1638 1923 2338 2635 2849Diesel no 2 (excluding taxes)a 818 789 725 648 619 602 554 560 681 642 494 584 935 842 762 944 1243 1786 (R) 2096 2273Railroad fuelDiesel 826 778 692 672 633 631 599 600 677 678 570 555 875 855 733 893 1070 1514 1921 U

US Department of Energy Energy Information Administration Monthly Energy Review (Washington DC May 2007) tables 94 and 97 Internet site httpwwweiadoegovemeumerpriceshtml as of March 26 2008Railroad fuelAssociation of American Railroads Railroad Facts (Washington DC Annual issues) p 61

b Average retail price

SOURCESAll data except railroad fuel

NOTEFor a comparison with other consumer goods prices see table 3-9

KEY N = data do not exist R = revised U = data are not available

a Sales to end-users (those sales made directly to the ultimate consumer including bulk customers in agriculture industry and utility)

Table 3-8 Sales Price of Transportation Fuel to End-Users (Current cent gallon)

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Retail price of motor gasoline all types (constant 2006 dollars per gallon)Total service station price 185 212 299 224 188 177 171 164 160 159 165 162 138 148 183 174 161 176 202 239 262Service station price excluding taxes 128 166 265 183 146 128 123 114 106 106 113 111 087 098 134 126 114 129 155 191 216Average motor fuel taxesa 058 046 034 041 041 049 048 049 053 053 052 051 051 050 049 048 047 047 047 047 046Retail price of motor gasoline all types (current dollars per gallon)Total service station price 036 057 122 120 122 120 119 117 117 121 129 129 112 122 156 153 144 164 192 234 264Consumer price indices (1982-84 = 100)All items 39 54 82 108 131 136 140 145 148 152 157 161 163 167 172 177 180 184 189 195 202Food 39 60 87 106 132 136 138 141 144 148 153 157 161 164 168 173 176 180 186 191 195Shelter 36 49 81 110 140 146 151 156 161 166 171 176 182 187 193 201 208 213 219 224 232Apparel 59 73 91 105 124 129 132 134 133 132 132 133 133 131 130 127 124 121 120 120 120Motor fuel 28 45 97 99 101 99 99 98 99 100 106 106 92 101 129 125 117 136 160 196 UMedical care 34 48 75 114 163 177 190 201 211 221 228 235 242 251 261 273 286 297 310 323 336KEY U = data are not available

SOURCESRetail price (constant 2006 dollar)American Petroleum Institute Policy Analysis and Statistics personal communication Sept 24 2007

Table 3-9 Price Trends of Gasoline v Other Consumer Goods and Services

a State and federal taxes are weighted averages computed by the American Petroleum Institute based on gasoline sold in the 50 states Local taxes are excluded but additional state sales taxes levied on motor fuel are included

Council of Economic Advisors Economic Report of the President 2007 (Washington DC Annual Issues) tables B-60 and B-61 Internet site httpwwwgpoaccessgoveopdownloadhtml as of Sept 1 2007

Retail price (current dollar)1970-75 US Department of Energy Energy Information Agency Annual Energy Review 2003 (Washington DC 2004) table 524 Internet site httpwwweiadoegov as of Sep 7 2004

1980-2006 Ibid Monthly Energy Review (Washington DC March 2007) table 94 Internet site httpwwweiadoegov as of Sept 1 2007 Consumer price indices

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003Railroads line-haul operating (SIC 4011) 1284 1075 1093 1099 1109 1118 1117 1115 1121 1134 1130 1145 1166 1189 1214Motor freight transportation and warehousing (SIC 42) 0693 U U U 999 1019 1045 1063 1089 1116 1148 1194 1231 1245 1279Water transportation (SIC 44) 1292 U U 1000 997 1000 1030 1037 1042 1056 1130 1226 1298 1346 1471Air transportation (SIC 45) 1292 U U 1000 1056 1085 1137 1211 1253 1245 1308 1477 1572 1578 1621Pipelines except natural gas (SIC 46) 1286 958 961 964 966 1026 1108 1046 988 992 983 1023 1103 1119 1117Travel agencies (SIC 4724) 1289 1073 1136 1134 1153 1153 1113 1099 1145 1121 1120 1218 1233 1140 1125Freight transportation arrangement (SIC 4731) 1294 U U U U 1000 998 1015 1014 997 992 1003 1003 995 999

Table 3-10a Producer Price Indices for Transportation Services (Base date = 100)

KEY SIC = Standard Industrial Classification U = data are not available

NOTEData are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

US Department of Labor Bureau of Labor Statistics Producer Price Index Industry Data Internet site wwwblsgovdatasahtm as of Sept 19 2007

In 2004 the North American Industry Classification System (NAICS) replaced the SIC as the Bureau of Labor Statistics measure of economic activitySOURCE

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Air Transportation (NAICS 481) 1292 U U 1000 1056 1085 1137 1211 1253 1245 1308 1477 1572 1578 1621 1623 1710 1804 1837 2043(p)Scheduled Air Transportation (NAICS 4811) 1289 1102 1212 1142 1254 1291 1359 1455 1508 1493 1573 1801 1930 1933 1985 1986 2093 2205 2245 2495(p)

Scheduled Air Transportation (NAICS 48111) 1289 1102 1212 1142 1254 1291 1359 1455 1508 1493 1573 1801 1930 1933 1985 1986 2093 2205 2245 2495(p)Scheduled Passenger Air Transportation (NAICS 481111) 1289 1106 1224 1148 1268 1306 1378 1481 1539 1526 1612 1865 2006 2004 2057 2058 2171 2296 2345 2576(p)Scheduled Freight Air Transportation (NAICS 481112) 1203 U U U U U U U U U U U U U 1000 1002 1049 1084 1090 1285(p)

Nonscheduled Air Transportation (NAICS 4812) 1296 U U U U U U 1000 978 992 1022 1073 1127 1147 1178 1199 1267 1368 1485 1659(p)Nonscheduled Air Transportation (NAICS 48121) 1296 U U U U U U 1000 978 992 1022 1073 1127 1147 1178 1199 1267 1368 1485 1659(p)

Rail Transportation (NAICS 482) 1296 U U U U U U 1000 1005 1017 1013 1026 1045 1066 1088 1134 1252 1359 1409 1575(p)Rail Transportation (NAICS 4821) 1296 U U U U U U 1000 1005 1017 1013 1026 1045 1066 1088 1134 1252 1359 1409 1575(p)

Rail Transportation (NAICS 48211) 1296 U U U U U U 1000 1005 1017 1013 1026 1045 1066 1088 1134 1252 1359 1409 1575(p)Line -Haul Railroads (NAICS 482111) 1284 1075 1093 1099 1109 1118 1117 1115 1121 1134 1130 1145 1166 1189 1214 1265 1396 (R) 1516 1572 1757(p)

Water Transportation (NAICS 483) 1203 U U U U U U U U U U U U U 1000 1013 1064 1111 1135 1274(p)Deep Sea Coastal and Great Lakes Water Transportation (NAICS 4831) NA U U U U U U U U U U U U U U U U U U U

Deep Sea Coastal and Great Lakes Water Transportation (NAICS 48311) NA U U U U U U U U U U U U U U U U U U UDeep Sea Freight Transportation (NAICS 483111) 0688 1131 1195 1164 1159 1144 1133 1141 1131 1167 1340 1558 1722 1858 2199 2259 2319 2333 2300 2608(p)Coastal and Great Lakes Freight Transportation (NAICS 483113) 1203 U U U U U U U U U U U U U 1000 1017 1099 1199 1302 1417(p)

Inland Water Transportation (NAICS 4832) 1203 U U U U U U U U U U U U U 1000 1032 1193 1441 1467 1710(p)Inland Water Transportation (NAICS 48321) 1203 U U U U U U U U U U U U U 1000 1032 1193 1441 1467 1710(p)

Inland Water Freight Transportation (NAICS 483211) 1290 1000 992 977 958 985 1146 1099 1059 1068 1112 1179 1234 1206 1247 1310 1514 1829 1861 2170(p)Truck Transportation (NAICS 484) 1203 U U U U U U U U U U U U U 1000 1031 1090 1132 1154 1228(p)

General Freight Trucking (NAICS 4841) 1203 U U U U U U U U U U U U U 1000 1035 1100 1141 1165 1233(p)General Freight Trucking Local (NAICS 48411) 1203 U U U U U U U U U U U U U 1000 1052 1115 1153 1196 1294(p)

General Freight Trucking Local (NAICS 484110) 1203 U U U U U U U U U U U U U 1000 1052 1115 1153 1196 1294(p)General Freight Trucking Long Distance (NAICS 48412) 1203 U U U U U U U U U U U U U 1000 1032 1097 1138 1159 1220(p)

General Freight Trucking Long Distance Truckload (NAICS 484121) 1203 U U U U U U U U U U U U U 1000 1027 1086 1120 1135 1194(p)General Freight Trucking Long Distance Less Than Truckload (NAICS 484122) 1203 U U U U U U U U U U U U U 1000 1042 1118 1177 1210 1276(p)

Specialized Freight Trucking (NAICS 4842) 1203 U U U U U U U U U U U U U 1000 1023 1070 1114 1131 1220(p)Used Household and Office Goods Moving (NAICS 48421) 1203 U U U U U U U U U U U U U 1000 1026 1060 1078 1088 1120(p)

Used Household and Office Goods Moving (NAICS 484210) 1203 U U U U U U U U U U U U U 1000 1026 1060 1078 1088 1119(p)Specialized Freight (except Used Goods) Trucking Local (NAICS 48422) 1203 U U U U U U U U U U U U U 1000 1027 1071 1123 1142 1268(p)

Specialized Freight (except Used Goods) Trucking Local (NAICS 484220) 1203 U U U U U U U U U U U U U 1000 1027 1071 1123 1142 1268(p)Specialized Freight (except Used Goods) Trucking Long Distance (NAICS 48423) 1203 U U U U U U U U U U U U U 1000 1017 1075 1128 1148 1235(p)

Specialized Freight (except Used Goods) Trucking Long Distance (NAICS 484230) 1203 U U U U U U U U U U U U U 1000 1017 1075 1128 1148 1235(p)Pipeline Transportation (NAICS 486) NA U U U U U U U U U U U U U U U U U U U

Pipeline Transportation of Crude Oil (NAICS 4861) 1203 U U U U U U U U U U U U U 1000 1039 1133 1120 1254 1370(p)Pipeline Transportation of Crude Oil (NAICS 48611) 1203 U U U U U U U U U U U U U 1000 1039 1133 1120 1254 1370(p)

Pipeline Transportation of Crude Oil (NAICS 486110) 0686 942 944 948 950 1025 1134 1047 960 968 955 1010 1111 1123 1111 1152 1255 1353 1389 1518(p)Other Pipeline Transportation (NAICS 4869) 1203 U U U U U U U U U U U U U 1000 1014 1052 1082 1150 1215(p)

Pipeline Transportation of Refined Petroleum Products (NAICS 48691) 1203 U U U U U U U U U U U U U 1000 1014 1052 1082 1150 1215(p)Pipeline Transportation of Refined Petroleum Products (NAICS 486910) 0686 1008 1011 1012 1013 1034 1046 1043 1053 1048 1049 1053 1085 1110 1127 1160 1203 1238 1317 1390(p)

Table 3-10b Producer Price Indices for Selected Transportation and Warehousing Services (North American Industry Classification System [NAICS] basis) (Base date = 100

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Table 3-10b Producer Price Indices for Selected Transportation and Warehousing Services (North American Industry Classification System [NAICS] basis) (Base date = 100

Support Activities for Transportation (NAICS 488) 1203 U U U U U U U U U U U U U 1000 1011 1041 1065 1085 1116(p)Support Activities for Air Transportation (NAICS 4881) 1296 U U U U U U 1000 1025 1052 1086 1142 1175 1214 1251 1281 1342 1386 1410 1452(p)

Airport Operations (NAICS 48811) 1203 U U U U U U U U U U U U U 1000 1011 1048 1086 1096 1124(p)Air Traffic Control (NAICS 488111) NA U U U U U U U U U U U U U U U U U U UOther Airport Operations (NAICS 488119) 1203 U U U U U U U U U U U U U 1000 1011 1048 1086 1097 1125(p)

Other Support Activities for Air Transportation (NAICS 48819) 1203 U U U U U U U U U U U U U 1000 1020 1075 1108 1129 1167(p)Other Support Activities for Air Transportation (NAICS 488190) 1203 U U U U U U U U U U U U U 1000 1019 1074 1108 1129 1167(p)

Support Activities for Water Transportation (NAICS 4883) 1203 U U U U U U U U U U U U U 1000 1010 1035 1077 1127 1171(p)Port and Harbor Operations (NAICS 48831) 1203 U U U U U U U U U U U U U 1000 1024 1059 1088 1148 1174(p)

Port and Harbor Operations (NAICS 488310) 1203 U U U U U U U U U U U U U 1000 1024 1059 1088 1149 1174(p)Marine Cargo Handling (NAICS 48832) 1203 U U U U U U U U U U U U U 1000 1005 1022 1051 1090 1105(p)

Marine Cargo Handling (NAICS 488320) 1291 U 1000 1012 1026 1029 1021 1016 1037 1049 1067 1091 1114 1109 1115 1132 1151 1184 1228 1244(p)Navigational Services to Shipping (NAICS 48833) 1203 U U U U U U U U U U U U U 1000 1015 1057 1139 1206 1336(p)

Navigational Services to Shipping (NAICS 488330) 1292 U U 1000 998 1015 1072 1109 1133 1156 1197 1242 1254 1274 1293 1331 1386 1495 1582 1753(p)Freight Transportation Arrangement (NAICS 4885) 1296 U U U U U U 1000 994 977 973 983 982 975 979 989 991 988 1002 1025(p)

Freight Transportation Arrangement (NAICS 48851) 1296 U U U U U U 1000 994 977 973 983 982 975 979 989 991 988 1002 1025(p)Freight Transportation Arrangement (NAICS 488510) 1294 U U U U 1000 998 1015 1014 997 992 1003 1003 995 999 1009 1011 (R) 1009 1022 1046(p)

Postal Service (NAICS 491) 0689 1000 1179 1198 1198 1198 1322 1323 1323 1323 1353 1352 1434 1502 1550 1550 1550 1647 1719 1789(p)Postal Service (NAICS 4911) 0689 1000 1179 1198 1198 1198 1322 1323 1323 1323 1353 1352 1434 1502 1550 1550 1550 1647 1719 1789(p)

Couriers and Messengers (NAICS 492) 1203 U U U U U U U U U U U U U 1000 1061 1138 1215 1315 1420(p)Couriers (NAICS 4921) 1203 U U U U U U U U U U U U U 1000 1066 1150 1232 1335 1444(p)Local Messengers and Local Delivery (NAICS 4922) 1203 U U U U U U U U U U U U U 1000 1011 1027 1044 1081 1122(p)

Warehousing and Storage (NAICS 493) 1206 U U U U 827 841 846 854 865 890 908 932 945 958 U U U 1025 1066(p)Warehousing and Storage (NAICS 4931) 1206 U U U U U U U U U U U U U U U U U 1025 1066(p)

General Warehousing and Storage (NAICS 49311) 1203 U U U U U U U U U U U U U 1000 1003 1015 1038 1073 1121(p)General Warehousing and Storage (NAICS 493110) 1203 U U U U U U U U U U U U U 1000 1004 1016 1038 1074 1121(p)

Refrigerated Warehousing and Storage (NAICS 49312) 1203 U U U U U U U U U U U U U 1000 1005 1010 1024 1040 1068(p)Refrigerated Warehousing and Storage (NAICS 493120) 1291 U 1000 1010 1018 1027 1042 1046 1051 1054 1064 1081 1098 1098 1098 1105 1110 1125 1143 1173(p)

Farm Product Warehousing and Storage (NAICS 49313) 1203 U U U U U U U U U U U U U 1000 1002 1015 1038 1040 1087(p)Farm Product Warehousing and Storage (NAICS 493130) 1292 U U 1000 1001 1009 1040 1024 1029 1041 1071 1106 1142 1156 1161 1165 1181 1206 1209 1263(p)

Data are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

US Department of Labor Bureau of Labor Statistics Producer Price Index Industry Data available at wwwblsgovdatasahtm as of February 2009

KEY NA = not applicable NAICS = North American Industry Classification System P = preliminary R = revised U = data are not availabl

NOTES

SOURCE

eries Internet s

Table 3-11a Producer Price Indices for Transportation Equipment (Base date = 100)Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001

Transportation equipment (SIC 37) 1284 1156 1198 1230 1263 1301 1322 1342 1341 1336 1345 1368 1379

Motor vehicles and motor vehicle equipment (SIC 371) 1284 1130 1174 1205 1238 1275 1291 1304 1290 1277 1283 1292 1285

Motor vehicles and passenger car bodies (SIC 3711) 0682 1199 1253 1291 1332 1380 1391 1404 1387 1368 1376 1387 1376

Truck and bus bodies (SIC 3713) 1282 1254 1281 1311 1328 1368 1455 1499 1535 1553 1570 1603 1633

Motor vehicle parts and accessories (SIC 3714) 1282 1089 1103 1110 1117 1120 1135 1140 1131 1126 1120 1116 1115

Truck trailers (SIC 3715) 1279 1256 1281 1312 1342 1386 1486 1478 1477 1522 1536 1566 1561

Motor homes built on purchased chassis (SIC 3716) 0684 1258 1287 1318 1339 1345 1378 1416 1431 1450 1476 1494 1518

Aircraft (SIC 3721) 1285 1160 1204 1243 1286 1329 1373 1405 1423 1427 1441 1505 1557

Aircraft engines and engine parts (SIC 3724) 1285 1126 1179 1236 1257 1290 1309 1334 1348 1358 1368 1397 1440

Aircraft parts and auxiliary equipment NEC (SIC 3728) 0685 1163 1203 1249 1280 1307 1317 1363 1390 1408 1422 1433 1466

Shipbuilding and repairing (SIC 3731) 1285 1140 1162 1183 1233 1268 1276 1301 1333 1348 1354 1376 1401

Boatbuilding and repairing (SIC 3732) 1281 1360 1401 1449 1477 1502 1546 1596 1650 1686 1727 1794 1863

Railroad equipment (SIC 3743) 0684 1142 1173 1187 1198 1226 1276 1296 1274 1275 1281 1286 1282

Motorcycles bicycles and parts (SIC 3751) 1284 1099 1118 1144 1169 1190 1222 1233 1233 1242 1255 1277 1279

Travel trailers and campers (SIC 3792) 0684 1181 1201 1222 1232 1247 1272 1290 1296 1303 1320 1332 1342

Transportation equipment NEC (SIC 3799) 0685 1125 1149 1161 1172 1191 1233 1266 1287 1313 1322 1355 1381

KEY NEC = not elsewhere classified SIC = Standard Industrial Classification

NOTEBureau of Labor Statistics data are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

SOURCEUS Department of Labor Bureau of Labor Statistics Producer Price Index Revision-Current Swwwblsgovdatasahtm as of June 22 2004

ite

Base date 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002Transportation Equipment Manufacturing (NAICS 336) 1203 U U U U U U U U U U U U U Motor Vehicle Manufacturing (NAICS 3361) 1203 U U U U U U U U U U U U U Automobile and Light Duty Motor Vehicle Manufacturing (NAICS 33611) 1203 U U U U U U U U U U U U U Automobile and Light Duty Motor Vehicle Manufacturing (NAICS 336110) 0682 1199 1253 1291 1332 1380 1391 1404 1387 1368 1376 1387 1376 1349 Automobile Manufacturing ((NAICS 336111) NA U U U U U U U U U U U U U Light Truck and Utility Vehicle Manufacturing (NAICS 336112) NA U U U U U U U U U U U U U Heavy Duty Truck Manufacturing (NAICS 33612) 1203 U U U U U U U U U U U U U Heavy Duty Truck Manufacturing (NAICS 336120) 1203 U U U U U U U U U U U U U Motor Vehicle Body and Trailer Manufacturing (NAICS 3362) 1203 U U U U U U U U U U U U U Motor Vehicle Body and Trailer Manufacturing (NAICS 33621) 1203 U U U U U U U U U U U U U Motor Vehicle Body Manufacturing (NAICS 336211) 1282 1254 1281 1311 1328 1368 1455 1499 1535 1553 1570 1603 1633 1656 Truck Trailer Manufacturing (NAICS 336212) 1279 1256 1281 1312 1342 1386 1486 1478 1477 1522 1536 1566 1561 1556 Motor Home Manufacturing (NAICS 336213) 0684 1258 1287 1318 1339 1345 1378 1416 1431 1450 1476 1494 1518 1548 Travel Trailer and Camper Manufacturing (NAICS 336214) 1203 U U U U U U U U U U U U U Motor Vehicle Parts Manufacturing (NAICS 3363) 1203 U U U U U U U U U U U U U Motor Vehicle Gasoline Engine and Engine Parts Manufacturing (NAICS 33631) 1203 U U U U U U U U U U U U U Carburetor Piston Piston Ring and Valve Manufacturing (NAICS 336311) 1282 1186 1197 1207 1219 1227 1248 1264 1271 1270 1265 1278 1285 1291 Gasoline Engine and Engine Parts Manufacturing (NAICS 336312) 1203 U U U U U U U U U U U U U Motor Vehicle Electrical and Electronic Equipment Manufacturing (NAICS 33632) 1203 U U U U U U U U U U U U U Vehicular Lighting Equipment Manufacturing (NAICS 336321) 1283 1128 1218 1227 1232 1232 1241 1243 1237 1247 1247 1227 1225 1227 Other Motor Vehicle Electrical and Electronic Equipment Manufacturing (NAICS 336322) 1203 U U U U U U U U U U U U U Motor Vehicle Steering and Suspension Components (except Spring) Manufacturing (NAICS 33633) 1203 U U U U U U U U U U U U U Motor Vehicle Steering and Suspension Components (except Spring) Manufacturing (NAICS 336330) 1203 U U U U U U U U U U U U U Motor Vehicle Brake System Manufacturing (NAICS 33634) 1203 U U U U U U U U U U U U U Motor Vehicle Brake System Manufacturing (NAICS 336340) 1203 U U U U U U U U U U U U U Motor Vehicle Transmission and Power Train Parts Manufacturing (NAICS 33635) 1203 U U U U U U U U U U U U U Motor Vehicle Transmission and Power Train Parts Manufacturing (NAICS 336350) 1203 U U U U U U U U U U U U U Motor Vehicle Seating and Interior Trim Manufacturing (NAICS 33636) 1203 U U U U U U U U U U U U U Motor Vehicle Seating and Interior Trim Manufacturing (NAICS 336360) 1203 U U U U U U U U U U U U U Motor Vehicle Metal Stamping (NAICS 33637) 1203 U U U U U U U U U U U U U Motor Vehicle Metal Stamping (NAICS 336370) 1282 1126 1117 1115 1114 1119 1117 1125 1128 1119 1104 1106 1101 1103 Other Motor Vehicle Parts Manufacturing (NAICS 33639) 1203 U U U U U U U U U U U U U Motor Vehicle Air-Conditioning Manufacturing (NAICS 336391) 1203 U U U U U U U U U U U U U All Other Motor Vehicle Parts Manufacturing (NAICS 336399) 1203 U U U U U U U U U U U U U Aerospace Product and Parts Manufacturing (NAICS 3364) 0685 1177 1223 1266 1301 1340 1373 1408 1427 1434 1448 1499 1547 1573 Aerospace Product and Parts Manufacturing (NAICS 33641) 0685 1177 1223 1266 1301 1340 1373 1408 1427 1434 1448 1499 1547 1573 Aircraft Manufacturing (NAICS 336411) 1285 1160 1204 1243 1286 1329 1373 1405 1423 1427 1441 1505 1557 1588 Aircraft Engine and Engine Parts Manufacturing (NAICS 336412) 1285 1126 1179 1236 1257 1290 1309 1334 1348 1358 1368 1397 1440 1457 Other Aircraft Parts and Auxiliary Equipment Manufacturing (NAICS 336413) 0685 1163 1203 1249 1280 1307 1317 1363 1390 1408 1422 1433 1466 1481 Guided Missile and Space Vehicle Manufacturing (NAICS 336414) NA U U U U U U U U U U U U U Guided Missile and Space Vehicle Propulsion Unit and Propulsion Unit Parts Manufacturing (NAICS 336415) NA U U U U U U U U U U U U U Other Guided Missile and Space Vehicle Parts and Auxiliary Equipment Manufacturing (NAICS 336419) NA U U U U U U U U U U U U U Railroad Rolling Stock Manufacturing (NAICS 3365) 0684 1142 1173 1187 1198 1226 1276 1297 1274 1276 1282 1286 1283 1277 Railroad Rolling Stock Manufacturing (NAICS 336510) 0684 1142 1173 1187 1198 1226 1276 1296 1274 1275 1281 1286 1282 1277 Ship and Boat Building (NAICS 3366) 1284 1201 1227 1257 1299 1330 1350 1382 1420 1441 1456 1490 1526 1568 Ship and Boat Building (NAICS 33661) 1284 1201 1227 1257 1299 1330 1350 1382 1420 1441 1456 1490 1526 1568 Ship Building and Repairing (NAICS 336611) 1285 1140 1162 1183 1233 1268 1276 1301 1333 1348 1354 1376 1401 1441 Boat Building (NAICS 336612) 1281 1360 1401 1449 1477 1502 1546 1596 1650 1686 1727 1794 1863 1905 Other Transportation Equipment Manufacturing (NAICS 3369) 1203 U U U U U U U U U U U U U Other Transportation Equipment Manufacturing (NAICS 33699) 1203 U U U U U U U U U U U U U Motorcycle Bicycle and Parts Manufacturing (NAICS 336991) 1284 1099 1118 1144 1169 1190 1222 1233 1233 1242 1255 1277 1279 1286 Military Armored Vehicle Tank and Tank Component Manufacturing (NAICS 336992) NA U U U U U U U U U U U U U All Other Transportation Equipment Manufacturing (NAICS 336999) 1203 U U U U U U U U U U U U U

Table 3-11b Producer Price Indices for Transportation Equipment NAICS Basis (Base date = 100)

KEY NA = not applicable NAICS = North American Industry Classification System P = preliminary R = revised U = data are unavailable

Bureau of Labor Statistics data are reported monthly from January to December The monthly indices however are available for fewer than 12 months for some years In both cases a simple average of the available monthly indices is reported for each year Data are not seasonally adjusted

US Department of Labor Bureau of Labor Statistics Producer Price Index Industry Data available at wwwblsgovdatasahtm as of February 2009

NOTES

SOURCE

(R) 1960 (R) 1965 (R) 1970 (R) 1975 (R) 1980 (R) 1985 (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Total expenditures 331725 443779 648465 1034394 1757133 2720305 3839937 3986066 4235265 4477887 4743286 4975787 5256832 5547400 5879483 6282474 6739378 7055038 7350721 7703630 8195862 8707820 9224507 9734187Transportation 42843 59375 81462 132364 238939 377667 471680 447265 483158 520812 567305 594576 641805 685203 717973 785045 853428 872366 882220 921716 976481 1049863 1093370 1138730expenditures 129 134 126 128 136 139 123 112 114 116 120 119 122 124 122 125 127 124 120 120 119 121 119 117Food and tobacco 89200 108802 154566 238278 376837 498389 677767 699912 717333 740551 767914 790057 820099 850049 888719 944768 1003707 1051956 1091058 1134005 1200612 1273517 1351641 1431718Clothing accessories and jewelry 32742 41384 57640 85619 132272 188265 261481 263532 280903 293369 306289 314492 327199 337431 356260 379584 396953 397137 406988 418784 441470 464115 491122 511349Personal care 5568 8103 11512 16067 25482 38762 56948 58494 61968 64437 68098 72781 77005 82869 86178 89451 93372 94524 96731 100404 106683 111909 115680 121793Housing 48151 65426 94075 147710 256171 412710 597939 631114 658466 683886 726142 764386 800092 842613 894612 948412 1006456 1073711 1123113 1161807 1226784 1298688 1381341 1465948Household operation 46708 62056 84846 135671 233326 343603 433288 444277 466032 497475 529581 553478 586609 616249 641849 675208 719278 740318 747402 781120 822363 878064 923409 968244Medical care 22209 34710 61293 109892 209618 376388 635133 692866 761108 808997 853318 904963 950741 1002794 1069376 1130846 1218341 1327310 1441209 1556533 1670169 1782147 1899848 2016265Personal business 14118 20101 31785 54909 95229 177525 250859 279658 306656 329982 336123 349561 376036 412925 446055 491581 539098 536516 546991 559661 610938 651475 691909 744252Recreation 18492 26856 43104 70541 117481 189717 290166 301980 321319 351014 383372 418151 448367 474475 505798 546067 585712 604024 629877 659897 707805 746928 791120 829646Education and research 4376 7006 12695 20610 33481 53880 83700 89269 96036 101480 107281 114346 122650 129682 140028 150488 163771 178077 190180 203095 212789 225877 239639 256901Religious and welfare activities 5198 7102 10973 18287 34757 55657 88651 92918 102283 106467 115250 120356 130464 134234 145962 154478 172284 186470 200090 207142 218955 225111 241333 253571Foreign travel and other net 2121 2858 4514 4445 3540 7742 -7673 -15219 -19998 -20582 -17386 -21361 -24233 -21125 -13327 -13453 -13022 -7373 -5137 -536 811 127 4097 -4231Disposable Personal Income (DPI) 365400 498100 735700 1187400 2009000 3109300 4285800 4464300 4751400 4911900 5151800 5408200 5688500 5988800 6395900 6695000 7194000 7486800 7830100 8162500 8680900 9092000 9629100 10177000Transportation as a percent of DPI 117 119 111 111 119 121 110 100 102 106 110 110 113 114 112 117 119 117 113 113 112 115 114 112

DPI US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables table 21 Internet site httpwwwbeagovbeadnnipawebindexasp as of May 13 2008 All except DPI Ibid National Income and Product Accounts Tables table 235u Internet site httpwwwbeagovnationalnipawebnipa_underlyingSelectTableasp as of June 9 2008

Table 3-12 Personal Expenditures by Category (Current $ millions)

KEY R = revised

SOURCES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007TOTAL transportation 42800 59400 81500 132400 238900 377700 471700 447300 483200 520800 567300 594600 641800 685200 718000 785000 853400 872400 882200 921700 976500 (R) 1051000 (R) 1089000 1138000User-operated transportation total 39500 55300 74500 121100 218800 349800 434700 410800 445900 481100 525400 550500 594800 634600 664400 729300 793800 818300 830900 866000 917500 (R) 989600 (R) 1024600 1072000

New cars and net purchases of used cars 16600 25200 26700 36700 57200 110700 119000 103700 112400 120400 133200 132600 136000 139400 147300 158400 164300 162900 162100 152000 152000 (R) 160300 (R) 164400 158500New and used trucks and RVs 600 1300 2700 7700 11800 41000 63900 60300 70100 80800 91200 96200 108600 123800 144900 165400 173200 195900 216900 227600 230500 (R) 225100 (R) 209000 219100Tires tubes accessories and parts 2500 3500 6100 10300 17900 24300 29900 29500 30500 32800 36000 37800 40300 41900 43900 47000 49000 49100 50300 52000 54400 (R) 57700 (R) 60600 62800Repair and rental a 5500 7600 12300 19800 34000 60500 84900 81900 90300 99500 112500 125500 138700 152900 161100 172600 183500 189100 186000 186800 189500 (R) 198600 (R) 212700 224200Gasoline and oil 12000 14800 21900 39700 86700 97200 111200 108500 112400 114100 116200 120200 130400 134400 122400 137900 175700 171600 164500 192700 231400 (R) 283600 (R) 313800 340600Tolls 300 500 700 800 1100 1500 2300 2500 2800 3100 3400 3700 4000 4400 4400 4800 5100 5100 5300 5500 6000 6500 (R) 7000 7400Insurance premiums less claims paidb 2000 2600 4100 5900 10000 14700 23500 24400 27300 30400 32800 34500 36700 37800 40400 43200 43000 44600 45800 49200 53700 57800 (R) 57200 59400

Purchased intercity transportation total 1300 2000 4000 7300 15400 21000 28600 27700 28200 30300 32100 33900 36200 39500 41800 43900 47400 41600 39000 42700 45200 (R) 46800 (R) 48700 49700Railroad 300 300 200 300 300 400 600 600 500 500 400 400 400 400 400 500 500 600 600 600 600 600 600 700Intercity bus 300 400 500 700 1400 1300 1300 1600 1600 1700 1700 1800 1900 2200 2200 2200 2400 2400 2400 2300 2300 2200 2200 2000Airline 700 1300 3100 5900 12800 17600 22700 21400 21300 22900 24000 25300 26900 29800 31800 33300 36700 31400 28300 31200 33300 34400 (R) 35900 36700Otherc 0 100 200 400 900 1700 4000 4200 4800 5300 5900 6400 7000 7000 7300 7800 7800 7300 7800 8600 9100 (R) 9700 (R) 9900 10300

Purchased local transportation total 2000 2100 3000 4000 4800 6800 8400 8800 9000 9400 9900 10100 10900 11100 11800 11900 12200 12500 12300 13000 13800 14600 (R) 15700 16400Mass transit system 1400 1400 1800 2100 2900 4200 5800 6100 6500 6700 7100 7100 7700 7800 8300 8600 9100 9200 9000 9500 10200 10700 (R) 11400 11900Taxi 600 600 1200 2000 1900 2600 2600 2600 2600 2700 2800 3000 3200 3300 3500 3300 3100 3200 3300 3500 3600 3900 (R) 4300 4500

Numbers may not add to totals due to rounding

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Tables table 255 available at httpwwwbeagovnationalindexhtm as of March 2009

a Also includes greasing washing parking storage and leasing

NOTE

SOURCE

Table 3-13 Personal Consumption Expenditures on Transportation by Subcategory (Current $ millions)

b Consists of premiums plus premium supplements less normal losses and dividends paid to policyholders for motor vehicles insurance c Consists of baggage charges coastal and inland waterway fares travel agents fees airports bus fares and limousine services

KEY R = revised RVs = recreational vehicles

1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Average total cost per mile (current cent) 144 212 232 330 373 388 387 394 412 426 448 461 470 491 510 502 517 562 522 522 541Gasb 48 59 56 54 66 59 59 56 58 56 66 62 56 69 79 59 72 65 95 89 117Gas as a percent of total cost b 334 279 240 164 177 152 152 142 141 131 147 134 119 141 155 117 139 116 182 171 216Maintenance c 10 11 12 21 22 22 24 25 26 28 28 31 33 36 39 41 41 54 49 49 46Tires 07 06 07 09 09 09 09 10 12 12 14 14 17 17 18 18 18 07 07 07 07Average total cost per 15000 miles (current $) 2154 3176 3484 4954 5601 5824 5804 5916 6185 6389 6723 6908 7050 7363 7654 7533 7754 8431 7834 7823 8121Variable cost 968 1143 1113 1260 1455 1350 1380 1365 1440 1440 1620 1605 1590 1829 2040 1770 1965 1890 2265 2175 2545Fixed cost d 1186 2033 2371 3694 4146 4474 4424 4551 4745 4949 5103 5303 5460 5534 5614 5764 5789 6541 5569 5648 5576

Table 3-14 Average Cost of Owning and Operating an Automobilea (Assuming 15000 Vehicle-Miles per Year)

American Automobile Association Your Driving Costs (Heathrow FL Annual issues) as of June 2008

a All figures reflect the average cost of operating a vehicle 15000 miles per year in stop and go conditionsb Prior to 2004 data include oil costc Beginning in 2004 data include oil costd Fixed costs (ownership costs) include insurance license registration taxes depreciation and finance charges

NOTES Methodological changes in 1985 and 2004 make it difficult to compare costs before and after those yearsIn 2004 the American Automobile Association adopted a new method for calculating vehicle operating costs that the Association believes more closely represents the real-world personal use of a vehicle over a five-year and 75000-mile ownership period Prior to 1985 the cost figures are for a mid-sized current model American car equipped with a variety of standard and optional accessories After 1985 the cost figures represent a composite of three current model American cars The 2004 fuel costs are based on average late-2003 US prices from AAAs Fuel Gauge Report wwwfuelgaugereportcom Insurance figures are based on a full-coverage policy for a married 47-year-old male with a good driving record living in a small city and commuting three to ten miles daily to work The policy includes $100000$300000 level coverage with a $500 deductible for collision coverage and a $100 deductible for comprehensive coverage Depreciation costs are based on the difference between new-vehicle purchase price and its estimated trade-in-value at the end of five years American Automobile Association analysis covers vehicles equipped with standard and optional accessories including automatic transmission air conditioning power steering power disc brakes AMFM stereo driver- and passenger-side air bags anti-lock brakes cruise control tilt steering wheel tinted glass emissions equipment and rear-window defogger

SOURCE

Table 3-15a Average Passenger Fares (Current $)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carrier domestic scheduled service 3301 3413 4065 5364 8460 9253 10786 10678 10360 10980 10321 10666 11037 11410 11434 11498 12127 11160 10194 10375 10359 10627 11325Class I bus intercitya 246 273 381 546 1057 1198 2022 2186 2115 2132 1977 2010 2285 2083 2314 2616 2946 3027 3011 U U U UTransit all modesb (unlinked) 014 016 022 027 030 053 067 070 072 077 085 088 093 090 091 090 093 092 (R) 090 097 102 (R) 105 112Commuter rail 064 071 084 104 141 285 290 301 309 309 319 313 325 330 329 330 (R) 333 343 (R) 350 379 390 408 422Intercity rail Amtrakc 422 392 319 1296 1772 2615 3959 4119 4078 4011 3910 3992 4331 4526 4475 4685 4961 5158 5515 5068 5071 5117 5645KEY R = revised U = data are not available

a Regular route intercity serviceb Prior to 1984 excludes commuter railroad automated guideway urban ferryboat demand responsive and most rural and smaller systemsc Amtrak began operations in 1971

SOURCESAir carrier domestic scheduled service1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC February 1970) part III table 2 (enplanements) part IV table 2 (passenger revenue)1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC March 1974) part III table 2 (enplanements) part IV table 2 (passenger revenue)

1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual December issues) p 1 line 3 and Air Carrier Traffic Statistics ( Washington DC Annual December issues) p 2 line 16 (passenger revenue revenue passenger enplanements) 1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) and Air Carrier Traffic Statistics (Washington DC Annual December issues) (passenger revenue revenue passenger enplanements) Class I bus intercity1960-93 Interstate Commerce Commission Transport Statistics in the United States Motor Carriers (Washington DC Annual issues) part 21994-2002 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class I Motor Carriers of Passengers (Washington DC Annual issues) (operating revenue revenue passengers)Transit and commuter rail1960-2006 American Public Transportation Association Public Transportation Fact Book(Washington DC Annual issues)table 49 and similar tables in earlier editions (passenger fares passenger trips)Intercity rail Amtrak1960-70 Association of American Railroads Railroad Facts (Washington DC Annual issues)1975-80 Amtrak State and Local Affairs Department and Public Affairs Department personal communication1985 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (transportation revenues Amtrak system passenger trips)1990-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (ticket revenue per passenger mile x average trip length of passengers)2003-06 Association of American Railroads Railroad Facts (Washington DC Annual issues)

Table 3-15b Average Passenger Fares (Chained 2000 $)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carrier domestic scheduled service 13896 13827 13865 13545 12318 11242 11794 11918 11414 11374 11260 11473 12453 12138 11986 12039 12127 12107 (R) 12302 12232 (R) 12441 (R) 12521 12620Class I bus intercitya 1771 1857 2046 1870 2263 1636 2331 2408 2293 2387 2216 2322 2591 2351 2479 2736 2946 2931 2826 U U U UTransit all modesb (unlinked) 102 101 092 097 075 084 086 087 085 088 096 097 094 089 091 091 093 089 085 086 085 008 UCommuter rail 460 502 504 484 397 511 381 385 389 383 392 365 356 362 352 340 332 328 321 352 396 412 UIntercity rail Amtrakc 3030 2773 1915 6029 4986 4685 5199 5265 5139 4978 4804 4656 4739 4959 4787 4832 4961 4918 5072 (R) 4710 (R) 5151 5157 5236KEY R = revised U = data are not available

a Regular route intercity serviceb Prior to 1984 excludes commuter railroad automated guideway urban ferryboat demand responsive and most rural and smaller systemsc Amtrak began operations in 1971

SOURCESAir carrier domestic scheduled service1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC February 1970) part III table 2 (enplanements) part IV table 2 (passenger revenue)1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC March 1974) part III table 2 (enplanements) part IV table 2 (passenger revenue)1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual December issues) p 1 line 3 and Air Carrier Traffic Statistics (Washington DC Annual December issues) p 2 line 16 (passenger revenue revenue passenger enplanements) 1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) and Air Carrier Traffic Statistics (Washington DC Annual December issues) (passenger revenue revenue passenger enplanements) Class I bus intercity1960-93 Interstate Commerce Commission Transport Statistics in the United States Motor Carriers (Washington DC Annual issues) part 21994-2002 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class I Motor Carriers of Passengers (Washington DC Annual issues) (operating revenue revenue passengers)Transit and commuter rail1960-2005 American Public Transportation Association Public Transportation Fact Book 2006 (Washington DC 2006) table 7 and table 51 and similar tables in earlier editions (passenger fares passenger trips)Intercity rail Amtrak1960-70 Association of American Railroads Railroad Facts (Washington DC Annual issues)1975-80 Amtrak State and Local Affairs Department and Public Affairs Department personal communication1985 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (transportation revenues Amtrak system passenger trips)1990-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (ticket revenue per passenger mile x average trip length of passengers)2003-06 Association of American Railroads Railroad Facts (Washington DC Annual issues)

Section CTransportation Revenues

Employment and Productivity

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air carrier domestic scheduled service 61 61 60 77 115 122 134 132 129 137 131 135 138 140 141 140 146 132 120 123 120 (R) 123 130Index (1990 = 100) 46 46 45 57 86 91 100 99 96 102 98 101 103 104 105 104 109 99 90 92 90 (R) 92 97Class I bus intercitya 27 29 36 49 73 99 116 120 118 120 116 122 123 126 128 128 128 129 U U U U UIndex (1990 = 100) 23 25 31 42 63 86 100 104 102 104 101 106 106 109 110 110 111 112 U U U U UCommuter rail 29 33 38 46 67 121 134 130 133 143 135 131 137 147 144 149 146 151 152 162 166 182 UIndex (1990 = 100) 22 25 28 34 50 90 100 97 99 107 101 97 102 109 107 111 109 112 113 121 124 136 UIntercity Amtrakb 30 31 40 57 82 113 141 141 141 140 137 146 166 173 175 184 232 249 268 250 260 272 297Index (1990 = 100) 21 22 28 40 58 80 100 100 100 99 97 103 118 123 124 130 165 176 190 177 185 194 217Consumer Price Index (1982-84 = 100) 30 32 39 54 82 108 131 136 140 145 148 152 157 161 c 163 d 167 172 177 180 184 189 195 202

Commuter rail

1960-2006 Council of Economic Advisors Economic Report of the President 2006 (Washington DC 2006) table B-60

1960-70 Association of American Railroads Railroad Facts (Washington DC Annual issues)1975-80 Eno Transportation Foundation Inc Transportation in America 1994 (Lansdowne VA 1994) p 501985-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues) (transportation revenues passenger-miles)

Consumer Price Index

2003-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in previous editions (passenger revenuerevenue passenger miles)

Table 3-16 Average Passenger Revenue per Passenger-Mile (Current cent)

Intercity class I bus 1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 48

Intercity Amtrak

1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC March 1974) part III table 2 (passenger-miles) part IV table 2 (passenger revenues)1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual December issues) p 2 line 3 Ibid Air Carrier Traffic Statistics (Washington DC Annual December issues) p 4 line 91985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) p 4 line 9 and similar pages in previous editions and Air Carrier Traffic Statistics (Washington DC Annual December issues) p 4 and similar pages in previous editions (total passenger operating revenues total revenue passenger-miles)

1960-1985 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 481990-2005 American Public Transportation Association Public Transportation Fact Book 2006 (Washington DC 2006) tables 10 and 51 (passenger fares passenger miles)

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC February 1970) part III table 2 (passenger-miles) part IV table 2 (passenger revenues)

KEY R = revised U = data are not available

a Regular route intercity serviceb Amtrak began operations in 1971c Beginning in 1998 data reflect changes in series composition and renamingd Beginning in 1999 data reflect changes in the formula used for calculating the basic components of the Consumer Price Index

SOURCESAir carrier domestic scheduled service

Table 3-17 Average Freight Revenue Per Ton-mile (Current cent)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Air carrier domestic scheduled service 228 205 219 282 463 488 646 648 641 714 722 765 815 798 827 809 780 804 608 532 594 762 822Index (1990 = 100) 35 32 34 44 72 75 100 100 99 110 112 118 126 123 128 125 121 124 94 82 92 118 127Trucka 63 65 85 116 180 229 244 248 231 250 250 251 260 261 262 262 270 266 U U U U UIndex (1990 = 100) 26 26 35 48 74 94 100 102 95 102 103 103 107 107 107 107 111 109 U U U U UClass I rail 140 127 143 204 287 304 266 259 258 252 249 240 235 240 234 228 226 224 226 228 235 262 284Index (1990 = 100) 53 48 54 77 108 114 100 97 97 95 94 90 88 90 88 86 85 84 85 86 88 99 107Barge N 035 030 052 077 080 076 078 076 076 074 073 073 074 074 074 073 072 U U U U UIndex (1990 = 100) N 46 40 68 102 106 100 103 100 100 97 97 96 97 98 98 97 95 U U U U UOil pipeline 032 028 027 037 c133 157 146 140 145 143 147 151 140 140 138 146 145 147 U U U U UIndex (1990 = 100) 22 19 19 25 91 107 100 96 100 98 101 104 96 96 95 100 100 101 U U U U UProducer Price Index (1982 = 100)b 33 34 39 58 88 105 119 122 123 125 126 128 131 132 131 133 138 141 139 143 149 156 160KEY U = data are not available

a General freight common carriers most of which are LTL (less-than-truckload) carriersb Total finished goodsc Reflects entrance of Alaska pipeline moving crude petroleum to US refineries between 1975 and 1980

SOURCESAir carrier domestic scheduled service1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III tables 2 and 131965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III tables 2 and 131975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) pp 4 and 14 (December 1976) and pp 2 and 3 (December 1981)1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues) (freight operating revenues)Ibid Air Carrier Traffic Statistics (Washington DC Annual December issues) (freight revenue ton-miles)Truck barge and oil pipeline1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 47Class I rail1960-2005 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 30 Producer Price Index

1960-2006 Council of Economic Advisors Economic Report of the President 2007 (Washington DC 2007) table B-65

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air carrier domestic all services 2178 3691 7180 12020 26440 37629 57961 56165 57654 63233 65949 70885 76891 82250 86494 90931 98896 86511 79220 88830 99229 (R) 111730 119967Truckinga N N N N N N 127314 126772 135437 142547 155713 161806 174743 183153 197314 207751 223197 221355 222383 228311 248191 272911 UClass I bus intercity 463 607 722 955 1397 1233 943 981 938 928 870 917 912 996 999 1014 1088 1076 1070 U U U UTransitb 1407 1444 1707 3451 6510 12195 16053 16533 16915 17276 17968 18241 19151 19515 21062 22220 24243 25288 26632 28021 29718 U UClass I rail 9514 10208 11992 16402 28258 27586 28370 27845 28349 28825 30809 32279 32693 33118 33151 33521 34102 34576 35327 36639 40517 46118 52152Intercity Amtrakc N N N 253 454 832 1308 1347 1320 1400 1409 1490 1550 1669 2244 2011 2111 2109 2228 2074 1865 1886 2042Water transportation (domestic)d 1722 1822 2070 3293 7219 7704 7940 7964 7935 8028 7745 7712 7283 6940 6824 6795 6930 6235 U U U U UOil pipelinee 895 1051 1396 2220 7548 8910 8506 8095 8548 8470 8676 9077 8637 8632 8579 9067 8958 9066 U U U U UGas pipeline (investor-owned)f 8700 11500 16400 30551 85918 103945 66027 63922 66405 69965 63430 58435 72025 U 57548 59142 72075 79276 68594 75567 80331 102062 U

Transmission companies 3190 4088 5928 11898 41604 45738 21756 19818 20193 19873 13841 12092 12050 10339 9450 9555 10404 10257 10096 10892 11313 16547 UDistribution companies N N N 5938 14013 21510 18750 17812 19854 20307 20911 19421 30407 30864 28182 28135 34696 39179 31210 38199 40410 48957 UIntegrated companies N N N 6962 17300 17396 10117 11047 10279 12506 11827 10899 11941 12125 2974 3086 3755 4184 3150 3753 2424 2803 UCombination companies N N N 5753 13001 19301 15404 15245 16079 17279 16851 16023 17627 U 16942 18366 23220 25656 24138 22723 26184 33755 U

Transit

d Includes foreign traffic moving on domestic inland waterways

1960-93 Interstate Commerce Commission Annual Report of the Interstate Commerce Commission (Washington DC Annual issues)

1994-2001 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class 1 Motor Carriers of Passengers (Washington DC Annual issues)

e Oil pipeline revenues are much smaller than gas pipeline revenues because oil pipeline companies are common carriers that include transportation costs only

Trucking

1975-80 Ibid Air Carrier Financial Statistics (Washington DC Annual issues) p 11985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Financial Statistics (Washington DC Annual December issues)

Intercity Class I bus1998-2005 Ibid Service Annual Survey 2004 (Washington DC February 2006) table 211990-97 US Department of Commerce Bureau of the Census Transportation Annual Survey 1998 (Washington DC January 2000) table 1

1960-2004 American Public Transportation Association Public Transportation Fact Book 2007 (Washington DC 2007) table 50 and similar tables in earlier editions

f Data are not directly comparable from year to year due to acquisition and mergers Prior to 1975 pipeline companies are not categorized by distribution integrated or combination Total numbers for these companies are 1960 = 5505 1965 = 7437 1970 = 10542 In 1997 the American Gas Association revised the database that identifies companies by type (distribution integrated or transmission) This reclassification of companies has resulted in numerous additions to the distribution company sample in particular from the integrated company sample

Air carrier domestic all services1960-70 Civil Aeronautics Board Handbook of Airline Statistics 1973 (Washington DC March 1974)

SOURCES

KEY N = data do not exist R = revised U = data are not available

a Data from 1990 through 1997 include local trucking (4212) trucking except local (4213) local trucking without storage (4214) and courier services except air (4215) based on SIC (Standard Industrial Classification) For 1998 and later data includes truck transportation (484) and couriers and messengers (492) based on NAICS (North American Industry Classification System) Therefore data from 1998 onward are not directly comparable with data prior to 1998b Excludes commuter rail automated guideway urban boat demand responsive and most rural and smaller systems prior to 1984 Includes operating assistancec Amtrak began operations in 1971

Gas pipeline

2004-06 Ibid Consolidated Financial Statements Internet site httpwwwamtrakcompdf07financialpdf as of Jan 4 2008

1960-2006 Association of American Railroads Railroad Facts (Washington DC 2007) p 12 and similar tables in earlier editions Class I rail

2002 Ibid Consolidated Financial Statements Internet site httpwwwamtrakcompdf03financialpdf as of July 21 2004

IntercityAmtrak

Table 3-18 Total Operating Revenues (Current $ millions)

Oil pipeline

2002 Ibid personal communication Oct 6 2004

1960-2005 American Gas Association Gas Facts (Washington DC Annual issues) tables 11-1 11-2 11-3 and 11-4 and similar tables in earlier editions

1960-2001 Eno Transportation Foundation Inc Transportation in America (Washington DC 2002) p 38-40

1975-80 Amtrak State and Local Affairs Department and Public Affairs Department personal communication1985-2001 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

2003 Ibid Consolidated Financial Statements Internet site httpwwwamtrakcompdf04financialpdf as of Feb 2 2006

1960-2001 Eno Transportation Foundation Inc Transportation in America (Washington DC 2002) p 38-40Water transportation

SIC 1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002

TOTAL US labor forceb 54189 60763 70880 76945 90406 97387 109403 108249 108601 110713 114163 117191 119608 122690 125865 128916 131720 131922 130791

Transportation-related labor force total 5160 5737 6128 7834 8488 9211 10093 9836 9713 9858 10189 10501 10215 11002 11262 11523 11664 11585 11343

For-hire transportation industry total 2395 2683 2855 2796 3128 3172 3675 3661 3659 3759 3920 4057 4166 4264 4410 4545 4645 4622 4438

45 Air 191 229 352 363 453 522 968 962 964 988 1023 1068 1107 1134 1181 1227 1280 1266 1161

42 Trucking and warehousing 856 964 1083 1108 1280 1361 1395 1378 1385 1444 1526 1587 1637 1677 1744 1810 1847 1848 1826

41 Local and interurban passenger transit 284 269 281 270 265 277 338 354 361 379 404 419 437 452 469 478 476 479 472

413 Intercity and rural bus 41 42 43 40 38 35 26 24 23 22 24 24 24 22 24 24 25 25 23

411 Local and suburban U U U 69 79 92 141 155 162 176 194 203 218 229 236 238 233 236 235

415 School busc N N N 65 80 91 111 115 118 122 126 131 132 137 141 146 147 148 149

412 Taxi 121 110 106 85 53 38 32 32 30 30 31 31 31 31 31 32 32 32 31

Other local and interurband 123 118 131 11 16 22 28 28 28 29 30 31 33 34 36 38 40 38 35

40 Railroad 885 735 634 548 532 359 279 262 254 248 241 238 231 227 231 235 237 234 229

44 Water N 228 212 194 211 185 177 184 173 168 172 175 174 179 181 186 194 192 190

46 Liquid pipeline 23 20 18 18 21 19 19 19 19 18 17 15 15 14 14 13 14 15 15

492 Gas production and distribution 155 154 161 162 168 175 165 166 163 161 159 154 147 141 137 134 128 126 121

47 Transportation servicese N 85 115 134 198 275 336 336 338 352 378 401 418 441 454 463 470 463 423

Equipment manufacturing (SIC 37 and SIC 301)

total 1773 1955 1949 1824 1995 2054 2073 1971 1911 1838 1840 1870 1864 1923 1973 1967 1931 1835 1739

372 Aircraft and parts 605 601 644 499 633 616 712 669 612 542 482 451 458 501 525 496 464 461 410

371 Motor vehicles and equipment 724 843 799 792 789 883 812 789 813 837 909 971 967 986 995 1018 1017 947 912

374 Railroad equipment 43 56 51 57 71 33 33 30 29 31 35 38 36 34 37 38 36 30 27

373 Ship and boat building and repairing 141 160 172 194 221 187 188 177 170 159 158 160 159 158 167 167 168 161 158

301 Tires and inner tubes 105 102 116 124 115 94 84 81 81 82 79 80 80 78 80 79 79 75 72

Otherf 155 193 167 157 167 241 244 225 207 188 177 172 165 167 168 168 168 161 161

Related industries total 461 522 613 2498 2694 3336 3672 3532 3508 3612 3782 3930 4086 4186 4251 4368 4442 4473 4479

553 Automotive and home supply stores U U U 212 261 304 337 332 332 340 357 369 380 392 397 404 408 410 406

75 Automotive repair services and parking U U U 439 571 730 914 882 881 925 968 1020 1080 1120 1145 1196 1234 1257 1263

554 Gasoline service stations 461 522 613 622 561 588 647 626 616 617 634 649 669 676 680 660 652 648 641

161 Highway and street construction U U U U U 264 239 218 215 222 226 228 236 243 257 280 281 289 286

501 Motor vehicles parts and supplies U U U 382 434 454 456 448 446 451 471 492 503 513 517 524 517 502 498

551 New and used car dealers U U U 731 745 856 924 879 875 908 963 996 1031 1046 1047 1080 1112 1121 1130

Other automotive retailg N N N 112 122 140 155 146 143 148 163 176 187 197 208 223 239 246 256

Government employment total h 532 577 711 716 671 649 673 672 635 650 647 644 99 629 629 643 646 654 686

US DOTi N N 104 112 112 100 104 108 110 109 103 101 99 98 99 100 100 102 141

State and local highwayj 532 577 607 604 559 549 569 564 525 541 544 543 (k) N 531 530 543 546 552 545

Table 3-19a Employment in For-Hire Transportation and Selected Transportation-Related Industriesa (Standard Industrial Classification [SIC] basis) (Thousands)

f The difference between the total of SIC 37 and the sum of 371 372 373 and 374g The difference between the total of SIC 55 and the sum of 551 553 and 554h Not all government agencies are included (eg the National Transportation Safety Board)

a Annual averagesb Excludes farm employmentc Does not include drivers employed by school districts

KEY N = data do not exist SIC = Standard Industrial Classification U = data are not available

d Difference between the total of SIC 41 and the sum of 411 412 413 and 415e Transportation services are defined as services incidental to transportation such as forwarding and packing motor vehicle inspectionsand freight broker tour operator and travel agency services etc

i US Department of Transportation was created in 1966 Data are for fiscal year and include permanent civilians as well as temporaryemployees and military j Full-time equivalent employment Data prior to 1986 are not directly comparable to data from later years due to a change in the way full-time equivalent was calculated Full-time equivalent was not calculated for 1985 k Due to a change in the reference period from October to March the October 1996 Annual Survey of Government Employment and Payroll was not conducted

NOTE

Government employment

All data except as noted1960-85 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-1994 (Washington DC September 1994) 1990-2002 Ibid Internet site wwwblsgov database query for individual series as of June 11 2003

1992-2003 Ibid Internet site httpwwwcensusgovpubgovswwwapesstlhtml as of July 24 2002 and July 6 2004

1990-2003 Ibid DOT Workforce Demographics (Washington DC Annual issues)State and local highway1960-91 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1993 (Washington DC 1993) table 500 and similar tables in earlier editions

1980-85 US Department of Transportation Office of the Secretary of Transportation DOT Employment Facts A Report to Management (Washington DC Annual issues)

USDOT

1970-75 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1976 ( Washington DC 1976) table 409 and US Department of Transportation US Coast Guard G-WPM Office of Military Personnel personal communication

The employment totals in tables 3-19 and 3-20 differ Table 3-19 shows employment in transportation and selected transportation-relatedindustries Table 3-20 shows employment by transportation occupation Some employees of transportation industries have nontransportation jobs (eg a bookkeeper in a trucking firm) and some people with transportation occupations do not work in thetransportation industry (eg a truck driver for a construction firm) Beginning in January 1999 data are not strictly comparable with data for 1998 and earlier years because of revisions in the population controls used in the household survey

SOURCES

Table 3-19b Employment in For-Hire Transportation and Selected Transportation-Related Industriesa (North American Industry Classification System (NAICS] basis) (Thousands) NAICS Code 1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL US labor forceb 54296 60874 71006 77069 90528 97511 109487 108374 108726 110844 114291 117298 119708 122776 125930 128993 131785 131826 130341 129999 131435 133703 136086 137623Transportation related labor force 2115 2059 2228 2925 2879 3346 12087 11778 11618 11739 12096 12450 12192 12998 13269 13547 13638 13473 13117 12934 12971 (R) 13108 13205 13197

48-49 Transportation and warehousing U U U 2620 2961 3012 3476 3463 3462 3554 3701 3838 3935 4027 4168 4300 4410 4372 4224 4185 4249 (R) 4361 4470 4536481 Air transportation U U U U U U 529 525 520 517 511 511 526 542 563 586 614 615 564 528 515 501 487 493

4811 Scheduled air transportation U U U U U U 503 498 491 486 477 473 486 501 520 543 570 570 520 485 472 456 (R) 442 4474812 Nonscheduled air transportation U U U U U U 27 27 29 31 34 38 40 41 43 44 45 45 44 43 43 44 45 46482 Rail transportation 862 716 617 534 518 350 272 256 248 242 235 233 225 221 225 229 232 227 218 218 226 228 (R) 228 234483 Water transportation U U U U U U 57 57 57 53 52 51 51 51 51 52 56 54 53 55 56 61 (R) 63 64

4831 Sea coastal and Great Lakes water transportation U U U U U U 35 36 35 33 33 32 32 32 32 33 36 34 32 34 35 37 39 404832 Inland water transportation U U U U U U U U U U U U U U U U U U U U U U U U484 Truck transportation U U U U U U 1122 1105 1107 1155 1206 1249 1282 1308 1354 1392 1406 1387 1339 1326 1352 1398 (R) 1436 1441

4841 General freight trucking U U U U U U 807 795 797 831 867 901 924 942 976 1002 1013 992 952 935 950 981 (R) 1005 10064842 Specialized freight trucking U U U U U U 315 310 311 324 339 348 359 367 379 390 393 395 388 390 402 417 (R) 431 435485 Transit and ground passenger transportation U U U U U U 274 284 288 (R) 300 317 328 339 350 363 371 372 375 381 382 385 389 (R) 399 410

4851 Urban transit systems U U U U U U 21 23 25 27 29 31 33 35 36 36 35 36 38 38 39 40 (R) 40 404852 Interurban and rural bus transportation 38 39 41 38 36 33 25 23 22 21 22 23 23 21 23 23 23 24 23 22 21 20 20 194853 Taxi and limousine service U U U U U U 57 59 58 61 64 66 68 70 72 73 72 71 68 67 66 66 (R) 69 724854 School and employee bus transportation U U U 66 81 93 114 118 121 125 130 136 137 142 146 151 152 153 161 165 167 169 (R) 172 1774855 Charter bus industry U U U 11 15 21 26 27 27 28 28 29 31 32 34 36 38 37 36 33 32 31 (R) 31 324859 Other transit and ground passenger transportation U U U U U U 31 34 36 39 43 45 48 51 52 53 51 54 56 58 59 63 (R) 67 70486 Pipeline transportation U U U U U U 60 61 60 59 57 54 51 50 48 47 46 45 42 40 38 38 (R) 39 40

4861 Pipeline transportation of crude oil U U U U U U U U U U U U U U U U U U U U U U U U4862 Pipeline transportation of natural gas U U U U U U U U U U U U U U U U U U U U U U U U4869 Other pipeline transportation U U U U U U U U U U U U U U U U U U U U U U U U487 Scenic and sightseeing transportation U U U U U U 16 17 18 19 21 22 23 25 25 26 28 29 26 27 27 (R) 29 (R) 28 29

4871 Scenic and sightseeing transportation land U U U U U U U U U U U U U U U U U U U U U U U U4872 Scenic and sightseeing transportation water U U U U U U U U U U U U U U U U U U U U U U U U4879 Scenic and sightseeing transportation other U U U U U U U U U U U U U U U U U U U U U U U U488 Support activities for transportation U U U U U U 364 377 370 382 405 430 446 473 497 518 537 539 525 520 535 (R) 552 (R) 571 583

4881 Support activities for air transportation U U U U U U 96 96 96 99 101 104 109 115 124 133 141 140 139 136 142 148 (R) 157 1644883 Support activities for water transportation U U U U U U 91 96 89 86 89 92 90 92 94 96 97 95 95 94 92 94 (R) 99 1004884 Support activities for road transportation U U U U U U 35 36 38 41 45 49 53 57 60 63 66 69 70 72 76 79 (R) 81 834885 Freight transportation arrangement U U U U U U 111 115 114 120 130 143 149 161 166 172 178 179 168 167 171 177 (R) 180 1834889 Support activities for other transportation including rail U U U U U U 32 33 34 37 40 43 45 48 53 54 56 57 52 52 55 55 (R) 53 53491 Postal service 591 619 741 699 673 750 825 813 800 793 821 850 867 866 881 890 880 873 842 809 (R) 782 774 (R) 770 762492 Couriers and messengers U U U U U U 375 379 389 414 466 517 540 546 568 586 605 587 561 562 557 (R) 571 (R) 582 583

4921 Couriers and express delivery services U U U U U U 340 344 354 378 423 469 489 494 513 528 546 530 507 510 507 (R) 522 (R) 533 5334922 Local messengers and local delivery U U U U U U 35 35 35 36 43 48 51 52 55 58 59 57 54 51 50 50 (R) 50 49493 Warehousing and storage U U U U U U 407 403 406 413 431 444 452 462 474 494 514 514 517 528 558 (R) 595 (R) 638 659

Transportation related manufacturing324 Petroleum and coal products manufacturing U U U U U U 153 155 152 146 144 140 137 136 135 128 123 121 118 114 112 (R) 112 (R) 113 113

32621 Tire manufacturingc U U U U U U 90 86 87 87 85 87 86 84 87 87 87 82 76 72 70 67 (R) 60 5932622 Rubber and plastic hoses and belting manufacturing U U U 29 31 26 25 23 23 24 26 27 27 28 29 30 30 29 28 28 28 29 (R) 28 27

334511 Search detection navigation guidance aeronautical and nautical system and instrument manufacturing U U U U U 354 280 256 226 201 175 158 158 159 163 161 149 150 148 145 151 157 (R) 158 159

336 Transportation equipment manufacturing U U U U U U 2133 2028 1977 1914 1936 1977 1974 2026 (R) 2078 (R) 2089 (R) 2057 (R) 1939 (R) 1830 (R) 1775 (R) 1767 (R) 1772 (R) 1769 17113361 Motor vehicle manufacturing U U U U U U 271 258 260 264 282 295 285 287 284 291 291 279 265 265 256 248 (R) 237 2233362 Motor vehicle body and trailer manufacturing U U U U U U 130 120 126 136 151 160 155 158 170 184 183 159 152 153 165 171 (R) 179 1653363 Motor vehicle parts manufacturing U U U U U U 653 639 661 678 736 787 800 809 818 837 840 775 734 708 692 678 (R) 655 6093364 Aerospace product and parts manufacturing U U U U U U 841 784 711 624 552 514 514 555 579 547 517 511 470 442 442 455 (R) 474 4873365 Railroad rolling stock manufacturing U U U U U U 31 28 27 29 33 35 33 32 35 35 33 28 23 23 25 27 (R) 28 273366 Ship and boat building (R) 130 (R) 148 (R) 158 (R) 179 (R) 203 (R) 172 (R) 174 (R) 165 (R) 158 (R) 148 (R) 147 (R) 148 (R) 147 (R) 146 (R) 154 (R) 154 (R) 154 (R) 148 (R) 147 (R) 147 (R) 149 (R) 154 (R) 157 1613369 Other transportation equipment manufacturing U U U U U U 35 35 36 37 38 40 41 41 40 40 40 39 39 38 38 39 (R) 40 40

Other transportation related industries2373 Highway street and bridge construction U U U U U U 289 267 264 271 274 278 288 294 308 336 340 346 346 340 347 (R) 351 (R) 348 3454231 Motor vehicle and motor vehicle parts and supplies merchant

wholesalers U U U U U U 309 304 302 306 320 335 343 350 354 360 356 347 346 342 341 344 (R) 348 350

42386 Transportation equipment and supplies merchant wholesalersd

U U U U U U 35 34 33 31 31 32 33 35 37 40 39 36 34 32 32 (R) 33 (R) 33 344247 Petroleum and petroleum products merchant wholesalers U U U U U U 155 147 137 129 128 126 124 123 122 123 119 114 111 106 101 (R) 100 (R) 100 100

441 Motor vehicle parts dealers U U U U U U 1494 1435 1428 1475 1565 1627 1686 1723 1741 1797 1847 1855 1879 1883 1902 1919 (R) 1910 19134411 Automobile dealers U U U 769 783 904 983 938 935 970 1032 1072 1113 1135 1142 1180 1217 1225 1253 1254 1257 1261 1247 12454412 Other motor vehicle dealers U U U U U U 93 84 81 83 91 97 101 105 110 121 132 136 142 149 159 166 (R) 169 1704413 Automotive parts accessories and tire stores U U U U U U 418 413 413 422 443 459 471 484 489 496 499 493 485 480 487 491 (R) 494 497447 Gasoline stations U U U U U U 910 889 876 881 902 922 946 956 961 944 936 925 896 882 876 871 (R) 864 861

5321 Automotive equipment rental and leasing U U U U U 142 163 152 151 156 163 171 180 184 189 199 208 208 195 193 197 199 (R) 199 195532411 Commercial air rail water transportation equipment rental and

leasing

U U U U U U U U U U U U U U U U U U U U U U U U5615 Travel arrangement and reservation services U U U U U U 250 240 245 256 271 281 294 302 304 297 299 285 252 235 226 224 (R) 226 2276219 Other ambulatory health care services U U U U U U 99 107 114 125 135 143 154 164 171 173 173 180 187 195 200 (R) 206 (R) 217 2298111 Automotive repair and maintenance U U U U U U 659 636 636 670 701 738 781 811 828 864 888 904 900 894 891 (R) 886 (R) 887 888

81293 Parking lots and garages U U U U U U 68 69 68 70 71 75 78 82 85 89 93 96 96 100 102 (R) 103 (R) 108 11092612 Regulation and administration of transportation programs U U U U U U U U U U U U U U U U U U U U U U U U

Government employment totale 532 577 711 716 671 649 673 672 635 650 647 644 99 647 629 642 604 611 610 605 600 602 599 577US DOTf N N 104 112 112 100 104 108 110 109 103 101 99 98 99 100 58 60 65 59 57 56 54 54State and Local Highwaygh 532 577 607 604 559 549 569 564 525 541 544 543 N 548 530 543 546 552 545 546 543 546 (R) 545 523

KEY N = data do not exist R = revised U = data are not available

a Annual averagesb Excludes farm employmentc Includes tire manufacturing and tire retreadingd Does not include motor vehicle wholesalerse Not all government agencies are included (eg the National Transportation Safety Board)f The US Department of Transportation was created in 1966 Data are for fiscal year and include permanent civilians as well as temporary employees and military The United States Coast Guard (USCG) and the Transportation Security Administration (TSA) were transferred to the Department of Homeland Security in 2003g Full-time equivalent employment Data prior to 1986 are not directly comparable to data from later years due to a change in the way full-time equivalent was calculated Full-time equivalent was not calculated for 1985h Due to a change in the reference period from October to March the October 1996 Annual Survey of Government Employment and Payroll was not conducted

SOURCES

All data except as noted

US Department of Labor Bureau of Labor Statistics Data National Employment Hours and Earnings available at httpwwwblsgovdatasahtm as of November 2008

Government employmentUSDOT

1970-75 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1976 ( Washington DC 1976) table 409 and US Department of Transportation US Coast Guard G-WPM Office of Military Personnel personal communication

1980-85 US Department of Transportation Office of the Secretary of Transportation DOT Employment Facts A Report to Management (Washington DC Annual issues)

1990-2003 Ibid DOT Workforce Demographics (Washington DC Annual issues)2004-07 Ibid DOT Workforce Demographics Demographics by Year available at httpdothrostdotgovworkforceinfodemographicshtm as of November 2007

State and local highway

1960-91 US Department of Commerce Bureau of the Census Statistical Abstract of the United States 1993 (Washington DC 1993) table 500 and similar tables in earlier editions

1992-2007 Ibid available at httpwwwcensusgovpubgovswwwapesstlhtml as of November 2008

1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 200Total workers 16 years and over 107150 118793 117718 118492 120259 123060 124900 126708 129558 131463 133488 135208 1350Total workers in transportation occupatio 3681 4039 4101 4098 4250 4287 4308 4451 4534 4499 4643 4684 48

Transportation occupation as percent of total workers 16 years and over 34 34 35 35 35 35 34 35 35 34 35 35 36Motor vehicle operators total 3298 3618 3704 3726 3850 3879 3900 4024 4090 4069 4202 4222 43Supervisors 51 76 80 87 84 94 87 85 95 88 86 77Truck drivers 2412 2627 2684 2712 2804 2815 2860 3018 3075 3012 3116 3088 31Drivers-sales workers 214 201 215 184 178 164 158 156 150 159 160 167 1Bus drivers 394 443 469 477 506 511 526 512 472 471 490 539 5Taxicab drivers and chauffeurs 180 213 197 217 230 238 211 203 248 273 271 280 3Parking lot attendants 45 53 53 44 41 49 50 46 46 62 68 60Motor transportation occupations NEC 2 5 6 5 7 8 8 4 4 3 11 11Rail transportation total 148 118 115 108 108 108 104 116 121 104 106 127 1Railroad conductors and yardmasters 36 36 38 39 38 38 33 45 48 50 45 48Locomotive operating occupations 59 46 44 44 45 47 51 49 53 41 45 63Railroad brake signal and switch operators 46 28 27 20 21 19 17 15 14 7 9 11Rail vehicle operators NEC 7 8 6 5 4 4 3 7 6 6 7 5Water transportation total 59 53 61 54 61 68 66 70 52 63 57 56Ship captains and mates except fishing boa 32 27 32 26 26 30 33 32 24 22 31 38Sailors and deckhands 18 18 18 16 24 27 26 25 21 30 16 14Marine engineers 1 2 4 5 3 6 3 8 2 3 5 2Bridge lock and lighthouse tenders 8 6 7 7 8 5 4 5 5 8 5 3Air transportation total 111 150 134 119 126 128 144 146 156 139 167 152 1Airplane pilots and navigators 77 114 100 96 101 104 114 114 120 113 143 129 1Air traffic controllers 34 36 34 23 25 24 30 32 36 26 24 23Public transportation attendants 65 100 86 91 105 104 94 95 115 124 111 127 1

NOTES

SOURCESAll data except total workers 16 years and over

2000 Ibid personal communication Aug 6 20012001 Ibid personal communication Aug 23 2002

2001 Ibid personal communication Aug 23 2002

Table 3-20a Employment in Transportation Occupations (Thousands)

1985 1990-2000 US Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC January 2001) revised totals table 1 Internet site httpstatsblsgovpdfcpsaat1pdf as of Aug 3 2001

1985 1990-99 US Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC Annual January issues) table 11 of the Household Data Annual Averages Tables Internet site httpstatsblsgovpdfcpsaatabhtm as of May 31 2000

Total workers 16 years and over

KEY NEC = not elsewhere classified

Beginning in January 2000 data are not comparable with data for earlier years due to new composite estimation procedures and revised controls used in the household survey for population See source for additional information

The employment totals in tables 3-19 and 3-20 differ Table 3-19 shows employment in transportation and related industries table 3-20 shows employment by transportation occupation Some employees of transportation industries have nontransportation jobs (eg a bookkeeper in a trucking firm) and some people in transportation occupations do not work in the transportation industry (eg a truck driver for a construction firm)

SOC code Occupation 1999 2000 2001 2002 2003 2004 2005 2006 2007

53-2011 Airline pilots copilots and flight engineers 88040 94820 88800 78810 76940 78490 76240 75810 7825053-2012 Commercial pilots 18780 18040 18380 19570 19940 21370 24860 27120 2918053-2021 Air traffic controllers 22620 23350 22990 23410 22610 22260 21590 23240 2418053-2022 Airfield operations specialists 4510 4580 5390 5910 4670 4810 4510 4760 621053-3011 Ambulance drivers and attendants except emergency medical technicians 13520 15700 17620 17280 18420 17410 18320 21100 21520

53-3021 Bus drivers transit and intercity 160210 175470 190530 197090 187900 183710 183450 191120 18905053-3022 Bus drivers school 463860 457050 469100 468790 471130 475430 465880 456570 46159053-3031 Driversales workers 385210 373660 378220 368730 397630 406910 400530 396680 38236053-3032 Truck drivers heavy and tractor-trailer 1558400 1577070 1548480 1520880 1520740 1553370 1624740 1673950 169359053-3033 Truck drivers light or delivery services 1085050 1033220 996000 977920 951400 938730 938280 941590 92290053-3041 Taxi drivers and chauffeurs 119630 130200 125860 125720 131880 132650 144280 154490 16559053-4011 Locomotive engineers 19940 29390 30730 28250 30070 31180 37390 36870 4176053-4012 Locomotive firers 890 1040 730 710 630 620 540 560 58053-4013 Rail yard engineers dinkey operators and hostlers 5070 4020 4840 4600 6020 6170 6970 5820 495053-4021 Railroad brake signal and switch operators 14500 16830 17070 15030 15310 16410 20700 22810 2312053-4031 Railroad conductors and yardmasters 36680 40380 40910 38070 35120 35720 38330 37110 3754053-4041 Subway and street car operators U 3190 U 7250 8720 8900 7430 6740 660053-5011 Sailors and marine oilers 27200 30090 28650 25360 27170 27570 31090 31690 3252053-5021 Captains mates and pilots of water vessels 20660 21080 22180 22530 24050 25200 28570 29170 3054053-5022 Motorboat operators 4000 3540 3410 3600 3130 2830 2700 2450 325053-5031 Ship engineers 6800 7370 7470 8020 10230 10330 13240 14190 1371053-6011 Bridge and lock tenders 6970 4790 4500 3900 3490 3500 3620 3700 475053-7071 Gas compressor and gas pumping station operators 6940 6510 6070 6920 5250 4680 3950 3900 423053-7072 Pump operators except wellhead pumpers 13480 13730 12920 12360 10540 9810 9970 10030 10400

17-2011 Aerospace engineers 71790 71550 74380 74210 71750 73650 81100 86720 8551017-2121 Marine engineers and naval architects 4450 4680 4860 4810 6060 6620 6550 7810 662017-3021 Aerospace engineering and operations technicians 17270 19850 15570 14700 10650 9260 9950 8280 787049-2091 Avionics technicians 15560 15360 16340 21710 21020 22310 22490 15360 1630049-2093 Electrical and electronics installers and repairers transportation equipment 14700 15930 16650 17320 17130 17390 20560 20480 18160

49-2096 Electronic equipment installers and repairers motor vehicles 14250 12480 13210 15200 15070 15490 17650 19510 19310

49-3011 Aircraft mechanics and service technicians 125970 135730 135250 125850 113470 112830 115120 118210 11878049-3021 Automotive body and related repairers 179960 168170 168630 175370 168630 162820 158160 155500 15279049-3022 Automotive glass installers and repairers 20520 21240 21550 19710 18040 18150 17760 18650 1834049-3023 Automotive service technicians and mechanics 587320 692570 701150 687380 689630 668540 654800 642360 65078049-3031 Bus and truck mechanics and diesel engine specialists 273320 258800 254420 254470 249230 251430 248280 254850 250370

49-3043 Rail car repairers 7230 10620 11860 13520 16790 18140 24270 23810 2319049-3051 Motorboat mechanics 18450 19040 18370 18550 17990 17680 18190 18550 1961049-3052 Motorcycle mechanics 11390 11720 13290 13030 15000 15920 16140 16700 1680049-3091 Bicycle repairers 8080 7940 7730 7000 7560 7750 7980 8350 913049-3092 Recreational vehicle service technicians 13100 12200 11830 12490 12520 12340 13540 13560 1403049-3093 Tire repairers and changers 99880 88530 86200 81560 85030 87110 100860 103120 10051051-2011 Aircraft structure surfaces rigging and systems assemblers 18070 32680 33620 25690 19830 18710 22820 27680 3441051-9122 Painters transportation equipment 45920 43270 44090 45670 47390 49810 52650 52170 5126051-9197 Tire builders 16680 15790 13410 13020 16400 17960 19860 23210 20530

Transportation equipment manufacturing and maintenance occupations

Vehicle operators pipeline operators and primary support

Table 3-20b Employment in Transportation and Transportation-Related Occupations

SOC code Occupation 1999 2000 2001 2002 2003 2004 2005 2006 2007Table 3-20b Employment in Transportation and Transportation-Related Occupations

53-6031 Service station attendants 109050 106010 107650 102550 96450 90640 96340 94780 9314053-7061 Cleaners of vehicles and equipment 302380 301330 304500 311070 321630 330520 333350 334560 336210

47-2071 Paving surfacing and tamping equipment operators 58410 56330 57880 58760 60210 61860 63220 63090 63850

47-4051 Highway maintenance workers 139540 145790 148390 146290 139810 136550 140600 138670 13714047-4061 Rail-track laying and maintenance equipment operators 8620 9940 11680 10450 12120 10430 13510 13680 14050

49-9097 Signal and track switch repairers 3720 5540 8550 7990 7600 7780 6100 5980 609053-7031 Dredge operators 1910 3100 2920 2850 2190 1730 1720 1780 1910

13-1032 Insurance appraisers auto damage 19310 12320 12110 13270 11260 12520 12900 12630 1215033-3041 Parking enforcement workers 7660 8040 9160 10180 9690 9990 10140 10090 991033-3052 Transit and railroad police 4590 5760 6750 6010 4790 4610 5090 5320 553033-9091 Crossing guards 68310 72830 69990 73020 68910 70180 69390 67750 6757039-6022 Travel guides 4180 5200 5480 4960 5240 4140 3120 3220 352039-6031 Flight attendants 123310 126380 115750 104360 99910 101980 99590 96760 9701039-6032 Transportation attendants except flight attendants and baggage porters 22780 23550 25910 26580 28440 27730 24810 20790 20690

41-3041 Travel agents 111130 124030 111310 104550 98410 90500 88590 87600 8558043-4181 Reservation and transportation ticket agents and travel clerks 222340 199700 183280 174170 156140 159910 160120 157650 16739043-5021 Couriers and messengers 134370 130210 121670 120900 117460 111700 106520 105070 10082043-5032 Dispatchers except police fire and ambulance 171560 167180 170050 168380 161570 165910 172550 185410 19019043-5052 Postal service mail carriers 352550 354980 355120 347420 344090 344050 347180 346990 34807043-5071 Shipping receiving and traffic clerks 886230 864530 802600 792470 757750 747270 759910 763350 75579053-6021 Parking lot attendants 109340 116930 109930 108460 109890 120080 124250 131870 13186053-6041 Traffic technicians 5000 4590 5090 5370 5980 6240 6990 6560 655053-6051 Transportation inspectors 22440 26520 27670 28340 23860 24140 25570 23790 2413053-7081 Refuse and recyclable material collectors 135320 118910 125600 132290 137510 139920 133930 125770 12627053-7121 Tank car truck and ship loaders 20830 17480 19430 16960 15910 16530 15950 15360 14870

11-3071 Transportation storage and distribution managers 123450 116680 108590 107400 90940 88100 84870 89010 9279053-1011 Aircraft cargo handling supervisors 8090 9960 9070 8920 8580 7460 6210 5620 469053-1021 First-line supervisorsmanagers of helpers laborers and material movers

hand138210 146790 147490 147180 159780 169860 176030 178820 184400

53-1031 First-line supervisorsmanagers of transportation and material-moving machine and vehicle operators

175260 186710 197430 207280 211960 222590 221520 220570 223710

Transportation Infrastructure construction and maintenance occupations

A broad definition of transportation and transportation-related occupations is used in this table based on Sen B and M Rossetti A Complete Count of the US Transportation Workforce Transportation Research Record 1719 2000 pp 259-266 Some occupational categories may include workers not engaged in transportation or transportation-related activities For example the category first-line supervisorsmanagers (53-1021 and 53-1031) may include workers in material moving occupations along with transportation occupations Moreover some workers engaged in transportation and transportation-related activities may be excluded For example baggage porters and bellhops is not included in this table because it is believed that a large share of workers in this category work in hotels or similar establishments

US Department of Labor Bureau of Labor Statistics Occupational Employment Statistics Occupational Employment and Wages May 2007 (Washington DC May 2007) available at httpwwwblsgovoescurrentoes_nathtm as of December 2008

SOURCE

Secondary Support Service Occupations

Other

KEY SOC = Standard Occupational Classification

Occupational Employment Statistics (OES) uses a mail survey to measure employment levels and wage rates for all full- and part-time wage and salary workers in nonfarm establishments The survey does not include self-employed owners and partners in unincorporated firms household workers or unpaid family workers In 1999 OES began using the Standard Occupational Classification (SOC) system to organize occupational data Consequently estimates from 1999 and subsequent years are not directly comparable to previous occupational estimates The SOC is being adopted by all federal agencies and consists of 821 detailed occupations grouped into 449 board occupations 96 minor groups and 23 major groups

NOTES

Table 3-21a Average Wagea and Salary Accruals per Full-Time Equivalent Employee by Transportation Industry (Standard Industrial Classification [SIC] basis)b (Current $)

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

All industries 4822 5808 7744 10810 15793 21297 26262 27326 28672 29444 30177 31034 32087 33490 35201 36754 38846

Transportation total 5835 6989 9396 13550 20818 25246 29000 30018 31575 31392 31946 32283 33074 34407 35907 37178 38484

Air 6929 8495 12027 17035 25649 32131 32867 34487 36058 35852 36257 36419 36989 38691 40441 42523 43820

Trucking and warehousing 5396 6623 8672 12765 19204 22383 26297 26921 28336 28293 29112 29605 30342 31754 32949 34007 35024

Local and interurban passenger transit 4877 5553 6996 9462 13530 14878 17554 18064 18950 18955 19504 19980 20648 21219 22008 22792 23745

Railroad 6241 7460 10110 14987 25049 36608 43602 45893 50267 50440 51719 50465 55299 57235 60632 60623 62673

Water 6212 7402 10302 14136 22746 28531 33855 34703 36311 36833 37357 37769 38857 40329 42317 43436 44980

Pipelines except natural gas 6957 8053 10765 16765 26227 37316 46167 47000 51526 50421 54647 58186 54782 58881 64991 65379 66540

Transportation servicesc5380 6239 8232 11430 16005 20530 26057 27169 28534 28792 29588 30801 31511 32794 34603 36204 38602

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement b The data in this table have been revised as a result of the Bureau of Economic Analysis comprehensive revision of c Establishments furnishing services incidental to transportation such as forwarding and packing services and the

NOTES

Use care in comparing the data in this table with those in table 3-22 This table includes weighted part-time employees salaries Table 3-22 covers only full-time employees 1960-85 data are based on the 1972 SIC codes 1990-2000 data are based on the 1987 SIC codes

The Bureau of Economic Analysis provides these data on a SIC basis ending in 2000 and on a North American Industry Classification System (NAICS) basis beginning in 1998 (see table 3-21b for data based on NAICS)

Wage and salary accruals consist of the monetary remuneration of employees including compensation of corporate officers commissions tips and bonuses voluntary employee contributions to certain deferred compensation plans such as 401(k) plans and receipts in kind that represent income In other words accruals are wage and salary earned not wage and salary paid For example wage and salary earned in 1999 but not paid until 2000 are included in accruals for 1999 However the difference between wage and salary earned and wage and salary paid is usually very small

SOURCE

1960-2000 US Department of Commerce Bureau of Economic Analysis National Income and Products Accounts tables 66b and 66c Internet site httpwwwbeadocgovbeadn1htm available as of Feb 17 2004

Table 3-21b Average Wagea and Salary Accruals per Full-Time Equivalent Employee by Transportation Industry (North American Industry Classification System [NAICS] basis) (Current $)

1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007All industries 35201 36754 38846 39667 40394 41783 43450 44999 46982 49053Transportation and warehousing 36297 37612 39463 39426 40116 40854 42526 43097 44641 46559

Air 46790 48466 50969 55336 57370 56771 58134 56073 58539 64124Rail 60530 60538 62728 63517 64404 67174 71007 71950 74105 75586Water 47422 51803 51361 54850 56386 57398 60869 62334 65861 72097Truck 34533 35341 36736 36204 36954 37793 39531 40918 42440 43545Transit and ground passenger transportation 21988 22880 23795 23121 23512 24129 24868 25713 26828 27882Pipeline 71496 77984 96703 99717 81404 83188 88573 88452 97236 105186Other transportation and support activitiesb 33444 35299 36806 35846 37226 38545 40794 41707 43394 45058Warehousing and storage 30120 31663 34269 33842 34763 36115 (R) 37467 37897 38701 40308

KEY R = revised

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement plans and health life and unemployment insurance compensationb Comprises business establishments involved in scenic and sightseeing transportation support activities for transportation postal service and couriers and messengers

NOTES

Data in this table are based on the 1997 NAICS codes The Bureau of Economic Analysis provides these data on a Standard Industrial Classification (SIC) basis ending in 2000 and on a NAICS basis beginning in 1998 (see table 3-21a for data based on SIC)

Use care in comparing the data in this table with those in table 3-22 This table includes weighted part-time employees salaries Table 3-22 covers only full-time employees

Wage and salary accruals consist of the monetary remuneration of employees including compensation of corporate officers commissions tips and bonuses voluntary employee contributions to certain deferred compensation plans such as 401(k) plans and receipts in kind that represent income In other words accruals are wage and salary earned not wage and salary paid For example wage and salary earned in 1999 but not paid until 2000 are included in accruals for 1999 However the difference between wage and salary earned and wage and salary paid is usually very small

SOURCE

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts table 66d available at httpwwwbeagov as of December 2008

Table 3-22a Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by Detailed Occupation (Current $)1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002

All occupationsa

343 412 426 440 459 467 479 490 503 523 549 576 597 609

Airplane pilots and navigators 738 910 931 884 1076 1013 956 1138 1079 1383 1048 1283 1150 1245

Public transportation attendants N 635 N N 733 452 450 417 521 524 604 568 552 611

Motor vehicle operators 343 400 405 415 434 452 475 473 496 503 514 543 575 582

Supervisors motor vehicle operators N 520 500 494 583 512 549 583 589 595 585 688 609 688

Truck drivers N N N 417 442 467 481 481 506 516 527 564 593 600

Drivers-sales workers 399 439 458 484 478 461 517 506 524 526 534 558 630 600

Bus drivers 344 355 378 400 403 392 419 396 405 428 428 460 457 493

Taxicab drivers and chauffeurs 262 307 342 312 312 374 352 374 405 379 427 468 487 476

Nonmotor vehicle operators 559 687 716 700 714 631 711 691 761 834 761 816 911 884

Rail transportation operators 599 717 774 717 722 701 741 740 814 849 816 863 947 866

Water transportation 463 547 576 610 667 582 624 586 641 812 604 778 794 934

a Earnings for all full-time workers 16 years and older workers not just transportation related

NOTES

Use care in comparing the figures in this table with those in table 3-21 This table does not include part-time employees

Table 3-21 includes weighted part-time employees salaries

SOURCES

Water transportation

1985ndash2000 US Department of Labor Bureau of Labor Statistics unpublished data Mar 1 1999 Mar 11 1999 and Apr 25 2000

2001-02 Ibid personal communication Aug 23 2002 and Nov 20 2003

Other Data

1985-2002 US Department of Labor Bureau of Labor Statistics Employment and Earnings (Washington DC Annual January issues) table 39 of the Household Data Annual Averages Tables available at httpwwwblsgov

2001 Ibid personal communication Aug 23 2002

Table 3-22b Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by Detailed Occupation (1998 Standard Occupational Classification [SOC] basis) (Current $)

2000 2001 2002 2003 2004 2005 2006 2007 2008TOTAL all occupations a 576 596 608 620 638 651 671 695 722Transportation and material moving occupations 481 504 514 520 520 543 556 570 593

Supervisors transportation and material moving workers 671 648 709 705 655 734 767 811 761Aircraft pilots and flight engineers 1193 1040 1233 1350 1418 1366 1407 1358 1390Air traffic controllers and airfield operations specialists 1090 1123 1041 1583 1239 1444 1259 1225 1116Ambulance drivers and attendants except emergency medical technicians 580 521 456 322 399 939 452 693 432Bus drivers 462 467 499 501 500 517 519 507 561Driversales workers and truck drivers 551 585 599 603 610 624 642 665 702Taxi drivers and chauffeurs 451 484 488 481 486 483 538 501 503Motor vehicle operators all other 509 508 409 353 380 394 417 484 511Locomotive engineers and operators 870 953 963 925 1056 998 1129 1157 1223Railroad brake signal and switch operators 689 753 792 880 820 698 999 706 1027Railroad conductors and yardmasters 817 927 818 884 881 1017 904 912 1067Subway streetcar and other rail transportation workers 754 727 579 515 686 497 696 973 700Sailors and marine oilers 508 697 701 616 424 628 812 549 666Ship and boat captains and operators 779 848 899 944 848 798 829 1158 1154Ship engineers 712 1190 1181 1154 980 1288 452 997 1158Bridge and lock tenders 935 560 667 726 599 637 627 892 512Parking lot attendants 316 329 341 350 378 360 397 410 436Service station attendants 314 335 362 369 319 323 364 404 373Transportation inspectors 731 696 747 847 810 893 771 839 910Other transportation workers 483 491 645 652 606 735 749 600 631Conveyor operators and tenders 465 488 350 363 521 501 847 563 549Crane and tower operators 675 688 694 589 732 727 790 715 925Dredge excavating and loading machine operators 572 617 602 653 607 616 623 726 708Hoist and winch operators 733 610 604 789 709 516 625 446 406Industrial truck and tractor operators 448 477 499 488 486 499 513 519 534Cleaners of vehicles and equipment 361 363 354 373 384 385 379 405 428Laborers and freight stock and material movers hand 401 426 420 464 443 456 474 474 501Machine feeders and offbearers 412 403 433 437 422 449 451 511 439Packers and packagers hand 313 332 338 348 349 372 391 374 388Pumping station operators 730 622 786 801 747 910 888 942 919Refuse and recyclable material collectors 435 505 430 456 508 491 393 517 475Shuttle car operators 992 696 1030 741 736 772 436 364 643Tank car truck and ship loaders 420 703 506 589 504 462 407 607 683Material moving workers all other 491 463 516 515 591 598 553 665 517

a Earnings for all full-time workers not just transportation related

NOTESThe 1998 Standard Occupational Classification (SOC) System was developed by the Federal Government in response to a growing need for a universal occupational classification system The SOC is being adopted by all Federal agencies and consists of 821 detailed occupations grouped into 449 broad occupations 96 minor groups and 23 major groupsThis table does not include part-time employees while table 3-21 includes salaries of part-time employees

SOURCE

US Department of Commerce Bureau of the Census Current Population Survey table A-26 personal communications Oct 4 2004 Nov 20 2005 Oct 27 2006 Dec 20 2007 and Mar 04 2009

Table 3-23a Total Wagea and Salary Accruals by Transportation Industry (Standard Industrial Classification [SIC] basis)b (Current $ millions)

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

All industries 272855 363757 551560 814838 1377641 1995472 2754015 2822984 2964529 3089159 3249764 3435670 3623205 3874685 4182719 4471400 4829240

Transportation total 14629 17276 24505 34512 59247 72556 95323 97978 102840 106514 113248 118964 125351 133638 144919 154811 163555

Air 1268 1852 4029 5894 11029 15744 29515 30659 31983 33020 34553 36237 38616 41090 45132 49284 52890

Trucking and warehousing 4592 6265 9123 13786 23755 29725 34475 34890 36780 38790 42155 44556 46787 50362 54365 58323 61326

Local and interurban passenger transit 1307 1427 1868 2375 3423 4047 5635 5943 6329 6748 7373 7892 8569 9188 9903 10575 10899

Railroad 5498 5446 6268 8108 12850 11861 10726 10877 11511 11147 11171 11203 11502 11733 12611 12610 12409

Water 1379 1584 2112 2601 4572 5050 5620 5969 5955 6004 6239 6345 6450 6896 7321 7601 8141

Pipeline except natural gas 160 153 183 285 577 709 831 893 979 958 929 873 822 824 845 850 865

Transportation servicesc

425 549 922 1463 3041 5420 8521 8748 9302 9847 10829 11858 12604 13544 14741 15568 17024

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement plans and health life and unemployment insurance compensation

b The data in this table have been revised as a result of the Bureau of Economic Analysis comprehensive revision of the National Income and Product Accounts (NIPA)

c Establishments furnishing services incidental to transportation such as forwarding and packing services and the arrangement of passenger and freight transportation

NOTE

The Bureau of Economic Analysis provides these data on a SIC basis ending in 2000 and on a North American Industry Classification System (NAICS) basis beginning in 1998 (see table 3-23b for data based on NAICS)

SOURCE1960-2000 US Department of Commerce Bureau of Economic Analysis National Income and Products Accounts tables 63b and 63c Internet site httpwwwbeadocgovbeadn1htm as of Feb 17 2004

1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006All industries 4182719 4471400 4829240 4942776 4980897 5127686 5379508 5676657 6028499Transportation and warehousing total 142175 151999 162753 165113 162152 163580 172527 180103 190097

Air 25512 27447 30046 32311 30551 28385 28258 26669 26774Rail 12611 12610 12409 12104 11841 12099 12762 13545 14199Water 2396 2652 2710 2789 2888 2984 3248 3617 3934Truck 43059 45818 48594 48541 47879 48497 51779 55348 58669Transit and ground passenger transportation 7672 8249 8497 8806 8987 9244 9666 10209 10824Pipeline 3178 3473 4282 4238 3272 3188 3171 3169 3573Other transportation and support activitiesb 34105 37040 39974 39881 39750 40940 43739 45951 48873Warehousing and storage 13641 14709 16240 16442 16984 18244 19903 21594 23252

Table 3-23b Total Wagea and Salary Accruals by Transportation Industry (North American Industry Classification System [NAICS(Current $ millions)

SOURCE

US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts table 63d available at httpwwwbeagov as of December 2008

a Wages do not include supplements to wages and salaries such as pension profit-sharing and other retirement plans and health life and unemployment insurance compensationb Comprises business establishments involved in scenic and sightseeing transportation support activities for transportation postal service and couriers and messengers

KEY R = revised

Table 3-24a Labor Productivity Indices for Selected Transportation Industries (SIC)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

Output per hour a worked

Airb

N N N N N N 93 93 97 100 106 109 111 112 108 109 111

Bus Class I c

106 128 118 107 111 96 96 104 105 109 99 110 106 125 105 135 112

Railroad 22 32 36 43 55 82 119 128 140 145 150 156 167 170 173 183 196

Trucking except localb

N N N N N N 111 117 123 127 130 125 131 132 130 132 131

Petroleum pipelinesc

31 49 76 91 89 100 103 99 100 104 108 116 131 134 137 145 141

Output per employeed

Air 22 35 45 56 71 92 93 93 97 100 106 109 111 112 108 109 111

Bus Class I c

108 129 119 103 99 93 96 102 103 107 96 105 103 121 104 133 110

Railroad 25 36 42 46 55 79 120 125 134 142 153 162 172 177 176 182 195

Trucking except local 48 56 60 64 78 94 111 117 123 127 130 125 131 132 130 132 131

Petroleum pipelinesc

30 48 75 89 89 98 102 98 99 104 112 121 139 141 146 150 141

KEY N = data do not exist

a Based on the number of paid hoursb The average weekly hours were assumed to be constant for these industries therefore the output per hour worked and the output per employee measures are identical in the years for which data are given for both measuresc Data did not meet the publication standards for the Bureau of Labor Statistics and are considered less reliable than the published seriesd Full-time and part-time employees are counted equally Hence these data do not reflect output per full-time equivalent employee

NOTEIndex 1987 = 100

SOURCES

US Department of Labor Bureau of Labor Statistics Industry Productivity Internet site httpwwwblsgovlpciprdata1htm as of Aug 12 2002Ibid personal communication Aug 19 2002 (unpublished data)

1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Output per hour a workedAir transportationb 81 82 79 78 78 81 85 91 95 99 100 98 98 98 92 102 (R) 113 (R) 127 (R) 136Line-haul railroads 59 64 68 70 75 82 86 89 92 98 100 102 105 114 122 132 142 (R) 146 (R) 138General freight trucking long-distance 86 86 85 89 93 98 96 98 96 95 100 99 99 102 103 107 111 111 (R) 113Postal Service 91 90 90 94 94 95 98 98 98 97 100 102 103 105 106 106 108 110 111Output per employeec

Air transportationb 81 82 79 78 78 81 85 91 95 99 100 98 98 98 92 102 (R) 113 (R) 127 (R) 136Line-haul railroads 57 62 64 68 70 76 80 86 91 97 100 99 102 110 113 119 (R) 128 (R) 133 (R) 131General freight trucking long-distance 83 84 83 86 89 95 95 98 95 96 100 99 100 103 103 108 112 115 (R) 117Postal Service 87 87 87 91 92 95 98 98 96 96 100 101 102 106 105 105 107 111 (R) 114KEY R = revised

a Based on the number of paid hours

Table 3-24b Labor Productivity Indices for Selected Transportation Industries (North American Industry Classification System [NAICS] basis) (Index 1997 = 100)

b The average weekly hours were assumed to be constant for air transportation industries therefore the output per hour worked and the output per employee measures are identical c Full-time and part-time employees are counted equally Hence these data do not reflect output per full-time equivalent employee

SOURCE

US Department of Labor Bureau of Labor Statistics Industry Productivity available at httpwwwblsgovlpc as of September 2008

NOTESBLS developed labor productivity indexes for all manufacturing and retail trade of the North American Industry Classification System (NAICS) industries as well as selected mining transportation communications and services industries Indexes for petroleum pipelines and bus (class I) systems were created under the Standard Industrial Classification (SIC) system but have not yet been developed under NAICS Productivity measures for NAICS start in 1987

Section DGovernment Finance

Table 3-25a Federal State and Local Government Transportation-Related Revenues and Expenditures Fiscal Year (Current $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

Total government revenues 94548 97591 101257 112733 129743 128073 125480 131412 132774 136328 146856 150492Federal 30478 31188 31960 39442 52567 47147 43197 45914 46434 46284 51284 52244State and local 64070 66403 69297 73291 77176 80926 82284 85497 86340 90044 95572 98248Total government expenditures 143256 149133 155954 163544 182318 186374 211180 223808 238092 237636 243086 199397State and local expenditures including federal grants 123369 129158 135988 142364 161352 165290 180864 188012 195423 198377 208045 163562Federal grants 24793 24760 25913 25014 27824 35277 38668 42593 42547 42779 50032 45334Federal expenditures less grants 19886 19976 19965 21180 20966 21084 30316 35796 42669 39260 35041 35836

KEY R = revised

NOTESNumbers may not add to totals due to roundingTotal government expenditure is the sum of state and local expenditure including federal grants and federal expenditures less grants Local government receipts from motor fuel motor vehicle and toll highway charges are not included in 2006

Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for nontransportation purposes 2) nontransportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing

SOURCE US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

1980 1985 1990 1991 1992 1993 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 2003Total government revenues 66341 80106 90941 97367 99153 102114 102194 114185 114085 111788 122063 136465 128597 122609 127553 123950Federal 19952 27996 28414 32839 32169 32693 31497 35667 35339 35145 42527 54938 47146 41940 43172 42631State and local 46389 52110 62527 64528 66985 69421 70697 78518 78746 76643 79535 81527 81451 80669 84381 81319Total government expenditures 95431 118603 131270 136269 141489 139654 146867 173577 173908 177008 180158 194479 195398 214290 221107 227529State and local expenditures less federal grantsa 47715 75555 90180 94531 97551 95061 100866 121311 123215 126575 130351 143494 139101 147322 147154 149175Federal grantsb 28286 27648 26172 25906 26552 27516 26956 23081 23157 22962 23136 25124 26191 28512 30524 31139Federal expenditures less grants 19429 15400 14919 15832 17386 17078 19044 29185 27536 27471 26671 25861 30106 38456 43430 47214

NOTE

SOURCES

Table 3-25b Federal State and Local Government Transportation-Related Revenues and Expenditures Fiscal Year (Chained 2000 $ millions)

b Federal grants to state and local governments for research and special programs and emergency preparedness are included starting from 1985

1980 US Department of Transportation Bureau of Transportation Statistics unpublished data

KEY R = revised U = data are not availablea Figures for state and local expenditures less federal grants were determined by subtracting federal grants from state and local expenditures including grants State and local expenditures including grants were obtained from the US Department of Commerce Census Bureau which uses different definitions and accounting methods than those used by some modal administrations of the US Department of Transportation For example highway expenditures in this table do not include traffic control activities by police or public safety activities while the highway expenditure statistics published by the US Department of Transportation Federal Highway Administration do include these items

1985ndash1994 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2003 (Washington DC forthcoming) 3-b 13-b and 14-b1995-2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics2007Constant dollar deflator US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Washington DC table 394

Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

All numbers were converted to chained dollars using the Government consumption expenditures and gross investment price index

Table 3-26 Summary of Transportation Revenues and Expenditures from Own Funds and User Coverage Fiscal Year (Current and chained 2000 $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

Federal revenuesCurrent 30478 31188 31960 39442 52567 47147 43197 45914 46434 46284 51284 52244Chained 34494 34465 34686 42198 54712 47147 42125 43518 42270 40334 42219 41060Federal expendituresCurrent 44679 44736 45878 46193 48790 56361 68984 78390 85216 82038 85072 81170Chained 50566 49437 49793 49421 50781 56361 67273 74298 77576 71491 70036 63793Federal user coverage (percent) 68 70 70 85 108 84 63 59 54 56 60 64State and local revenuesCurrent 64070 66403 69297 73291 77176 80926 82284 85497 86340 90044 95572 98248Chained 72512 73381 75210 78412 80326 80926 80242 81035 78599 78467 78679 77215State and local expendituresCurrent 103663 108735 115095 120890 137298 139101 150706 152839 158841 161292 168699 123235Chained 117321 120161 124914 129337 142901 139101 146968 144862 144600 140554 138881 96853State and local user coverage (percent) 62 61 60 61 56 58 55 56 54 56 57 80KEY R = Revised

NOTESSate and local expenditure includes outlays from all sources of funds including federal grantsFederal expenditure includes direct federal spending and grants to state and local governmentsLocal government receipts from highway are not included in 2006

Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for nontransportation purposes 2) nontransportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing The big jump of federal user coverage (percent) in 1999 is due to the fact that taxpayer Relief Act of 1997 allowed taxpayers to delay depositing highway motor fuel tax receipts that would have been required to be made in August and September of 1998 until October 5 1998 October 5 1998 is in fiscal year 1999

SOURCEU S Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

Table 3-27a Transportation Revenues by Mode and Level of Government Fiscal Year (Current $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

TOTAL all modes 94548 97591 101257 112733 129743 128073 125480 131412 132774 136328 146856 150492Federal 30478 31188 31960 39442 52567 47147 43197 45914 46434 46284 51284 52244State and local 64070 66403 69297 73291 77176 80926 82284 85497 86340 90044 95572 98248Highway total 67544 72729 74116 79921 92577 90980 86994 91412 92310 96189 103564 102688Federal 22200 25981 25316 28638 39308 34985 31486 33297 34421 35107 38747 39191State and local 45344 46748 48801 51283 53269 55995 55509 58114 57889 61082 64817 63497Air total 14518 11899 13879 19034 22054 22298 23248 24532 24212 23130 25645 27072Federal 6291 3128 4488 8682 11089 10544 10103 11282 10597 9652 10797 11137State and local 8227 8771 9391 10352 10965 11754 13145 13250 13615 13478 14848 15935Railroads Total 36 2 0 0 0 1 0 0 0 0 0 0Federal 36 2 0 0 0 1 0 0 0 0 0 0Transit total 8575 8753 9006 9417 10587 10670 10922 11448 11906 12377 12512 15117State and local 8575 8753 9006 9417 10587 10670 10922 11448 11906 12377 12512 15117Water total 3832 4168 4216 4323 4486 4058 4250 3937 4279 4569 5070 5536Federal 1909 2037 2117 2084 2131 1551 1543 1252 1349 1462 1676 1837State and local 1923 2131 2099 2239 2355 2507 2707 2685 2930 3107 3394 3699Pipeline total 35 31 30 29 30 40 44 57 57 55 56 58Federal Pipeline Safety Fund 35 31 30 29 30 40 44 57 57 55 56 58General support total 7 9 9 9 9 26 21 26 10 8 8 21Federal Emergency Preparedness Fund 7 9 9 9 9 26 21 26 10 8 8 21KEY R = Revised

NOTES Numbers may not add to totals due to rounding Local government receipts from highway are not included in 2006Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for non-transportation purposes 2) non-transportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

Table 3-27b Transportation Revenues by Mode and Level of Government Fiscal Year (Chained 2000 $ millions)(R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 2004 2005 2006

TOTAL all modes 107005 107846 109896 120610 135038 128073 122367 124552 120870 118800 120899 118275Federal 34494 34465 34686 42198 54712 47147 42125 43518 42270 40334 42219 41060State and Local 72512 73381 75210 78412 80326 80926 80242 81035 78599 78467 78679 77215Highway total 76444 80371 80440 85506 96355 90980 84836 86640 84034 83822 85259 80705Federal 25125 28711 27476 30639 40912 34985 30705 31559 31335 30594 31898 30801State and Local 51319 51660 52964 54866 55443 55995 54132 55081 52699 53229 53361 49904Air total 16431 13150 15063 20364 22954 22298 22671 23252 22041 20156 21112 21277Federal 7120 3457 4871 9289 11542 10544 9852 10693 9647 8411 8889 8753State and Local 9312 9693 10192 11075 11413 11754 12819 12558 12394 11745 12224 12524Railroads total 41 2 0 0 0 1 0 0 0 0 0 0Federal 41 2 0 0 0 1 0 0 0 0 0 0Transit total 9705 9673 9775 10075 11019 10670 10651 10850 10839 10786 10301 11880State and Local 9705 9673 9775 10075 11019 10670 10651 10850 10839 10786 10301 11880Water total 4337 4606 4576 4625 4669 4058 4145 3732 3895 3981 4174 4351Federal 2161 2251 2298 2230 2218 1551 1505 1187 1228 1274 1380 1444State and Local 2177 2355 2278 2396 2451 2507 2640 2545 2667 2707 2794 2907Pipeline total 40 34 33 31 31 40 43 54 52 48 46 46Federal 40 34 33 31 31 40 43 54 52 48 46 46General support total 8 10 10 10 9 26 20 25 9 7 7 17Federal 8 10 10 10 9 26 20 25 9 7 7 17KEY R = Revised

NOTESNumbers may not add to totals due to rounding Local government receipts from highway are not included in 2006

Government transportation revenues consist of money collected by governments from transportation user charges and taxes to finance transportation programs The following types of receipts are excluded 1) revenues collected from users of the transportation system that are directed to the general fund and used for non-transportation purposes 2) non-transportation general fund revenues that are used to finance transportation programs and 3) proceeds from borrowing

SOURCEUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Government Transportation Financial Statistics 2008

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL all fundsCurrent $ 16441 20483 31795 35697 37475 36499 31916 32345 31139 31306 30637 44323 48175 45550 (R) 44250 (R) 38385 (R) 28885 (R) 26852 28876Chaineda 2000 $ 30847 29272 41216 44492 45368 43047 36659 36138 33853 33471 32416 45749 48175 44698 (R) 41891 (R) 34866 (R) 25063 (R) 22242 22986Airport Airway Trust FundCurrent $ 5442 7426 14355 15263 15204 12850 12386 11365 7692 6358 9411 12446 13934 14485 12642 12397 11669 11290 10336Chaineda 2000 $ 10210 10613 18609 19024 18406 15155 14227 12698 8363 6798 9958 12846 13934 14214 11968 11260 10125 9352 8228Highway Trust Fund highway accountCurrent $ 10999 10361 9629 10246 11300 11523 7927 9421 11658 12575 8519 19206 22553 20372 (R) 16136 (R) 12991 (R) 10791 (R) 10594 8865Chaineda 2000 $ 20636 14807 12482 12770 13680 13590 9105 10526 12674 13444 9014 19824 22553 19991 (R) 15276 (R) 11800 (R) 9363 (R) 8775 7057Highway Trust Fund transit accountCurrent $ N 2524 7155 9250 9798 10617 9945 9579 9525 9857 10051 9753 8547 7368 6096 4823 3776 1950 6204Chaineda 2000 $ N 3607 9275 11529 11862 12522 11423 10702 10355 10539 10635 10067 8547 7230 5771 4381 3276 1615 4939Harbor Maintenance Trust FundCurrent $ N N 30 74 121 305 451 621 865 1106 1246 1556 1621 1777 1850 2001 2299 2695 3234Chaineda 2000 $ N N 39 92 146 360 518 694 940 1182 1318 1606 1621 1744 1751 1818 1995 2232 2574Inland Waterway Trust FundCurrent $ N 172 281 217 186 180 214 238 275 300 327 345 364 404 392 383 350 323 237Chaineda 2000 $ N 246 364 270 225 212 246 266 299 321 346 356 364 396 371 348 304 268 189Oil Spill Liability Trust FundCurrent $ N N 345 647 866 1024 993 1121 1124 1110 1083 1017 1156 1144 1037 966 856 759 620Chaineda 2000 $ N N 447 806 1048 1208 1141 1252 1222 1187 1146 1050 1156 1123 982 877 743 629 494

Note

1980-94 US Department of Transportation Bureau of Transportation Statistics Transportation Receipts and Outlays in the Federal Budget Fiscal Years 1977-94 (Washington DC April 1997) table 1-3 1995-2004 US Executive Office of the President Office of Management and Budget Budget of the United States Government Appendix (Washington DC Annual issues)

2007 US Department of Commerce Bureau of Economic Analysis Interactive Access to National Income and Product Accounts Tables table 394 Price Indexes for Government Consumption Expenditures and Gross Investment Internet site httpwwwbeagovnationalnipaweb as of Dec 5 2007

Chained dollar deflator

2007 US Executive Office of the President Office of Management and Budget Budget of the United States Government Appendix (Washington DC Annual issues)

SOURCES

KEY N = data do not exist R = revised

Reported figures are cash balance at the end of the year for all trust funds

Table 3-28 Cash Balances of the Transportation-Related Federal Trust Funds Fiscal Year ($ millions)

Previous editions of NTS reported balance of total highway trust fund instead of the highway acount of the highway trust fund from 2002-2005

a Chained dollars calculated using a federal government price index see source for more information

Table 3-29a Transportation Expenditures by Mode and Level of Government from Own Funds Fiscal Year (Current $ millions)1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

TOTAL all modesa 56217 77213 100685 108338 114640 116517 125946 143254 149146 155920 163525 182296 186311 211080 223675 238061Federal 24661 28300 30924 33015 35331 37337 39733 19869 19976 19946 21178 20960 21020 30215 35662 42637State and locala 31556 48914 69760 75323 79309 79180 86213 123385 129171 135974 142347 161337 165291 180865 188013 195423Highways total 34553 46613 62629 66588 69018 70054 74591 90075 94746 98398 103988 112259 119847 127003 133538 138500Federal 11706 15039 15517 15921 16837 18144 20113 1685 1978 1581 1654 1576 2126 2393 2620 3166State and local 22847 31574 47112 50667 52182 51910 54478 88391 92768 96817 102334 110683 117720 124610 130918 135334Air total 5673 7903 12568 13978 15920 17412 17945 19250 19770 20694 21732 22066 22525 32839 37025 34185Federal 3762 4947 7305 8285 9317 10053 10150 10807 10921 10499 11193 9389 9285 17220 20675 17019State and local 1911 2955 5263 5692 6604 7359 7795 8443 8849 10195 10539 12677 13240 15619 16350 17166Transit totala 8915 16308 19251 20848 22313 21272 25087 25460 26113 27858 28990 39170 34828 38989 41604 41555Federal 3307 3427 3832 3917 3675 3517 3770 1277 1194 1750 2341 4309 3677 4409 4508 4560State and locala 5608 12881 15420 16930 18639 17755 21317 24183 24919 26108 26649 34861 31150 34580 37095 36995Water total 4475 5124 5480 5847 6167 6593 7046 6623 6727 7108 7098 7701 7634 10620 8038 11775Federal 3308 3642 3537 3833 4304 4462 4457 4314 4149 4299 4313 4630 4493 4626 4467 5900State and local 1167 1481 1943 2014 1863 2131 2589 2309 2578 2809 2785 3070 3141 5995 3571 5875Rail total 2419 1072 540 781 903 816 844 1065 1041 1150 1083 438 779 754 1325 1242Federal 2395 1057 534 779 900 811 833 1023 1001 1125 1064 414 765 722 1281 1220State and local 23 15 6 1 3 5 12 42 40 25 19 24 14 32 44 22Pipeline totalb RZ 8 26 28 32 34 38 24 34 33 36 38 46 37 48 65Federal RZ RZ 9 9 12 14 16 12 23 20 22 22 28 18 27 45State and local RZ 8 17 19 20 20 22 12 11 13 14 16 18 19 22 20General support totalc 183 187 191 270 286 337 394 757 716 678 598 625 653 838 2097 10740Federal general support 183 187 191 270 286 337 394 751 710 672 592 619 645 828 2085 10728State and local RZ RZ RZ RZ RZ RZ RZ 6 6 6 6 6 8 10 12 12

KEY R = revised RZ = no activity or a value of zero U = data are not availablea Data for 1980 1985 and 1990-2001 have been revised due to the Office of Management and Budget (OMB)s revision to the b Includes gas and liquid pipelinec General support represents administrative and operating expenditures of the US Department of Transportation the Interstate

NOTENumbers may not add to totals due to rounding Numbers for state and local expenditures from own funds were calculated by deducting federal grants from state and local Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

SOURCES1980 US Department of Transportation Bureau of Transportation Statistics unpublished data1985ndash2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003TOTAL all modesa 112303 118603 131270 136269 141489 139654 146867 167643 169008 171473 176322 190523 186311 205209 211379 219656Federal 47715 43048 41090 41738 43938 44593 46000 23252 22636 21935 22836 21905 21020 29375 33702 39341State and locala 64587 75555 90180 94531 97551 95061 100866 144391 146372 149537 153487 168618 165291 175834 177677 180315Highways total 69411 71647 81520 83715 85122 83992 87023 105411 107363 108213 112126 117325 119847 123470 126197 127792Federal 22649 22876 20618 20128 20938 21671 23286 1972 2241 1738 1783 1647 2126 2326 2476 2921State and local 46762 48771 60902 63587 64184 62321 63737 103439 105122 106475 110343 115678 117720 121144 123721 124871Air total 11190 12091 16510 17618 19709 20842 20871 22528 22402 22758 23433 23062 22525 31925 34990 31542Federal 7279 7526 9706 10474 11587 12007 11751 12647 12375 11546 12069 9813 9285 16741 19538 15703State and local 3911 4565 6804 7144 8122 8835 9120 9881 10027 11212 11364 13249 13240 15184 15452 15838Transit totala 17876 25109 25024 26200 27496 25516 29305 29794 29591 30637 31259 40937 34828 37905 39317 38342Federal 6398 5213 5091 4952 4570 4200 4364 1494 1354 1925 2524 4503 3677 4286 4260 4207State and locala 11479 19897 19933 21248 22926 21316 24941 28300 28237 28713 28735 36434 31150 33618 35056 34135Water total 8789 7829 7211 7373 7644 7887 8189 7751 7623 7817 7653 8048 7634 10325 7596 10864Federal 6401 5540 4700 4846 5353 5329 5160 5048 4702 4728 4650 4839 4493 4497 4221 5444State and local 2388 2288 2511 2527 2291 2558 3029 2703 2921 3090 3003 3209 3141 5828 3375 5420Rail total 4683 1631 717 987 1123 975 978 1246 1180 1265 1168 458 779 733 1252 1146Federal 4635 1608 710 985 1120 969 964 1197 1134 1237 1147 433 765 702 1211 1126State and local 48 23 8 1 3 6 14 49 45 28 21 25 14 31 42 20Pipeline totalb RZ 12 34 35 40 40 45 28 39 36 39 40 46 36 45 60Federal RZ RZ 12 12 15 16 19 15 26 22 24 23 28 17 25 41State and local RZ 12 21 24 25 24 26 14 13 14 15 17 18 19 20 19General support totalc 354 284 253 341 356 402 456 886 811 746 645 653 653 814 1981 9909Federal general support 354 284 253 341 356 402 456 879 804 739 638 647 645 805 1970 9898State and local RZ RZ RZ RZ RZ RZ RZ 7 7 7 6 6 8 10 11 11KEY R = revised RZ = no activity or a value of zero U = data are not available

Numbers may not add to totals due to rounding

SOURCES

Table 3-29b Transportation Expenditures by Mode and Level of Government from Own Funds Fiscal Year (Chained 2000 $ millions)

b Includes gas and liquid pipeline

Constant dollar deflator US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Washington DC table 394 Chain-Type Price Index

c General support represents administrative and operating expenditures of the US Department of Transportation the Interstate Commerce Commission (terminated at the end 1995) and the National Transportation Safety Board

a Data for 1980 1985 and 1990-2001 have been revised due to the Office of Management and Budget (OMB)s revision to the source data on federal expenditure and federal grants

1985ndash2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see theGovernment Transportation Financial Statistics report for details

Numbers for state and local expenditures from own funds were calculated by deducting federal grants from state and local expenditures that included federal grants

NOTE

1980 US Department of Transportation Bureau of Transportation Statistics unpublished data

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003Total all modes 14617 18176 19697 20492 21351 23038 23283 24793 24760 25913 25014 27824 35277 38668 42593 42282Highway 10807 14007 14695 15083 16044 17158 18319 18457 18712 19819 19073 21952 25710 27630 29890 29608Air 590 789 1220 1541 1672 1931 1620 1826 1655 1489 1511 1565 1578 2020 2860 2681Transit 3163 3329 3738 3826 3586 3893 3268 4410 4298 4518 4342 4226 7942 8957 9767 9938Watera RZ 12 26 35 36 37 39 62 55 31 32 21 9 1 RZ RZRail 54 35 14 3 7 12 27 21 23 37 35 38 13 31 43 22Pipeline RZ RZ 4 5 6 7 5 12 11 13 14 16 18 19 22 20General Supportb 3 4 RZ RZ RZ 0 5 6 6 6 6 6 8 10 12 12

Table 3-30a Federal Transportation Grants to State and Local Governments by Mode Fiscal Year (Current $ millions)

KEY R = revised RZ = no activity or a value of zero 0 = value too small to report

a Includes only federal grants for Boat Safety Program b General support is a new addition to the table It includes federal grants to state and local governments for research

1980 US Department of Transportation Bureau of Transportation Statistics unpublished data1985-2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

NOTENumbers may not add to totals due to rounding

SOURCES

Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

Table 3-30b Federal Transportation Grants to State and Local Governments by Mode Fiscal Year (Chained 2000 $ millions)1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

Total all modes 28278 27642 26172 25906 26552 27516 26956 29014 28057 28498 26971 29080 35277 37593 40252 39013Highway 20910 21307 19525 19069 19953 20492 21209 21599 21204 21796 20566 22943 25710 26861 28247 27319Air 1142 1200 1621 1948 2079 2307 1875 2137 1875 1638 1629 1636 1578 1964 2703 2474Transit 6120 5064 4967 4836 4459 4650 3783 5161 4870 4969 4682 4417 7942 8708 9230 9170Watera RZ 18 34 44 45 44 46 73 62 34 35 22 9 1 RZ RZRail 105 53 19 3 8 14 32 25 26 41 38 40 13 30 41 20Pipeline RZ RZ 6 6 7 8 6 14 13 14 15 17 18 19 20 19General supportb 5 6 RZ RZ RZ 0 6 7 7 7 6 6 8 10 11 11KEY R = revised RZ = no activity or a value of zero 0 = value too small to report

a Includes only federal grants for Boat Safety Program b General support is a new addition to the table It includes federal grants to state and local governments for

NOTENumbers may not add to totals due to rounding Beginning in 1995 a new methodology is used numbers from years prior to 1995 are not comparable see the Government Transportation Financial Statistics report for details

SOURCES1980 US Department of Transportation Bureau of Transportation Statistics unpublished data 1985ndash2003 US Department of Transportation Bureau of Transportation Statistics Government Transportation Financial Statistics 2007

Constant dollar deflator US Department of Commerce Bureau of Economic Analysis National Income and Product Accounts Washington DC table 394 Chain-Type Price Index

Chapter 4Transportation Energy

and the Environment

Section AUS and Transportation Sector

Energy Consumption

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Domestic production totala 796 901 1130 1001 1017 1058 891 908 887 858 839 832 829 827 801 773 773 767 763 740 723 690 687Crude oilb 704 780 964 837 860 897 736 742 717 685 666 656 646 645 625 588 582 580 575 568 542 518 514Natural gas plant liquids 093 121 166 163 157 161 156 166 170 174 173 176 183 182 176 185 191 187 188 172 181 172 174Gross imports total 181 247 342 606 691 507 802 763 789 862 900 883 948 1016 1071 1085 1146 1187 1153 1226 1315 1371 1361Crude oilbc 102 124 132 410 526 320 589 578 608 679 706 723 751 823 871 873 907 933 914 966 1009 1013 1010Petroleum productsd 080 123 210 195 165 187 212 184 180 183 193 161 197 194 200 212 239 254 239 260 306 359 352Exports 020 019 026 021 054 078 086 100 095 100 094 095 098 100 094 094 104 097 098 101 105 116 133US net importse 161 228 316 585 636 429 716 663 694 762 805 789 850 916 976 991 1042 1090 1055 1124 1210 1255 1228US petroleum consumption 980 1151 1470 1632 1706 1573 1699 1671 1703 1724 1772 1772 1831 1862 1892 1952 1970 1965 1976 2003 2073 2080 2058By the transportation sector 514 604 778 895 955 984 1089 1076 1088 1112 1142 1167 1192 1210 1242 1276 1301 1294 1321 (R) 1332 (R) 1372 (R) 1394 1399Transportation petroleum use a percent of domestic petroleum production 645 670 688 894 939 930 1221 1186 1227 1296 1361 1402 1437 1463 1550 1651 1683 1687 1732 (R) 18000 (R) 18982 (R) 20216 20359Transportation petroleum use a percent of domestic petroleum consumption 524 524 529 548 560 626 641 644 639 645 644 658 651 650 657 654 660 658 668 (R) 6649 (R) 6618 (R) 6701 6798World petroleum consumption 2134 3114 4681 5620 6311 6009 6654 6712 6735 6744 6875 6990 7150 7331 7403 7579 7688 7766 7808 7974 8245 8402 UUS petroleum consumption as percent of world petroleum consumption 459 370 314 290 270 262 255 249 253 256 258 254 256 254 256 258 256 253 253 251 251 248 U

1960-65 Ibid Annual Energy Review 2000 DOEEIA-0384(2000) (Washington DC August 2001) table 119

1975-2006 Ibid Monthly Energy Review (Washington DC December 2006) tables 31a 31b and 17 Internet site httpwwweiadoegov as of Mar 30 2007

1970-2005 Ibid International Petroleum Monthly (Washington DC December 2006) table 46 Internet site httpwwweiadoegovipmdemandhtml as of Jan 10 2007

US petroleum consumption by transportation sector

Domestic production imports exports and US petroleum consumption1960-702006 US Department of Energy Energy Information Administration Annual Energy Review DOEEIA-0384(2000) (Washington DC August 2001) table 51

World petroleum consumption

KEY R = revised U = data are not available

a Includes crude oil and natural gas plant liquids This data series has been revised from 1975 forward to exclude the field production of other liquids including finished motor gasoline motor gasoline blending components and other hydrocarbons and oxygenates

1960-2006 Ibid Annual Energy Review 2006 DOEEIA-0384(2005) (Washington DC July 2007) table 513c Internet site httpwwweiadoegov as of Dec 19 2007

b Includes lease condensate

NOTE

Table 4-1 Overview of US Petroleum Production Imports Exports and Consumption (Million barrels per day)

SOURCES

c Includes imports for the Strategic Petroleum Reserve which began in 1977d Beginning in 1985 motor gasoline blending components and aviation gasoline blending components are includede Net imports is equal to imports minus exports

Numbers may not add to totals due to rounding

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Energy consumption total 4509 5402 6784 7200 7812 7649 8465 8461 8596 8760 8926 9117 9418 9477 9518 9682 9898 9633 9786 9821 10035 (R) 10051 (R) 9989Transportation 1056 1240 1606 1821 1966 2004 2237 2207 2236 2272 2331 2379 2438 2470 2520 2589 2649 2622 2679 2693 2782 (R) 2828 (R) 2876

Transportation as percent of total energy consumption

234 230 237 253 252 262 264 261 260 259 261 261 259 261 265 267 268 272 274 274 277 (R) 281 (R) 288

Industrial 1698 2012 2298 2145 2261 1947 2121 2085 2179 2178 2242 2275 2344 2372 2321 2299 2287 2184 2186 2158 2246 (R) 2147 (R) 2162Industrial as percent of total energy consumption

377 373 339 298 289 254 251 246 253 249 251 249 249 250 244 237 231 227 223 220 224 (R) 214 (R) 216

Residential and commercial 939 1048 1255 1203 1153 1086 1043 1071 1096 1114 1101 1101 1171 1130 1039 1079 1140 1092 1104 1149 1120 (R) 1100 (R) 992Residential and commercial as percent of total energy consumption

208 194 185 167 148 142 123 127 128 127 123 121 124 119 109 111 115 113 113 117 112 (R) 109 (R) 99

Energy input at electric utilities 816 1101 1610 2031 2433 2613 3066 3103 3089 3203 3256 3362 3464 3505 3639 3714 3821 3737 3817 3822 3888 3980 (R) 3959Energy input at electric utilities as percent of total energy consumption

181 204 237 282 311 342 362 367 359 366 365 369 368 370 382 384 386 388 390 389 387 396 (R) 396

Percentage of primary demand met by petroleumTransportation 960 957 953 967 967 972 967 969 969 967 965 (R) 970 (R) 970 (R) 968 (R) 974 (R) 974 (R) 975 (R) 975 (R) 974 (R) 977 (R) 978 (R) 978 (R) 977Industrial 354 353 355 380 421 398 390 383 394 386 392 379 386 392 393 409 399 422 422 428 (R) 440 (R) 451 (R) 454Residential and commercial 398 386 354 316 263 242 226 211 219 208 201 192 191 189 190 198 203 209 194 201 205 198 (R) 187Electric utilities 67 67 130 156 108 42 42 39 32 35 33 22 24 26 36 33 30 34 25 32 31 31 16

Table 4-2 US Consumption of Energy from Primary Sources by Sector (Quadrillion Btu)

1960-70 US Department of Energy Energy Information Administration Annual Energy Review 1990 DOEEIA-0394(90) (Washington DC May 1991) table 41975-2007 Ibid Monthly Energy Review DOEEIA-0035(200902) (Washington DC February 2009) tables 21 22 23 24 25 26 3-8a 3-8b and 38c available at httpwwweiadoegovemeumercontentshtml as of March 2009

Numbers may not add to totals due to rounding

SOURCES

The data for residential commercial and industrial sectors include only fossil fuels consumed directly Most renewable fuels are not included The data for the transportation sector includes only fossil and renewable fuels consumed directly The data for electric utilities includes all fuels (fossil nuclear geothermal hydro and other renewables) used by electric utilities Due to a lack of consistent monthly historical data some renewable energy resources are not included in this table The totals in table 4-4 are the best numbers for total US energy consumption from all sources

KEY Btu = British thermal unit R = revised

NOTES

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 (R) 2006 2007Total petroleum demand 1992 2326 2953 3273 3420 3092 3355 3285 3353 3384 3467 3455 3576 3627 3693 3796 3840 3833 3840 3905 4059 4039 3996 3982

Transportation 1013 1187 1531 1761 1901 1947 2162 2137 2167 2207 2260 2307 2365 2392 2454 2522 2582 2556 2608 2630 2721 2731 2756 2758Industrial 575 679 779 815 952 774 828 799 858 842 880 861 905 929 912 940 912 922 921 924 987 967 982 967Residential and commercial 349 387 431 380 304 262 236 229 228 223 221 212 224 213 197 213 232 228 214 231 230 218 193 191Electric utilities 055 073 212 317 263 109 129 120 099 112 106 075 082 093 131 121 114 128 096 120 121 124 065 066

Transportation as percent of total petroleum demand 509 510 518 538 556 630 645 651 646 652 652 668 661 659 664 664 672 667 679 673 670 676 690 693

1960-70 US Department of Energy Energy Information Administration Annual Energy Review 1997 DOEEIA-0384(97) (Washington DC July 1998) tables 21 512b and A3 1975-2007 Ibid Monthly Energy Review DOEEIA-0035(200605) (Washington DC March 2008) tables 13 22 23 24 25 26 and similar tables in earlier editions Internet site httpwwweiadoegov as of Apr 16 2008

SOURCES

Table 4-3 Domestic Demand for Refined Petroleum Products by Sector (Quadrillion Btu)

KEY Btu = British thermal unit R = revisedNOTETransportations share of US petroleum demand in this table differs slightly from table 4-1 because this table takes into account differences within sectors in the use of various grades of petroleum-based fuel that have different Btu content per unit volume

Section BTransportation Energy Consumption by Mode

Table 4-4 US Energy Consumption by the Transportation Sector (Quadrillion Btu)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Energy consumption (all sectors) (R)4509 5402 (R)6784 7200 (R)7812 (R)7649 (R)8465 (R)8461 (R)8596 (R)8760 (R)8926 (R)9117 (R)9417 (R)9477 (R)9518 (R)9682 9898 (R)9633 (R)9786 (R)9821 (R)10035 (R)10051 (R)9986 10160Total transportation consumptiona (R)1060 (R)1243 (R)1610 1824 1970 (R)2009 (R)2242 (R)2212 (R)2242 2277 2337 2385 2444 2475 2526 2595 2655 (R)2628 (R) 2685 (R) 2700 (R) 2790 (R) 2836 (R)2886 2910

Transportation as percent of total energy consumption (R)2350 (R)2302 (R)2373 2534 2521 (R)2626 (R)2648 (R)2614 (R)2608 (R)2599 (R)2618 (R)2616 (R)2595 (R)2612 (R)2654 (R)2680 2683 (R)2728 (R)2744 (R)2749 (R)2780 (R)2822 (R)2890 2864

Total primary consumptionb 1056 1240 (R)1606 1821 1966 (R)2004 (R)2237 (R)2207 (R)2236 2272 2331 2379 2438 2470 2520 2589 2649 (R)2622 (R)2679 (R)2693 (R)2782 (R)2828 (R)2878 (R)2901Coal (R)0075 (R)0016 0007 0001 f f f f f f f f f f f f f f f f f f f f

in million short tons (R)3046 (R)0655 0298 0024 f f f f f f f f f f f f f f f f f f f f

Natural gasc 036 052 (R)0745 059 065 052 068 062 061 064 071 072 074 078 067 068 067 066 070 063 060 062 (R)063 067in trillion cubic feet 035 050 072 058 063 050 066 060 059 063 069 070 072 076 064 066 065 064 068 061 059 061 (R)061 065

Petroleum productsd 1013 1187 1531 1761 1901 1947 2162 2137 2167 (R)2198 (R)2250 (R)2295 (R)2356 (R)2381 (R)2442 (R)2510 (R)2568 (R)2541 (R)2591 (R)2606 (R)2692 (R)2731 (R)2767 2772in million barrels 1880 2203 2839 3267 3494 3591 3974 3929 3982 4060 4167 4259 4363 4416 4533 4659 4762 4722 (R)4821 (R)4862 (R)5021 (R)5094 (R)5179 5207

Electricity 0010 0010 0011 0010 0011 0014 0016 0016 0016 0016 0017 0017 0017 0017 0017 0017 0018 0020 0019 0023 0025 0026 0025 0026Electrical system energy lossese 0026 0024 0026 0024 0027 0032 0037 0037 0037 0037 0038 0039 0038 0038 0038 0040 0042 0043 0042 0051 0055 0056 (R)0054 0057KEY Btu = British thermal unit E = estimated R = reviseda Sum of primary consumption electricity and electrical system energy losses categoriesb Sum of coal natural gas and petroleum categoriesc Consumed in the operation of pipelines primarily in compressors and small amounts consumed as vehicle fueld Includes most nonutility use of fossil fuels to produce electricity and small amounts (about 01 quadrillion Btu per year since 1990) of renewable energy in the form of ethanol blended into motor gasolinee Incurred in the generation transmission and distribution of electricity plus plant use and unaccounted for electrical system energy lossesf Beginning from 1980 small amounts of coal consumed for transportation are included in industrial sector consumption

NOTESEnergy consumption (all sectors) differs from totals in table 4-2 for 1990 and subsequent years

SOURCESEnergy consumption (all sectors) total transportation consumption and total primary consumption US Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21a available at httpwwweiadoegov as of September 2008CoalBtuUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008Short tons US Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 73 available at httpwwweiadoegov as of September 2008Natural gasBtu US Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008Cubic feet 1960-70 Ibid Annual Energy Review 2000 DOEEIA-0384 (2000) (Washington DC August 2001) table 651975-2007 Ibid Monthly Energy Review (Washington DC September 2008) table 43 available at httpwwweiadoegov as of September 2008 Petroleum productsBtuUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008BarrelsUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 513c available at httpwwweiadoegov as of September 2008 Electricity and electrical system energy lossesUS Department of Energy Energy Information Administration Annual Energy Review (Washington DC Annual issues) table 21e available at httpwwweiadoegov as of September 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AirCertificated carriersa

Jet fuel (million gallons) 1954 3889 7857 7558 8519 10115 12323 11506 11763 11959 12384 12672 13217 13563 13335 14402 14845 14017 12848 12959 13623 13789 13458General aviationb

Aviation gasoline (million gallons) 242 292 551 412 520 421 353 354 314 268 266 287 289 292 311 345 (R) 333 (R) 279 (R) 277 (R) 272 (R) 273 255 262Jet fuel (million gallons) N 56 208 453 766 691 663 577 494 454 464 560 608 642 815 967 972 (R) 918 (R) 938 (R) 932 (R) 1231 1255 1289

HighwayGasoline diesel and other fuels (million gallons)

Passenger car and motorcycle 41171 49723 67879 74253 70186 71700 69759 64501 65627 67246 68079 68268 69419 70094 71901 73495 73275 73752 75662 75646 (R) 75604 74085 UOther 2-axle 4-tire vehicle N e 12313 19081 23796 27363 35611 38217 40929 42851 44112 45605 47354 49388 50462 52859 52939 53522 55220 60758 (R) 63417 65419 USingle-unit 2-axle 6-tire or more truck N 13848 3968 5420 6923 7399 8357 8172 8237 8488 9032 9216 9409 9576 6817 9372 9563 9667 10321 8880 (R) 8959 9042 UCombination truck N 6658 7348 9177 13037 14005 16133 16809 17216 17748 18653 19777 20193 20302 25158 24537 25666 25512 26480 23815 (R) 24191 24411 UBus 827 875 820 1053 1018 834 895 864 878 929 964 968 990 1027 1040 1148 1112 1026 1000 969 (R) 1360 1329 U

Transitc

Electricity (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 UMotor fuel (million gallons)

Diesel 208 248 271 365 431 609 651 665 685 679 678 678 693 717 740 763 786 745 725 713 731 730 UGasoline and other nondiesel fuelsd 192 124 68 8 11 46 34 34 37 46 60 61 61 59 53 49 48 46 57 46 53 58 UCompressed natural gas N N N N N N N N 1 2 5 11 15 24 37 44 55 66 81 100 112 123 U

Rail Class I (in freight service)Distillate diesel fuel (million gallons) 3463 3592 3545 3657 3904 3110 3115 2906 3005 3088 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 UAmtrakElectricity (million kWh) N N N 180 254 295 330 303 300 301 309 304 293 282 275 283 350 377 U U U U UDistillate diesel fuel (million gallons) N N N 63 64 65 82 82 82 83 75 66 71 75 75 74 76 75 U U U U UWater Residual fuel oil (million gallons) 3952 3093 3774 4060 8952 4590 6326 6773 6563 5282 5386 5886 5701 5010 5620 5838 6410 5409 4848 3874 4690 5179 UDistillate diesel fuel oil (million gallons) 787 652 819 1098 1478 1699 2065 2046 2219 2155 2189 2339 2491 2574 2595 2419 2261 2044 2079 2217 2140 2006 UGasoline (million gallons) N N 598 730 1052 1053 1300 1710 1316 874 876 1060 994 987 956 1098 1124 994 1081 1107 1005 1261 UPipelineNatural gas (million cubic feet) 347075 500524 722166 582963 634622 503766 659816 601305 587710 624308 685362 700335 711446 751470 635477 645319 642210 624964 666920 591492 (R) 566187 584779 U

b Includes fuel used in air taxi operations but not commuter operations Data for 1996 are estimated using new information on nonrespondents and are therefore not comparable to earlier years See the accuracy statement in the appendix for more detailed informationc Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and small systemsd Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except compressed natural gase Included in single-unit 2-axle 6-tire or more truck category

Table 4-5 Fuel Consumption by Mode of Transportation in Physical Units

KEY kWh = kilowatt-hour N = data do not exist R = revised U = data are not available

a Domestic operations only

1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 912

SOURCES

Water

AirCertificated air carriers1960-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Fuel Cost and Consumption Internet site httpwwwbtsgovprogramsairline_information as of Sept 4 2007General aviation

1975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions

1994-2006 Ibid FAA Aerospace Forecasts Fiscal Years 2007-2020 (Washington DC Dec 2007) table 34 and similar tables in earlier editionsHighway1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of August 2001)1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1TransitElectricity motor fuel compressed natural gas1960-2005 American Public Transportation Association 2007 Public Transportation Fact Book (Washington DC April 2007) tables 26 27 28 and similar tables in earlier editions

1970-2005 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editions

Gasoline

Pipeline1960-2005 US Department of Energy Natural Gas Annual 2005 DOEEIA-0131(04) (Washington DC Nov 2006) table 15 and similar tables in earlier editions

Rail1960-2005 Association of American Railroads Railroad Facts (Washington DC 2005) p 40Amtrak1975-2001 Amtrak Energy Management Department personal communication

Residual and distillate diesel fuel oil1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 12a1985-2004 US Department of Energy Energy Information Administration Fuel Oil and Kerosene Sales (Washington DC Annual issues) tables 2 4 and similar tables in earlier editions

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004AirCertificated carriersa

Jet fuel 264 525 1061 1020 1150 1366 1664 1553 1588 1614 1672 1711 1784 1831 1800 1944 (R) 2007 (R) 1872 (R) 1744 (R) 1766 (R) 1902General aviationb

Aviation gasoline 29 35 66 50 63 51 42 43 38 32 32 35 35 35 37 42 40 (R)34 33 (R)33 (R)33Jet fuel N 8 28 61 103 93 90 78 67 61 63 76 82 87 110 131 131 (R)124 (R)127 (R)126 (R)166

HighwayGasoline diesel and other fuels

Passenger car and motorcycle 5146 6215 8485 9282 8773 8963 8720 8063 8203 8406 8510 8534 8677 8762 8988 9187 9159 9219 9458 9456 (R)9451Other 2-axle 4-tire vehicle N e 1539 2385 2975 3420 4451 4777 5116 5356 5514 5701 5919 6173 6308 6607 6617 6690 6903 7595 (R)7927Single-unit 2-axle 6-tire or more truck N 1921 550 752 960 1026 1159 1133 1142 1177 1253 1278 1305 1328 946 1300 1326 1341 1290 1110 (R)1120Combination truck N 923 1019 1273 1808 1942 2238 2331 2388 2462 2587 2743 2801 2816 3489 3403 3560 3538 3673 3303 (R)3355Bus 115 121 114 146 141 116 124 120 122 129 134 134 137 142 144 159 154 142 139 134 (R)189

Transitc

Electricity 10 9 9 9 8 14 17 17 16 17 17 17 17 17 17 18 19 19 19 19 20Motor fuel

Diesel 29 34 38 51 60 84 90 92 95 94 94 94 96 99 103 106 109 103 100 99 101Gasoline and other nondiesel fuelsd 24 16 9 1 1 6 4 4 5 6 8 8 8 7 7 6 6 6 6 6 7Compressed natural gas N N N N N N N N lt1 lt1 1 1 2 3 5 6 8 9 11 14 16

Rail Class I (in freight service)Distillate diesel fuel 480 498 492 507 541 431 432 403 417 428 462 483 496 496 497 515 513 515 517 531 563AmtrakElectricity N N N 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 U U UDistillate diesel fuel N N N 9 9 9 11 11 11 12 10 9 10 10 10 10 11 10 U U UWater Residual fuel oil 592 463 565 608 1340 687 947 1014 983 791 806 881 853 750 841 874 960 810 726 580 702Distillate diesel fuel oil 109 90 114 152 205 236 286 284 308 299 304 324 345 357 360 336 314 284 288 307 297Gasoline N N 75 91 132 132 163 214 165 109 109 133 124 123 120 137 141 124 135 138 126PipelineNatural gas 358 516 745 601 654 519 680 620 606 644 707 722 734 775 655 665 662 644 688 610 (R)584

c Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and smaller systemsd Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except compressed natural gas

Table 4-6 Energy Consumption by Mode of Transportation (Trillion Btu)

a Domestic operations onlyb Includes fuel used in air taxi operations but not commuter operations

e Included in other single-unit 2-axle 6-tire or more truck category

KEY Btu = British thermal unit N = data do not exist R = revised U = data are unavailable

Natural gas = 1031 Btuft3

Jet fuel = 135000 Btugallon

Aviation gasoline = 120200 Btugallon

Automotive gasoline = 125000 Btugallon

Diesel motor fuel = 138700 Btugallon

Compressed natural gas = 138700 Btugallon

Distillate fuel = 138700 Btugallon

Residual fuel = 149700 Btugallon

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstatht1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

NOTES

General aviation

The following conversion rates were used

SOURCES

Residual and distillate diesel fuel oil

1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 12a1985-2006 US Department of Energy Energy Information Administration Fuel Oil and Kerosene Sales (Washington DC Annual issues) tables 2 4 and similar tables in earlier editions

Association of American Railroads Railroad Facts (Washington DC Annual issues)Amtrak1975-2001 Amtrak Energy Management Department personal communicationWater

AirCertificated air carriers

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Fuel Cost and Consumption available at httpwwwbtsgovprogramsairline_information as of August

Electricity 1kWh = 3412 Btu negating electrical system losses To include approximate electrical system losses multiply this conversion factor by 3

1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 9121975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions1994-2006 Ibid FAA Aerospace Forecasts Fiscal Years 2007-2018 (Washington DC Dec 2005) table 34 and similar tables in earlier editionsHighway

TransitElectricity motor fuel compressed natural gasAmerican Public Transportation Association Public Transportation Fact Book (Washington DC Annual issues) tables 27 28 29 and similar tables in earlier editions Rail

Gasoline1970-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editionsPipelineUS Department of Energy Natural Gas Annual DOEEIA-0131(04) (Washington DC Annual issues) table 15 and similar tables in earlier editions

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL demand 60761 71187 89601 102996 104838 107550 113606 112222 114883 116579 118717 120253 122595 124235 127978 131781 131891 133740 137260 138608 141182 139989 139681Highway 55429 66979 85598 99354 101183 103545 109529 107913 110974 113668 115682 117061 119515 120938 124694 128743 128884 129682 132955 134091 136455 135176 134836Nonhighway total 5332 4208 4003 3642 3655 4005 4076 4309 3908 2911 3035 3192 3081 3297 3284 3038 3007 4058 4305 4517 4727 4813 4845

Agriculture 2292 1963 1932 1565 1059 1081 681 779 806 846 912 927 918 984 907 703 652 802 832 853 1094 1078 1229Aviationa 1324 501 393 410 413 382 361 339 344 340 364 367 344 335 351 322 296 356 342 305 310 334 346Marine 61 96 598 730 1052 1053 1300 1710 1319 874 897 1060 994 987 956 1098 1124 994 1081 1107 1005 1261 1237Otherb 1656 1647 1080 938 1131 1490 1733 1482 1439 850 862 838 825 990 1070 915 934 1907 2051 2252 2317 2140 2033

NOTE

SOURCESHighway

Table 4-7 Domestic Demand for Gasoline (Million gallons) by Mode

1960-2007 Ibid Highway Statistics (Washington DC Annual issues) table MF-24 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table MF-21 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009Nonhighway

b Includes state county and municipal use industrial and commercial use construction use and miscellaneous

a Does not include aviation jet fuel

1960-94 US Department of Transportation Federal Highway Administration Highway Statististics Summary to 1995 (Washington DC 1996) table MF-221 available at wwwfhwadotgovpolicyohpi as of Mar 13 2009

All nonhighway uses of gasoline were estimated by the US Department of Transportation Federal Highway Administration

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number of aircraft 2135 2125 2679 2495 3808 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 U UAverage miles flown per aircraft (thousands) 487 667 949 932 768 740 776 770 669 701 727 759 783 791 768 797 862 802 835 899 969 1003 U UAircraft-miles (millions)Domestic operations 858 1134 2068 1948 2523 3046 3963 3854 3995 4157 4380 4629 4811 4911 5035 5332 5664 5548 5616 6085 6552 6714 (R) 6625 6726International operations 182 284 475 377 401 415 760 807 904 961 980 998 1043 1114 1192 1225 1282 1266 1225 1262 1384 1536 (R) 1589 1681Fuel consumption (million gallons)Domestic operations 1954 3889 7857 7558 8519 10115 12323 11506 11763 11959 12384 12672 13217 13563 13335 14402 (R) 14865 (R) 13868 (R) 12926 (R) 13082 (R) 14091 (R) 13962 (R) 13582 13556International operations 566 1280 2243 1949 1747 2488 3909 3940 4120 4113 4279 4443 4618 4915 4923 5250 (R) 5508 (R) 5336 (R) 5075 (R) 5219 (R) 5592 (R) 5974 (R) 6018 6204Aircraft-miles flown per gallonDomestic operations 044 029 026 026 030 030 032 033 034 035 035 037 036 036 038 037 (R) 038 (R) 040 (R) 043 (R) 047 (R) 046 (R) 048 (R) 049 050International operations 032 022 021 019 023 017 019 020 022 023 023 022 023 023 024 023 (R) 023 (R) 024 (R) 024 (R) 024 (R) 025 (R) 026 (R) 026 027

2002-07 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues January) pp 3 and 4 line 25 plus line 46Fuel consumption1960-70 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovprogramsoaifuelfuelyearlyhtml as of June 25 20041980-2007 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Jun 26 2008

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III tables 2 and 131965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III tables 2 and 131975-80 Ibid Air Carrier Traffic Statistics (Washington DC December 1976) pp 4 and 14 and (December 1981) pp 2 and 31985-2001 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues December) pp 2 and 3 line 27 plus line 50

1980-85 Ibid FAA Statistical Handbook of Aviation Calendar Year 1986 (Washington DC 1986) table 511990-97 Ibid FAA Statistical Handbook of Aviation Calendar Year 1997 (Washington DC unpublished) personal communication Mar 19 19991998-2005 Aerospace Industries Association Aerospace Facts and Figures (Washington DC Annual Issues) Active US Air Carrier Fleet p 90 and similar pages in earlier editionsAircraft-miles flown

SOURCESNumber of aircraft1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1970 edition (Washington DC 1970) table 531970-75 Ibid FAA Statistical Handbook of Aviation Calendar Year 1979 (Washington DC 1979) table 51

a Aircraft operating under 14 CFR 121 and 14 CFR 135

KEY R = revised U = data are unavailable

Table 4-8 Certificated Air Carrier Fuel Consumption and Travela

Table 4-9 Motor Vehicle Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Vehicles registered (thousands)a 73858 90358 111242 137913 161490 177133 193057 192314 194427 198041 201802 205427 210441 211580 215496 220461 225821 235331 234624 236760 237243 247421 (R) 250845 254403Vehicle-miles traveled (millions) 718762 887812 1109724 1327664 1527295 1774826 2144362 2172050 2247151 2296378 2357588 2422696 2485848 2561695 2631522 2691056 2746925 2797287 2855508 2890450 2964788 2989430 (R) 3014371 3029822Fuel consumed (million gallons) 57880 71104 92329 108984 114960 121301 130755 128563 132888 137262 140839 143834 147365 150386 155379 161411 162554 163478 168682 170069 178536 174787 174930 176106Average miles traveled per vehicle (thousands) 97 98 100 96 95 100 111 113 116 116 117 118 118 121 122 122 122 119 122 122 125 12 120 119Average miles traveled per gallon 124 125 120 122 133 146 164 169 169 167 167 168 169 170 169 167 169 171 169 170 166 17 172 172Average fuel consumed per vehicle (gallons) 784 787 830 790 712 685 677 669 683 693 698 700 700 711 721 732 720 695 719 718 753 706 697 692KEY R = revised

a Includes personal passenger vehicles buses trucks and motorcycles

NOTESee tables 4-11 4-12 4-13 4-14 and 4-15 for individual highway vehicles

SOURCES 1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 20091995-2007 Ibid Highway Statistics (Washington DC Annual issues) tables MF-21 MV-1 and VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL fuel consumptiona 134230631 135912964 140718522 144774683 148180046 151597859 156838150 161210087 163032407 165201691 169983219 (R) 177697941 (R) 180698532 (R) 182185778 184810803Alternative fuels total 229631 293334 281152 276643 295616 312589 323790 302287 322037 348421 378589 (R) 402941 (R) 428532 (R) 420778 417803

Liquefied petroleum gases 208142 264655 248467 232701 239158 238356 241386 209817 212576 215876 223143 224697 211883 188171 173130Compressed natural gas 16823 21603 24160 35162 46923 65192 72412 79620 86475 104496 120670 133222 158903 166878 172011Liquefied natural gas 585 1901 2345 2759 3247 3714 5343 5828 7259 8921 9382 13503 20888 22409 23474Methanol 85b 1069 1593 2340 2023 1775 1554 1212 1073 585 439 337 N N N NMethanol neat 2547 3166 3190 2150 347 347 449 447 0 0 0 0 0 N NEthanol 85b 21 48 80 190 694 1280 1727 3916 12071 14623 17783 26376 31581 38074 44041Ethanol 95b 85 80 140 995 2699 1136 59 62 13 0 0 0 0 0 NElectricityc 359 288 430 663 773 1010 1202 1524 3058 4066 7274 5141 5269 5219 5104Hydrogen N N N N N N N N N N N 2 8 25 41Other Fuels N N N N N N N N N N N 0 0 2 2

Biodiesel N N N N N N N N 6816 7076 16917 (R) 18220 (R) 28244 (R) 91649 260606Oxygenates

Methyl-tertiary-butyl-etherd 1175000 2069200 2018800 2691200 2749700 3104200 2903400 3402600 3296100 3352200 2383000 2368400 1877300 1654500 435000Ethanol in gasohol 701000 760000 845900 910700 660200 830700 889500 950300 1085800 1143300 1413600 1919572 2414167 2756663 3729168

Traditional fuels total 134001000 135619630 140437370 144498040 147884430 151285270 156514360 160907800 162710370 164853270 169604630 177295000 180270000 181765000 184393000Gasolinee 110135000 111323000 113144000 115943000 117783000 119336000 122849000 125111000 125720000 127768000 131299000 135330000 138283000 138723000 140146000Dieself 23866000 24296630 27293370 28555040 30101430 31949270 33665360 35796800 36990370 37085270 38305630 41965000 41987000 43042000 44247000

Numbers may not add to totals due to rounding

SOURCE

KEY N = data do not exist R = revised

a Total fuel consumption is the sum of alternative fuels gasoline and diesel Oxygenate consumption is included in gasoline consumption

Table 4-10 Estimated Consumption of Alternative and Replacement Fuels for Highway Vehicles (Thousand gasoline-equivalent gallons)

US Department of Energy Energy Information Administration Alternatives to Traditional Transportation Fuels 2006 available at httpwwweiadoegovcneafalternatepageatftablesafvtransfuel_IIhtml table C-1 as of December 2008

b The remaining portion of 85 methanol 85 ethanol and 95 ethanol fuels is gasoline Consumption data include the gasoline portion of the fuelc Excludes gasoline-electric hybridsd Includes a very small amount of other ethers primarily tertiary-amyl-methyl-ether and ethyl-tertiary-butyl-ether e Gasoline consumption includes ethanol in gasohol and methyl-tertiary-butyl-etherf Diesel includes biodiesel

NOTES

Beginning with 2003 data the methodology used to develop the estimates of alternative fueled vehicles (AFVs) in use and alternate transportation fuel consumption were changed The data reflect this new methodology

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Vehicles registered (thousands)Passenger cars 61671 75258 89244 106706 121601 127885 133700 128300 126581 127327 127883 128387 129728 129749 131839 132432 133621 137633 135921 135670 136431 136568 135400Motorcycles 574 1382 2824 4964 5694 5444 4259 4177 4065 3978 3757 3897 3872 3826 3879 4152 4346 4903 5004 5370 5768 6227 (R) 6679Vehicle-miles traveled (millions)Passenger carsa 587000 723000 917000 1034000 1112000 1247000 1408000 1358000 1372000 1375000 1406000 1438000 1469854 1502556 1549577 1569100 1600287 1628332 1658474 1672079 1699890 1708421 (R) 1690534Motorcycles U U 3000 5600 10200 9100 9600 9200 9600 9900 10200 9800 9920 10081 10283 10584 10469 9639 9552 9577 10122 10454 (R) 12049Fuel consumed (million gallons)Passenger carsa 41171 49723 67819 74140 69982 71518 69568 64317 65436 67048 67874 68072 69221 69892 71695 73283 73065 73559 75471 75455 75402 77418 (R) 75009Motorcycles U U 60 113 204 182 191 184 191 198 205 196 198 202 206 212 209 193 191 192 202 189 221Average miles traveled per vehicle (thousands)Passenger carsa 95 96 103 97 91 98 105 106 108 108 110 112 113 116 118 118 120 12 122 123 125 125 125Motorcycles U U 11 11 18 17 23 22 24 25 27 25 26 26 27 25 24 2 19 18 18 17 18Average miles traveled per gallonPassenger carsa 143 145 135 139 159 174 202 211 210 205 207 211 212 215 216 214 219 221 220 222 225 221 225Motorcycles U U 500 496 500 500 503 500 503 500 498 500 500 500 500 500 500 499 500 500 500 553 (R) 545Average fuel consumed per vehicle (gallons)Passenger carsa 668 661 760 695 576 559 520 501 517 527 531 530 534 539 544 553 547 534 555 556 553 567 554Motorcycles U U 21 23 36 33 45 44 47 50 55 50 51 53 53 51 48 39 38 36 35 30 33

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1960-65 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

KEY R = revised U = data are not available

a 1960 and 1965 data include motorcycles

NOTES

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009All other categories

1970-94 Calculated based on data from US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Table 4-11 Passenger Car and Motorcycle Fuel Consumption and Travel

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Number registered

See table 4-12 for other 2-axle 4-tire vehicles

SOURCES

Average miles traveled per vehicle average miles traveled per gallon and average fuel consumed per vehicle are derived by calculation

Table 4-12 Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

Number registered (thousands) 14211 20418 27876 37214 48275 53033 57091 59994 62904 65738 69134 70224 71330 75356 79085 84188 85011 87187 91845 95337 99125 101470Vehicle-miles traveled (millions) 123000 201000 291000 391000 575000 649000 707000 746000 765000 790000 816540 850739 868275 901022 923059 943207 966034 984094 1027164 1041051 (R) 1082490 1111277Fuel consumed (million gallons) 12313 19081 23796 27363 35611 38217 40929 42851 44112 45605 47354 49388 50462 52859 52939 53522 55220 60758 63417 58869 (R) 60685 61816Average miles traveled per vehicle (thousands) 87 98 104 105 119 122 124 124 122 120 118 121 122 120 117 112 114 113 112 109 (R) 109 110Average miles traveled per gallon 100 105 122 143 161 170 173 174 173 173 172 172 172 170 174 176 175 162 162 177 (R) 178 180Average fuel consumed per vehicle (gallons) 866 935 854 735 738 721 717 714 701 694 685 703 707 701 669 636 650 697 690 617 612 609KEY R = revised

NOTESNearly all vehicles in this category are light trucks which include vans pickup trucks and sport utility vehicles In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data They are passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Prior to 1993 some minivans and sport utility vehicles were included under the passenger car category

SOURCES

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 20091995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Table 4-13 Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travela

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number registered (thousands) 3681 4232 4374 4593 4487 4481 4370 4408 4906 5024 5266 5293 5735 5763 5926 5704 5651 5849 6161 6395 6649 6807 Vehicle-miles (millions) 27100 34600 39800 45400 51900 52900 53900 56800 61300 62705 64072 66893 68021 70304 70500 72448 75866 77757 78441 78496 (R) 80344 81954 Fuel consumed (million gallons) 3968 5420 6923 7399 8357 8172 8237 8488 9032 9216 9409 9576 6817 9372 9563 9667 10321 8880 8959 9501 (R) 9852 10035 Average miles traveled per vehicle (thousands) 74 82 91 99 116 118 123 129 125 125 122 126 119 122 119 127 134 133 127 123 121 120Average miles traveled per gallon 68 64 57 61 62 65 65 67 68 68 68 70 100 75 74 75 74 88 88 83 82 82Average fuel consumed per vehicle (gallons) 1078 1281 1583 1611 1862 1824 1885 1926 1841 1835 1787 1809 1189 1626 1614 1695 1826 1518 1454 1486 (R) 1482 1474KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of single-unit 2-axle 6-tire or more trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

NOTES In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data to include passenger cars other 2-axle 4-tire vehicles single-unit 2-axle 6-tire or more trucks and combination trucks Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the most appropriate category

SOURCES 1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009 1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 787 905 1131 1417 1403 1709 1691 1675 1680 1682 1696 1747 1790 1997 2029 2097 2154 2277 1908 2010 2087 2170Vehicle-miles traveled (millions) 31700 35100 46700 68700 78100 94300 96600 99500 103100 108900 115500 118899 124584 128359 132384 135020 136584 138737 140160 142370 (R) 144028 142706Fuel consumed (million gallons) 6658 7348 9177 13037 14005 16133 16809 17216 17748 18653 19777 20193 20302 25158 24537 25666 25512 26480 23815 24191 (R) 27689 28075Average miles traveled per vehicle (thousands) 403 388 413 485 557 552 571 594 614 648 681 681 696 643 653 644 634 609 734 708 (R) 690 658Average miles traveled per gallon 48 48 51 53 56 58 57 58 58 58 58 59 61 51 54 53 54 52 59 59 (R) 52 51Average fuel consumed per vehicle (gallons) 8465 8119 8116 9201 9980 9441 9938 10276 10562 11093 11663 11561 11342 12596 12096 12241 11843 11631 12479 120333 (R) 13269 12940

SOURCES 1965-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-14 Combination Truck Fuel Consumption and Travela

KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of combination trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 272 314 378 462 529 593 627 631 645 654 670 686 695 698 716 729 746 750 761 777 795 807 822Vehicle-miles traveled (millions) 4300 4700 4500 6100 6100 4500 5700 5800 5800 6100 6400 6400 6563 6842 7007 7662 7590 7077 6845 6783 6801 6980 (R) 6783Fuel consumed (million gallons) 827 875 820 1053 1018 834 895 864 878 929 964 968 990 1027 1040 1148 1112 1026 1000 969 1360 1120 (R) 1148Average miles traveled per vehicle (thousands) 158 150 119 132 115 76 91 92 90 93 95 93 94 98 98 105 102 94 90 87 86 86 (R) 83Average miles traveled per gallon 52 54 55 58 60 54 64 67 66 66 66 66 66 67 67 67 68 69 68 70 50 62 (R) 59Average fuel consumed per vehicle (gallons) 3039 2784 2172 2278 1925 1405 1427 1369 1362 1420 1438 1412 1425 1472 1454 1576 1490 1369 1314 1248 1710 1388 (R) 1397

1995-2007 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

Table 4-15 Bus Fuel Consumption and Travel

NOTEIncludes both publicly and privately owned school transit and other commercial buses

SOURCES1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A available at wwwfhwadotgovpolicyohpi as of Mar 23 2009

KEY R = revised

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number of vehicles (thousands) 65 62 61 62 75 94 93 97 103 108 116 116 123 126 124 129 131 135 135 138 144 (R) 151 (P) 155Vehicle-miles traveled (millions) 2143 2008 1883 2176 2287 2791 3242 3306 3355 3435 3468 3550 3650 3746 3794 3972 4081 4196 4277 4363 4471 4601 4684Electric power consumed (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 5952Primary energy consumed (thousand gallons)Diesel 208100 248400 270600 365060 431400 608738 651030 665158 684944 678511 678226 678286 692714 716952 739621 763369 786025 744663 724535 712747 730706 729918 735100Gasoline and other nondiesel fuelsb 191900 124200 68200 7576 11400 45704 33906 34467 37179 45672 60003 60730 61213 59463 52615 48694 48284 45873 51150 46294 52907 58120 75000Compressed natural gas N N N N N N N N 1009 1579 4835 10740 15092 23906 37268 44398 54794 66215 81051 100071 111810 123053 146600

Table 4-16 Transit Industry Electric Power and Primary Energy Consumptiona and Travel

KEY kWh = kilowatt hour N = data do not exist R = revised P = preliminary

SOURCEAmerican Public Transportation Association 2008 Public Transportation Fact Book (Washington DC Annual issues) tables 10 15 27 28 29 and similar tables in earlier editions available at httpwwwaptacom as of December 2008

a Prior to 1984 the data in this table include the energy consumption of bus heavy rail light rail and trolley bus Commuter rail automated guideway urban ferryboat demand responsive vehicles and most rural and smaller systems are excluded from the data during this periodb Other nondiesel fuels includes consumption of propane (liquid petroleum gas) for years prior to 1984 For 1984 and after other nondiesel fuels includes propane (liquid petroleum gas) liquefied natural gas and other (biosoy fuel biodiesel hydrogen methanol ethanol and various blends) Therefore the data prior to 1984 are not comparable to the data for 1984 and after

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number in useLocomotivesa 29031 27780 27077 27846 28094 22548 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Carsb 1965486 1800662 1784181 1723605 1710827 1421686 1212261 1189660 1173136 1173132 1192412 1218927 1240573 1270419 1315667 1368836 1380796 1314136 1299670 1278980 1287920 1312245 1346507Miles traveled (millions)Freight train-milesc 404 421 427 403 428 347 380 375 390 405 441 458 469 475 475 490 504 500 500 516 535 548 563Locomotive unit-miles N N N 1479 1531 1228 1280 1238 1278 1320 1405 1445 1465 1423 1440 1504 1503 1478 1444 (R) 1484 1538 (R) 1588 1660Car-miles 28170 29336 29890 27656 29277 24920 26159 25628 26128 26883 28485 30383 31715 31660 32657 33851 34590 34243 34680 35555 37071 37712 38955Average miles traveled per vehicle (thousands)Locomotives N N N 531 545 545 680 675 710 727 759 768 760 723 711 742 750 748 704 714 699 (R) 697 699Cars 143 163 168 160 171 175 216 215 223 229 239 249 256 249 248 247 251 261 267 278 288 287 289Average miles traveled per gallonTrains 012 012 012 011 011 011 012 013 013 013 013 013 013 013 013 013 014 013 013 013 013 013 013Cars 813 817 843 756 750 801 840 882 869 871 854 873 886 886 911 911 935 923 930 929 913 920 929Fuel consumed (million gallons) 3463 3592 3545 3657 3904 3110 3115 2906 3005 3088 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 4192Average fuel consumed per locomotivea (thousand gallons) 1193 1293 1309 1313 1390 1379 1654 1584 1669 1700 1802 1850 1857 1816 1768 1834 1847 1879 1819 1842 1844 1799 1766

c Based on the distance run between terminals and or stations does not include yard or passenger train-miles

2006 Association of American Railroads personal communication Apr 24 20082005 Association of American Railroads personal communication June 13 2007

1975-92 2002 Ibid Railroad Ten-Year Trends (Washington DC Annual issues)1993-2001 2003-04 Ibid Analysis of Class I Railroads (Washington DC Annual issues)

Table 4-17 Class I Rail Freight Fuel Consumption and Travel

KEY N = data do not exist

Locomotive unit-milesAssociation of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 33 34 40 49 and 51 and similar tables in earlier editions

SOURCESAll data except for locomotive unit-miles

a For 1960-80 the total includes a small number of steam and electric units which are not included in the per locomotive fuel consumption figureb Includes cars owned by Class I railroads other railroads car companies and shippers

Table 4-18 Amtrak Fuel Consumption and Travel 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Number in useLocomotives 355 419 291 318 316 336 360 338 313 299 332 345 329 378 401 372 442 276 258 319Cars 1913 2128 1854 1863 1786 1796 1853 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186 1191

Miles traveled (millions)Train-miles 30 30 30 33 34 34 35 34 32 30 32 33 34 35 36 38 37 37 36 36Car-miles 253 235 251 301 313 307 303 304 292 276 288 312 342 368 378 379 332 308 265 264

Locomotive fuel consumedElectric (million of kWh hours) 180 254 295 330 303 300 301 309 304 293 282 275 283 350 U U U U U UDiesel (million gallons) 63 64 65 82 82 82 83 75 66 71 75 75 74 76 U U U U U U

Average miles traveled per car (thousands) 132 110 135 162 175 171 164 164 170 160 167 159 172 194 181 131 204 255 223 222KEY kWh = kilowatt hour U = data are not available

SOURCESNumber of locomotives and cars1975ndash80 Amtrak State and Local Affairs Department personal communication1985ndash2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2001ndash06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in earlier editionsMiles traveledTrain-miles 1975ndash2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003ndash06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in earlier editionsCar-miles1975 Association of American Railroads Yearbook of Railroad Facts 1975 (Washington DC 1976) p 401980ndash85 Amtrak State and Local Affairs Department and Public Affairs Department personal communication 1990ndash2000 Ibid Amtrak Corporate Reporting Route Profitability System personal communication Aug 22 20012001ndash06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar pages in earlier editionsLocomotive fuel consumed1975ndash2000 Amtrak State and Local Affairs Department personal communication

Table 4-19 US Government Energy Consumption by Agency and Source (Trillion Btu)Petroleum

Motor gasoline Fuel oil

Jet fuel and aviation gas Otherc Total Electricity Natural gas

Coal and otherd Total

FY 1997 total 267 1624 5132 216 7240 1829 1571 422 11061Agriculture 43 04 01 02 50 20 15 03 89Defense 33 1489 5048 03 6704 1013 979 300 8996Energy 10 17 03 133 34 175 166 69 444GSA 01 02 00 00 03 92 34 15 143Health and Human Services 00 16 01 01 17 25 24 00 66Interior 08 07 00 06 17 14 13 01 50Justice 27 05 13 00 40 35 43 03 121NASA 01 05 10 00 16 68 30 02 118Postal Service 123 28 00 00 160 152 74 05 382Transportation 05 10 48 69 132 50 14 01 197Veterans Affairs 06 13 00 00 19 91 142 15 268Othera 11 29 09 01 50 94 36 07 187

FY 2006 total (R) 478 2078 (R) 4432 47 (R) 7035 (R) 1949 (R) 1320 (R) 412 (R) 10715Agriculture 22 04 00 02 29 20 17 (R) 03 68Defense 173 1913 (R) 4364 22 6472 1017 686 (R) 262 8437Energy 08 (R) 15 01 02 (R) 26 (R) 167 (R) 60 (R) 76 (R) 329GSA 00 01 00 00 02 99 64 (R) 17 (R) 182Health and Human Services 03 04 00 01 08 29 51 (R) 04 93Interior 21 12 01 10 44 23 13 (R) 01 81Justice 47 10 02 01 59 61 107 (R) 08 235NASA (R) 01 04 (R) 07 01 (R) 13 (R) 54 (R) 29 (R) 06 (R) 102Postal Service 134 (R) 28 00 02 (R) 165 (R) 250 (R) 98 (R) 05 (R) 518Transportation 04 02 05 00 12 27 07 (R) 01 46Veterans Affairs 08 12 00 00 20 104 151 (R) 18 293Otherb 56 72 (R) 52 05 185 (R) 99 38 (R) 10 (R) 332

FY 2007P total 474 2232 4615 66 7388 1938 1308 370 11004Agriculture 21 05 01 03 30 19 16 02 68Defense 178 1941 4557 31 6706 1012 695 233 8646Energy 07 16 00 04 27 173 62 62 323GSA 00 01 00 00 02 100 72 17 191Health and Human Services 09 06 00 01 17 33 51 04 106Interior 20 11 00 09 41 21 12 01 75Justice 37 121 01 10 169 60 105 08 342NASA 01 04 10 01 16 55 27 08 106Postal Service 129 31 00 04 165 225 65 04 458Transportation 04 06 05 00 15 32 08 00 56Veterans Affairs 08 12 00 00 20 107 155 19 301Otherb

59 79 41 02 181 101 40 10 332KEY Btu = British thermal unit FY = fiscal year GSA = General Services Administration NASA = National Aeronautics and Space Administration R = Revised P = preliminary

a Includes US Department of Commerce Panama Canal Commission Tennessee Valley Authority US Department of Labor National Science Foundation US Department of Housing and Urban Development Federal Communications Commission Office of Personnel Management US Department of State US Department of the Treasury Small Business Administration and Environmental Protection Agency

b Includes National Archives and Records Administration US Department of Commerce Tennessee Valley AuthorityUS Department of Labor National Science Foundation Federal Trade Commission Federal Communications Commission Environmental Protection Agency US Department of Homeland Security US Department of Housing and Urban Development Railroad Retirement Board Equal Employment Opportunity Commission Nuclear Regulatory Commission US Department of State US Department of the Treasury Office of Personnel Management Consumer Product Safety Commission Central Intelligence Agency Social Security Administration and US information Agency (International Broadcasting Bureau) c Includes liquefied petroleum gasesd Includes purchased steam chilled water from district heating and cooling systems and any other energy type such as renewable energy

NOTESNumbers may not add to totals due to roundingThese data include energy consumed at foreign installations and in foreign operations including aviation and ocean bunkering primarily by the US Department of Defense US government energy use for electricity generation and uranium enrichment is excluded Other energy used by US agencies that produce electricity or enriched uranium is included The US governments fiscal year runs from October 1 through September 30 Data in this table are prepared using the following conversion factors - electricity 3412 Btukilowatt-hour purchased steam 1000 Btupound coal 24580 million Btushort ton natural gas 1031 Btucubic foot aviation gasoline 5250 million Btubarrel fuel oil 58254 million Btubarrel Jet fuel 5460 million Btubarrel liquefied petroleum gas 4011 million Btubarrel and motor gasoline 5250 million Btubarrel

SOURCEUS Department of Energy Energy Information Administration Annual Energy Review 1997 and 2007 table 113 available at httpwwweiadoegovemeuaer as of December 2008

Section CTransportation Energy

Intensity and Fuel Efficiency

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air certificated carrierDomestic operations 8633 10118 10185 7746 5742 5047 4932 4671 4564 4558 4444 4382 4183 4166 4123 4049 3883 3890 3596 (R) 3496 (R) 3410 (R) 3222 3098International operations 9199 10292 10986 8465 4339 5103 4546 4609 4258 4099 4145 4173 4108 4168 4278 4123 3833 3965 3920 (R) 4178 (R) 3888 (R) 3813 3691Highwaya

Passenger car 4495 4455 4841 4743 4348 4269 3811 3654 3703 3785 3771 3721 3688 3657 3637 3672 3589 3597 3600 3570 3509 (R) 3585 3525Other 2-axle 4-tire vehicle N N 6810 6571 5709 4971 4539 4277 4256 4275 4345 4538 4541 4564 4569 4612 4509 3985 4121 4452 4452 (R) 4077 4016Motorcycle b b 2500 2354 2125 1896 2227 1917 1990 2063 2135 2274 2271 2273 2273 2273 2273 2049 1969 1969 1969 (R) 1784 1754Transit motor bus N N N N 2742 3389 3723 3767 4038 3944 4162 4155 4196 4228 4133 4044 4147 3698 3550 3514 3572 3393 3262Amtrak N N N 2383 2148 2089 2066 1978 2035 2023 1935 1838 2153 2200 2138 2107 2134 2100 U U U U UKEY Btu = British thermal unit N = data do not exist R = revised U = data are not available

a For 1995 and subsequent years highway passenger-miles were taken directly from Highway Statistics rather than derived from vehicle-miles and average occupancy as is the case for 1960-1994

AmtrakAmtrak State and Local Affairs Department personal communication Apr 21 2008

1960-80 Air Transport Association Internet site httpwwwairlinesorg as of Aug 30 2004

1985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)

Transit motor busAmerican Public Transportation Association 2008 Public Transportation Fact Book Historical Tables (Washington DC Annual issues) tables 2 and 28 and similar tables in earlier editions

Passenger car1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

b Included in passenger carNOTE

Fuel consumed

To calculate total Btu multiply fuel consumed (see tables 4-21 4-22 4-24 4-25) by 135000 Btugallon for air carrier 125000 Btugallon for passenger car other 2-axle 4-tire vehicle and motorcycle 138700 Btugallon for transit motor bus and Amtrak diesel consumption and 3412 BtuKwH for Amtrak electric consumptionSOURCESAirCertificated air carriersPassenger-miles

Table 4-20 Energy Intensity of Passenger Modes (Btu per passenger-mile)

Motorcycle1970-85 Ibid Highway Statistics Summary to 1985 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1990-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information available at httpwwwbtsgovoaifuelfuelyearlyhtml as of Mar 27 2008Highway

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Aircraft-miles (millions)Domestic operations 858 1134 2068 1948 2523 3046 3963 3854 3995 4157 4380 4629 4811 4911 5035 5332 5664 5548 5616 6085 6591 (R) 6556 6511International operations 182 284 475 377 401 415 760 807 904 961 980 998 1043 1114 1192 1225 1282 1266 1225 1262 1403 (R) 1326 1428Available seat-miles (millions)Domestic operations 52220 94787 213160 241282 346028 445826 563065 543638 557989 571489 585438 603917 626389 651918 662313 699330 727033 695200 676949 689065 741674 (R) 752125 742461International operations 13347 29533 51960 61724 86507 101963 170310 171561 194784 200151 198893 203160 208682 228689 237538 242981 254048 235311 215606 204755 229788 (R) 251580 266725Passenger-miles (millions)Domestic operations 30557 51887 104147 131728 200289 270584 340231 332566 347931 354177 378990 394708 425596 450612 463262 488357 516129 486506 482310 505158 557893 (R) 584996 591834International operations 8306 16789 27563 31082 54363 65819 117695 115389 130622 135508 140391 145948 153067 169356 172255 180269 192798 178343 171860 168605 194173 (R) 211529 220138Fuel consumed (million gallons)Domestic operations 1954 3889 7857 7558 8519 10115 12323 11506 11763 11959 12384 12672 13217 13563 13335 14402 14845 14017 12848 12959 (R) 13623 13789 13458International operations 566 1280 2243 1949 1747 2488 3909 3940 4120 4113 4279 4443 4618 4915 4923 5250 5475 5237 4991 4836 (R) 4932 (R) 5521 5827Seats per aircraftDomestic operations 609 836 1031 1239 1371 1464 1421 1411 1397 1375 1337 1305 1302 1327 1315 1312 1284 1253 1205 1132 1125 (R) 1147 1140International operations 733 1040 1094 1637 2157 2457 2241 2126 2155 2083 2030 2036 2001 2053 1993 1984 1982 1859 1761 1623 1637 (R) 1897 1868Seat-miles per gallonDomestic operations 27 24 27 32 41 44 46 47 47 48 47 48 47 48 50 49 49 50 53 53 (R) 54 (R) 55 55International operations 24 23 23 32 50 41 44 44 47 49 46 46 45 47 48 46 46 45 43 42 (R) 47 (R) 46 46Energy intensity (Btupassenger-mile)Domestic operations 8633 10118 10185 7746 5742 5047 4890 4671 4564 4558 4411 4334 4193 4063 3886 3981 3883 3890 3596 3463 (R) 3296 (R) 3182 3070International operations 9199 10292 10986 8465 4339 5103 4484 4609 4258 4098 4114 4109 4073 3918 3858 3932 3833 3965 3920 3872 (R) 3429 (R) 3523 3574Load factor (percent)Domestic operations 585 547 489 546 580 607 604 612 624 620 647 654 679 691 699 698 710 691 703 726 744 (R) 773 790International operations 622 568 530 504 628 646 691 673 671 676 706 718 733 741 725 742 759 728 766 765 791 (R) 794 799

Seats per aircraft seat-miles per gallon and energy intensiveness

KEY Btu = British thermal unit R = revised

1980-2006 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Apr 25 2007

Passenger-miles includes all four air-carrier groups scheduled and charter passenger service onlyInternational operations include operations outside the United States including those between the United States and foreign countries and the United States and its territories or possessions

1985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)

Heat equivalent factor used for Btu conversion is 135000 Btugallon

Table 4-21 Energy Intensity of Certificated Air Carriers All Servicesa

Derived by calculation

a US owned carriers only Operation of foreign-owned carriers in or out of the United States not included

NOTES

SOURCES

Aircraft-miles available seat-miles passenger-miles and load factor

Fuel consumed

1960-80 Air Transport Association Internet site httpwwwair-transportorgpublicindustry as of July 31 2002

Aircraft-miles includes all four air-carrier groups (majors nationals large regionals and medium regionals) scheduled and charter passenger and all-cargo Fuel consumed includes majors nationals and large regionals scheduled and charter passenger and all-

1960-75 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovoaifuelfuelyearlyhtml as of July 21 2004

Table 4-22 Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006

Vehicle-miles (millions) Passenger car 587000 723000 917000 1034000 1112000 1247000 1408000 1358000 1372000 1375000 1406000 1438000 1470000 1503000 1550000 1569000 1600287 1628332 1658474 1672079 1699890 1708421 1682671Other 2-axle 4-tire vehicle N N 123000 201000 291000 391000 575000 649000 707000 746000 765000 790000 817000 851000 868000 901000 923059 943207 966034 984094 1027164 1041051 1089013Motorcycle b b 3000 5600 10200 9100 9600 9200 9600 9900 10200 9800 9900 10100 10300 10600 10469 9639 9552 9577 10122 10454 12401Passenger-miles (millions)a

Passenger car 1145000 1395000 1751000 1954000 2012000 2094000 2282000 2200000 2208000 2213000 2250000 2287000 2337000 2389000 2464000 2495000 2544457 2556481 2620389 2641885 2685827 2699305 2658621Other 2-axle 4-tire vehicle N N 226000 363000 521000 688000 1000000 1117000 1202000 1253000 1269000 1256000 1298000 1353000 1381000 1433000 1467664 1678853 1674792 1706103 1780771 1804848 1887997Motorcycle b b 3000 6000 12000 12000 12000 12000 12000 12000 12000 11000 11000 11000 11000 12000 11516 11760 12131 12163 12855 13277 15750Average occupancy ratePassenger car 195 193 191 189 181 168 162 162 161 161 160 159 159 159 159 159 159 157 158 158 158 158 158Other 2-axle 4-tire vehicle N N 184 181 179 176 174 172 170 168 166 159 159 159 159 159 159 178 173 173 173 173 173Motorcycle b b 100 107 118 132 125 130 125 121 118 112 111 109 107 113 110 122 127 127 127 127 127Fuel consumed (million gallons)Passenger car 41171 49723 67819 74140 69982 71518 69568 64317 65436 67048 67874 68072 69221 69892 71695 73283 73065 73559 75471 75455 75402 77419 74983Other 2-axle 4-tire vehicle N N 12313 19081 23796 27363 35611 38217 40929 42851 44112 45605 47354 49388 50462 52859 52939 53522 55220 60758 63417 58869 60662Motorcycle b b 60 113 204 182 191 184 191 198 205 196 198 202 206 212 209 193 191 192 202 189 220Energy intensity (Btupassenger-mile)c

Passenger car 4495 4455 4841 4743 4348 4269 3811 3654 3704 3787 3771 3721 3702 3657 3637 3671 3589 3597 3600 3570 3509 3585 3525Other 2-axle 4-tire vehicle N N 6810 6571 5709 4971 4451 4277 4256 4275 4345 4539 4560 4563 4568 4611 4509 3985 4121 4452 4452 4077 4016Motorcycle b b 2500 2354 2125 1896 1990 1917 1990 2063 2135 2227 2250 2295 2341 2205 2273 2049 1969 1969 1969 1779 1746KEY Btu = British thermal unit N = data do not exist R = revised

b Included in passenger carc Energy Intensity (Btupassenger-mile) is calculated by converting the fuel consumption in gallons to the energy equivalent Btu units and dividing by the passenger-miles heat equivalent factor used for Btu conversion is 125000 Btusgallon

NOTES In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle type categories for 1993 and later data These new categories include passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Other 2-axle 4-tire vehicle includes vans pickup trucks and sport utility vehicles In previous years some minivans and sport utility vehicles were included in the passenger car category Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the closest available categoryVehicle-miles and passenger-miles data for 1960 through 1999 have been rounded to the nearest billion miles

SOURCESVehicle-milesPassenger car1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201AMotorcycle1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201AFor 1970-94 the unrevised motorcycle vehicle-miles are subtracted from the combined passenger car and motorcycle vehicle-miles from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Passenger-miles 1960-97 Vehicle-miles multiplied by vehicle occupancy rates1998-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Fuel consumed

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201AFor 1970-94 the unrevised motorcycle fuel consumed is subtracted from the combined passenger car and motorcycle fuel consumed from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008Average US passenger car fuel efficiency (mpg) (calendar year)Passenger cara 160 175 203 212 210 206 208 211 212 215 216 214 219 221 220 222 225 (R) 221 224 U UOther 2-axle 4-tire vehicle 122 143 161 170 173 174 173 173 172 172 172 170 174 176 175 162 162 (R) 177 180 U UNew vehicle fuel efficiency (mpg)b (model year)Light-duty vehicle

Passenger car 243 276 280 284 279 284 283 286 285 287 288 283 285 288 290 295 295 303 (R) 301 312 312Domestic 226 263 269 273 270 278 275 277 281 278 286 280 287 287 291 291 299 305 (R) 303 (R) 306 310Imported 296 315 299 301 292 296 297 303 296 301 292 290 283 290 288 299 287 299 297 321 314

Light truck (lt8500 lbs GVWR)c 185 207 208 213 208 210 208 205 208 206 210 209 213 209 214 218 215 221 225 231 234CAFE standards (mpg)b (model year)Passenger car 200 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275Light truck d160140 195 200 202 202 204 205 206 207 207 207 207 207 207 207 207 207 210 216 222 225

Table 4-23 Average Fuel Efficiency of US Passenger Cars and Light Trucks

SOURCESAverage US passenger car fuel efficiency

1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from httpwwwfhwadotgovohimohimstathtm as of Aug 2 2001)

KEY CAFE = Corporate Average Fuel Economy GVWR = gross vehicle weight rating mpg = miles per gallon R = revised U = data are not available

a From 1980 to 1994 passenger car fuel efficiency includes motorcyclesb Assumes 55 city and 45 highway-miles The source calculated average miles per gallon for light-duty vehicles by taking the reciprocal of the sales-weighted average of gallons per mile This is called the harmonic average c Beginning with FY 1999 the total light truck fleet ceased to be categorized by either domestic or import fleetsd 2 Wheel Drive4 Wheel Drive No combined figure available for this year

New vehicle fuel efficiency (based on model year production) and CAFE standardsUS Department of Transportation National Highway Traffic Safety Administration Summary of Fuel Economy Performance (Washington DC Annual Issues) available at httpwwwnhtsadotgovportalsitenhtsamenuitem43ac99aefa80569eea57529cdba046a0 as of Sep 17 2008

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

NOTE

The fuel efficiency figures for light duty vehicles represent the sales-weighted harmonic average of the combined passenger car and light truck fuel economies

Table 4-24 Energy Intensity of Transit Motor Buses 1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Vehicle-miles (millions) 1576 1528 1409 1526 1677 1863 2130 2167 2178 2210 2162 2184 2221 2245 2175 2276 2315 2377 2411 2421 2471 (R) 2485 2495Passenger-miles (millions) N N N N 21800 21200 20981 21090 20336 20247 18832 18818 19096 19604 20360 21205 21241 22022 21841 21262 21377 21825 (P) 22821Fuel consumed (million gallons diesel) 208 248 271 365 431 518 563 573 592 576 565 564 578 598 607 618 635 587 559 539 550 534 537Energy intensity (Btu passenger-mile) N N N N 2742 3389 3723 3767 4038 3944 4162 4155 4196 4228 4133 4044 4147 3698 3550 3514 3572 (R) 3392 3262KEY Btu = British thermal unit N = data do not exist P= Preliminary R = Revised

NOTEHeat equivalent factor used for Btu is 138700 Btugallon

SOURCEAmerican Public Transportation Association 2008 Public Transportation Fact Book (Washington DC 2007) tables 6 10 28 and similar tables in earlier editions available at httpwwwaptacom as of December 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Revenue freight ton-miles (millions) 572309 697878 764809 754252 918958 876984 1033969 1038875 1066781 1109309 1200701 1305688 1355975 1348926 1376802 1433461 1465960 1495472 1507011 1551438 1662598 1696425 1771897Car-miles (millions) 28170 29336 29890 27656 29277 24920 26159 25628 26128 26883 28485 30383 31715 31660 32657 33851 34590 34243 34680 35555 37071 37712 38955Tons per car load 444 489 549 608 671 677 666 662 660 644 634 653 666 634 641 634 626 640 633 623 613 610 609Fuel consumed (million gallons) 3463 3592 3545 3657 3904 3110 3115 2906 3005 3088 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 4192Energy intensity (Bturevenue freight ton-mile) 839 714 643 672 589 492 418 388 391 386 385 370 366 368 361 359 350 344 343 342 339 335 328Energy intensity (Btucar-mile) 17051 16983 16450 18341 18495 17310 16516 15727 15952 15932 16234 15886 15652 15662 15218 15222 14836 15027 14918 14925 15187 15072 14926

Table 4-25 Energy Intensity of Class I Railroada Freight Service

Association of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 34 37 and 40 and similar tables in earlier editionsSOURCE

a Class I railroads are those that have operating revenues of $2894 million or more in 2004

KEY Btu = British thermal unit

The heat equivalent factor used for Btu conversion is 138700 BtugallonNOTE

Table 4-26 Energy Intensity of Amtrak Services1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Revenue passenger-miles (millions) 3931 4503 4785 6057 6273 6091 6199 5921 5545 5050 5166 5304 5330 5498 5559 5468 5680 5511 5381Locomotive fuel consumedTotal fuel consumed (billion Btu)a 9367 9673 9995 12512 12406 12328 12511 11457 10191 10875 11365 11341 11229 11735 11674 13952 13091 11920 11138Electric (millions of kWh)a 180 254 295 330 303 300 301 309 304 293 282 275 283 350 377 593 666 648 500Diesel (million gallons) 63 64 65 82 82 82 83 75 66 71 75 75 74 76 75 86 78 70 68Energy intensity (Bturevenue passenger-mile)a 2383 2148 2089 2066 1978 2024 2018 1935 1838 2153 2200 2138 2107 2134 2100 2551 2305 2163 2070KEY Btu = British thermal unit kWh = kilowatt hour U = data are not available

a Does not include electric power generation and distribution losses which if included would triple the electric conversion factor given below and increase the numbers in this row by about 20 percent

NOTEThe heat equivalent factors used in Btu conversion are diesel = 138700 Btugallon electric = 3412 BtukWh

SOURCESRevenue passenger-miles1975-2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003-2005 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsLocomotive fuel consumed1975-2001 Ibid State and Local Affairs Department personal communication2001-05 Amtrak personal communication as of Dec 19 2007

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent RankMedium Akron OH 03 04 09 10 12 15 19 16 20 24 26 26 25 24 23 22 25 23 -7 79 783 26Medium Albany-Schenectady NY 04 05 09 09 10 10 11 12 12 13 15 16 18 19 22 24 28 28 61 5 691 33Medium Albuquerque NM 12 17 30 32 38 41 44 50 56 60 62 65 57 55 51 53 59 66 17 56 471 53Medium Allentown-Bethlehem PA-NJ 10 11 17 18 22 26 30 34 40 44 47 42 45 44 44 43 46 47 4 72 382 58Small Anchorage AK 05 06 06 06 06 06 06 06 07 07 07 07 07 08 09 09 09 08 13 63 66 85Very large Atlanta GA 100 151 248 284 334 398 476 529 577 648 721 753 799 823 880 903 927 961 20 48 856 25Medium Austin TX 14 24 37 42 41 46 56 67 80 92 92 104 111 129 129 135 140 155 40 28 1022 18Small Bakersfield CA 01 02 04 04 05 06 06 07 08 09 10 10 10 11 14 15 19 21 105 1 1804 3Large Baltimore MD 49 84 184 186 186 199 207 227 231 240 239 250 264 297 366 390 400 408 54 9 741 30Small Beaumont TX 02 02 02 03 03 03 03 04 04 04 05 06 06 06 07 07 08 08 45 24 339 63Medium Birmingham AL 12 17 21 23 26 31 38 41 46 51 62 65 65 66 70 76 81 82 27 39 610 42Very large Boston MA-NH-RI 109 163 289 297 330 338 349 353 368 403 444 450 460 482 536 536 601 625 36 30 474 51Small Boulder CO 01 02 02 03 03 04 04 05 05 06 05 06 06 06 05 06 06 06 2 74 330 66Medium Bridgeport-Stamford CT-NY 19 30 44 44 51 51 57 64 63 74 84 93 97 101 113 111 106 115 18 51 493 48Small Brownsville TX 00 00 01 01 01 01 01 02 02 02 02 03 03 03 04 04 04 04 33 36 935 20Large Buffalo NY 08 09 14 14 15 16 17 18 18 20 24 28 31 32 33 39 37 37 18 53 391 57Small Cape Coral FL 04 05 08 09 10 13 16 19 20 20 19 19 19 23 25 27 29 31 64 4 678 36Small Charleston-North Charleston SC 12 17 26 28 32 33 34 34 33 35 39 41 42 42 44 48 50 49 16 57 308 73Medium Charlotte NC-SC 10 19 32 34 39 37 38 39 47 60 69 82 99 108 125 130 143 143 45 22 1274 12Very large Chicago IL-IN 243 376 606 624 649 659 680 792 908 923 989 996 963 1007 1195 1250 1326 1416 47 19 482 49Large Cincinnati OH-KY-IN 14 25 62 67 78 92 111 114 123 146 152 152 161 158 165 177 173 174 8 67 1119 14Large Cleveland OH 14 15 42 48 51 63 72 90 97 113 106 113 106 93 87 85 97 88 -17 84 536 47Small Colorado Springs CO 03 03 05 06 08 09 12 14 15 20 24 30 35 37 37 37 34 44 25 41 1503 9Small Columbia SC 03 06 08 09 10 10 11 11 12 14 14 17 19 19 21 23 23 24 27 38 688 34Large Columbus OH 10 15 48 50 58 70 79 89 97 106 109 110 107 120 127 139 157 155 45 20 1511 8Small Corpus Christi TX 03 04 05 06 06 06 06 06 07 07 07 09 08 09 09 10 11 11 36 31 259 77Very large Dallas-Fort Worth-Arlington TX 71 136 263 294 314 348 368 390 415 460 528 605 639 664 714 786 922 1062 66 3 1395 11Medium Dayton OH 16 18 30 31 33 38 34 43 43 47 48 53 50 45 44 42 51 46 -8 80 195 81Large Denver-Aurora CO 58 77 100 117 129 157 176 213 242 268 290 320 343 363 351 364 380 425 24 42 628 40Very large Detroit MI 218 268 476 509 574 610 584 583 615 636 649 683 671 714 756 781 772 761 13 62 248 78Medium El Paso TX-NM 04 05 10 13 16 17 21 19 18 21 24 32 37 42 43 45 54 57 54 10 1518 7Small Eugene OR 03 03 04 04 04 04 04 04 04 06 06 08 10 08 09 10 09 11 14 60 301 74Medium Fresno CA 09 11 19 20 21 24 24 26 29 31 38 41 43 37 40 40 39 42 -2 77 338 64Medium Grand Rapids MI 05 08 16 17 23 30 29 27 29 32 38 40 39 40 40 41 44 44 12 64 760 28Medium Hartford CT 09 13 20 22 36 29 33 36 39 45 51 56 60 58 59 58 64 65 9 65 617 41Medium Honolulu HI 20 26 47 47 53 54 54 58 58 53 54 53 50 51 49 55 57 63 26 40 207 80Very large Houston TX 235 331 362 324 305 312 346 367 420 497 533 597 614 713 781 803 827 926 51 12 294 76Large Indianapolis IN 38 44 75 85 101 131 153 163 171 188 169 165 164 168 168 170 171 161 -2 76 323 68Medium Jacksonville FL 24 35 60 64 76 79 85 97 103 100 97 97 97 98 114 126 140 140 45 23 475 50

Table 4-27 Annual Wasted Fuel Due to CongestionPercent changea

Short-term 1998-2003

Long term 1982-2003Population

groupGallons wasted (millions)

Urban area

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent Rank

Table 4-27 Annual Wasted Fuel Due to CongestionPercent changea

Short-term 1998-2003

Long term 1982-2003Population

groupGallons wasted (millions)

Urban areaLarge Kansas City MO-KS 09 16 34 33 40 61 65 66 76 85 87 103 97 97 97 102 88 86 -11 82 877 24Small Laredo TX 00 01 01 01 01 01 02 02 03 04 04 05 05 06 05 07 07 07 43 26 1724 4Large Las Vegas NV 10 15 50 59 67 79 94 106 115 119 131 143 147 156 169 184 196 200 36 29 1835 2Small Little Rock AR 03 03 05 06 06 08 09 09 11 11 14 17 15 18 15 18 24 23 51 13 736 31Very large Los Angeles-Long Beach-Santa Ana CA 1239 1545 3143 3097 3088 2923 2800 2989 3104 3180 3207 3317 3311 3480 3574 3544 3718 3837 16 58 210 79Medium Louisville KY-IN 35 37 43 55 68 80 86 87 100 108 116 122 122 111 126 135 148 144 19 50 315 70Medium Memphis TN-MS-AR 11 12 34 35 39 46 56 63 67 71 74 74 79 84 87 95 101 92 17 54 746 29Very Large Miami FL 131 173 372 369 426 425 456 501 524 559 593 694 775 838 893 958 1008 1052 36 32 702 32Large Milwaukee WI 23 32 64 69 80 82 79 88 90 92 98 111 112 108 109 108 111 108 -3 78 369 59Large Minneapolis-St Paul MN 27 52 115 119 146 177 215 237 248 316 345 371 368 401 379 384 385 418 14 61 1438 10Medium Nashville-Davidson TN 27 28 46 45 44 46 63 69 72 82 78 88 95 103 118 131 134 135 42 27 402 56Medium New Haven CT 05 08 12 13 16 19 20 21 21 26 31 36 37 42 43 43 38 42 15 59 681 35Large New Orleans LA 41 56 60 63 60 60 66 67 63 68 71 74 67 65 66 67 66 69 3 73 70 84Very large New York-Newark NY-NJ-CT 372 472 949 921 926 992 1097 1224 1305 1472 1531 1735 1633 1634 1735 1943 2245 2420 48 17 550 45Large Oklahoma City OK 08 13 18 22 23 27 27 39 44 51 53 62 57 65 68 63 63 62 9 66 665 38Medium Omaha NE-IA 07 10 20 21 26 26 30 31 34 33 39 42 44 49 53 53 54 53 22 43 667 37Large Orlando FL 26 48 113 133 138 139 151 165 182 207 223 233 243 266 261 257 258 260 7 68 894 23Medium Oxnard-Ventura CA 05 10 19 20 25 28 37 39 45 41 43 53 54 63 67 71 78 84 54 11 1534 6Small Pensacola FL-AL 03 03 08 07 09 10 10 12 15 17 17 18 18 19 21 23 25 27 48 18 931 21Very large Philadelphia PA-NJ-DE-MD 163 199 285 289 319 310 328 347 374 419 482 502 495 571 623 658 681 709 43 25 336 65Very Large Phoenix AZ 117 132 180 187 212 214 223 218 263 283 307 365 393 440 415 446 485 589 50 15 404 55Large Pittsburgh PA 44 49 81 80 76 75 75 89 89 89 85 94 88 92 95 93 96 92 5 69 110 83Large Portland OR-WA 34 39 78 84 105 115 121 139 159 176 182 200 200 206 199 213 225 240 20 47 600 44Large Providence RI-MA 09 11 27 29 32 37 39 41 51 52 69 80 86 95 103 115 119 117 36 33 1181 13Medium Raleigh-Durham NC 07 13 32 32 32 39 44 48 52 62 62 68 76 82 94 99 108 117 55 8 1579 5Medium Richmond VA 10 11 22 24 28 30 38 47 50 46 45 45 43 47 50 57 63 64 50 16 549 46Large Riverside-San Bernardino CA 13 27 117 139 147 149 131 150 164 162 188 209 214 222 249 293 367 396 85 2 2916 1Medium Rochester NY 04 06 10 11 12 12 13 15 15 17 15 17 18 18 18 20 24 24 34 34 472 52Large Sacramento CA 29 45 124 129 125 124 141 140 159 151 163 175 186 204 219 247 277 292 57 6 914 22Small Salem OR 01 01 03 04 05 06 06 06 06 06 07 08 09 11 11 10 10 10 21 45 985 19Medium Salt Lake City UT 13 22 39 46 55 65 78 85 85 83 79 86 94 102 109 114 99 93 -1 75 604 43Large San Antonio TX 17 34 39 39 47 49 55 71 86 98 118 147 171 159 164 171 201 204 20 49 1117 15Large San Diego CA 60 106 306 298 326 318 311 324 352 362 392 472 490 546 615 605 724 711 45 21 1086 17Very large San Francisco-Oakland CA 226 432 721 677 690 709 670 730 756 714 771 788 833 818 874 895 933 1005 21 46 345 62Large San Jose CA 87 151 243 249 232 220 236 260 262 256 280 327 333 345 338 344 321 347 4 70 297 75Medium Sarasota-Bradenton FL 11 18 20 23 23 26 27 26 31 34 35 41 40 42 44 47 51 53 33 35 369 60Large Seattle WA 63 122 326 354 378 405 416 433 439 478 487 488 463 454 465 507 506 547 18 52 768 27Small Spokane WA 02 03 05 06 08 10 11 09 09 10 11 11 11 10 10 10 10 09 -19 85 329 67Medium Springfield MA-CT 09 10 13 14 16 17 16 17 17 17 19 21 21 20 22 21 22 25 17 55 166 82Large St Louis MO-IL 55 75 92 90 109 150 196 237 243 260 263 279 277 254 257 242 234 233 -16 83 322 69Large Tampa-St Petersburg FL 86 105 155 181 185 197 204 216 218 213 223 235 234 265 292 311 356 353 50 14 308 72Medium Toledo OH-MI 02 03 06 06 07 09 13 18 20 22 25 27 29 29 28 26 30 26 -9 81 1102 16

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent Rank

Table 4-27 Annual Wasted Fuel Due to CongestionPercent changea

Short-term 1998-2003

Long term 1982-2003Population

groupGallons wasted (millions)

Urban areaMedium Tucson AZ 26 30 38 37 39 40 39 41 44 57 61 63 67 74 81 95 95 105 56 7 310 71Medium Tulsa OK 09 18 25 24 25 26 26 30 38 40 42 43 46 50 52 54 48 48 4 71 412 54Large Virginia Beach VA 37 55 79 78 78 82 99 115 135 145 153 162 141 158 168 169 167 171 21 44 356 61Very large Washington DC-MD-VA 124 248 420 470 556 585 614 637 690 688 676 726 707 776 837 889 903 909 29 37 634 39NA 437-Area Average 13 18 32 33 34 37 38 42 45 50 53 56 57 60 64 62 64 66 15 NA 411 NANA 85-Area Average 54 76 139 142 151 156 163 176 188 200 211 226 228 240 254 265 282 296 29 NA 445 NANA Very Large Area Average 244 339 617 621 650 659 672 721 768 811 851 907 911 958 1020 1064 1132 1201 32 NA 393 NANA Large Area Average 32 48 93 99 106 116 126 140 150 160 169 185 188 198 207 215 228 234 24 NA 621 NANA Medium Area Average 12 16 25 27 31 34 38 41 45 49 52 56 58 60 65 68 71 73 27 NA 527 NANA Small Area Average 03 04 06 06 07 08 09 09 10 11 12 13 14 15 15 16 17 18 32 NA 536 NA

Small urban areas - less than 500000 population

a Percent changes were calculated using the numbers in this table and were not obtained from the source Rank is based on the calculated percent change with the highest number corresponding to a rank of 1

The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobilityMethodology and data sources have been changed in 2007 and applied retroactively to past years these figures are not comparable to those in past editions of NTS SOURCE

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Dec 5 2007

KEY NA = not applicable NM = not meaningfulVery large urban areas - over 3 million populationLarge urban areas - over 1 million and less than 3 million populationMedium urban areas - over 500000 and less than 1 million population

NOTESWasted fuel is the difference between the fuel consumed under estimated existing conditions and the fuel consumed under free-flow conditions Previous editions of this table were calculated on the basis of total fuel consumed during congested trips Calculations are made for peak period speeds and for free-flow speeds on both the freeway and principal arterial systems For a more detailed description of the formulas used see the source document

1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Percent Rank Percent RankAkron OH Med 1 2 4 4 5 6 7 6 8 9 9 9 9 8 8 7 8 7 -222 82 6000 11Albany-Schenectady NY Med 2 2 4 4 4 4 5 5 5 5 6 6 7 7 8 9 10 10 429 3 4000 20Albuquerque NM Med 6 8 13 13 15 16 17 19 20 21 22 22 19 18 17 17 19 21 105 41 2500 45Allentown-Bethlehem PA Med 5 6 7 7 9 10 12 13 14 15 16 14 14 14 14 13 14 14 00 55 1800 56Anchorage AK Sml 6 6 5 5 6 5 5 5 5 5 6 6 6 6 6 6 6 5 -167 77 -167 85Atlanta GA Vlg 16 23 28 31 34 39 44 47 50 52 54 53 52 51 50 47 46 44 -154 76 1750 59Austin TX Med 8 12 15 16 15 16 19 22 25 26 25 27 28 31 29 30 31 33 179 30 3125 38Bakersfield CA Sml 1 1 3 3 3 4 4 4 5 5 5 5 5 5 6 6 8 8 600 1 7000 5Baltimore MD Lrg 7 11 21 20 20 20 21 22 22 23 22 23 23 25 30 31 31 32 391 9 3571 28Beaumont TX Sml 2 3 2 3 3 3 3 3 4 4 4 5 5 6 6 6 6 7 400 7 2500 45Birmingham AL Med 5 6 7 8 9 10 12 13 14 15 19 19 19 19 20 21 22 22 158 35 3400 33Boston MA-NH-RI Vlg 7 10 17 17 19 19 20 20 20 22 23 24 24 25 27 27 30 31 292 17 3429 31Boulder CO Sml 4 5 6 6 7 9 8 9 9 10 10 10 10 10 9 9 9 9 -100 71 1250 68Bridgeport-Stamford CT-NMed 6 10 13 13 15 15 16 18 17 20 22 23 23 23 25 24 23 24 43 50 3000 39Brownsville TX Sml 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 4 4 00 55 3000 39Buffalo NY Lrg 2 2 4 3 3 4 4 4 4 4 5 6 6 6 6 7 7 7 167 31 2500 45Cape Coral FL Sml 5 5 7 8 9 11 13 15 16 15 13 13 12 13 13 14 14 14 167 31 1800 56Charleston-North CharlesSml 9 11 15 15 17 17 17 17 16 16 18 18 18 17 18 19 20 19 56 49 1111 70Charlotte NC-SC Med 7 12 16 16 16 15 15 15 17 20 22 25 28 29 30 30 31 31 107 40 3429 31Chicago IL-IN Vlg 9 13 20 20 20 20 20 22 25 24 25 25 24 24 28 29 30 32 333 12 2556 44Cincinnati OH-KY-IN Lrg 3 5 12 12 14 16 18 18 18 21 21 20 20 19 19 20 19 19 -50 67 5333 13Cleveland OH Lrg 2 2 5 6 6 8 9 10 11 13 12 12 11 10 9 9 10 9 -182 78 3500 29Colorado Springs CO Sml 2 3 4 4 5 6 7 8 8 10 11 13 15 15 15 14 13 16 67 47 7000 5Columbia SC Sml 2 4 6 6 7 6 6 6 7 7 7 8 9 9 9 10 10 10 111 38 4000 20Columbus OH Lrg 3 4 12 12 13 15 17 18 19 20 20 20 18 20 20 21 24 24 333 12 7000 5Corpus Christi TX Sml 3 3 4 4 5 4 4 4 4 5 5 5 5 6 5 6 6 6 200 25 1000 73Dallas-Fort Worth-ArlingtoVlg 7 11 17 19 19 21 21 22 22 23 25 28 28 28 29 31 35 40 429 3 4714 16Dayton OH Med 6 7 11 11 11 13 11 14 13 14 14 15 14 12 11 11 13 11 -214 81 833 80Denver-Aurora CO Lrg 10 12 14 16 17 20 21 24 26 28 29 31 32 31 29 29 30 33 31 53 2300 52Detroit MI Vlg 15 18 29 31 34 35 33 32 33 34 34 35 34 35 37 37 36 35 29 54 1333 67El Paso TX-NM Med 2 2 4 5 6 6 8 7 6 7 8 10 11 12 12 13 15 16 455 2 7000 5Eugene OR Sml 3 4 5 4 4 4 4 4 4 5 6 7 8 7 7 7 7 8 00 55 1667 60Fresno CA Med 6 6 9 9 9 10 10 10 11 11 14 15 15 13 13 12 12 12 -200 80 1000 73Grand Rapids MI Med 3 5 8 8 11 14 13 11 12 13 15 15 14 14 13 13 14 14 00 55 3667 24Hartford CT Med 3 4 5 6 9 7 8 9 9 11 12 13 13 13 13 12 13 14 77 43 3667 24Honolulu HI Med 8 10 16 15 17 16 16 17 17 15 15 15 14 14 13 15 15 16 143 36 1000 73Houston TX Vlg 20 27 23 21 19 20 21 22 24 28 29 31 31 35 37 37 38 42 355 11 1100 71Indianapolis IN Lrg 11 12 18 20 23 29 33 34 35 37 33 32 31 31 30 30 30 28 -97 70 1545 62Jacksonville FL Med 9 12 18 18 21 22 23 25 26 24 23 22 22 21 24 25 27 26 182 29 1889 54Kansas City MO-KS Lrg 2 3 7 6 7 10 10 10 12 13 13 15 13 13 12 12 11 10 -231 83 4000 20Laredo TX Sml 1 1 2 2 2 2 3 4 4 5 5 5 5 6 5 6 6 6 200 25 5000 14Las Vegas NV Lrg 6 7 16 18 18 20 22 23 23 22 23 24 22 23 24 25 26 27 227 19 3500 29Little Rock AR Sml 2 3 4 4 5 6 6 6 7 7 9 10 9 11 8 9 12 11 222 20 4500 17

Table 4-28 Annual Wasted Fuel Per Person

Urban AreaPopulation

groupGallons wasted

Percent changea

Short-term 2000-2005 Long term 1982-2005

Los Angeles-Long Beach Vlg 31 36 64 60 58 54 51 53 53 53 53 54 53 54 55 53 55 57 75 44 839 79Louisville KY-IN Med 11 11 12 15 18 20 22 22 25 26 28 28 28 25 27 28 31 29 36 52 1636 61Memphis TN-MS-AR Lrg 3 4 9 9 10 11 13 14 14 15 15 15 15 16 16 17 18 16 67 47 4333 19Miami FL Vlg 9 11 21 20 23 22 23 24 24 25 26 29 30 31 32 33 34 35 167 31 2889 41Milwaukee WI Lrg 4 6 11 11 13 13 13 14 14 14 15 16 16 15 14 14 14 14 -125 75 2500 45Minneapolis-St Paul MN Lrg 4 7 13 13 15 18 21 22 23 28 30 31 30 31 29 28 28 30 00 55 6500 10Nashville-Davidson TN Med 12 12 18 17 16 16 21 22 22 24 21 22 23 23 25 26 26 25 87 42 1083 72New Haven CT Med 3 4 6 6 8 9 9 9 8 10 12 14 14 15 15 15 13 14 00 55 3667 24New Orleans LA Lrg 10 13 13 13 12 12 13 13 12 13 13 13 12 11 11 11 11 11 -83 69 100 84New York-Newark NY-NJVlg 7 8 16 15 15 15 17 18 19 21 22 24 22 21 22 24 27 29 318 14 3143 37Oklahoma City OK Med 3 4 6 7 7 8 8 11 12 13 14 15 14 15 16 14 14 13 -71 68 3333 34Omaha NE-IA Med 3 4 8 8 11 10 11 11 12 11 13 13 14 15 16 16 16 15 71 45 4000 20Orlando FL Lrg 10 17 30 32 32 31 32 33 35 38 40 40 39 41 38 36 36 35 -103 74 2500 45Oxnard-Ventura CA Med 3 6 9 9 10 12 15 15 17 16 16 16 19 22 23 23 25 27 421 6 8000 2Pensacola FL-AL Sml 3 3 6 6 7 8 8 9 11 12 11 12 12 11 12 13 14 14 167 31 3667 24Philadelphia PA-NJ-DE-MVlg 10 11 15 15 16 15 16 16 17 18 20 20 19 21 22 23 23 24 263 18 1400 65Phoenix AZ Vlg 21 20 23 23 24 23 23 22 24 25 25 28 28 30 28 29 30 34 214 22 619 82Pittsburgh PA Lrg 6 7 11 11 10 10 9 11 11 10 10 10 10 10 10 9 10 9 -100 71 500 83Portland OR-WA Lrg 8 9 16 16 20 21 21 23 26 26 26 28 27 26 25 25 26 27 00 55 2375 51Providence RI-MA Lrg 2 2 5 6 6 7 7 7 9 9 11 13 14 15 16 17 18 17 214 22 7500 4Raleigh-Durham NC Med 4 7 14 13 13 14 16 16 17 19 18 19 19 20 22 21 22 23 211 24 4750 15Richmond VA Med 4 4 7 8 9 9 11 14 14 13 12 12 10 11 11 12 13 13 300 15 2250 53Riverside-San BernardinoLrg 4 7 22 24 25 24 21 23 25 24 27 28 28 27 29 32 39 40 429 3 9000 1Rochester NY Med 2 2 4 4 4 4 4 5 5 5 5 5 5 5 5 6 7 7 400 7 2500 45Sacramento CA Lrg 8 12 25 25 23 22 24 24 26 23 24 25 25 26 26 27 30 30 200 25 2750 42Salem OR Sml 1 2 4 5 6 7 7 7 7 7 7 8 8 10 10 9 8 8 00 55 7000 5Salt Lake City UT Med 5 7 11 12 15 17 20 21 20 19 17 19 20 21 22 23 19 18 -100 71 2600 43San Antonio TX Lrg 4 8 7 7 9 9 10 12 14 16 19 23 26 24 24 24 27 27 38 51 5750 12San Diego CA Lrg 8 13 30 27 29 27 26 26 28 28 29 34 34 37 40 39 46 44 294 16 4500 17San Francisco-Oakland CVlg 17 32 46 42 41 42 38 41 42 38 40 40 42 40 42 42 44 47 119 37 1765 58San Jose CA Lrg 16 27 39 37 34 31 32 35 34 32 34 38 38 39 37 38 35 38 00 55 1375 66Sarasota-Bradenton FL Med 8 12 10 11 10 12 11 11 13 13 13 15 14 14 15 15 15 15 71 45 875 77Seattle WA Vlg 8 14 33 34 35 36 36 36 36 38 37 36 34 32 31 32 32 34 00 55 3250 36Spokane WA Sml 2 3 4 5 6 7 7 6 6 6 6 7 7 6 6 5 5 5 -286 85 1500 63Springfield MA-CT Med 4 4 5 5 6 6 6 6 6 6 6 7 7 6 6 6 6 7 00 55 750 81St Louis MO-IL Lrg 7 9 11 10 12 16 21 25 25 26 26 27 26 23 23 21 20 20 -231 83 1857 55Tampa-St Petersburg FLLrg 15 16 20 23 23 24 24 25 24 23 24 24 23 25 27 28 29 28 217 21 867 78Toledo OH-MI Med 1 1 2 2 3 4 6 7 8 9 10 11 11 11 10 9 11 9 -182 78 8000 2Tucson AZ Med 13 15 16 15 15 14 13 14 14 18 18 18 19 20 21 24 24 26 368 10 1000 73Tulsa OK Med 5 7 8 8 8 8 8 8 10 11 11 11 11 12 12 12 11 11 00 55 1200 69Virginia Beach VA Lrg 8 11 13 13 12 13 15 17 19 20 21 22 18 20 20 20 20 20 111 38 1500 63Washington DC-VA-MD Vlg 10 18 27 29 33 34 35 36 39 38 36 38 36 39 40 42 43 43 194 28 3300 35437 Urban Area AverageAll 437 9 12 18 18 19 19 20 21 22 22 23 24 23 24 24 24 25 26 130 NA 1889 NA85 Urban Area Average All 85 10 13 22 22 22 22 23 24 25 26 26 27 27 27 28 28 30 31 148 NA 2100 NAVery Large Urban Area Vlg 14 18 29 28 29 28 28 30 31 31 32 33 32 33 34 35 36 38 188 NA 1714 NALarge Urban Area AveraLrg 7 7 9 9 10 12 13 15 16 16 17 18 19 20 21 22 22 24 263 NA 2429 NAMedium Urban Area AveMed 5 7 10 10 11 12 13 14 14 15 16 16 16 17 17 17 18 18 125 NA 2600 NASmall Urban Area AveraSml 3 4 5 6 6 7 7 7 8 8 8 9 9 9 10 10 10 10 111 NA 2333 NA

NOTESWasted fuel is the difference between the fuel consumed under estimated existing conditions and the fuel consumed under free-flow conditions The urban areas included are those containing over 500000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobility

SOURCE

Texas Transportation Institute The 2007 Annual Urban Mobility Report (College Station TX 2007) Internet site httpmobilitytamuedu as of Dec 5 2007

KEY NA = not applicable NM= not meaningfulVery large urban areas - over 3 million populationLarge urban areas - over 1 million and less than 3 million populationMedium urban areas - over 500000 and less than 1 million populationSmall urban areas - less than 500000 population

a Percent changes were calculated using the numbers in this table and were not obtained from the source Rank is based on the calculated percent

Section DAir Pollution

b

Table 4-29 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Vehiclesab

(Grams per mile)

Engine type and pollutant

Prior to controld

1968-1969

1970-1971 1972

1973-1974

1975-1976

1977-1979 1980 1981

1982-1986

1987-1993

Tier 1i

1994-2003bInterim Tier 2i

2004-2006Tier 2i 2007+

GasolineHC (total) 11 g 22 34 15 041 041 (h) h

NMHC e h 025 (031) h

NMOG e h 0125 (0156) 0100 (0125)CO 80 g 23 39 15 70 34 34 (42)Cold-tempCOc

e h 10 (h)

NOx 4 h 30 31 20 10 04 (06) 014 (020)Particulates e h 008 (010) 008 (008) 002 (002)Formaldehyde e h 0015 (0018)DieselHC (total) 11 h 15 041 041 (h) h

NMHC e h 025 (031) h

NMOG e h h (0156) 0100 (0125)CO 80 h 15 70 34 34 (42) h (42) 34 (42)NOx 4 h 31 20 10 10 (125) h (06) 014 (020)Particulates e h 060 020 008 (010) h (010) 002 (002)Formaldehyde e h h (0018) 0015 (0018)Test procedure 7-mode CVS-72 CVS-75

Useful life intermediate h 5 years50000 milesUseful life full 5 years50000 miles 10 years100000 miles 10 years120000 milesKEY CO = carbon monoxide CVS = constant volume sampler HC = hydrocarbons NMHC = non-methane hydrocarbons NMOG = nonmethane organic gases NOx = nitrogen oxides

a The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulations The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that the total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested under the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2000 these standards are not shown in this tableb All emissions standards must be met for a useful life of 5 years50000 miles Beginning with model year 1994 a second set of emissions standards must also be met for a full useful life of 10 years100000 miles these standards are shown in parentheses Tier 1 exhaust standards were phased-in during 1994-96 at a rate of 40 80 and 100 respectivelyc The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful life

d The Prior to control column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certification standards were implementede No estimate availablef Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and have either 1) intermediate useful life standards waived or 2) receive additional NOx creditsg In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this tableh No standard has been setI The term tier refers to a level of standards and is associated with specific years Interim Tier 2 refers to an intermediate level of standards that move manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulate matter HC and NMHC standards are dropped for Tier 2 and Interim Tier 2 Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weight corporate average NOx standard is met for the full useful life of the vehicle The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim sales-weighted average for light-duty vehicles (LDVs) is 93 gramsmile For LDVs Tier 2 standards will be phased in at a rate of 25 in 2004 50 in 2005 75 in 2006 and 100 in 2007 During this period all LDVs not meeting the Tier 2 standards must meet Interim Tier 2 standards

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

Engine type and

pollutant

Prior to

controlg

1968-

1969

1970-

1971 1972

1973-

1974 1975

1976-

1978

1979-

1981

1982-

1983 1984

1985-

1986 1987

1988-

1993

Gasoline

HC (total) 11 i 22 j R(080)j

NMHC h 025 (031) j

NMOG h0125 (0156) 0100 (0125)

CO 80 i 23 34 (42)

Cold-temp COd e 10 j

NOx 4 30 12 04 (06) 014 (020)

Particulates h 008 (010) 008 (008) 002 (002)

Formaldehyde h0015 (0018)

HC (total) 11 20 17 j (080)

NMHC h 025 (031)

NMOG h j(0156) 0100 (0125)

CO 80 20 34 (42) j(42) 34 (42)

NOx 4 31 12 10 (125) j (06) 014 (020)

Particulates h 008 (010) j (010) 002 (002)

Formaldehyde h j(0018) 0015 (0018)

LDT1 weight criterae

CVS-75CVS-727-mode

060

j

10

080

026

j

j

j

18

23

Diesel

18 10

080172034

j

j

j

39

31

20

j

23

10 years100000 miles11 years120000 miles5 years50000 miles

j 5 years50000 miles 5 years50000miles

Table 4-30a Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks (Category LDT1)abc

(Grams per mile)

KEY CO=carbon monoxide CVS = constant volume sampler GVWR=gross vehicle weight rating HC=hydrocarbons LVW=loaded vehicle weight NMHC=nonmethane hydrocarbons NMOG= nonmethane organic gases NOx=nitrogen oxides

Useful life full

Tier 1k 1994 1995-2003

GVWR up through 6000 lbs LVW up through 3750 pounds

Useful life intermediatecf

10 years 20000 miles

Tier 2k 2007+

GVWR up through 6000 pounds

Test procedure b

Interim Tier 2k

2004-2006

j

j

j

j

j

GVWR up through 8500 pounds

j

j

d The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifee GVWR is the maximum design loaded weight LVW is the curb weight (nominal vehicle weight) plus 300 pounds

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 pounds were classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to 8500 pounds GVWR During 1988-93 light duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT2 LDT3 and LDT4 are shown in tables 4-30b through 4-30d

b The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulation The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedurebecame the test procedure as of model year 1975 While it may appear that total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2000 Thesestandards are not shown in this table

c Emissions standards had to be met for a useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1994 emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life (full useful life standards are shown in parentheses)HC standards however were established only for full useful life Tier 1 exhaust standards except particulates standards were phased in during 1994-96 at a rate of 40 80 and 100 respectively Particulate matter standards were phased-in at a rate of 40 80 and 100 during 1995-97

f Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx creditsg The Prior to controls column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certification standard were implemented

k The term tier refers to a level of standards for specific years Interim Tier 2 refers to an intermediate level of standards that move manufacturerstoward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for the full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT1 vehicles is 03 gramsmile Tier 2 standards will be phased in at a rate of 25 in 2004 50 in 2005 75 in 2006 and 100 in 2007 During this period all LDT1 vehicles not meeting the Tier 2 standards must meet Interim Tier 2 standards

h No estimate availableI In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this j No standard has been set

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

- - - -

d

e

Table 4-30b Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks (Category LDT2)abc (Grams per mile)Engine typeand pollutant

Prior to controlg

19681969

19701971 1972

19731974 1975

6-197

9-198

1982-1983 1984

1985-1986 1987

8-199

19911993

Tier 1k 1994

Tier 1k 1995-2003

Interim Tier 2k 2004-2006 Tier 2k 2007+

GasolineHC (total) 11 e 22 34 20 17 080 j (080) j

NMHC h j j (040) j

NMOG h j 0125 (0156) 0100 (0125)CO 80 I 23 39 20 18 10 44 (55) 34 (42)Cold-temp CO h j 13 (j)

NOx 4 j 30 31 23 17 07 (097) 04 (06) 014 (020)Particulates h j 01 (010) 008 (008) 002 (002)Formaldehyde h j 0015 (0018)DieselHC (total) 11 j 20 17 080 j (080) j

NMHC h j 03 (040) j

NMOG h j j (0156) 0100 (0125)CO 80 j 20 18 10 44 (55) j (42) 34 (42)

NOx 4 j 31 23 17 j (097) j (06) 014 (020)Particulates h j 060 050 05 013 01 (010) j (010) 002 (002)Formaldehyde h j j (0018) 0015 (0018)

LDT2 weight criteriae GVWR up through 6000 poundsGVWR up through 8500

poundsGVWR up through 6000 pounds LVW over 3750 pounds

Test procedureb 7-mode CVS-72 CVS-75

Useful life intermediatec f j 5 years50000 miles 5 years50000milesUseful life full 5 years50000 miles 11 years120000 miles 10 years100000 miles 10 years120000 milesKEY CO=carbon monoxide GVWR=gross vehicle weight rating HC=hydrocarbons LVW=loaded vehicle weight NMHC=non-methane hydrocarbons NMHC=nonmethane hydrocarbons NMOG=nonmethane organic gases NOx=nitrogen oxides

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 pounds were classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to 8500 pounds GVWR During 1988-93 light-duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT1 LDT3 and LDT4 are shown in tables 4-30a 4-40c and 4-30db The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulation The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that thtotal HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2000 These standards are not shown in this tablec Emissions standards had to be met for a useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1994 emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life (full useful life standards are shown in parentheses) HC standards however were established only for full useful life Tier 1 exhaust standards except particulates standardswere phased-in during 1994-96 at a rate of 40 80 and 100 respectively Particulates standards were phased-in at a rate of 40 80 and 100 during 1995-97

dThe cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifeeGVWR is the maximum design loaded weight LVW is the curb weight (nominal vehicle weight) plus 300 pounds

f Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx credits

g The Prior to controls reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certification standards were implementedh No estimate available

i In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this tablej No standard has been setk The term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of standards that move manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for the full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT2 vehicles is 03 gramsmile Tier 2 standards will be phased in at a rate of 25 in 2004 50 in 2005 75 in 2006 and 100 in 2007 During this period all LDT2 vehicles not meeting the Tier 2 standards must meet Interim Tier 2 standards

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

- - - - -

c

Table 4-30c Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks (Category LDT3)abc (Grams per mile)

Engine type and pollutant

Prior to

controlg1968-1969

1970-1971 1972

1973-1974 1975

19761978

19791981

19821983 1984

1985-1986 1987

19881989 1990

19911995

Tier 1k

1996-2007Interim Tier 2

k 2008 Tier 2k 2009+GasolineHC (total) 11 I 22 34 20 17 080 j (080

)

j

NMHC h j 032 (046)

j

NMOG h j 0160 (0230) 0125 (0156)CO 80 i 23 39 20 18 10 44 (64) 34 42Cold-tempCOd

h j 125 (j)

NOx 4 j 30 31 23 23 17 07 (098) 04 (06) 014 (020)

Particulates h j j (010) 008 (008) 002 (002)

Formaldehyde h j 0018 (0027) 0015 (0018)DieselHC (total) 11 j 20 17 080 j (080

)

j

NMHC h j 032 (046)

j

NMOG h j j (0230) 0125 (0156)CO 80 j 20 18 10 44 (64) j 34 42NOx 4 j 31 23 23 17 j (098

)

j

(06) 014 (020)Particulates h j 060 050 045 013 j (010

)

j

(008) 002 (002)Formaldehyde h j j (0027) 0015 (0018)

LDT3 weight criteriae GVWR up through 6000 pounds GVWR up through 8500

poundsAny ALVW ALVW up through 5750 pounds

GVWR 6001-8500 pounds

Test procedureb 7-mode CVS-72 CVS-75

Useful life intermediate j 5 years50000 milesUseful life full 5 years50000 miles 11 years120000 miles

KEY ALVW=adjusted loaded vehicle weight CO = carbon monoxide GVWR=gross vehicle weight rating HC = hydrocarbons NMHC=nonmethane hydrocarbon NMOG=nonmethane organic gases NOx=nitrogen oxides

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 pounds were classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to 8500 pounds GVWR During 1988-93 light-duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT1 LDT2 and LDT4 are given in tables 4-30a 4-40b and 4-30d

b The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulation The 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972 The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that the total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2002 These standards are not shown in this table

c Emissions standards had to be met for a full useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1996 emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life of 11 years120000 miles (intermediate and full useful life standards are shown in parentheses) This applied to all pollutants except HC and particulates for all LDT3 vehicles and NOx for diesel-powered LDT3 vehicles which were only required to meet full useful life standards Tier 1 exhaust standards were phased-in during 1996-97 at a rate of 50 and 100 respectively

d The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifee GVWR is the maximum design loaded weight ALVW is the numerical average of the GVWR and the curb weightf Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx creditsg The Prior to controls column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissions certifcation standards were implementedh No estimate available

i In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatible with this table

j No standard has been set

k The term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of standards that moves manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT3 vehicles is 06 gramsmile Tier 2 LDT3 standards will be phased in during 2008 and 2009 In 2008 50 of LDT3 vehicles must meet Tier 2 standards the others must meet Interim Tier 2 standards Beginning in 2009 all LDT3 vehicles must meet Tier 2 standards

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

Engine type and pollutant

Prior to controlg

1968-1969

1970-

1971 1972

1973-1974 1975

1976-1978

1979-1981

1982-1983 1984

1985-1986 1987

1988-

1989 1990

1991-

1995

HC (total) 11 I 22 34 20 17 080 j (080) j

NMHC h j 04 (056) j

NMOG h j 0160 (0230) 0125 (0156)CO 80 i 23 39 20 18 10 50 (73) 44 (64) 34 (42)Cold-tempCOd

h j 13 (j)

NOx 4 j 30 31 23 23 17 11 (153) 04 (06) 014 (020)Particulates h j j (012) 008 (008) 002 (002)Formaldehyde h j 0018 (0027) 0015 (0018)

HC (total) 11 j 20 17 080 j (080) j

NMHC h j 04 (056) j

NMOG h j j (0230) 0125 (0156)CO 80 j 20 18 10 50 (73) j (64) 34 (42)NOx 4 j 31 23 23 17 j (153) j

(06) 014 (020)Particulates h j 060 050 05 01 j (012) j (008) 002 (002)Formaldehyde h j j (0027) 0015 (0018)

Any ALVW

7-mode CVS-72 CVS-75j

5 years50000 miles 11 years120000 milesKEY ALVW=adjusted loaded vehicle weight CO = carbon monoxide GVWR=gross vehicle weight rating HC = hydrocarbons NMHC=nonmethane hydrocarbon NMOG=nonmethane organic gases NOx=nitrogen oxides

Tier 2k 2009+

Diesel

Gasoline

Useful life full

LDT4 weight criteriae

GVWR 6001-8500 pounds

5 years50000 miles

ALVW over 5750 pounds

Table 4-30d Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks(Category LDT4)abc (Grams per mile)

Tier 1k

1996-2007Interim Tier 2k

2008

Test procedureb

Useful life intermediatec

GVWR up through 6000 pounds GVWR up through 8500 pounds

Additional standards for CO and composite standards for NMHC and NOx tested over the new Supplemental Federal Test Procedure will be phased-in beginning with model year 2002 These standards are not shown in this table

b The test procedure for measuring exhaust emissions has changed several times over the course of vehicle emissions regulationThe 7-mode procedure was used through model year 1971 and was replaced by the CVS-72 procedure beginning in model year 1972The CVS-75 procedure became the test procedure as of model year 1975 While it may appear that the total HC and CO standards were relaxed in 1972-74 these standards were actually more stringent due to the more stringent nature of the CVS-72 test procedure

a Light-duty truck categories LDT1-LDT4 were not created until 1994 From 1968 to 1978 all trucks with a GVWR up to 6000 poundswere classified as light-duty trucks and were required to meet the same standards As of 1979 the maximum weight was raised to8500 pounds GVWR During 1988-93 light-duty trucks were divided into two subcategories that coincide with the current LDT1-LDT4 categories The standards for LDT1 LDT2 and LDT3 are given in tables 4-30a 4-40b and 4-30c

c Emissions standards had to be met for a full useful life of 5 years50000 miles through model year 1983 and a full useful life of 11 years120000 miles was defined for 1985-93 (several useful life options were available for 1984) Beginning in model year 1996emissions standards were established for an intermediate useful life of 5 years50000 miles as well as a full useful life of 11years120000 miles (intermediate and full useful life standards are shown in parentheses) This applied to all pollutants except HC and particulates for all LDT4 vehicles and NOx for diesel-powered LDT4 vehicles which were only required to meet full useful lifestandards Tier 1 exhaust standards were phased-in during 1996-97 at a rate of 50 and 100 respectively

d The cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a 5-year50000-mile useful lifee GVWR is the maximum design loaded weight ALVW is the numerical average of the GVWR and the curb weightf Manufacturers can opt to certify vehicles for a full useful life of 15 years150000 miles and either have (1) intermediate useful life standards waived or (2) receive additional NOx credits

k The term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of standards that moves manufacturers toward compliance with Tier 2 standards Interim Tier 2 and Tier 2 standards are established as bins Each bin is a set of standards for NOx CO NMOG formaldehyde and particulate matter (HC and non-methane HC standards are dropped for Tier 2 and interim Tier 2) Manufacturers may certify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for LDT4 vehicles is 06 gramsmile Tier 2 standards will be phased in during 2008 and 2009 In 2008 50 of LDT4 vehiclesmust meet Tier 2 standards the others must meet Interim Tier 2 standards Beginning in 2009 all LDT4 vehicles must meet Tier 2standards

g The Prior to control column reports emissions estimates of a typical newly manufactured car in the years before exhaust emissionscertification standards were implementedh No estimate availablei In 1968-69 exhaust emissions standards were issued in parts per million rather than grams per mile and are therefore incompatiblewith this tablej No standard has been set

SOURCES40 CFR 86 Subpart A (July 1 2000)Federal Register Vol 65 No 28 pp 6851-6858

Engine type and pollutant 2004 2008 2009+GasolineNMOG 0195 (0280) 0125 (0156)CO 50 (73) 34 (42)

Cold-temp COc 125

NOx 06 (09) 014 (020)Particulates 012 (012) 002 (002)Formaldehyde 0022 (0032) 0015 (0018)DieselHC 13 gbhp-hrNMHC + NOx 24 gbhp-hr

NMOG g (0280) 0125 (0156)CO 155 gbhp-hr g (73) 34 (42)

NOx 40 gbhp-hr g (09) 014 (020)

Particulates 010 gbhp-hr g (012) 002 (002)Formaldehyde g (0032) 0015 (0018)Smoke opacity (acceleration lugging peak)d 201550

Weight Criteria Greater than 8500 pounds GVWR less than 10000 pounds GVWRTest procedure gasoline CVS-75Test procedure diesel EPA Transient CVS-75

Useful life-gasoline intermediatebe 5 years50000 milesUseful life-gasoline full 11 years120000 miles

Useful life-diesel intermediatebe g 5 years50000 milesUseful life-diesel full 8 years110000 miles 11 years120000 miles

SOURCE

a The MDPV category was created for the Interim Tier 2 and Tier 2 vehicle emissions standards This category was specifically designed to help bring passenger vehicles (such as large sport utility vehicles and passenger vans) over 8500 pounds GVWR into the Tier 2 programMDPVs are defined as any complete heavy-duty vehicle less than 10000 pounds GVWR designed primarily for transportation of personsincluding conversion vans (ie vans which are intended to be converted to vans used primarily for transporting people) This does not include vehicles that have 1) a capacity of more than 12 persons total or 2) are designed to accommodate more than 9 persons seated rearward of the drivers seat or 3) have a cargo box (ie a pickup-bed or box) of six feet or more in interior length Prior to Tier 2 standards these vehicles would have been regulated as light heavy-duty trucks

Table 4-31 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Medium-Duty Passenger Vehicles (MDPV)ab

(Grams per mile)Interim Tier 2f Tier 2f

KEY CO = carbon monoxide gbhp-hr = grams per brake horsepowerhour GVWR = gross vehicle weight rating HC = hydrocarbons NMHC=nonmethane hydrocarbon NMOG = nonmethane organic gases NOx = nitrogen oxides

b Diesel MDPVs can continue to use light heavy-duty truck standards for new vehicle certification until 2008 Note that these standards are measured in grams per brake horsepower-hour (gbhp-hr) Beginning in 2008 MDPVs must use the same on-chassis testing procedure as heavy light-duty trucks (catgories LDT3 and LDT4) and must meet standards for MDPVs Beginning in 2009 MDPVs must meet the samestandards as light heavy-duty trucks except MDPVs are not required to meet Supplemental Federal Test Procedure standards

cThe cold CO emissions standard is measured at 20 0F (rather than 75 0F) and is applicable for a full useful life of 5-years50000-miles

d Smoke opacity is expressed as a percentage for acceleration lugging and peak operation modes Lugging occurs when a vehicle is carrying a loadeManufacturers can opt to certify vehicles for a useful life of 15 years150000 miles and have either 1) intermediate useful life standards waived or 2) receive additional NOx credits

fThe term tier refers to a level of standards for specific years Interim 2 refers to an intermediate level of stndards that moves manufacturers toward compliance with Tier 2 standards Tier 2 and interim Tier 2 standards are established as bins Each bin is a set of standards for NOxCO NMOG formaldehyde and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2) Manufacturers may certifyany given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOxstandard is met for full useful life The Tier 2 corporate average NOx standard is 007 gramsmile Interim corporate-based average NOx standards are based on vehicle type The interim corporate sales-weighted average for MDPVs is 06 gramsmile Tier 2 MDPV standards will be phased in during 2008 and 2009 In 2008 50 of MDPVs must meet Tier 2 standards the other 50 of MDPVs must meet interim Tier 2 standards Beginning in 2009 all MDPVs must meet Tier 2 standardsgDiesel MDPVs are not required to meet intermediate life standards during this time period

40 CFR 86 Subpart A (July 1 2000) Federal Register Vol 65 No 28 pp 6851-6858

Engine type and pollutant 1970-73 1974-78 1979-83 1984 1985-86 1987 1988-89 1990 1991-93 1994-97 1998-2003 2004 2005-06 2007 2008+

GasolineHC + NOx j 16 10 j

NOx + NMHC j 10 j

NMHC j 014HC k j 15 19 11 jNOx j 106 60 50 40 j 020

CO k 40 25 371 144Particulates j 001DieselHC + NOx j 16 10 j

HC k j 15 13 jNOx j 107 60 50 40 j 020

NOx + NMHC j 24l j

NMHC j 014CO k 40 25 155Particulates j 060 025 010 001Smoke opacity (acceleration lugging peak)a 4020j 201550

Weight criteria for light heavy-duty trucksb

GVWR over 6000 lbs

GVWR over 8500 lbs GVWR 8501 through 14000 lbs

Test procedure gasolinec 9-mode steady-state MVMA transient

Test procedure dieselc 13-mode steady-state EPA transient

Useful life (gasoline)d 5 years50000 miles 8 years110000 miles 10 years110000 miles

Complete Vehicles - (Grams per mile)ef

Weight range and pollutant 2005-06 2007 2008+GVWR 8500 through 10000 lbs

NMOGg 028 e

NMHCh e 0195CO 73NOx 09 02Particulates e 002HCHO e 0032GVWR 10001 lbs through 14000 lbs

NMOGi 033 e

NMHCj e 0230CO 81NOx 10 04Particulates e 002HCHO e 0040

Test procedurei EPA HD-UDDS

Table 4-32a Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light Heavy-Duty Trucks (Grams per brake horsepower-hour)

NOTE

US Environmental Protection Agency Office of Transportation and Air Quality personal communication October 2001

k This test procedure currently exists to test complete vehicles that have been optionally chassis certified However chassis certification is not required until 2005l Required for complete gasoline heavy-duty vehicles only

Tables 4-32a and 4-32b are identical for heavy-duty diesel engines

SOURCES

a Smoke opacity is expressed in percentage for acceleration lugging and peak modes (accelerationluggingpeak) Lugging is when a vehicle is carrying a load

KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxides NMHC = nonmethane hydrocarbons NMOG =nonmethane organic gas HCHO = formaldeyhyde

b Gross vehicle weight rating (GVWR) is the maximum design loaded weight

40 CFR 86 Electronic Code of Federal Regulations Internet site at httpwwwaccessgpogovnaracfrcfrhtml_00Title_4040cfr86_00html as of Oct 9 2001

j The manufacturer has the option of satisfying this standard by measurement of nonmethane organic gas or total hydrocarbons

g Vehicles can meet a NMHC + NOx standard of 25 gbhp-h given they meet a NMHC standard of no more than 05 gbhp-hh Starting in 2005 complete gasoline heavy-duty vehicles of 14000 lbs GVWR or below will have to be chassis certified

i The manufacturer has the option of satisfying this standard by measurement of nonmethane hydrocarbons or total hydrocarbons

c Several testing procedures have been used during the course of exhaust emissions control A steady-state 9-mode test procedure (13-mode for diesel) was used for 1970-83 standards For 1984 either the steady-state tests or the US Environmental Protection Agency (EPA) transient test procedure could be used For diesels the EPA transient test was requiredfrom 1985 to the present For gasoline-powered vehicles either the EPA or the Motor Vehicle Manufacturers Association (MVMAtransient test procedure could be used during 1985-86 and the MVMA procedure was required thereafter d Emissions standards apply to the useful life of the vehicle Useful life was 5 years50000 miles through 1983 and became 8 years110000 miles beginning in model year 1985 1984 was a transitional year in which vehicles could meet the older standard (and test procedure) or the newer one Useful life requirement for gasoline-powered trucks meeting NOx standards for 1998 and after is 10 years110000 miles Starting in 2004 the useful life will be 10 years110000 miles The useful life requirements for heavy-duty diesel truck standards are more complex and vary by vehicle weight pollutant test procedure and year Consult theUS Code of Federal Regulations for further information e No standard setf Although emissions standards for HC and CO were in effect for these years they were not measured in grams per brake horsepower-hour and are therefore incompatible with the engine certification section of this table

6

Table 4-32b Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Heavy-Duty Trucks(Grams per brake horsepower-hour)

Engine type and pollutant1970-73 1974-78 1979-83 1984 1985-86 1987 1988-89 1990 1991-93 1994-97 1998-2003 2004 2005-200 2007 2008+

GasolineHC + NOx e 16 10 e

NOx + NMHC e 10 eNMHC e 014HC f e 15 19 eNOx e 106 60 50 40 e 020

CO f 40 25 371 144Particulates e 001DieselHC + NOx e 16 10 e

HC f e 15 13 eNOx e 107 60 50 40 e 020

NOx + NMHC e 24g e

NMHC 014CO f 40 25 155Particulates e 060 025 010 001Smoke opacity (acceleration lugging peak)a

4020e 201550

Weight criteria for heavy heavy-dutyb

GVWR over 6000lbs

GVWR over 8500 lbs GVWR over 14000 lbstrucksTest procedure gasolinec 13-mode steady-state MVMA transient

Test procedure dieselc 13-mode steady-state EPA transient

Useful life (gasoline)d 5 years50000 miles 8 years110000 miles 10 years110000 miles

KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxides NMHC = nonmethane hydrocarbons

a Smoke opacity is expressed in percentage for acceleration lugging and peak modes (accelerationluggingpeak) Lugging is when a vehicle is carrying a loadb Gross vehicle weight rating (GVWR) is the maximum design loaded weightc Several testing procedures have been used during the course of exhaust emissions control A steady-state 9-mode test procedure (13-mode for diesel) was used for 1970-83 standards For 1984 either the steady-state tests or the US Environmental Protection Agency (EPA) transient test procedure could be used For diesels the EPA transient test was required from 1985 to the present For gasoline-powered vehicles either the EPA or the Motor Vehicle Manufacturers Association (MVMA) transient test procedure could be used during 1985-86 and the MVMA procedure was required thereafter d Emissions standards apply to the useful life of the vehicle Useful life was 5 years50000 miles through 1983 and became 8 years110000 miles beginning in model year 1985 1984 was a transitional year in which vehicles could meet the older standard (and test procedure) or the newer one Useful life requirement for gasoline-powered trucks meeting NOx standards for 1998 and after is 10 years110000 miles Starting in 2004 the useful life will be 10 years110000 miles The useful life requirements for heavy-duty diesel truck standards are more complex and vary by vehicle weight pollutant test procedure and year Consult the US Code of Federal Regulations for further information e No standard setf Although emissions standards for HC and CO were in effect for these years they were not measured in grams per brake horsepower-hour and are therefore incompatible with this table g Vehicles can meet a NMHC + NOx standard of 25 gbhp-h given they meet a NMHC standard of no more than 05 gbhp-h

NOTETables 4-32a and 4-32b are identical for heavy-duty diesel engines

SOURCES40 CFR 86 Electronic Code of Federal Regulations internet site at httpwwwaccessgpogovnaracfrcfrhtml_00Title_4040cfr86_00html as of Oct 9 2001 US Environmental Protection Agency Office of Transportation and Air Quality personnal communication Oct 2001

Table 4-33 Federal Exhaust Emissions Standards for Newly Manufactured Motorcyclesa (gkm)b

PollutantEnginedisplacement

Emissions prior to controlsc

1978-79 1980-89 1990-96 1997+Gasoline-poweredHC 50-169 cc

10-1385

170-749 cc 5 + 00155(D-170)d 50750 cc and greater 14 50

CO 50 cc and greater 110-310 17 12Methanol-poweredTotal HC equivalent 50 cc and greater 50CO 50 cc and greater 12

Natural gas and LPG-poweredHC 50 cc and greater 50CO 50 cc and greater 12Useful life (Class I) 50-169 cc 5 years or 12000 km (7456 mi) whichever comes first

(Class II) 170-279 cc 5 years or 18000 km (11185 mi) whichever comes first(Class III) 280 cc and greater 5 years or 30000 km (18641 mi) whichever comes first

KEY cc = cubic centimeters D = engine displacement g = gram HC = hydrocarbon h = hour kg = kilogram km = kilometer lb = pound LPG = liquefied petroleum gas mi = miles mph = miles per hour

a A motorcycle is any motor vehicle with a headlight taillight and stoplight and having two or three wheels and a curb mass less than or equal to 793 kg (1749 lb) (The limit was 680 kg or 1499 lb prior to the 1998 model year) A motorcycle is excluded from the standards if it has a displacement of less than 50 cc (31 cubic inches) or if with a 80 kg (176 lb) driver it cannot start from a dead stop using only the engine or exceed a speed of 40 kmh (25 mph) on a level paved surface b Readers who wish to compare motorcycle regulations with passenger car and truck regulations should note that 50 gkm = 80 gmi and 12 gkm = 19 gmi The formula for 1978-79 HC emissions by motorcycles 170-749 cc becomes in gmi approximately 80 + 0025(D-170) c Estimates of emissions rates prior to controls are ranges of emissions for all engine displacements Not available for motorcycles powered by fuels other than gasoline d D = engine displacement in cubic centimeters (cc) For example the standard for a 300 cc engine would be 50 + 00155(300-170) = 70 gkm

SOURCE40 CFR 86 Subpart E (July 1 2000) US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

Table 4-34 Federal Exhaust Emissions Standards for Newly Manufactured and In-Use Aircraft Enginesab

Year of engine manufacture

Engine typec Pollutant 1974-75 1976-77 1978-82 1983 1984-96 1997-99 2000+Turboprop

Smoke g187(rO)-0168

Class T3 turbojet

CO (gkN)d 118HC (gkN)d 196NOx (gkN)d e40 + 2(rPR) f32 + 16(rPR)

Smoke 25 h836(rO)-0274

Class T8 turbojet

CO (gkN)d 118HC (gkN)d 196NOx (gkN)d e40 + 2(rPR) f32 + 16(rPR)

Smoke 30 h836(rO)-0274

Turbofan and turbojet engines other than Classes T3 T8 and TSS

CO (gkN)d 118HC (gkN)d 196NOx (gkN)d e40 + 2(rPR) f32 + 16(rPR)

Smoke i836(rO)-0274 j836(rO)-0274 h836(rO)-0274

TSS engines (supersonic aircraft engines)

HC (gkN) 140(092)rPR

Smoke h836(rO)-0274

KEY CO = carbon monoxide g = gram gkN = grams of pollutant per kilonewtons of thrust HC = hydrocarbon kN = kilonewtons kW = kilowatt NOx = nitrogen oxides rO = rated output which is the maximum power or thrust available for takeoff rPR = rated pressure ratio

a Federal standards apply to all planes operating in the United States regardless of where they were manufactured This table primarily displays exhaust emissions standards for newly manufactured aircraft engines Only two standards (smoke standards) have been set for in-use aircraft engines (see footnotes i and k) Therefore unless otherwised noted emissions in this table apply to new aircraft engines only b HC CO and NOx are measured using the International Civil Aviation Organization (ICAO) Gaseous Emissions Test Procedure Smoke is measured using the ICAO Smoke Emission Test Procedure There is no useful life or warranty period for purposes of compliance with emissions standards c Examples of commercial aircraft that use each engine type include the following

Class T3 turbojetndashBoeing 707-320s (Class T3 engines are currently out of production though some are still in use)Class T8 turbojetndashBoeing 727s and 737-200s and McDonnell-Douglas MD-80s and DC-9sTurbofans and turbojets other than T3 T8 and TSSndashBoeing 747-400s 757s 767-200s and 777s and McDonnell-Douglas MD-11s Canadair Regional JetsTurbopropsndashUsed mostly in regional airliners such as ATR 72 Dornier 328 and Saab SF 340

TSSndashBritish Aircraft CorpAerospatiale Concorde (the only supersonic aircraft currently used in commercial civil aviation)d Applies to engines with rOgt267 kNe Effective as of July 7 1997 This standard applies only to those engines of a type or model for which the date of manufacture of the first individual production model was on or before Dec 31 1995 and for which the date of manufacture of the individual engine was on or before Dec 31 1999f Effective as of July 7 1997 This standard also applies to engines of a type or model for which the date of manufacture of the first individual production model was after Dec 31 1995 and for which the date of manufacture of the individual engine was after Dec 31 1999g Engines with rOgt=1000 kWh Engines manufactured on or after Jan 1 1984 and with rOgt=267 kN Smoke number may not exceed 50i Engines with rated output rOgt=129 kN This is also the in-use standard for all such aircraft enginesj Engines with rOlt267 kN Smoke number may not exceed 50k Class T8 turbojet engines shall not exceed a smoke number of 30 beginning Feb 1 1974

SOURCE

40 CFR 87 Subparts A-D (July 1 2000) and US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

Table 4-35 Federal Exhaust Emissions Standards for Locomotivesa

(gbhph except where noted)

Pollutant Duty-cycle f

Tier 01973-2001h

Tier 12002-2004

Tier 22005+

Total HCb Line-haul 100 055 030Switch 210 120 060

Nonmethane HCc Line-haul 100 055 030Switch 210 120 060

Total HC equivalentdLine-haul 100 055 030Switch 210 120 060

CO

Line-haul 50 22 15Switch 80 25 24Line-haul (optional standard) 100 100 100Switch (optional standard) g 120 120 120

NOxLine-haul 95 74 55Switch 140 110 81

Particulates

Line-haul 060 045 020Switch 072 054 024Line-haul (optional standard) 030 022 010Switch (optional standard) g 036 027 012

Smoke opacity ( opacity-normalized) h

Steady-state 30 25 2030-second peak 40 40 403-second peak 50 50 50

Useful life 75 MWh per hp or 10 years i j

KEY bhp = brake horsepower bhph = brake horsepower hour CO = carbon monoxide g = gram h = hour MW = megawatt MWh = megawatt hour NOx = nitrogen oxides PM = particulate matter

a Locomotive standards apply to both new and remanufactured locomotives except as notedb The line-haul duty-cycle is weighted toward operation in the higher power notches and is typical of line-haul applications The switch duty-cycle is typical of switch operations with more emphasis on idle and low power notch emissions Locomotives generally are required to meet the standards for both duty-cycles However Tier 0 dedicated switch locomotives rated at 2300 hp or less are only required to meet the switch duty-cycle standard c Tier 0 standards apply to all new production locomotives in the 2001 model year as well as for any 1994 through 2001 model year freight locomotives remanufactured on or after Jan 1 2001 They also apply to all other 1973 through 2001 model year locomotives remanufactured on or after Jan 1 2002 Other phase-in options are also available for manufacturers (see 40 CFR 92 for more detail on phase-in options)d Total HC standards apply to locomotives powered by any fuel except alcohol or natural gas or fuels primarily composed of alcohol or natural gas e Nonmethane HC standards apply to locomotives powered by natural gas or fuels that are primarily composed of natural gas f Total HC equivalent standards apply to locomotives powered by alcohol or fuels that are primarily composed of alcohol g Manufacturers and remanufacturers can elect to comply with the alternate CO and PM standards However a manufacturer or remanufacturer using the alternate standards must meet both the CO and the PM standards This allows locomotives to have higher CO emissions in exchange for meeting more stringent PM standards h Smoke opacity values are normalized to be equivalent to a 1 meter path lengthi For Tier 0 locomotives not equipped with MWh meters the minimum useful life is 750000 miles or 10 years whichever comes first j This is a minimum standard The certifying manufacturer or remanufacturer must specify a longer useful life if the locomotive or locomotive engine is designed to last longer than the applicable minimum useful life

SOURCE 40 CFR 92 Jul 1 2000 and US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

HC + NOx (gkWh)Rated

power lt 43 kW Rated power gt= 43 kW cd

1998b27800 (0917 x (151 + 557P09)) + 244

1999 25300 (0833 x (151 + 557P09)) + 289

2000 22800 (0750 x (151 + 557P09)) + 333

2001 20400 (0667 x (151 + 557P09)) + 378

2002 17900 (0583 x (151 + 557P09)) + 422

2003 15500 (0500 x (151 + 557P09)) + 467

2004 13000 (0417 x (151 + 557P09)) + 511

2005 10500 (0333 x (151 + 557P09)) + 556

2006+ 8100 (0250 x (151 + 557P09)) + 600

SOURCE40 CFR 91 July 1 2000 edition pp 301-302 398 and US Environmental Protection Agency Office of Air and Radiation personalcommunication Aug 28 2001

Outboard engines 350 hr10 yr

Personalwatercraft 350 hr5

yr

yr for all emissions-related component

1 yr for all emission-related components 3 yr200 hr for

specified major emissions control components

2 yr200 hr for all emissions-related components 3 yr200 hr for specified major emissions control components

KEY g = gram hr = hour HC = hydrocarbon hp = horsepower kW = kilowatt kWh = kilowatt hour NOx = nitrogen oxide yr = year

a The standards apply to marine spark-ignition outboard personal watercraft and jet-boat engines only There are currently no federalstandards for marine spark-ignition sterndriveinboard engines (previously proposed standards have not been finalized) Marine compression-ignition engines under 50 hp are covered under the proposed nonroad compression-ignition engine standards Federal standards are in development for marine compression-ignition engines over 50 hp b P = the average power of the engine family in kilowatts (sales-weighted) c As an example the standards for an outboard engine of 125 hp (just over 93 kW) would be 14953 gkWh in 1998 12363 gkWh in 20009774 gkWh in 2002 7200 gkWh in 2004 and 4610 gkWh in 2006 d All emissions standards must be met for the useful life of the enginee The standards for personal watercraft did not go into effect until 1999 although the standard went into effect for outboard engines in 1998

Table 4-36 Federal Exhaust Emissions Standards for Newly Manufactured Marine Spark-Ignition Outboard Personal Watercrafte and Jet-Boat Enginesa (gkWh)

Year Warranty period Useful lifed

Enginecategoryc

Displacement(literscylinder) Rated power (kW) Year

NOx + THC (gkW-hr)

PM(gkW-hr)

CO(gkW-hr) Useful Lifed Warranty Period

lt 09 2005 75 04009 to lt 12 2004 72 03012 to lt 25 2004 72 02025 to lt 50 2007 72 02050 to lt 150 37 kW and above 78 027

150 to lt 200 37 kW to lt 3300 kW87 050

150 to lt 200 3300 kW and above 98 050

200 to lt 250 37 kW and above 98 050250 to lt 300 37 kW and above 110 050

3 30 and above 37 kW and above No Tier 2 emissions standards have been set for Category 3 commercial marine vessels

SOURCE

5 yrs or 5000 hrs operation

5 yrs or 10000 hrs operation

2007

50

50

1

2

37 kW and above10 yrs or 10000 hrs

operation

10 yrs or 20000 hrs operation

Federal Register Vol 64 No 249 Dec 29 1999 pp 73299 to 73373 and US Environmental Protection Agency Office of Air and Radiation personal communication Aug 28 2001

Table 4-37 Tier 2 Federal Exhaust Emissions Standards for Newly Manufactured Commercial Marine Compression-Ignition Enginesab

Category 1 (lt 5 liters displacementcylinder and rated power gt=37 kW) These engines are typically used as propulsion engines on relatively small commercial vessels (fishing vessels tugboats crewboats etc) They are also used as auxiliary engines on vessels of all sizes and applications

Category 2 (gt= 5 liters displacementcylinder to lt 30 liters displacementcylinder and rated power gt=37 kW) The largest engines that are widely used as propulsion engines in harbor and coastal vessels in US waters These engines also provide auxiliary power on very large vessels Many of these engines are of similar size and configuration as locomotive engines or use comparable emissions control technologies

Category 3 (gt= 30 liters displacementcylinder and rated power =37kW) These are very large high-power engines that are used almost exclusively for propulsion on vessels engaged in international trade

d Manufacturers must demonstrate that the engine or engine family will meet all standards for its useful life Certification for useful life is accomplished by testing a sample of engines The warranty period applies to each engine manufactured The manufacturer of each engine must provide a warranty to the ultimate purchaser or owner (and each subsequent purchaser or owner) that the engine is designed built and equipped so as to conform at the time of sale with Tier 2 standards and is free from defects in materials and workmanship that would cause the engine to fail to conform to these standards for the warranty period Furthermore this warranty cannot be shorter than any mechanical warranty on the engine and must be at least one half of the useful life period

KEY CO=carbon monoxide disp=displacement gkW-hr=gram per kilowatt-hour hrs=hourskW=kilowatt NOx=nitrogen oxides PM=particulate matter THC=total hydrocarbons yrs=years

a Tier 2 emissions standards established by Congress apply to commercial compression-ignition (diesel) engines with a power rating of at least 37 kW Both propulsion and auxiliary engines are covered under these standards but land-based engines used in portable auxiliary equipment must meet standards for land-based engines Smaller compression-ignition engines are covered under a separate rule The US Environmental Protection Agency (EPA) also intends to regulate recreational marine diesel engine emissions under a separate rule and is establishing provisions to allow exemptions for category 1 and 2 engines used as auxiliary engines in US-flagged vessels engaged in foreign trade or overseas operations at least 75 percent of the time (ie operation will occur more than 320 nautical kilometers outside the United States not including trips between US ports in Alaska Hawaii the continental United States or its territories)b MARPOL Annex VI nitrogen oxide (NOx) standards (international standards adopted by the International Maritime Convention on the Prevention of Pollution from Ships) are referred to as Tier 1 emissions standards These standards apply to any diesel engine over 130 kW installed on a vessel constructed on or after Jan 1 2000 and to any engine that undergoes major conversion after that date MARPOL standards are currently voluntary for ships engaged in domestic travel but will be required for ships engaged in foreign trade with countries that ratify MARPOL standards Although they have not yet been ratified by the United States the EPA encourages engine manufacturers to make compliant engines and encourages owners to purchase them If ratified by the United States MARPOL Annex VI NOx standards will be retroactively effective Jan 1 2000c Emissions standards are based on displacementcylinder and rated power The three standards categories are as follows

Table 4-38 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type using Gasoline and Diesel(Grams per mile)1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

GASOLINE (assuming zero RFG)Light-duty vehiclesExhaust HC 279 250 223 198 177 157 139 125 114 105 097 089 081 074 061 052 046 042Nonexhaust HC 121 117 112 109 107 105 103 101 098 095 091 088 084 081 077 072 068 062Total HC 400 367 335 307 284 262 241 226 212 200 188 177 165 154 137 125 113 104Exhaust CO 4289 3915 3554 3223 2932 2660 2418 2238 2086 1954 1853 1780 1698 1614 1379 1257 1087 1028Exhaust NOx 270 247 227 209 194 178 164 155 146 135 129 125 120 114 100 092 079 073Light-duty trucksExhaust HC 368 333 300 271 245 221 196 180 165 154 145 135 124 113 096 078 069 064Nonexhaust HC 137 130 121 117 113 111 108 105 102 100 098 095 090 084 080 076 071 066Total HC 505 463 421 388 359 332 304 285 268 254 243 230 214 198 176 154 140 131Exhaust CO 5623 5199 4793 4434 4077 3751 3447 3220 3023 2828 2681 2543 2385 2151 1876 1623 1433 1352Exhaust NOx 262 242 226 211 198 184 173 165 159 155 154 153 150 145 132 121 109 102Heavy-duty vehiclesExhaust HC 366 334 303 276 239 216 194 173 151 135 122 109 098 082 073 064 053 048Nonexhaust HC 274 260 234 225 216 207 197 187 179 169 162 154 148 141 135 124 114 107Total HC 640 594 537 500 455 424 391 360 329 304 284 263 246 224 208 188 167 154Exhaust CO 8561 7864 7212 6592 6001 5416 4852 4326 3882 3454 3108 2759 2473 2060 1846 1673 1451 1355Exhaust NOx 719 696 672 652 635 611 589 573 556 540 526 513 501 491 462 428 373 333MotorcyclesExhaust HC 201 188 182 175 172 169 163 163 162 161 161 161 161 161 161 161 161 161Nonexhaust HC 074 073 072 072 071 071 070 069 070 070 070 070 070 070 069 069 069 068Total HC 274 260 254 246 243 240 234 232 232 231 231 231 231 231 231 230 230 229Exhaust CO 1515 1478 1477 1476 1476 1467 1459 1459 1459 1459 1459 1459 1459 1459 1459 1458 1459 1459Exhaust NOx 126 128 128 128 128 126 125 125 125 125 125 125 125 125 125 125 125 125DIESELLight-duty vehiclesExhaust HC 068 069 071 073 075 077 079 081 081 082 080 076 073 073 060 058 048 036Exhaust CO 149 152 156 160 164 169 173 176 178 179 178 175 173 174 159 157 141 121Exhaust NOx 183 185 186 187 189 189 189 188 186 185 181 172 162 154 143 132 111 085Light-duty trucksExhaust HC 159 160 164 164 168 167 169 163 151 142 102 088 096 097 098 080 079 063Exhaust CO 267 270 276 277 285 285 289 279 260 244 177 154 166 168 168 137 134 106Exhaust NOx 271 266 262 256 253 246 242 231 217 207 176 164 167 166 159 137 130 109Heavy-duty vehiclesExhaust HC 221 197 174 155 138 123 110 100 092 085 079 074 069 061 058 054 051 048Exhaust CO 1006 922 843 771 700 632 573 523 480 443 410 382 358 337 319 305 290 266Exhaust NOx 2334 2214 2147 2110 2075 2049 2024 2004 1984 1914 1805 1668 1552 1392 1250 1145 1055 960Average Emissions Per Vehicle RFG and Diesel FleetExhaust HC 298 270 242 218 196 176 156 143 132 123 116 108 099 091 077 065 0581 0543Nonexhaust HC 121 116 110 106 104 101 099 097 094 091 089 086 082 077 074 069 065 0604Total HC 420 386 352 324 300 277 255 240 226 214 204 193 181 168 151 135 123 1147Exhaust CO 4507 4143 3793 3476 3184 2912 2665 2490 2340 2200 2094 2002 1894 1749 1524 1356 1195 11318Exhaust NOx 415 392 375 361 349 336 324 318 312 302 291 278 265 248 225 207 187 1726KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxide RFG = reformulated gasoline

NOTES

As of July 1 of each year Vehicles types are defined as follows light-duty vehicles (passenger cars up to 6000 lb GVWR) light-duty trucks (pickups and minivans up to 8500 lb GVWR) heavy-duty vehicles (8501 lbs or more GVWR) motorcycle (highway only) This table is based on MOBILE6 the US Environmental Protection Agencys (EPA) latest highway vehicle emissions factor model Interested readers can learn more about the MOBILE6 model at the following USEPA Internet site httpwwwepagovotaqm6htm Emissions factors are national averages based on the following assumptions ambient temperature 75 ordmF daily temperature range 60-84 ordmF average traffic speed 276 mph (representative of overall traffic in urban areas) standard operating mode (cold-start hot-start stabilized) vehicle-miles traveled fractions no inspectionmaintenance or antitampering programs and gasoline volatility 90 per square inch RVP (Reid vapor pressure) See Table 4-39 for emissions from vehicles operating on reformulated gasolineData for nonexhaust HC is negligible for diesel light-duty vehicles light-duty trucks and heavy-duty vehiclesAverage emissions per vehicle rates assume a fleet comprised exclusively of gasoline and diesel vehicles For emissions estimates of a fleet using RFG and diesel see table 4-39

SOURCEUS Environmental Protection Agency National Vehicle and Fuel Emissions Laboratory personal communication Nov 29 2007

Table 4-39 Estimated National Average Vehicle Emissions Rates per Vehicle by Vehicle Type using Reformulated Gasoline and Diesel (Grams per mile)

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007RFG (assuming 100 RFG) Light-duty vehiclesExhaust HC 145 128 115 104 097 084 076 068 062 055 047 041 038Nonexhaust HC 089 087 086 084 082 064 063 061 059 057 054 051 047Total HC 234 215 201 188 178 148 139 129 121 112 102 0921 0852Exhaust CO 2278 2084 1943 1825 1721 1536 1468 1388 1317 1249 1144 981 929Exhaust NOx 178 164 155 146 135 124 119 112 106 100 090 077 072Light-duty trucksExhaust HC 209 185 169 155 144 127 118 107 097 089 071 063 059Nonexhaust HC 093 091 089 087 085 068 067 064 062 059 056 053 050Total HC 302 275 258 242 229 196 184 171 159 148 128 1633 1086Exhaust CO 3186 2946 2770 2619 2463 2225 2109 1971 1778 1666 1447 1579 1203Exhaust NOx 184 173 165 159 155 147 145 141 136 131 120 107 101Heavy-duty vehiclesExhaust HC 214 191 170 148 132 116 103 092 077 070 062 051 045Nonexhaust HC 172 164 156 150 143 112 107 103 101 097 090 083 078Total HC 386 355 326 298 275 228 210 196 178 167 151 1337 1233Exhaust CO 4602 4115 3662 3280 2912 2587 2288 2041 1687 1533 1389 1201 1125Exhaust NOx 613 590 574 557 541 518 501 486 475 463 436 379 339MotorcyclesExhaust HC 169 163 163 162 161 161 161 161 161 161 161 161 161Nonexhaust HC 055 054 053 053 053 043 043 043 044 044 043 043 042Total HC 224 217 216 216 214 204 204 204 205 205 204 204 203Exhaust CO 1264 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256Exhaust NOx 126 125 125 125 125 125 125 125 125 125 125 125 125DIESELLight-duty vehiclesExhaust HC 077 079 081 081 082 080 076 073 073 060 058 048 036Exhaust CO 169 173 176 178 179 178 175 173 174 159 157 141 121Exhaust NOx 189 189 188 186 185 181 172 162 154 143 132 111 085Light-duty trucksExhaust HC 167 169 163 151 142 102 088 096 097 098 080 079 063Exhaust CO 285 289 279 260 244 177 154 166 168 168 137 134 106Exhaust NOx 246 242 231 217 207 176 164 167 166 159 137 130 109Heavy-duty vehiclesExhaust HC 123 110 100 092 085 079 074 069 061 058 054 051 048Exhaust CO 632 573 523 480 443 410 382 358 337 319 305 290 266Exhaust NOx 2049 2024 2004 1984 1914 1805 1668 1552 1392 1250 1145 1055 960Average Emissions Per Vehicle RFG and Diesel FleetExhaust HC 165 146 134 123 115 102 094 086 078 071 060 053 050Nonexhaust HC 086 084 082 080 078 062 060 058 057 054 052 049 046Total HC 251 230 216 203 193 164 155 144 135 126 112 1019 0953Exhaust CO 2492 2293 2156 2038 1927 1744 1662 1564 1443 1362 1218 1066 1012Exhaust NOx 336 324 318 312 302 285 271 258 240 224 206 186 171KEY CO = carbon monoxide HC = hydrocarbon NOx = nitrogen oxide RFG = reformulated gasoline

NOTESAs of July 1 of each year Vehicle types are defined as follows light-duty vehicles (passenger cars up to 6000 lb gross vehicle weight rating GVWR) light-duty trucks (pickups and minivans up to 8500 lb GVWR) heavy-duty vehicles (8501 lb or more GVWR) motorcycle (on-highway only) The data in this table are based on MOBILE6 and reflect the introduction of RFG starting in 1995 Interested readers can learn more about the MOBILE6 model at the following USEPA Internet site httpwwwepagovotaqm6htm Emissions factors are national averages based on the following assumptions ambient temperature 75 ordmF daily temperature range 60 -84 ordmF average traffic speed 276 mph (representative of overall traffic in urban areas) standard operating mode (cold-start hot-start stabilized) vehicle-miles traveled fractions and no inspectionmaintenance or antitampering programs Emissions estimates in this table assume 100 RFGAverage emissions per vehicle rates assume a fleet comprised exclusively of reformulated gasoline and diesel vehicles For emissions estimates of a fleet using gasoline and diesel see table 4-38

SOURCEUS Environmental Protection Agency National Vehicle and Fuel Emissions Laboratory personal communication Nov 29 2007

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007TOTAL all sources 20404 18840 18541 17685 15419 14713 14090 13590 13356 12678 12886 11791 11538 11454 11447 10626 11106 10624 10143 9662 9213 8825Highway vehicles 16323 15356 14383 13419 11026 10498 9971 9443 8916 8388 7861 7585 7324 6871 6806 6348 6060 5647 5235 4822 4473 4161Off-Highway 1137 1433 1669 1903 2145 2193 2242 2290 2339 2387 2436 2367 2369 2332 2418 2468 2266 2204 2142 2080 1967 1876Fuel combustion 463 448 730 849 551 586 615 559 552 593 434 433 433 554 478 483 547 541 534 527 528 530Industrial processesa 984 754 695 528 477 462 455 465 461 461 364 380 381 255 263 276 224 224 224 224 224 224Waste disposal and recycling 706 323 230 194 108 112 114 125 123 119 290 295 312 302 185 185 159 159 159 159 159 159Miscellaneous 791 526 834 793 1112 862 693 708 966 730 1502 732 718 1141 1296 868 1849 1849 1849 1849 1862 1875

Table 4-40 Estimated National Emissions of Carbon Monoxide (Million short tons)

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

SOURCE

Key R = Revised

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries other industrial processes and solvent utilization storage and transport

(R) 1970 (R) 1975 (R) 1980 (R) 1985 (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007TOTAL 2688 2638 2708 2576 2553 2518 2526 2536 2535 2496 2479 2471 2435 2284 2260 2155 2114 2033 1952 1871 1769 1703Highway vehicles 1262 1206 1149 1093 959 945 931 916 902 888 873 879 862 837 839 777 787 738 690 641 597 556Off-Highway 265 297 335 358 378 385 392 398 405 411 418 418 416 408 417 416 451 447 444 440 427 416Fuel combustion 1006 1049 1132 1005 1089 1078 1093 1111 1102 1083 1051 1055 1038 920 882 845 749 720 692 663 617 600Industrial processesa 078 054 056 080 080 072 076 074 077 077 080 084 085 078 081 085 095 095 095 095 093 092Waste disposal and recycling 044 016 011 009 010 010 010 012 011 010 016 016 016 016 013 013 011 011 011 011 011 011Miscellaneous 033 017 025 031 037 029 026 024 039 027 041 019 018 025 028 018 021 021 021 021 024 026KEY R = revised

Table 4-41 Estimated National Emissions of Nitrogen Oxides (Million short tons)

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and other industrial processes and solvent utilization storage and transport

SOURCE

Table 4-42 Estimated National Emissions of Volatile Organic Compounds (Million short tons) 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007

Total all sources 3466 3077 3111 2740 2411 2358 2307 2273 2257 2204 2087 1953 1878 1827 1751 1711 2116 2077 2037 1998 1916 1842Highway vehicles 1691 1539 1387 1235 939 886 833 780 728 675 622 599 586 568 533 495 492 464 436 408 382 360Off-Highway 162 192 219 244 266 271 275 280 285 289 294 275 267 268 264 262 306 299 293 286 274 265Fuel combustion 072 066 105 157 101 108 112 099 099 107 112 112 112 115 118 119 172 168 163 158 160 163Industrial processesa 1233 1110 1210 950 901 918 937 953 969 971 814 834 788 749 721 740 710 710 710 710 698 688Waste disposal and recycling 198 098 076 098 099 100 101 105 105 107 051 052 054 049 042 042 040 039 040 040 039 038Miscellaneous 110 072 113 057 106 076 049 056 072 055 194 082 072 079 073 053 397 397 397 397 363 328Key R = Revised

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and other industrial processes and solvent utilization storage and transport

SOURCE

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Total all sources 1302 756 701 4132 2775 2735 2710 2736 2861 2582 2286 2291 2289 2257 2296 2294 1843 1843 1842 1842 1641 1446Highway vehicles 048 046 043 041 039 037 035 034 032 030 029 027 026 024 023 021 020 020 019 019 016 015Off-Highway 016 021 026 030 033 033 033 034 034 034 034 034 033 034 032 032 031 031 031 031 027 027Fuel combustion 287 225 245 154 120 115 118 112 111 118 091 091 084 085 089 094 054 054 054 054 051 048Industrial processesb 767 370 275 106 104 099 099 091 091 095 065 067 067 050 051 054 105 105 105 105 104 103Waste disposal and recycling 100 037 027 028 027 028 028 033 031 029 045 047 049 047 036 036 024 024 024 024 023 023Miscellaneous 084 057 085 3774 2454 2423 2396 2433 2562 2277 2022 2025 2031 2018 2064 2057 1610 1610 1610 1610 1420 1230

Table 4-43 Estimated National Emissions of Particulate Matter (PM-10) a (Million short tons)

SOURCE US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

Key R = revised

b Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries other industrialprocesses solvent utilization and storage and transport

a Fine particulate matter less than 10 microns Data include PM without condensibles

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Total 756 732 720 715 754 693 673 626 626 640 650 622 3102 3095 3089 3082 2998 2958Highway vehicles 032 031 029 028 026 025 023 022 020 018 017 016 015 014 014 013 011 010Off-Highway 030 030 031 031 031 031 031 031 030 031 030 029 029 029 029 029 026 025Fuel combustion 091 089 093 085 084 090 067 067 063 067 072 074 029 029 029 029 025 022Industrial processesb 056 057 058 050 050 050 037 038 039 030 031 032 036 036 036 036 036 035Waste disposal and recycling 023 024 024 029 027 025 043 044 046 044 033 033 022 022 022 022 022 022Miscellaneous 523 500 485 493 536 473 472 424 428 450 468 438 180 180 180 180 181 182

Table 4-44 Estimated National Emissions of Particulate Matter (PM-25)a (Million short tons)

US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

SOURCE

Key R = revised

a Particulate matter less than 25 microns in size Data include PM without condensiblesb Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and otheindustrial processes solvent utilization and storage and transportation

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007TOTAL all sources 3122 2804 2593 2331 2308 2237 2208 2177 2135 1862 1839 1884 1894 1754 1635 1593 1478 1476 1474 1471 1351 1293Highway vehicles 027 033 039 046 050 047 044 040 037 034 030 030 030 030 026 025 025 021 018 015 012 009Off-Highway 028 030 032 035 037 038 039 039 040 041 041 042 043 048 044 044 051 051 051 052 046 040Fuel combustion 2346 2266 2139 2002 2029 1980 1949 1925 1889 1623 1625 1665 1674 1534 1416 1374 1280 1281 1282 1283 1174 1126Industrial processesa 709 468 377 243 186 168 172 165 162 159 137 143 143 133 138 143 106 106 106 106 105 103Waste disposal and recycling 001 005 003 003 004 004 004 007 006 005 003 003 003 003 003 004 003 003 003 003 003 003Miscellaneous 011 002 001 001 001 001 001 001 002 001 002 001 001 007 007 004 014 014 014 014 013 013

Table 4-45 Estimated National Emissions of Sulfur Dioxide (Million short tons)

SOURCE US Environmental Protection Agency Clearinghouse for Inventories and Emissions Factors (CHIEF) Current Emission Trends Summaries available at httpwwwepagovttnchieftrendsindexhtml as of December 2008

Key R = revised

a Industrial processes consists of chemical and allied product manufacturing metals processing petroleum and related industries and other industrial processes solvent utilization and storage and transport

Table 4-46 Estimated National Emissions of Lead (Thousand short tons)1970 1975 1980 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

TOTAL all sources 22088 15967 7416 2289 1477 768 705 549 498 417 381 392 405 393 408 414 406 420 423

Transportation total 17336 13133 6139 1874 1106 395 324 164 104 059 059 055 055 056 052 052 052 054 056

Highway vehicles 17196 13021 6050 1805 1025 332 257 098 042 002 002 002 002 002 002 002 002 002 002

Aircraft 140 112 089 069 081 063 067 066 062 057 057 053 053 054 051 050 050 052 055

Nontransportation total 4752 2834 1277 415 371 373 381 385 394 358 322 337 350 337 355 361 354 366 366

Fuel combustion 1062 1035 430 052 052 051 051 051 050 050 049 050 050 049 049 049 049 050 050

Industrial processesa

2636 1138 394 253 213 216 227 240 248 227 192 205 218 227 227 232 224 235 235

Waste disposal and recycling 220 160 121 087 084 084 082 077 080 081 081 083 083 060 079 080 081 081 081

Miscellaneousb

834 501 332 023 022 022 021 017 016 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001 lt001

a Industrial processes comprise chemical and allied product manufacturing metals processing and other industrial processesb Miscellaneous comprises other nonroad gasoline engines and vehicles that could not be accurately allocated to specific source categories

Total lead emissions decreased sharply from 1970 to 1995 as a result of regulatory actions The lead content ofleaded gasoline was reduced dramatically in 1985 In addition unleaded gasoline was introduced in 1975 for use in automobiles equipped with catalytic control devices By 1995 unleaded gasoline sales accounted for 99 of the gasoline market

The methodologies used to estimate emissions constantly evolve and undergo major changes Improved methods are often used to revise estimates for previous years Therefore some estimates in this table may not match estimates produced in previous reports and some trends may not be consistent across years in which major changes in methodology have occurred

1986-87 Ibid National Emission Trends source reports database available at Internet website wwwepagovairdatanettierhtml as of Sept 5 2001

The EPA now treats lead as a hazardous air pollutant (HAP) and the HAPs emission inventory report is published every three years

1988 Ibid National Air Pollutant Emission Trends 1900-1998 (EPA-454R-00-002) (Research Triangle Park NC March 2000) table A-2 available at Internet website httpwwwepagovttnchieftrendstrends98browsehtml as of Sept 5 2001

NOTES

SOURCES

Numbers may not add to totals due to rounding

1970 1975 US Environmental Protection Agency National Air Quality and Emissions Trends Report 1999 (EPA-454R-01-004) (Research Triangle Park NC March 2001) table A-2 available at Internet website httpwwwepagovoaraqtrnd99tochtml as of Sept 5 2001 1980 1985 and 1989-2000 Ibid Current Emission Trends Summaries available at internet website httpwwwepagovttnchieftrendstrends00trends2000pdf as of Oct 17 2002

(R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 2007Akron OH 18 22 7 23 21 26 16 37 40 14 28 38 15 10 30 5 22Albany-Schenectady-Troy NY 26 15 5 13 12 9 8 9 15 3 18 17 9 5 8 2 13Albuquerque NM 74 6 17 5 3 5 2 3 5 7 1 11 15 5 9 3 1Allentown-Bethlehem-Easton PA 22 13 5 10 18 19 22 39 31 18 34 38 13 13 16 10 12Atlanta GA 59 57 19 27 53 41 46 76 85 62 39 38 23 20 28 37 34Austin-San Marcos TX 23 4 1 8 28 5 2 9 14 14 5 8 9 8 9 13 4Bakersfield CA 54 143 17 129 133 127 94 104 161 164 158 186 169 160 122 137 131Baltimore MD 72 45 17 61 57 43 46 70 54 39 50 59 31 31 36 34 45Baton Rouge LA 38 25 15 19 31 15 23 29 42 47 17 16 23 22 29 23 17Bergen-Passaic NJ 20 22 6 0 0 0 0 1 2 1 1 1 2 1 4 2 1Birmingham AL 57 44 21 11 50 25 29 38 65 68 41 28 17 17 35 33 41Boston MA-NH 80 20 12 0 0 0 0 0 4 0 3 9 8 1 4 1 3Buffalo-Niagara Falls NY 41 19 10 13 12 6 5 26 22 7 24 29 13 8 23 7 18Charleston-North Charleston SC 21 5 10 3 1 5 5 12 13 9 0 4 3 3 8 7 5Charlotte-Gastonia-Rock Hill NC-SC 69 56 9 15 32 40 41 67 62 40 32 42 12 17 26 21 33Chicago IL 148 24 40 11 29 14 15 20 27 17 38 34 19 13 29 9 23Cincinnati OH-KY-IN 93 47 18 29 33 30 20 36 40 22 28 42 22 8 33 15 39Cleveland-Lorain-Elyria OH 83 23 27 32 30 29 23 40 50 29 44 39 22 22 36 17 22Columbus OH 30 30 7 23 27 26 17 40 37 16 20 38 12 3 20 5 13Dallas TX 91 15 7 35 36 22 35 54 33 44 32 18 13 15 33 28 11Dayton-Springfield OH 24 16 7 28 28 28 22 38 28 14 15 45 13 8 22 5 11Denver CO 83 23 22 13 11 12 7 18 9 15 17 26 32 2 11 27 21Detroit MI 76 21 32 21 20 26 18 33 41 17 41 34 25 11 38 12 21El Paso TX 60 18 12 8 6 10 5 12 7 15 13 10 10 3 8 8 6Fort Lauderdale FL 36 7 12 3 3 2 3 9 7 5 5 3 0 1 1 4 7Fort Worth-Arlington TX 37 21 6 53 52 28 27 32 33 38 31 37 38 25 43 34 12Fresno CA 44 105 20 90 91 105 118 86 164 164 186 204 167 84 95 97 93Gary IN 63 16 16 12 30 17 15 22 33 18 45 27 15 8 19 3 11Grand Rapids-Muskegon-Holland MI 41 23 13 30 32 19 19 32 36 15 31 31 22 9 31 16 22Greensboro-Winston Salem-High Point NC 62 39 9 20 25 18 30 48 38 29 22 42 13 5 14 8 21Greenville-Spartanburg-Anderson SC 25 14 9 14 30 27 40 57 56 47 31 49 13 13 22 20 14Harrisburg-Lebanon-Carlisle PA 16 19 8 28 28 17 21 37 31 17 42 35 13 8 19 13 19Hartford CT 31 16 6 23 26 10 18 22 22 14 26 30 13 9 19 12 16Honolulu HI 30 0 11 0 0 0 0 0 2 2 2 2 2 2 2 1 0Houston TX 103 38 23 55 82 38 58 61 64 57 42 40 47 37 49 31 25Indianapolis IN 88 35 27 45 39 32 27 36 43 17 27 38 17 4 34 14 24Jacksonville FL 27 9 14 1 1 2 1 14 6 3 5 1 0 4 6 7 8Jersey City NJ 17 14 8 19 21 15 20 16 28 9 17 22 10 5 13 13 12Kansas City MO-KS 79 20 15 23 34 15 23 25 14 23 14 23 22 1 26 24 10Knoxville TN 54 57 19 38 60 58 70 97 98 65 58 69 31 14 39 30 51Las Vegas NV-AZ 98 25 8 22 6 21 9 9 8 6 2 13 10 4 9 12 7Little Rock-North Little Rock AR 28 11 6 8 24 9 10 13 16 29 17 18 3 0 19 11 11Los Angeles-Long Beach CA 124 100 44 145 124 97 65 64 71 83 105 94 106 99 60 56 59Louisville KY-IN 55 37 17 47 41 28 32 48 78 29 36 50 21 9 39 15 30Memphis TN-AR-MS 44 38 14 37 56 39 35 55 56 52 33 34 29 11 37 30 35Miami FL 20 3 11 4 8 3 4 6 9 8 2 2 2 3 0 6 3Middlesex-Somerset-Hunterdon NJ 15 30 4 19 31 19 28 39 35 19 29 36 11 15 22 9 21Milwaukee-Waukesha WI 55 14 16 17 23 15 6 16 26 9 25 22 17 6 24 6 11Minneapolis-St Paul MN-WI 130 10 20 4 9 0 4 4 4 8 10 4 5 0 7 1 5Monmouth-Ocean NJ 5 21 4 41 34 31 32 46 35 19 35 46 25 22 27 19 21

Trend sites

(R) Number of days with

AQI gt 100 (2007)

(R) Total number of

sites in 2007(R)Number of

trend sites

Table 4-47 Air Pollution Trends in Selected Metropolitan Statistical Areas(Number of days with AQI values greater than 100 at trend sites and all monitoring sites)

All sites

Metropolitan Statistical Area

Nashville TN 51 38 19 31 46 46 44 45 66 49 23 33 20 7 26 17 35Nassau-Suffolk NY 22 16 5 28 20 14 23 27 28 12 14 22 15 6 19 11 14New Haven-Meriden CT 37 7 2 0 0 0 0 0 0 2 2 1 3 1 3 1 0New Orleans LA 61 17 13 23 37 15 22 19 42 33 19 7 16 12 16 14 17New York NY 131 27 18 26 25 21 33 27 27 26 33 37 17 13 23 17 20Newark NJ 44 21 16 33 33 24 23 35 36 17 34 43 14 8 18 25 21Norfolk-Virginia Beach-Newport News VA_NC 29 9 7 19 22 12 37 34 32 23 14 31 10 5 12 11 9Oakland CA 86 7 19 5 13 9 2 11 20 12 15 23 13 8 6 13 5Oklahoma City OK 30 5 9 21 29 10 15 35 17 16 24 10 13 6 12 31 4Omaha NE-IA 39 5 13 1 4 0 1 7 7 3 2 0 1 1 1 0 1Orange County CA 30 19 8 30 20 13 8 7 7 11 6 6 15 10 0 7 9Orlando FL 24 11 13 7 9 6 6 23 13 14 12 5 4 5 8 8 8Philadelphia PA-NJ 98 40 42 48 54 41 41 61 51 37 51 59 34 20 35 30 40Phoenix-Mesa AZ 160 205 26 33 41 45 33 47 47 35 25 22 26 9 23 25 11Pittsburgh PA 116 58 39 35 36 30 32 47 50 40 56 59 42 40 54 41 44Portland-Vancouver OR-WA 63 10 12 5 4 12 0 9 6 5 4 7 2 4 4 2 5Providence-Fall River-Warwick RI-MA 54 19 8 20 17 10 16 10 14 13 21 24 8 4 13 6 11Raleigh-Durham-Chapel Hill NC 60 29 6 11 10 13 29 46 43 16 11 39 8 3 12 7 17Richmond-Petersburg VA 31 25 9 26 28 23 40 50 39 17 24 40 14 5 23 14 19Riverside-San Bernardino CA 146 177 44 167 154 147 131 117 151 171 183 175 158 147 141 128 135Rochester NY 17 10 1 8 10 1 10 11 17 2 14 16 5 0 0 2 7Sacramento CA 92 57 21 69 61 70 39 55 93 65 72 90 66 55 58 74 32St Louis MO-IL 143 41 35 49 46 35 32 45 45 30 36 49 29 11 47 22 34Salt Lake City-Ogden UT 74 47 13 27 8 14 3 20 18 23 29 34 20 38 32 21 28San Antonio TX 29 4 2 7 32 7 10 12 20 5 4 26 18 6 10 8 3San Diego CA 62 35 26 90 94 61 39 51 49 58 53 35 40 27 26 39 33San Francisco CA 30 4 12 0 3 1 0 0 11 4 12 17 3 2 2 1 2San Jose CA 33 7 4 5 16 18 2 14 5 0 4 8 9 3 3 11 0SanJuan-Bayamon PR 53 1 10 0 0 1 1 0 0 0 1 0 0 0 0 0 1Scranton-Wilkes Barre-Hazleton PA 19 7 12 19 25 14 19 26 25 8 24 30 7 4 12 3 7Seattle-Bellevue-Everett WA 89 10 10 2 0 2 0 3 6 8 6 7 2 2 2 5 4Springfield MA 42 22 10 28 17 8 22 24 18 7 28 24 13 9 16 12 21Syracuse NY 19 10 5 8 10 3 6 10 12 2 13 19 4 0 8 3 8Tacoma WA 25 14 4 3 3 4 0 6 2 15 11 9 8 4 4 9 7Tampa-St Petersburg-Clearwater FL 73 14 24 10 14 8 24 20 23 29 18 5 13 11 15 9 12Toledo OH 18 8 6 12 15 20 8 15 18 9 24 23 15 9 25 4 5Tucson AZ 51 1 20 10 14 8 8 7 8 5 0 7 7 0 8 9 1Tulsa OK 29 5 8 26 39 23 12 24 24 21 21 22 16 1 19 24 2Ventura CA 38 23 14 97 100 95 75 54 54 57 52 26 47 41 36 31 22Washington DC-MD-VA-WV 124 44 39 43 54 39 51 65 61 35 41 54 21 21 36 32 38West Palm Beach-Boca Raton FL 24 3 4 0 0 0 0 0 0 1 0 0 0 0 0 0 2Wilmington-Newark DE-MD 41 27 9 46 47 22 31 42 40 24 36 34 24 10 22 20 25Youngstown-Warren OH 29 20 8 7 14 15 14 34 24 11 25 28 11 4 17 2 14

Data for 1999 to 2007 include particulate matter 25 micron in diameter (PM 25)

Particulate matter is the term for solid or liquid particles found in the air

The major reason for revisions to the historical data for the AQI is that changes in the National Ambient Air Quality Standards (NAAQS) are retroactively applied to the data for previous years to provide consistent comparisons over time In addition data from monitoring stations that have fallen belowsurpassed the criterion to qualify as a trend site is excludedincluded in the latest calculation of the index

US Environmental Protection Agency Office of Air and Radiation Air Trends Air Quality Index Information available at httpwwwepagovairairtrendsaqi_infohtml as of February 2009

The Air Quality Index (AQI) integrates information on 6 major pollutants (particulate matter less than 10 microns in diameter particulate matter less than 25 microns in diameter sulfur dioxide carbon monoxide ozone and nitrogen dioxide) across an entire monitoring network into a single number that representsthe worst daily air quality experienced in an urban area An AQI greater than 100 indicates that at least 1 criteria pollutant exceeded air quality standards on a given day therefore air quality would be in the unhealthful range on that day Air quality monitoring sites are selected as trend sites if they have complete data for at least 8 of the 10 last years

SOURCE

KEY AQI = Air Quality Index R = revised NOTES

O3 e CO SO2 PM-10 Pb NO2 O3 CO SO2 PM-10 Pb Total exposed1 AK Anchorage 1 1 255 195 2552 AK Fairbanks 1 39 393 AK Juneau 1 13 134 AL Birmingham 1 805 8055 AZ Ajo 1 1 7 7 76 AZ Douglas 1 1 15 15 157 AZ Miami-Hayden 2 1 4 4 48 AZ Morenci 1 8 89 AZ Nogales 1 24 24

10 AZ Paul Spur 1 1 111 AZ Phoenix 1 1 1 3028 3028 3111 311112 AZ Rillito 1 0 013 AZ San Manuel 1 7 714 AZ Yuma 1 82 8215 CA Imperial Valley 1 119 11916 CA Los Angeles-South Coast Air Basin 1 1 1 14550 14550 14550 1455017 CA Mono Basin (in Mono Co) 1 0 018 CA Owens Valley 1 7 719 CA Sacramento Metro 1 1 1978 1223 197820 CA San Diego 1 2813 281321 CA San Francisco-Oakland-San Jose 1 6541 654122 CA San Joaquin Valley 2 1 3302 3080 330223 CA Santa Barbara-Santa Maria-Lompoc 1 399 39924 CA Searles Valley 3 22 2225 CA Southeast Desert Modified AQMA 1 2 1024 424 102426 CA Ventura Co 1 753 75327 CO Aspen 1 5 528 CO Denver-Boulder 1 2389 238929 CO Fort Collins 1 143 14330 CO Lamar 1 8 831 CO Steamboat Springs 1 9 932 CT Greater Connecticut 1 1 2532 123 253233 DC-MD-VA Washington 1 4544 454434 DE Sussex County 1 156 15635 GA Atlanta 1 3698 369836 GUb Piti Power Plant 1 1 137 GUb Tanguisson Power Plant 1 1 138 ID Boise 1 197 19739 ID Bonner Co (Sandpoint ) 1 36 3640 ID Pocatello Area 2 66 6641 ID Shoshone Co 2 12 1242 IL-IN Chicago-Gary-Lake County 1 1 3 8757 484 322 875743 KY-WV Ashland-Huntington 1 49 4944 LA Baton Rouge 1 636 63645 MA Boston-Lawrence 1 5883 588346 MA Springfield (W Mass) 1 814 81447 MD Baltimore 1 2512 251248 MD Kent and Queen Anne Cos 1 59 5949 ME KnoxLincoln County 1 73 7350 ME Lewiston-Auburn 1 220 22051 ME Portland 1 487 48752 MO Liberty-Arcadia 1 6 653 MO-IL St Louis 1 g1 2482 2 248254 MT BillingsLaurel (Yellowstone Co) 1 6 655 MT Butte 1 34 3456 MT Columbia Falls 1 3 357 MT East Helena (Lewis amp Clark Co) 1 1 2 2 258 MT Kalispell 1 15 1559 MT Lame Deer 1 0 060 MT Libby 1 3 361 MT Missoula 1 1 52 52 5262 MT Polson 1 3 363 MT Ronan 1 2 264 MT Thompson Falls 1 1 165 MT Whitefish 1 5 566 NH Manchester 1 364 36467 NH Portsmouth-Dover-Rochester 1 192 19268 NJ Atlantic City 1 354 35469 NM Anthony 1 2 270 NM Grant Co 1 31 3171 NM Sunland Park f1 10 10

Table 4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants(Condensed nonattainment area list as of September 2003)

States Consolidated nonattainment area name aRef noNumber of areas in nonattainment d Area population in 1000s h

O3 e CO SO2 PM-10 Pb NO2 O3 CO SO2 PM-10 Pb Total exposed

Table 4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants(Condensed nonattainment area list as of September 2003)

States Consolidated nonattainment area name aRef noNumber of areas in nonattainment d Area population in 1000s h

72 NV Lake Tahoe 1 29 2973 NV Las Vegas 1 1 478 1375 137574 NV Reno 1 1 1 339 178 339 33975 NY Albany-Schenectady 1 892 89276 NY Buffalo-Niagara Falls 1 1170 117077 NY Essex City Whiteface 1 0 078 NY Jefferson Co 1 111 11179 NY Poughkeepsie 1 600 60080 NY-NJ-CT New York-N New Jersey-Long Island 1 1 19171 1537 1917181 OH Cleveland-Akron-Lorain 1 1095 109582 OH Lucas Co (Toledo) 1 455 45583 OH-KY Cincinnati-Hamilton 1 1514 151484 OH-PA Youngstown-Warren 1 120 12085 OR Grants Pass 1 20 2086 OR Klamath Falls 1 19 1987 OR LaGrande 1 12 1288 OR Lakeview 1 3 389 OR Medford 1 78 7890 OR Oakridge 1 3 391 OR Springfield-Eugene 1 179 17992 OR Salem 1 135 13593 PA Altoona 1 129 12994 PA Erie 1 280 28095 PA Harrisburg-Lebanon 1 629 62996 PA Johnstown 1 232 23297 PA Lancaster 1 470 47098 PA Pittsburgh-Beaver Valley 1 2 1 335 410 21 41099 PA Scranton-Wilkes-Barre 1 763 763

100 PA Warren Co 2 20 20101 PA York 1 473 473102 PA-DE-NJ-MD Philadelphia-Wilmington-Trenton 1 6311 6311103 PA-NJ Allentown-Bethlehem 1 1 740 102 740104 PR Guaynabo Co 1 92 92105 RI Providence (all of RI) 1 1048 1048106 TX Beaumont-Port Arthur 1 385 385107 TX Dallas-Fort Worth 1 4589 4589108 TX El Paso 1 1 1 679 62 563 679109 TX Houston-Galveston-Brazoria 1 4669 4669110 UT Ogden 1 77 77111 UT Salt Lake City 1 1 898 898 898112 UT Tooele Co 1 40 40113 UT Utah Co (Provo) 1 1 118 368 368114 VA Smyth Co White Top 1 0 0115 WA Spokane 1 1 322 204 322116 WA Wallula 1 0 0117 WA Yakima 1 1 63 63118 WI Door Co 1 27 27119 WI Manitowoc Co 1 82 82120 WI Milwaukee-Racine 1 1839 1839121 WV Follansbee 1 2 2122 WV New Manchester Gr (in Hancock Co) 1 9 9123 WV Wier-Butler-Clay (in Hancock Co) 1 1 16 15 16124 WY Sheridan 1 15 15

56 16 24 67 3 0 116228 19921 3660 31850 10 125730

c National total includes Guam (US territory)

e 1-hour ozone standardf Ozone nonattainment area is a portion of Dona Ana County New Mexicog Lead nonattainment area is Herculaneum Missouri in Jefferson County

The Total exposed values represent estimated population living in areas that are in nonattainment for at least one pollutant

NOTEReference numbers 1-124 do not indicate ranking

SOURCE

US Environmental Protection Agency Office of Air Quality Planning and Standards National Air Quality and Emissions Trends Report 2003 (Research Triangle Park NC 2003) table A-19 Internet website httpwwwepagovairtrends as of Nov 17 2006

KEY CO = carbon monoxide NO2 = nitrogen dioxide O3 = ozone Pb = lead PM-10 = particulate matter smaller than 10 microns SO2 = sulfur dioxide = all areas in attainment for a particle or pollutant

a This is a simplified listing of classified nonattainment areas Unclassified and Section 185a (transitional) nonattainment areas are not included Names of nonattainment areas are listed alphabetically within each state Note that several smaller nonattainment areas may be inside one larger nonattainment area In these cases the smaller nonattainment areas are listed on the same line as the larger one and the number of nonattainment areas are indicated under each pollutant b Guam (US territory)

d The number of nonattainment areas for each of the criteria pollutants is listed A dot () indicates that all areas are in attainment for that pollutant

h Population figures were obtained from the 2000 census data For nonattainment areas defined as only partial counties population figures for just the nonattainment area were used when these were available Otherwise whole county population figures were used When a larger nonattainment area encompasses a smaller one double counting the population in the Total exposed column is avoided by only counting the population of the larger nonattainment area

National totals (124 areas)c

Table 4-49 US Carbon Dioxide Emissions from Energy Use by Sector (Million metric tons of carbon)Sector (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 (P) 2007Total US CO2 Emissions from energy use by sector 13686 13556 13826 14113 14328 14476 14985 15209 15312 15482 15969 15694 15873 16002 16270 16295 16108 16337Transportation 4316 4258 4315 4392 4504 4587 4705 4756 4853 4986 5107 5047 5156 5174 5342 5421 5491 5493Natural gas 99 90 88 93 103 105 107 114 96 98 97 95 103 92 87 91 91 97Electricity 09 09 09 09 09 09 09 09 09 09 10 10 10 12 13 13 13 14Petroleum 4208 4159 4218 4290 4393 4473 4589 4633 4747 4879 4999 4943 5044 5070 5242 5317 5387 5383

Motor gasoline 2623 2606 2644 2726 2759 2808 2856 2882 2966 3041 3060 3074 3152 3162 3221 3227 3234 3219Liquid petroleum gas 04 03 03 03 05 03 03 02 03 02 02 02 02 03 03 05 05 05Jet fuel 607 587 582 587 610 606 633 639 649 669 692 662 646 631 654 672 653 649Distillate fuel 730 718 735 757 804 837 892 932 960 998 1030 1056 1076 1130 1183 1212 1279 1288Residual fuel 218 220 230 194 190 196 183 153 145 143 191 126 145 123 159 180 195 200Lubricants 18 16 16 17 17 17 16 17 18 18 18 17 16 15 15 15 15 15Aviation gas 08 08 08 07 07 07 07 07 07 07 07 07 06 06 06 07 06 06

Industrial 4600 4483 4688 4662 4744 4741 4887 4964 4895 4836 4872 4679 4678 4688 4757 4560 4506 4471Residential 2623 2665 2669 2834 2815 2834 2996 2972 2991 3055 3222 3186 3262 3340 3329 3422 3267 3407Commercial 2148 2150 2155 2225 2264 2314 2397 2517 2573 2606 2768 2782 2776 2801 2842 2891 2844 2965Total US CO2 Emissions (Incl adj and other sources)a 13693 13563 13864 14201 14436 14585 15092 15301 15375 15566 16069 15836 16036 16195 16427 16450 16214 16422KEY CO2 = carbon dioxide P = preliminary R = revised

a Adjustments comprise the addition of US territories and the subtraction of military bunker fuels and international bunker fuels Other sources comprise the addition of gas flaring CO2 in natural gas cement production other industrial and limestone consumption

NOTESElectric utility emissions are distributed across end-use sectorsNumbers may not add to totals due to independent roundingTons of carbon can be converted to tons of carbon dioxide gas by multiplying by 3667 One ton of carbon equals 3667 tons of carbon dioxide gasNumbers in this table may not be comparable to the numbers in the previous edition of the report due to changes in methodology of estimation by the Energy Information Administration

SOURCEUS Department of Energy Energy Information Administration Emissions of Greenhouse Gases in the United States 2007 (Washington DC 2007) available at httpwwweiadoegovoiaf1605ggrptindexhtml as of March 2009

Section EWater Pollution Noise

and Solid Waste

Table 4-50 Petroleum Oil Spills Impacting Navigable US Waterways1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004

Source IncidentsGallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled Incidents

Gallons spilled

TOTAL all spills 6169 8436248 8177 7915007 9038 2638229 9335 3117831 8624 942574 8315 885303 8539 1172449 8354 1431370 7559 854520 4497 638882 4192 401140 3897 1416714Vessel sources total 1662 4862911 2485 6387158 5478 1624153 5586 1681020 5347 380879 5172 621235 5680 576475 5560 1033643 5021 569856 1816 247382 1715 210805 1705 1306557

Tankship 164 732397 249 4977251 148 125491 122 219311 124 22429 104 56673 92 8414 111 608176 95 125217 55 4753 38 4450 35 636834Tank barge 385 3683548 457 992025 353 1101938 313 1163258 252 165649 220 248089 227 158977 229 133540 246 212298 126 30219 156 102874 143 215822Other vesselsa 1113 446966 1779 417882 4977 396724 5151 298451 4971 192801 4848 316473 5361 409084 5220 291927 4680 232341 1635 212410 1521 103481 1527 453901

Nonvessel sources total 2802 3250229 2584 1408472 1116 958222 1078 1408303 1356 501265 1553 246716 1615 551381 1645 373761 1465 270523 1286 200871 1140 78563 1137 70456Offshore pipelines 23 17977 73 46228 7 1143 4 386 13 810 10 843 5 35707 4 17 13 1241 0 0 1 14952 0 0Onshore pipelines 362 759040 76 270700 23 10751 13 978006 19 223312 35 47020 20 433 21 17004 21 12336 0 0 0 0 1 15000Otherb 2417 2473212 2435 1091544 1086 946328 1061 429911 1324 277143 1508 198853 1590 515241 1620 356740 1431 256946 1286 200871 1139 63611 1136 55456

Mysteryc 1705 323108 3108 119377 2444 55854 2671 28508 1921 60430 1590 17352 1244 44593 1149 23966 1073 14141 1395 190630 1337 96819 1055 39700

a Other vessels include commercial vessels fishing boats freight barges freight ships industrial vessels oil recovery vessels passenger vessels unclassified public vessels recreational boats research vessels school ships tow and tug boats mobile offshore drilling units offshore supply vessels publicly owned tank and freight ships as well as vessels not fitting any particular class (unclassified)b Other nonvessel sources include designated waterfront facilities nonmarine land facilities fixed offshore and inshore platforms mobile facility municipal facility aircraft land vehicles railroad equipment bridges factories fleeting areas industrial facilities intakes locks marinas MARPOL reception facilities nonvessel common carrier facilities outfalls sewers drains permanently moored facilities shipyards ship repair facilitiesc Mystery spills are spills from unknown or unidentified sources US Coast Guard investigators are unable to identify the vessel or facility that spilled the oil into US navigable waters

SOURCEUS Coast Guard Oil Spill Compendium 2004 available at httpwwwuscgmilhqg-mnmcresponsestatsaahtm as of Aug 7 2007

10182007 NTS 2002 USCG

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total confirmed releases 87528 126816 184457 237022 270567 303635 317488 341773 371387 397821 412392 418918 427307 439385 447233 452041 464728 474127Cleanups initiated 51770 79506 129074 171082 209797 238671 252615 292446 314965 346300 367603 379243 384029 403558 412657 421924 435631 446940Cleanups not initiated 35758 47310 55383 65940 60770 64964 64873 49327 56422 51521 44789 39675 43278 35827 34576 30117 29097 27187Cleanups completed 16905 26666 55444 87065 107448 131272 152683 178297 203247 228925 249759 268833 284602 303120 317405 332799 350813 365361Releases not cleaned up 70623 100150 129013 149957 163119 172363 164805 163476 168140 168896 162633 150085 142705 136265 129828 119242 113915 108766

Table 4-51 Leaking Underground Storage Tank Releases and Cleanups

SOURCES1990 US Environmental Protection Agency Office of Underground Storage Tanks personal communications Nov 17 and 18 19981991-2006 Ibid Internet site httpwwwepagovswerust1catcamarchvhtm as of Feb 22 2008

All numbers are cumulativeData represent fiscal year October 1 through September 30

NOTES

Unknown 1963-1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004Total 1963-

2004TOTAL length 6 328 54 45 65 54 106 103 64 99 (R) 143 88 89 (R) 133 54 (R) 102 (R) 140 (R) 54 (R) 82 (R) 132 78 89 105 2205Type I barriersa d6 210 39 30 40 35 83 88 44 78 114 63 47 (R) 95 37 (R) 70 (R) 116 (R) 31 (R) 67 (R) 95 63 78 88 1613Type II barriersb 0 114 14 14 24 16 8 8 19 18 18 21 16 32 15 31 23 (R) 18 (R) 11 (R) 18 13 4 14 471All other typesc N 4 1 1 1 3 15 7 1 3 (R) 11 4 26 (R) 6 2 (R) 1 1 (R) 5 (R) 4 (R) 19 2 7 3 121Cost (2004 $ millions) 0 329 67 57 106 72 168 163 108 176 228 144 135 203 79 180 242 110 147 207 190 171 159 3442

c All other types of barriers are nonfederally fundedd Have not been assigned a year of construction or a cost

Table 4-52 Highway Noise Barrier Construction (Miles)

US Department of Transportation Federal Highway Administration Office of Environment and Planning Highway Traffic Noise Barrier Construction Trends (Washington DC May 2006) tables 1 and 3

KEY N = data do not exist R = revised

SOURCE

NOTESForty-five miles of barriers while assigned a year of construction cannot be assigned a cost California did not provide data for the years 1999 - 2004 and therefore these years may not be comparable with previous years

a A Type I barrier is built on a new highway project or a physically altered existing highway b A Type II barrier is built to abate noise along an existing highway (often referred to as retrofit abatement) and is not mandatory

182007 NTS 2002 FHWA

Table 4-53 Number of People Residing in High Noise Areas Around US Airportsabc

(Within 65 dB DNL noise-level contours)Exposure

YearPeople

(thousands)

Percent of US resident

population

US resident population (millions)

1975 7000 324 21601980 5200 229 22721985 3400 143 23791990 2700 108 24961995 1700 064 26631996 1500 056 26941997 1300 048 27261998 1100 040 27591999 680 024 27902000 440 016 28222001 411 014 28512002 294 010 28792003 289 010 29082004d 208 007 29372005d

148 005 2964KEY dB = decibels DNL = day-night sound level R = revised N = Not applicable

a Noise-level contours are graphical representations of noise levels on a map similar to elevation contours on a topographic map Noise-level contours are lines that join points of equal sound levels Areas between given noise-level contour lines would have a noise level between the two contour values The US Department of Transportation Federal Aviation Administration (FAA) has identified DNL 65 dB as the highest threshold of airport noise exposure that is normally compatible with indoor and outdoor activity associated with a variety of land uses including residential recreational schools and hospitalsb Estimates are for areas surrounding airport property of 250 of the largest civil airports with jet operations in the United States They exclude exposure to aircraft noise within an airport boundaryc 1975 exposure estimates were made by the US Environmental Protection Agency 1980ndash2003 estimates were made by FAA dAs of 2004 the FAA no longer publishes the number of people exposed to noise These are now tracked as percent reduction numbers which were used to compute the exposure values for these yearsSOURCESExposure

1975-2005 US Department of Transportation Federal Aviation Administration Office of Environment and Energy (AEE-12) personal communications Sept 19 2002 Jan 18 2004 Mar 15 2005 and June 21 2007 Performance and Accountability ReportPopulation1975-85 US Department of Commerce Census Bureau Historical National Population Estimates Internet site httpwwwcensusgovpopestarchives1990spopclockesttxt as of Mar 17 20051990-99 Ibid National Intercensal Estimates Internet site httpwwwcensusgovpopestarchivesEST90INTERCENSALUS-EST90INThtml as of Mar 17 20052000-05 Ibid Monthly Population Estimates for the United States Internet site httpwwwcensusgovpopestnationalNA-EST2004-01html as of June 19 2007

Table 4-54 Motor Vehicles Scrapped (Thousands)1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL motor vehicles 8298 6576 10137 9829 11073 10850 12781 8413 12369 10332 10811 12509 11665 11664 14299 14122 13296 12085 11903 9989 12008 12707Passenger cars 7461 5669 8405 7729 8897 8565 11194 7366 7824 7414 7527 8244 6819 7216 8085 7650 U U U U U UTrucks 837 908 1732 2100 2177 2284 1587 1048 4545 2918 3284 4265 4846 4447 6214 6472 U U U U U U

KEY U = data are not available

NOTESFigures represent vehicles that are not re-registeredNumbers may not add to totals due to rounding

SOURCES1970-2001 The Polk Co personal communication July 31 20022002-07 National Automobile Dealers Association NADA Data Vehicles in Operation and Scrappage available at httpwwwnadaorgPublicationsNADADATA as of February 2009

appendix a

Metric Conversion Tables

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Highwaya 5706240 5937942 6002985 6176897 6211806 6218364 6223214 6250563 6278181 6284828 6287055 6296117 6308068 6350265 6286564 6304192 6334735 6354229 6383439 6395705 6407622 6430351 6464318Class I railbc 333672 321544 316202 308222 265255 234584 192732 187691 181946 177712 175953 174234 170235 164359 161852 160017 159727 157421 161136 159528 157172 154223 152794Amtrakc N N N N 38624 38624 38624 40234 40234 40234 40234 38624 40234 40234 35406 37015 37015 37015 37015 36492 35818 35417 34936Transitd

Commuter railc N N N N N 5752 6649 6498 6457 6583 6583 6695 5926 7108 8324 8354 8383 8382 10993 10959 11065 11455 11220Heavy rail N N N N N 2081 2174 2203 2258 2336 2342 2346 2379 2457 2457 2478 2507 2530 2530 2571 2569 2610 2613Light rail N N N N N 618 777 887 898 865 904 913 1027 1061 1088 1291 1343 1444 1544 1603 1910 1912 2060Navigable channelse 40234 40234 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843 41843Oil pipelinef 307295 339358 351917 363533 351469 343764 335954 328029 316309 312181 306339 292759 285715 289478 287506 285599 284847 (R) 254675 (R) 259088 (R) 257316 260183 256710 272536Gas pipelineg 1015416 1235204 1469761 1575971 1692666 1800655 1913832 1944409 1957123 2055454 2073479 2056098 2130128 2143324 2174546 2157004 2203675 2210434 2271428 2292028 2353344 2313432 2469216

1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 58 2001-06 US Department of Transportation Pipeline and Hazardous Materials Administration Office of Pipeline Safety Pipeline Statistics Internet site httpopsdotgovstatshtm as of March 31 2008Gas pipeline1960-2006 American Gas Association Gas Facts 2005 (Arlington VA 2006) table 5-1 and similar tables in earlier editions

1997-99 Ibid Waterborne Commerce Statistics Center Databases personal communication Aug 3 20012000-04 Ibid personal communication Apr 21 20062005-06 US Army Corps of Engineers personal communication Dec 12 2006(Pending confirmation for 2006)Oil pipeline

Transit 1985-2006 US Department of Transportation Federal Transit Administration National Transit Database 2005 (Washington DC 2006) table 23 and similar tables in earlier editions Internet site httpwwwntdprogramgovntdprogram as of Nov 9 2007Navigable channels1960-96 US Army Corps of Engineers Ohio River Division Huntington District Ohio River Navigation System Report 1996 Commerce on the Ohio River and its Tributaries (Fort Belvoir VA 1996) p 2

Amtrak1980 Amtrak Corporate Planning and Development personal communication (Washington DC)1985-2001 Amtrak Corporate Planning and Development Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2007) p 77 and similar tables in earlier editions

1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC Annual issues) table HM-212

1996-2006 Ibid Highway Statistics table HM-20 (Washington DC Annual issues) Internet site httpwwwfhwadotgovpolicyohpihssindexhtm as of Feb 18 2008Class I rail1960-2006 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 45 and similar tables in earlier editions

1609344 kilometers = 1 mile

SOURCESHighway

f Includes trunk and gathering lines for crude-oil pipelineg Excludes service pipelines Data not adjusted to common diameter equivalent Kilometers as of the end of each year Includes gathering transmission and distribution mains Prior to 1990 data also include field lines See table 1-10 for a more detailed breakout of oil and gas pipeline kilometers Length data reported in Gas Facts prior to 1990 was taken from the American Gas Associations member survey the Uniform Statistical Report supplemented with estimates for companies that did not participate Gas Facts length data is now based on information reported to the US Department of Transportation on Form 7100

NOTE

b Data represent kilometers of road owned (aggregate length of road excluding yard tracks sidings and parallel lines)c Portions of Class I freight railroads Amtrak and commuter rail networks share common trackage Amtrak data represent kilometers of road operatedd Transit system length is measured in directional route-kilometers Directional route-kilometers is the distance in each direction over which public transportation vehicles travel while in revenue service Directional route-kilometers are computed with regard to direction of service but without regard to the number of traffic lanes or rail tracks existing in the right-of-way Beginning in 2002 directional route-kilometers data for the commuter and light rail modes include purchased transportation The 2002 data has been revised to include purchased transportation data

e These are estimated sums of all domestic waterways which include rivers bays channels and the inner route of the Southeast Alaskan Islands but does not include the Great Lakes or deep ocean traffic The Waterborne Commerce Statistics Center monitored 20297 kilometers as commercially significant inland shallow-draft waterways in 2001

Table 1-1M System Kilometers Within the United States

KEY N = data do not exist U = data are not available

a All public road and street kilometers in the 50 states and the District of Columbia For years prior to 1980 some kilometers of nonpublic roadways are included No consistent data on private road kilometers are available Beginning in 1998 approximately 70000 kilometers of Bureau of Land Management Roads are excluded

1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 d1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL lane-kilometers 12749503 12903711 12956959 13016041 13074455 13087501 13104911 13129436 13162268 13264917 13133628 13161188 13235639 13280060 13349784 13381890 13420032 13472974 13551624Urban total 2245429 2482154 2688403 2708127 2830403 2902894 2938464 2961365 2989596 3029873 3044248 3051294 3082703 3165655 3229046 3393543 3539197 3642525 3715335

Interstates 77986 92207 100124 101109 108254 111341 113993 114870 115535 116286 117492 117954 118950 119837 120873 128089 133456 138381 141532Other arterialsb 536995 598111 642733 647536 673041 700686 712093 717491 723368 730035 730739 724866 734152 736383 744893 779198 813247 843036 857673Collectors 233561 261320 270000 266005 283465 289123 295078 297780 300823 303925 301805 299876 303474 305032 307132 333707 350274 362984 373131Local 1396888 1530515 1675546 1693477 1765643 1801744 1817300 1831224 1849870 1879627 1894212 1908598 1926127 2004404 2056148 2152549 2242220 2298124 2342999

Rural total 10504074 10421557 10268556 10307914 10244052 10184606 10166447 10168070 10172671 10235043 10089380 10109894 10152936 10114405 10120738 9988347 9880835 9830449 9836290Interstates 210792 212284 218663 219680 214794 212655 211252 212298 213983 214308 214415 215971 216597 216679 216569 209833 205817 202076 200170Other arterialsb 816095 820773 832581 833339 847664 846364 852659 854089 857549 864200 865816 867908 869781 872807 875501 859837 856243 852236 846010Collectorsc 2303401 2360568 2361876 2361810 2319815 2308561 2304885 2281129 2279896 2283075 2278467 2275537 2276686 2275862 2267167 2234598 2222041 2210189 2209478Local 7173786 7027931 6855435 6893084 6861779 6817027 6797650 6820554 6821243 6873460 6730682 6750479 6789872 6749058 6761501 6684079 6596733 6565948 6580632

1996-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-60 Internet site wwwfhwadotgovpolicyohpi as of Jan 4 2008

In estimating rural and urban lane kilometers the US Department of Transportation Federal Highway Administration assumes that rural minor collectors and urbanrural local roads are two lanes wide

SOURCES

1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management table HM-260 (unpublished)

c Includes minor and major collectors d Beginning in 1998 approximately 138400 lane-kilometers of Bureau of Land Management roads are excluded

NOTE

Table 1-6M Estimated US Roadway Lane-Kilometers by Functional Systema

a Includes the 50 States and the District of Columbiab For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterials

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air

Air carrier large certificated domestic all services 1381 1825 3328 3135 4060 4902 6378 6202 6429 6690 7049 7450 7743 7903 8103 8582 9115 8929 9039 9793 10544 10806 10652General aviationa 2847 4123 5161 6820 8375 7520 7319 7081 5576 5235 5404 6107 5671 6239 N N N N N N N N N

Highwayb total 1156735 1428795 1785928 2136668 2457943 2856306 3451016 3495576 3616439 3695662 3794170 3898951 4000585 4122648 4235024 4330835 4420747 4501797 4595495 4651728 4771364 (R) 4811021 4850749Passenger carbc 944704 1163066 1475286 1663981 1788940 2006527 2266384 2185787 2207326 2212380 2262881 2314710 2365501 2418129 2493802 2525222 2575412 2620546 2669055 2690950 2735708 (R) 2749437 2707996Motorcyclec h h 4794 9059 16438 14622 15381 14771 15381 15942 16480 15767 15965 16224 16549 17033 16848 15512 15372 15413 16290 (R) 16824 19957Other 2-axle 4-tire vehicleb h h 198410 322995 468214 629191 924682 1045098 1137586 1200168 1230559 1271428 1314094 1369132 1397353 1450054 1485519 1517945 1554681 1583746 1653060 (R) 1675409 1752597Truck single-unit 2-axle 6-tire or more 158602 207234 43583 55693 64073 73130 83527 85131 86702 91366 98627 100914 103114 107654 109469 113143 113459 116594 122094 125138 126239 (R) 126327 129280Truck combination 46436 50960 56543 75195 110527 125630 151827 155535 160146 165949 175309 185800 191349 200499 206574 213051 217294 219811 223276 225566 229122 (R) 231791 229663Bus 6994 7533 7313 9745 9751 7207 9215 9254 9299 9857 10314 10332 10562 11011 11277 12331 12215 11389 11016 10916 10945 (R) 11233 11256

Transitd total 3449 3232 3031 3502 3680 4492 5217 5321 5399 5528 5580 5714 5875 (R) 6029 (R) 6106 (R) 6394 (R) 6569 6753 (R) 6889 (R) 7029 (R) 7181 (R) 7420 7539Motor buse 2537 2460 2268 2456 2699 2998 3428 3487 3505 3556 3479 3514 3574 3612 3500 3663 3726 3825 3880 3896 3977 4015 4015Light rail 120 67 54 38 28 27 39 44 46 45 55 56 61 66 70 78 85 87 98 103 108 111 120Heavy rail 629 636 655 681 619 725 864 848 846 840 856 865 874 898 910 930 958 979 999 1014 1014 1040 1049Trolley bus 162 69 53 25 21 25 22 22 22 21 22 22 22 23 22 23 24 21 (R) 23 22 22 21 20Commuter rail N N N 278 288 295 342 346 352 360 371 383 389 403 418 428 436 446 457 460 474 488 507Demand responsivee N N N N N 398 492 539 585 653 746 815 882 942 1080 1156 1221 1270 1292 1390 1432 1574 1630Ferry boat N N N N i i 4 4 4 4 3 5 4 5 5 5 5 5 5 6 6 6 6Other N N N 24 25 24 26 31 39 48 47 55 69 80 101 111 114 121 (R) 135 136 149 (R) 165 192

RailClass I freight train-kilometers 650 678 687 649 689 558 612 604 628 653 710 737 754 764 764 789 811 804 804 830 861 881 905Class I freight car-kilometers 45335 47212 48103 44508 47117 40105 42099 41244 42049 43264 45842 48897 51040 50952 52556 54478 55667 55109 55812 57220 59660 60692 62692IntercityAmtrakf train-kilometers 336 277 150 48 48 48 53 55 55 56 55 51 48 51 53 55 56 58 61 60 60 58 58IntercityAmtrakf car-kilometers 3554 2857 1110 407 378 404 484 504 494 488 489 470 444 463 502 550 592 608 609 534 496 426 425

Total train-kilometersg 987 954 837 697 737 607 665 658 682 709 764 789 803 816 818 843 867 862 865 891 920 939 963

Table 1-32M US Vehicle-Kilometers (Millions)

KEY N = data do not exist R = revised U = data are not available

a All operations other than those operating under 14 CFR 121 and 14 CFR 135 Data for 1996 are estimated using new information on nonrespondents and are not comparable to earlier years Mileage in source is multiplied by 1151 to convert to nautical-miles for 1985-1997b In July 1997 the FHWA published revised vehicle-miles data for the highway modes for many years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category This category was calculated prior to roundingc US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary report provides updated data for passenger car and motorcycle combined Passenger car figures in this table were computed by US Department of Transportation Bureau of Transportation Statistics by subtracting the most current motorcycle figures from the aggregate passenger car and motorcycle figuresd Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-milese Motor bus and demand responsive figures are also included in the bus figure for highwayf Amtrak began operations in 1971g Although both train-miles and car-miles are shown for rail only train-miles are included in the total A train-mile is the movement of a train which can consist of multiple vehicles (cars) the distance of 1 mile This differs from a vehicle-mile which is the movement of 1 vehicle the distance of 1 mile A 10-vehicle train traveling 1 mile would be measured as 1 train-mile and 10 vehicle-miles Caution should be used when comparing train-miles with vehicle milesh 1960ndash65 motorcycle data are included in passenger car and other 2-axle 4-tire vehicle data included in single-unit 2-axle 6-tire or more trucki Ferry boat included with other

NOTENumbers may not add to totals due to rounding

SOURCESAirAir carrier

1 mile = 1609344 kilometers

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)

1985-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) p 3 line 25 plus line 46General aviation1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1972 (Washington DC 1973) table 9101970-75 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1976 (Washington DC 1976) table 8-51980 US National Transportation Safety Board estimate personal communication Dec 7 19981985-92 Ibid General Aviation Activity and Avionics Survey (Washington DC Annual issues) table 331993-97 Ibid General Aviation and Air Taxi Activity and Avionics Survey (Washington DC Annual issues) table 33 HighwayPassenger car and motorcycle1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmMotorcycle1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmTransit

1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtmOther 2-axle 4-tire vehicle1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpiindexhtm

2001-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77

IntercityAmtrak train-miles1960-70 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 391975-2001 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2002-06 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 77IntercityAmtrak car-miles1960-75 Association of American Railroads Yearbook of Railroad Facts (Washington DC 1975) p 401980-2000 Amtrak Amtrak Corporate Reporting Route Profitability System personal communication 2001

1960-2006 American Public Transit Association Public Transportation Fact Book (Washington DC Annual issues) table 10 54 and similar tables in earlier editionsRailClass I rail freight train- and car-miles1960-2006 Association of American Railroads Railroad Facts 2007 (Washington DC 2006) p 33 (train-miles) and p 34 (car-miles)

Single-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July 28 2000 table VM201A

TABLE 1-33M Roadway Vehicle-Kilometers Traveled (VKT) and VKT per Lane-Kilometers by Functional Class1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Urban VKT total (millions) 1376416 1680313 2052693 2073635 2193623 2268647 2332337 2397173 2452457 2499240 2567901 2619397 2677583 2697870 2780296 2905683 3045305 3141230 3181749Interstate 259494 347921 448848 459186 488058 510804 532012 549636 565812 581670 602896 616796 633221 643561 657607 696255 731262 754895 768113Other arterialsa 779227 930635 1125306 1138640 1199956 1245597 1284094 1311889 1343196 1362514 1388857 1413250 1449040 1470499 1508530 1567398 1641674 1686945 1706062Collector 133645 144162 171068 172652 186789 189721 193263 204272 208104 209450 212281 211794 217860 221964 228324 247438 260888 270431 278754Local 204050 257595 307470 303157 318821 322525 322968 331375 335345 345607 363868 377557 377462 361847 385835 394592 411482 428959 428819

Rural VKT total (millions) 1081527 1175993 1398324 1421941 1422816 1427015 1461833 1501983 1545282 1608180 1661693 1710126 1743164 1778459 1815598 1746758 1722397 1670398 1669001Interstate 217397 248414 322147 329933 330812 335239 346923 359498 374277 386653 404782 418697 431594 440999 450555 434434 429688 416482 415071Other arterialsa 422894 455127 532477 538736 553714 562574 575065 593196 609695 630955 649345 665174 676888 687101 698141 670446 659741 642019 634885Collectorb 304919 332602 386983 395303 378051 364188 371000 380043 387900 408934 414998 425596 430067 436071 442581 424323 419928 404890 404549Local 136318 139850 156716 157968 160239 165014 168844 169245 173410 181639 192568 200659 204615 214287 224320 217554 213040 207007 214497

Urban VKT per lane-kilometer total (thousands) 987 1089 1229 1233 1247 1259 1278 1304 1320 1327 1358 1382 1398 1372 1386 1378 1385 1388 1378

Interstate 5355 6072 7215 7310 7255 7384 7511 7699 7881 8050 8258 8415 8567 8643 8756 8748 8818 8779 8734Other arterialsa 2335 2504 2818 2829 2869 2861 2902 2943 2988 3004 3059 3138 3176 3214 3259 3237 3249 3220 3201Collector 921 888 1020 1044 1061 1056 1054 1104 1113 1109 1132 1137 1155 1171 1196 1193 1199 1199 1236Local 235 271 295 288 291 288 286 291 292 296 309 318 315 291 302 295 295 300 295

Rural VKT per lane-kilometer total (thousands) 166 182 219 222 224 225 232 238 244 253 265 272 276 283 289 281 281 273 273

Interstate 1660 1883 2371 2417 2478 2536 2643 2725 2815 2904 3038 3120 3207 3275 3348 3332 3360 3317 3337Other arterialsa 834 892 1029 1040 1051 1070 1085 1118 1144 1175 1207 1233 1252 1267 1283 1255 1240 1212 1198Collectorb 213 227 264 269 262 254 259 268 274 288 293 301 304 308 314 306 304 295 296Local 31 32 37 37 37 39 40 40 41 43 46 48 48 51 53 52 52 51 52

a For urban the sum of other freeways and expressways other principal arterials and minor arterials For rural the sum of other principal arterials and minor arterialsb Collector is the sum of major and minor collectors (rural only)

NOTESee table 1-6 for estimated highway lane-miles by functional class1 Mile=1609344 KilometersSOURCES1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-202 1995-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-2 Internet site wwwfhwadotgovpolicyohpi as of Jan 4 2008Lane-miles1980-95 US Department of Transportation Federal Highway Administration Office of Highway Information Management unpublished data 1997 table HM-2601996-2006 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table HM-60 Internet site wwwfhwadotgovpolicyohpi as of Jan 4 2008

Table 1-35M Average Length of Haul Domestic Freight and Passenger Modes (Kilometers)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

Freight

Air carrier 1534 1518 1632 1741 1693 1862 2235 2166 2239 2168 1965 1867 1901 1733 1735 1611 1580 1566 U U

Trucka

438 417 423 460 584 589 629 641 660 655 631 669 686 700 711 737 761 781 U U

Class I rail 742 810 829 870 991 1069 1168 1209 1227 1278 1315 1356 1355 1369 1344 1344 1357 1382 1373 1388

Coastwise (water) 2408 2416 2429 2192 3082 3174 2582 2744 2835 2656 2658 2658 2456 2140 2030 2059 2013 1976 1961 2009

Lakewise (water) 840 795 814 853 863 843 890 861 836 827 817 827 817 815 812 806 814 818 851 852

Internal (water) 454 478 531 576 652 700 753 777 771 752 775 795 768 750 759 785 775 766 777 735

Intraport (water) U U U 26 27 24 20 21 20 20 25 26 27 25 25 25 25 24 24 25

Crude (oil pipeline) 523 515 483 1019 1402 1250 1307 1323 1336 1271 1252 1283 1254 1257 1234 1233 U U U U

Petroleum products (oil pipeline) 433 539 575 830 666 629 623 610 610 653 666 647 665 665 676 673 U U U U

Passenger

Air carrier domestic scheduled 938 988 1091 1123 1184 1220 1292 1297 1297 1286 1267 1273 1291 1315 1307 1326 1340 1356 1368 1355

Bus intercity 127 151 171 182 201 195 227 230 219 222 222 225 230 232 232 230 230 U U U

Commuter rail 33 34 36 37 37 38 35 37 37 35 34 39 39 37 37 37 37 37 37 38

Amtrakb

N N N 380 348 372 439 459 460 451 449 431 412 412 404 399 393 381 376 372

KEY N = data do not exist U = data are not available

a Total Class I and Class II motor carriers of freight (less-than-truckload specialized carrier for truckload and others)b Amtrak began operations in 1971 Data are reported for fiscal years

NOTES

Average length of haul for freight is calculated by dividing ton-miles in table 1-46 by estimates of tonnage from the various data sources The calculation of average length of haul for passenger trips varies by mode for air carrier it is calculated by dividing revenue passenger-miles by revenue passenger enplanements for commuter rail intercity bus and Amtrak it is calculated by dividing passenger-miles by number of passengers These numbers were then converted to kilometers 1609344 kilometers = 1 mile

SOURCESFreightAir carrier truckEno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) p 65Class I railAssociation of American Railroads Railroad Facts (Washington DC 2004) p 36WaterUS Army Corps of Engineers Waterborne Commerce of the United States Part 5 (New Orleans LA Annual issues) section 1 table 1-4 Oil pipeline1960-70 Transportation Policy Associates Washington DC personal communication1975-99 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 65PassengerAir carrierUS Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DCIntercity busEno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 64Commuter Rail1960-2000 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) p 642001-03 US Department of Transportation Federal Transit Administration National Transit Database (Washington DC Annual issues) table 19Amtrak1970-85 Amtrak corporate communication Jan 26 19991990-2002 Amtrak Amtrak Annual Report (Washington DC 2003) Statistical Appendix2003 Association of American Railroads Railroad Facts (Washington DC 2004) p 77

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air total 53750 92740 189166 237217 352556 466929 577550 563568 588318 598885 640839 667376 718817 745307 766630 808626 855091 808544 776202 812974 897841 939357 950532

Air carrier certificated domestic all services 50049 85659 174520 218871 328898 447134 556629 544095 570937 582953 625068 649995 699505 725190 745548 785934 830629 782956 776202 812974 897841 939357 950532General aviationa 3701 7081 14645 18347 23657 19795 20921 19473 17381 15933 15772 17381 19312 20117 21082 22692 24462 25589 U U U U U

Highway totalb 2047212 2502912 3286284 3870399 4270411 4848878 5731210 5794157 5950903 6064114 6175877 6225055 6386498 6581197 6760267 6927051 7065142 7473462 7510870 7599112 7796390 (R) 7866385 7940003Passenger carbc 1842173 2244718 2817796 3144925 3237982 3370965 3671543 3540975 3553795 3561931 3620609 3680388 3761146 3844827 3965147 4015104 4094907 4114257 4217107 4251702 4322420 (R) 4344110 4278636Motorcyclebc g g 5274 9965 19725 19009 19995 18759 19226 19609 19940 17344 17561 17846 18203 18736 18533 18926 19523 19574 20688 (R) 21367 25347Other 2-axle 4-tire vehiclec h h 363090 584622 838104 1107376 1608947 1797569 1933896 2016283 2042728 2021571 2089410 2176919 2221791 2305586 2361976 2701852 2695316 2745707 2865873 (R) 2904621 3038437Truck single-unit 2-axle 6-tire or more 158602 207234 43583 55693 64073 73130 83527 85131 86702 91366 98627 100914 103114 107654 109469 113143 113459 137581 122094 125138 126239 (R) 126327 129280Truck combination 46436 50960 56543 75195 110527 125630 151827 155535 160146 165949 175309 185800 191349 200499 206574 213051 217294 259376 223276 225566 229122 (R) 231791 229663Busd N N N N N 152767 195371 196189 197138 208977 218663 219038 223918 233451 239081 261430 258974 241469 233554 231425 232048 (R) 238170 238642

Transit totale N N N N 64139 63699 66213 65505 64762 63382 63706 64065 66591 68138 71017 73800 76711 78971 77770 77092 78975 79952 (P) 83934Motor busd N N N N 35068 34055 33766 33941 32728 32584 30307 30285 30732 31550 32766 34126 34184 35441 35150 34218 34403 35124 (P) 36727Light rail N N N N 613 563 919 1065 1128 1135 1341 1384 1540 1666 1815 1941 2182 2313 2305 2375 2536 2736 (P) 3003Heavy rail N N N N 16991 16781 18467 16943 17280 16465 17168 16993 18556 19402 19769 20764 22280 22817 21988 21897 23101 23204 (P) 23691Trolley bus N N N N 352 492 311 314 320 303 301 301 296 304 293 299 309 301 303 283 278 278 (P) 264Commuter rail 6754 6643 7390 7263 10486 10515 11397 11819 11780 11169 12868 13267 13440 12936 14008 14108 15131 15366 15295 15384 15641 15245 (P) 16674Demand responsived N N N N N 586 694 731 797 904 929 977 1056 1213 1183 1308 1350 1376 1373 1497 1548 1703 (P) 1735Ferry boat N N N N i i 460 454 436 418 418 418 426 473 473 499 531 523 535 634 633 634 (P) 644Other N N N N 628 707 200 238 293 404 373 439 546 594 710 755 744 834 821 805 835 1028 (P) 1196

RailIntercity Amtrakf 27462 21340 9944 6326 7247 7765 9748 10095 9803 9976 9529 8924 8127 8314 8536 8578 8848 8946 8800 9141 8869 8660 8706

1 mile = 1609344 kilometers

1985 Amtrak Amtrak FY95 Annual Report Statistical Appendix (Washington DC 1996) p 4 1990-2002 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)2003-06 American Association of Railroads Railroad Facts 2006 (Washington DC 2007) p 77

Numbers may not add to totals due to rounding

All other data1960-2006 American Public Transportation Association Public Transportation Fact Book (Washington DC Annual issues) table 6 and similar tables in earlier editions

Rail Intercity Amtrak1960-80 Association of American Railroads Railroad Facts (Washington DC Annual issues)

Ferryboat1992 American Public Transit Association personal communication July 19 20001996-99 American Public Transit Association personal communication Aug 13 20012000-06 Ibid 2005 Public Transportation Fact Book (Washington DC Annual issues) table 54 and similar tables in earlier editions

Single-unit 2-axle 6-tires or more truck combination truck and bus1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July28 2000 table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmTransit

1985-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmOther 2-axle 4-tire vehicle1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtm

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 Internet site httpwwwfhwadotgovohimsummary95indexhtml as of July28 2000 table VM-201A 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 and Internet site httpwwwfhwadotgovpolicyohpihssindexhtmMotorcycle1970-80 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A

General aviation1960-2001 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 45-46HighwayPassenger car and motorcycle

1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III table 21965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III table 21975-80 Ibid Air Carrier Traffic Statistics (Washington DC 1976 1981) p 4 (December 1976) and p 2 (December 1981)1985-2005 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues) page 3 line1

Air carrier passenger-miles are computed by summing the products of the aircraft-miles flown on each interairport segment multiplied by the number of passengers carried on that segment Highway passenger-miles from 1960 to 1994 are calculated by multiplying vehicle-miles of travel as cited by FHWA by the average number of occupants for each vehicle type Average vehicle occupancy rates are based on various sources such as the National Household Travel Survey conducted by the Federal Highway Administration and the Vehicle Inventory and Use Survey conducted by the Bureau of the Census Transit passenger-miles are the cumulative sum of the distances ridden by each passenger Rail passenger-miles represent the movement of 1 passenger for 1 mile

SOURCESAirAir carrier domestic all services

g Included in passenger carh Included in other single-unit 2-axle 6-tire or more trucki Ferryboat included in other

NOTES

c US Department of Transportation Federal Highway Administration (FHWA) provides data separately for passenger car and motorcycle in its annual Highway Statistics series However the 1995 summary report provides updated data for passenger car and motorcycle combined Passenger car figures in this table were computed by US Department of Transportation Bureau of Transportation Statistics by subtracting the most current motorcycle figures from the aggregate passenger car and motorcycle figuresd Motor bus and demand responsive figures are also included in the bus figure for highwaye Prior to 1985 excludes demand responsive and most rural and smaller systems funded via Sections 18 and 16(b)2 Federal Transit Act The series is not continuous between 1980 and 1985 Transit rail modes are measured in car-miles Car-miles measure individual vehicle-miles in a train A 10-car train traveling 1 mile would equal 1 train-mile and 10 car-miles

f Amtrak began operations in 1971 Does not include contract commuter passengers

KEY N = data do not exist U = data are not available P = preliminary R = revised

a All operations other than those operating under 14 CFR 121 and 14 CFR 135b In July 1997 FHWA published revised passenger-miles data for the highway modes for a number of years The major change reflected the reassignment of some vehicles from the passenger car category to the other 2-axle 4-tire vehicle category Passenger-miles for passenger car motorcycle and other 2-axle 4-tire vehicles were derived by multiplying vehicle-miles for these vehicles by average vehicle occupancy rates provided by the Nationwide Personal Transportation Survey (1977 1983 and 1995) and the National Household Travel Survey (2001)

Table 1-37M US Passenger-Kilometers (Millions)

Table 1-46a M US Tonne-Kilometers of Freight (Millions)1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

TOTAL US tonne-kilometers of freight (millions) U 2706838 3221739 3335607 4363158 4306056 (R) 4839335 (R) 4888912 (R) 4990309 (R) 5020175 (R) 5277541 (R) 5502687 (R) 5582528 (R) 5555831 (R) 5594959 (R) 5704438 (R) 5704172 (R) 5738487 U U U U U UAir carrier domestic all servicesa 807 1975 3955 5066 6611 7528 13233 12935 14337 15585 17232 18279 18777 19857 20206 20735 21874 19400 20267 22236 24019 (R) 22982 22421 22043

Intercity truckb 416092 524130 601508 662827 810284 890583 (R) 1246816 (R) 1276016 (R) 1308135 (R) 1366534 (R) 1454132 (R) 1521291 (R) 1563630 (R) 1633709 (R) 1677508 (R) 1731527 (R) 1756346 (R) 1787006 1832265 1845405 U U U UClass I rail 835555 1018882 1116600 1101187 1341653 1280372 1509566 1516728 1557470 1619560 1752990 1906268 1979686 1969394 2010092 2092813 2140261 2183347 2200194 2265056 2427347 2476733 2586920 2584946Domestic water transportation cd U 715099 870428 826321 1345855 1303711 1216951 1238639 1250736 1152878 1189759 1179260 1116421 1032799 982262 957539 942849 907644 893620 884957 906891 863248 819962 U

Coastwise U 441708 525275 461126 921460 892009 699522 733100 733360 654658 668084 642892 595794 510761 459692 427378 414445 400848 384977 407213 408584 384650 331640 ULakewise U 110838 115946 100033 90149 70347 88956 80794 81444 82398 85063 87166 85168 90760 90014 83284 84502 74245 78332 69406 81369 75808 77532 UInternal U 160161 227487 263378 331914 339746 426886 423332 434544 414477 434725 447232 433306 429265 430540 444889 441727 430489 428371 406387 414772 400568 408468 UIntraport U 2392 1721 1785 2331 1609 1587 1413 1387 1346 1887 1970 2153 2012 2016 1989 2176 2063 1940 1950 2167 2221 2323 U

Oil pipelined 334334 446751 629248 740206 858756 823862 852770 844594 859632 865617 863427 877589 904015 900073 904891 901825 842842 841090 855836 861675 875399 U U UKEY R = revised U = data are not available

a Includes freight express and mail revenue ton-miles as reported on US DOT Form 41 b Methodology was changed in 1990 for intercity trucks Therefore figures prior to 1990 are not comparable to those after 1990c Excludes intraterritorial traffic for which ton-miles were not compiledd The large increase between1975 and 1980 was a result of a new Alaska pipeline and consequent water transportation of crude petroleum from

NOTESNumbers may not add to totals due to roundings1459972 tonne-kilometers = 1 ton-mile

SOURCESAir carrier domestic all services1960-65 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970)

p p p 1970-80 Ibid Air Carrier Traffic Statistics (Washington DC Annual issues) p 2 line 3(Washington DC Annual issues) p 3 line 3 Intercity truck Eno Transportation Foundation Inc Transportation in America 2007 (Washington DC 2007) p 40Class I railAssociation of American Railroads Railroad Facts (Washington DC Annual Issues) p 27Domestic water transportation

US Army Corps of Engineers Waterborne Commerce of the US (New Orleans LA Annual issues) part 5 section 1 table 1-4 and similar tables in earlier editions available at httpwwwiwrusacearmymilndcwcscwcschtm as of December 2008Oil pipeline1960-70 Eno Transportation Foundation Inc Transportation in America 1998 (Washington DC 1998) p 441975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC Annual issues) table 41980-2004 Ibid Shifts in Petroleum Transportation (Washington DC Annual issues) table 1

1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991TOTAL US tonne-kilometers of freight 4969767 4915691 4665465 4747804 4876660 4838300 4859347 5072849 5251728 5209065 5287935 5308610Air 7066 7431 7504 8570 9490 9796 10716 12658 13622 14906 15213 14541Truck 919308 921095 944153 984052 1032048 1046520 1073390 1131365 1169230 1209598 1239194 1267165Railroad 1360694 1349014 1182577 1227836 1314108 1279241 1301177 1389806 1497469 1526588 1554005 1521187Domestic water transportation 1345853 1356917 1294220 1342541 1296045 1303713 1275141 1307281 1299417 1190680 1216951 1238639

Coastwise 921460 926739 923735 948617 867111 892009 848082 856738 819913 706464 699522 733100Lakewise 90149 90734 52009 62907 72683 70347 63068 73111 84912 85128 88956 80793Internal 331914 337522 316853 329411 354562 339747 362244 375703 392785 397342 426886 423332Intraport 2330 1921 1623 1606 1689 1609 1748 1729 1807 1746 1587 1413

Pipeline 1336846 1281234 1237010 1184805 1224970 1199030 1198922 1231739 1271990 1267292 1262572 1267078Oil and oil products 858464 823424 826344 811744 829264 823424 843864 857004 877443 852624 852770 844594Natural Gas 478383 457809 410666 373060 395706 375606 355058 374736 394547 414669 409802 422484

KEY R = revisedNOTES

SOURCEUS Department of Transportation Bureau of Transportation Statistics special tabulation

Table 1-46bM US Tonne-Kilometers of Freight (BTS Special Tabulation) (Millions)

BTS is developing more comprehensive and reliable estimates of tonne-kilometers for the air truck rail water and pipeline modes than are presented in table 1-46a These improved estimates are not comparable to data in table 1-46a Improved estimates for 1960-1989 which will allow more comprehensive and reliable data for the entire period from 1960 to present are still under development and will be reported when they are completed Numbers may not add to totals due to rounding1459972 tonne-kilometers = 1 ton mile

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 20065469636 5500263 5759543 5992069 6094063 6101824 6173578 6278800 6319696 6361787 6437017 6445480 (R) 6629875 (R) 6678935 6770639

16045 16848 17563 18571 20089 20294 20644 21170 23082 19400 20202 22040 24018 (R) 22982 224211299712 1354824 1442339 1509671 1550420 1621378 1664042 1717494 1741491 1771250 1818456 1846534 1871060 (R) 1885576 18899231603603 1657092 1782732 1922797 2010520 2030951 2114554 2195309 2257582 2334980 2344032 2341159 2459266 2531266 27050841250733 1152877 1189756 1179260 1116422 1032799 982262 957539 942848 907646 893620 884956 906891 863246 819962

733360 654657 668083 642891 595794 510761 459693 427378 414445 400848 384977 407214 408583 384650 33164081443 82398 85062 87166 85167 90761 90013 83284 84502 74245 78332 69406 81369 75808 77532

434543 414477 434724 447232 433307 429265 430540 444889 441726 430489 428370 406386 414772 400568 4084681387 1345 1886 1971 2153 2012 2016 1988 2175 2063 1940 1951 2167 2221 2323

1299542 1318621 1327152 1361770 1396612 1396402 1392076 1387290 1354692 1328511 1360707 1350792 (R) 1368640 (R) 1375866 1333249859632 865617 863427 877589 904015 900073 904891 902263 842404 840944 855544 861383 875399 (R) 886933 853646439911 453004 463724 484181 492598 496330 487185 485027 512288 487568 505163 489409 (R) 493240 (R) 488933 479603

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL freight 9978 11548 13895 15377 18134 16224 19630 20921 19342 19307 20092 20325 20721 21166 21224 21070 21995 23933 21231 21720 23151 22930 23482Foreign 3078 4025 5270 6792 8359 7025 9449 9195 9412 9617 10122 10409 10736 11073 11298 11438 12290 12254 11968 12502 13652 13596 14197

Imports 1917 2448 3078 4323 4695 3744 5443 5039 5322 5886 6527 6102 6646 7151 7627 7809 8525 8635 8481 9115 9880 9951 10259Exports 1161 1578 2192 2469 3664 3281 4006 4157 4090 3731 3594 4306 4090 3922 3671 3629 3765 3620 3486 3387 3772 3645 3937

Domestic 6900 7522 8625 8585 9775 9200 10181 9784 9930 9690 9970 9916 9985 10093 9926 9632 9705 9457 9262 9218 9499 9334 9285Inland 2640 3353 4283 4572 4853 4850 5648 5447 5634 5509 5610 5627 5643 5720 5670 5666 5701 5623 5516 5530 5681 5661 5693Coastal 1898 1828 2163 2104 2990 2810 2709 2672 2587 2465 2513 2419 2426 2387 2265 2076 2059 2029 1963 2027 2001 1938 1831Great Lakes 1407 1394 1425 1173 1044 834 999 938 974 997 1041 1053 1042 1113 1108 1033 1037 907 920 814 939 873 879Intraport 945 933 739 710 854 674 784 686 697 675 752 754 807 815 817 804 858 846 817 788 828 818 829Intraterritory 09 13 15 26 33 31 41 41 39 45 54 62 66 57 65 53 50 53 46 58 50 44 53

Conversion 1 short ton=90718474 short tonnes

SOURCES

Table 1-50M US Waterborne Freight (Million short tonnes)

Numbers may not add to totals due to rounding

1960-2003 US Army Corps of Engineers Waterborne Commerce of the United States Calendar Year 2004 (New Orleans LA) part 5 tables 1-1 1-3 and 1-62004-2006 Ibid Preliminary Waterborne Commerce Statistics for Calendar Year 2006 (New Orleans LA) Internet site httpwwwiwrusacearmymilndc as of May 9 2008

KEY R = revised

NOTES Beginning in 1996 shipments of fish are excluded from domestic tonnage totals

Table 1-55M Crude Oil and Petroleum Products Transported in the United States by Mode (billions)1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilometers Percent

Tonne-kilmoeters Percent

Crude oil total 4840 1000 10994 1000 11478 1000 9172 1000 8555 1000 7931 1000 7109 1000 6630 1000 6176 1000 5489 1000 5498 1000 5606 1000 5554 1000 5462 1000Pipelinesa 4205 869 5294 482 4882 425 4888 533 4904 573 4939 623 4926 693 4878 736 4688 759 4138 754 4044 736 4184 746 4154 748 4142 758Water carriers 593 122 (c) 5656 514 6558 571 4251 464 3616 423 2955 373 2151 303 1721 260 1460 236 1329 242 1432 260 1397 249 1374 247 1295 237Motor carriersb 20 04 36 03 26 02 22 02 25 03 25 03 25 03 23 04 20 03 18 03 16 03 18 03 19 03 18 03Railroads 22 05 07 01 12 01 10 01 12 01 12 01 07 01 07 01 07 01 06 01 06 01 07 01 07 01 07 01

Refined petroleum products total 7522 1000 7187 1000 5976 1000 6549 1000 6700 1000 6993 1000 6856 1000 6945 1000 7152 1000 7260 1000 7201 1000 7017 1000 7342 1000 7714 1000Pipelinesa 3197 425 3294 458 3356 562 3640 556 3872 578 4101 586 4075 594 4171 601 4330 605 4291 591 4367 606 4374 623 4463 608 4612 598Water carriers 3758 500 3364 468 2061 345 2304 352 2237 334 2250 322 2165 316 2148 309 2153 301 2240 308 2130 296 1926 274 2132 290 2310 299Motor carriersb 383 51 355 50 393 66 412 63 359 54 409 58 380 55 390 56 403 56 439 61 434 60 429 61 466 63 485 63Railroads 184 24 175 24 165 27 194 29 232 35 234 33 237 34 237 34 266 37 291 40 270 38 288 41 282 38 308 40

Combined crude and petroleum products total 12362 1000 18181 1000 17454 1000 15721 1000 15255 1000 14924 1000 13965 1000 13575 1000 13328 1000 12750 1000 12699 1000 12623 1000 12896 1000 13176 1000Pipelinesa 7402 599 8588 472 8239 472 8528 542 8776 575 9040 606 9001 645 9049 667 9018 677 8428 661 8411 662 8558 678 8617 668 8754 664Water carriers 4351 352 (c) 9020 496 8620 494 6555 417 5853 384 5205 349 4316 309 3869 285 3613 271 3568 280 3562 281 3323 263 3505 272 3605 274Motor carriersb 403 33 391 22 419 24 434 28 384 25 434 29 404 29 413 30 423 32 457 36 450 35 447 35 485 38 502 38Railroads 206 17 182 10 177 10 204 13 242 16 245 16 244 17 244 18 273 20 296 23 276 22 295 23 289 22 315 24

a The amount carried by pipeline is based on ton-miles of crude and petroleum products transported through federally regulated pipelines (84) plus estimated ton-miles of crude and petroleum products transported through nonfederally regulated pipelines (16)b The amount carried by motor carriers is estimatedc Reflects the entrance between 1975 and 1980 of the Alaska pipeline moving crude petroleum for water transportation to US refinerie

NOTESNumbers may not add to totals due to rounding1459972 tonne-kilometers = 1 ton mile

SOURCES1975 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC) table 61980-2004 Ibid (Annual issues) tables 1 2 and 3

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Total petroleum demand 21016 24541 31156 34533 36086 32625 35400 34654 35373 35705 36579 36456 37726 38262 38967 40050 40518 40444 40516 41197 42829 (R) 42617 (R) 42158 42010

Transportation 10688 12524 16153 18584 20055 20543 22815 22550 22867 23287 23848 24339 24949 25234 25888 26607 27241 26963 27520 27744 28713 (R) 28813 (R) 29079 29094Industrial 6067 7164 8219 8595 10049 8164 8734 8426 9053 8882 9285 9089 9552 9802 9617 9913 9623 9728 9720 9745 10415 (R) 10206 (R) 10363 10199Residential and commercial 3682 4083 4547 4014 3203 2767 2490 2413 2407 2351 2329 2232 2363 2249 2083 2252 2447 2406 2262 2437 2422 (R) 2296 (R) 2033 2019Electric utilities 579 771 2237 3340 2779 1150 1360 1264 1045 1186 1117 796 862 978 1378 1278 1207 1347 1014 1271 1279 (R) 1303 (R) 684 696

Transportation as percent of total petroleum demand 509 510 518 538 556 630 645 651 646 652 652 668 661 659 664 664 672 667 679 673 670 (R) 676 (R) 690 693

NOTES

1975-2007 Ibid Monthly Energy Review DOEEIA-0035(200605) (Washington DC March 2008) tables 13 22 23 24 25 26 and similar tables in earlier editions Internet site httpwwweiadoegov as of Apr 16 2008

Table 4-3M Domestic Demand for Refined Petroleum Products by Sector (Petajoules)

1960-70 US Department of Energy Energy Information Administration Annual Energy Review 1997 DOEEIA-0384(97) (Washington DC July 1998) tables 21 512b and A3

105506 petajoules = 1 quadrillion British thermal unit (Btu)

KEY P = preliminary R = revised

SOURCES

Transportations share of US petroleum demand in this table differs slightly from table 4-1 because this table takes into account differences within sectors in the use of various grades of petroleum-based fuel that have different joule content per unit volume

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006AirCertificated carriersa

Jet fuel (million liters) 7397 14721 29742 28610 32249 38289 46648 43557 44527 45268 46880 47967 50033 51341 50479 54518 56193 53062 48636 49054 51567 52197 50944General aviationb

Aviation gasoline (million liters) 916 1105 2086 1560 1968 1594 1336 1340 1189 1014 1007 1086 1092 1106 1178 1307 1260 1057 1047 1031 1033 967 993Jet fuel (million liters) N 212 787 1715 2900 2616 2510 2184 1870 1719 1756 2120 2300 2430 3084 3662 3679 3476 3552 3529 4659 4752 4879

HighwayGasoline diesel and other fuels (million liters)

Passenger car and motorcycle 155849 188222 256950 281078 265683 271414 264067 244163 248425 254554 257707 258424 262781 265335 272175 278207 277375 279180 286413 286352 (R) 286192 280442 UOther 2-axle 4-tire vehicle N e 46610 72229 90078 103580 134802 144667 154933 162209 166982 172632 179255 186953 191019 200093 200395 202602 209031 229994 (R) 240059 247638 USingle-unit 2-axle 6-tire or more truck N 52420 15021 20517 26206 28008 31635 30934 31180 32131 34190 34887 35617 36249 25805 35477 36200 36595 39068 33616 (R) 33914 34228 UCombination truck N 25203 27815 34739 49350 53015 61070 63629 65170 67183 70609 74865 76437 76850 95233 92884 97155 96573 100236 90151 (R) 91573 92406 UBus 3131 3312 3104 3986 3854 3157 3388 3271 3324 3517 3649 3663 3747 3886 3937 4347 4210 3883 3784 3668 (R) 5148 5031 U

Transitc

Electricity (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 UMotor fuel (million liters)

Diesel 787 939 1026 1382 1632 2304 2464 2518 2593 2568 2567 2568 2622 2714 2800 2890 2975 2819 2743 2698 2766 2763 UGasoline and other nondiesel fuelsd 727 469 257 30 42 174 129 129 141 173 227 230 232 225 199 184 183 174 216 175 200 220 UCompressed natural gas N N N N N N N N 4 6 18 41 57 90 141 168 207 251 307 379 423 466 U

Rail Class I (in freight service)Distillate diesel fuel (million liters) 13109 13597 13419 13843 14778 11773 11792 11000 11375 11689 12621 13173 13548 13533 13563 14063 14006 14044 14120 14483 15365 15513 UAmtrakElectricity (million kWh) N N N 180 254 295 330 303 300 301 309 304 293 282 275 283 350 377 U U U U UDistillate diesel fuel (million liters) N N N 238 242 246 310 310 310 314 284 250 269 284 284 280 288 283 U U U U UWater Residual fuel oil (million liters) 14960 11708 14286 15369 33887 17375 23947 25639 24844 19994 20390 22282 21582 18965 21276 22100 24264 20477 18351 14664 17755 19603 UDistillate diesel fuel oil (million liters) 2979 2468 3100 4156 5595 6431 7817 7745 8398 8157 8288 8854 9429 9743 9823 9158 8560 7738 7870 8392 8099 7592 UGasoline (million liters) N N 2264 2763 3982 3986 4921 6473 4982 3307 3314 4014 3761 3737 3620 4157 4256 3762 4093 4192 3804 4773 UPipelineNatural gas (million cubic meters) 10412 15016 21665 17489 19039 15113 19794 18039 17631 18729 20561 21010 21343 22544 19064 19360 19266 18749 20008 17745 16986 17543 U

Table 4-5M Fuel Consumption by Mode of Transportation

c Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and small systemsd Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except compressed natural gase Included in single-unit 2-axle 6-tire or more truck category

KEY kWh = kilowatt-hour N = data do not exist R = revised U = data are not available 1gallon = 37854 litres 1 Cubic Foot= 028316 Cubic Metres

a Domestic operations onlyb Includes fuel used in air taxi operations but not commuter operations Data for 1996 are estimated using new information on nonrespondents and are therefore not comparable to earlier years See the accuracy statement in the appendix for more detailed information

1970-2005 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editions

Highway1960-94 US Department of Transportation Federal Highway AdministrationHighway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of August 2001)1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

TransitElectricity motor fuel compressed natural gas

1960-2005 American Public Transportation Association 2007 Public Transportation Fact Book (Washington DC April 2007) tables 26 27 28 and similatables in earlier editions Rail

SOURCESAirCertificated air carriers

1960-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Fuel Cost and Consumption Internet site httpwwwbtsgovprogramsairline_information as of Sept 4 2007General aviation1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 9121975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions

1994-2006 Ibid FAA Aerospace Forecasts Fiscal Years 2007-2020 (Washington DC Dec 2007) table 34 and similar tables in earlier editions

Pipeline1960-2005 US Department of Energy Natural Gas Annual 2005 DOEEIA-0131(04) (Washington DC Nov 2006) table 15 and similar tables in earlier editions

1960-2005 Association of American Railroads Railroad Facts (Washington DC 2005) p 40Amtrak

1975-2001 Amtrak Energy Management Department personal communicationWaterResidual and distillate diesel fuel oil1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 12agy gy ( g )and similar tables in earlier editionsGasoline

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005AirCertificated carriersa

Jet fuel 278 554 1119 1077 1213 1441 1755 1639 1675 1703 1764 1805 1883 1932 1899 2051 2114 1997 1830 1846 1940 1964General aviationb

Aviation gasoline 31 37 70 52 66 53 45 45 40 34 34 36 37 37 39 44 42 35 35 (R) 35 (R) 36 37Jet fuel N 8 30 65 109 98 94 82 70 65 66 80 87 91 116 138 138 136 140 (R) 134 (R) 138 144

HighwayGasoline diesel and other fuels

Passenger car and motorcycle 5430 6558 8952 9793 9256 9456 9200 8507 8655 8869 8978 9003 9155 9244 9482 9693 9664 9727 9978 9976 (R) 9971 9771Other 2-axle 4-tire vehicle N e 1624 2516 3138 3609 4696 5040 5398 5651 5818 6014 6245 6513 6655 6971 6982 7059 7283 8013 (R) 8364 8628Single-unit 2-axle 6-tire or more truck N 2026 581 793 1013 1083 1223 1196 1205 1242 1322 1349 1377 1401 998 1371 1399 1415 1361 1171 (R) 1181 1193Combination truck N 974 1075 1343 1908 2049 2361 2460 2519 2597 2730 2894 2955 2971 3682 3591 3756 3733 3875 3485 (R) 3540 3572Bus 121 128 120 154 149 122 131 126 128 136 141 142 145 150 152 168 163 150 146 142 (R) 199 195

Transitc

Electricity 10 9 9 10 9 15 17 17 17 18 18 18 18 18 18 19 20 20 20 20 21 21Motor fuel

Diesel 30 36 40 53 63 89 95 97 100 99 99 99 101 105 108 112 115 109 106 104 107 107Gasoline and other nondiesel fuelsd 25 16 9 1 1 6 4 4 5 6 8 8 8 8 7 6 6 6 8 6 7 8Compressed natural gas N N N N N N N N lt1 lt1 1 2 2 3 5 6 8 10 12 15 16 18

Rail Class I (in freight service)Distillate diesel fuel 507 526 519 535 571 455 456 425 440 452 488 509 524 523 524 544 541 543 546 560 594 600AmtrakElectricity N N N 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 U U U UDistillate diesel fuel N N N 9 9 10 12 12 12 12 11 10 10 11 11 11 11 11 U U U UWater Residual fuel oil 624 489 596 641 1414 725 999 1070 1037 834 851 930 900 791 888 922 1012 854 766 612 741 818Distillate diesel fuel oil 115 95 120 161 216 249 302 299 325 315 320 342 364 377 380 354 331 299 304 324 313 293Gasoline N N 79 96 139 139 171 226 174 115 115 140 131 130 126 145 148 131 143 146 133 166PipelineNatural gas 378 544 786 634 690 548 718 654 639 679 746 762 774 817 691 702 699 680 725 643 622 636KEY N = data do not exist R = revised U = data are unavailable

a Domestic operations onlyb Includes fuel used in air taxi operations but not commuter operations

d Gasoline and all other nondiesel fuels such as liquefied natural gas methanol and propane except

Table 4-6M Energy Consumption by Mode of Transportation (Petajoules)

e Included in other single-unit 2-axle 6-tire or more truck category

c Prior to 1984 excludes commuter rail automated guideway ferryboat demand responsive vehicles and most rural and smaller systems

Jet fuel = 37626700 joulesliterAviation gasoline = 33501698 joulesliterAutomotive gasoline = 34839537 Diesel motor fuel = 38657950 joulesliter

1970-2005 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MF-24 and similar tables in earlier editionsPipeline

Residual and distillate diesel fuel oil1960-80 American Petroleum Institute Basic Petroleum Data Book (Washington DC Annual issues) tables 10 10a 12 and 1985-2005 US Department of Energy Energy Information Administration Fuel Oil and Kerosene Sales (Washington DC Annual issues) tables 2 4 and similar tables in earlier editionsGasoline

1960-2005 Association of American Railroads Railroad Facts (Washington DC 2005) p 40Amtrak1975-2001 Amtrak Energy Management Department personal communicationWater

Electricity 1kWh = 3600000 jouleskWh negating electrical system losses To include approximate electrical system losses multiply this conversion factor by 3

Distillate fuel = 38655829 joulesliterResidual fuel = 41723829 joulesliterNatural gas = 38413974 joulesm3

The following conversion rates were used

General aviation

1960-70 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation - 1972 edition (Washington DC 1973) table 912

1975-93 Ibid General Aviation and Air Taxi Activity Survey (Washington DC Annual issues) table 51 and similar tables in earlier editions

1960-2005 American Public Transportation Association 2006 Public Transportation Fact Book (Washington DC April 2006) tables 26 27 28 and similar tables in earlier editions

1960-2005 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovprogramsairline_information as of June 1 2006

SOURCESAirCertificated air carriers

NOTES

Compressed natural gas = 38657950 joulesliter

Rail

1055056 petajoules = 1 trillion British thermal unit (Btu)

1960-2005 US Department of Energy Natural Gas Annual 2005 DOEEIA-0131(04) (Washington DC Dec 2006) table 15 and similar tables in earlier editions

1994-2004 Ibid FAA Aerospace Forecasts Fiscal Years 2005-2016 (Washington DC Dec 2005) table 34 and similar tables in earlier editions2005 Ibid FAA Aerospace Forecasts Fiscal Years 2006-2017 (Washington DC Dec 2006) table 30Highway

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of August 2001)1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Transit

Electricity motor fuel compressed natural gas

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006TOTAL demand 230005 269471 339178 389882 396854 407121 430044 424806 434878 441300 449392 455209 464074 470279 484449 498845 499261 506261 519585 524688 534432 529914 529135Highway 209820 253541 324025 376094 383019 391960 414614 408496 420084 430282 437904 443125 452412 457800 472018 487345 487879 490900 503288 507591 516540 511697 510410Nonhighway total 20185 15930 15152 13788 13834 15160 15430 16310 14795 11018 11488 12083 11662 12479 12431 11500 11382 15361 16297 17098 17892 18217 18725

Agriculture 8675 7432 7313 5924 4009 4091 2579 2949 3049 3204 3452 3508 3475 3727 3433 2661 2469 3034 3149 3229 4141 4080 4651Aviationa 5011 1898 1488 1551 1563 1444 1366 1282 1303 1289 1379 1389 1301 1267 1329 1219 1120 1347 1293 1153 1175 1264 1309Marine 230 365 2264 2762 3983 3986 4923 6472 4994 3307 3394 4014 3761 3737 3619 4156 4256 3762 4093 4192 3804 4773 4684Otherb 6270 6235 4087 3551 4280 5639 6562 5608 5448 3218 3263 3172 3124 3749 4050 3464 3537 7218 7762 8523 8772 8100 7696

NOTES

SOURCESHighway

Table 4-7M Domestic Demand for Gasoline (Million liters) by Mode

a Does not include aviation jet fuelb Includes state county and municipal use industrial and commercial use construction use and miscellaneous

All nonhighway uses of gasoline were estimated by the US Department of Transportation Federal Highway Administration

Nonhighway

1960-2006 Ibid Highway Statistics (Washington DC Annual issues) table MF-24 Internet site wwwfhwadotgovpolicyohpi as of Jan 30 2008 and unpublished revisions

These estimates may not be comparable to data for prior years due to revised estimation proceduresNumbers may not add to totals due to rounding

1960-95 US Department of Transportation Federal Highway Administration Highway Statististics Summary to 1995 (Washington DC 1996) table MF-2211996-2006 Ibid Highway Statistics (Washington DC Annual issues) table MF-21 Internet site wwwfhwadotgovpolicyohpi as of Jan 30 2008

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007Number of aircraft 2135 2125 2679 2495 3808 4678 6083 6054 7320 7297 7370 7411 7478 7616 8111 8228 8055 8497 8194 8176 8186 8225 U UAverage kilometers flown per aircraft (thousands) 784 1074 1528 1500 1236 1191 1250 1239 1077 1129 1170 1222 1260 1273 1236 1283 1388 1291 1344 1446 1560 1614 U UAircraft-Kilometers (millions)Domestic operations 1381 1825 3328 3135 4060 4902 6378 6202 6429 6690 7049 7450 7743 7903 8103 8581 9115 8929 9039 9793 10544 10806 (R) 10661 10825International operations 293 457 764 607 645 668 1223 1299 1455 1547 1577 1606 1679 1793 1918 1971 2063 2037 1971 2031 2228 2472 (R) 2557 2705Fuel consumption (million liters)Domestic operations 7397 14721 29742 28610 32249 38289 46648 43557 44527 45268 46880 47967 50033 51341 50479 54518 (R) 56272 (R) 52496 (R) 48930 (R) 49520 (R) 53339 (R) 52852 (R) 51415 51314International operations 2143 4845 8491 7378 6614 9418 14797 14913 15596 15571 16196 16817 17483 18605 18636 19875 (R) 20850 (R) 20198 (R) 19211 (R) 19755 (R) 21169 (R) 22616 (R) 22781 23485Aircraft-Kilometers flown per litersDomestic operations 019 012 011 011 013 013 014 014 014 015 015 016 015 015 016 016 (R) 016 (R) 017 (R) 018 (R) 020 (R) 020 (R) 020 (R) 021 021International operations 014 009 009 008 010 007 008 009 009 010 010 010 010 010 010 010 (R) 010 (R) 010 (R) 010 (R) 010 (R) 011 (R) 011 (R) 011 012

3785412 liters = 1 gallon

1960-70 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovprogramsoaifuelfuelyearlyhtml as of June 25 20041980-2007 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Jun 26 2008

1975-80 Ibid Air Carrier Traffic Statistics (Washington DC December 1976) pp 4 and 14 and (December 1981) pp 2 and 31985-2001 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues December) pp 2 and 3 line 27 plus line 502002-07 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual issues January) pp 3 and 4 line 25 plus line 46Fuel consumption

1965-70 Ibid Handbook of Airline Statistics 1973 (Washington DC 1974) part III tables 2 and 13

1960-65 US Department of Transportation Federal Aviation Administration FAA Statistical Handbook of Aviation 1970 edition (Washington DC 1970) table 531970-75 Ibid FAA Statistical Handbook of Aviation Calendar Year 1979 (Washington DC 1979) table 511980-85 Ibid FAA Statistical Handbook of Aviation Calendar Year 1986 (Washington DC 1986) table 511990-97 Ibid FAA Statistical Handbook of Aviation Calendar Year 1997 (Washington DC unpublished) personal communication Mar 19 19991998-2005 Aerospace Industries Association Aerospace Facts and Figures (Washington DC Annual Issues) Active US Air Carrier Fleet p 90 and similarpages in earlier editionsAircraft-miles flown1960 Civil Aeronautics Board Handbook of Airline Statistics 1969 (Washington DC 1970) part III tables 2 and 13

SOURCESNumber of aircraft

1609344 kilometers = 1 mileNOTES

Table 4-8M Certificated Air Carrier Fuel Consumption and Travela

KEY R = revised U = data are unavailable

a Aircraft operating under 14 CFR 121 and 14 CFR 135

Table 4-9M Motor Vehicle Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Vehicles registered (thousands)a 73858 90358 111242 137913 161490 177133 193057 192314 194427 198041 201802 205427 210441 211580 215496 220461 225821 235331 234624 236760 237243 (R) 247421 241194Vehicle-kilometers traveled (millions) 1156735 1428795 1785928 2136668 2457943 2856306 3451016 3495576 3616439 3695662 3794170 3898951 4000585 4122648 4235024 4330835 4420747 4501797 4595495 4651728 4771364 (R) 4811021 4850749Fuel consumed (million liters) 219100 269158 349503 412549 435171 459174 494962 486664 503036 519593 533134 544471 557837 569273 588174 611007 615334 618833 638532 643781 675834 (R) 661640 662182Average kilometers traveled per vehicle (thousands) 157 158 161 155 152 161 179 182 186 187 188 190 190 195 197 196 196 191 196 196 201 (R) 19 20Average kilometers traveled per gallon 53 53 51 52 56 62 70 72 72 71 71 72 72 72 72 71 72 73 72 72 71 (R) 73 73Average fuel consumed per vehicle (liters) 2966 2979 3142 2991 2695 2592 2564 2531 2587 2624 2642 2650 2651 2691 2729 2771 2725 2630 2722 2719 2849 (R) 2674 2745KEY R = revised

a Includes personal passenger vehicles buses and trucks

NOTESee tables 4-11 4-12 4-13 4-14 and 4-15 for individual highway vehicles

SOURCES 1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) tables MF-21 MV-1 and VM-1

Table 4-11M Passenger Car and Motorcycle Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Vehicles registered (thousands)Passenger cars 61671 75258 89244 106706 121601 127885 133700 128300 126581 127327 127883 128387 129728 129749 131839 132432 133621 137633 135921 135670 136431 136568 135400Motorcycles 574 1382 2824 4964 5694 5444 4259 4177 4065 3978 3757 3897 3872 3826 3879 4152 4346 4903 5004 5370 5370 6227 6686Vehicle-kilometers traveled (millions)Passenger cars 944685 1163556 1475768 1664062 1789591 2006852 2265956 2185489 2208020 2212848 2262738 2314237 2365501 2418129 2493802 2525222 2575412 2620546 2669055 2690950 2735708 (R) 2749437 2707996Motorcycles a a 4828 9012 16415 14645 15450 14806 15450 15933 16415 15772 15965 16224 16549 17033 16848 15512 15372 15413 16290 (R) 16824 19957Fuel consumed (million liters)Passenger cars 155849 188222 256723 280650 264911 270725 263344 243466 247702 253804 256931 257681 262030 264571 271396 277406 276582 278450 285690 285627 285427 (R) 293059 283841Motorcycles a a 227 428 772 689 723 697 723 750 776 742 751 763 779 801 793 731 723 725 766 (R) 715 837Average kilometers traveled per vehicle (thousands)Passenger cars 153 155 165 156 147 157 169 170 174 174 177 180 182 186 189 191 193 190 196 198 201 (R) 201 200Motorcycles a a 17 18 29 27 36 35 38 40 44 40 41 42 43 41 39 32 31 29 30 (R) 27 30Average kiloemeters traveled per literPassenger cars 61 62 57 59 68 74 86 90 89 87 88 90 90 91 92 91 93 94 93 94 96 (R) 94 97Motorcycles a a 213 211 213 213 214 213 214 213 212 213 213 213 213 213 213 212 213 213 213 (R) 213 213Average fuel consumed per vehicle (liters)Passenger cars 2527 2501 2877 2630 2179 2117 1970 1898 1957 1993 2009 2007 2020 2039 2059 2095 2070 2023 2102 2105 2092 (R) 2146 2096Motorcycles a a 80 86 136 127 170 167 178 188 207 190 194 199 201 193 182 149 145 135 143 (R) 115 125KEY R = revised

a Included in passenger car

NOTESSee table 4-12 for other 2-axle 4-tire vehiclesAverage miles traveled per vehicle average miles traveled per gallon average fuel consumed per vehicle are derived by

SOURCESPassenger carNumber registered1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1All other categories1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A For 1970-94 the unrevised motorcycle vehicle-miles and fuel consumed are subtracted from the combined passenger car and motorcycle vehicle-miles and fuel consumed from VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1MotorcycleNumber registered1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-201 1995-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 All other categories1970-85 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 table VM-1990-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-12M Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Number registered (thousands) 14211 20418 27876 37214 48275 53033 57091 59994 62904 65738 69134 70224 71330 75356 79085 84188 85011 87187 87187 95337 99125Vehicle-kilometers traveled (millions) 197949 323478 468319 629254 925373 1044464 1137806 1200571 1231148 1271382 1314094 1369132 1397353 1450054 1485519 1517945 1554681 1583746 1583746 (R) 1675409 1752597Fuel consumed (million liters) 46610 72229 90078 103580 134802 144667 154933 162209 166982 172634 179255 186953 191020 200093 200395 202602 209031 229994 229994 (R) 222843 229631Average kilometers traveled per vehicle (thousands) 139 158 168 169 192 197 199 200 196 193 190 195 196 192 188 112 183 182 182 (R) 176 177Average kilometers traveled per liter 42 45 52 61 69 72 73 74 74 74 73 73 73 72 74 75 74 69 69 (R) 75 76Average fuel consumed per vehicle (liters) 3280 3537 3231 2783 2792 2728 2714 2704 2655 2626 2593 2662 2678 2655 2534 636 2459 2638 2638 (R) 2337 2317KEY R = revised

NOTENearly all vehicles in this category are light trucks which include vans pickup trucks and sport utility vehicles In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data They are passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Prior to 1993 some minivans and sport utility vehicles were included under the passenger car category

SOURCES

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-13M Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel a

1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 3681 4232 4374 4593 4487 4481 4370 4408 4906 5024 5266 5293 5735 5763 5926 5704 5651 5849 6161 6395 6649Vehicle-kilometers (millions) 43613 55683 64052 73064 83525 85134 86744 91411 98653 100914 103114 107654 109469 113143 113459 116594 122094 125138 126239 (R) 126327 129280Fuel consumed (million liters) 15021 20517 26206 28008 31635 30934 31180 32131 34190 34886 35617 36249 25807 35477 36200 36595 39068 33616 33912 (R) 35965 37260Average kilometers traveled per vehicle (thousands) 118 132 146 159 186 190 199 207 201 201 196 203 191 196 191 204 216 214 205 (R) 198 194Average kilometers traveled per liter 29 27 24 26 26 28 28 28 29 29 29 30 42 32 31 32 31 37 37 (R) 35 35Average fuel consumed per vehicle (liters) 4080 4848 5992 6098 7050 6904 7135 7289 6968 6944 6763 6848 4500 6156 6109 6416 6914 5748 5504 (R) 5624 5604KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of single-unit 2-axle 6-tire or more trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

NOTES In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle categories beginning with 1993 data to include passenger cars other 2-axle 4-tire vehicles single-unit 2-axle 6-tire or more trucks and combination trucks Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the most appropriate category

SOURCES 1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-14M Combination Truck Fuel Consumption and Travel a

1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number registered (thousands) 787 905 1131 1417 1403 1709 1691 1675 1680 1682 1696 1747 1790 1997 2029 2097 2154 2277 1908 2010 2087 2170Vehicle-kilometers traveled (millions) 51016 56488 75156 110562 125690 151761 155463 160130 165923 175258 185879 191349 200499 206574 213051 217294 219811 223276 225566 229122 (R) 231791 229663Fuel consumed (million liters) 25203 27815 34739 49350 53015 61070 63629 65170 67183 70609 74864 76437 76850 95233 92884 97155 96573 100236 90151 91573 (R) 104814 106275Average kilometers traveled per vehicle (thousands) 649 624 665 780 896 888 919 956 987 1042 1096 1096 1120 1034 1050 1036 1020 981 1182 1140 (R) 1111 1058Average kilometers traveled per liter 20 20 22 22 24 25 24 25 25 25 25 25 26 22 23 22 23 22 25 25 (R) 22 22Average fuel consumed per vehicle (liters) 32044 30732 30722 34831 37780 35737 37621 38899 39983 41992 44148 43764 42934 47680 45788 46339 11843 44028 47240 45551 (R) 50228 48975KEY R = revised

a Beginning in 1998 the Federal Highway Administration (FHWA) used the Census Bureaus 1997 Vehicle Inventory and Use Survey (VIUS) for its baseline estimate of combination trucks Prior to 1998 the FHWA used the Census Bureaus 1992 Transportation Inventory and Use Survey (TIUS) for its baseline estimates Therefore post-1997 data may not be comparable to 1997 and earlier years

SOURCES 1965-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Table 4-15M Bus Fuel Consumption and Travel1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Number registered (thousands) 272 314 378 462 529 593 627 631 645 654 670 686 695 698 716 729 746 750 761 777 795 807 822Vehicle-kilometers traveled (millions) 6920 7564 7242 9817 9817 7242 9173 9334 9334 9817 10300 10300 10562 11011 11277 12331 12215 11389 11016 10916 10945 (R) 11233 11256Fuel consumed (million liters) 3131 3312 3104 3986 3854 3157 3388 3271 3324 3517 3649 3664 3747 3886 3938 4347 4210 3883 3784 3668 5149 (R) 4240 4342Average kilometers traveled per vehicle (thousands) 254 241 192 212 186 122 146 148 145 150 154 150 152 158 158 169 164 94 145 141 138 (R) 139 137Average kilometers traveled per liter 22 23 23 25 25 23 27 29 28 28 28 28 28 28 29 28 29 69 29 30 21 (R) 26 26Average fuel consumed per vehicle (liters) 11504 10539 8221 8625 7287 5319 5404 5181 5155 5374 5443 5345 5394 5571 5504 5965 5642 1369 4974 4723 6474 (R) 5253 5282KEY R = revised

NOTEIncludes both publicly and privately owned school transit and other commercial buses

SOURCES1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Number of vehicles (thousands) 65 62 61 62 75 94 93 97 103 108 116 116 123 126 124 129 131 135 135 138 144 121Vehicle-kilometers traveled (millions) 3449 3232 3030 3502 3681 4492 5217 5321 5399 5528 5580 5713 5875 6028 6105 6393 6567 6753 6883 7022 7195 7405Electric power consumed (million kWh) 2908 2584 2561 2646 2446 4216 4837 4853 4716 4865 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954Primary energy consumed (thousand liters)Diesel 787744 940296 1024332 1381903 1633027 2304324 2464417 2517897 2592795 2568444 2567365 2567592 2622208 2713959 2799770 2889666 2975428 2818856 2742663 2698041 2766023 2763040Gasoline and other nondiesel fuelsb 726421 470148 258165 28678 43154 173008 128348 130472 140738 172887 227136 229888 231716 225092 199169 184327 182775 173648 193624 175242 200275 220008Compressed natural gas N N N N N N N N 3819 5977 18302 40655 57129 90494 141075 168065 207418 250651 306811 378810 423247 465806KEY kWh = kilowatt hour N = data do not exist

Table 4-16M Transit Industry Electric Power and Primary Energy Consumptiona and Travel

American Public Transportation Association 2006 Public Transportation Fact Book (Washington DC Annual issues) tables 12 18 26 27 28 and similar tables in earlier editions Internet site httpwwwaptacom as of Dec 5 2007

a Prior to 1984 excludes commuter rail automated guideway urban ferryboat demand responsive vehicles and most rural and smaller systemsb 1992 to 2003 data include propane liquid petroleum gas liquefied natural gas kerosene and all other nondiesel fuels except compressed natural gas 1960 to 1991 data include propane Series not continuous between 1991 and 199

The heat equivalent factors used in joule conversions are diesel = 38657950 joulesliter electric = 3600000 jouleskWh negating electrical system loses (to include electrical system loses multiply this conversion factor by approximately three) gasoline = 34839537 joulesliter

NOTES

1609344 kilometers = 1 mile3785412 liters = 1 gallon

SOURCE

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Number in useLocomotivesa 29031 27780 27077 27846 28094 22548 18835 18344 18004 18161 18505 18812 19269 19684 20261 20256 20028 19745 20506 20774 22015 22779 23732Carsb 1965486 1800662 1784181 1723605 1710827 1421686 1212261 1189660 1173136 1173132 1192412 1218927 1240573 1270419 1315667 1368836 1380796 1314136 1299670 1278980 1287920 1312245 1346507Kilometers traveled (millions)Freight train-kilometersc 651 677 687 648 690 559 611 603 628 653 710 738 754 764 764 789 811 804 804 830 861 (R) 881 906Locomotive unit-kilometers N N N 2380 2464 1976 2060 1992 2057 2124 2261 2326 2358 2290 2317 2420 2419 2378 2323 (R) 2388 2476 (R) 2555 2671Car-kilometers 45335 47212 48103 44508 47117 40105 42099 41244 42049 43264 45842 48897 51040 50952 52556 54478 55667 55109 55812 57220 59660 60692 62692Average kilometers traveled per vehicle (thousands)Locomotives N N N 855 877 876 1094 1086 1142 1170 1222 1236 1224 1163 1144 1195 1208 1204 1133 1150 1125 1122 1126Cars 23 262 270 258 275 282 347 347 358 369 384 401 411 401 399 398 403 419 429 447 463 (R) 463 466Average kilometers traveled per literTrains 005 005 005 005 005 005 005 005 006 006 006 006 006 006 006 006 006 006 006 006 006 006 006Cars 346 347 358 322 319 341 357 375 370 370 363 371 377 377 387 387 397 392 395 395 388 391 395Fuel consumed (million liters) 13109 13597 13419 13843 14778 11773 11792 11000 11375 11689 12621 13173 13548 13533 13563 14063 14006 14044 14120 14483 15365 15513 15868Average fuel consumed per locomotivea (thousand liters) 4515 4895 4956 4971 5260 5221 6260 5997 6318 6437 6820 7003 7031 6875 6694 6943 6993 7113 6886 6972 (R) 6979 6810 6687

2005 Association of American Railroads personal communication June 13 2007

All data except for locomotive unit-kilometersAssociation of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 33 34 40 49 and 51 and similar tables in earlier editionsLocomotive unit-kilometers1975-92 2002 Ibid Railroad Ten-Year Trends (Washington DC Annual issues)

3785412 liters = 1 gallon

SOURCES

1993-2001 2003-04 Ibid Analysis of Class I Railroads (Washington DC Annual issues)

Table 4-17M Class I Rail Freight Fuel Consumption and Travel

2006 Association of American Railroads personal communication Apr 24 2008

KEY N = data do not exist

a For 1960-80 the total includes a small number of steam and electric units which are not included in the per locomotive fuel consumption figureb Includes cars owned by Class I railroads other railroads car companies and shippersc Based on the distance run between terminals and or stations does not include yard or passenger train-kilometers

NOTES1609344 kilometers = 1 mile

Table 4-18M Amtrak Fuel Consumption and Travel 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Number in useLocomotives 355 419 291 318 316 336 360 338 313 299 332 345 329 378 401 372 442 276 258Cars 1913 2128 1854 1863 1786 1796 1853 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186

Kilometers traveled (millions)Train-kilometers 48 48 48 53 55 55 56 55 51 48 51 53 55 56 58 61 60 60 58Car-kilometers 407 378 404 484 504 494 488 489 470 444 463 502 550 592 608 609 534 496 426

Locomotive fuel consumedElectric (million of kWh hours) 180 254 295 330 303 300 301 309 304 293 282 275 283 350 U U U U UDiesel (million litres) 238 242 246 310 310 310 314 284 250 269 284 284 280 288 U U U U U

Average kilometers traveled per car 213000 178000 218000 260000 282000 275000 263000 264000 273000 257000 268000 256000 276000 313000 292000 210000 329000 306000 352000KEY kWh = kilowatt hour U = data are not available

SOURCESNumber of locomotives and cars1975ndash80 Amtrak State and Local Affairs Department personal communication1985ndash2000 Ibid Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

2001ndash05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsMiles traveledTrain-miles 1975ndash2002 Amtrak Amtrak Annual Report Statistical Appendix (Washington DC Annual issues)

2003ndash05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsCar-miles1975 Association of American Railroads Yearbook of Railroad Facts 1975 (Washington DC 1976) p 401980ndash85 Amtrak State and Local Affairs Department and Public Affairs Department personal communication

1990ndash2000 Ibid Amtrak Corporate Reporting Route Profitability System personal communication Aug 22 2001

2001ndash05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier editionsLocomotive fuel consumed1975ndash2000 Amtrak State and Local Affairs Department personal communication

Petroleum

Motor gasoline

Distillate and residual fuel

oilJet fuel and aviation gas Otherd Total Electricity Natural gas

Coal and othere Total

FY 1996 total 291 1800 5412 229 7736 1947 1555 458 11695Agriculture 45 05 00 02 53 21 17 04 96Defense 35 1645 5326 143 7150 1097 967 328 9543Energy 11 18 03 03 36 187 176 73 471GSA 01 03 00 00 04 95 36 17 153Health and Human Services 00 17 00 01 18 26 25 00 70Interior 09 11 01 04 26 14 04 01 45Justice 28 05 09 00 42 37 45 04 128NASA 02 07 13 00 23 66 28 02 121Postal Service 130 26 00 00 156 159 62 06 384Transportation 05 08 51 73 138 56 13 01 207Veterans Affairs 06 23 00 00 30 94 146 14 283Othera 17 31 09 01 59 93 37 06 195

FY 2005P total 487 2527 5197 94 8304 1982 1383 430 12100Agriculture 04 06 00 01 12 37 38 15 101Defense 175 2335 5114 42 7666 1066 794 308 9834Energy 128 44 00 02 175 192 59 04 429GSA 00 01 00 00 01 104 71 19 194Health and Human Services 05 02 06 00 15 31 07 00 53Interior 23 07 01 07 40 22 16 03 81Justice 24 12 01 12 50 23 12 06 91NASA 02 04 08 00 15 59 33 03 109Postal Service 20 21 02 01 44 176 65 35 321Transportation 30 04 16 00 51 53 83 09 195Veterans Affairs 08 13 00 00 21 112 165 17 314Otherc 66 76 46 26 216 108 41 12 377

FY 2006P total 504 2193 4671 50 7426 2017 1369 439 11252Agriculture 23 04 00 02 31 21 18 00 72Defense 183 2018 4603 23 6828 1073 724 03 8902Energy 08 20 01 02 33 222 78 276 419GSA 00 01 00 00 02 104 68 88 191Health and Human Services 03 04 00 01 08 31 54 18 98Interior 22 13 01 11 46 24 14 04 85Justice 50 11 01 01 62 64 113 01 248NASA 02 04 08 01 15 58 32 08 109Postal Service 141 26 00 02 170 177 65 03 419Transportation 04 02 05 00 13 28 07 06 49Veterans Affairs 08 13 00 00 21 110 159 01 309Otherc 59 76 51 05 195 106 40 19 351

c Includes National Archives and Records Administration US Department of Commerce US Department of Labor US Department of State Environmental Protection Agency Federal Communications Commission Federal Trade Commission Social Security Administration International Broadcasting Bureau Nuclear Regulatory Commission US Department of Homeland Security US Department of Housing and Urban Development US Department of the Treasury Railroad Retirement Board and Tennessee Valley Authority

1996 2004-06 US Department of Energy Energy Information Administration Annual Energy Review 2005 table 113 Internet site httpwwweiadoegovemeuaer as of Nov 6 2006

These data include energy consumed at foreign installations and in foreign operations including aviation and ocean bunkering primarily by the US Department of Defense US government energy use for electricity generation and uranium enrichment is excluded Other energy used by US agencies that produce electricity or enriched uranium is included The US governments fiscal year runs from October 1 through September 30 This table uses a conversion factor for electricity of 3600000 joules per kilowatt-hour and a conversion factor for purchased steam of 2326 kilojoules per kilogram

SOURCE

Numbers may not add to totals due to rounding

Table 4-19M US Government Energy Consumption by Agency and Source (Petajoules)

KEY Btu = British thermal unit FY = fiscal year GSA = General Services Administration NASA = National Aeronautics and Space Administration P = preliminary

d Includes liquefied petroleum gasese Includes purchased steam chilled water from district heating and cooling systems and any other energy type such as renewable energy

NOTES

1 Trillion BTU=105506 Petajouls

a Includes US Department of Commerce Panama Canal Commission Tennessee Valley Authority US Department of Labor US Information Agency US Department of Housing and Urban Development Federal Communications Commission Office of Personnel Management US Department of State Federal Emergency Management Agency US Department of the Treasury National Archives and Records Administration Nuclear Regulatory Commission Railroad Retirement Board Federal Trade Commission Equal Employment Opportunity Commission and Environmental Protection Agencyb Includes National Archives and Records Administration US Department of Commerce US Department of Labor US Department of State Environmental Protection Agency Federal Communications Commission Federal Trade Commission Social Security Administration International Broadcasting Bureau Equal Employment Opportunity Commission Nuclear Regulatory Commission Office of Personnel Management US Department of Housing and Urban Development US Department of the Treasury Railroad Retirement Board Tennessee Valley Authority Federal Emergency Management Agency Central Intelligence Agency and National Science Foundation

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air certificated carrierDomestic operations 5659 6633 6677 5078 3764 3308 3233 3062 2992 2988 2913 2873 2742 2731 2703 2655 2546 2550 2358 (R) 2292 (R) 2235 (R) 2112 2031International operations 6031 6748 7202 5550 2845 3345 2980 3022 2792 2687 2718 2736 2693 2733 2804 2703 2513 2599 2570 (R) 2739 (R) 2549 (R) 2500 2419Highwaya

Passenger car 2947 2921 3174 3109 2850 2799 2498 2395 2428 2481 2472 2439 2418 2397 2384 2407 2353 2358 2360 (R) 2341 2301 (R) 2350 2311Other 2-axle 4-tire vehicle N N 4465 4308 3743 3259 2976 2804 2790 2803 2849 2975 2977 2992 2995 3024 2956 2612 2702 (R) 2918 2918 (R) 2673 2633Motorcycle b b 1639 1543 1393 1243 1460 1257 1305 1352 1400 1491 1489 1490 1490 1490 1490 1343 1291 1291 1291 (R) 1170 1150Transit motor bus N N N N 1798 2222 2441 2470 2647 2586 2728 2724 2751 2772 2709 2651 2719 2424 2327 2304 (R) 2341 (R) 2224 2138Amtrak N N N 1562 1408 1370 1354 1297 1334 1326 1269 1205 1411 1442 1402 1381 1399 U U U U U UKEY N = data do not exist R = revised U = data are not availablea For 1995 and subsequent years highway passenger-miles were taken directly fromHighway Statistics rather than derived from vehicle-miles and averageb Included in passenger car

Table 4-20M Energy Intensity of Passenger Modes (Kilojoule per passenger-kilometer)

NOTES

To calculate total joules multiply fuel consumed (see tables 4-21 4-22 4-24 4-25) by 37626700 joulesliter for air carrier 34839537 joulesliter for passenger car other 2-axle 4-tire vehicle and motorcycle and 38657950 joulesliter for transit motor bus and Amtrak diesel consumption and 3599851 joulesKwH for Amtrak electric consumption1609344 kilometers = 1 mileSOURCESAirCertificated air carriersPassenger-kilometers1960-80 Air Transport Association Internet site httpwwwairlinesorg as of Aug 30 2004

Fuel consumedUS Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovoaifuelfuelyearlyhtml as of Mar 27 2008

1985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)

HighwayPassenger car

1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-11960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Motorcycle

AmtrakAmtrak State and Local Affairs Department personal communication April 22 2008

1970-85 Ibid Highway Statistics Summary to 1985 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1990-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Transit motor busAmerican Public Transportation Association 2008 Public Transportation Fact Book (Washington DC Annual issues) tables 2 and 28 and similar tables in earlier editions

Table 4-21M Energy Intensity of Certificated Air Carriers All Servicesa

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Aircraft-kilometers (millions)Domestic operations 1381 1825 3328 3135 4060 4902 6378 6202 6429 6690 7049 7450 7743 7903 8103 8581 9116 8929 9039 9792 10608 (R) 10550 10478International operations 293 457 764 607 645 668 1223 1299 1455 1547 1577 1606 1679 1793 1918 1971 2063 2037 1971 2031 2258 (R) 2134 2298Available seat-kilometers (millions)Domestic operations 84040 152545 343048 388306 556878 717487 906165 874901 897996 919722 942171 971910 1008075 1049160 1065889 1125463 1170046 1118816 1089443 1108943 1193608 (R) 1210429 1194875International operations 21480 47529 83622 99335 139220 164094 274087 276101 313474 322112 320087 326954 335841 368039 382280 391040 408850 378696 346984 329521 369808 (R) 404879 429252Passenger-kilometers (millions)Domestic operations 49177 83504 167608 211996 322334 435463 547549 535213 559941 569993 609925 635221 684930 725190 745548 785934 830629 782956 776202 812974 897841 (R) 941460 952465International operations 13367 27019 44358 50022 87489 105925 189412 185701 210216 218079 225937 234881 246337 272552 277218 290115 310278 287015 276582 271344 312491 (R) 340422 354277Fuel consumed (million liters)Domestic operations 7397 14721 29742 28610 32249 38289 46648 43557 44527 45268 46880 47967 50033 51341 50479 54518 56193 53062 48636 49054 (R) 51567 52197 50944International operations 2143 4845 8491 7378 6614 9418 14797 14913 15596 15571 16196 16817 17483 18605 18636 19875 20724 19826 18892 18308 (R) 18668 (R) 20899 22059Seats per aircraftDomestic operations 609 836 1031 1239 1371 1464 1421 1411 1397 1375 1337 1305 1302 1327 1315 1312 1284 1253 1205 1132 1125 (R) 1147 1140International operations 733 1040 1094 1637 2157 2457 2241 2126 2155 2083 2030 2036 2001 2053 1993 1984 1982 1859 1761 1623 1637 (R) 1897 1868Seat-kilometers per literDomestic operations 11 10 12 14 17 19 19 20 20 20 20 20 20 20 21 21 21 21 22 23 (R) 23 (R) 23 23International operations 10 10 10 13 21 17 19 19 20 21 20 19 19 20 21 20 20 19 18 18 (R) 20 (R) 19 19Energy intensity (Kilojoulepassenger-kilometer)Domestic operations 20305 23800 23956 18219 13506 11870 11501 10987 10735 10722 10376 10194 9861 9558 9141 9365 9133 9149 8459 8146 (R) 7754 (R) 7485 7221International operations 21638 24209 25840 19911 10206 12003 10546 10842 10016 9639 9677 9666 9581 9215 9075 9249 9017 9325 9221 9108 (R) 8065 (R) 8288 8406Load factor (percent)Domestic operations 585 547 489 546 580 607 604 612 624 620 647 654 679 691 699 698 710 691 703 726 744 (R) 773 790International operations 622 568 530 504 628 646 691 673 671 676 706 718 733 741 725 742 759 728 766 765 791 (R) 794 799KEY Btu = British thermal unit R = revised

a US owned carriers only Operation of foreign-owned carriers in or out of the United States not included

NOTESAircraft-kilometers includes all four air-carrier groups (majors nationals large regionals and medium regionals) scheduled and charter passenger and all-cargo Fuel consumed includes majors nationals and large regionals scheduled and charter passenger Passenger-kilometers includes all four air-carrier groups scheduled and charter passenger service onlyInternational operations include operations outside the United States including those between the United States and foreign countries and the United States and its territories or possessions Heat equivalent factor used for Btu conversion is 135000 Btugallon

SOURCESAircraft-miles available seat-miles passenger-miles and load factor1960-80 Air Transport Association Internet site httpwwwair-transportorgpublicindustry as of July 31 20021985-2006 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Air Carrier Traffic Statistics (Washington DC Annual December issues)Fuel consumed1960-75 US Department of Transportation Research and Innovative Technology Administration Bureau of Transportation Statistics Office of Airline Information Internet site httpwwwbtsgovoaifuelfuelyearlyhtml as of July 21 20041980-2006 Ibid Internet site httpwwwbtsgovxmlfuelreportsrcindexxml as of Apr 25 2007Seats per aircraft seat-miles per gallon and energy intensivenessDerived by calculation

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Vehicle-kilometers (millions) Passenger car 944685 1163556 1475768 1664062 1789591 2006852 2265956 2185489 2208020 2212848 2262738 2314237 2365736 2418844 2494483 2525061 2575412 2620546 2669055 2690950 2735708 2749437 2707996Other 2-axle 4-tire vehicle N N 197949 323478 468319 629254 925373 1044464 1137806 1200571 1231148 1271382 1314834 1369552 1396911 1450019 1485519 1517945 1554681 1583746 1653060 1675409 1752597Motorcycle b b 4828 9012 16415 14645 15450 14806 15450 15933 16415 15772 15933 16254 16576 17059 16848 15512 15372 15413 16290 16824 19957Passenger-kilometers (millions)a

Passenger car 1842699 2245035 2817961 3144658 3238000 3369966 3672523 3540557 3553432 3561478 3621024 3680570 3761037 3844723 3965424 4015313 4094907 4114257 4217107 4251702 4322420 4344110 4278636Other 2-axle 4-tire vehicle N N 363712 584192 838468 1107229 1609344 1797637 1934431 2016508 2042258 2021336 2088929 2177442 2222504 2306190 2361976 2701852 2695316 2745707 2865873 2904621 3038437Motorcycle b b 4828 9656 19312 19312 19312 19312 19312 19312 19312 17703 17703 17703 17703 19312 18533 18926 19523 19574 20688 21367 25347Average occupancy ratePassenger car 195 193 191 189 181 168 162 162 161 161 160 159 159 159 159 159 159 157 158 158 158 158 158Other 2-axle 4-tire vehicle N N 184 181 179 176 174 172 170 168 166 159 159 159 159 159 159 178 173 173 173 173 173Motorcycle b b 100 107 118 132 125 130 125 121 118 112 111 109 107 113 110 122 127 127 127 127 127Fuel consumed (million liters)Passenger car 155849 188222 256723 280650 264911 270725 263344 243466 247702 253804 256931 257681 262030 264570 271395 277406 276582 278450 285690 285627 285427 293063 283841Other 2-axle 4-tire vehicle N N 46610 72229 90078 103580 134802 144667 154933 162209 166982 172634 179254 186954 191019 200093 200395 202602 209031 229994 240060 222843 229631Motorcycle b b 227 428 772 689 723 697 723 750 776 742 750 765 780 801 793 730 723 725 766 715 833Energy intensity (Btupassenger-kilometer)c

Passenger car 2793 2768 3008 2947 2702 2653 2368 2271 2302 2353 2343 2312 2301 2272 2260 2281 2230 2235 2237 2218 2181 2228 2191Other 2-axle 4-tire vehicle N N 4232 4083 3548 3089 2766 2657 2645 2656 2700 2820 2834 2835 2838 2865 2802 2476 2561 2766 2766 2533 2496Motorcycle a a 1553 1463 1320 1178 1236 1191 1236 1282 1327 1384 1398 1426 1455 1370 1412 1273 1223 1223 1223 1106 1085

For 1970-94 the unrevised motorcycle fuel consumed is subtracted from the combined passenger car and motorcycle fuel consumed from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Passenger-miles 1960-97 Vehicle-miles multiplied by vehicle occupancy rates1998-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1Fuel consumed

1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201AFor 1970-94 the unrevised motorcycle vehicle-miles are subtracted from the combined passenger car and motorcycle vehicle-miles from VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

Other 2-axle 4-tire vehicle1970-94 Ibid Highway Statistics Summary to 1985 (Washington DC 1986) table VM-201A

Motorcycle1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

Vehicle-milesPassenger car1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

p p p y p y p y p gcar category Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Pre-1993 data have been reassigned to the closest available categoryVehicle-miles and passenger-miles data for 1960 through 1999 have been rounded to the nearest billion miles

SOURCES

These new categories include passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck

KEY Btu = British thermal unit N = data do not exist R = revised

Table 4-22M Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles

In 1995 the US Department of Transportation Federal Highway Administration revised its vehicle type categories for 1993 and later data

b Included in passenger carc Energy Intensity (Btupassenger-kilometer) is calculated by converting the fuel consumption in liters to the energy equivalent Btu units and dividing by the passenger-miles The heat equivalent factor used for Btu conversion is 330215046605 Btusliter

NOTES

Table 4-23M Average Fuel Efficiency of US Passenger Cars and Light Trucks1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008

Average US passenger car fuel efficiency (kmpl) (calendar year)Passenger cara 68 74 86 90 89 88 88 90 90 91 92 91 93 94 94 95 96 94 95 U UOther 2-axle 4-tire vehicle 52 61 68 72 74 74 74 74 73 73 73 72 74 75 74 75 69 75 77 U UNew vehicle fuel efficiency (kmpl)b (model year)Light-duty vehicle

Passenger car 103 117 119 121 119 121 120 122 121 122 122 120 121 122 123 125 125 129 (R) 128 133 133Domestic 96 112 114 116 115 118 117 118 119 118 122 119 122 122 124 123 127 130 (R) 129 (R) 130 132Imported 126 134 127 128 124 126 126 129 126 128 124 123 120 123 122 127 122 127 126 136 133

Light truck (lt8500 lbs GVWR)c 79 88 88 91 88 89 88 87 88 88 90 89 91 89 91 92 91 94 96 98 99CAFE standards (kmpl)b (model year)Passenger car 85 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117 117Light truck d68 60 83 85 86 86 87 87 88 88 88 88 88 88 88 88 88 88 89 92 94 96

KEY CAFE = Corporate Average Fuel Economy GVWR = gross vehicle weight rating kmpl = kilometers per liter R = revised U = data are not available

a From 1980 to 1994 passenger car fuel efficiency includes motorcyclesb Assumes 55 city and 45 highway-miles The source calculated average miles per gallon for light-duty vehicles by taking the reciprocal of the sales-weighted average of gallons per mile This is called the harmonic average These data were then converted to metric units c Beginning with FY 1999 the total light truck fleet ceased to be categorized by either domestic or import fleetsd 2 Wheel Drive4 Wheel Drive No combined figure available for this year

NOTES

The fuel efficiency figures for light duty vehicles represent the sales-weighted harmonic average of the combined passenger car and light truck fuel economies1609344 kilometers = 1 mile3785412 liters = 1 gallon

SOURCESAverage US passenger car fuel efficiency1980-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (Revised data obtained from Internet site httpwwwfhwadotgovohimohimstathtm as of Aug 2 2001)1995-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1New vehicle fuel efficiency (based on model year production) and CAFE standardsUS Department of Transportation National Highway Traffic Safety Administration Summary of Fuel Economy Performance (Washington DC Annual Issues) available at httpwwwnhtsadotgovportalsitenhtsamenuitem43ac99aefa80569eea57529cdba046a0 as of Sep 17 2008

Table 4-24M Energy Intensity of Transit Motor Buses1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

Vehicle-kilometers (millions) 2536 2459 2268 2456 2699 2998 3428 3487 3505 3556 3479 3514 3574 3612 3500 3663 3725 3825 3880 3896 3977 4015Passenger-kilometers (millions) N N N N 35084 34118 33766 33941 32728 32584 30307 30285 30732 31550 32766 34126 34184 35441 35150 34218 34403 35124Fuel consumed (million liters diesel) 787 939 1026 1382 1632 1961 2132 2169 2241 2179 2139 2134 2187 2262 2296 2340 2404 2223 2116 2039 2084 2021Energy intensity (kilojoules passenger-kilometers) N N N N 1798 2222 2441 2470 2647 2586 2728 2724 2751 2772 2709 2651 2719 2424 2327 2304 2341 2225KEY N = data do not exist

NOTESHeat equivalent factor used for joule conversion is 38657950 joulesliter1609344 kilometers = 1 mile3785412 liters = 1 gallon 06555814 kilojoule per passenger-kilometer = 1 British thermal unit (Btu) per passenger-mile

SOURCEAmerican Public Transportation Association 2007 Public Transportation Fact Book (Washington DC 2007) tables 55 10 12 27 and similar tables in earlier editions Internet site httpwwwaptacom as of Nov 27 2007

1960 1965 1970 1975 1980 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Revenue freight tonne-kilometers (millions) 835555 1018882 1116600 1101187 1341653 1280372 1509566 1516728 1557470 1619560 1752990 1906268 1979686 1969394 2010092 2092813 2140261 2183347 2200194 2265056 2427347 2730131 2586920Car-kilometers (millions) 45335 47212 48103 44508 47117 40105 42099 41244 42049 43264 45842 48897 51040 50952 52556 54478 55667 55109 55812 57220 59660 60692 62692Tonnes per car load 444 489 549 608 671 677 666 662 660 644 634 653 666 634 641 634 626 640 633 623 613 610 609Fuel consumed (million liters) 13109 13597 13419 13843 14778 11773 11792 11000 11375 11689 12621 13173 13548 13533 13563 14063 14006 14044 14120 14483 15365 15513 15868Energy intensity (kilojoule revenue freight tonne-kilometer) 606 516 465 486 426 355 302 280 282 279 278 267 265 266 261 260 253 249 248 247 245 242 237Energy intensity (kilojoule car-kilometer) 11178 11134 10784 12024 12125 11348 10828 10311 10458 10445 10643 10415 10261 10268 9976 9979 9726 9852 9780 9785 9956 9881 9784

a Class I railroads are those that have operating revenues of $2894 million or more in 2004

Table 4-25M Energy Intensity of Class I Railroada Freight Service

NOTESThe heat equivalent factor used for joule conversion is 38655900 joulesliter1459972 tonne-kilometer = 1 ton-mile1609344 kilometers = 1 mile

Association of American Railroads Railroad Facts 2007 (Washington DC 2007) pp 34 37 and 40 and similar tables in earlier editions

09071847 tonnes = 1 ton3785412 liters = 1 gallon

SOURCE

appendix b

Glossary

14 CFR 121 (Air) Code of Federal RegulationsTitle 14 part 121 Prescribes rules governing theoperation of domestic flag and supplemental aircarriers and commercial operators of largeaircraft

14 CFR 135 (Air) Code of Federal RegulationsTitle 14 part 135 Prescribes rules governing theoperations of commuter air carriers (scheduled)and on-demand air taxi (unscheduled)

ACCIDENT (Aircraft) As defined by theNational Transportation Safety Board an occur-rence incidental to flight in which as a result ofthe operation of an aircraft any person (occupantor nonoccupant) receives fatal or serious injury orany aircraft receives substantial damage

ACCIDENT (Automobile) See Crash (Highway)

ACCIDENT (Gas) 1) An event that involves therelease of gas from a pipeline or of liquefied natu-ral gas (LNG) or other gas from an LNG facilityresulting in personal injury necessitating in-patient hospitalization or a death or estimatedproperty damage of $50000 or more to the oper-ator or others or both including the value of thegas that escaped during the accident 2) An eventthat results in an emergency shutdown of an LNGfacility or 3) An event that is significant in thejudgment of the operator even though it did notmeet the criteria of 1) or 2)

ACCIDENT (Hazardous liquid or gas) Release ofhazardous liquid or carbon dioxide while beingtransported resulting in any of the following 1)An explosion or fire not intentionally set by theoperator 2) Loss of 50 or more barrels of hazard-ous liquid or carbon dioxide 3) Release to theatmosphere of more than 5 barrels a day of highlyvolatile liquids 4) Death of any person 5) Bodilyharm resulting in one or more of the following a)The loss of consciousness b) The necessity of car-rying person from the scene c) The necessity formedical treatment d) Disability that prevents thedischarge of normal duties and 6) Estimateddamage to the property of the operators andorothers exceeding $50000

ACCIDENT (Highway-Rail Grade-Crossing) Animpact between on-track railroad equipment andan automobile bus truck motorcycle bicyclefarm vehicle or pedestrian or other highway userat a designated crossing site Sidewalks pathwaysshoulders and ditches associated with the cross-ing are considered to be part of the crossing site

ACCIDENT (Rail) A collision derailment fireexplosion act of God or other event involvingoperation of railroad on-track equipment (stand-ing or moving) that results in railroad damageexceeding an established dollar threshold

ACCIDENT (Recreational Boating) An occur-rence involving a vessel or its equipment thatresults in 1) A death 2) An injury that requiresmedical treatment beyond first aid 3) Damage toa vessel and other property totaling to more than$500 or complete loss of a vessel or 4) The disap-pearance of the vessel under circumstances thatindicate death or injury Federal regulations (33CFR 173-4) require the operator of any vesselthat is numbered or used for recreational pur-poses to submit an accident report

ACCIDENT (Transit) An incident involving amoving vehicle Includes a vehicle object or per-son (except suicides) or a derailmentleft roadway

ACTIVE AIRCRAFT (General Aviation) Alllegally registered civil aircraft that flew one ormore hours

AERIAL APPLICATION FLYING (General Avia-tion) The operation of aircraft for the purposes ofdispensing any substances required for agricul-ture health forestry seeding firefighting andinsect control purposes

AERIAL OBSERVATION FLYING (General Avi-ation) Any use of an aircraft for aerial mappingand photography surveying patrolling fish spot-ting search and rescue hunting sightseeing orhighway traffic advisory not included under Fed-eral Aviation Regulations (FAR) Part 135

Appendix B Glossary

AIR CARRIER A person who undertakesdirectly by lease or other arrangement to engagein air transportation More specifically the com-mercial system of air transportation comprisinglarge certificated air carriers small certificated aircarriers commuter air carriers on-demand airtaxis supplemental air carriers and air travelclubs

AIR ROUTE TRAFFIC CONTROL CENTER Afacility established to provide air traffic controlservice to aircraft operating on an IFR (instru-ment flight rule) flight plan within controlled air-space and principally during the en route phase offlight

AIR TAXI An aircraft operator who conductsoperations for hire or compensation in accor-dance with 14 CFR 135 (for safety purposes) orFAR Part 135 (for economic regulationsreportingpurposes) in an aircraft with 30 or fewer passen-ger seats and a payload capacity of 7500 poundsor less An air taxi operates on an on-demandbasis and does not meet the flight scheduled qual-ifications of a commuter air carrier (see below)

AIRCRAFT REVENUE HOURS The airbornehours in revenue service computed from themoment an aircraft leaves the ground until itlands

AIRCRAFT REVENUE MILES The miles (com-puted in airport-to-airport distances) for eachinterairport hop actually completed in revenueservice whether or not performed in accordancewith the scheduled pattern For this purposeoperation to a flag stop is a hop completed even ifa landing is not actually made In cases where theinterairport distances are inapplicable aircraft-miles flown are determined by multiplying thenormal cruising speed for the aircraft type by theairborne hours

AIRPORT A landing area regularly used by air-craft for receiving or discharging passengers orcargo

AIRPORTAIRWAY TRUST FUND See TrustFunds

ALTERNATIVE FUELS The Energy Policy Actof 1992 defines alternative fuels as methanoldenatured ethanol and other alcohol mixturescontaining 85 percent or more (but not less than70 percent as determined by the Secretary ofEnergy by rule to provide for requirements relat-ing to cold start safety or vehicle functions) by

volume of methanol denatured ethanol andother alcohols with gasoline or other fuelsIncludes compressed natural gas liquid petroleumgas hydrogen coal-derived liquid fuels fuelsother than alcohols derived from biological mate-rials electricity or any other fuel the Secretary ofEnergy determines by rule is substantially notpetroleum and would yield substantial energysecurity and environmental benefits

AMTRAK Operated by the National RailroadPassenger Corporation of Washington DC thisrail system was created by the Rail Passenger Ser-vice Act of 1970 (PL 91-518 84 Stat 1327) andgiven the responsibility for the operation of inter-city as distinct from suburban passenger trainsbetween points designated by the Secretary ofTransportation

ARTERIAL HIGHWAY A major highway usedprimarily for through traffic

ASPHALT A dark brown to black cement-likematerial containing bitumens as the predominantconstituent The definition includes crude asphaltand finished products such as cements fluxes theasphalt content of emulsions and petroleum dis-tillates blended with asphalt to make cutbackasphalt Asphalt is obtained by petroleumprocessing

AVAILABLE SEAT-MILES (Air Carrier) The air-craft miles flown in each interairport hop multi-plied by the number of seats available on that hopfor revenue passenger service

AVERAGE HAUL The average distance in milesone ton is carried It is computed by dividing ton-miles by tons of freight originated

AVERAGE PASSENGER TRIP LENGTH (BusRail) Calculated by dividing revenue passenger-miles by the number of revenue passengers

AVIATION GASOLINE (General Aviation) Allspecial grades of gasoline used in aviation recipro-cating engines as specified by American Societyof Testing Materials (ASTM) Specification D910and Military Specification MIL-G5572

Includes refinery products within the gasolinerange marketed as or blended to constitute avia-tion gasoline

BARREL (oil) A unit of volume equal to 42 USgallons

Appendix B Glossary

BLOOD ALCOHOL CONCENTRATION(Highway) A measurement of the percentage ofalcohol in the blood by grams per deciliter

BRITISH THERMAL UNIT The quantity ofheat needed to raise the temperature of 1 poundof water by 1 degF at or near 392 degF

BULK CARRIER (Water) A ship with specializedholds for carrying dry or liquid commodities suchas oil grain ore and coal in unpackaged bulkform Bulk carriers may be designed to carry asingle bulk product (crude oil tanker) or accom-modate several bulk product types (orebulkoilcarrier) on the same voyage or on a subsequentvoyage after holds are cleaned

BUS Large motor vehicle used to carry more than10 passengers includes school buses intercitybuses and transit buses

BUSINESS TRIP (American Travel Survey) Atrip taken for business or business combined withpleasure or for attending a convention confer-ence or seminar

CAFE STANDARDS See Corporate Average FuelEconomy Standards

CAR-MILE (Rail) The movement of a railroadcar a distance of 1 mile An empty or loaded car-mile refers to a mile run by a freight car with orwithout a load In the case of intermodal move-ments the designation of empty or loaded refersto whether the trailerscontainers are moved withor without a waybill

CERTIFICATE OF PUBLIC CONVENIENCEAND NECESSITY (Air Carrier) A certificateissued by the Department of Transportation to anair carrier under Section 401 of the Federal Avia-tion Act authorizing the carrier to engage in airtransportation

CERTIFICATED AIR CARRIER An air carrierholding a Certificate of Public Convenience andNecessity issued by the US Department of Trans-portation (DOT) to conduct scheduled servicesinterstate These carriers may also conduct non-scheduled or charter operations Certificated aircarriers operate large aircraft (30 seats or more ora maximum load of 7500 pounds or more) inaccordance with FAR Part 121 See also LargeCertificated Air Carrier

CERTIFICATED AIRPORTS Airports that ser-vice air carrier operations with aircraft seatingmore than 30 passengers

CHAINED DOLLARS A measure used toexpress real prices defined as prices that areadjusted to remove the effect of changes in thepurchasing power of the dollar Real prices usu-ally reflect buying power relative to a referenceyear The ldquochained-dollarrdquo measure is based onthe average weights of goods and services in suc-cessive pairs of years It is ldquochainedrdquo because thesecond year in each pair with its weightsbecomes the first year of the next pair Prior to1996 real prices were expressed in constant dol-lars a weighted measure of goods and services ina single year See also Constant Dollars and Cur-rent Dollars

CLASS I RAILROAD A carrier that has anannual operating revenue of $250 million or moreafter applying the railroad revenue deflator for-mula which is based on the Railroad Freight PriceIndex developed by the US Department of LaborBureau of Labor Statistics The formula is the cur-rent years revenues x 1991 average indexcurrentyears average index

COASTWISE TRAFFIC (Water) Domestic trafficreceiving a carriage over the ocean or the Gulf ofMexico (eg between New Orleans and Balti-more New York and Puerto Rico San Franciscoand Hawaii Alaska and Hawaii) Traffic betweenGreat Lakes ports and seacoast ports when hav-ing a carriage over the ocean is also consideredcoastwise

COEFFICIENT OF VARIATION Ratio of thesampling error (or standard error) of a statistic tothe value of that statistic Also referred to as rela-tive standard error

COLLECTOR (Highway) In rural areas routesthat serve intracounty rather than statewidetravel In urban areas streets that provide directaccess to neighborhoods and arterials

COLLISION WITH OBJECT (Transit) An inci-dent in which a transit vehicle strikes an obstacleother than a vehicle or person (eg building util-ity pole) Reports are made if the accident resultsin a death injury or property damage over$1000

COLLISION WITH PEOPLE (Transit) An inci-dent in which a transit vehicle strikes a personExcludes suicides and suicide attempts Reportsare made if the incident results in death injury orproperty damage over $1000

Appendix B Glossary

COLLISION WITH VEHICLE (Transit) An inci-dent in which a transit vehicle strikes or is struckby another vehicle Reports are made if the inci-dent results in a death injury or property damageover $1000

COMBINATION TRUCK A power unit (trucktractor) and one or more trailing units (a semi-trailer or trailer)

COMMERCIAL BUS Any bus used to carry pas-sengers at rates specified in tariffs charges may becomputed per passenger (as in regular route ser-vice) or per vehicle (as in charter service)

COMMERCIAL SERVICE AIRPORT Airportreceiving scheduled passenger service and having2500 or more enplaned passengers per year

COMMUTER AIR CARRIER Different defini-tions are used for safety purposes and for eco-nomic regulations and reporting For safetyanalysis commuter carriers are defined as air car-riers operating under 14 CFR 135 that carry pas-sengers for hire or compensation on at least fiveround trips per week on at least one routebetween two or more points according to pub-lished flight schedules which specify the timesdays of the week and points of service On March20 1997 the size of the aircraft subject to 14CFR 135 was reduced from 30 to fewer than 10passenger seats (Larger aircraft are subject to themore stringent regulations of 14 CFR 121) Heli-copters carrying passengers or cargo for hirehowever are regulated under CFR 135 whatevertheir size Although in practice most commuterair carriers operate aircraft that are regulated forsafety purposes under 14 CFR 135 and most air-craft that are regulated under 14 CFR 135 areoperated by commuter air carriers this is not nec-essarily the case

For economic regulations and reporting require-ments commuter air carriers are those carriersthat operate aircraft of 60 or fewer seats or amaximum payload capacity of 18000 pounds orless These carriers hold a certificate issued undersection 298C of the Federal Aviation Act of 1958as amended

COMMUTER RAIL (Transit) Urban passengertrain service for short-distance travel between acentral city and adjacent suburb Does not includerapid rail transit or light rail service

COMPACT CAR An automobile industry desig-nation usually consisting of cars with a wheelbasebetween 100 and 104 inches

COMPRESSED NATURAL GAS Natural gascompressed to a volume and density that is practi-cal as a portable fuel supply It is used as a fuel fornatural gas-powered vehicles

CONSTANT DOLLAR Dollar value adjusted forchanges in the average price level by dividing acurrent dollar amount by a price index See alsoChained Dollar and Current Dollar

CORPORATE AVERAGE FUEL ECONOMYSTANDARDS (CAFEacute) Originally established byCongress for new automobiles and later for lighttrucks Under CAFE automobile manufacturersare required by law to produce vehicle fleets witha composite sales-weighted fuel economy notlower than the CAFE standards in a given yearFor every vehicle that does not meet the standarda fine is paid for every one-tenth of a mile per gal-lon that vehicle falls below the standard

CORPORATE FLYING (General Aviation) Cor-porate aircraft piloted by a professional crew

CRASH (Highway) An event that producesinjury andor property damage involves a motorvehicle in transport and occurs on a trafficway orwhile the vehicle is still in motion after runningoff the trafficway

CRUDE OIL A mixture of hydrocarbons thatexists in the liquid phase in natural undergroundreservoirs and remains liquid at atmospheric pres-sure after passing through surface-separatingfacilities

CURRENT DOLLAR Dollar value of a good orservice in terms of prices current at the time thegood or service is sold See also Chained Dollarand Current Dollar

DEADWEIGHT TONNAGE (Water) The carry-ing capacity of a vessel in long tons (2240pounds) It is the difference between the numberof tons of water a vessel displaces ldquolightrdquo and thenumber of tons it displaces when submerged tothe ldquoload linerdquo

DEMAND-RESPONSIVE VEHICLE (Transit) Anonfixed-route a nonfixed-schedule vehicle thatoperates in response to calls from passengers ortheir agents to the transit operator or dispatcher

Appendix B Glossary

DERAILMENTLEFT ROADWAY (Transit) Anoncollision incident in which a transit vehicleleaves the rails or road on which it travels Thisalso includes rollovers Reports are made for alloccurrences

DESTINATION OF TRIP (American Travel Sur-vey) The place the survey respondent names asthe destination of the trip If more than one loca-tion is visited on the same trip the farthest pointfrom the origin is considered the destination

DIESEL FUEL A complex mixture of hydrocar-bons with a boiling range between approximately350 and 650 degF Diesel fuel is composed primarilyof paraffins and naphthenic compounds thatauto-ignite from the heat of compression in a die-sel engine Diesel is used primarily by heavy-dutyroad vehicles construction equipment locomo-tives and by marine and stationary engines

DISTILLATE FUEL OIL A general classificationfor one of the petroleum fractions produced inconventional distillation operations Included areNo 1 No 2 and No 4 fuel oils and No 1 No 2and No 4 diesel fuels Distillate fuel oil is usedprimarily for space heating on- and off-highwaydiesel engine fuel (including railroad engine fueland fuel for agricultural machinery) and electricpower generation

DISTRIBUTION MAINS (Gas) A network ofpipelines services and equipment that carry orcontrol the supply of gas from the point of localsupply to and including the sales meters

DOMESTIC FREIGHT (Water) All waterbornecommercial movements between points in theUnited States Puerto Rico and the Virgin Islandsexcluding traffic with the Panama Canal ZoneCargo moved for the military in commercial ves-sels is reported as ordinary commercial cargomilitary cargo moved in military vessels isomitted

DOMESTIC OPERATIONS (Air Carrier) All aircarrier operations having destinations within the50 United States the District of Columbia theCommonwealth of Puerto Rico and the US Vir-gin Islands

DOMESTIC PASSENGER (Water) Any persontraveling on a public conveyance by waterbetween points in the United States Puerto Ricoand the Virgin Islands

DRY CARGO BARGES (Water) Large flat-bot-tomed nonself-propelled vessels used to transportdry-bulk materials such as coal and ore

EMERGENCY PREPAREDNESS TRUSTFUND See Trust Funds

ENERGY EFFICIENCY The ratio of energyinputs to the outputs from a process for examplemiles traveled per gallon of fuel (mpg)

ENPLANED PASSENGERS (Air Carrier) SeeRevenue Passenger Enplanements

ETHANOL A clear colorless flammable oxy-genated hydrocarbon with a boiling point of785 degC in the anhydrous state It is used in theUnited States as a gasoline octane enhancer andoxygenate (10-percent concentration) Ethanolcan be used in high concentrations in vehiclesoptimized for its use Otherwise known as ethylalcohol alcohol or grain-spirit

FATAL CRASH (Highway) A police-reportedcrash involving a motor vehicle in transport on atrafficway in which at least one person dies within30 days of the crash as a result of that crash

FATAL INJURY (Air) Any injury that results indeath within thirty days of the accident

FATALITY For purposes of statistical reportingon transportation safety a fatality shall be consid-ered a death due to injuries in a transportationcrash accident or incident that occurs within 30days of that occurrence

FATALITY (Rail) 1) Death of any person froman injury within 30 days of the accidentincident(may include nontrain accidentsincidents) or 2)Death of a railroad employee from an occupa-tional illness within 365 days after the occupa-tional illness was diagnosed by a physician

FATALITY (Recreational Boating) All deaths(other than deaths by natural causes) and missingpersons resulting from an occurrence that involvesa vessel or its equipment

FATALITY (Transit) A transit-caused death con-firmed within 30 days of a transit incident Inci-dents include collisions derailments personalcasualties and fires associated with transit agencyrevenue vehicles transit facilities on transit prop-erty service vehicles maintenance areas andrights of way

FATALITY (Water) All deaths and missing per-sons resulting from a vessel casualty

Appendix B Glossary

FEDERAL ENERGY REGULATORY COMMIS-SION (FERC) The Federal agency with jurisdic-tion over among other things gas pricing oilpipeline rates and gas pipeline certification

FERRY BOAT (Transit) Vessels that carry pas-sengers andor vehicles over a body of water Gen-erally steam or diesel-powered ferry boats mayalso be hovercraft hydrofoil and other high-speed vessels The vessel is limited in its use to thecarriage of deck passengers or vehicles or bothoperates on a short run on a frequent schedulebetween two points over the most direct waterroutes other than in ocean or coastwise serviceand is offered as a public service of a type nor-mally attributed to a bridge or tunnel

FIELD AND GATHERING GAS PIPELINES Anetwork of pipelines (mains) transporting naturalgas from individual wells to a compressor stationprocessing point or main trunk pipeline

FLAG STOP (Air) A drop-off or pick-up pointalong a predetermined route that is visited only byrequest or if a signal to stop is given

FOSSIL FUELS Any naturally occurring organicfuel formed in the Earths crust such as petro-leum coal and natural gas

FREIGHT REVENUE (Rail) Revenue from thetransportation of freight and from the exercise oftransit stopoff diversion and reconsignmentprivileges as provided for in tariffs

FREIGHTERS (Water) General cargo carriersfull containerships partial containerships roll-onrolloff ships and barge carriers

FULL-SIZE CAR As designated by the automo-bile industry cars with a wheelbase between 110and 114 inches

GAS TRANSMISSION PIPELINES Pipelinesinstalled for the purpose of transmitting gas froma source or sources of supply to one or more dis-tribution centers or to one or more large volumecustomers or a pipeline installed to interconnectsources of supply Typically transmission lines dif-fer from gas mains in that they operate at higherpressures and the distance between connections isgreater

GASOHOL A blend of finished motor gasoline(leaded or unleaded) and alcohol (generally etha-nol but sometimes methanol) limited to 10 per-cent by volume of alcohol

GASOLINE A complex mixture of relatively vol-atile hydrocarbons with or without small quanti-ties of additives that have been blended toproduce a fuel suitable for use in spark ignitionengines Motor gasoline includes both leaded orunleaded grades of finished motor gasolineblending components and gasohol Leaded gaso-line is no longer used in highway motor vehiclesin the United States

GENERAL AVIATION 1) All facets of civil avia-tion except facets of those air carriers holding aCertificate of Public Convenience and Necessity2) All civil aviation activity except that of air car-riers certificated in accordance with Federal Avia-tion Regulations (FAR) Parts 121 123 127 and135 The types of aircraft used in general aviationrange from corporate multiengine jet aircraftpiloted by professional crews to amateur-built sin-gle-engine piston-driven acrobatic planes to bal-loons and dirigibles 3) All civil aviationoperations other than scheduled air services andnonscheduled air transport operations for taxiscommuter air carriers and air travel clubs that donot hold Certificates of Public Convenience andNecessity

GENERAL ESTIMATES SYSTEM A data collec-tion system that uses a nationally representativeprobability sample selected from all police-reported highway crashes It began operation in1988

GROSS DOMESTIC PRODUCT The total out-put of goods and services produced by labor andproperty located in the United States valued atmarket prices As long as the labor and propertyare located in the United States the suppliers(workers and owners) may be either US residentsor residents of foreign countries

GROSS VEHICLE WEIGHT RATING (gvwr)(Truck) The maximum rated capacity of a vehi-cle including the weight of the base vehicle alladded equipment driver and passengers and allcargo

HARBOR MAINTENANCE TRUST FUND SeeTrust Funds

Appendix B Glossary

HAZARDOUS MATERIAL Any toxic substanceor explosive corrosive combustible poisonousor radioactive material that poses a risk to thepublics health safety or property-particularlywhen transported in commerce

HEAVY RAIL (Transit) An electric railway withthe capacity to transport a heavy volume of pas-senger traffic and characterized by exclusiverights-of-way multicar trains high speed rapidacceleration sophisticated signaling and high-platform loading Also known as ldquosubwayrdquo ldquoele-vated (railway)rdquo or ldquometropolitan railway(metro)rdquo

HIGHWAY-RAIL GRADE CROSSING (Rail) Alocation where one or more railroad tracks arecrossed by a public highway road or street or aprivate roadway at grade including sidewalks andpathways at or associated with the crossing

HIGHWAY TRUST FUND A grant-in-aid typefund administered by the US Department ofTransportation Federal Highway AdministrationMost funds for highway improvements are appor-tioned to States according to formulas that giveweight to population area and mileage

HOUSEHOLD TRIP (American Travel Survey)A trip in which one or more members of a house-hold travel together

HIGHWAY-USER TAX A charge levied on per-sons or organizations based on their use of publicroads Funds collected are usually applied towardhighway construction reconstruction andmaintenance

INCIDENT (Hazmat) Any unintentional releaseof hazardous material while in transit or storage

INCIDENT (Train) Any event involving themovement of a train or railcars on track equip-ment that results in a death a reportable injury orillness but in which railroad property damagedoes not exceed the reporting threshold

INCIDENT (Transit) Collisions derailmentspersonal casualties fires and property damage inexcess of $1000 associated with transit agencyrevenue vehicles all other facilities on the transitproperty and service vehicles maintenance areasand rights-of-way

INJURY (Air) See SERIOUS INJURY (air andgeneral aviation)

INJURY (Gas) Described in DOT Forms 71001or 71002 as an injury requiring ldquoin-patient hos-pitalizationrdquo (admission and confinement in ahospital beyond treatment administered in anemergency room or out-patient clinic in whichconfinement does not occur)

INJURY (Hazardous Liquid Pipeline) An injuryresulting from a hazardous liquid pipeline acci-dent that results in one or more of the following1) Loss of consciousness 2) A need to be carriedfrom the scene 3) A need for medical treatmentandor 4) A disability that prevents the dischargeof normal duties or the pursuit of normal dutiesbeyond the day of the accident

INJURY (Highway) Police-reported highwayinjuries are classified as follows

Incapacitating Injury Any injury other than afatal injury that prevents the injured person fromwalking driving or normally continuing theactivities the person was capable of performingbefore the injury occurred Includes severe lacera-tions broken or distorted limbs skull or chestinjuries abdominal injuries unconsciousness ator when taken from the accident scene andinability to leave the accident scene without assis-tance Exclusions include momentary uncon-sciousness

Nonincapacitating Evident Injury Any injuryother than a fatal injury or an incapacitatinginjury evident to observers at the scene of theaccident Includes lumps on head abrasionsbruises minor lacerations and others Excludeslimping

Possible Injury Any injury reported or claimedthat is not evident Includes momentary uncon-sciousness claim of injuries not obvious limpingcomplaint of pain nausea hysteria and others

INJURY (Highway-Rail Grade Crossing) 1) Aninjury to one or more persons other than railroademployees that requires medical treatment 2) Aninjury to one or more employees that requiresmedical treatment or that results in restriction ofwork or motion for one or more days or one ormore lost work days transfer to another job ter-mination of employment or loss of consciousness3) Any occupational illness affecting one or morerailroad employees that is diagnosed by aphysician

Appendix B Glossary

INJURY (Rail) 1) Injury to any person other thana railroad employee that requires medical treat-ment or 2) Injury to a railroad employee thatrequires medical treatment or results in restrictionof work or motion for one or more workdays oneor more lost workdays termination of employ-ment transfer to another job loss of conscious-ness or any occupational illness of a railroademployee diagnosed by a physician

INJURY (Recreational Boating) Injury requiringmedical treatment beyond first aid as a result ofan occurrence that involves a vessel or its equip-ment

INJURY (Transit) Any physical damage or harmto a person requiring medical treatment or anyphysical damage or harm to a person reported atthe time and place of occurrence For employeesan injury includes incidents resulting in time lostfrom duty or any definition consistent with a tran-sit agencys current employee injury reportingpractice

INJURY (Water) All personal injuries resultingfrom a vessel casualty that require medical treat-ment beyond first aid

INLAND AND COASTAL CHANNELSIncludes the Atlantic Coast Waterways the Atlan-tic Intracoastal Waterway the New York StateBarge Canal System the Gulf Coast Waterwaysthe Gulf Intracoastal Waterway the MississippiRiver System (including the Illinois Waterway)Pacific Coast Waterways the Great Lakes and allother channels (waterways) of the United Statesexclusive of Alaska that are usable for commer-cial navigation

INSTRUCTIONAL FLYING Flying under thesupervision of a flight instructor (excludes profi-ciency flying)

INTERCITY CLASS BUS I As defined by theBureau of Transportation Statistics an interstatemotor carrier of passengers with an averageannual gross revenue of at least $1 million

INTERCITY TRUCK Truck that carries freightbeyond local areas and commercial zones

INTERMEDIATE -SIZE CAR As designated bythe automobile industry a car with a wheelbasebetween 105 and 109 inches

INTERNAL TRAFFIC (Water) Vessel move-ments (origin and destination) that take placesolely on inland waterways located within theboundaries of the contiguous 48 states or withinthe state of Alaska The term ldquointernal trafficrdquoalso applies to carriage on both inland waterwaysand the water of the Great Lakes carriagebetween offshore areas and inland waterwaysand carriage occurring within the Delaware BayChesapeake Bay Puget Sound and the San Fran-cisco Bay which are considered internal bodies ofwater rather than arms of the ocean

INTERSTATE HIGHWAY Limited accessdivided highway of at least four lanes designatedby the Federal Highway Administration as part ofthe Interstate System

INTRAPORT (Water) Movement of freightwithin the confines of a port whether the port hasone or several channels included in the port defi-nition Does not include car-ferries and generalferries moving within a port

INTRATERRITORY TRAFFIC (Water) Trafficbetween ports in Puerto Rico and the US VirginIslands which are considered a single unit

JET FUEL The term includes kerosene-type jetfuel and naphtha-type jet fuel Kerosene-type jetfuel is used primarily for commercial turbojet andturboprop aircraft engines Naphtha-type jet fuelis used primarily for military turbojet and turbo-prop aircraft engines

LAKEWISE OR GREAT LAKES TRAFFICWaterborne traffic between US ports on theGreat Lakes system The Great Lakes system istreated as a separate waterways system ratherthan as a part of the inland system

LARGE CERTIFICATED AIR CARRIERS Anair carrier holding a certificate issued under sec-tion 401 of the Federal Aviation Act of 1958 asamended that 1) Operates aircraft designed tohave a maximum passenger capacity of more than60 seats or a maximum payload capacity of morethan 18000 pounds or 2) Conducts operationswhere one or both terminals of a flight stage areoutside the 50 states of the United States the Dis-trict of Columbia the Commonwealth of PuertoRico and the US Virgin Islands Large certifi-cated air carriers are grouped by annual operatingrevenues 1) Majors (more than $1 billion inannual operating revenues) 2) Nationals(between $100 million and $1 billion in annual

Appendix B Glossary

operating revenues) Large regionals ($20 millionand $99999999 in annual operating revenues)and 4) Medium regionals (less than $20 million inannual operating revenues)

LARGE REGIONALS (Air) Air carrier groupswith annual operating revenues between $20 mil-lion and $99999999

LARGE CAR As designated by the automobileindustry a car with a wheelbase greater than 114inches

LARGE TRUCK Trucks over 10000 poundsgross vehicle weight rating including single-unittrucks and truck tractors

LEASE CONDENSATE A mixture consistingprimarily of pentanes and heavier hydrocarbonswhich are recovered as a liquid from natural gasin lease or field separation facilities This categoryexcludes natural gas liquids such as butane andpropane which are recovered at natural gas pro-cessing plants or facilities

LIGHT-DUTY VEHICLE A vehicle category thatcombines light automobiles and trucks

LIGHT RAIL A streetcar-type vehicle operatedon city streets semiexclusive rights-of-way orexclusive rights-of-way Service may be providedby step-entry vehicles or by level boarding

LIGHT TRUCK Trucks of 10000 pounds grossvehicle weight rating or less including pickupsvans truck-based station wagons and sport util-ity vehicles

LIQUEFIED NATURAL GAS (LNG) Naturalgas primarily methane that has been liquefied byreducing its temperature to -260 degF at atmo-spheric pressure

LIQUEFIED PETROLEUM GAS (LPG) Pro-pane propylene normal butane butylene isobu-tane and isobutylene produced at refineries ornatural gas processing plants including plantsthat fractionate new natural gas plant liquids

LOCOMOTIVE Railroad vehicle equipped withflanged wheels for use on railroad tracks pow-ered directly by electricity steam or fossil fueland used to move other railroad rollingequipment

LOCOMOTIVE-MILE The movement of a loco-motive unit under its own power the distance of1 mile

MAINS (Gas) A network of pipelines that servesas a common source of supply for more than onegas service line

MAJORS (Air) Air carrier groups with annualoperating revenues exceeding $1 billion

MEDIUM REGIONALS (Air) Air carrier groupswith annual operating revenues less than $20million

MERCHANDISE TRADE EXPORTS Merchan-dise transported out of the United States to for-eign countries whether such merchandise isexported from within the US Customs territoryfrom a US Customs bonded warehouse or froma US Foreign Trade Zone (Foreign Trade Zonesare areas operated as public utilities under thecontrol of US Customs with facilities for han-dling storing manipulating manufacturing andexhibiting goods)

MERCHANDISE TRADE IMPORTS Com-modities of foreign origin as well as goods ofdomestic origin returned to the United States withno change in condition or after having been pro-cessed andor assembled in other countries PuertoRico is a Customs district within the US Cus-toms territory and its trade with foreign countriesis included in US import statistics US importstatistics also include merchandise trade betweenthe U S Virgin Islands and foreign countries eventhough the Islands are not officially a part of theUS Customs territory

METHANOL A light volatile alcohol producedcommercially by the catalyzed reaction of hydro-gen and carbon monoxide Methanol is blendedwith gasoline to improve its operational effi-ciency

METHYL TERTIARY BUTYL ETHER(MTBE) A colorless flammable liquid oxygen-ated hydrocarbon that contains 1815 percentoxygen It is a fuel oxygenate produced by react-ing methanol with isobutylene

MID-SIZE CAR See Intermediate-Size Car

MINI-COMPACT CAR An automobile industrydesignation usually consisting of cars with awheelbase of less than 95 inches

MINOR ARTERIALS (Highway) Streets andhighways linking cities and larger towns in ruralareas in distributing trips to small geographicareas in urban areas (not penetrating identifiableneighborhoods)

Appendix B Glossary

MOTOR BUS (Transit) A rubber-tired self-pro-pelled manually steered bus with fuel supplyonboard the vehicle Motor bus types includeintercity school and transit

MOTORCYCLE A two- or three-wheeled motorvehicle designed to transport one or two peopleincluding motor scooters minibikes and mopeds

NATIONALS (Air) Air carrier groups withannual operating revenues between $100 millionand $1 billion

NATURAL GAS A naturally occurring mixtureof hydrocarbon and nonhydrocarbon gases foundin porous geologic formations beneath the Earthssurface often in association with petroleum Theprincipal constituent is methane

NATURAL GAS PLANT LIQUIDS Liquidsrecovered from natural gas in processing plants orfield facilities or extracted by fractionators Theyinclude ethane propane normal butane isobu-tane pentanes plus and other products such asfinished motor gasoline finished aviation gaso-line special naphthas kerosene and distillate fueloil produced at natural gas processing plants

NEAR MIDAIR COLLISION (Air) An incidentin which the possibility of a collision occurred asa result of aircraft flying with less than 500 feet ofseparation or a report received from a pilot orflight crew member stating that a collision hazardexisted between two or more aircraft

NONOCCUPANT (Automobile) Any personwho is not an occupant of a motor vehicle intransport (eg bystanders pedestrians pedalcy-clists or an occupant of a parked motor vehicle)

NONRESPONSE ERROR Error that resultsfrom some members of the sample or census notproviding information Nonresponse bias resultsfrom a systematic difference between those whodo and those who do not respond to the measure-ment instrument

NONSAMPLING ERROR All sources of bias orinaccuracy in a study other than sampling errorExamples of nonsampling errors include process-ing recording or dataentry errors nonresponseerror and response error

NONSCHEDULED SERVICE (Air) Revenueflights not operated as regular scheduled servicesuch as charter flights and all nonrevenue flightsincident to such flight

NONSELF-PROPELLED VESSEL (Water) A ves-sel without the means for self- propulsionIncludes dry cargo and tanker barges

NONTRAIN INCIDENT An event that resultsin a reportable casualty but does not involve themovement of ontrack equipment and does notcause reportable damage above the thresholdestablished for train accidents

NONTRESPASSERS (Rail) A person lawfully onany part of railroad property used in railroadoperations or a person adjacent to railroad pre-mises when injured as the result of railroad opera-tions

NONVESSEL-CASUALTY-RELATED DEATHA death that occurs onboard a commercial vesselbut not as a result of a vessel casualty such as acollision fire or explosion

OCCUPANT Any person in or on a motor vehi-cle in transport Includes the driver passengersand persons riding on the exterior of a motorvehicle (eg a skateboard rider holding onto amoving vehicle) Excludes occupants of parkedcars unless they are double parked or motionlesson the roadway

OCCUPATIONAL FATALITY Death resultingfrom a job-related injury

OPERATING EXPENSES (Air) Expensesincurred in the performance of air transportationbased on overall operating revenues and expensesDoes not include nonoperating income andexpenses nonrecurring items or income taxes

OPERATING EXPENSES (Rail) Expenses of fur-nishing transportation services including mainte-nance and depreciation of the plant used in theservice

OPERATING EXPENSES (Transit) The total ofall expenses associated with operation of an indi-vidual mode by a given operator Includes distri-butions of ldquojoint expensesrdquo to individual modesand excludes ldquoreconciling itemsrdquo such as interestexpenses and depreciation Should not be con-fused with ldquovehicle operating expensesrdquo

OPERATING EXPENSES (Truck) Includesexpenditures for equipment maintenance supervi-sion wages fuel equipment rental terminal oper-ations insurance safety and administrative andgeneral functions

Appendix B Glossary

OPERATING REVENUES (Air) Revenues fromthe performance of air transportation and relatedincidental services Includes l) Transportation rev-enues from the carriage of all classes of traffic inscheduled and nonscheduled services and 2) Non-transportation revenues consisting of federal sub-sidies (where applicable) and services related toair transportation

OTHER FREEWAYS AND EXPRESSWAYS(Highway) All urban principal arterials with lim-ited access but not part of the Interstate system

OTHER PRINCIPAL ARTERIAL (Highway)Major streets or highways many of multilane orfreeway design serving high-volume traffic corri-dor movements that connect major generators oftravel

OTHER RAIL REVENUE This includes reve-nues from miscellaneous operations (ie dining-and bar-car services) income from lease of roadand equipment miscellaneous rental incomeincome from nonoperating property profit fromseparately operated properties dividend incomeinterest income income from sinking and otherreserve funds release or premium on funded debtcontributions from other companies and othermiscellaneous income

OTHER REVENUE VEHICLES (Transit) Otherrevenue-generating modes of transit service suchas cable cars personal rapid transit systemsmonorail vehicles inclined railway cars etc notcovered otherwise

OTHER 2-AXLE 4-TIRE VEHICLES (Truck)Includes vans pickup trucks and sport utilityvehicles

OTHER WORK (General Aviation) Con-struc-tion work (not Federal Aviation Regulations Part135) helicopter hoist parachuting aerial adver-tising and towing gliders

OXYGENATES Any substance that when addedto motor gasoline increases the amount of oxygenin that gasoline blend Includes oxygen-bearingcompounds such as ethanol methanol andmethyl tertiary butyl ether Oxygenated fuel tendsto give a more complete combustion of carboninto carbon dioxide (rather than monoxide)thereby reducing air pollution from exhaustemissions

PASSENGER CAR A motor vehicle designed pri-marily for carrying passengers on ordinary roadsincludes convertibles sedans and stations wag-ons

PASSENGER-MILE 1) Air One passenger trans-ported 1 mile passenger-miles for one interairportflight are calculated by multiplying aircraft milesflow by the number of passengers carried on theflight The total passenger-miles for all flights isthe sum of passenger-miles for all interairportflights 2) Auto One passenger traveling 1 mileeg one car transporting two passengers 4 milesresults in eight passenger-miles 3) Transit Thetotal number of miles traveled by transit passen-gers eg one bus transporting five passengers 3miles results in 15 passenger-miles

PASSENGER REVENUE 1) Rail Revenue fromthe sale of tickets 2) Air Revenues from thetransport of passengers by air 3) Transit Farestransfer zone and park-and-ride parking chargespaid by transit passengers Prior to 1984 fare rev-enues collected by contractors operating transitservices are not included

PASSENGER VESSELS A vessel designed for thecommercial transport of passengers

PEDALCYCLIST A person on a vehicle that ispowered solely by pedals

PEDESTRIAN Any person not in or on a motorvehicle or other vehicle Excludes people in build-ings or sitting at a sidewalk cafe The NationalHighway Traffic Safety Administration also usesan ldquoother pedestrianrdquo category to refer to pedes-trians using conveyances and people in buildingsExamples of pedestrian conveyances includeskateboards nonmotorized wheelchairs roller-skates sleds and transport devices used asequipment

PERSON-MILES (American Travel Survey) Anestimate of the aggregate distances traveled by allpersons on a given trip based on the estimatedtransportation-network-miles traveled on thattrip

PERSON TRIP (American Travel Survey) A triptaken by an individual For example if three per-sons from the same household travel together thetrip is counted as one household trip and threeperson trips

Appendix B Glossary

PERSONAL BUSINESS TRIP (American TravelSurvey) A trip taken for a school-related activityor for personal or family business including wed-dings and funerals

PERSONAL-USE VEHICLE TRIP (AmericanTravel Survey) A trip in which the principlemeans of transportation is a car pickup truck orvan other truck rental car truck or van recre-ational vehicle or motor home or motorcycle ormoped

PLEASURE TRIP (American Travel Survey) Atrip taken to visit friends or relatives or forleisure

PERSONAL CASUALTY (Transit) 1) An inci-dent in which a person is hurt while getting on oroff a transit vehicle (eg falls or door incidents)but not as a result of a collision derailmentleftroadway or fire 2) An incident in which a personis hurt while using a lift to get on or off a transitvehicle but not as a result of a collision derail-mentleft roadway or fire 3) An incident in whicha person is injured on a transit vehicle but not asa result of a collision derailmentleft roadway orfire 4) An incident in which a person is hurt whileusing a transit facility This includes anyone ontransit property (eg patrons transit employeestrespassers) but does not include incidents result-ing from illness or criminal activity

PERSONAL WATERCRAFT Craft less than 13feet in length designed to be operated by a personor persons sitting standing or kneeling on thecraft rather than within the confines of a hull

PETROLEUM (Oil) A generic term applied to oiland oil products in all forms such as crude oillease condensate unfinished oils petroleum prod-ucts natural gas plant liquids and nonhydrocar-bon compounds blended into finished petroleumproducts

PROPERTY DAMAGE (Transit) The dollaramount required to repair or replace transit prop-erty (including stations right of way bus stopsand maintenance facilities) damaged during anincident

PUBLIC ROAD Any road under the jurisdictionof and maintained by a public authority (federalstate county town or township local govern-ment or instrumentality thereof) and open topublic travel

RAIL MOTOR CARS Self-propelled passengerrail cars that are driven by electric motors ener-gized from an electrified roadway or by a genera-tor driven by a diesel or gas turbine engine

RAPID RAIL TRANSIT Transit service using railcars driven by electricity usually drawn from athird rail configured for passenger traffic andusually operated on exclusive rights-of-way Itgenerally uses longer trains and has longer stationspacing than light rail

REFORMULATED GASOLINE Gasoline whosecomposition has been changed to meet perfor-mance specifications regarding ozone-formingtendencies and release of toxic substances into theair from both evaporation and tailpipe emissionsReformulated gasoline includes oxygenates andcompared with gasoline sold in 1990 has a lowercontent of olefins aromatics volatile compo-nents and heavy hydrocarbons

RESIDUAL FUEL OIL The heavier oils thatremain after the distillate fuel oils and lighterhydrocarbons are distilled away in refinery opera-tions and that conform to American Society forTesting and Materials (ASTM) SpecificationsD396 and 976 Includes among others NavySpecial oil used in steam-powered vessels in gov-ernment service and No 6 oil used to powerships Imports of residual fuel oil includeimported crude oil burned as fuel

RESPONSE ERROR Error that results from thetendency of people to answer a question falselydeliberate misrepresentation unconscious falsifi-cation or misunderstanding of what is required

REVENUE Remuneration received by carriersfor transportation activities

REVENUE PASSENGER 1) Air Person receivingair transportation from an air carrier for whichremuneration is received by the carrier Air carrieremployees or others except ministers of religionelderly individuals and handicapped individualsreceiving reduced rate charges (less than the appli-cable tariff) are considered nonrevenue passen-gers Infants for whom a token fare is chargedare not counted as passengers 2) Transit Single-vehicle transit rides by initial-board (first-ride)transit passengers only Excludes all transfer ridesand all nonrevenue rides 3) Rail Number of one-way trips made by persons holding tickets

Appendix B Glossary

REVENUE PASSENGER ENPLANEMENTS(Air) The total number of passengers boardingaircraft Includes both originating and connectingpassengers

REVENUE PASSENGER LOAD FACTOR (Air)Revenue passenger-miles as a percent of availableseat-miles in revenue passenger services The termis used to represent the proportion of aircraft seat-ing capacity that is actually sold and utilized

REVENUE PASSENGER-MILE One revenuepassenger transported 1 mile

REVENUE PASSENGER TON-MILE (Air) Oneton of revenue passenger weight (including allbaggage) transported 1 mile The passengerweight standard for both domestic and interna-tional operations is 200 pounds

REVENUE TON-MILE One short ton of freighttransported 1 mile

REVENUE VEHICLE-MILES (Transit) Onevehicle (bus trolley bus streetcar) traveling 1 milewhile revenue passengers are on board generatesone revenue vehicle-mile Revenue vehicle-milesreported represent the total mileage traveled byvehicles in scheduled or unscheduled revenue-pro-ducing services

ROAD OIL Any heavy petroleum oil includingresidual asphaltic oil that is used as a dust pallia-tive and surface treatment on roads and high-ways It is generally produced in 6 grades from 0the most liquid to 5 the most viscous

ROLL ONROLL OFF VESSEL Ships that aredesigned to carry wheeled containers or otherwheeled cargo and use the roll onroll off methodfor loading and unloading

ROUND-TRIP DISTANCE (American TravelSurvey) The estimated transportation network-miles traveled at the time of the trip from thehousehold residence to the destination and back

RURAL HIGHWAY Any highway road or streetthat is not an urban highway

RURAL MILEAGE (Highway) Roads outsidecity municipal district or urban boundaries

SAMPLING ERROR The estimated inaccuracyof the results of a study when a population sam-ple rather than a census is used to explain thebehavior of the total population (Also referred toas margin of error and standard error)

SCHEDULED SERVICE (Air) Transport serviceoperated pursuant to published flight schedules

SCHOOL BUS A passenger motor vehicle that isdesigned or used to carry more than 10 passen-gers in addition to the driver and as determinedby the Secretary of Transportation is likely to besignificantly used for the purpose of transportingpre-primary primary or secondary school stu-dents between home and school

SCHOOL-BUS-RELATED CRASH Any crash inwhich a vehicle regardless of body design used asa school bus is directly or indirectly involved suchas a crash involving school children alightingfrom a vehicle

SCOW (Water) Any flat-bottomed nonself-pro-pelled rectangular vessel with sloping ends Largescows are used to transport sand gravel orrefuse

SELF-PROPELLED VESSEL A vessel that has itsown means of propulsion Includes tankers con-tainerships dry bulk cargo ships and generalcargo vessels

SERIOUS INJURY (Air CarrierGeneral Avia-tion) An injury that requires hospitalization formore than 48 hours commencing within 7 daysfrom the date when the injury was receivedresults in a bone fracture (except simple fracturesof fingers toes or nose) involves lacerations thatcause severe hemorrhages nerve muscle or ten-don damage involves injury to any internalorgan or involves second- or third-degree burnsor any burns affecting more than 5 percent of thebody surface

SMALL CERTIFICATED AIR CARRIER An aircarrier holding a certificate issued under section401 of the Federal Aviation Act of 1958 asamended that operates aircraft designed to have amaximum seating capacity of 60 seats or fewer ora maximum payload of 18000 pounds or less

STATE AND LOCAL HIGHWAY EXPENDI-TURES Disbursements for capital outlay mainte-nance and traffic surfaces administration andresearch highway law enforcement and safetyand interest on debt

STREETCARS Relatively lightweight passengerrail cars operating singly or in short trains orfixed rails in right-of-way that are not always sep-arated from other traffic for much of the wayStreetcars do not necessarily have the right-of-wayat grade crossings with other traffic

Appendix B Glossary

SUBCOMPACT CAR As designated by the auto-mobile industry a car with a wheelbase between95 and 99 inches

SUPPLEMENTAL AIR CARRIER An air carrierauthorized to perform passenger and cargo char-ter services

TANKER An oceangoing ship designed to haulliquid bulk cargo in world trade

TON-MILE (Truck) The movement of 1 ton ofcargo the distance of 1 mile Ton-miles are calcu-lated by multiplying the weight in tons of eachshipment transported by the miles hauled

TON-MILE (Water) The movement of 1 ton ofcargo the distance of 1 statute mile Domestic ton-miles are calculated by multiplying tons moved bythe number of statute miles moved on the water(eg 50 short tons moving 200 miles on a water-way would yield 10000 ton-miles for that water-way) Ton-miles are not computed for ports Forcoastwise traffic the shortest route that safe navi-gation permits between the port of origin and des-tination is used to calculate ton-miles

TRAFFICWAY (Highway) Any right-of-wayopen to the public as a matter of right or customfor moving persons or property from one place toanother including the entire width between prop-erty lines or other boundaries

TRAIN LINE MILEAGE The aggregate length ofall line-haul railroads It does not include themileage of yard tracks or sidings nor does itreflect the fact that a mile of railroad may includetwo or more parallel tracks Jointly-used track iscounted only once

TRAIN-MILE A train-mile is the movement of atrain which can consist of many cars the distanceof 1 mile A train-mile differs from a vehicle-milewhich is the movement of one car (vehicle) thedistance of 1 mile A 10-car (vehicle) train travel-ing 1 mile is measured as 1 train-mile and 10 vehi-cle-miles Caution should be used whencomparing train-miles to vehicle-miles

TRANSIT VEHICLE Includes light heavy andcommuter rail motor bus trolley bus van poolsautomated guideway and demand-responsivevehicles

TRANSSHIPMENTS Shipments that enter orexit the United States by way of a US Customsport on the northern or southern border butwhose origin or destination was a country otherthan Canada or Mexico

TRAVEL PARTY (American Travel Survey)Household and nonhousehold members travelingtogether on a trip

TRESPASSER (Rail) Any person whose presenceon railroad property used in railroad operations isprohibited forbidden or unlawful

TRIP (American Travel Survey) Roundtrip travelto a destination at least 100 miles from home Thefollowing types of trips are excluded 1) travel aspart of an operating crew on a train airplanetruck bus or ship 2) regular commuting to workor school 3) one-way trips to move to a new des-tination and 4) trips by members of the ArmedForces while on active duty

TROLLEY BUS Rubber-tired electric transitvehicle manually steered and propelled by amotor drawing current normally through over-head wires from a central power source

TRUST FUNDS Accounts that are specificallydesignated by law to carry out specific purposesand programs Trust Funds are usually financedwith earmarked tax collections

TUG BOAT A powered vessel designed for thetowing or pushing of ships dumb barges pushed-towed barges and rafts but not for the carriageof goods

US FLAG CARRIER OR AMERICAN FLAGCARRIER (Air) One of a class of air carriersholding a Certificate of Public Convenience andNecessity issued by the US Department of Trans-portation and approved by the President autho-rizing scheduled operations over specified routesbetween the United States (andor its territories)and one or more foreign countries

UNLEADED GASOLINE See Gasoline

UNLINKED PASSENGER TRIPS (Transit) Thenumber of passengers who board public transpor-tation vehicles A passenger is counted each timeheshe boards a vehicle even if on the same jour-ney from origin to destination

URBAN HIGHWAY Any road or street withinthe boundaries of an urban area An urban area isan area including and adjacent to a municipalityor urban place with a population of 5000 or

Appendix B Glossary

more The boundaries of urban areas are fixed bystate highway departments subject to theapproval of the Federal Highway Administrationfor purposes of the Federal-Aid highway program

VANPOOL (Transit) Public-sponsored commuterservice operating under prearranged schedules forpreviously formed groups of riders in 8- to 18-seatvehicles Drivers are also commuters who receivelittle or no compensation besides the free ride

VEHICLE MAINTENANCE (Transit) All acti-vities associated with revenue and nonrevenue(service) vehicle maintenance including adminis-tration inspection and maintenance and servic-ing (cleaning fueling etc) vehicles In addition itincludes repairs due to vandalism or to revenuevehicle accidents

VEHICLE-MILES (Highway) Miles of travel byall types of motor vehicles as determined by thestates on the basis of actual traffic counts andestablished estimating procedures

VEHICLE-MILES (Transit) The total number ofmiles traveled by transit vehicles Commuter railheavy rail and light rail report individual car-miles rather than train-miles for vehicle-miles

VEHICLE OPERATIONS (Transit) All activitiesassociated with transportation administrationincluding the control of revenue vehicle move-ments scheduling ticketing and fare collectionsystem security and revenue vehicle operation

VESSEL CASUALTY (Water) An occurrenceinvolving commercial vessels that results in 1)Actual physical damage to property in excess of$25000 2) Material damage affecting the sea-worthiness or efficiency of a vessel 3) Strandingor grounding 4) Loss of life or 5) Injury causingany person to remain incapacitated for a period inexcess of 72 hours except injury to harbor work-ers not resulting in death and not resulting fromvessel casualty or vessel equipment casualty

VESSEL-CASUALTY-RELATED DEATH Fatal-ity that occurs as a result of an incident thatinvolves a vessel or its equipment such as a colli-sion fire or explosion Includes drowning deaths

WATERBORNE TRANSPORTATION Trans-port of freight andor people by commercial ves-sels under US Coast Guard jurisdiction

WAYBILL A document that lists goods and ship-ping instructions relative to a shipment

WEEKEND TRIP (American Travel Survey)Travel by persons who stay one or two nightsaway including a Friday andor Saturday nightTravel over three to five nights including a Fridayandor Saturday night stay is defined as a long-weekend trip

appendix c

Acronyms and Initialisms

AAA American Automobile AssociationAADT Annual Average Daily TrafficAAMA American Automobile Manufacturers

AssociationAAR Association of American RailroadsAAS Air Activity Statistics of Certificated

Air CarriersAGA American Gas AssociationAI Alcohol InvolvementAIA Aerospace Industries AssociationALVW Adjusted Loaded Vehicle WeightAMIO Alien Migrant Interdiction OperationsAOPL Association of Oil PipelinesAPTA American Public Transit AssociationATS American Travel SurveyATV All-Terrain Vehicle

BAC Blood Alcohol ConcentrationBEA Bureau of Economic AnalysisBMA Bicycle Manufacturers AssociationBTS Bureau of Transportation StatisticsBtu British Thermal Unit

CFR US Code of Federal RegulationCFS Commodity Flow SurveyCNG Compressed Natural GasCO Carbon MonoxideCVS Certification Vehicle Standard

dB DecibelsDNL Day Night Sound Leveldwt Deadweight Tons

EPA US Environmental Protection AgencyEIA Energy Information Administration

FAA Federal Aviation AdministrationFARS Fatality Analysis Reporting System

Database

FERC Federal Energy RegulatoryCommission

FHWA Federal Highway AdministrationFRA Federal Railway AdministrationFTA Federal Transit AdministrationFTP Federal Test ProcedureFTZ Foreign Trade Zone

GAATA General Aviation and Air TaxiActivity

GAMA General Aviation ManufacturersAssociation

GES General Estimates SystemGIS Geographic Information Systemgmi Grams Per MileGVWR Gross Vehicle Weight Rating

HC HydrocarbonHPMS Highway Performance Monitoring

System

ICC Interstate Commerce CommissionINM Integrated Noise ModelIO Investigative OfficerIRI International Roughness Index

LDT Light-Duty TruckLMIS Lloyds Maritime Information SystemLPG Liquefied Petroleum GasLR Lloyds RegisterLVW Loaded Vehicle Weight

MARAD Maritime AdministrationMCMIS Motor Carrier Management

Information SystemMDPV Medium-Duty Passenger VehiclesMIC Motorcycle Industry Council Incmmbd Million Barrels Per DayMOBILE Mobile Source Emissions Factor

Model

Appendix C Acronyms and Initialisms

mpg Miles Per GallonMSIS Marine Safety Information SystemMTBE Methyl Tributyl EtherMVMA Motor Vehicle Manufacturers

Association

NANIM Nationwide Airport Noise ImpactModel

NBDA National Bicycle Dealers AssociationNDC Navigation Data CenterNHS National Highway SystemNHTSA National Highway Traffic Safety

AdministrationNMAC Near Mid-Air CollisionNOx Nitrogen OxidesNOPS National Operations CenterNOPUS National Occupant Protection Use

SurveyNPIAS National Plan of Integrated Airport

SystemsNPTS Nationwide Personal Transportation

SurveyNTD National Transit DatabaseNTS National Transportation StatisticsNTSB National Transportation Safety Board

OAG Official Airline GuideOAI Office of Airline InformationOIG Office of the Inspector GeneralOPS Office of Pipeline SafetyORNL Oak Ridge National LaboratoryOST Office of the Secretary of

Transportation

PAR Police Accident ReportPIRS Pollution Incident Reporting System

PMT Passenger Miles of TravelPSI Pollutant Standard IndexPSR Present Serviceability Rating

RFG Reformulated GasolineRORO Roll-OnRoll-OffRSPA Research and Special Programs

AdministrationRTECS Residential Transportation Energy

Consumption SurveyRVP Reid Vapor Pressure

SAMIS Safety Management InformationStatistics

SEC Securities and Exchange CommissionSHA State Highway AgenciesSO2 Sodium DioxideSTB Surface Transportation Board

TAF Terminal Area ForecastTIUS Truck Inventory and Use SurveyTMG Traffic Monitoring GuideTRFD Transportation-Related Final

DemandTSFD Transborder Surface Freight DataTTI Texas Transportation Institute

USACE US Army Corps of EngineersUSCG US Coast GuardUSDOC US Department of CommerceUSDOD US Department of DefenseUSDOT US Department of TransportationUSSR Union of Soviet Social Republic

appendix d

Modal Profiles

Financial 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues (thousand dollars) 1

Domestic total a 2178339 7180161 26440297 58201660 66672151 71424865 77396919 82599270 86856624 91351103 98899810 86573051 79336448 88870097 100902509 110269243 120279816Majors all services 1942635 6272775 23012073 56138825 59846676 63226187 69515318 74942391 77650810 80800698 89293771 78599844 71730250 77196343 85605321 95955258 110175124Nationals all services 146481 736831 3182418 1251559 4888701 6329602 6109778 5940674 7225393 9230210 9016171 7494385 6961517 10580912 14064227 13171292 9200672Large regionals all services N N 245806 703526 1031404 1148504 1230628 1366503 1617586 902160 589869 478822 644680 1092842 1232961 1142693 904019

International total 705938 2109497 6442144 17824538 22364429 23432883 25046819 27318034 26611331 27958958 31348410 28706979 27837150 28897918 33719280 39535274 44388011Majors all services 705938 2109497 5976221 17083295 19222842 19820215 20960305 23608853 23356233 24447607 28097698 25883361 24528512 24964860 29735873 34226000 38988147Nationals all services N N 465923 380294 2568643 2819653 3751539 3338903 2668243 3026884 2801690 2503678 2959809 3408860 3399904 4803265 5160564Large regionals all services N N N 357761 572944 793015 334975 370278 586855 484468 449022 319940 348828 524198 583502 506009 239299

Total large-certificated a 2884877 9289658 32882441 76026198 89036580 94857748 102443738 109917304 113467954 119310062 130248220 115280030 107173597 117768015 134621789 149804516 164667827Operating expenses (thousand dollars) 1

Domestic total a 2052094 7001668 26465999 59183777 64456644 66667151 72145242 76125467 78796175 84816236 93548937 94949876 86826833 91520149 104621676 112363170 116140022Majors all services 1907785 6256039 23150527 57138322 57824115 58694406 64143384 68307270 70114852 74834600 84206809 86611140 79196985 80810165 89877864 98352872 106259194Nationals all services 144309 745629 3058289 1258274 4666546 6178809 6058307 5921639 6672705 8638079 8726001 7814067 6958543 9677656 13501703 12849910 8985641Large regionals all services N N 257183 676688 1077578 1055905 1328760 1502305 1600958 858956 616126 524670 671305 1032329 1242109 1160389 895187

International total 665660 2065605 6642095 18757740 21842021 22335258 24155202 25249593 25387024 26157262 29685280 30649400 28922103 28340403 31490257 37059043 41001911Majors all services 665660 2065605 6171366 18086050 18875302 18997478 20406144 21688642 22321441 22993261 26647046 27664641 25687398 24606982 27783564 32207742 35951166Nationals all services N N 470729 325273 2372138 2582833 3414618 3209074 2514464 2714754 2556866 2663591 2914105 3253707 3157046 4349805 4818660Large regionals all services N N N 344097 594581 754947 334440 351877 551119 449247 481367 321169 320601 479714 549646 501496 232085

Total large-certificated a 2717754 9067273 33108094 77941517 86298665 89002409 96300444 101375060 104183200 110973499 123234216 125599276 115748936 119860552 136111932 149422213 157141933Inventory for large-certificated carriersb

Number of carriers c2

Total domestic and international 55 39 (R) 52 (R) 58 (R) 66 (R) 84 (R) 88 (R) 72 (R) 74 (R) 75 (R) 66 (R) 61 (R) 62 65 69 67 66Majors N N 14 12 11 11 12 13 13 13 14 (R) 14 13 14 14 17 20Nationals N N (R) 16 15 (R) 22 27 31 (R) 28 27 (R) 28 (R) 29 (R) 26 (R) 25 26 28 28 25Regionals N N (R) 22 (R) 31 (R) 33 (R) 46 (R) 45 (R) 31 (R) 34 (R) 34 (R) 23 (R) 21 (R) 24 25 27 22 21

Number of aircraft available for service 3

Total domestic and international 2135 2690 2818 4727 5221 5567 5961 5770 6144 6254 6522 6081 5819 6675 7051 6750 6758Majors N N 2071 3854 4085 4039 4422 4352 4605 4711 5118 4996 4530 4948 4904 5018 5626Nationals N N 432 650 819 1143 1167 967 1113 1319 1182 952 1079 1299 1858 1478 940Regionals N N 315 223 317 385 372 451 426 224 222 133 210 428 289 254 192

Number of full-time equivalent employees c2

Total domestic and international 169872 304690 347335 555262 535394 555537 575937 593542 631147 659689 667778 599531 590779 558246 563588 547795 539833Majors 118189 214021 312842 517754 481041 484870 511270 540039 564388 590197 612814 557422 537776 489036 478114 478142 490631Nationals 12470 24913 29269 30225 42785 54447 51921 43630 54205 60756 51384 38446 48685 64348 78090 63246 41908Regionals N N 5225 7283 11569 16221 12747 9873 12555 8737 3580 3664 4318 4863 7385 6407 7295

continued

Air Carrier Profile

Performance 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Aircraft revenue-miles (thousands) 4

DomesticCertificated all services ad 858451 2067598 2523375 3963268 4379929 4629393 4811447 4939436 5033144 5332176 5662443 5549662 5602737 6086649 6591637 6714903 6624022Majors all services 716961 1778065 2113669 3767330 3760067 3854368 4062122 4218049 4260051 4445133 4784664 4680578 4432285 4267107 4632828 4923387 5388726Nationals all services 94794 247055 330528 120599 447024 592345 591638 572654 613823 801719 805439 810665 915170 1259491 1498161 1434676 901647Large regionals all services N N 56995 70881 100478 100004 110976 133571 134852 58329 52390 37399 37516 76478 101418 121016 148692

InternationalCertificated all services ad 181605 474666 400971 760334 979769 997656 1043312 1114063 1186222 1225217 1281702 1263543 1221086 1261917 1403378 1535929 1594357Majors all services N N 330391 694479 809243 815701 853424 917108 1003727 1043730 1117709 1119126 1050808 1028158 1148209 1250037 1325504Nationals all services N N 66499 24301 108392 125951 145847 142658 127037 134370 127550 124765 141670 185397 197334 231735 216064Large regionals all services N N 2948 33893 46040 48867 32005 39516 51100 41440 30848 15409 25896 41241 49211 40654 36701Other certificated all services domestic and international d N N 23204 12120 88454 89811 58747 29942 28775 32674 25545 25264 220478 490693 367854 249326 201045

Total certificated d 1040056 2542264 2924346 4723602 5359697 5627048 5854760 6053499 6219366 6557393 6944145 6813205 6823823 7348566 7995015 8250831 8218378Aircraft revenue-hours 4

DomesticCertificated all services ad 3672900 5133161 6247795 9717375 10721577 11378503 11871886 12133348 12443855 13090460 13901641 13510998 13676524 15294961 16405347 16694269 16415836Majors all services 2802317 4066480 4941327 9053789 8864840 9023772 9512983 9898147 9957390 10349992 11308820 11028054 10328412 9862773 10758395 11519750 12709883Nationals all services 606146 908935 919187 458621 1362863 1832909 1934433 1828382 2002173 2515044 2403184 2305781 2407006 3383803 3917027 3761623 2373121Large regionals all services N N 267522 192944 273642 269811 298415 366439 422770 156201 137993 104522 99411 187758 252384 318276 381713

InternationalCertificated all services ad 608736 977325 819518 1556760 1978378 2021060 2113467 2235792 2381246 2456580 2595893 2565169 2487258 2593915 2881257 3155013 3281909Majors all services N N 668199 1410263 1607155 1619755 1699958 1819583 1992776 2071507 2229167 2240214 2105500 2067148 2317972 2541139 2692590Nationals all services N N 140329 50293 227077 262285 319919 303335 275180 281706 288953 282776 319353 417332 431858 492092 466897Large regionals all services N N 7583 75786 108717 122659 68418 82063 103813 88224 66058 33173 57086 91932 109372 87461 80143Other certificated all services domestic and international d N N 123411 32439 255661 268372 151227 71191 70999 84366 63359 81647 847014 1878130 1499596 1128941 993398

Total certificated d 4281636 6110486 7190724 11274135 12699955 13399563 13985353 14369140 14825101 15547040 16497534 16076167 16163782 17888876 19286604 19849282 19697745Revenue passenger-miles (thousands) 4

DomesticCertificated all services ad 31098944 108441978 204367599 345872950 388410210 403911656 434651687 452827860 462753505 488356869 515621596 486506043 481195481 505221674 557890670 583757943 590634648Majors all services 29430428 99903229 182984795 340628946 352063855 360719108 395099254 413060869 421217665 440442129 472284794 440413336 426401276 424165007 462025653 498200614 527266645Nationals all services 1170779 7642071 20466712 2655442 27508958 33696612 30396752 31989076 34070192 43371272 39560329 43541665 48687149 67906918 84458947 78505474 55504378Large regionals all services N N 711868 2285750 5915731 5646715 6366240 6860718 6000206 3205826 2731996 1747222 1748996 3595739 5915613 4850116 5754152

continued

Air Carrier Profile continued

Performance (continued) 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006International

Certificated all services ad 8950672 39695392 63354387 126362697 149107689 154882007 161512010 169356100 172179498 180269038 192797653 178343116 171998786 168601124 194173889 211359416 219471625Majors all services N N 54318160 121910801 133299897 137389923 145330811 153564956 157398986 166320739 181585899 169335392 163576484 156267732 179788447 195635675 206669607Nationals all services N N 8659592 3152239 12939400 15509364 14681127 13616245 12232424 11504031 7793324 7710903 6803586 8995296 11101736 14120367 12074172Large regionals all services N N 330288 988679 2484738 1685684 505337 760809 2261005 2034607 3218488 1185896 1540681 3211186 3200033 1528876 394327Other certificated all services domestic and international d N N 250571 613790 3305320 4146257 3784176 2331287 1752525 1747303 1244419 914745 4436095 9680920 5574130 2276237 2442992

Total certificated d 40049616 148137370 267972557 472235647 537517899 558793663 596163697 622183960 634933003 668625907 708419249 664849159 653194267 673822798 752064559 795117359 810106273Average passenger revenue passenger-mile 5

(Domestic scheduled service) 609 600 1149 1344 1325 1290 1381 1319 1355 1382 1392 1411 1397 (R) 1457 1326 1210 1251Average passenger fare 5

(Domestic scheduled service) 3001 4065 8460 10796 10682 10399 11037 10377 10714 11081 11331 11458 11510 (R) 12133 11168 10393 10843Revenue passenger enplanements (thousands) 4

DomesticCertificated all services ad 56352 153662 275182 428769 489357 506775 538397 553160 566377 589168 616397 574882 564552 596871 645674 674061 675212Majors all services 48678 122866 223237 411797 428329 432076 466743 482656 486902 502305 537377 496455 468938 453112 487525 523288 567108Nationals all services 5949 26726 47145 13374 46461 57670 58383 59690 67237 80995 75156 75600 81722 112715 132037 131142 87167Large regionals all services N N 3748 3190 8854 10127 9122 9665 10276 4234 2444 1383 1338 3542 6623 7930 9383

InternationalCertificated all services ad 5904 16620 26514 46121 51330 52863 54519 56759 57758 57694 60830 56641 56904 58837 67479 73090 75449Majors all services N N 23949 43871 42701 43590 46304 48615 49608 49769 53157 50097 50637 50202 57929 63203 67009Nationals all services N N 2343 964 6183 7235 7402 6887 6228 6274 5273 5664 5471 6868 6931 8309 7676Large regionals all services N N 149 825 2168 1790 405 631 1751 1322 2151 779 718 1600 2379 1290 364Other certificated all services domestic and international d N N 1125 871 5992 7150 4558 1776 2133 1964 1668 1546 12631 27669 19729 11989 11953

Total certificated d 62256 169922 302821 474891 540688 559638 592916 609919 624135 646863 677227 631522 621456 655708 713153 747151 750660Revenue passenger Load factor () (scheduled service) 4

DomesticCertificated ad 585 489 580 604 647 654 679 691 700 698 712 691 703 726 744 770 790Majors 595 493 581 605 650 658 685 696 704 702 716 693 706 729 748 777 794Nationals 419 436 584 494 636 618 620 631 651 664 665 670 682 725 736 744 772Large regionals N N 477 547 563 630 581 619 635 587 468 713 604 712 703 701 726

InternationalCertificated ad 622 530 628 691 706 718 733 741 728 744 760 728 766 765 791 795 799Majors N N 628 690 708 722 737 744 729 745 761 729 768 768 793 798 803Nationals N N 655 857 683 679 678 696 709 737 734 700 683 648 704 714 708Large regionals N N 739 639 462 531 N 572 460 00 580 670 591 704 776 00 643Other certificated all services

domestic and international d N N 467 568 576 525 628 593 496 476 488 522 614 601 589 514 529continued

Air Carrier Profile continued

Performance (continued) 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006US international passenger travel e6

Total passenger-arrivals (thousands)Flag of carrier

United States 1332 5531 10031 19145 23291 24582 25148 26744 27390 27462 29837 27985 26953 26557 29992 31657 33364Foreign 1234 4343 10231 17269 20527 22328 24704 27571 28791 30324 32380 28715 26912 27395 29591 29042 29587

Total passenger-departures (thousands)Flag of carrier

United States 1200 4949 9369 17628 21355 22231 22901 24302 24513 25457 27431 25483 23610 24070 27249 29668 31492Foreign 1136 4147 9886 16418 18993 20795 22884 25382 26350 28399 30068 27111 24996 25897 28682 28877 27985

Total revenue ton-miles (thousands) f 4

DomesticCertificated all services ad 3732949 13876802 24964907 43654400 50632739 52916214 56326750 58920010 60165036 63032298 66544502 61834963 62051071 65753373 72240509 74117030 74923193Majors all services 3332483 12589057 21427534 42027064 44952734 46142919 49892293 52478725 53424348 55599788 59095406 54883338 54411945 54251883 58514663 61959817 65627369Nationals all services 121157 850477 3336057 640398 3967715 4957793 5073195 5068024 5299740 6577361 6699944 6211281 6073565 8192062 11142320 10131320 7860786Large regionals all services N N 180042 944830 1256308 1353436 1048507 1231075 1161148 611809 628394 597407 684963 1584694 1193008 1136544 1200010

InternationalCertificated all services ad 1291336 6308701 9689067 19975913 24879793 26296958 28177722 30950867 31192066 32810134 35161434 32782793 33771616 35168498 40923680 44696422 45806946Majors all services N N 7377733 18348692 20681990 21456604 22705604 24971379 25794347 27764444 30683566 28459230 28020656 27099570 30614976 32690861 34565570Nationals all services N N 2261534 803083 2935386 3509127 4504772 4557048 4109500 3989939 3749703 3868703 5090922 7101794 8820202 9980412 9229784Large regionals all services N N 44438 704369 918447 1186218 668766 1038610 1211260 993874 621161 303700 636385 812738 1256237 1421590 1618112Other certificated all services domestic and international d N N 28178 161878 799950 607077 611336 526016 356761 305217 227762 294098 904251 1879129 1622782 1492908 628507

Total certificated d 5024285 20185503 34682153 63630313 75512531 79213173 84504472 89870877 91357103 95842432 101705936 94617756 95822687 100921870 113164189 118813452 120730139Revenue ton-miles of freight (thousands) g4

DomesticCertificated all services ad 552756 2708900 4528316 9067099 11802776 12524772 12860845 13640994 13886053 14201505 14982612 13172867 13931509 15231204 16451441 15741236 15859729Majors all services 321176 U 3129087 7964164 9746353 10071016 10382373 11172436 11302581 11555576 11866926 10834520 11771815 11835383 12312098 12139755 12900706Nationals all services 3850 U 1289510 374853 1227775 1588798 2033376 1869146 1889221 2240026 2743705 1856834 1205023 1401369 2696425 2280772 2310348Large regionals all services N N 108864 716256 664768 787828 411285 549046 561109 296660 356013 422682 510401 1225120 601447 651532 624594

InternationalCertificated all services ad 268156 1566105 3353371 7340033 9970191 10855442 12031635 14015255 13980493 14782230 15880424 14948684 16572205 18308387 21506293 23560482 23859784Majors all services N N 1945660 6157984 7352000 7717612 8172522 9614884 10054447 11132370 12524975 11525689 11663007 11472799 12636132 13127294 13898610Nationals all services N N 1395575 487873 1641444 2004875 3041774 3195422 2892634 2838536 2970370 3097665 4410564 6202264 7710029 8568375 8022366Large regionals all services N N 11409 605504 671144 1017649 618232 962529 985159 790413 298069 185111 482784 491619 936234 1268703 1578680Other certificated all services domestic and international d N N 3124 100498 469484 192437 232918 292786 181393 130155 102978 199051 460121 911037 1065369 1265286 384208

Total certificated d 820907 3755436 7884811 16407132 21772967 23380215 24892480 27656249 27866545 28983735 30863036 28121551 30503714 33539592 37957734 39301718 39719513continued

Air Carrier Profile continued

Safety 7 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Air carrier fatalitiesOperating under 14 CFR 121 (airlines)

Scheduled services N N 0 39 239 160 342 3 1 12 89 531 0 22 13 22 50Nonscheduled services N N 1 0 0 8 38 5 0 0 3 0 0 0 1 0 0

Operating under 14 CFR 135Scheduled services (commuters) N N 37 6 25 9 14 46 0 12 5 13 0 2 0 0 2Nonscheduled services (onndashdemand air taxis) N N 105 51 63 52 63 39 45 38 71 60 35 42 64 18 16

Total 499 146 143 96 327 229 457 93 46 62 168 604 35 66 78 40 68Air carrier accidentsOperating under 14 CFR 121 (airlines)

Scheduled services N N 15 21 18 30 31 43 41 40 49 41 35 51 (R) 24 (R) 34 25Nonscheduled services N N 4 3 5 6 6 6 9 11 7 5 6 3 (R) 6 (R) 6 6

Operating under 14 CFR 135Scheduled services (commuters) N N 38 15 10 12 11 16 8 13 12 7 7 2 4 6 3Nonscheduled services (onndashdemand air taxis) N N 171 107 85 75 90 82 77 74 80 72 60 (R) 73 66 66 54

Total 90 55 228 146 118 123 138 147 135 138 148 125 108 (R) 129 100 (R) 112 88Fatal air carrier accidentsOperating under 14 CFR 121 (airlines)

Scheduled services N N 0 6 4 2 3 3 1 2 3 6 0 2 1 3 2Nonscheduled services N N 1 0 0 1 2 1 0 0 0 0 0 0 1 0 0

Operating under 14 CFR 135Scheduled services (commuters) N N 8 3 3 2 1 5 0 5 1 2 0 1 0 0 1Nonscheduled services (onndashdemand air taxis) N N 46 29 26 24 29 15 17 12 22 18 18 18 (R) 23 11 10

Total 17 8 55 38 33 29 35 24 18 19 26 26 18 (R) 21 25 14 13

e Passenger travel totals do not include Canada because the source does not record departures and arrivals to and from Canada

a Some totals include data not in the table thus totals may not equal sum of table data

b Includes scheduled and nonscheduled (charter) operators By Sec 2 of the Airline Deregulation Act of 1978 charter air carrier and charter air transportation replaced supplemental air carriers and supplemental air transportation which were formerly Sec 101(36) and (37) of the Act The 24 pre-deregulation supplemental carriers now have scheduled service authority c Total includes only those carriers who have reported employment statistics to BTS Office of Airline Information Full-time equivalent employees count two part-time employees as one full-time equivalent employee Prior to 1980 there was no breakout for part-time employees so earlier numbers will overstate full-time equivalent employeesd Data does not include small-certificated and commuter carriers prior to 2002 Small-certificated and commuter carriers began reporting T1 data in January of 2002 for Alaskan carriers and in October of 2002 for the remainder of the US

KEY N = data do not exist R = revised U = data are not available

Air Carrier Profile continued

f Total Revenue Ton-Miles includes passenger freight express and mailg Total revenue ton-miles of freight includes freight express and mail

NOTES

Domestic encompasses operations within and between the 50 states of the United States the District of Columbia Puerto Rico and the Virgin Islands It also encompasses Canadian and Mexican transborder operations (US airlines only) All other operations are considered international Data in the Financial and Performance (excluding International Air Passengers) sectins was revised for 1990 to 2005 to be consistent with the online source as of Nov 2 2007

SOURCESUnless otherwise noted refer to chapter tables for sources

1 1960-1970 Civil Aeronautics Board Handbook of Airline Statistics 1969 and 1973 (Washington DC) pp 69 and 71 1980 Civil Aeronautics Board Air Carrier Financial Statistics December 1981 (Washington DC) pp 328 42 and 44 1990-2006 US Department of Transportation Bureau of Transportation Statistics Form 41 Air Carrier Financial Reports Schedules P11 and P12 available at httpwwwtranstatsbtsgovdatabasesaspMode_ID=1ampMode_Desc=AviationampSubject_ID2=0 as of Nov 2 20072 1960 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information httpwwwbtsgovoaiemployeesemploycovhtml as of Oct 14 2003 1970-2006 US Department of Transportation Bureau of Transportation Statistics Office of Airline Information httpwwwbtsgovprogramsairline_informationnumber_of_employeescertificated_carriers as of Nov 2 20073 Ibid personal communication Oct 17 2003 Sept 10 2004 Feb 1 2007 and Nov 2 20074 1960-1970 Civil Aeronautics Board Handbook of Airline Statistics 1969 and 1973 (Washington DC) Part III tables 2 4 7 and 13 1980 Civil Aeronautics Board Air Carrier Financial Statistics December 1981 (Washington DC) pp 2 5 46 and 86 1990-2006 US Department of Transportation Bureau of Transportation Statistics T1 US Air Carrier Traffic and Capacity Summary by Service Class available at httpwwwtranstatsbtsgovTablesaspDB_ID=130ampDB_Name=Air20Carrier20Summary20Data2028Form204120and20298C20Summary20Data29ampDB_Short_Name=Air20Carrier20Summary as of Nov 2 20075 See sources 1 and 4

6 1960-70 US Department of Justice Immigration and Naturalization Service Report of Passenger Travel Between the US and Foreign Countries 1960 1970 (Washington DC) 1980-2006 US Department of Transportation Research and Special Programs Administration US International Air Travel Statistics (Washington DC Annual issues) tables IIa and IId 2006 US Department of Commerce Office of Travel and Tourism Industries US International Air Travel Statistics7 National Transportation Safety Board Internet site httpwwwntsbgovaviationstatshtm as of November 2007 and personal communication

General Aviation Profile

FINANCIAL1 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Expenditures total ($ millions) 895 2035 8053 9907 9332 10379 11605 13797 16372 17553 21909 26499 U U U U U

Aircraft 202 339 2853 3398 3910 4260 5298 7174 9573 11262 14291 18524 U U U U UOperating costs 693 1696 5200 6509 5422 6119 6307 6623 6799 6291 7618 7975 U U U U U

INVENTORY2

Number of active aircraft by primary use total 76549 131743 211045 196800 173400 188100 187312 192414 204710 219464 217533 211446 211244 209708 219426 224352 221943Corporate N 6835 14860 10100 9400 9800 9286 10411 11250 10804 11003 10544 10810 10493 10212 10553 11054Business N 26900 49391 33100 26500 26200 28236 27716 32611 24543 25169 25525 24153 25042 24189 25524 24413Instructional N 10727 14862 18600 15000 14800 14261 14663 11375 16081 14883 14254 13203 12714 13099 13399 14316Personal N 65398 96222 112600 102500 109300 109619 115630 124347 147085 148192 144031 145996 146722 149700 151408 149026Aerial application N 5455 7294 6200 4300 5100 5361 4858 4550 4254 4294 3779 3971 3250 3202 3548 3430Aerial observation N N N 4900 5100 4700 3225 3311 3242 3240 5093 5039 4535 4223 4814 4663 4407External load N N N N 100 200 424 186 313 190 234 202 151 194 215 226 212Other worka N 2054 2813 1400 1200 1100 1118 679 1116 2363 1787 1528 1733 1726 930 732 729Air taxi air toursb N N N 5800 3800 4100 3963 4948 5190 4569 4019 4004 4157 2791 6550 7539 7814Sightseeingc N N N N 1300 900 889 677 679 832 881 918 641 862 1050 945 906Otherd N 8249 17045 4100 4200 6300 6718 5250 6010 1200 1952 1573 1895 1691 1835 1787 2100Public use N N N N N N 4206 4130 4029 4138 j N j N j N j N j N j N j N

PERFORMANCE

Number of flight hours by actual use total 3

(thousands) 13121 26030 36430 30763 24092 26612 26909 27713 28100 31231 29960 27017 27040 27329 28126 26982 26982Corporate N N 5332 2913 2486 3069 2898 2878 3213 3535 3341 2657 3275 3227 2849 3072 3072Business 5699 7204 8434 4417 3012 3335 3259 3006 3523 3602 3588 3579 3287 3377 3249 3244 3244Instructional 1828 6791 5748 7244 4156 4410 4759 4956 3961 5795 5050 4307 4182 4393 4035 3635 3635Personal 3172 6896 8894 9276 8248 9659 9037 9644 9781 11072 11477 11266 11025 11251 10239 9266 9266Aerial application N N 2044 1872 1364 1526 1713 1562 1306 1408 1318 1038 1182 1099 1142 1031 1031Aerial observation N N N 1745 1746 1391 1057 1261 812 1244 1545 1442 1366 1262 1457 1265 1265External load N N N N 135 128 191 112 153 123 161 131 97 103 125 134 134Other worka N N 1053 572 241 280 265 139 286 605 496 256 369 414 264 176 176Air taxi air toursb N N N 2249 1545 1527 1834 2122 2583 1985 2122 1587 1495 1332 2764 3210 3210Sightseeingc N N N N 309 179 195 127 169 218 197 183 134 175 204 191 191Otherd 2422 5139 4925 475 622 1107 656 819 940 535 665 664 628 697 617 753 753Public usee N N N N N N 1047 1096 1373 1109 j N j N j N j N j N j N j N

Vehicle-miles (millions)f1 1769 3207 5204 4548 3358 3795 3524 3877 U U U U U U U U UPassenger-miles (millions)f1 2300 9100 14700 13000 9800 10800 12000 12500 13100 14100 15200 15900 U U U U UFuel consumed total (million gallons) f 5 242 759 1286 1016 731 847 896 934 1126 1313 1305 (R) 1198 (R) 1215 (R) 1205 (R) 1504 (R) 1511 (E) 1551Aviation gasoline 242 551 520 353 266 287 289 292 311 345 333 (R) 279 (R) 277 (R) 272 (R) 273 (R) 255 (E) 262Jet fuel N 208 766 663 464 560 608 642 815 967 972 (R) 918 (R) 938 (R) 932 (R) 1231 (R) 1255 (E) 1289

SAFETYFatalities totalg6 787 1310 1239 770 730 735 636 631 625 619 596 562 581 632 558 (R) 563 696

Corporate N 28 66 21 6 15 20 3 0 30 13 12 5 5 10 8 3Business N 148 126 80 64 73 44 45 42 55 43 50 39 33 45 14 37Instructional N 93 73 62 47 44 40 38 38 38 64 40 42 71 31 (R) 45 47Personal N 726 808 492 472 488 413 432 432 383 386 376 407 444 369 (R) 415 369Aerial application N 41 32 17 17 15 10 17 6 14 19 14 14 6 10 14 8Other N 174 134 95 138 112 119 106 112 105 87 73 77 84 95 72 234

Accidents total7 4793 4712 3590 2242 2021 2056 1908 1844 1905 1905 1837 1727 1715 (R) 1740 (R) 1619 1669 1484Fatal 429 641 618 444 404 413 361 350 365 340 345 325 345 352 314 321 301

Accident rate (per 100000 flight hours) hi 365 181 99 (R) 73 (R) 84 77 71 67 68 61 61 64 63 (R) 64 (R) 58 (R) 62 55Fatal 33 25 17 (R) 14 (R) 17 16 13 13 13 11 12 12 13 13 11 (R) 12 11

KEY N = data do not exist R = revised U = data are not available E = estimated by source

a In 1960 1970 1980 classified as Industrialb Includes air tours done under 14 CFR 135 air taxi operators and commercial operatorsc Includes sightseeing done under 14 CFR 91 general operating and flight rulesd Significant decrease in Other can be attributed to a redefining of the category to only include Aerial Other and Medical Usee Federal state or local government-owned or leased aircraft used for the purpose of fulfilling a government positionf Includes air taxi operations Nautical miles in source multiplied by 1151 to convert from nautical milesg Sum of fatalities does not necessarily equal total due to aircraft involved in midair and on-ground collisionsh Suicidesabotage cases are included in accidents and fatalities data but are excluded from accident ratesi Accident rates are calculated by BTS using the formula Accident Rates (per 100000 flight hours) = Accidents or FatalitiesFlight Hours (thousands)100j Beginning in 2000 Public Use was included in Other Work

NOTESNumbers may not add to totals due to rounding Total fatalities in this profile may not match those in table 2-14 due to when the total fatalities data were received and the data breakdown by type of flying NTSB constantly updates and reclassifies accident and fatality data1994-95 data for active aircraft by use and flight hours have been revised to reflect changes in adjustment for nonresponse bias with 1996 telephone survey factors 1996 vehicle-miles and fuel consumption data are estimated using new information on nonrespondents and are not comparable to earlier years

SOURCESUnless otherwise noted refer to chapter tables for sources1 1960-2001 Eno Transportation Foundation Inc Transportation in America Annual Issues (Washington DC) pp 40 and 45 and similar tables in earlier editions2 US Department of Transportation Federal Aviation Administration General Aviation and Air Taxi Activity and Avionics Survey (Washington DC 1990-2004 issues) table 113 Ibid table 14 and similar tables in earlier editions4 Ibid table 33 and similar tables in earlier editions5 1960-1990 US Department of Transportation Federal Aviation Administration General Aviation and Air Taxi Acitivity and Avionics Survey (Washington DC 1990-2000 issues) table 51 1994-2006 Ibid FAA Aerospace Forecasts (Washington DC Annual issues) table 30 and similar tables in earlier editions6 1960-1970 National Transportation Safety Board RE-50 personal communication 1980-2002 Ibid Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1998 (Washington DC July 2000) charts 27 39 40 41 42 and 43 and personal communications on Sept 10 2002 Dec 22 2003 April 30 2004 Mar 24 2005 Nov 7 2006 and Oct 30 20077 1960-80 National Transportation Safety Board RE-50 personal communication Annual Review of Aircraft Accident Data US General Aviation Calendar Year 1998 (Washington DC July 2000) available at Internet site httpwwwntsbgovaviation as of July 22 2004 table 10 1990-2006 Ibid Aviation Accident Statistics table 10 Internet site httpwwwntsbgovaviationStatshtm as of Oct 30 2007

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Government receipts total ($ millions)1 11193 21763 39834 75444 91312 96347 102771 107421 111581 121650 131115 132324 134765 138384 145315 154690 165443Federal total 2771 6160 9949 14576 17854 19851 23196 21648 24509 26008 30819 27670 28527 29875 30911 33070 34171

Highway trust funda 2531 5464 7615 13380 16582 18835 22036 20500 23396 25085 29445 26365 26808 27755 28576 31194 32333Other 240 696 2334 1196 1272 1016 1160 1148 1113 923 1374 1305 1719 2120 2335 1876 1838

State and local total 8422 15603 29885 60868 73458 76496 79575 85773 87072 95642 100296 104654 106238 108509 114404 121620 131272State and DC 6055 11737 19666 40026 47699 50064 52808 58087 58806 63274 66434 68873 68430 67792 72860 77725 83685Local 2367 3866 10219 20842 25759 26432 26767 27686 28266 32368 33862 35781 37808 40717 41544 43895 47587

Government expenditures total ($ millions)1 10757 20829 41763 75408 90192 93478 98082 101953 107975 116011 122697 129900 135919 (R) 143807 147489 152699 161061Federal total 197 425 874 664 1306 1402 1598 1315 1375 1428 1680 1913 1761 (R) 2383 3470 1902 2191

Highway trust funda 27 83 315 358 965 1092 1384 1103 1170 1249 1304 1463 1261 (R) 1685 2436 758 1236Otherb 170 342 559 306 341 310 214 212 205 179 376 450 500 698 1034 1144 955

State and local total 10560 20404 40889 74744 88886 92076 96484 100638 106600 114583 121017 127987 134158 141424 144019 150797 158870State and DC 7125 14100 25936 45609 55569 56981 59709 61534 65507 71415 76997 81803 85653 88377 88026 94484 100090Local 3435 6304 14953 29135 33317 35095 36775 39104 41093 43168 44020 46184 48505 53047 55993 56313 58780

State highway user tax revenues c total ($ millions) 5323 10284 17178 35944 46437 47424 49756 51381 54507 56269 57144 58508 58299 59642 62830 64801 67519Motor fuel tax2 3374 6433 9485 19658 25860 26881 27555 28477 29803 30753 31981 32519 33046 34016 35272 35831 36632Other motor fuel receiptsd 2 22 44 92 220 101 108 63 55 58 134 179 298 297 277 194 202 952Motor vehicle registration fees 3 1514 2873 5173 10257 12388 11942 13234 13631 14552 14882 13704 14437 13316 13606 14443 15377 16117Other motor vehicle feese 3 235 577 1490 3353 4505 4416 4689 4704 5068 5350 5696 5764 6077 5885 6373 6451 6769Motor carrier taxesf 3 110 176 323 695 875 770 726 729 861 740 784 753 703 709 730 786 811Miscellaneous fees3 68 181 615 1761 2708 3307 3489 3785 4165 4410 4800 4737 4860 5149 5819 6154 6239

INVENTORY Rural urban mileage by ownership total4 3545693 3730082 3859837 3866926 3906595 3912226 3919652 3944601 3906304 3917245 3936241 3948335 3966494 3974103 3981521 3995644 4016734Rural mileage total 3116125 3169412 3230936 3122282 3092810 3092520 3092887 3108493 3064650 3071181 3084000 3071332 3071768 3033133 3000247 2985804 2987371

Under state control 658896 707002 750479 702486 690372 690924 691156 692767 660834 660682 661798 663134 662855 652522 648555 636339 635114Under federal control g 111912 187696 246130 178188 173650 170568 168938 167369 118369 116846 116698 119270 117751 120208 117740 123413 123370Under local control 2345317 2274714 2234327 2241608 2228788 2231029 2232793 2248357 2285447 2293653 2305504 2288928 2291162 2260403 2233952 2226052 2228887

County roads 1742404 1732981 1542984 1616634 1624982 1626927 1627639 1642468 1647025 1649291 1656906 1637616 1628510 1623786 1608094 1598718 1605540Town township and municipal roads h 538651 510174 458231 437460 423908 424529 426170 426433 426340 590206 592623 595197 606398 580825 573871 575569 571922Other local roadsh 64262 31559 233112 187514 179898 179573 178984 179456 212082 54156 55975 56115 56254 55792 51987 51765 51425

Urban mileage total 429568 560670 628901 744644 813785 819706 826765 836108 841654 846064 852241 877003 894726 940970 981274 1009840 1029363Under state control 50158 74103 97287 95778 109947 111766 111924 112226 110017 109956 110195 109136 110434 120033 126132 140913 143960Under federal control g N N 1495 1024 1484 1509 1470 1464 1485 1503 1484 2234 2819 3560 3561 3783 4979Under local control N N 530119 647842 702354 706431 713371 722418 730152 734605 740562 765633 781473 817377 851581 865144 880424

County roads N N 71357 95929 115388 117518 117181 117487 117016 117105 116918 144065 144615 156598 175601 182696 185582Town and township roads h N N 37583 42752 74630 60561 60926 74402 75195 605255 611473 608859 624163 647448 662366 668337 680424Other local roadsh 379410 486567 421179 509161 512336 528352 535264 530529 537941 12245 12171 12709 12695 13331 13614 14111 14418

Rural urban mileage by functional system total5 3545693 3730082 3859837 3866926 3906595 3912226 3919652 (R) 3944597 (R) 3906292 3917240 (R) 3936222 3948335 3966485 3974107 3981512 3995635 4016741Rural mileage total 3116125 3169412 3230936 3122282 3092810 3092520 3092887 (R) 3108488 (R) 3064649 3071181 (R) 3083979 3071331 3071761 3033138 3000236 2985796 2987375

Interstate N N 31905 33547 32457 32580 32820 (R) 32819 (R) 32808 32974 33048 33061 32992 32048 31443 30905 30586Other principal arterial N N 82569 83802 97175 97948 98131 98257 (R) 98858 98856 (R) 98919 99185 98853 97038 95946 95156 94937Minor arterial N N 149057 144774 138120 137151 137359 (R) 137498 137308 137463 (R) 137575 137587 137568 135596 135449 135408 135386Major collector N N 439000 436352 431115 431712 432117 (R) 432728 432408 432954 433121 433284 430946 424288 420046 419999 419117Minor collector N N 299613 293922 282011 274081 273198 (R) 272350 272140 271690 (R) 271803 271377 270700 267524 267842 264387 262841Local N N 2228792 2129885 2111932 2119048 2119262 (R) 2134836 2091127 2097244 (R) 2109513 2096837 2100702 2076644 2049510 2039941 2044508

Urban mileage total 429568 560670 628901 744644 813785 819706 826765 (R) 836109 (R) 841643 846059 (R) 852243 877004 894724 940969 981276 1009839 1029366Interstate N N 9215 11527 13126 13164 13217 (R) 13249 (R) 13276 13343 13379 13406 13491 14460 15129 15703 16044Other freeways and expressways N N 6774 7668 8994 8970 9027 (R) 9062 (R) 9163 9125 9140 9126 9323 9870 10246 10560 10748Other principal arterial N N 44155 51968 53110 52796 52983 (R) 53230 53132 53206 (R) 53314 53056 53439 56870 59695 61803 62830Minor arterial N N 66377 74659 87857 88510 89020 (R) 89196 89496 89399 89789 89962 90411 93888 97433 101673 102975Collector N N 68387 78254 86089 87331 87790 (R) 88042 88071 88008 88200 88713 89247 97114 102150 106109 108833Local N N 433993 520568 564609 568935 574728 (R) 583330 (R) 588505 592978 598421 622741 638813 668767 696623 713991 727936

US roads and streets by surface 6

Paved mileage total 1230469 1658421 2072692 2254822 2342179 2378268 2380650 2409935 2420344 2451426 (R) 2501716 (R) 2523479 2577693 2612069 2577963 2601490 2629638Rural 919082 1188080 1490050 1550283 1561649 1591334 1582166 1605804 1612251 1641877 (R) 1682140 (R) 1678795 1714714 1702175 1629423 1625390 1637819Urban 311387 470341 582642 704539 780530 786934 798484 804131 808093 809549 (R) 819576 (R) 844684 862979 909894 948540 976100 991819

Percent paved 347 445 537 583 600 608 605 609 613 624 633 637 648 655 645 649 652Unpaved mileage total 2315224 2071661 1787145 1612104 1564416 1533958 1553537 1548349 1528549 1478977 (R) 1448319 (R) 1438723 1402995 1376283 1417527 1408757 1401791

Rural 2197043 1981332 1740886 1571999 1531161 1501186 1518310 1510330 1490488 1436969 (R) 1409279 (R) 1400129 1364900 1333969 1373622 1363383 1352456Urban 118181 90329 46259 40105 33255 32772 35227 38019 38061 42008 39040 (R) 38594 38095 42314 43905 45374 49335

Percent unpaved 653 555 463 417 400 392 395 391 387 376 367 363 352 345 355 351 348Number of employeesState and local govt streets and highways 7 532000 607000 559000 569000 544233 543143 U 548486 530097 542612 546215 551706 545249 (R) 545617 542642 546220 545089Highway street and bridge construction i8 U U U U 274000 278100 287500 294200 308000 336300 340100 345800 345900 340100 347000 (R) 350800 348300PERFORMANCEVehicle-miles of travel by functional system (millions) total j 9 718762 1109724 1527295 2144362 2357588 2422696 2484080 2552233 2628148 2690241 2746925 2781462 2855756 2890893 2962513 2989807 3014116Rural mileage total 400463 539472 672030 868878 908341 933289 960194 999277 1032528 1062623 1083152 1105083 1128160 1085385 1070248 1037937 1037069

Interstate 10514 79516 135084 200173 215568 223382 232565 240255 251520 260166 268180 274024 279962 269945 266996 258790 257913Other principal arterial N N 132958 175133 207569 215567 221403 228716 237704 244045 248725 253056 257587 245345 241046 233999 231865Minor arterial N N 129816 155733 149760 153028 157444 163341 165780 169275 171874 173889 176218 171251 168898 164933 162634Major collector N N 150186 190512 182000 186212 190923 201790 203580 206831 209659 211312 213503 203368 200792 193288 193287Minor collector N N 39282 49948 48529 49936 50107 52310 54288 57622 57572 59650 61504 60294 60139 58299 58088Local N N 84704 97379 104915 105164 107752 112865 119656 124684 127142 133152 139386 135182 132377 128628 133282

Urban mileage total 318299 570252 855265 1275484 1449247 1489407 1523886 1552956 1595620 1627618 1663773 1676379 1727596 1805508 1892265 1951870 1977047Interstate 13365 81532 161242 278901 330577 341515 351579 361433 374622 383259 393465 399890 408618 432633 454385 469070 477283Other freeways and expressways N N 79690 127465 147534 151509 157502 159572 165632 171515 177222 182758 189634 199520 (R) 207929 213727 217067Other principal arterial N N 229469 335543 364200 370365 377776 385123 388071 392688 398772 401037 408336 425622 450142 463100 466949Minor arterial N N 175030 236225 286165 293228 299345 301932 309293 313950 324398 329931 339387 348794 362018 371392 376082Collector N N 83043 106297 120088 126883 129310 130146 131905 131603 135372 137922 141874 153751 162108 168038 173210Local N N 126791 191053 200683 205907 208374 214750 226097 234603 234544 224841 239747 245188 255683 266543 266456

Highway demand for petroleum total (thousand barrels) 1488095 2361310 2882143 3289554 3530071 3602159 3669491 3765003 3889758 4042708 4062573 4081742 4203095 4233039 4328176 (R) 4360995 4355057Motor fuel10 1378095 2198310 2737143 3113214 3353320 3424616 3492285 3580620 3699500 3843128 3870337 3892341 4016243 4049263 4131695 (R) 4161592 4165008Asphalt and road oil 11 110000 163000 145000 176340 176751 177543 177206 184383 190258 199580 192236 189401 186852 183776 196481 (R) 199403 190049

SAFETY12

Fatalities 36399 52627 51091 44599 40716 41817 42065 42013 41501 41717 41945 42196 43005 42884 42836 (R) 43510 42642Injured persons N N N 3231000 3266000 3465000 3483000 3348000 3192000 3236000 3189000 3033000 2926000 2889000 2788000 2699000 2575000Crashes N N N 6471000 6496000 6699000 6770000 6624000 6335000 6279000 6394000 6323000 6316000 6328000 6181000 6159000 5973000

Highway Profile

KEY N = data do not exist R = revised U = data are not available

12 1960-80 US Department of Transportation National Highway Traffic Safety Administration National Center for Statistics and Analysis NRD-30 personal communication1990-2006 Ibid Traffic Safety Facts (Washington DC Annual issues) tables 1 and 4

10 1960-90 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A (total fuel consumed in thousands of gallons divided by 42)

1994-2006 Ibid Highway Statistics (Washington DC Annual issues) table VM-1 (total fuel consumed in thousands of gallons divided by 42)11 1960-80 US Department of Energy Energy Information Administration State Energy Data Report (Washington DC July 1982) p 13

1990-2006 US Department of Energy Energy Information Administration Petroleum Supply Annual Volume 1 (Washington DC Annual issues) table 1

1996-2006 Ibid Highway Statistics (Washington DC Annual issues) table HM-127 1960-90 US Department of Commerce US Census Bureau Statistical Abstract of the United States (Washington DC Annual issues) State and Local Government Section

9 1960-70 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1985 FHWA-PL-97-009 (Washington DC April 1987) table VM-2011980-2006 Ibid Highway Statistics (Washington DC Annual issues) tables VM-2 and VM-2A

2 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MF-201 1996-2006 Ibid Highway Statistics (Washington DC Annual isssues) table MF-1

1996-2006 Ibid Highway Statistics (Washington DC Annual issues) table HM-206 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table HM-212

SOURCESUnless otherwise noted please refer to chapter tables for sources1 1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table HF-210 1995-2006 Ibid Highway Statistics (Washington DC Annual issues) tables HF-10A and HF-10

NOTES

Total system mileage may differ when categorized by ownership and functional system due to rounding at different levels of aggregation Additionally total system mileage categorized by surface type is based on sampling and is not comparable to the totals based on the other categorizations

Motor vehicle injury and crash data in this profile come from the National Highway Traffic Safety Administrations General Estimates System (GES) The data fromGES which began operation in 1988 are obtained from a nationally representative probability sample selected from all police-reported crashes and the GES sample includes only crashes where a police accident report was completed and the crash resulted in property damage injury or death The resulting figures do not take into account crashes which were not reported to the police or which did not result in at least property damage

In 1998 FHWA instituted a new method of creating mileage based tables derived from the Highway Performance Monitoring System (HPMS) See Chapter 1 accuracy profiles for more information about the HPMS

g Mileage in federal parks forests and reservations that are not a part of the state and local highway system h Prior to 1999 mileage for municipal roads is included with the other local roads jurisdiction Mileage for municipal roads is included in Town Township and Municipal Road jurisdiction after 1999i Data for years 1994 and later are based on the North American Industry Classification System (NAICS) Prior to 1994 data are based on the Standard Industrial Classification System (SIC) j Highway category classifications changed several times before 1980 Actual 1960 data categories were Main Rural Roads Local Rural Roads and Urban Streets 1970 data categories were Rural Interstate Rural Other Arterial Other Rural Urban Interstate and Other Urban

a The Federal Highway Trust Fund was created with the enactment of the Highway Revenue Act of 1956 The total receipts shown for 1995 are overstated by approximately $159 billion due to a fiscal year (FY) 1994 error by the Treasury Department in reconciling estimated deposits to the actual tax revenue The correction was made after the close of FY1994 and is shown in FY1995 receiptsb Figures obtained by additionsubtraction and may not appear directly in data source

c Gross amounts collected by state governments from highway users Does not include tolls Not all revenues are allocated to highway expendituresd Includes distributor and dealer licenses inspection fees fines and penalties and miscellaneous receiptse Includes driver licenses title fees special title taxes fines and penalties estimated service charges and local collections

f Includes carrier gross receipt taxes mileage ton-mile and passenger-mile taxes special license fees and franchise taxes and certificate or permit fees

Earlier editions of NTS particularly the 1993 Historical Compendium used crash and injury figures estimated by the National Safety Council which employed a different set of methods to arrive at its figures Thus the injury and crash figures in this edition of NTS may not be comparable with those found in earlier editions

1994-2006 US Department of Commerce US Census Bureau State and Local Government Employment and Payroll Data (Washington DC Annual issues) Internet site httpwwwcensusgovgovswwwapesstlhtml as of Apr 15 20088 US Department of Labor Bureau of Labor Statistics Internet site httpwwwblsgovdatasahtm as of Apr 15 2008

3 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table MV-2021996-2006 Ibid Highway Statistics (Washington DC Annual issues) table MV-24 1960-70 Highway Statistics Summary to 1985 (Washington DC July 1997) table M-2031980-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table HM-2101996-2006 Ibid Highway Statistics (Washington DC Annual issues) table HM-105 1960-95 Ibid Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) tables HM-212 and HM-220

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Personal auto expenditures totala ($ millions) (R) 39886 (R) 73390 (R) 209563 (R) 377492 (R) 442346 (R) 462166 (R) 494691 (R) 519828 (R) 529047 (R) 573429 (R) 628952 (R) 631527 (R) 622369 (R) 646756 (R) 695320 772607 828900

New and used carsa1 16600 26700 57200 119000 133200 132600 136000 139400 147300 158400 164300 162900 162100 152000 152600 161600 165100Tires tubes accessories and parts1 2500 6100 17900 29900 36000 37800 40300 41900 43900 47000 49000 49100 50300 52000 54400 57900 59800Gasoline and oil1 12000 21900 86700 111200 116200 120200 130400 134400 122400 137900 175700 171600 164500 192700 230400 280700 318600Tolls1 300 700 1100 2300 3400 3700 4000 4400 4400 4800 5100 5100 5300 5500 5700 6500 6900Insurance premiums less claims paid1 2000 3800 9400 23500 32800 34500 36700 37800 40400 43200 43000 44600 45800 49200 53700 57800 60100Repair greasing washing parking storage rental and leasing1 5500 12300 34000 84900 112500 125500 138700 152900 161100 172600 183500 189100 186000 186800 189500 198400 208400Auto registration fees2 867 1668 2893 6054 7423 7043 7698 8163 8630 8625 7607 8278 7415 7478 7826 8484 8774Drivers license fees2 119 222 370 638 823 823 893 865 917 904 745 849 954 1078 1194 1223 1226

Taxi expenditures ($ millions)1 600 1200 1900 2600 2800 3000 3200 3300 3500 3300 3100 3200 3300 3500 3600 3900 4200INVENTORYNumber of vehicle registrationsPassenger car3 61671390 89243557 121600843 133700496 127883469 128386775 129728341 129748704 131838538 132432044 133621420 137633467 135920677 135669897 136430651 136568083 135399945Other 2-axle 4-tire vehicle3 e 14210591 27875934 48274555 62903589 65738322 68933798 70224082 71330205 75356376 79084979 84187636 85011305 87186663 91845327 95336839 99124775Motorcycle4 574032 2824098 5693940 4259462 3756555 3897191 3871237 3826373 3879450 4152433 4346068 4903056 5004156 5370035 5767934 6227146 6686147Motor vehicle licensed drivers5 87252563 111542787 145295036 167015250 175403465 176628482 179539340 182709204 184860969 187170420 190625023 191275719 194295633 196165667 198888912 200665267 202810438Number of employees6 (based on SIC)Taxicabs 120700 106400 52500 32400 30800 30700 30500 30600 31200 31600 31900 31800 30800 N N N NAutomotive dealers and service stations 1267200 1617400 1688500 2063100 2116200 2189600 2266700 2310800 2332300 2368100 2409600 2424800 2432200 N N N NMotor vehicles parts and supplies N N 434300 456000 471400 492100 502800 513000 516600 523700 516800 502100 498000 N N N NAuto repair services and parking N N 570900 913700 968300 1020100 1080000 1119600 1145200 1196400 1234200 1257200 1263200 N N N NNumber of employees7 (based on NAICS)Taxi service N N N 33600 31600 31600 31400 31600 32300 32700 33100 33100 31800 31400 30600 30300 30600Wholesale motor vehicles and parts N N N 309400 319900 334600 342500 350200 353600 359500 355700 347300 345600 342100 340700 344200 349200Retail motor vehicle and parts dealers N N N 1494400 1564700 1627100 1685600 1723400 1740900 1796600 1846900 1854600 1879400 1882900 1902300 1918600 1907900Gasoline stations N N N 910200 902300 922300 946400 956200 961300 943500 935700 925300 895900 882000 875600 871100 861000Parking lots and garages N N N 67600 71100 74800 78400 81800 84700 88900 92800 95500 95900 99600 101800 103400 104800Automotive repair and maintenance N N N 659400 701300 737900 781400 810500 828300 864200 888100 903900 899600 894200 890600 886100 887400PERFORMANCE Vehicle-miles total (millions) 587012 1042965 1412745 1992394 2276276 2238120 2294703 2363376 2428135 2480706 2533815 2581178 2634060 2665750 2737176 2759926 2784085Passenger car totala 8 (c) 587012 (c) 919679 (c) 1121810 (c) 1417823 1501402 1438294 1468854 1502556 1549577 1569100 1600287 1628332 1658474 1672079 1699890 1708421 1682671

Rural highway total (c) 313623 (c) 424088 (c) 450659 (c) 547910 526764 523834 535951 551080 574979 584765 593391 604677 608939 580059 564509 543179 535670Rural interstate N (c) 62342 (c) 89488 (c) 117519 119535 114933 119268 120045 127335 130856 134466 135966 138819 132101 129415 122789 122337Rural other arterial (c) 233452 (c) 182213 (c) 180857 (c) 211066 212418 210553 216074 220180 228847 231117 234743 236337 238009 225437 217495 210331 206708Other rural roads (c) 80171 (c) 179533 (c) 180314 (c) 219325 194810 198348 200609 210855 218797 222792 224182 232374 232111 222522 217599 210059 206625

Urban highway totalb (c) 273389 (c) 495591 (c) 671151 (c) 869912 974638 914460 932903 951476 974598 984335 1006896 1023655 1049535 1092020 1135381 1165242 1147001Urban interstate N (c) 69369 (c) 124480 (c) 184783 217174 204035 210302 214016 220487 224132 230510 236983 243521 251904 258666 266834 267336Other urban N (c) 426222 (c) 546671 (c) 685129 757465 710425 722601 737460 754111 760203 776386 786672 806014 840117 876715 898408 879665

Other 2-axle 4-tire vehicle total9 e 123286 290935 574571 764634 790029 815936 850739 868275 901022 923059 943207 966034 984094 1027164 1041051 1089013Rural highway total e 73591 149560 227831 285325 295472 306891 327316 334806 351658 360355 374736 384185 372891 374515 361562 372940

Rural interstate e 6766 19952 46298 60849 63329 65779 69030 72343 76190 79088 82356 85132 82513 83181 80173 81830Rural other arterial e 29808 56137 87474 113595 118305 122211 129890 132043 138475 141257 146525 150758 148100 148802 143976 145566Other rural roads e 37017 73471 94059 110881 113838 118901 128396 130420 136993 140010 145855 148295 142278 142532 137413 145544

Urban highway totalb e 49695 141375 346739 479308 494557 509045 523423 533469 549364 562704 568471 581849 611203 652649 679490 716073Urban interstate e 6252 23067 71500 105317 109807 112908 116680 121700 124399 128291 127989 130174 142472 155714 160470 166637Other urban e 43443 118308 275239 373991 384750 396136 406743 411769 424965 434413 440482 451675 468731 496935 519020 549436

Motorcycle totala 8 f f f f 10240 9797 9913 10081 10283 10584 10469 9639 9552 9577 10122 10454 12401Rural highway total f f f f 4402 4098 4070 4147 4279 4448 4507 4383 4445 4289 4381 4335 4750

Rural interstate f f f f 1279 1058 1056 1050 1112 1100 1164 1121 1212 1279 1354 1356 1425Rural other arterial f f f f 1698 1510 1500 1552 1588 1662 1680 1649 1623 1472 1435 1413 1628Other rural roads f f f f 1425 1530 1513 1545 1579 1686 1663 1613 1610 1538 1593 1566 1696

Urban highway totalb f f f f 5838 5699 5843 5934 6004 6136 5962 5256 5107 5288 5741 6120 7652Urban interstate f f f f 1420 1454 1516 1509 1579 1690 1692 1546 1670 1962 2089 2270 2509Other urban f f f f 4418 4245 4327 4425 4425 4446 4270 3710 3437 3326 3652 3849 5143

Automobile Profile

Passenger-miles total (millions)3 1145000 1979787 2545020 3037244 3623364 3553810 3643719 3752829 3855696 3939137 4023637 4247094 4307312 4360151 4479453 2699305 2658621Passenger cars (ac) 1145000 (ac) 1754174 (ac) 2024246 (c) 2140913 (c) 2600050 2286887 2335478 2389065 2463828 2494870 2544457 2556481 2620389 2641885 2685827 2699305 2658621Other 2-axle 4-tire vehicle e 225613 520774 896331 1012050 1256146 1297337 1352675 1380557 1432625 1467664 1678853 1674792 1706103 1780771 1804848 1887997Motorcycle f f f f 11264 10777 10904 11089 11311 11642 11516 11760 12131 12163 12855 13277 15750

Average miles traveled per vehicle3

Passenger car (c) 9518 (c) 9989 (c) 8813 (c) 10277 (c) 10759 11203 11323 11581 11754 11848 11976 11831 12202 12325 12460 12510 12427Other 2-axle 4-tire vehicle e 8676 10437 11902 12156 12018 11837 12115 12173 11957 11672 11204 11364 11287 11184 10920 10986Motorcycle f f f f 2726 2514 2561 2635 2651 2549 2409 1966 1909 1783 1755 1679 1855Fuel consumed (million gallons)3

Passenger cars (c) 41171 (c) 67879 (c) 70186 (c) 69759 (c) 68079 68072 68897 69892 71695 73283 73065 73559 75471 75455 75402 77418 74983Other 2-axle 4-tire vehicle e 12313 23796 35611 44112 45605 47133 49388 50462 52859 52939 53522 55220 60758 63417 58869 60662Motorcycle f f f f 205 196 198 202 206 212 209 193 191 192 202 189 221Average fuel consumption per vehicle (gallons)3

Passenger cars (c) 668 (c) 737 (c) 551 (c) 506 (c) 517 530 531 539 544 553 547 534 555 556 553 567 554Other 2-axle 4-tire vehicle e 866 854 738 701 694 684 703 707 701 669 636 650 697 690 617 612Motorcycle f f f f 55 50 51 53 53 51 48 39 38 36 35 30 33Average miles traveled per gallon of fuel consumed3

Passenger cars (c) 14 (c) 14 (c) 160 (c) 203 (c) 21 211 213 215 216 214 219 221 220 222 225 22 22Other 2-axle 4-tire vehicle e 100 122 161 173 173 173 172 172 170 174 176 175 162 162 18 18Motorcycle f f f f 50 50 50 50 50 50 50 50 50 50 50 55 56SAFETY10

Number of occupants and nonoccupant fatalitiesPassenger car N N 27449 24092 21997 22423 22505 22199 21194 20862 20699 20320 20569 19725 19192 18512 17800Light Truck N N 7486 8601 8904 9568 9932 10249 10705 11265 11526 11723 12274 12546 12674 13037 12721Motorcycle 790 2280 5144 3244 2320 2227 2161 2116 2294 2483 2897 3197 3270 3714 4028 4576 4810Bicycled 490 760 965 859 802 833 765 814 760 754 693 732 665 629 727 786 773Pedestriand 7210 8950 8070 6482 5489 5584 5449 5321 5228 4939 4763 4901 4851 4774 4675 4892 4784Occupant fatality ratesPer 100 million vehicle-milesg

Passenger car 47 38 25 17 15 15 15 15 14 13 13 13 13 12 12 12 11Light Truck N N 25 16 13 13 13 12 12 13 12 12 12 12 12 12 11Motorcycle N 765 504 339 227 227 218 210 223 235 277 332 342 388 398 438 388

Per 10000 registered vehiclesPassenger car 51 39 26 20 18 18 18 18 17 16 16 16 16 15 14 14 13Light Truck N N 25 17 15 15 15 15 15 15 15 15 15 15 14 14 13Motorcycle 138 81 90 76 62 57 56 55 59 60 67 65 65 69 70 73 72

Fatal CrashesTotal Fatal Crashes U U U 39836 36254 37241 37494 37324 37107 37140 37526 37862 38491 38477 38444 39252 38588Number of vehicles involved in fatal crashes

Passenger car U U 39059 34085 30273 30940 30727 30059 29040 28027 27802 27586 27374 26562 25682 25169 24087Light Truck U U 12680 15620 16353 17587 18246 18628 19363 19959 20498 20831 21668 22299 22486 22964 22290Motorcycles U U 5194 3276 2339 2268 2176 2160 2334 2532 2975 3265 3365 3802 4121 4682 4935

Vehicle involvement rate (fatal crashes)Per 100 million vehicle-miles

Passenger car N 56 35 24 21 21 21 20 19 18 18 17 17 17 16 16 15Light Truck N N 43 28 23 24 23 23 23 22 22 21 21 21 21 20 19Motorcycle N 229 509 343 228 232 219 214 227 239 284 339 352 397 407 448 398

Per 10000 registered vehiclesPassenger car N 56 37 28 25 25 25 24 23 22 22 21 21 20 19 19 18Light Truck N N 42 31 27 28 28 28 28 27 27 26 26 26 25 24 23Motorcycle N 82 91 77 62 58 56 56 60 61 68 67 67 71 71 75 74

KEY N = data do not exist R = revised

NOTES

e Included in single-unit 2-axle 6-tire or more truck categoryf Included in passenger cars

a Figures obtained by addition subtraction and may not appear directly in data sourceb Urban consists of travel on all roads and streets in urban places of 5000 or greater population

d Involvement only with motor vehicle

c Includes motorcycle data

g Rates come directly from the source and may differ slightly from rates that could be calculated from the information displayed in this table

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues totala (based on SIC) ($ millions) N N N 127314 155713 161806 172743 183153 197490 N N N N N N N N

Local trucking N N N 31397 40903 43830 46589 49972 55553 N N N N N N N NTrucking except local N N N 74465 89369 91675 97586 103847 109351 N N N N N N N NLocal trucking with storage N N N 4115 4757 5154 5502 5860 6144 N N N N N N N NCourier services except by air N N N 17337 20684 21147 23066 23474 26442 N N N N N N N N

Operating expenses totala (based on SIC) ($ millions) N N N 118968 145216 151628 162825 170998 179907 N N N N N N N NLocal trucking N N N 28049 36455 38695 41325 43871 47478 N N N N N N N NTrucking except local N N N 70965 84682 88061 94390 98570 101584 N N N N N N N NLocal trucking with storage N N N 3885 4543 4817 5121 5439 5638 N N N N N N N NCourier services except by air N N N 16069 19536 20055 21989 23118 25207 N N N N N N N N

Operating revenues totalb (based on NAICS) ($ millions) N N N N N N N N (R) 197314 (R) 207751 (R) 223197 (R) 221355 (R) 222383 (R) 228311 (R) 248191 273574 291316 Truck transportation N N N N N N N N (R) 148121 (R) 155871 (R) 165421 (R) 162871 (R) 164218 (R) 168486 (R) 185945 206550 219539Couriers and messengers N N N N N N N N 49193 (R) 51880 57776 58484 58165 59825 62246 67024 71777

Truck highway-user taxes totalc ($ millions) 2830 5632 9888 19356 23836 25117 U 28010 28697 30502 31769 30689 30216 31266 32780 35178 37351State 1709 3429 6731 12691 13157 13844 U 15750 15611 16266 16476 17686 16566 14312 17923 18632 19573Federal 1121 2203 3157 6665 10679 11273 U 12260 13086 14236 15293 13003 13650 16954 14857 16546 17778

INVENTORYNumber of truck registrations total 11914249 4586487 5790653 6195876 6587885 6719421 7012615 7083326 7732270 7791426 8022649 7857675 7927280 (R) 7756888 8171363 8481999 8819007

Single-unit truck N 3681405 4373784 4486981 4906385 5023670 5266029 5293358 5734925 5762864 5926030 5703501 5650619 (R) 5848523 6161028 6395240 6649337Combination truck N 905082 1416869 1708895 1681500 1695751 1746586 1789968 1997345 2028562 2096619 2154174 2276661 (R) 1908365 2010335 2086759 2169670

Number of employeesTrucking and courier services except air (based on SIC) N 998500 1182000 1273900 1384200 1440000 1482100 1514200 1568800 1613700 1630500 1619800 1590000 N N N NTruck transportation (based on NAICS) N N N 1122400 1206200 1249100 1282400 1308200 1354400 1391500 1405800 1386800 1339300 (R) 1325600 (R) 1351700 1397600 1435800Couriers and messengers (based on NAICS) N N N 375000 466200 516800 539900 546000 568200 585900 605000 587000 560900 (R) 561700 (R) 556600 571400 582400Truck drivers and sales workersd (based on NAICS) 1477000 1565000 1931000 2148000 2321000 2861000 2542000 2602000 3012000 3028660 2983950 2992700 2867530 2869770 2899010 2963550 3012220Number of trucking and courier establishmentsa N 64756 69796 90709 108971 112887 116861 121111 119572 120687 122713 122669 124481 125744 128121 131086 134053PERFORMANCEVehicle-milestotal rural and urban (millions) 127404 62215 108491 146242 170216 178156 182971 191477 196380 202688 205520 209032 214603 217917 (R) 220811 222524 223037Rural highway total 84508 39244 68776 89692 100865 106031 109480 114698 115142 117941 120410 122736 125884 123689 (R) 121330 119684 120086

Rural interstate N 10069 25111 35789 40034 43351 45721 49336 49896 51049 52484 53225 54503 52925 (R) 51296 51378 51385Rural other arterial N 17625 24789 31331 35040 37056 37875 39193 39724 40691 41649 41838 42436 41342 (R) 40690 39762 39626Other rural roads N 11550 18876 22572 25791 25624 25884 26169 25522 26201 26277 27673 28945 29422 (R) 29344 28544 29075

Urban highway totale 42896 22971 39715 56550 69351 72125 73491 76779 81238 84747 85110 86296 88719 94227 (R) 99481 102840 102951Urban interstate N 5634 13135 22163 25045 25639 26256 28549 30193 32286 32181 32690 33040 35487 (R) 38083 40289 39731Other urban streets N 17337 26580 34387 44306 46486 47235 48230 51045 52461 52929 53606 55679 58740 (R) 61398 62551 63220

Passenger-miles totalf (millions) 127405 62215 108491 146242 170216 178156 182971 191477 196380 202688 205520 209032 214603 217917 (R) 220811 222524 223037Single-unit truckg 98551 27081 39813 51901 61284 62705 64072 66893 68021 70304 70500 72448 75866 77757 (R) 78441 78496 80331Combination truck 28854 35134 68678 94341 108932 115451 118899 124584 128359 132384 135020 136584 138737 140160 (R) 142370 144028 142706

Ton-miles (millions) U U (R) 629675 (R) 848779 (R) 987923 (R) 1034041 (R) 1061952 (R) 1110554 (R) 1139777 (R) 1176388 (R) 1192825 (R) 1213208 (R) 1245542 (R) 1264773 1281573 1291515 1294492Fuel consumed all trucks (million gallons) 15882 11316 19960 24490 27685 28993 29601 29878 31975 33909 35229 35179 36800 32696 (R) 33150 37190 37918

Single-unit truck N 3968 6923 8357 9032 9216 9409 9576 6817 9372 9563 9667 10321 8880 (R) 8959 9501 9843Combination truck N 7348 13037 16133 18653 19777 20192 20302 25158 24537 25666 25512 26480 23815 (R) 24191 27689 28075

Average fuel consumption per vehicle all trucks (gallons) 1333 2467 3447 3953 4202 4315 4221 4218 4135 4352 4391 4477 4642 4215 (R) 4057 4385 4300Single-unit truck N 1078 1583 1862 1841 1835 1787 1809 1189 1626 1614 1695 1826 1518 (R) 1454 1486 1480Combination truck N 8119 9201 9441 11093 11663 11561 11342 12596 12096 12241 11843 11631 12479 (R) 12033 13269 12940

Average miles traveled per gallon of fuel consumed all trucks 80 55 54 60 61 61 62 64 61 60 58 59 58 67 67 60 59Single-unit truck N 68 58 62 68 68 68 70 100 75 74 75 74 88 88 83 82Combination truck N 48 53 58 58 58 59 61 51 54 53 54 52 59 59 52 51

Average miles traveled per vehicle all trucks 10693 13565 18736 23603 25838 26514 26092 27032 25397 26014 25617 26602 27071 28093 (R) 27023 26235 25290Single-unit truck N 7356 9103 11567 12491 12482 12167 12637 11861 12199 11897 12702 13426 13295 (R) 12732 12274 12081Combination truck N 38819 48472 55206 64783 68083 68075 69601 64265 65260 64399 63404 60939 73445 (R) 70819 69020 65773

Average length of haul (domestic freight) (miles) 272 263 363 391 392 416 426 435 442 458 473 485 U U U U USAFETYOccupant fatalities large truck N N 1262 705 670 648 621 723 742 759 754 708 689 726 (R) 766 804 805Occupant fatality ratePer 100 million vehicle-miles large truck N N 12 05 04 04 03 04 04 04 04 03 03 03 (R) 04 04 04Per 10000 registered vehicles large truck N N 22 11 10 10 09 10 10 10 09 09 09 09 09 09 09Vehicle involvement rate (fatal crashes)Per 100 million vehicle-miles large truck N N 50 33 27 25 26 26 25 24 24 23 21 22 22 22 21Per 10000 registered vehicles large truck N N 93 77 70 67 68 69 64 63 62 61 58 61 60 58 54

Truck Profile

KEY N = data do not exist R = revised U = data are not available

Number of trucking and courier establishments

Vehicle-miles total rural and urban

Number of employees Truck drivers and sales workers (based on NAICS)

2002-06 US Department of Labor Bureau of Labor Statistics Occupational Employment Statistics Occupational Employment and Wages 2003 (Washington DC November 2003) available at httpwwwblsgovoes as of May 21 2008

1960-2001 Eno Transportation Foundation Inc Transportation in America 2000 (Washington DC 2001) p 35

a Local trucking (SIC 4212) - Establishments primarily engaged in furnishing trucking or transfer services without storage for freight generally weighing more than 100 poundsTrucking except local (SIC 4213) - Establishments primarily engaged in furnishing over-the-road trucking services or trucking services and storage services including household goods either as common carriers or under special or individual contracts or agreements for freight generally weighing more than 100 poundsLocal trucking without storage (SIC 4214) - Establishments primarily engaged in furnishing both trucking and storage services including household goodsCourier services except by air (SIC 4215) - Establishments primarily engaged in the delivery of individually addressed letters parcels and packages (generally under 100 pounds)b Truck transportation (NAICS 484) - Industries primarily engaged in over-the-road transportation of cargo using motor vehicles truck-tractors and trailers

Couriers and messengers (NAICS 492) - Establishments primarily engaged in providing air surface or combined courier delivery services of parcels or primarily engaged in furnishing local messenger and delivery services of small items within a single metropolitan area or urban centerc Numbers may not equal totals due to rounding

Operating revenues total (based on NAICS)

Truck highway-user taxes

d In 1999 the Occupational Employment Statistics survey began using the Standard Occupational Classification (SOC) system to organize occupational data Therefore estimates from 1999 and subsequent years are not directly comparable to previous occupational dataeUrban consists of travel on all roads and streets in urban places of 5000 or greater populationf As cited on the Federal Highway Administration (FHWA) highway passenger-miles are calculated by multiplying vehicle-miles of travel and the average number of occupants for each vehicle typeg Includes other 2-axle 4-tire vehicle in 1960

NOTES

In 1995 FHWA revised its vehicle type categories These new categories include passenger car other 2-axle 4-tire vehicle single-unit 2-axle 6-tire or more truck and combination truck Other 2-axle 4-tire vehicles include vans pickup trucks and sportutility vehicles In previous years some minivans and sportutility vehicles were included in the passenger car category Single-unit 2-axle 6-tire or more trucks are on a single frame with at least 2 axles and 6 tires Occupant fatality rate (OFR) for Light Trucks has been removed but that it is in the Automobile profile The remaining fatality rates are calculated by NHTSA and may be different from what would be calculated from the data presented

1995-2006 lbid Federal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-1Ton-miles

US Bureau of the Census County Business Patterns (Washington DC Annual issues) NAICS 484 and 492SIC 421 available at httpcenstatscensusgovcbpnaiccbpnaicshtml as of December 2008

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201

1960-1999 American Trucking Association American Trucking Trends (Washington DC Annual issues)

1960-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A

1960-90 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-1994 (Washington DC September 1994) SIC 421

1990-2006 US Department of Labor Bureau of Labor Statistics Database and Tables available at httpwwwblsgovdatasahtm as of May 2008 NAICS codes 484 Truck transportation and 492 Couriers and messengers

1994-2006 Ibid Employment Hours and Earnings available at wwwblsgov as of May 23 2008 SIC 421

Number of employees Truck transportation (based on NAICS) and Couriers and messengers (based on NAICS)

2000-2006 American Trucking Association American Trucking Trends unpublished data personal communication June 30 2008 Number of truck registrations

1995-2006 Ibid Federal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-1Number of employees Trucking and courier services except air (based on SIC)

US Census Bureau Transportation Annual Survey (Washington DC December 1998) table 1

Ibid Service Annual Survey 2006 (Washington DC Annual issues) table 21 and similar tables in earlier editions available at httpwwwcensusgovsvsdwwwservicessassas_datasas48htm as of May 2008

SOURCESUnless otherwise noted refer to chapter tables for sources

Operating revenues total and Operating expenses total (based on SIC)

1960-70 Eno Transportation Foundation Inc Transportation in America 2000 (Washington DC 2001) p 12

1960 Ibid Transportation in America 2000 (Washington DC 2001) p 35

Eno Transportation Foundation Inc Transportation in America 2001 (Washington DC 2001) p65

US Department of Transportation National Highway Traffic Safety Administration Traffic Safety Facts 2006 DOT HS 810 818 (Washington DC Annual issues) tables 3 8 and 9 May 29 2008

Average length of haul

Safety

1980-2006 US Department of Transportation Bureau of Transportation Statistics special tabulation as of October 2008

Fuel consumed Average fuel consumption per vehicle Average miles traveled per gallon of fuel consumed and Average miles traveled per vehicle

1970-94 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A1995-2006 IbidFederal Highway Administration Highway Statistics (Washington DC Annual issues) table VM-1

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Expenditures ($ thousands) School bus1 486000 1219000 3833000 8031000 7847000 9889000 9082000 10353000 10326000 10340000 12104000 12624000 U U U U UOperating revenues ($ thousands) Intercity bus Class I2a 463100 721700 1397378 943268 1161479 1189235 985537 1080083 1074582 1326909 1133822 1117526 1120422 1345056 U U UOperating expenses ($ thousands)Intercity bus Class I2a 405400 639000 1318372 1026213 1289834 1253537 941014 1022680 1016208 1313900 1078386 1080186 1092596 1321407 U U UINVENTORYNumber of operating companiesIntercity bus Class I2a 143 71 61 31 26 24 20 22 20 18 15 15 16 36Number of vehicles all buses3 272129 377562 528789 626987 670423 685503 694781 697548 715540 728777 746125 749548 760717 776550 795274 807053 UNumber of employees4 (SIC based)Intercity and rural bus transportation 40500 43400 37900 26100 23600 23800 23800 22200 24400 23800 24700 25100 23000 N N N NSchool buses N N 79900 111200 125900 131100 132200 136500 141000 146100 146700 147700 148700 N N N NNumber of employees5 (NAICS based)Interurban and rural bus transportation 38200 40900 35800 24600 22300 22500 22500 21000 23000 22500 23400 23600 22800 (R) 21900 20100 20200 19600School and employee bus transportation N N 81400 114200 130000 135500 136900 141500 146200 151400 152000 153000 161100 (R) 164800 166600 168800 169600Charter bus industry N N 14800 26100 28300 29200 31000 32000 33900 36100 38200 36800 35500 (R) 33200 32200 31400 30300PERFORMANCEVehicle-miles all buses (millions)6 4346 4544 6059 5726 6409 6420 6538 6842 7007 7662 7590 7077 6845 6783 6801 6646 URural highway total 2332 2549 3035 3444 3730 3854 3933 4109 4251 4667 4489 4165 3941 3806 3691 3589 U

Interstate rural N 339 533 567 683 711 742 794 834 971 978 951 943 995 999 971 UOther arterial rural N 944 991 995 1154 1171 1186 1243 1282 1375 1270 1133 1104 1001 992 961 UOther rural N 1266 1511 1882 1893 1972 2005 2072 2135 2321 2241 2081 1894 1810 1700 1658 U

Urban highwayb total 2014 1995 3024 2283 2679 2566 2605 2733 2756 2995 3101 2912 2904 2977 3110 3057 UInterstate urban N 277 560 455 627 580 598 647 663 752 791 775 803 943 986 964 UOther urban N 1718 2464 1828 2052 1986 2007 2086 2093 2243 2310 2137 2101 2033 2124 2093 U

Passenger-miles (millions) all buses6 N N N 121398 135871 136104 138613 145060 148558 162445 160919 150042 145124 143801 144188 140910 UNumber of revenue passengers (thousands)Intercity bus total1 366000 401000 370000 334000 343200 366500 347900 350600 357600 358900 364600 356900 U U U U UAverage miles traveled per vehicle all buses6 15970 12035 11458 9133 9560 9365 9386 9809 9793 10515 10173 9442 8998 8734 8552 8235 UFuel consumed (million gallons) all buses6 827 820 1018 895 964 968 985 1027 1040 1148 1112 1026 1000 969 1360 1329 UAverage fuel consumption per vehicle (gallons) all buses6 3039 2172 1925 1427 1438 1412 1414 1472 1454 1576 1490 1369 1314

12481710 1647 U

Average miles traveled per gallon of fuel consumed all buses6 53 55 60 64 66 66 66 67 67 67 68 69 68

750 50 U

Average revenue per passenger-mile (cents) (intercity)1 271 360 726 1155 1161 1219 1230 1256 1275 1276 1279 1291 U U U U USAFETYNumber of fatalities7

School bus-related N N 150 115 107 123 136 131 128 167 147 141 129 138 130 134 USchool bus occupants N N 9 11 4 13 10 10 6 10 21 18 3 11 7 10 UOther vehicle

Occupants N N 88 64 64 72 101 97 91 127 99 95 100 99 90 87 UNonoccupants N N 53 40 39 38 25 24 31 30 27 28 26 28 33 37 U

Occupant fatalities all buses7 N N 46 32 21 33 21 18 38 59 22 34 45 41 42 58 27School buses N N 14 13 2 12 10 8 6 8 16 16 2 7 7 8 UCross country buses N N 23 2 7 6 3 5 13 32 3 3 20 3 23 33 UTransit buses N N 6 3 6 1 5 3 2 6 1 4 6 11 1 3 UOther and unknown N N 3 14 6 14 3 2 17 13 2 11 17 19 10 14 U

Fatalities in vehicular accidentsc all buses8 N N 390 340 286 311 367 339 329 373 (R) 357 (R) 331 (R) 331 (R) 337 (R) 315 (R) 340 331Occupant fatality ratePer 100 million vehicle-miles all buses6 7 N N 08 06 03 05 03 03 05 08 03 05 07 06 06 09 UPer 10000 registered vehicles all buses3 7 N N 09 05 03 05 03 03 05 08 03 05 06 05 05 07 UVehicle involvement rate (fatal crashes)Per 100 million vehicle-miles all buses6 8 N N 64 59 45 48 56 50 47 49 38 31 50 43 41 42 UPer 10000 registered vehicles all buses3 8 N N 74 54 43 45 53 49 46 52 39 29 45 37 35 35 U

b Urban consists of travel on all roads and streets in urban places of 5000 or greater population

a In 2003 the Federal Motor Carrier Safety Administration implemented a program to improve reporting by Class I intercity bus carriers This accounts for the large increase in the number of operating companies between 2002 and 2003 and as a result the large increase in operating revenues and expenses

5 1960-2006 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings from the Current Employment Statistics Survey Internet site httpwwwblsgovdatasahtm as of October 2007 NAICS codes 4852 Interurban and rural bus transportation 4854 School and employee bus transportation and 4855 Charter bus industry

NOTE

c Includes all fatalities that occurred in an accident in which a bus was involved

SOURCES

See transit profile for transit bus data

Bus Profile

8 Ibid Fatality Analysis Reporting System (FARS) Query Internet site httpwww-farsnhtsadotgov as of Dec 2007

Unless otherwise noted refer to chapter tables for source

7 1980-98 Ibid National Highway Traffic Safety Administration Traffic Safety Facts 1998 DOT HS 808 983 (Washington DC October 1999) tables 74 and 93 1999-2005 Ibid Traffic Safety Facts 2005 DOT HS 809 775 (Washington DC January 2007)

3 US Department of Transportation Federal Highway Administration Highway Statistics (Washington DC Annual issues) table MV-10

1 Eno Transportation Foundation Inc Transportation In America 19th edition (Washington DC 2002) p 40 46 and 482 1960-95 Interstate Commerce Commission Annual Report of the ICC (Washington DC Annual issues) Appendix F tables 1 and 6 1996-2002 US Department of Transportation Bureau of Transportation Statistics Selected Earnings Data Class I Motor Carriers of Passengers (Washington DC Annual issues) 2003 US Department of Transportation Federal Motor Carrier Safety Administration personal communication as of Feb 16 2005

6 1960-95 US Department of Transportation Federal Highway Administration Highway Statistics Summary to 1995 FHWA-PL-97-009 (Washington DC July 1997) table VM-201A 1996-2005 Ibid Highway Statistics (Washington DC Annual issues) table VM-1

4 1960-2002 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings from the Current Employment Statistics Survey Internet site httpwwwblsgovdataarchivedhtm as of January 2005 SIC codes 413 Intercity and rural bus transportation and 415 School buses

KEY N = data do not exist R = revised U = data are not available

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Passenger operating revenues1 total ($ millions) 1407 1707 6510 16053 17968 18241 19151 19515 21062 22220 24243 25288 26632 28021 29718 31708 U

Operating revenues total 1407 1707 2805 6786 9027 9613 10345 10854 11654 11930 12963 12471 13251 14215 14735 15252 UPassenger fares total 1335 1639 2556 5891 6756 6801 7416 7546 7970 8282 8746 8891 8649 9149 9775 10269 U

Motor bus N N N 2967 3250 3287 3515 3558 3991 4175 4376 4357 4106 4270 4547 4764 UHeavy rail N N N 1741 1976 2018 2322 2351 2297 2323 2483 2533 2493 2654 2903 3007 ULight rail N N N 83 135 127 144 139 150 164 181 204 226 229 233 249 UTrolley bus N N N 46 55 54 55 57 55 60 60 60 59 54 55 57 UDemand responsive N N N 41 171 146 157 170 142 159 172 182 194 244 254 286 UFerryboata N N N 56 41 60 54 51 41 48 60 71 78 99 111 114 UCommuter rail N N N 952 1083 1078 1146 1178 1255 1309 1375 1439 1447 1552 1615 1728 UOtherb N N N 6 46 31 24 43 38 46 41 47 46 47 57 64 U

Other operating revenue 72 68 248 895 2271 2812 2928 3308 3685 3648 4217 3580 4602 5065 4960 4983 UOperating assistancec total N N 3705 9267 8941 8628 8807 8661 9408 10290 11280 12817 13382 13807 14983 16456 U

State and local N N 2611 8297 8026 7811 8210 8014 8656 9418 10286 11688 12063 12190 12898 14152 UFederal N N 1093 970 916 817 596 647 751 872 994 1130 1319 1616 2086 2303 U

Operating expenses2 total ($ millions) 1377 1996 6711 15742 17920 17849 18341 18936 19739 20512 22646 23517 24834 26852 28506 30295 UMotor bus N N N 8903 10144 10321 10575 10944 11429 11714 12966 13335 14066 15240 16022 16787 UHeavy rail N N N 3825 3786 3523 3402 3474 3530 3693 3931 4180 4268 4446 4734 5145 ULight rail N N N 237 413 376 442 473 500 546 606 682 778 815 887 978 UTrolley bus N N N 109 133 139 135 140 147 167 178 172 187 183 185 196 UDemand responsive N N N 518 943 1000 1187 1285 1405 1419 1805 1754 1949 2363 2524 2828 UFerryboata N N N 171 200 210 183 221 214 238 268 324 354 355 358 350 UCommuter rail N N N 1939 2228 2211 2294 2278 2361 2575 2685 2861 3003 3179 3442 3663 UOtherb N N N 41 73 69 124 122 153 160 206 208 229 (R) 270 353 348 U

Average passenger revenue per passenger-mile3 all modes ($) N N N 014 017 017 018 018 018 018 018 018 018 019 020 021 UMotor bus N N N 014 017 017 018 018 020 020 021 020 019 020 021 022 UHeavy rail N N N 015 019 019 020 019 019 018 018 018 018 020 020 021 ULight rail N N N 014 016 015 015 013 013 014 013 014 016 016 015 015 UTrolley bus N N N 024 029 029 030 030 030 032 031 032 032 030 032 033 UDemand responsive N N N 009 030 024 024 023 019 020 020 021 023 026 026 027 UFerryboata N N N 020 016 023 021 017 014 016 018 022 023 025 028 029 UCommuter rail N N N 013 014 013 014 015 014 015 015 015 015 016 017 018 UOtherb N N N 005 020 011 007 012 009 010 009 009 009 009 011 010 U

Average passenger fare per unlinked trip4 all modes ($) 014 022 030 067 085 087 093 089 091 090 093 092 089 097 102 102 UMotor bus N N N 052 062 066 070 070 074 074 077 074 070 072 075 078 UHeavy rail N N N 074 090 099 108 097 096 092 094 093 093 100 106 107 ULight rail N N N 047 066 050 055 053 054 056 057 061 067 068 067 065 UTrolley bus N N N 036 047 045 047 047 047 050 049 050 046 049 052 054 UDemand responsive N N N 060 204 226 221 183 149 159 164 173 187 214 217 222 UFerryboata N N N 111 087 131 112 099 080 091 113 132 136 150 169 169 UCommuter rail N N N 290 319 313 324 330 329 331 332 344 349 379 390 408 UOtherb N N N 090 128 157 133 066 102 076 066 075 077 091 104 102 U

Transit Profile

INVENTORYNumber of systemsd 5 total 1286 1096 1055 5078 5973 5973 5973 5975 6000 6000 6000 6000 6000 5804 6429 6429 U

Motor bus 1236 1075 1022 2685 2250 2250 2250 2250 2262 2262 2262 2264 2264 1982 1500 1500 UHeavy rail 31 15 11 12 14 14 14 14 14 14 14 14 14 14 14 15 ULight rail ~ ~ 9 17 22 22 22 22 23 24 25 26 27 27 29 29 UTrolley bus 19 6 5 5 5 5 5 5 5 5 5 5 5 4 4 4 UDemand responsive N N N 3193 5214 5214 5214 5214 5254 5252 5252 5251 5251 5346 5960 5960 UFerryboata N N 16 27 25 25 25 25 28 30 33 42 42 46 47 47 UCommuter rail N N 18 14 16 16 16 18 18 20 19 21 20 21 21 22 UOtherb N N 5 35 69 69 69 70 72 81 81 82 82 86 85 87 U

Number of vehicles 6 total 65292 61298 75388 93430 116416 116341 122750 126473 124048 128937 131241 134789 135107 138290 143822 150827 UMotor bus 49600 49700 59411 58714 68123 67107 71678 72770 72142 74228 75013 76075 76190 77328 81033 82027 UHeavy rail 9010 9286 9641 10567 10282 10166 10243 10228 10296 10362 10311 10718 10849 10754 10858 11110 ULight rail 2856 1262 1013 910 1051 1048 1114 1078 1076 1180 1327 1371 1448 1482 1622 1645 UTrolley bus 3826 1050 823 610 643 695 675 655 646 657 652 600 616 672 597 615 UDemand responsive N N N 16471 28729 29352 30804 32509 29646 31884 33080 34661 34699 35954 37078 41958 UFerryboata N N N 108 110 110 109 134 113 112 119 125 125 131 160 171 UCommuter raile N N 4500 4982 5126 5164 5240 5426 5536 5550 5498 5572 5724 5959 6228 6392 UOtherb N N N 1068 2352 2699 2887 3673 4593 4964 5241 5667 5456 6010 6246 6909 U

Number of employeesf 7 total 156400 138040 189300 262176 294087 300491 314944 320759 327752 337885 347841 357266 360722 (R) 337982 345871 345458 UMotor bus 121300 101598 N 162189 174373 181973 190152 196861 198644 204179 211095 214674 214825 205478 212122 217332 UHeavy rail 35100 36442 N 46102 51062 45644 45793 45935 45163 46311 47087 47865 48464 48327 47211 47806 ULight rail + + N 4066 5140 4935 5728 5940 6024 6058 6572 7021 7598 7619 8184 8181 UTrolley bus + + N 1925 1848 1871 2084 2037 2053 2140 2223 2008 2027 1964 1928 1942 UDemand responsive N N N 22740 35450 39882 44667 44029 48406 51186 52021 55846 56746 42935 43642 46624 UFerryboata N N N 2813 2764 2697 2830 3166 3894 4024 2682 4731 5336 5434 5862 5737 UCommuter rail N N N 21443 22596 22320 22604 21651 22488 22896 23518 23851 24391 24813 25296 25321 UOtherb N N N 898 854 1169 1086 1140 1080 1091 2643 1270 1335 (R) 1414 1626 1516 U

PERFORMANCEVehicle-miles8 total (millions) 2143 1883 2287 3242 3468 3550 3650 3746 3794 3972 4081 4196 4277 4363 4471 4601 U

Motor bus 1576 1409 1677 2130 2162 2184 2221 2245 2175 2276 2315 2377 2411 2421 2471 2485 UHeavy rail 391 407 385 537 532 537 543 558 566 578 595 608 621 630 642 646 ULight rail 75 34 18 24 34 35 38 41 44 49 53 54 61 64 67 69 UTrolley bus 101 33 13 14 14 14 14 14 14 14 15 13 14 14 13 13 UDemand responsive N N N 306 464 507 548 585 671 718 759 789 803 864 890 978 UFerryboata N N 2 2 2 3 3 3 3 3 3 3 3 4 4 4 UCommuter rail N N 179 213 231 238 242 251 260 266 271 277 284 286 295 303 UOtherb N N 13 16 30 34 42 49 63 69 71 75 80 81 88 103 U

Unlinked passenger trips9 total (millions) N 7332 8567 8799 7949 7763 7948 8374 8750 9168 9363 9653 9623 9434 9575 9815 UMotor bus N 5034 5837 5677 4871 4848 4887 5013 5399 5648 5678 5849 5868 5692 5731 5855 UHeavy rail N 1881 2108 2346 2169 2033 2157 2430 2393 2521 2632 2728 2688 2667 2748 2808 ULight rail N 124 133 175 284 251 261 262 276 292 320 336 337 338 350 381 UTrolley bus N 182 142 126 118 119 117 121 117 120 122 119 116 109 106 107 UDemand responsive N N N 68 88 88 93 99 95 100 105 105 103 111 114 125 UFerryboata N N 63 50 47 47 48 51 52 53 53 54 57 66 65 66 UCommuter rail N N 280 328 339 344 352 357 381 396 413 419 414 410 414 423 UOtherb N N 4 29 33 33 33 41 37 38 40 43 40 43 47 51 U

Passenger-miles10 total (millions) N N 39854 41143 39585 39808 41378 42339 44128 45857 47666 49070 48324 47903 49073 49678 UMotor bus N N 21790 20981 18832 18818 19096 19604 20360 21205 21241 22022 21841 21262 21377 21825 UHeavy rail N N 10558 11475 10668 10559 11530 12056 12284 12902 13844 14178 13663 13606 14354 14418 ULight rail N N 381 571 833 860 957 1035 1128 1206 1356 1437 1432 1476 1576 1700 UTrolley bus N N 219 193 187 187 184 189 182 186 192 187 188 176 173 173 UDemand responsive N N N 431 577 607 656 754 735 813 839 855 853 930 962 1068 UFerryboata N N N 286 260 260 256 294 294 310 330 325 333 394 393 394 UCommuter rail N N 6516 7082 7996 8244 8351 8038 8704 8766 9402 9548 9504 9559 9719 9473 UOtherb N N 390 124 232 273 348 369 441 469 462 518 510 499 518 639 U

Average trip length11 all modes (miles) N N N N 5 5 5 5 5 5 5 5 5 5 5 5 UMotor bus N N N N 4 4 4 4 4 4 4 4 4 4 4 4 UHeavy rail N N N N 5 5 5 5 5 5 5 5 5 5 5 5 ULight rail N N N N 4 3 4 4 4 4 4 4 4 4 5 5 UTrolley bus N N N N 2 2 2 2 2 2 2 2 2 2 2 2 UDemand responsive N N N N 7 8 9 10 8 8 8 8 8 8 9 9 UFerryboata N N N N 6 6 5 6 6 6 6 6 6 6 6 6 UCommuter rail N N N N 24 24 24 23 23 22 23 23 23 23 24 22 UVanpool N N N N 32 35 34 33 36 34 35 33 37 33 31 34 UOtherg N N N N 1 1 1 1 1 1 1 1 1 1 1 1 U

Average vehicle speed12 all modes (miles per hour) N N N N 15 15 15 15 15 15 15 15 15 15 15 15 UMotor bus N N N N 13 13 13 13 13 13 13 13 13 13 13 13 UHeavy rail N N N N 21 21 21 21 21 21 21 20 20 21 20 20 ULight rail N N N N 14 14 14 16 16 15 15 15 15 16 16 15 UTrolley bus N N N N 8 8 8 8 8 7 7 7 7 7 8 7 UDemand responsive N N N N 14 15 15 15 17 15 15 15 15 15 14 15 UFerryboata N N N N 8 6 7 7 8 8 8 8 8 9 8 8 UCommuter rail N N N N 34 34 33 34 32 33 29 32 32 32 32 32 UVanpool N N N N 33 35 37 36 37 38 31 39 38 33 38 38 UOtherg N N N N 6 6 7 7 7 7 8 8 8 7 6 7 U

Energy consumption diesel13 total (million gallons) 208 271 431 651 678 678 693 717 740 763 786 745 725 713 731 730 UMotor bus N N N 563 565 564 578 598 607 618 635 587 559 539 550 534 UHeavy rail NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA ULight rail NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UTrolley bus NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UDemand responsive N N N 15 30 29 31 32 38 43 48 55 62 70 73 82 UFerryboata N N N 20 21 22 22 24 25 29 32 30 31 32 35 37 UCommuter rail N N N 53 62 63 62 63 69 73 71 72 73 72 72 77 UOtherb N N N lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 lt 1 U

Energy consumption other14 total (million gallons) 192 69 11 34 65 71 76 83 90 93 103 112 132 146 165 181 UGasoline and other nondiesel fuelsh 192 68 11 33 60 61 61 59 53 49 48 46 51 46 53 58 UCompressed natural gas U U U U 5 11 15 24 37 44 55 66 81 100 112 123 U

Energy consumption electric power15 total (million kWh) 2908 2561 2446 4837 5081 5068 5007 4988 5073 5237 5510 5610 5649 5643 5825 5954 UMotor bus NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UHeavy rail N N N 3284 3431 3401 3332 3253 3280 3385 3549 3646 3683 3632 3684 3769 ULight rail N N N 239 282 288 321 361 381 416 463 487 510 507 553 571 UTrolley bus N N N 69 103 100 69 78 74 75 77 74 73 69 68 67 UDemand responsive NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UFerryboata NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA UCommuter rail N N N 1226 1244 1253 1255 1270 1299 1322 1370 1354 1334 1383 1449 1484 UOtherb N N N 19 21 26 30 26 39 39 51 49 49 51 72 63 U

SAFETYk

Fatalities all modes16 N N N 339 320 274 264 275 286 299 295 267 280 234 248 236 213Transit highway-rail grade crossing fatalitiesl 17 N N N N N 17 7 12 26 21 20 13 24 21 29 23 21Other transit fatalities N N N N N 257 257 263 260 278 275 254 256 213 219 213 192

Injured persons all modesi 16 N N N 54556 58193 57196 55288 56132 55990 55325 56697 53945 19260 18235 18982 18131 18327Transit highway-rail grade crossing injuriesl 17 N N N N N 195 184 126 58 159 123 74 108 117 153 194 172Other transit injuries N N N N N 57001 55104 56006 55932 55166 56574 53871 19152 18118 18829 17937 18155

Incidents all modes16 N N N 90163 70693 62471 59392 61561 60094 58703 59898 58149 30331 19797 20939 21016 22275Transit highway-rail grade crossing incidentsl 17 N N N N N 127 134 119 106 140 148 101 398 276 311 504 131Other transit incidents N N N N N 62344 59258 61442 59988 58563 59750 58048 29933 19521 20628 20512 22144Major incidentsj

N N N N N N N N N N N N 2282 1913 2515 U U

KEY ~ = included in heavy rail figure + = included in motor bus figure kWh = kilowatt hours N = data do not exist NA = not applicable P = preliminary R = revised U = data are not available

a Excludes international rural rural interstate island and urban park ferriesb Includes cable car inclined plane aerial tramway monorail vanpool and automated guideway

Unless otherwise noted refer to chapter tables for sources

c Beginning in 1992 local operating assistance and other revenue declined by about $500 million due to change in accounting procedures at the New York City Transit Authority Beginning in 1992 total operating expense declined by about $400 million due to a change in accounting procedures at the New York City Transit Authorityd The total figure represents the number of transit agencies It is not the sum of all modes since many agencies operate more than one modee Includes locomotives which make up roughly 10 percent of commuter rail vehiclesf Based on employee equivalents of 2080 hours equals one employee beginning in 1993 based on number of actual employees g Includes cable car inclined plane aerial tramway monorail and automated guidewayh Liquefied natural gas liquefied petroleum gas methanol propane and other nondiesel fuels except compressed natural gasi Beginning in 2002 the Federal Transit Administration changed the reporting threshold for injuries Before 2002 essentially all injuries had to be reported to the National Transit Database Beginning in 2002 only those injuries requiring immediate medical attention away from the scene of the incident are required to be reported j In 2002 the Federal Transit Administration defined major incidents as safety andor security incidents resulting in a fatality two or more injuries transported for immediate medtreatment property damage exceeding $25000 (all property) main-line derailments evacuations due to life safety grade crossing collisions with injury or $7500 damage or rail transit vehicle collisions resulting in one or more injurieskThese data are for motor bus commuter rail heavy rail light rail automated guideway demand response and vanpooll Transit highway-rail grade crossing fatalities injuries and incidents are the result of public transit rail mode operations excluding commuter rail Almost all transit highway-rail crossings are light rail crossings The heavy rail system in Chicago has 5 crossings For the most part heavy rail operates on rights-of-way that do not include crossings

SOURCES

1 American Public Transit Association Public Transportation Fact Book 2007 (Washington DC 2007) tables 50 52 66 and similar tables in earlier years

2 Ibid tables 48 66 and similar tables in earlier years3 Ibid tables 10 48 76 and similar tables in earlier years4 Ibid table 49 and similar tables in earlier years5 Ibid table 2 and similar tables for prior years6 Ibid tables 17 66 and similar tables in earlier years7 Ibid tables 22 66 and similar tables in earlier years8 Ibid tables 11 66 and similar tables in earlier years9 Ibid tables 6 66 and similar tables in earlier years10 Ibid tables 7 66 and similar tables in earlier years11 Ibid table 9 and similar tables in earlier years

16 US Department of Transportation Federal Transit Administration Transit Safety and Security Statistics and Analysis Annual Report (previously Safety Management Information Statistics - SAMIS) Internet site httptransit-safetyvolpedotgovDatasamisdefaultasp Sept 27 2007

12 Ibid 13 and similar tables in earlier years

17 US Department of Transportation Federal Transit Administration Office of Program Management personal communication as of Sept 5 2007

15 Ibid table 26 and similar tables in earlier years

14 Ibid table 28 and similar tables in earlier years

13 Ibid table 27 and similar tables in earlier years

FINANCIAL 1960 1970f 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 (R) 2005 2006Class I a1

Operating revenues total ($ millions) 9514 11992 28258 28370 30809 32280 32693 33118 33151 33521 34102 34576 35327 36639 40517 46118 52152Passenger 640 421 446 94 88 89 59 60 61 61 62 62 61 62 63 65 70Freight 8025 10922 26350 27471 29931 31356 31889 32322 32247 32680 33083 33533 34110 35413 39131 44457 50315Other 849 649 1462 805 790 835 745 736 843 780 957 981 1155 1164 1323 1597 1767

Operating expenses ($ millions)b 8775 11478 26355 24652 25511 27897 26331 27291 27916 28011 29040 29164 29592 31440 35107 37843 40980Amtrakc2

Total revenue ($ millions) N 162 429 1308 1413 1490 1550 1669 2244 2011 2111 2109 2228 (R) 1994 (R) 1865 1886 2042Total expenses ($ millions) N 301 1103 2012 2246 2257 2258 2359 2548 2660 2876 3288 3224 (R) 3100 (R) 2950 2940 3005INVENTORYClass Ia 1

Number of vehicles total (R) 1994517 (R) 1811258 (R) 1738921 (R) 1231096 (R) 1210917 (R) 1237739 (R) 1259842 (R) 1290103 (R) 1335928 (R) 1389092 (R) 1400824 (R) 1333881 (R) 1320176 (R) 1299751 (R) 1309935 1335024 1370239Class I freight cars 1658292 1423921 1168114 658902 590930 583486 570865 568493 575604 579140 560154 499860 477751 467063 473773 474839 475415Other nonclass I freight cars 307194 360260 542713 553359 601482 635441 669708 701926 740063 789696 820642 814276 821919 811917 814147 837406 871092Number of Locomotives 29031 27077 28094 18835 18505 18812 19269 19684 20261 20256 20028 19745 20506 20771 22015 22779 23732

Number of companies 106 71 38 14 12 11 10 9 9 9 8 8 7 7 7 7 7Number of employees 780494 566282 458994 216424 189962 188215 181809 177981 178222 177557 168360 162155 157372 154652 157699 162438 167581Miles of road owned 207334 196479 164822 119758 109332 108264 105779 102128 100570 99430 99250 (R) 97817 (R) 100125 (R) 99126 (R) 97662 95830 94614AmtrakNumber of passenger vehicles3

Train-cars N 1569 2128 1863 1852 1722 1730 1728 1962 1992 1894 2084 2896 1623 1211 1186 1191Locomotives N 185 419 318 338 313 299 332 345 329 378 401 372 442 276 258 319

Number of employees4 N 1500 21416 24000 25049 23646 23278 23555 24528 25291 25624 27316 22649 20905 20938 19234 18659System route mileage5 N N 24000 24000 25000 24000 25000 25000 22000 23000 23000 23000 23000 22675 22256 22007 21708PERFORMANCE Class Ia

Car mileage freight (thousands)1 28170000 29890000 29277000 26159000 28485000 30383000 31715000 31660000 32657000 33851000 34590000 34243000 34680000 35555000 37071000 37712000 38955000Train mileage freight (thousands)1 404464 427065 428498 379582 440896 458271 468792 474954 474947 490442 504001 499546 499668 515999 534696 547566 562607Locomotive mileage total (thousands)6 N N 1531050 1280365 1404706 1444691 1465149 1423229 1439703 1503947 1502819 1477546 1443531 1484074 1538385 U U

Freight 421900 1278200 1319010 1144559 1261482 1293851 1311351 1281768 1285706 1349580 1354590 1327669 1300574 1353885 1398450 U UTrain and yard switching N N 212040 135806 143224 150840 153798 141461 153997 154367 148229 149876 142957 130190 139935 U U

Revenue ton-miles of freight (millions)1 572309 764809 918958 1033969 1200701 1305688 1355975 1348926 1376802 1433461 1465960 1495472 1507011 1551438 1662598 1696425 1771897Average length of haul freight (miles)1 461 515 616 726 817 843 842 851 835 835 843 859 853 862 902 894 906Fuel consumed in freight service (million gallons)1 3463 3545 3904 3115 3334 3480 3579 3575 3583 3715 3700 3710 3730 3826 4059 4098 4192Average miles traveled per vehicle

Car 14124 16502 16836 21249 23523 24547 25174 24541 24445 24369 24693 25672 26269 27355 28300 28248 28429Locomotive N N 54497 67978 75910 76796 76037 72304 71058 74247 75036 74831 70396 71449 69879 U U

Average miles traveled per gallonCar 813 843 750 840 854 873 886 886 911 911 935 923 930 929 913 920 929Train 012 012 011 012 013 013 013 013 013 013 014 013 013 013 013 013 013

AmtrakPassenger train car-miles (millions)7 N 213 235 301 304 292 276 288 312 342 371 378 379 332 308 265 264Passenger train-miles (millions)2 N 26 30 33 34 32 30 32 33 34 35 36 38 37 37 36 36Passenger locomotive-miles (millions)2 N N 41 49 51 48 U U U U U U U U U U URevenue passengers carried (millions)2 N 17 21 22 21 21 20 20 21 22 23 24 23 25 25 25 25Revenue passenger-miles (millions)2 N 3039 4503 6057 5921 5545 5050 5166 5304 5330 5498 5559 5314 5680 5511 5381 5410Average passenger fare (dollars)2 N 830 1772 3850 3910 3992 4331 4526 4475 4685 4961 5158 5605 5778 5681 5829 6543Average passenger revenue passenger-mile (cents)2 N 45 82 141 140 149 169 177 178 189 203 218 245 250 260 2716 2969Average passenger trip length (miles)2 N 1826 2170 2730 2793 2679 2563 2557 2514 2479 2444 2366 2284 2309 2186 2146 2204Locomotive fuel consumed8

Diesel (million gallons) N N 64 82 75 66 71 75 75 74 76 75 86 78 70 68 UElectric kWh (millions) N N 254 330 309 304 293 282 275 283 350 377 593 666 648 500 U

Rail Profile

SAFETY d9

Number of fatalities railroads and grade crossings total 2345 2331 1424 1300 1226 1146 1039 1063 1008 932 937 971 951 (R) 868 (R) 895 887 910Passengers on Trains 34 10 4 3 5 0 12 6 4 14 4 3 7 3 3 16 2 Employees on duty 215 179 97 40 31 34 33 37 27 31 24 22 20 19 25 25 16 Employees not on duty N N 4 0 0 2 0 0 2 0 1 0 1 1 0 0 0 Trespassers 637 607 566 700 682 660 620 646 644 570 570 673 646 634 (R) 621 600 665 Nontrespassers 1459 1535 746 554 505 443 365 363 326 305 (R) 335 269 (R) 267 (R) 206 (R) 242 241 220 Contractor employees N N 7 3 3 7 9 11 5 12 3 4 10 5 4 5 7

Grade crossing only 1421 1440 772 698 615 579 488 461 431 402 425 421 357 334 (R) 372 358 369Railroad onlye 924 785 645 599 611 567 551 602 577 530 512 550 594 (R) 534 (R) 523 529 541

9 1960-80 US Department of Transportation Federal Railroad Administration Systems Support Division RRS-22 personal communication 1990-94 Ibid Accident Incident Bulletin (Washington DC Annual issues) tables 7 and 9 1995-2005 Ibid Interim Railroad Safety Statistics Annual Report 2005 (Washington DC 2005) table 1-3 and similar tables in earlier editions 2006 Ibid Office of Safety Analysis table 408 at httpsafetydatafradotgovOfficeofSafetyDefaultasp as of Dec 12 2007

f Amtrak data in this column are for 1972 Amtraks first full year of operation

NOTE Amtrak figures are based on Amtrak fiscal year (October 1-September 30)

SOURCES (Unless otherwise noted refer to chapter tables for sources)

1 Association of American Railroads Railroad Facts 2006 (Washington DC 2004) pp 3 9 10 27 33 34 36 40 49 52 77 and similar pages in earlier issues

5 1980-90 Amtrak Route Miles by Railroad Corp Planning amp Development 1994-2001 Amtrak National Railroad Passenger Corporation Annual Report Statistical Appendix to Amtrak Annual Report Annual issues 2002-05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 776 1980-2001 Association of American Railroads Analysis of Class 1 Railroads (Washington DC Annual issues) 2002-04 Ibid Railroad Ten-Year Trends (Washington DC 2005) pp 119 and 121 personal communication Feb 16 2005

7 1970-90 Amtrak Train Information System Reports 1994-99 Amtrak Corporate Reporting Route Profitability System Washington DC personal communication August 2001 2000-05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier issues

8 Amtrak General Accounting Pennsylvania personal communication June 1999 2002-05 Amtrak personal communications Dec 9 2005 and Dec 19 2007

2 1970-2006 Amtrak National Railroad Passenger Corporation Annual Report Statistical Appendix to Amtrak Annual Report Annual issues3 1970-80 Amtrak National Railroad Passenger Corporation Annual Report 1972 1980 1990 and 1993-95 1990-2000 Ibid National Railroad Passenger Corporation Annual Report Statistical Appendix to Amtrak Annual Report Annual issues 2001-05 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p774 1970-90 Amtrak Public Affairs personal communication 1994-1997 Ibid National Railroad Passenger Corporation Annual Report 1972 1980 1990 and 1993-95 1998-2005 Association of American Railroads Railroad Facts 2006 (Washington DC 2006) p 77 and similar pages in earlier issues

c Data for 2003 indicates operating revenues and expenses instead of total revenues and expenses the data source has changedd Safety figures from US Department of Transportation Federal Railroad Administration are for all railroadse Figures may not appear directly in data source

KEY kWh = kilowatt-hour N = data do not exist R = revised U = data are not available

a Excluding Amtrak and all non-Class I railroads except for Section IVb Operating expenses include equipment joint facility rents leased roads and equipment and all taxes except Federal income

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues ($ millions)1

Domestic freight total 1722 2070 7219 7940 7745 7712 7283 6940 6824 6795 6930 6235 U U U U UCoastal waterways 747 834 3155 3066 2929 2774 2571 2169 1952 1828 1817 1784 U U U U UInland waterways 461 621 2395 2956 2868 2964 2861 2899 2904 2811 2960 2894 U U U U UGreat Lakes 227 239 513 615 577 585 572 615 610 549 556 486 U U U U ULocks channels 287 376 1156 1303 1371 1389 1279 1257 1358 1607 1597 1071 U U U U U

International freighta 1765 3187 8279 12181 13405 14997 17281 14091 15679 17699 21740 21397 U U U U UPassenger total 281 287 310 1391 1564 1716 1843 1974 2029 2088 4663 4187 U U U U U

Domestic passenger intercity 14 12 27 100 121 129 140 141 146 152 156 144 U U U U UInternational passengerb 267 275 283 1291 1443 2026 1703 1833 1883 1936 4507 4043 U U U U U

Revenues of US commercial fishing fleet-domestic landings ($ millions)2 354 613 2237 3522 3809 3770 3487 3448 3128 3467 3549 3228 3092 (R) 3348 3756 3942 3993INVENTORYNumber of domestic inland vessel operatorsc 3 228 380 403 565 555 557 554 U U U U U U U U U UNumber of employees4

Ships boat building and repairingd 141200 171800 220500 187700 158200 159600 158800 158300 166600 167400 167900 161100 146810 145350 149160 153170 152650Water transportationd N 212300 211200 176600 172400 174500 174100 178700 181300 185500 193900 192400 145370 145400 145340 154980 160160Number of employeese f total5 49281 35000 19218 12132 11324 10303 9250 8937 8956 9036 U U U U U U U

Passenger combo 8560 2178 618 642 642 642 321 321 321 321 U U U U U U UCargo 28668 22257 9878 7019 6056 5400 4964 4831 4924 4757 U U U U U U UTankers 12053 10567 8722 4471 4626 4261 3965 3785 3711 3958 U U U U U U U

Mileage of commercially navigable channels1 25000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 26000 U U U U UNumber of vessels6

Total nonself-propelled 16777 19377 31662 31017 30723 31360 32811 33011 33509 33387 33152 33042 32381 31335 31296 32052 UDry cargo barges and scows 14025 15890 27426 27091 26723 27342 28743 29006 29526 29383 29107 28888 28281 27272 27197 27876 UTankers 2429 3281 4166 3913 3966 3985 4036 3971 3952 3973 4011 4122 4068 4031 4069 4151 URailroad car floats 323 206 70 13 34 33 32 34 31 31 34 32 32 32 30 25 U

Total self-propelled 6519 6447 7126 8236 8334 8281 8293 8408 8523 8379 8202 8546 8621 8648 8994 8976 UDry cargo passenger 1796 1761 2036 2678 2785 2804 2782 2905 2938 2910 2780 2697 2738 2765 2948 2967 UFerries railroad car 31 17 67 135 175 172 173 183 213 229 292 579 595 607 629 619 UTankers 489 421 330 213 195 178 161 147 135 142 135 120 108 104 103 100 UTowboats tugs 4203 4248 4693 5210 5179 5127 5177 5173 5237 5098 4995 5150 5180 5172 5314 5290 U

US merchant marine ships (over 1000 gross tons)Total U S flag7 2926 1579 864 636 543 509 495 477 470 463 454 443 426 (R) 418 412 U U

Passenger cargo 309 171 65 10 13 13 15 14 12 11 11 13 12 (R) 15 18 U UFreightersg 2138 1076 471 367 308 295 292 288 289 284 286 283 276 (R) 209 205 U UBulk carriers 57 38 20 26 22 20 15 14 15 14 15 17 18 (R) 20 20 U UTankers 422 294 308 233 200 181 173 161 154 154 142 130 120 (R) 109 104 U UPrivately owned 1008 U 578 408 354 319 302 285 281 277 U U U U U U UGovernment owned 1918 U 286 228 189 190 193 192 189 186 U U U U U U U

Number of recreational boats (thousands)h8 2500 7400 8578 10996 11430 11735 11878 12313 12566 12738 12782 12876 12854 12795 12781 12942 12746

Water Transport Profile

PERFORMANCETon-miles (thousands)i 9

Domestic water freight total N 596195000 921835800 833543800 814919200 807727700 764686500 707409900 672795300 655861500 645799300 621686200 612080500 606146300 621170 591277 UCoastwise N 359784000 631149200 479133600 457600700 440345100 408086100 349843000 314863900 292730000 283871600 274558800 263688200 278918700 279857 263464 UInternal N 155816000 227343000 292393300 297762400 306329100 296790600 294023000 294896400 304724100 302558400 294860900 293410300 278352300 284096 274367 ULakewise N 79416000 61747100 60929900 58263400 59703800 58335300 62165900 61654300 57045200 57879100 50853500 53652900 47539400 55733 51924 UIntraport N 1179000 1596400 1087000 1292700 1349600 1474500 1378100 1380700 1362200 1490200 1413000 1329000 1335900 1484 1521 U

Tons of freight hauled (thousands) 9

Domestic total 760573 950727 1077483 1122299 1099011 1093035 1100679 1112527 1094112 1061787 1069798 1042472 1021001 1016136 1047088 1028910 UCoastwise 209197 238440 329609 298637 277029 266612 267389 263146 249633 228802 226938 223606 216396 223458 220557 213668 UInternal 291057 472123 534979 622595 618409 620324 622081 630558 625028 624575 628445 619784 608038 609598 626598 623980 ULakewise 155109 157059 115124 110159 114777 116127 114870 122734 122156 113887 114352 100002 101466 89776 103533 96226 UIntraport 104193 81475 94184 86378 82870 83104 89011 89816 90077 88650 94558 93222 90004 86909 91267 90166 UIntraterritory 1017 1630 3588 4529 5926 6868 7327 6273 7217 5873 5505 5858 5097 6395 5484 4871 U

Exports total 127961 241629 403883 441586 396246 474700 450794 432313 404708 399996 415042 399011 384350 373324 415786 401827 UGreat Lakes ports 23150 35932 45077 32898 27108 32968 31855 33209 36876 40233 40131 40519 38066 32943 36090 37291 UCoastal ports 104810 205698 358806 408688 369138 441732 418940 399104 367831 359763 374911 358491 346284 340381 379697 364536 U

Imports total 211316 339340 517521 599970 719497 672657 732592 788303 840680 860775 939749 951815 934941 1004791 1089065 1096885 UGreat Lakes ports 12851 26406 15515 17558 23028 18897 24503 24532 25558 22196 23917 21391 21548 23336 26086 24114 UCoastal ports 198466 312934 502006 582412 696469 653760 708090 763771 815122 838579 915832 929794 929794 981455 1062979 1072771 U

Average haul domestic system (miles)i 9

Coastwise 1496 1509 1915 1604 1652 1652 1526 1330 1261 1279 1251 1228 1219 1248 1269 1233 UInternal 282 330 405 470 482 494 477 466 472 488 481 476 483 457 454 440 ULakewise 522 506 536 553 508 514 508 507 505 501 506 509 529 530 538 540 U

Cargo capacity (short tons)6

Total nonself-propelled vessels 16355657 24026024 44875116 (R) 49066020 49708960 (R) 51254259 54086973 54974961 55999952 56468065 56581364 57341226 56721816 55053776 55527696 57035748 UDry cargo barges 12147006 17695275 34486851 38189490 38643518 39971443 42748644 43710093 44718691 45049209 44814696 45281492 44688157 43094911 43282387 44777151 UTankers 4208651 6330749 10388265 10757295 11065442 11169087 11338329 11264868 11281261 11418856 11678593 11957598 11925863 11860144 12158254 12172542 U

Total self-propelled vessels 15905881 19284050 23906346 19829011 16867458 15783399 14850253 14161739 12970167 13892574 13458519 12770889 12093812 11804878 12546796 12342584 UDry cargo passenger 12188956 10815977 8011587 7147054 7118193 6484707 6208011 6685719 6371425 6928684 6740153 6544807 6452715 6570281 7293500 6614973 UTankers 3716925 8468073 15894753 12681957 9749265 9298692 8642242 7476020 6598742 6963890 6718366 6226082 5641097 5234597 5253396 5727512 U

Fuel consumption (thousand barrels) total1 122014 123591 273380 232036 210650 225470 213721 187729 183856 208604 233227 U U U U U UDiesel fuel and distillate 18730 19503 35201 52310 48260 47098 51848 50180 50609 49157 53843 U U U U U UResidual fuel oil 94084 89850 213131 148764 141544 153125 138214 114044 110480 133301 152616 U U U U U UGasoline 9200 14238 25048 30962 20846 25247 23659 23505 22767 26146 26768 U U U U U U

SAFETYFatalities in waterborne transport (vessel casualties only) totalj10 N 178 206 85 77 52 55 48 67 51 45 31 61 54 48 45 48

Freight ship N 30 8 0 0 0 1 2 2 0 0 1 3 3 8 2 1Tank ship N 4 4 5 3 0 0 0 1 0 0 0 0 0 3 0 0Passenger vessel N 1 5 3 4 4 8 1 3 14 0 3 6 29 9 6 3Tug towboat N 22 14 13 1 1 1 3 0 5 0 4 8 0 1 10 6Offshore supply N N N 2 1 2 2 0 6 0 2 0 0 0 0 0 0Fishing vessel N 77 60 47 48 23 37 22 33 23 28 9 15 14 16 16 19Recreational vessel N N N 3 13 22 3 7 7 5 10 12 14 1 7 9 12MODU k N N N 0 0 0 0 4 0 0 0 1 0 2 1 0 1Platform N N N 1 U U U U U 0 0 0 0 U U U UFreight barge N N N 0 2 0 0 2 1 0 1 0 0 0 1 1 2Tank barge N N N 0 0 0 0 0 0 1 0 1 0 2 0 0 0Miscellaneous N 44 56 11 5 0 3 7 14 3 4 0 2 0 0 1 2

Injuries in waterborne transport totalj10 N 105 180 175 180 152 229 119 130 136 131 185 187 255 228 140 177Freight ship N 14 8 10 6 1 7 3 3 2 4 2 7 12 7 12 19Tank ship N 19 9 13 10 8 1 5 6 5 3 3 0 3 7 3 2Passenger vessel N 10 10 51 43 47 142 36 39 71 50 109 57 140 81 58 63Tug towboat N 10 27 19 19 19 16 21 12 13 10 18 17 12 27 20 22Offshore supply N N N 9 2 10 7 3 5 1 5 13 0 5 5 1 6Fishing vessel N 13 28 31 55 41 36 25 35 19 24 15 41 29 37 29 33Recreational vessel N N N 2 17 20 9 6 9 11 26 15 14 11 37 8 13MODU k N N N 13 0 0 0 3 0 2 0 3 0 19 3 2 2Platform N N N 9 U U U U U 1 1 0 0 U U U UFreight barge N N N 3 4 0 0 5 1 0 2 0 0 0 4 0 0Tank barge N N N 3 3 5 2 0 0 2 0 2 0 2 3 1 0Miscellaneous N N 98 12 21 1 9 12 20 9 6 5 9 14 7 3 6

Fatalities in recreational boating (vessel casualties only) total 8 739 1418 1360 865 748 829 709 821 815 734 701 681 750 703 676 697 710

Air thrust N N N N N 4 1 6 11 2 4 2 1 6 4 3 3Propeller N N N N N 475 363 436 462 421 439 326 506 421 433 355 438

Inboard N 119 100 50 36 N N N N 50 48 34 60 40 39 24 39Outboard N 774 609 454 341 N N N N 326 328 245 372 320 322 259 301Inboard outboard N 28 47 53 49 N N N N 35 49 32 47 47 43 61 69

Jet N N 10 25 58 68 61 83 82 75 70 45 75 66 65 72 74Sail N 44 43 20 13 4 8 15 5 7 14 19 3 7 11 21 11Manual (oars paddle) N 205 272 182 140 148 109 150 151 114 137 144 107 113 130 134 135Other N 29 14 5 12 8 8 10 0 0 0 0 0 0 0 1 1Propulsion unknown N 219 265 76 135 122 159 121 104 115 37 145 58 90 33 111 48

KEY N = data do not exist R = revised U = data are not available

c Does not include vessel operators whose primary area of operation is fishing towing passenger transport ferrying or crew boat utility service

a The international water freight operating revenues data was revised in Transportation in America 1998 for all years except 1994 and 1996 Therefore the international water freight data for years 1994 and 1996 may not be comparable to other yearsb Revenues paid by American travelers to US and foreign flag carriers

d Data for 2002 is based on new NAICS classifications and therefore comparisons between 2002 data and data for prior years may be misleading Prior to 2002 water transportation was calculated based on SIC classifications and included commercial port marina and other employees excluding employees of not-for-hire private businesses Data for water transportation in 2002 includes NAICS categories 483100 483200 488300 Data for ships boat building and repairing is based on the NAICS category 336600

e Estimate based on established active jobs for licensed and unlicensed personnel aboard oceangoing ships of 1000 gross-tons and over privately owned and operated government-owned ships under bare boat charters ship managers and General Agency Agreement supplemented by Military Sealift Command employment totals for ships with Civil Service crewsf Data is current as of January 1 of the following year with the exception of 1999 data which is current as of Apr 1 1999 Due to a change in the sources periodicity the data for 1999 is not comparable to the data from years prior to 1999g Freighters data include bulk carriers prior to calendar year 1983h The US Coast Guard changed its methodology for counting the number of recreational boats Figures cited represent number of numbered boats not estimates as previously noted for 1960 and 1970i Does not include intraterritorial traffic (traffic between ports in Puerto Rico and the Virgin Islands which are considered a single unit)j 1992-2002 data come from the Marine Safety Management Information System Data for prior years may not be directly comparable Beginning in 2000 numbers may not add to totals because data is now recorded in a new information system known as MISLE which does not associate every fatality and injury with a specific vessel k Mobile Offshore Drilling Units

SOURCESUnless otherwise noted refer to chapter tables for sources

1 Eno Transportation Foundation Inc Transportation in America 2002 (Washington DC 2002) pp 38 40 51 and 58

10 1970-A321990 US Coast Guard Office of Investigations and Analysis G-MAO-2 personal communication 1994-2006 Ibid Data Administration Division (G-MRI-1) personal communication Feb 13 2002 July 2 2003 and August 29 2007

2 US Department of Commerce National Marine Fisheries Services Fisheries of the United States (Silver Spring MD Annual issues) p 4 and similar pages in earlier editions3 US Department of Transportation Maritime Administration MAR-450 personal communication4 1960-1990 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-1994 (Washington DC September 1994) and 1988-1996 (Washington DC August 1996) SICs 373 and 44 1994-2006 Ibid Internet website httpwwwblsgov as of November 2007 5 US Department of Transportation Maritime Administration US Merchant Marine Data Sheet (Washington DC Annual issues)6 1960-1998 US Army Corps of Engineers Summary of US Flag Passenger amp Cargo Vessels (New Orleans LA Annual issues) 1999-2005 Ibid Waterborne Transportation Lines of the United States (New Orleans LA Annual issues) part 1 section 1 table 1 and 27 US Department of Transportation Maritime Administration Merchant Fleets of the World (Washington DC Annual issues) and unpublished revisions8 US Coast Guard Boating Statistics (Washington DC Annual issues)9 US Army Corps of Engineers Waterborne Commerce of the United States (New Orleans LA Annual issues) part 5 section 1 tables 2 3 and 4

FINANCIAL 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006Operating revenues total ($ millions) 1 895 1396 7548 8506 8676 9077 8637 8632 8579 9067 8958 9066 U U U U U

FERC-regulated 770 1188 6340 7164 7353 7751 7310 7278 7212 7645 7551 7649 U U U U UNonregulated 125 208 1208 1342 1323 1326 1327 1354 1367 1422 1407 1417 U U U U U

INVENTORYNumber of FERC-regulated companies 2 87 101 130 150 158 161 160 U U 184 U U U 195 195 197 UNumber of employees pipeline companies a 3 23100 17600 21300 18500 17100 15100 14500 14200 13800 13060 13230 13680 12360 12500 12840 13040 12770Miles of pipeline (statute miles)b all lines 4 190944 218671 218393 208752 190350 181912 177535 179873 178648 177463 176996 U U U U U U

Crude lines 141085 146275 129831 118805 103277 97029 92610 91523 87663 86369 85480 U U U U U UProduct lines 49859 72396 88562 89947 87073 84883 84925 88350 90985 91094 91516 U U U U U U

PERFORMANCEIntercity ton-miles total (millions) 5 229000 431000 588200 584100 591400 601100 619200 616500 619800 617700 577300 576100 586200 590200 599600 U U

Crude oil N N 362600 334800 322600 335900 338300 337400 334100 321100 283400 277000 286600 284500 283700 U UPetroleum products N N 225600 249300 268800 265200 280900 279100 285700 296600 293900 299100 299600 305700 315900 U U

Tons transported (millions) 5 4680 7902 9210 10574 10636 10743 11141 11080 11163 11252 11468 11234 U U U U UAverage length of haul (statute miles) U U U U U

Crude oil 6 325 300 871 812 778 797 779 781 767 766 U U U U U U UPetroleum products 6 269 357 414 387 414 402 413 413 420 418 U U U U U U U

SAFETY 7

Fatalities N 4 4 3 1 3 5 0 2 4 1 0 1 0 5 2 0Injured persons N 21 15 7 c 7 11 13 5 6 20 4 10 0 5 16 2 2Incidents N 351 246 180 245 188 194 171 153 167 146 130 147 131 144 (R) 138 110

Oil Pipeline Profile

2003 Ibid Internet site wwwfercgovindustriesoilgen-inforeg-centralasp as of Aug 26 2004 2004 Ibid Internet site wwwfercgovindustriesoilgen-inforeg-centralasp as of Mar 16 20052005 Ibid Internet site wwwfercgovindustriesoilgen-inforeg-centralasp as of Oct 27 2006

KEY FERC = Federal Energy Regulatory Commission N = data do not exist R = revised U = data are not availablea Includes companies whose pipelines carry crude petroleum petroleum products and nonpetroleum pipeline liquidsb Regulated plus unregulated mileage of crude oil trunk and gathering lines plus refined oil trunk linesc Does not include the 1851 injuries that required medical treatment caused by severe flooding near Houston Texas reportedfor October 1994

2 1960-96 Federal Energy Regulatory Commission personal communication 1999 Ibid Internet site wwwfercfedusoiloil_listhtm as of June 21 2001

NOTEThe Interstate Commerce Committee regulated oil pipelines in the 1960s and 1970s

SOURCES1 Eno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) pp 38 and 39 and similar tables in earlier editions

3 1960-80 US Department of Labor Bureau of Labor Statistics Employment Hours and Earnings United States 1909-94 (Washington DC September 1994) SIC 46 1990-1994 Ibid Hours and Earnings United States 1988-1996 (Washington DC July 1996) SIC 461995-98 Ibid Internet site wwwblsgov SIC 46 as of Apr 19 19991999-2001 Ibid Internet site wwwblsgovoes SIC 46 as of June 30 20032002-03 Ibid Internet site wwwblsgovoes NAICS 486100 and NAICS 486900 as of Mar 16 20052004-06 Ibid Internet site wwwblsgovoes NAICS 486100 and NAICS 486900 as of Oct 26 20074 Eno Transportation Foundation Inc Transportation In America 2002 (Washington DC 2002) pp 58 and 59 and similar tables in earlier editions5 1960-70 Ibid Transportation in America 1998 (Washington DC 1998) p 44 and Transportation in America Supplement 1999 (Washington DC 1999) 1980-98 Ibid Transpotation in America 2002 (Washington DC 2002) p 53 and similar tables in earlier editions1999-2004 Association of Oil Pipe Lines Shifts in Petroleum Transportation (Washington DC 2004) Internet site httpwwwaoplorgpubsfactshtml as of Oct 27 2006

FINANCIAL ($ millions) 1960 1970 1980 1990 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005Transmission pipeline companies 1

Total operating revenues 3190 5928 41604 21756 13841 12092 12050 10339 9450 9555 10404 10257 10096 10892 11313 16547Total operating expensesa 2698 5088 39709 19484 11333 9534 9603 7862 6875 6897 7856 7296 7369 7822 8284 10336

Operation and maintenance 2095 4203 36480 17058 8389 6680 6802 5381 4260 4148 5172 4198 4294 4341 4503 6624Operation expenses 2031 4094 36075 16429 7811 6121 6314 4975 3909 3823 4880 3850 3971 3997 4130 6077Maintenance expenses 64 109 405 629 578 558 488 406 351 325 292 347 322 344 373 548

Taxes (federal state local)b 319 376 1991 1245 1757 1582 1643 1531 1560 1645 1570 1859 1773 2088 2302 2861Federal taxes 223 202 1327 768 1172 1048 1085 1076 1035 1109 1029 1249 1243 1603 1701 2048State and local taxes 96 174 664 477 585 534 558 455 525 536 541 610 530 485 601 813

Distribution pipeline companies 2

Total operating revenues N N 14013 18750 20911 19421 30407 30864 28182 28135 34696 39179 31210 38199 (R) 40410 48957Total operating expensesa N N 13263 17125 19025 17402 27917 27445 25668 24564 32103 36450 28266 35113 (R) 37330 44800

Operation and maintenance N N 11791 14544 15868 14170 23301 23155 21396 20226 27093 31486 23655 29994 (R) 32149 40099Operation expenses N N 11539 14020 15279 13575 22433 22388 20710 18270 26271 30776 22902 29236 (R) 31355 39236Maintenance expenses N N 252 524 589 596 868 767 687 1956 821 710 753 757 (R) 794 862

Taxes (federal state local)b N N 1136 1625 1931 1888 2668 2415 2524 2355 2916 2908 2437 2914 (R) 2901 3222Federal taxes N N 351 580 703 720 1041 849 1250 883 1033 1216 891 1108 (R) 1096 1075State and local taxes N N 785 1045 1228 1168 1627 1566 1274 1472 1883 1692 1546 1806 (R) 1805 2147

Investor-owned total industry c 3 Total operating revenues N N 85918 66027 63446 58435 63600 62660 57548 59142 72075 79276 68594 75567 (R) 80331 102062Total operating expensesa N N 81789 60137 56789 50594 56695 55422 51075 51331 64961 71011 59839 66623 (R) 71699 89334

Operation and maintenance N N 74508 51628 45953 40041 45785 44851 41360 41415 54630 58908 48675 55067 (R) 59952 77710Operation expenses N N 73288 49718 43879 37998 43742 43258 39971 38752 53138 57184 47037 53477 (R) 58277 75725Maintenance expenses N N 1220 1910 2074 2043 2043 1593 1390 2664 1492 1722 1637 1590 (R) 1675 1985

Taxes (federal state local)b N N 4847 4957 6603 5981 6362 6384 5293 5605 6106 7201 5870 6493 (R) 6420 7421Federal taxes N N 2327 2038 3112 2511 2932 3066 2631 2626 2690 3133 2624 3315 (R) 3188 3643State and local taxes N N 2520 2919 3491 3470 3430 3318 2662 2979 3416 4068 3246 3178 (R) 3232 3778

INVENTORYPipeline mileage total 4 630950 913267 1051774 1189200 1288400 1277600 1323600 1331800 1351200 1340300 1369300 1373500 1411381 1424177 1462349 1457438

Transmission 183700 252200 266500 292200 301500 296900 292200 294000 300100 301000 296600 287100 309503 303999 298851 296377Distribution 391400 594800 701800 864600 955600 949800 1001800 1003100 1022100 1007500 1045600 1066300 1079565 1097870 1139756 1117784Field and gathering 55800 66300 83500 32400 31300 30900 29600 34700 29000 31800 27100 20100 22313 22308 23742 23297

Number of employees 5

Gas utility industry totals 206400 211700 215400 204200 187200 179000 179000 154600 154200 143600 135600 135000 140000 129000 130000 131000Investor-owned companiesd total N N 202700 192100 175700 168900 163400 145400 142400 133100 125100 123000 123000 114000 111000 119000

Transmission pipeline companies 31400 32400 45200 37400 31000 28000 32300 27500 28400 29400 26400 26000 26000 25000 25000 25000Distribution pipeline companies N N 52100 64700 62400 61600 79700 75000 71300 71400 69500 53000 55000 51000 51000 51000Integrated pipeline companies N N 53200 39900 39400 36400 12700 12300 12000 6200 6000 5000 6000 5000 4000 4000Combination pipeline companies N N 52200 50100 42900 42900 38700 30600 30700 26100 23200 39000 36000 33000 31000 39000

Number of interstate natural gas pipeline companies e 6 87 89 91 132 79 92 84 101 97 U U U U U U UPERFORMANCE (million cubic ft) 7

Marketed production total 12771038 21920642 20179724 18593792 19709525 19506474 19812241 19866093 19961348 19804848 20197511 20570295 19884780 19974360 (R) 19517491 18950734Delivered to consumers total 10382681 19018462 18216233 16818882 18898635 19660161 20005508 20781554 20437798 20680843 21539964 20495108 21227012 20562727 (R) 20724883 20544907Consumed total 11966537 21139386 19877293 18715090 20707717 21580665 21966616 22736203 22245956 22405151 23333121 22238624 23007014 22276502 (R) 22388975 22241202Gas used as a pipeline fuel total 347075 722166 634622 659816 685362 700335 711446 751470 635477 645319 642210 624964 666920 591492 (R) 566187 584779SAFETY 8

Fatalities N 26 15 6 21 18 48 10 19 18 37 7 11 12 18 14Injured persons N 233 177 69 113 53 114 72 75 88 77 51 49 (R) 66 44 45Incidents N 1077 1524 198 222 161 187 175 236 172 234 211 (R) 184 (R) 239 (R) 299 351KEY N = data do not exist R = revised U = data are not available

Natural Gas Pipeline Profile

NOTES

7 1960-95 US Department of Energy Energy Information Administration Natural Gas Annual 1998 (Washington DC October 1999) table 98 1996-2004 Ibid Natural Gas Annual 2004 (Washington DC 2005) table 1 Internet website httpwwweiadoegovoil_gasnatural_gasdata_publicationsnatural_gas_annualngahtml as of Sept 26 2007

1 1960-70 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 134 1980-2005 Ibid Gas Facts 2006 (Washington DC 2007) table 11-2 and similar tables in earlier editions2 1980 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 134 1990-2005 Ibid Gas Facts 2006 (Washington DC 2007) table 11-1 and similar tables in earlier editions

5 1960-80 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 153 1990-2005 Ibid Gas Facts 2006 (Washington DC 2007) table 13-2 and similar tables in earlier editions6 1960-90 US Department of Energy Energy Information Administration Statistics of Interstate Natural Gas Pipeline Companies (Washington DC Annual issues) preface 1991-98 Federal Energy Regulatory Commission FERC Automated System for Tariff Retrieval (FASTR database) Internet website httpwwwfercgovindustriesgasgen-infofastrindexasp as of Feb 18 2004

a Does not add due to omission of line from source table for depreciation and other noncash expensesb Figures obtained by addition subtraction and may not appear directly in data sourcec Industry total includes integrated and combination company totals in addition to distribution and transmission company totalsd Number of employees in investor-owned companies is the sum of employees in distribution transmission integrated and combination companies e Beginning in 1991 the number of interstate natural gas pipeline companies is calculated using the Federal Energy Regulatory Commissions FASTR database which contains a listing by year of pipeline companies that are regulated and therefore required to pay tariff duties to the federal government Data for the years prior to 1991 were collected from the Energy Information Administrations discontinued publication Statistics of Interstate Natural Gas Pipeline Companies Data from the two sources may not be comparable

8 US Department of Transportation Pipeline and Hazardous Materials Safety Administration Office of Pipeline Safety Internet website httpopsdotgovstatshtm as of Sept 26 2007

Numbers may not add to totals due to roundingGas utility industry totals include employees of privately owned companies

SOURCES

3 1980-2005 American Gas Association Gas Facts 2006 (Washington DC 2007) tables 11-1 11-2 11-3 and 11-4 and similar tables in earlier editions4 1960-70 American Gas Association Gas Facts 1979 (Arlington VA 1980) table 44 1980-2005 Ibid Gas Facts 2006 (Washington DC 2007) tables 5-1 5-3 and similar tables in earlier editions

appendix e

Source andAccuracy Statements

Appendix E Data Source and Accuracy Statements

Data Source and Accuracy Statements

Chapter 1 Extent Condition and Performance

TABLE 1-1 System Mileage Within the United States

HighwayThe Highway Performance Monitoring System

(HPMS) is the source of road mileage data and isconsidered reliable (See box 1-1 for detailed infor-mation about the HPMS) The Federal HighwayAdministration (FHWA) of the US Department ofTransportation (USDOT) collects and reviewsstate-reported HPMS data for completeness con-sistency and adherence to specifications Someinaccuracy may arise from variations across statesin their adherence to federal guidelines in the Traf-fic Monitoring Guide and the Highway Perfor-mance Monitoring System Field Manual for theContinuing Analytical and Statistical Database

Beginning with the 1997 issue of Highway Statis-tics FHWA instituted a new method for creatingmileage-based tables derived from the HPMS Previ-ously adjustments to tables developed from sampledata were made using area-wide mileage informa-tion provided by states These adjustments are nowbeing made using universe totals from the HPMSdataset In addition FHWA has discontinued theprocess of spreading rounding and other differencesacross table cells Thus users may note minor differ-ences in table-to-table totals FHWA considers mile-age totals from table HM-20 ldquoPublic Road LengthMiles by Functional Systemrdquo to be the controllingtotals should a single value be required

Reliability may be diminished for comparisonswith pre-1980 data which were collected via dif-ferent methods and special national studies Forinstance pre-1980 mileage data included somenonpublic roadways (95000 miles in 1979) whilepost-1980 data reports only public road mileage

(roads or streets governed and maintained by apublic authority and open to public travel)

Class I RailThese data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percent report-ing by Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1Annual Report The STB defines Class I railroadsas having operating revenues at or above a thresh-old indexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 1999 the adjustedthreshold for Class I railroads was $2585 millionDeclassification from Class I status occurs when arailroad falls below the applicable threshold forthree consecutive years Although Class I railroadsencompasses only 2 percent of the number of rail-roads in the country they account for over 71 per-cent of the industrys mileage operated

To obtain railway mileage AAR subtracts track-age rights from miles of rail traveled on line 57 inthe Schedule 700 report Historical reliability mayvary due to changes in the railroad industry includ-ing bankruptcies mergers and declassification bythe STB Small data errors may also exist becauseof because of independent rounding of this seriesby AAR

AmtrakThese statistics originate from the Statistical

Appendix to Amtrakrsquos Annual Report Amtrakestimates track mileage based on point-to-pointcity timetables that railroad companies provide forengineers The figures are estimates but are consid-ered reliable

Appendix E Data Source and Accuracy Statements

Box 1-1 Highway Performance Monitoring System

Sampling Frame ConstructionThe Highway Performance Monitoring System (HPMS) sample is a stratified simple random sample of highway links

(small sections of roadway) selected from state inventory files The 1997 sample consists of about 120000 samples Eachstate maintains an independent inventory of highway road links for those roads that the state is responsible for (in somecases this can be a low percentage of total road miles within the state) Lower jurisdictions (MPOrsquos counties citiesnational parks Indian reservations etc) may also maintain inventories of highway links under their jurisdiction The HPMSsample was originally selected in 1978 based on guidelines provided by the FHWA for sampling highway systems exclud-ing those roads functionally classified as local The sampling frame for the state systems were the state inventories Theestimates represent the highway systems of each state The HPMS sample was designed as a fixed sample to minimizedata collection costs but adjustments to maintain representativeness are carried out periodically The HPMS also consistsof universe reporting (a complete census) for the Interstate and the National Highway System and tabular summaryreporting of limited information A small number of data items (about 30) are reported for the complete universe The uni-verse information contains no sampling error There are 4 tables reported as part of the summary

StratificationThe HPMS sample (and universe) is stratified by state type of area (rural urban and individual urbanized areas)

highway functional classification and traffic (annual average daily traffic (AADT) volume groups) Complete informationis provided in the HPMS Field Manual

WeightingThe HPMS sample expansion factors are the ratio of universe mileage to sample mileage in each strata

Data CollectionData are collected independently by the 50 states metropolitan planning organizations (MPOs) and lower jurisdic-

tions Many of the geometric data items rarely change such as number of lanes Others change frequently such as traf-fic Typically the states maintain data inventories that are the repositories of a wide variety of data items The HPMSdata items are extracted from these inventories For example each State has a traffic volume counting program Typi-cally equipment is installed or placed on the roads to measure traffic The counts are then converted to annual averagedaily traffic (AADT) and stored in the state databases AADT is one of the sample and universe items extracted from theinventories and reported to the HPMS The FHWA provides guidelines for data collection in the HPMS Field Manualwhich the states follow to varying extents depending on issues such as staff resources state perspective uses of thedata stateMPOlocal needs for data etc Traffic data collection for example is an expensive and dangerous undertak-ing particularly in high volume urban areas

State departments of transportation report HPMS data annually to the FHWA There are about 80 data itemsreported for the sample component The reporting deadline is June 15 Except for special cases where major problemsoccur data items are reported for each sample There is no provision for nonresponse since a number is available foreach section in the state inventories however states do leave items blank to indicate that no data collection has takenplace for a specific item (eg if no system to measure pavement has been implemented in the state the pavement con-dition item may be left blank) The HPMS has gone through a major restructuring effort and major data item reductionsmodifications and other changes will begin to be implemented with the 1999 data reported by June 15 2000

Sampling ErrorThe sample size is estimated based on traffic volume (AADT) within each stratum Traffic volume is the most vari-

able data item Sampling error can be estimated directly based on the sample design for each stratum and aggregatedby stratified random sample methods to total values This exercise was done originally in 1980 for some of the mostvariable data items including vehicle-miles traveled It has not been repeated since due to the work involved and the lim-ited impact of sampling error as compared to nonsampling error

Appendix E Data Source and Accuracy Statements

TransitThese data are based on information in the US

Department of Transportation Federal TransitAdministration (FTA) National Transit Database(NTD) The legislative requirement for the NTD isfound in Title 49 USC 5335(a) Transit agenciesreceiving funds through the Urbanized Area For-mula Program are generally required to report finan-cial and operating data including vehicle inventoriesand directly operated mileage Transit operators thatdo not report to FTA are those that do not receiveUrbanized Area Formula Funding typically privatesmall and rural operators The data are generallyconsidered accurate because FTA reviews and vali-dates information submitted by individual transitagencies Reliability may vary because some transitagencies cannot obtain accurate information or maymisinterpret certain data definitions

Navigable ChannelsThese statistics originate from a mid-1950s US

Army Corps of Engineers (USACE) estimate thatthere were approximately 25000 miles of commer-cially important navigable channels in the UnitedStates That number has been adjusted from timeto time for example by addition of the 234-mileTennessee-Tombigbee Waterway in the early1980s The 25000 plus mile number has been uni-versally quoted for decades but has definitional

and methodological uncertainties USACE is cur-rently developing a rigorous Global InformationSystem (GIS)-based approach to facilitate tabula-tion of the lengths of shallow and deep-draft com-mercially navigable waterways in the United Statesthis calculation will be available in several years

Oil PipelineThe data are from Transportation in America

published by the Eno Transportation FoundationInc (Eno) The numbers reprinted here for 19601965 1970 and 1975 are Eno estimates from theUS Department of Energy (DOE) Energy DataReport issues labeled ldquoCrude-oil and Refined Prod-ucts Mileage in the United Statesrdquo Eno estimatedthe 1980 number based on the assumption thatrefinement of old less profitable and smaller linesexceeded in mileage the construction of new largerand more profitable lines Post-1985 data were cal-culated using a base figure reported in a 1982USDOT study entitled Liquid Pipeline Directorand then combined with data from the Associationof Oil Pipe Lines and the Oil Pipeline ResearchInstitute Lack of additional information raises def-initional and methodological uncertainties for thedatarsquos reliability Moreover the three differentinformation sources introduce data discontinui-ties making time comparisons unreliable

Nonsampling ErrorThis is a major item of concern for the HPMS For some of the most variable and important data items such as AADT

guidelines for measurement and data collection have been produced States have the option of using the guidelines orusing their own procedures Many data items are difficult and costly to collect and are reported as estimates not based ondirect measurement The data are collected and reported by many entities and individuals within the responsible organiza-tions Most do a reasonably good job but staff turnover cost equipment issues etc can create difficulties identifying dataproblems As mentioned before a response is usually provided for each link as included in state inventories For highwaylinks not the responsibility of states metropolitan planning organizations and lower jurisdictions using a wide variety ofmethods may collect the data This is a major area of concern and efforts are underway within States to standardize datacollection The major effort with the HPMS is to ensure the collection and reporting of reliable annual data The FHWA fieldoffices in each state conduct annual verification of the data reported Computer software is provided to build the databaseand conduct logic edits prior to submittal The reported data are subjected to intense editing and comparison with previousreporting and a written annual report is provided to each state to document problems found and encourage correctionData resubmittal is requested in cases where major problems are found The process involves many people and substantialresources but it provides extensive quality assurance Complete information on data items edits processing expansionsample design definitions data reporting etc is included in the HPMS Field Manual

Appendix E Data Source and Accuracy Statements

Gas PipelineThese statistics originate from annual editions of

Gas Facts published by the American Gas Associa-tion (AGA) The data reported by the AGA arebased on gas utilities participation and reporting tothe Uniform Statistical Report Utilities reportingrepresented 98 percent of gas utility industry saleswhile the remaining 2 percent was estimated fornonreporting companies based on recent historicalexperience Varying percentages of nonreportersfrom year to year introduce minor reliability prob-lems for time-series comparisons

TABLE 1-2 Number of Air Carriers Railroads Interstate Motor Carriers Marine Operators and Pipeline Operators

Air CarriersThe data are from the Air Carrier Financial Sta-

tistics Quarterly published by the Office of AirlineInformation of the US Department of Transporta-tion Bureau of Transportation Statistics (BTS)The Alphabetical List of Air Carriers by CarrierGroup at the beginning of each fourth quarter edi-tion is used to determine the number of major aircarriers and other air carriers in operation at theend of each calendar year The publication drawsits data from the T-100 and T-100(f) databasesmaintained by BTS These databases include dataobtained from a 100-percent census of BTS Form41 schedule submissions by large certificated aircarriers which are carriers that hold a certificateissued under section 401 of the Federal AviationAct of 1958 and that (1) operate aircraft designedto have a maximum passenger seating capacity ofmore than 60 seats or a maximum payload capac-ity of more than 18000 pounds or (2) that conductinternational operations Carriers are grouped asmajor national large regional or medium regionalbased on their annual operating revenues Thethresholds were last adjusted July 1 1999 and thethreshold for major air carriers is currently $1 bil-lion The table combines the number of nationallarge regional and medium regional air carriersinto the other air carrier category

RailroadsThe Association of American Railroads (AAR)rsquos

Railroad Ten-Year Trends series is the source for

the number of railroads The number of Class Irailroads is based on 100-percent reporting byClass I railroads to the Surface TransportationBoard (STB) via Schedule 700 of the R1 AnnualReport The STB defines Class I railroads as havingoperating revenues at or above a threshold indexedto a base of $250 million (1991) and adjustedannually in concert with changes in the RailroadFreight Rate Index published by the Bureau ofLabor Statistics In 2000 the adjusted threshold forClass I railroads was $2619 million Declassifica-tion from Class I status occurs when a railroad fallsbelow the applicable threshold for three consecu-tive years Although Class I railroads encompassesonly 1 percent of the number of railroads in thecountry they account for over 71 percent of theindustrys mileage operated

The Association of American Railroads deter-mines the number of non-Class I railroads throughan annual survey sent to every US freight railroadBy following up with nonrespondents the AARobtains essentially a census of railroads Use of thecurrent survey instrument began in 1986

Interstate Motor CarriersThe Motor Carrier Management Information Sys-

tem (MCMIS) maintained by the US Departmentof Transportation Federal Motor Carrier SafetyAdministration contains information on the safetyof all commercial interstate motor carriers and haz-ardous material (HM) shippers subject to the Fed-eral Motor Carrier Safety Regulations and theHazardous Materials Regulations All carriers oper-ating in interstate or foreign commerce within 90days of beginning operations must submit a FormMCS-150 Motor Carrier Identification ReportCarriers may also use the form to update their infor-mation The Motor Carrier Safety Improvement Actof 1999 requires that reports be periodicallyupdated but not more than once every two yearsMCMIS is updated as soon as information is pro-vided and verified and periodic archives are madeHistorical data are available from summary infor-mation previously prepared including tables andreports MCMIS began operations in 1980 Safetydata since 1990 are available to the public

Marine Vessel OperatorsThe US Army Corps of Engineers (USACE)

provides the data for marine vessel operators

Appendix E Data Source and Accuracy Statements

through the Waterborne Transportation Lines ofthe United States Data are collected by theUSACErsquos Navigation Data Center (NDC) by vari-ous means including the US Coast Guardrsquos regis-try maritime service directories and waterwaysector publications However an annual survey ofcompanies that operate inland waterway vessels isthe principle source of data More than 3000 sur-veys are sent to these companies and response ratesare typically above 90 percent However a USACEofficial did report that less than 10 percent of thetotal number of companies operating inland watervessels either did not receive or respond to theannual survey

Pipeline OperatorsThe Office of Pipeline Safety (OPS) in the US

Department of Transportationrsquos Research and Spe-cial Programs Administration collects annualreport data from natural gas transmission and dis-tribution operators as required by 49 CFR 19117and 19111 respectively Annual data must be sub-mitted by March 15 of the following calendar yearNo annual report is required for hazardous liquidpipeline operators However information is avail-able through the pipeline safety program Since1986 the program has been funded by feesassessed to each OPS-regulated pipeline operatorbased on per-mile of hazardous pipeline operatedData for each operator and each mile of pipelineare stored in the OPS user-fee database which isrevised annually as updated fees are assessed

Totals for pipeline operators in this table will dif-fer from those in other tables due to differences inthe regulatory authority of USDOT and the FederalEnergy Regulatory Commission (FERC) FERC reg-ulates only interstate pipelines whereas DOT regu-lates both interstate and intrastate pipelines exceptfor rural gathering lines and some offshore pipelineswhich fall under jurisdiction of the US CoastGuard or the US Department of the Interiorrsquos Min-erals Management Service An OPS official statedthat FERC regulates about two-thirds the amount ofpipeline mileage that USDOT regulates

TABLE 1-3 Number of US AirportsThe Federal Aviation Administration (FAA)

Office of Airport Safety and Standards Administra-torrsquos Fact Book (annual issues) furnished the datashown in this table and includes airports certified

for air carrier operations with aircraft that seat 30or more passengers These airports include civiland joint civil-military use airports heliportsSTOLports (short takeoff and landing) and sea-plane facilities The FAA obtained this data viaphysical inspections and mail solicitations of allfederally regulated landing facilities Since this is acensus of all US airports reliability should behigh Data however may be subject to reportingerrors typical of administrative recordkeeping

TABLE 1-4 Public Road and Street Mileage in the United States by Type of Surface

TABLE 1-5 US Public Road and Street Mileage by Functional System

TABLE 1-6 Estimated US Roadway Lane-Miles by Functional Class

The Highway Performance Monitoring System(HPMS) is the source of road mileage data and isconsidered reliable (See box 1-1 for detailed infor-mation about the HPMS) The US Department ofTransportation Federal Highway Administrationcollects and reviews state-reported HPMS data forcompleteness consistency and adherence to specifi-cations Some inaccuracy may arise from variationsacross states in their adherence to federal guidelinesin the Traffic Monitoring Guide and the HighwayPerformance Monitoring System Field Manual forthe Continuing Analytical and Statistical Database

Beginning with the 1997 issue of Highway Statis-tics FHWA instituted a new method for creatingmileage-based tables derived from the HPMS Previ-ously adjustments to tables developed from sampledata were made using area-wide mileage informa-tion provided by states These adjustments are nowbeing made using universe totals from the HPMSdataset In addition FHWA has discontinued theprocess of spreading rounding and other differencesacross table cells Thus users may note minor differ-ences in table-to-table totals FHWA considers mile-age totals from table HM-20 ldquoPublic Road LengthMiles by Functional Systemrdquo to be the controllingtotals should a single value be required

Lane-miles are calculated by multiplying the cen-terline length by the number of through lanesBecause the HPMS requires that the number of lanesbe reported for all principal arterials other NationalHighway System (NHS) roads and all standard

Appendix E Data Source and Accuracy Statements

samples lane length can be computed for the Inter-state other principal arterials and the NHS on a100-percent basis For minor arterials rural majorcollectors and urban collectors lane length is calcu-lated based on standard sample sections using thereported number of through lanes length of sectionand an expansion factor FHWA uses the expandedsample to check that the centerline length of a statersquosfunctional system matches the universe functionalsystem length If the centerline length and functionalsystem length do not match FHWA may ask a stateto make adjustments

Reliability may be diminished for comparisonswith pre-1980 data which were collected via dif-ferent methods and special national studies Forinstance pre-1980 mileage data included somenonpublic roadways (95000 miles in 1979) whilepost-1980 data reports only public road mileage(roads or streets governed and maintained by apublic authority and open to public travel)

TABLE 1-7 Number of Stations Served by Amtrak and Rail Transit Fiscal Year

These numbers originate from Amtrakrsquos Statisti-cal Appendix to Amtrakrsquos Annual Report and theUS Department of Transportation Federal TransitAdministrationrsquos National Transit Database

Amtrak maintains a computer database with arecord of every station locomotive and car it oper-ates Those records include for each vehicle theyear built its service status (operating or not on adaily basis) and location These data should beconsidered very reliable

TABLE 1-8 ADA Accessible Rail Transit Stations by Agency

TABLE 1-9 ADA Lift- or Ramp-Equipped Transit Buses

These data are based on information in the USDepartment of Transportation Federal TransitAdministration (FTA) National Transit Database(NTD) The legislative requirement for the NTD isfound in Title 49 USC 5335(a) Transit agenciesreceiving funds through the Urbanized Area For-mula Program are generally required to report finan-cial and operating data including certain aspects ofstation and vehicle accessibility Transit operatorsthat do not report to FTA are those that do notreceive Urbanized Area Formula Funding typically

private small and rural operators The data aregenerally considered accurate because FTA reviewsand validates information submitted by individualtransit agencies Reliability may vary because sometransit agencies cannot obtain accurate informationor may misinterpret certain data definitions

TABLE 1-10 US Oil and Gas Pipeline Mileage

Oil PipelineThe data are from Transportation in America

published by the Eno Transportation FoundationInc (Eno) The numbers reprinted here for 19601965 1970 and 1975 are Eno estimates from theUS Department of Energyrsquos Energy Data Reportissues labeled ldquoCrude-oil and Refined ProductsMileage in the United Statesrdquo Eno estimated the1980 number based on the assumption that refine-ment of old less profitable and smaller linesexceeded in mileage the construction of new largerand more-profitable lines Figures from 1985 andlater years are calculated from a base figure thatEno obtained from the 1982 US Department ofTransportation study Liquid Pipeline Director andthen incorporated that figure with data from theAssociation of Oil Pipe Lines and the Oil PipelineResearch Institute Lack of additional informationraises definitional and methodological uncertain-ties for the datarsquos reliability Moreover the threedifferent information sources introduce data dis-continuities making time comparisons less reliable

Gas PipelineThese statistics originate from annual editions of

Gas Facts published by the American Gas Associa-tion (AGA) The data reported by AGA are basedon gas utilities participation and reporting to theUniform Statistical Report Utilities reporting in1991 represented 98 percent of total gas utilityindustry sales while the remaining 2 percent wasestimated for the nonreporting companies based onrecent historical experience Varying percentages ofnonreporters from year to year introduce minorreliability problems for time-series comparisons

Appendix E Data Source and Accuracy Statements

TABLE 1-11 Number of US Aircraft Vehicles Vessels and Other Conveyances

TABLE 1-12 Sales or Deliveries of New Aircraft Vehicles Vessels and Other Conveyances

Civilian AircraftThe Aerospace Industries Association (AIA) pro-

vided this data in their annual issues AerospaceFacts and Figures ldquoCivil Aircraft Shipmentsrdquo AIAcollects their data from aircraft company reportsthe General Aviation Manufacturers Association(GAMA) and the US Department of Commercersquos(DOC) International Trade Administration DOCdata provide total number of shipments andexports and the difference computed by AIAequals domestic shipments DOC collects ship-ments data separately for individual factories orestablishments and not at the company level Apotential limitation of this approach is when a fac-tory producing aircraft for shipment also makesaircraft parts If the establishment has 80 percentof its production in aircraft and 20 percent in partsall of the output is attributed to aircraft shipments

TransportThe Aerospace Industries Association (AIA) is

the source of these data AIA obtains quarterlydata from Boeing Corp now the sole US manu-facturer of transport aircraft and publicly avail-able financial disclosure information filed with theUS Securities and Exchange Commission (SEC)via Form 10-k SEC requires a publicly traded com-pany to file an annual report 90 days after the endof the companyrsquos fiscal year to provide an overviewof that business

HelicoptersAIA surveyed and received data from all 10

major helicopter manufacturers on their sales anddeliveries

General AviationThe general aviation figures are taken from the

General Aviation Statistical Databook publishedby the GAMA General aviation refers usually tothe small aircraft industry in the United StatesGAMA collects quarterly data from the 10 to 14

manufacturers who nearly equal a census of thegeneral aviation sector

Passenger Car Truck Bus and Recreational Vehicles

Wardrsquos Motor Vehicle Facts and Figures is thesource of these data Wardrsquos obtains sales datadirectly from manufacturers Readers should notethat automobile manufacturers have inflated salesfigures in the past but Wardrsquos does contact compa-nies to verify numbers that appear too high or low

MotorcycleThe Motorcycle Industry Council Inc (MIC)

publishes the Motorcycle Statistical Annual whichis the source for these data MIC derived the esti-mate for new retail motorcycle sales for each statefrom the MIC Retail Sales Report and adjusted fortotal retail sales Motorcycle company reports pro-vided sales data Prior to 1985 all-terrain vehicles(ATVs) were included in the motorcycle total In1995 the Motorcycle Industry Council revised itsdata for the years 1985 to present to exclude allterrain vehicles from its totals

BicycleThe National Bicycle Dealers Association (NBDA)

reported these data which are based on Bicycle Man-ufacturers Association (BMA) information through1996 BMA stopped reporting members shipmentsin 1996 Moreover BMA represents the largest bicy-cle manufacturers (Huffy Roadmaster and Murray)and thus the data do not reflect specialty bike makersor other manufacturers The Bike Council estimated1997 through 2001 figures in the table According toa Bicycle Council representative the estimates are acombination of domestic forecasts produced by apanel of industry experts and import data frommonthly US census databases

TransitThe American Public Transit Association pro-

vided these figures which are based on informationin the US Department of Transportation FederalTransit Administration (FTA) National TransitDatabase These data are generally considered accu-rate because the FTA reviews and validates informa-tion submitted by individual transit agenciesReliability may vary because some transit agencies

Appendix E Data Source and Accuracy Statements

cannot obtain accurate information or misinterpretdata APTA conservatively adjusts FTA data toinclude transit operators that do not report to thedatabase (private very small and rural operators)

Class I RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percent report-ing by Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1Annual Report STB defines Class I railroads ashaving operating revenues at or above a thresholdindexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 2000 the thresholdfor Class I railroads was $2619 million AlthoughClass I railroads encompasses only 2 percent of thenumber of railroads in the country they accountfor over 71 percent of the industrys mileage oper-ated Historical reliability may vary due to changesin the railroad industry including bankruptciesmergers and declassification by the STB Smalldata errors may also have occurred because ofindependent rounding in this series by the AAR

AmtrakAmtrak maintains a computer database with a

record of every locomotive and car it operates Foreach vehicle those records include the year builtits service status (operating or not on a daily basis)and location These data should be considered veryreliable

Water TransportationUS Department of Transportation Maritime

Administration (MARAD) which classifies vesselsas merchant based on size and type reports thesedata in annual issues of its Merchant Fleets of theWorld MARAD compiles these figures from a dataservice provided by Lloydrsquos Maritime InformationService The parent company Lloydrsquos Register(LR) collects data from several sources its 200offices worldwide data transfers and agreementswith other classification societies questionnaires toship owners and shipbuilders feedback from gov-ernment agencies and input from port agentsAccording to an LR official consistent data gather-ing methods have been maintained for more than

30 years but cautioned that inconsistencies mayoccur in groupings of ship types over time Forexample tank barges are now included in thetanker ship-type grouping rather than the bargegrouping

TABLE 1-13 Active Air Carrier and General Aviation Fleet by Type of Aircraft

Air Carrier Certificated All ServicesPrior to 1995 data originated from the US

Department of Transportation Federal AviationAdministration (FAA) FAA Statistical Handbookof Aviation Later data are from the AerospaceIndustries Association (AIA) Aerospace Facts andFigures However Aerospace Facts and Figures iscompiled from the FAA Statistical Handbook ofAviation US air carrier fleet data are based onreports collected by FAA field offices from carriersThe reports include information on the number ofaircraft by type used in air carrier service The FAApoints out that this information is not an inventoryof the aircraft owned by air carriers but representsthe aircraft reported to the FAA as being used in aircarrier fleet service The reported aircraft are allaircraft carrying passengers or cargo for compensa-tion or hire under 14 CFR 121 and 14 CFR 135

General AviationThe 1960-1980 figures originated from the FAA

Statistical Handbook of Aviation Later data arefrom FAA annual issues of the General Aviationand Air Taxi Activity (GAATA) Survey reporttable 31 The FAA collects both aircraft registra-tion data and voluntary information about aircraftoperation equipment and location Before 1978the FAA mandated owners to annually registertheir aircraft for the Aircraft Registration MasterFile This was a complete enumeration of operatingaircraft Registrants were also asked to voluntarilyreport information on hours flow avionics equip-ment base location and use The FAA changedtheir data collection methodology in 1978 Theannual registration requirement became triennialand the General Aviation Activity and AvionicsSurvey was initiated to sample aircraft operationand equipment data

The General Aviation Activity and Avionics Sur-vey was renamed the General Aviation and Air

Appendix E Data Source and Accuracy Statements

Taxi Activity Survey in 1993 to reflect the fact thatthe survey includes air taxi aircraft This survey isconducted annually and encompasses a stratifiedsystematic design from a random start to generatea sample of all general aviation aircraft in theUnited States It is based on the FAA registry as thesampling frame FAA established three stratifica-tion design variables in the survey 1) the averageannual hours flown per aircraft by aircraft type 2)the aircraft manufacturermodel characteristicsand 3) the state of aircraft registration

Data ReliabilityBecause of the change in 1978 the reliability of

comparisons over time will be affected The FAAasserted that the change to a triennial registrationdeteriorated the Aircraft Registration Master Filein two ways First the resulting lag in registrationupdates caused the number of undeliverable ques-tionnaires to steadily increase over the three-yearperiod Second inactive aircraft would remain inthe registry inflating the general aviation fleetcount In addition a new regulation added two cat-egories of aircraft to the general aviation fleetHowever FAA concluded that these changesresulted in no more than a five-percent error in thefleet population estimate

The reliability of the GAATA survey can beimpacted by two factors sampling and nonsam-pling error A measure called the standard error isused to indicate the magnitude of sampling errorStandard errors can be converted for comparabilityby dividing the standard error value by the estimate(derived from sample survey results) and multiply-ing it by 100 This quantity referred to as the per-cent standard error totaled seven-tenths of apercent in 1997 for the general aviation fleet Alarge standard error relative to an estimate indi-cates lack of precision and inversely a small stan-dard error indicates precision

Nonsampling errors could include problemssuch as nonresponse respondentrsquos inability orunwillingness to provide correct information dif-ferences in interpretation of questions and data-entry mistakes Readers should note that non-response bias might be a component of reliabilityerrors in the data from 1980 to 1990 The FAAconducted telephone surveys of nonrespondents in1977 1978 and 1979 and found no significantdifferences or inconsistencies in respondentsrsquo and

nonrespondentsrsquo replies The FAA discontinued thetelephone survey of nonrespondents in 1980 tosave costs Nonresponse surveys were resumed in1990 and the FAA found notable differences andthus adjusted its fleet estimates The 1991 through1996 data have been revised to reflect nonresponsebias In 1997 a sample of 29954 aircraft wasidentified and surveyed from an approximate pop-ulation of 251571 registered general aviation air-craft Just over 65 percent of the sample respondedto the survey

Highway Total (registered vehicles)The 1960 to 1980 figures are from the US

Department of Transportation Federal HighwayAdministration (FHWA) document Highway Sta-tistics Summary to 1985 table MV-201 andrelated tables Data quality and consistency will beless reliable for these years because of a diversity ofregistration practices from state to state Usersshould recognize that motor vehicle statisticalinformation is not necessarily comparable acrossall states or within a state from year to year Forinstance the FHWA reported that separate data onsingle-unit trucks and combinations was unobtain-able from all states in 1990

After 1980 the FHWA began to use the High-way Performance Monitoring System (HPMS)database which improved data reliability FHWAreviews state-reported HPMS data for complete-ness consistency and adherence to these specifica-tions Some inaccuracy may arise from variationsacross states in their adherence to federal guidelinesin the Highway Performance Monitoring SystemField Manual for the Continuing Analytical andStatistical Database

If choosing to compare state data the FHWA rec-ommends that users carefully select a set of peerstates that have characteristics similar to the specificcomparison Improperly selected peer states arelikely to yield invalid data comparisons Characteris-tics that a user needs to consider in determiningcompatibility of a peer state include similarities anddifferences in urbanrural areas population densi-ties degrees of urbanization climate geographystate laws and practices that influence data defini-tions administrative controls of public road sys-tems state economies traffic volumes and degreesof centralization of state functions The FHWA has

Appendix E Data Source and Accuracy Statements

developed a set of variables that users may use todetermine appropriate peer states

Other 2-Axle 4-Tire Vehicle (truck) Sources for these figures included FHWArsquos High-

way Statistics Summary to 1995 (table VM-201A)and annual issues of Highway Statistics (table VM-1) FHWA compiles these figures from the USBureau of the Censusrsquo Truck Inventory and UseSurvey (TIUS) Since 1963 Census has conductedthe TIUS every five years with the last survey com-pleted in 1997 The Census Bureau changed thename of the survey to the Vehicle Inventory andUse Survey (VIUS) in 1997 The VIUS collects dataand the physical and operational characteristics ofthe nationrsquos truck population In 1997 131000trucks were surveyed from an estimated universe ofover 75 million trucks Chronological reliabilitymay be diminished due to sampling design changesin 1977 1982 and 1992 In 1977 the samplinguniverse was first stratified by the number of trucksin a state large (gt 15 million trucks) medium(700000 to 15 million) and small (lt 700000)and then by two truck sizes

Stratification in 1982 was then based on bodytype rather than vehicle weight In 1992 and 1997the sampling universe was first subdivided geo-graphically and then into five strata 1) pickups 2)vans 3) single-unit light 4) single-unit heavy and5) truck tractor Cases were then selected randomlywithin each stratum

Census delivered a mail-outmail-back survey tothe owner identified in the vehicle registrationrecords Data collection is staggered as state recordsbecome available Owners report data only for thevehicles selected In the 1992 survey a method wasemployed to also collect data on new truck pur-chases in the latter half of the year to estimate thefleet for the calendar year This adjustment in thesampling frame had not been done in previous sur-veys and may diminish chronological reliability Thesample for 1997 was some 22500 vehicles smallerthan for 1992 The 1997 VIUS had two samplingstages For the first stage the Census Bureau sur-veyed about 131000 trucks registered as of July 11997 The second stage sampled a total of 3000truck owners with state mailing addresses differentfrom the state of truck registration

The accuracy and reliability of the VIUS surveydepends jointly on sampling variability and non-

sampling errors Standard errors arising from sam-pling variability can be converted for comparabilityby dividing the standard error value by the estimateand multiplying it by 100 This quantity referredto as the percent standard error totaled two-tenthsof a percent in 1992 and 1997 for the VIUS sam-ple A large standard error relative to an estimateindicates lack of precision and inversely a smallstandard error indicates precision The 1992 TIUSachieved over 902 percent reporting and the 1997response rate equaled 845 percent thus reliabilitymay have decreased in the most recent survey

TransitThe American Public Transit Association (APTA)

provided these data which are based on the Fed-eral Transit Administration (FTA) National TransitDatabase These data are generally accuratebecause the FTA reviews and validates informationsubmitted by individual transit agencies Reliabilitymay vary because some transit agencies cannotobtain accurate information or may misinterpretdata APTA conservatively adjusts FTA data toinclude transit operators that do not report to thedatabase (private very small and rural operators)

Railroad (all categories)The data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percent report-ing by Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1Annual Report Thus data estimates are consid-ered very reliable The STB defines Class I railroadsas having operating revenues at or above a thresh-old indexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 2000 the adjustedthreshold for Class I railroads was $ 2619 millionDeclassification from Class I status occurs when arailroad falls below the applicable threshold forthree consecutive years Although Class I railroadsencompasses only 2 percent of the number of rail-roads in the country they account for over 71 per-cent of the industrys mileage operated

AAR determines the number of non-Class I rail-roads through an annual comprehensive surveysent to every US freight railroad By following upwith nonrespondents the AAR obtains essentially

Appendix E Data Source and Accuracy Statements

a 100 percent census of all railroads Use of thecurrent survey instrument began in 1986

AmtrakAmtrak maintains a computer database with a

record of every locomotive and car it operates Foreach vehicle those records include the year builtservice status (operating or not operating on a dailybasis) and location This data should be consid-ered very reliable

Water TransportationThe source for Inland Nonself-Propelled Vessels

Self-Propelled Vessels and flag passenger andcargo vessels is the US Army Corps of Engineers(USACE) Waterborne Transportation Lines of theUnited States annual issues Data are collected bythe USACErsquos Navigation Data Center (NDC) byvarious means including the US Coast Guardrsquosregistry maritime service directories and waterwaysector publications However an annual survey ofcompanies that operate inland waterway vessels isthe principle source of data More than 3000 sur-veys are sent to these companies and responserates are typically above 90 percent However aUSACE official did report that less than 10 percentof the total number of companies operating inlandvessels either did not receive or respond to theannual survey

Oceangoing Steam Motor ShipsMerchant Fleets of the World published annu-

ally by the US Department of TransportationMaritime Administration (MARAD) is the sourceof these data MARAD which classifies vessels asmerchant based on size and type compiles thesefigures from a data service provided by LloydrsquosMaritime Information Service (LMIS) The parentcompany Lloydrsquos Register (LR) collects data from200 offices worldwide from data transfers andagreements with other classification societies fromquestionnaires to ship owners and ship buildersfrom feedback from government agencies andfrom input from port agents According to an LRofficial consistent data-gathering methods havebeen maintained for more than 30 years The sameofficial did caution that there are sometimes incon-sistencies in groupings of ship types over time Forexample propelled tank barges are now includedin the tanker ship-type grouping

Recreational BoatsBoating Statistics published annually by the US

Coast Guard (USCG) is the source The USCGderives these figures from state and other jurisdic-tional reporting of the actual count of valid boatnumbers issued In accordance with federalrequirements all 55 US states and territoriesrequire motor-powered vessels to be numberedHowever over half the states do not require non-powered vessels to be numbered Accuracy can alsobe diminished by noncompliance of boat ownerswith numbering and registration laws In 1996 theUSCG estimated that approximately eight millionrecreational boats are not numbered and thus areexcluded from the reported number of recreationalvessels The USCG did not provide estimates forthe number of boats without numbering in theirreports after 1996 Some jurisdictions fail to reportby publication deadlines and the USCG providedestimates based on the previous yearrsquos estimate

TABLE 1-14 US Automobile and Truck Fleets by Use

These statistics originate from two sources TheRL Polk Co provides numbers for commercialfleet vehicles from state registrations Bobit Publish-ing Co also obtains fleet vehicle sales data fromautomobile manufacturers These two sources covernearly 100 percent of fleet vehicles in the UnitedStates Thus the data should be very accurate

TABLE 1-15 Annual US Motor Vehicle Production and Factory (Wholesale) Sales

TABLE 1-16 Retail New Passenger Car Sales

TABLE 1-17 New and Used Passenger Car Sales and Leases

TABLE 1-18 Retail Sales of New Cars by SectorThe US Department of Commerce Bureau of

Economic Analysis uses data from Wardrsquos Auto-motive Reports The sectoral break down isderived from registration data obtained from RLPolk Wardrsquos obtains sales data directly from man-ufacturers Readers should note that automobilemanufacturers have inflated sales figures in thepast but Wardrsquos does contact companies to verifynumbers that appear too high or low

Appendix E Data Source and Accuracy Statements

TABLES 1-19 and 1-20 Period Sales Market Shares and Sales-Weighted Fuel Economies of New Domestic and Imported Automobiles and Light Trucks Selected Sales Periods

These data originate from Oak Ridge NationalLaboratoryrsquos (ORNL) Light-Duty MPG and Mar-ket Shares System database which relies on infor-mation from monthly Wardrsquos Automotive ReportsComparisons and observations are made on salesand fuel economy trends from one model year tothe next ORNL has adopted several conventionsto facilitate these comparisons such as the use ofsales-weighted average to estimate fuel economyand vehicle characteristics For example ldquosales-weightedrdquo miles per gallon refers to a composite oraverage fuel economy based on the distribution ofvehicle sales ORNLrsquos methodology for sales-weighting can be found in the Appendix of theHighway Vehicle MPG and Market Shares ReportModel Year 1990 (the latest published report) Themethod was changed dramatically in 1983 anddata reliability prior to that year is questionableThis information is now published annually inORNLrsquos Transportation Energy Data Book

TABLE 1-21 Number of Trucks by WeightThese data are derived from the Vehicle Inven-

tory and Use Survey (VIUS) conducted in 1997 bythe US Bureau of the Census This survey for-merly known as the Truck Inventory and Use Sur-vey (TIUS) has been conducted every 5 years since1963 The VIUS collects data and the physical andoperational characteristics of the nationrsquos truckpopulation In 1997 131000 trucks were surveyedfrom an estimated universe of over 75 milliontrucks Chronological reliability may be diminisheddue to sampling design changes in 1977 1982 and1992 In 1977 the sampling universe was firststratified by the number of trucks in a state large(gt 15 million trucks) medium (700000 to 15 mil-lion) and small (lt 700000) and then by two trucksizes

Stratification in 1982 was then based on bodytype rather than vehicle weight In 1992 and 1997the sampling universe was first subdivided geo-graphically and then into five strata 1) pickups 2)vans 3) single-unit light 4) single-unit heavy and5) truck tractor Cases were then selected randomlywithin each stratum

Census delivered a mail-outmail-back survey tothe owner identified in the vehicle registrationrecords Data collection is staggered as state recordsbecome available Owners report data only for thevehicles selected In the 1992 survey a method wasemployed to also collect data on new truck pur-chases in the latter half of the year to estimate thefleet for the calendar year This adjustment in thesampling frame had not been done in previous sur-veys and may diminish chronological reliability Thesample for 1997 was some 22500 vehicles smallerthan for 1992 The 1997 VIUS had two samplingstages For the first stage the Census Bureau sur-veyed about 131000 trucks registered as of July 11997 The second stage sampled a total of 3000truck owners with state mailing addresses differentfrom the state of truck registration

The accuracy and reliability of the VIUS surveydepends jointly on sampling variability and non-sampling errors Standard errors arising from sam-pling variability can be converted for comparabilityby dividing the standard error value by the estimateand multiplying it by 100 This quantity referredto as the percent standard error totaled two-tenthsof a percent in 1992 and 1997 for the VIUS sam-ple A large standard error relative to an estimateindicates lack of precision and inversely a smallstandard error indicates precision The 1992 TIUSachieved over 902 percent reporting and the 1997response rate equaled 845 percent thus reliabilitymay have decreased in the most recent survey

TABLE 1-22 World Motor Vehicle Production Selected Countries

Motor Vehicle Production Factory Sales and New Passenger Car Retail Sales

Wardrsquos Motor Vehicle Facts amp Figures is thesource of these data Wardrsquos obtains sales datadirectly from manufacturers Readers should notethat automobile manufacturers have inflated salesfigures in the past but Wardrsquos does contact compa-nies to verify numbers that appear too high or low

Used Passenger Car Sales and Leased Passenger Cars

ADT Automotive Used Car Market Report is thesource of these data The Wall Street Journal (WSJ)is the original source of 1999 data According to

Appendix E Data Source and Accuracy Statements

an ADT representative publishing deadlinesrequire ADT to use WSJ numbers until they can bereplaced with National Automotive Dealers Asso-ciation data ADT Automotiversquos Market AnalysisDepartment also gathers figures from CNW Mar-ketingResearch and the RL Polk Co CNW esti-mates used car sales volumes by collecting statetitle transfer data and determining if a transactionwas made between private individuals or between aconsumer and a franchised or independent dealerThis estimate is evaluated by comparing totaltransactions with state automobile sales revenuesPolk an additional source of data maintains astate vehicle registration database For 1998 theADT representative stated that Polkrsquos data werewithin 5 percentage points of CNW estimates

TABLE 1-23 Number and Size of the US Flag Merchant Fleet and Its Share of the World Fleet

The US Department of Transportation Mari-time Administration which classifies vessels asmerchant based on size and type compiles thesefigures from a data service provided by LloydrsquosMaritime Information Service The parent com-pany Lloydrsquos Register (LR) collects data from sev-eral sources its 200 offices worldwide datatransfers and agreements with other classificationsocieties questionnaires to ship owners and ship-builders feedback from government agencies andinput from port agents According to an LR offi-cial consistent data gathering methods have beenmaintained for more than 30 years but cautionedthat inconsistencies may occur in groupings of shiptypes over time For example tank barges are nowincluded in the tanker ship-type grouping ratherthan the barge grouping

TABLE 1-24 US Airport Runway Pavement Conditions

These data originate from the US Departmentof Transportation Federal Aviation Administration(FAA) National Plan of Integrated Airport Systems(NPIAS) The NPIAS includes all commercial ser-vice airports all reliever airports and selected gen-eral aviation airports It does not include morethan 1000 publicly owned public use landingareas privately owned public use airports andother civil landing areas not open to the generalpublic NPIAS airports serve 92 percent of generalaviation aircraft (based on an estimated fleet of

200000 aircraft) In 1998 the NPIAS encom-passed 3344 of the 5357 airports with publicaccess Runway pavement condition is classified asfollows

Good All cracks and joints are sealedFair Mild surface cracking unsealed joints and

slab edge spallingPoor Large open cracks surface and edge spal-

ling vegetation growing through cracks and jointsOn a rotating basis the FAA arranges annual

inspections for about 2000 of the approximately4700 public-use airports The inspections arebased on funding availability and not on statisticalcriteria and nearly all runways are inspected everytwo years Inspections are primarily made to col-lect information for pilots on airport conditionsThe FAA relies on state and local agencies to per-form inspections so some inaccuracy may arisefrom variation in their adherence to federal guide-lines regarding pavement condition reporting In1998 the US General Accounting Office foundthat Pavement Condition Index information wasavailable for about 35 percent of NPIAS airports(GAORCED-98-226)

TABLE 1-25 Median Age of Automobiles and Trucks in Operation in the United States

The RL Polk Co is a private enterprise thatpurchases state registration data to maintain adatabase of operational vehicles Its data representa near census of registered vehicles in the UnitedStates and the age estimate should be consideredvery reliable

TABLE 1-26 Condition of US Roadways by Functional System

US Department of Transportation FederalHighway Administration (FHWA) collects pave-ment condition data from each state through theHighway Performance Monitoring System TheFHWA uses two rating schemesmdashthe Present Ser-viceability Rating (PSR) and the InternationalRoughness Indicator (IRI) IRI is used to measurethe condition of Interstates other principal arteri-als rural minor arterials and other National High-way System roadways PSR is used to measure thecondition of rural major collectors and urbanminor arterials and collectors Rural minor collec-tors are not measured Where IRI data are notreported for sampled sections the PSR data are

Appendix E Data Source and Accuracy Statements

collected Using the PSR values range from 01 to50 where 50 denotes new pavement in excellentcondition and 01 denotes pavement in extremelypoor condition On the IRI scale however lowervalues indicate smoother roads (eg lt60 for inter-state pavement in very good condition to gt170 forinterstate pavement in poor condition)

The IRI is an objective measure of pavementroughness developed by the World Bank The PSRis a more subjective measure of a broader range ofpavement characteristics and therefore less compa-rable Prior to 1993 all pavement conditions wereevaluated using PSR values Beginning with datapublished in Highway Statistics 1993 the FHWAbegan a transition to the IRI which should eventu-ally replace the PSR The change from PSR to IRImakes comparisons between pre-1993 pavementcondition data and 1993 and later pavement condi-tion data difficult Thus trend comparisons shouldbe made with care

FHWA indicates that the protocol of measuringpavement roughness is not followed by all statesand some did not report for all required mileageTotals only reflect those states reporting usable orpartially usable data Column percentages may notsum to 100 and may differ slightly from percent-ages in source tables which were adjusted so thatthey would add to 100 FHWA believes that the IRIdata are of ldquoreasonably good qualityrdquo

TABLE 1-27 Condition of US BridgesThese figures are from the U S Department of

Transportation Federal Highway Administration(FHWA) National Bridge Inventory DatabaseState highway agencies are required to maintain abridge inspection program and inspect mostbridges on public roadways at a minimum of everytwo years With FHWA approval certain bridgesmay be inspected less frequently A complete file ofall bridges is collected and maintained represent-ing a very reliable assessment of bridge conditionsHowever some inaccuracy may be attributable tovariations in state inspectorrsquos adherence to theNational Bridge Inspection Standards

TABLE 1-28 Average Age of Urban Transit Vehicles

These figures are based on information in theUS Department of Transportation Federal TransitAdministration (FTA) National Transit Database

The legislative requirement for the NTD is found inTitle 49 USC 5335(a) Transit agencies receivingfunds through the Urbanized Area Formula Pro-gram are generally required to report financial andoperating data including vehicle inventoriesTransit operators that do not report to FTA arethose that do not receive Urbanized Area FormulaFunding typically private small and rural opera-tors The data are generally considered accuratebecause FTA reviews and validates informationsubmitted by individual transit agencies Reliabil-ity may vary because some transit agencies cannotobtain accurate information or may misinterpretcertain data definitions

TABLE 1-29 Class I Railroad Locomotive Fleet by Year Built

The data are from Railroad Facts publishedannually by the Association of American Railroads(AAR) Figures reported by AAR are based on100-percent reporting by Class I railroads to theSurface Transportation Board (STB) via Schedule700 of the R1 Annual Report STB defines Class Irailroads as having operating revenues at or abovea threshold indexed to a base of $250 million(1991) and adjusted annually in concert withchanges in the Railroad Freight Rate Index pub-lished by the Bureau of Labor Statistics In 2000the threshold for Class I railroads was $2619 mil-lion Declassification from Class I status occurswhen a railroad falls below the applicable thresh-old for three consecutive years Although Class Irailroads encompasses only 2 percent of the num-ber of railroads in the country they account forover 71 percent of the industrys mileage operated

TABLE 1-30 Age and Availability of Amtrak Locomotive and Car Fleets

Amtrak maintains a computer database with arecord of every locomotive and car it operates Foreach vehicle those records include the year built itsservice status (operating or not on a daily basis)and location These data should be consideredvery reliable

TABLE 1-31 US Flag Vessels by Type and AgeThe data are from the US Army Corps of Engi-

neers (USACE) Waterborne Transportation Lines ofthe United States (WTLUS) annual issues The

Appendix E Data Source and Accuracy Statements

WTLUS database contains information on vesseloperators and characteristics and descriptions for alldomestic vessel operations Data are collected bythe USACErsquos Navigation Data Center primarilythrough a survey of vessel operating companiesMore than 3000 surveys are sent to these compa-nies and response rates are typically above 90 per-cent However a USACE official did report that lessthan 10 percent of the total number of companiesoperating inland vessel fleets either did not receiveandor did not respond to the annual survey

TABLE 1-32 US Vehicle-Miles

TABLE 1-33 Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class

TABLE 1-34 US Passenger-Miles

Air Carrier Certificated Domestic All ServicesThe US Department of Transportation

(USDOT) the Bureau of Transportation StatisticsOffice of Airline Information reports aircraft reve-nue-miles and passenger-miles in its publication AirTraffic Statistics These numbers are based on 100-percent reporting of passengers and trip length bylarge certificated air carriers Minor errors arisefrom nonreporting but amount to less than 1 per-cent of all air carrier passenger-miles The figuresdo not include data for all airlines such as mostscheduled commuter airlines and all nonscheduledcommuter airlines These if added may raise totalair passenger-miles by about 5 percent

General AviationPassenger-mile numbers for 1975 to present are

calculated by adjusting the Interstate CommerceCommissionrsquos 1974 figure for air passenger-miles bythe percentage change in annual hours flown by gen-eral aviation aircraft as published in the USDOTFederal Aviation Administration (FAA) FAA Statis-tical Handbook of Aviation Numbers in the hand-book are based on the General Aviation and AirTaxi Survey (GAATA) In 1993 the GAATAstopped including commuter aircraft Commuter-miles collected before 1993 by the GAATA wereaccording to one FAA official woefully underre-ported Therefore problems with the estimate ofgeneral aviation aircraft include a break in the seriesbetween 1992 and 1993 a possible outdated factor

used to calculate passenger-miles and the classifica-tion of commuter operations

HighwayHighway vehicle-miles of travel (vmt) are esti-

mated using data from the Highway PerformanceMonitoring System (HPMS) a database main-tained by FHWA that contains information onhighway characteristics supplied by individualstates Annual vmt by highway functional systemis calculated as the product of the annual averagedaily traffic (AADT) along each highway sectionthe centerline length of each highway section andthe number of days in the year Also expansionfactors are used for roadways that are sampledrather than continuously monitored Vmt by vehi-cle type is estimated using vehicle share estimatessupplied by states

FHWA has established methods for collectingcoding and reporting HPMS data in two manualsTraffic Monitoring Guide (TMG) and HighwayPerformance Monitoring System Field ManualThe prescribed sampling process for collectinghighway volume data which is used to estimateAADT is based on statistical methods Howeverin practice several factors affect the ultimate qual-ity of the data FHWA discusses many of theseissues in their annual Highway Statistics report andother publications However BTS is not aware ofany study or report that has statistically quantifiedthe accuracy of vmt estimates Some of the pri-mary issues related to data quality are noted here

1 The sampling procedures suggested in theTMG and HPMS Field Manual are designed to pro-duce traffic volume estimates with an average preci-sion level of 80-percent confidence with a 10-percent allowable error at the state level FHWAprovides additional guidance to states throughannual workshops and other avenues to help themfollow these procedures as closely as possible How-ever the actual data quality and consistency ofHPMS information are dependent on the programsactions and maintenance of sound databases bynumerous data collectors suppliers and analysts atthe state metropolitan and other local area levelsNot all states follow the recommended samplingcounting and estimating procedures contained inthe Traffic Monitoring Guide and the exact degreeto which the states follow these guidelines overall is

Appendix E Data Source and Accuracy Statements

unknown However FHWA believes that moststates generally follow the guidelines

2 Estimates for higher level roadway systems aremore accurate than those for lower level ones sincetraffic volumes on higher level roadways are sam-pled at a higher rate The TMG recommends thattraffic counts be collected for all Interstate andprincipal arterial sections on a three-year cycleUnder this scheme about one-third of the trafficcounts for these roadway sections in a given yearare actually measured while volumes on theremainder are factored to represent presentgrowth Although some States collect data at alltraffic count locations every year most use somevariation of the TMG data collection guidelinesVolumes on urban and rural minor arterials ruralmajor collectors and urban collectors are collectedusing a sampling procedure States are notrequired to report volumes for ruralurban localsystems and rural minor collectors though most doso However the methods used to estimate travelon these roadways vary from state to state sincethere are no standard guidelines for calculatingtravel on these roadways

3 Vmt estimates by vehicle type are less accuratethan are estimates for total motor vehicle vmt forseveral reasons 1) vehicle classification equipmentcan frequently misclassify vehicles (see BA Harveyet al Accuracy of Traffic Monitoring EquipmentGDOT 9210 (Georgia Tech Research Insti-tute1995)) 2) vehicle shares are often determinedby methods or by special studies that are notdirectly compatible with HPMS data definitionsandor purposes and observed local-level vehicleclassification counts are difficult to apply on astatewide basis and 3) vehicle type definitions canvary among states

4 Vmt estimates for combination trucks inHPMS differ from survey-based estimates from theTruck Inventory and Use Survey (TIUS) as muchas 50 percent for some categories of combinationtrucks Much of this discrepancy appears to be dueto differences in truck classification definitions andbiases introduced by data collection practices SeeRD Mingo et al1995 Transportation ResearchRecord No 1511 (Washington DC NationalAcademy Press) pp 42-46

5 FHWA adjusts questionable data using a vari-ety of standard techniques and professional judge-ment For example national average temporal

adjustment factors developed from HPMS andother national highway monitoring programs areapplied to state data when necessary to compen-sate for temporal deficiencies in sampling practicesAlso in estimating vmt by vehicle type FHWAemploys an iterative process to reconcile vmt fueleconomy (miles per gallon) fuel consumption andvehicle registration estimates Fuel consumptiontotal vmt by highway functional class and registra-tions by vehicle group are used as control totalsThis process limits the size of errors and ensuresdata consistency

6 Passenger-miles of travel (pmt) are calculatedby multiplying vmt estimates by vehicle loading (oroccupancy) factors from various sources such asthe Nationwide Personal Transportation Surveyconducted by FHWA and TIUS Thus pmt dataare subject to the same accuracy issues as vmtalong with uncertainties associated with estimatingvehicle-loading factors

TransitThe American Public Transit Association (APTA)

figures are based on information in USDOT FederalTransit Administration (FTA) National Transit Data-base Transit data are generally considered accuratebecause FTA reviews and validates information sub-mitted by individual transit agencies However reli-ability may vary because some transit agencies cannotobtain accurate information or may misinterpretdata APTA adjusts the FTA data to include transitoperators that do not report to the FTA database (pri-vate very small and rural operators)

Class I Rail (vehicle-miles)Data are from Railroad Facts published annu-

ally by the Association of American Railroads(AAR) AAR data are based on 100-percentreporting by Class I railroads to the Surface Trans-portation Board (STB) via Schedule 700 of the R1Annual Report required of Class I railroads STBdefines Class I railroads as having operating reve-nues at or above a threshold indexed to a base of$250 million (1991) and adjusted annually in con-cert with changes in the Railroad Freight RateIndex published by the Bureau of Labor StatisticsIn 1999 the adjusted threshold for Class I rail-roads was $2585 million Declassification fromClass I status occurs when a railroad falls belowthe applicable threshold for three consecutive

Appendix E Data Source and Accuracy Statements

years Although Class I railroads encompasses only2 percent of the number of railroads in the countrythey account for over 71 percent of the industrysmileage operated

Intercity TrainThe AAR passenger-miles number is based on an

almost 100-percent count of tickets and thereforeis considered accurate

TABLE 1-36 Long-Distance Travel in the United States by Selected Trip Characteristics 1995

TABLE 1-37 Long-Distance Travel in the United States by Selected Traveler Characteristics 1995

The data presented in these tables are estimatesderived from the 1995 American Travel Survey(ATS) conducted for the US Department of Trans-portation Bureau of Transportation Statistics Thesurveyrsquos estimation procedure inflates unweightedsample results to independent estimates of the totalpopulation of the United States Values for missingdata are estimated through imputation procedures

Since ATS estimates come from a sample theyare subject to two possible types of error nonsam-pling and sampling Sources of nonsampling errorsinclude inability to obtain information about allsample cases errors made in data collection andprocessing errors made in estimating values formissing data and undercoverage

The accuracy of an estimate depends on bothtypes of error but the full extent of the nonsam-pling error is unknown Consequently the usershould be particularly careful when interpretingresults based on a relatively small number of casesor on small differences between estimates

Standard errors for ATS estimates that indicatethe magnitude of sampling error as well as com-plete documentation of the source and reliability ofthe data may be obtained from detailed ATSreports Because of methodological differencesusers should use caution when comparing thesedata with data from other sources

TABLE 1-38 US Air Carrier Departures Enplaned Revenue Passengers and Enplaned Revenue Tons

The Airport Activity Statistics of Certificated AirCarriers (AAS) is the source of these data Pub-lished annually by the US Department of Trans-

portation Bureau of Transportation StatisticsOffice of Airline Information (OAI) the AAS pre-sents traffic statistics for all scheduled and non-scheduled service by large certificated US aircarriers for each airport served within the 50 statesthe District of Columbia and other US areas des-ignated by the Federal Aviation AdministrationThe publication draws its data from the T-100 andT-3 databases maintained by OAI These data arebased on a 100-percent reporting of enplanementsdepartures and tonnage information by large cer-tificated US air carriers via BTS Form 41

Prior to 1993 the AAS included all scheduledand some nonscheduled enplanements for certifi-cated air carriers but did not include enplanementsfor air carriers offering charter service only Priorto 1990 the freight category was divided into bothfreight and express shipments and the mail cate-gory was divided into US mail (priority and non-priority) and foreign mail Beginning in 1990 onlyaggregate numbers were reported for freight andmail

Air traffic hubs are designated as geographicalareas based on the percentage of total passengersenplaned in the area A hub may have more thanone airport This definition of hub should not beconfused with the definition used by airlines indescribing their ldquohub-and-spokerdquo route structures

TABLE 1-39 Passengers Boarded at the Top 50 US Airports

The Airport Activity Statistics of CertificatedAir Carriers (AAS) is the source of these dataPublished by USDOT Bureau of TransportationStatistics Office of Airline Information (OAI) theAAS presents traffic statistics for all scheduledand nonscheduled service by large certificatedUS air carriers for each airport served within the50 states the District of Columbia and other USareas designated by the Federal Aviation Adminis-tration The publication draws its data from theT-100 and T-3 databases maintained by OAIThese data are based on a 100-percent reportingof enplanements departures and tonnage infor-mation by large certificated US air carriers viaBTS Form 41

Prior to 1993 the AAS included all scheduledand some nonscheduled enplanements for certifi-cated air carriers but did not include enplanementsfor air carriers offering charter service only Prior

Appendix E Data Source and Accuracy Statements

to 1990 the freight category was divided into bothfreight and express shipments and the mail cate-gory was divided into US mail (priority and nonp-riority) and foreign mail Beginning in 1990 onlyaggregate numbers were reported for freight andmail

TABLE 1-40 Air Passenger Travel Arrivals in the United States from Selected Foreign Countries

TABLE 1-41 Air Passenger Travel Departures from the United States to Selected Foreign Countries

The International Trade Administration in theUS Department of Commerce publishes the USInternational Air Travel Statistics Report annu-ally The passenger data is based on informationcollected by the US Immigration and Naturaliza-tion Service using the INS Form I-92 All passen-gers on international flights must complete the I-92form with the exception of those passengers onflights arriving or departing from Canada

The international passenger arrivals and depar-tures data for Canada is obtained from Air CarrierTraffic at Canadian Airports which is published byStatistics Canada Three surveys are conducted byStatistics Canada in order to collect the necessarypassenger data Since all data is not received by thetime of publication and data is occasionallyupdated or resubmitted by the participating carri-ers data should be considered preliminary for theyears referenced in the source publication

TABLE 1-44 US Ton-Miles of Freight

Air CarrierAir Carrier Traffic Statistics published by the

US Department of Transportation Bureau ofTransportation Statistics (BTS) Office of AirlineInformation (OAI) is the source of these dataLarge certificated US air carriers report domesticfreight activities to OAI via BTS Form 41 Theinformation reported in the table represents trans-portation of freight (excluding passenger baggage)US and foreign mail and express mail within the50 states the District of Columbia Puerto Ricoand the Virgin Islands It also covers transbordertraffic to Canada and Mexico by US carriers Thedata does not include information on small certifi-

cated air carriers which represent less than 5 per-cent of freight ton-miles

Intercity TruckThe data are estimates from Transportation in

America published by the Eno TransportationFoundation Inc (Eno) Enorsquos estimates of intercitytruck ton-miles are based on historic data from theformer Interstate Commerce Commission (ICC)estimates from the American Trucking Associationand other sources Eno supplements its estimatesby using additional information on vehicle-miles oftruck travel published in Highway Statistics by theFederal Highway Administration Users shouldnote that truck estimates in the tables do notinclude local truck movements

Class I RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percentreporting by Class I railroads to the Surface Trans-portation Board (STB) The data represent all reve-nue freight activities of the Class I railroads and arenot based on information from the Rail WaybillSample The STB defines Class I railroads as hav-ing operating revenues at or above a thresholdindexed to a base of $250 million (1991) andadjusted annually in concert with changes in theRailroad Freight Rate Index published by theBureau of Labor Statistics In 2000 the adjustedthreshold for Class I railroads was $ 2619 millionDeclassification from Class I status occurs when arailroad falls below the applicable threshold forthree consecutive years Although Class I railroadsencompasses only 1 percent of the number of rail-roads in the country they account for over 71 per-cent of the industrys mileage operated

Domestic Water TransportThe data are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport their domestic waterborne traffic move-ments to USACE via ENG Forms 3925 and 3925bCargo movements are reported according to pointsof loading and unloading Certain cargo move-ments are excluded 1) cargo carried on general fer-ries 2) coal and petroleum products loaded fromshore facilities directly into vessels for fuel use 3)

Appendix E Data Source and Accuracy Statements

military cargo moved in US Department ofDefense vessels and 4) cargo weighing less than100 tons moved on government equipmentUSACE calculates ton-miles by multiplying thecargorsquos tonnage by the distance between the pointsof loading and unloading

Oil PipelineThe data for 1960 1965 and 1970 are from

Transportation in America published by the EnoTransportation Foundation Inc and the data for1975 to 1998 are from Shifts in Petroleum Trans-portation by the Association of Oil Pipe Lines(AOPL) Enorsquos data are based on information fromthe former Interstate Commerce CommissionrsquosTransport Economics Common carrier oil pipe-lines reported all freight activities to the ICC

AOPL obtains barrel-miles from the FederalEnergy Regulatory Commission (FERC) whichrequires petroleum shippers to report annual ship-ments AOPL then coverts barrel-miles to ton-milesusing conversion figures in the American PetroleumInstitutersquos (APIrsquos) Basic Petroleum Data Book Since16 percent of pipeline shipments are intrastate andnot subject to FERC reporting requirements AOPLmakes adjustments to FERC data

TABLE 1-45 Average Length of Haul Domestic Freight and Passenger Modes

Freight

Air Carrier and TruckThe Eno Transportation Foundation Inc esti-

mated these figures

Class I RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR data are based on 100-percentreporting by Class I railroads to the Surface Trans-portation Board (STB) via Schedule 700 of the R1Annual Report required of Class I railroads TheSTB defined Class I railroads as having operatingrevenues at or above a threshold indexed to a baseof $250 million (1991) and adjusted annually inconcert with changes in the Railroad Freight RateIndex published by the Bureau of Labor StatisticsIn 2000 the adjusted threshold for Class I rail-

roads was $ 2619 million Declassification fromClass I status occurs when a railroad falls belowthe applicable threshold for three consecutiveyears Although Class I railroads encompassesonly 1 percent of the number of railroads in thecountry they account for over 71 percent of theindustrys mileage operated

WaterThe data are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport their domestic waterborne traffic move-ments to USACE via ENG Forms 3925 and 3925bCargo movements are reported according to pointsof loading and unloading Certain cargo move-ments are excluded 1) cargo carried on general fer-ries 2) coal and petroleum products loaded fromshore facilities directly into vessels for fuel use 3)military cargo moved in US Department ofDefense vessels and 4) cargo weighing less than100 tons moved on government equipmentUSACE calculates ton-miles by multiplying thecargorsquos tonnage by the distance between points ofloading and unloading

Oil PipelineThe Eno Transportation Foundation Inc pro-

vided these figures which are estimates based onUS Department of Energy and Association of OilPipe Lines reports Figures are derived by dividingestimated pipeline ton-miles by estimated crudeand petroleum products tonnage

Passenger

Air CarrierThe US Department of Transportation (USDOT)

the Bureau of Transportation Statistics Office of Air-line Information reports average trip length in itspublication Air Traffic Statistics These numbers arebased on 100-percent reporting of passengers and triplength by large certificated air carriers via BTS Form41 The figures do not include data for all airlinessuch as most scheduled commuter airlines and allnonscheduled commuter airlines

BusThe Eno Transportation Foundation Inc esti-

mated these figures based on Class I carrier passen-

Appendix E Data Source and Accuracy Statements

ger data and vehicle-miles data from HighwayStatistics an annually published report of theUSDOT Federal Highway Administration

Commuter RailThe American Public Transit Association (APTA)

provided these data which are based on theUSDOT Federal Transit Administrationrsquos (FTArsquos)National Transit Database Transit data are gener-ally accurate because the FTA reviews and validatesinformation submitted by individual transit agen-cies Reliability may vary because some transitagencies cannot obtain accurate information ormay misinterpret data APTA conservativelyadjusts FTA data to include transit operators thatdo not report to the database (private very smalland rural operators)

IntercityAmtrakThe Statistical Appendix to the Amtrak Annual

Report is the source of these data Amtrak data arebased on 100 percent of issued tickets and thusshould be accurate

TABLE 1-46 Top US Foreign Trade Freight Gateways by Value of Shipments 2001

The value of US air maritime and land importsand exports are captured from administrative doc-uments required by the US Departments of Com-merce and Treasury In 1990 the United Statesentered into a Memorandum of Understandingwith Canada concerning the exchange of importdata As a consequence each country is using theotherrsquos import data to replace its own export dataUS international merchandise trade statisticstherefore are no longer derived exclusively fromthe administrative records of the Departments ofCommerce and Treasury but from Revenue Can-ada Import value is for US general imports cus-toms value basis Export value is FAS (free alongship) and represents the value of exports at the USport of export including the transaction price andinland freight insurance and other charges Tradelevels reflect the mode of transportation as a ship-ment entered or exited a US Customs port

Truck rail pipeline mail and miscellaneousmodes are included in the total for land modesData present trade activity between the UnitedStates Puerto Rico and the US Virgin Islands andCanada and Mexico These statistics do not

include traffic between Guam Wake Island andAmerica Samoa and Canada and Mexico Thesestatistics also exclude imports that are valued atless than $1250 and for exports that are valued atless than $2500

TABLE 1-49 US Waterborne FreightThe data are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport their domestic waterborne traffic move-ments to USACE via ENG Forms 3925 and 3925bCargo movements are reported according to pointsof loading and unloading Certain cargo move-ments are excluded 1) cargo carried on general fer-ries 2) coal and petroleum products loaded fromshore facilities directly into vessels for fuel use 3)military cargo moved in US Department ofDefense vessels and 4) cargo weighing less than100 tons moved on government equipmentUSACE calculates ton-miles by multiplying thecargorsquos tonnage by the distance between points ofloading and unloading

Foreign waterborne statistics are derived fromCensus Bureau and US Customs data whichexcludes traffic between Guam Wake Island andAmerican Samoa and any other foreign countryand imports and exports used by US ArmedForces abroad Individual vessel movements withorigins and destinations at US ports traveling viathe Panama Canal are considered domestic traffic

TABLE 1-50 Tonnage of Top 50 US Water Ports Ranked by Total Tons

Data on the weight of US maritime imports andexports are captured from administrative docu-ments required by the US Departments of Com-merce and Treasury In 1990 the United Statesentered into a Memorandum of Understandingwith Canada concerning the exchange of importdata As a consequence each country is using theotherrsquos import data to replace its own export dataThe United Statesrsquo merchandise trade statisticstherefore are no longer derived exclusively fromUS government administrative records but fromRevenue Canada Maritime weight data are ini-tially processed and edited by the Foreign TradeDivision US Census Bureau (Census) as part ofthe overall edits and quality checks performed onall US international merchandise trade data

Appendix E Data Source and Accuracy Statements

After Census processing the US Army Corps ofEngineers (USACE) and the Maritime Administra-tion (MARAD) perform additional maritime-spe-cific processing and quality edits on maritime-related data elements including the weight of mari-time imports and exports The USACE andMARAD began performing this function in Octo-ber 1998 after the Foreign Waterborne Trade dataprogram was transferred from the Census BureauPrior to October 1998 the USACE historically per-formed additional specialized edits at the port levelincluding reassignment of some tonnage data to theactual waterborne port rather than the reportedUS Customs port

TABLE 1-46 Modal Shares of Freight Shipments within the United States by Domestic Establishments 1993 and 1997

TABLE 1-52 Value Tons and Ton-Miles of Freight Shipments within the United States by Domestic Establishment 1997

TABLE 1-55 US Hazardous Materials Shipments by Mode of Transportation 1997

TABLE 1-56 US Hazardous Materials Shipments by Hazard Class 1997

These data are collected via the 1997 Commod-ity Flow Survey (CFS) undertaken through a part-nership between the US Department ofCommerce Census Bureau (Census) and the USDepartment of Transportation Bureau of Trans-portation Statistics For the 1997 CFS Censusconducted a sample of 100000 domestic establish-ments randomly selected from a universe of about800000 multiestablishment companies in the min-ing manufacturing wholesale trade and selectedretail industries It excluded establishments classi-fied as farms forestry fisheries governments con-struction transportation foreign services andmost retail

Reliability of the EstimatesAn estimate based on a sample survey potentially

contains two types of errorsmdashsampling and non-sampling Sampling errors occur because the esti-mate is based on a sample not on the entireuniverse Nonsampling errors can be attributed tomany sources in the collection and processing of

the data and occur in all data not just those from asample survey The accuracy of a survey result isaffected jointly by sampling and nonsamplingerrors

Sampling VariabilityBecause the estimates are derived from a sample

of the survey population results are not expectedto agree with those that might be obtained from a100-percent census using the same enumerationprocedure However because each establishmentin the Standard Statistical Establishment List had aknown probability of being selected for samplingestimating the sampling variability of the estimatesis possible The standard error of the estimate is ameasure of the variability among the values of theestimate computed from all possible samples of thesame size and design Thus it is a measure of theprecision with which an estimate from a particularsample approximates the results of a complete enu-meration The coefficient of variation is the stan-dard error of the estimate divided by the valuebeing estimated It is expressed as a percent Notethat measures of sampling variability such as thestandard error or coefficient of variation are esti-mated from the sample and are also subject to sam-pling variability Standard errors and coefficientsof variation for CFS data presented in this reportare given in Appendix B of the 1997 EconomicCensus report and are available online wwwcen-susgoveconwwwse0700html

Nonsampling ErrorsIn the CFS as in other surveys nonsampling

errors can be attributed to many sources including1) nonresponse 2) response errors 3) differences inthe interpretation of questions 4) mistakes in cod-ing or recoding the data and 5) other errors of col-lection response coverage and estimation

A potentially large source of nonsampling erroris due to nonresponse which is defined as theinability to obtain all intended measurements orresponses from selected establishments Nonre-sponse is corrected by imputation

TABLE 1-53 Value of US Land Exports to and Imports from Canada and Mexico by Mode

The Transborder Surface Freight Data (TSFD) isderived from official US international merchan-

Appendix E Data Source and Accuracy Statements

dise import and export data (For a description ofUS merchandise trade statistics see wwwcen-susgovforeign-tradewwwindexhtml) As ofDecember 1995 about 96 percent of the value ofall US imports has been collected electronically bythe Automated Broker Interface System About 55percent of the value of all US exports is collectedelectronically through the USCanada DataExchange and the Automated Export ReportingProgram The balance is collected from adminis-trative records required by the US Departments ofCommerce and Treasury

The TSFD incorporates all data by surfacemode on shipments entering or exiting the UnitedStates from or to Canada or Mexico Prior to Jan-uary 1997 this dataset also included transship-mentsmdashshipments entering or exiting the UnitedStates by way of US Customs ports on the north-ern or southern borders even when the actual ori-gin or final destination of the goods was other thanCanada or Mexico (In other US Bureau of theCensus trade statistics transshipments throughCanada and Mexico are credited to the true coun-try of origin or final destination) To make thisdataset more comparable to other US CensusBureau trade statistics detailed information ontransshipments has been removed The TSFD pre-sents a summary of transshipments by countrydirection of trade and mode of transportationShipments that neither originate nor terminate inthe United States (ie intransits) are beyond thescope of this dataset because they are not consid-ered US international trade shipments

In general the reliability of US foreign tradestatistics is very good Users should be aware thattrade data fields (eg value and commodity classi-fication) are typically more rigorously reviewedthan transportation data fields (eg the mode oftransportation and port of entryexit) Usersshould also be aware that the use of foreign tradedata to describe physical transportation flows maynot be accurate For example this dataset providessurface transportation information for individualUS Customs districts and ports on the northernand southern borders However because of filingprocedures for trade documents these ports mayor may not record where goods physically cross theborder This is because the information filer maychoose to file trade documents at one port whileshipments actually enter or exit at another port

The TSFD however is the best publicly availableapproximation for analyzing transborder transpor-tation flows Since the dataset was introduced inApril 1993 it has gone through several refinementsand improvements When improbabilities andinconsistencies were found in the dataset extensiveanalytical reviews were conducted and improve-ments made However accuracy varies by direc-tion of trade and individual field For exampleimport data are generally more accurate thanexport data This is primarily because the USCustoms Bureau uses import documents forenforcement purposes while it performs no similarfunction for exports For additional informationon TSFD the reader is referred to the US Depart-ment of Transportation Bureau of TransportationStatistics Internet site at wwwbtsgovtransborder

TABLE 1-54 Crude Oil and Petroleum Products Transported in the United States by Mode

PipelinesThe Association of Oil Pipelines (AOPL) obtains

barrel-miles from the Federal Energy RegulatoryCommission (FERC) which requires petroleumshippers to report annual shipments AOPL thenconverts barrel-miles to ton-miles using conversionfigures in the American Petroleum Institutersquos(APIrsquos) Basic Petroleum Data Book Since 16 per-cent of pipeline shipments are intrastate and notsubject to FERC reporting requirements AOPLmakes adjustments to FERC data to include intra-state shipments AOPL also conducts periodicstudies to estimate intrastate shipments

Water CarriersData are from Waterborne Commerce of the

United States published by the US Army Corps ofEngineers (USACE) All vessel operators of recordreport domestic freight and tonnage information toUSACE via ENG Forms 3925 and 3925b Cargomovements are reported according to points of load-ing and unloading Certain cargo movements areexcluded 1) cargo carried on general ferries 2) coaland petroleum products loaded from shore facilitiesdirectly into vessels for fuel use 3) military cargomoved in US Department of Defense vessels and 4)cargo weighing less than 100 tons moved on govern-ment equipment USACE calculates ton-miles by

Appendix E Data Source and Accuracy Statements

multiplying the cargorsquos tonnage by the distancebetween the points of loading and unloading

Motor CarriersAOPL estimates ton-miles by multiplying tons by

the average length of haul For crude the tonnageof the prior year is projected by using a growth rateestablished by data from the US Department ofEnergy Energy Information Administrationrsquos Petro-leum Supply Annual vol 1 table 37 For productsthe same calculation is made but with a growth rateestimated by the American Trucking Association inFinancial and Operating Statistics Class I and IIMotor Carriers Summary table VI-B Averagelength of haul is determined from the prior six yearsof data for ton-miles and tonnage of crude andpetroleum products moved by motor carriers

RailroadAOPL calculates ton-miles by multiplying ton-

nage by average length of haul Tonnage data forcrude and products comes from the Association ofAmerican Railroadrsquos Freight Commodity StatisticsUS Class I Railroads The US Department ofTransportation Federal Railroad Commission pro-vides the average length of haul for crude andproducts in its Carload Way Bill Statistics

TABLE 1-57 Worldwide Commercial Space Launches

The US Department of Transportation FederalAviation Administration Associate Administratorfor Commercial Space Transportation (AST) licensesand regulates US commercial space launches asauthorized by the Commercial Space Launch Act of1984 and Executive Order 12465 Every commer-cial space launch must be approved and monitoredby AST Thus data reliability is high

TABLE 1-58 Passengers Denied Boarding by the Largest US Air Carriers

TABLE 1-59 Mishandled-Baggage Reports Filed by Passengers with the Largest US Air Carriers

TABLE 1-60 Flight Operations Arriving On Time for the Largest US Air Carriers

These numbers are based on data filed with theUS Department of Transportation on a monthly

basis by the largest US air carriers ndash those thathave at least one percent of total domestic sched-uled-service passenger revenues Data cover non-stop scheduled service flights between pointswithin the United States (including territories) Thelargest US carriers account for more than 90 per-cent of domestic operating revenues They includeAlaska Airlines America West Airlines AmericanAirlines Continental Airlines Delta Air LinesNorthwest Airlines Trans World Airlines South-west Airlines United Airlines and US AirwaysHowever there are other carriers offering domesticscheduled passenger service that are not required toreport In some cases major airlines sell tickets forflights that are actually operated by a smaller air-line that is not subject to the reporting requirement

TABLE 1-61 US Air Carrier Delays Greater than 15 Minutes by Cause

The source of these data the US Department ofTransportation (USDOT) Federal Aviation Admin-istration (FAA) counts a flight as delayed if itdeparted or arrived more than 15 minutes after itsscheduled gate departure and arrival times FAAcalculates delayed departures based on the differ-ence between the time a pilot requests FAA clear-ance to taxi and the time an aircraftrsquos wheels lift offthe runway minus the airportrsquos standard unim-peded taxi-out time Users should note that taxi-out time varies by airport due to differences in con-figurations The cause of delay is also recordedeg weather terminal volume closed runways etc

USDOT guidance defines departure as the timethe aircraft parking brake is released and gatearrival as the time the brake is set According tothe USDOTrsquos Office of the Inspector General(OIG) FAArsquos omission of part of a planersquos groundmovement compromises the datarsquos validity Arecent OIG report noted that the FAA tracksground time only after a pilot requests clearanceand fails to track a planersquos time in the ramp areaOIG found that ramp time comprised 287 percentto 405 percent of the average taxi-out time at thethree major New York area airports (OIG AuditReport CR-2000-112) and would not be countedas an FAA delay

ReliabilitySeveral data collection changes complicate com-

parisons over time For example FAA modified its

Appendix E Data Source and Accuracy Statements

method for calculating volume-related delays thatresulted in a 17 percent drop in such delaysDecreases in volume-related delays from 1998 to1999 totaled less than one percent Moreoverprior to 1999 USDOT did not provide a clear defi-nition of what a departure was An OIG Audit(CE-1999-054) report noted that air carriers usedfour different departure events 1) rolling of air-craft wheels 2) release of parking brake 3) closureof passenger andor cargo doors and 4) a combina-tion of door closures and release of the parkingbreak The same report also noted errors in thereporting of departure times by the air carriers

Data are now manually entered in FAArsquos Opera-tions Network (OSPNET) database and report-ing errors may arise and decrease reliability TheFAA monitors data quality assurance by spotchecking the reported delay data and requestingthat discrepancies be reviewed by the responsiblefacility According to an OIG Audit (CR-2000-112) however mistakes are not reliably correctedand many air traffic controllers suggested thatdelays are underreported sometimes by as muchas 30 percent

TABLE 1-62 Major US Air Carrier Delays Cancellations and Diversions

A second data source for air-carrier delay is theUSDOT Bureau of Transportation StatisticsOffice of Airline Information (OAI) This informa-tion originates from the Airline Service Quality Per-formance data These figures are collected fromthe largest airlinesmdashthose that have at least onepercent or more of total domestic scheduled servicepassenger revenues Delays are categorized byphase of flight (ie gate-hold taxi-out airborneor taxi-in delays) These data differ from FAArsquosOSPNET information due to differences in defini-tion of delay

While the FAA tracks delays on the taxiway run-way and in the air BTS tracks delays at the depar-ture and arrival gates OAI calculates delays as thedifference between scheduled and actual gatedeparture If a flight leaves the gate within 15 min-utes of its scheduled time then OAI would recordit as departed on-time even if it sat for severalhours on the ramp or runway in which case thedelay would be accounted for as a late arrival

TABLE 1-63 Annual Person-Hours of Delay Per Person

TABLE 1-64 Roadway Congestion Index

TABLE 1-65 Congestion Index and Cost ValuesThe Texas Transportation Institutersquos (TTI) Urban

Roadway Congestion Annual Report provided fig-ures for tables 1-60 through 62 TTI relies on datafrom the US Department of Transportation Fed-eral Highway Administration Highway Perfor-mance Monitoring System database (HPMS) TTIutilizes these data as inputs to its congestion estima-tion model Detailed documentation for the TTImodel and estimations can be found at this websitehttpmobilitytamuedu

Structure Assumptions and ParametersUrban roadway congestion levels are estimated

using a formula measuring traffic density Averagetravel volume per lane on freeways and principalarterial streets are estimated using area wide esti-mates of vehicle-miles of travel (vmt) and lanemiles of roadway The resulting ratios are com-bined using the amount of travel on each portionof the system so that the combined index measuresconditions on the freeway and principal arterialstreet systems Values greater than one are indica-tive of undesirable congestion levels Readers seek-ing the algorithm for the congestion index shouldexamine this websitehttpmobilitytamuedu

Annual person-hours of delay results from themultiplication of daily vehicle-hours of incidentand recurring delay times 250 working days peryear times 125 persons per vehicle Two types ofcosts are incurred due to congestion time delayand fuel consumption Delay costs are the productof passenger vehicle hours of delay times $1285per hour person time value times 125 occupantsper vehicle Fuel costs are calculated for passengerand commercial vehicles from the multiplication ofpeak period congestion speeds the average fueleconomy fuel costs and vehicle-hours of delay

In previous reports the TTI methodologyassumed that 45 percent of all traffic regardless ofthe urban location occurred in congested condi-tions TTI indicated that this assumption overesti-mated travel in congested periods Thus their2002 estimates now vary by urban area anywherefrom 18 percent to 50 percent of travel that occurs

Appendix E Data Source and Accuracy Statements

in congestion TTIrsquos model structure applies to twotypes of roads freeways and principal arterialstreets The model derives estimates of vehicle traf-fic per lane and traffic speed for an entire urbanarea Based on variation in these amounts travel isthen classified under 5 categories uncongestedmoderately congested heavily congested severelycongested and extremely congested (a new cate-gory in 1999) The threshold between uncongestedand congested was changed in 2002 Previous edi-tions classified congested travel when areawidetraffic levels reached 14000 vehicles per lane perday on highways and 5500 vehicles per lane perday on principal arterial streets For the currentedition these values are 15500 and 5500 vehiclesper lane per day respectively Previous years valueshave been re-estimated based on these newassumptions Readers should refer to the TTI Inter-net site for more detailed algorithms and estima-tion procedures at httpmobilitytamuedu

TTI reviews and adjusts the data used in theirmodels State and local officials also review the

TTI data and estimations Some of the limitationsacknowledged in the TTI report include the macro-scopic character of the index Thus it does notaccount for local variations in travel patterns thatmay affect travel times The index also does notaccount for local improvements such as rampmetering or travel speed advantages obtained withtransit or carpool lanes

TABLE 1-66 Amtrak On-Time Performance Trends and Hours of Delay by Cause

Amtrak determines on-time performancethrough its computer system maintained at theNational Operations Center (NOPS) in Wilming-ton Delaware If a train is delayed a call is madeto the NOPS for recordkeeping These data can besupplemented with computer entries made forlocomotive or car malfunctions that cause delaysThese data should be considered reliable

Appendix E Data Source and Accuracy Statements

Chapter 2 Safety

AIR DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Injured Persons by Transportation Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-7 Transportation-Related Occupational Fatalities

TABLE 2-9 US Air Carrier Safety Data

TABLE 2-10 US Commuter Air Carrier Safety Data

TABLE 2-11 US Air Carrier Fatal Accidents by First Phase of Operation

TABLE 2-12 US Commuter Air Carrier Fatal Accidents by First Phase of Operation

TABLE 2-13 US On-Demand Air Taxi Safety Data

TABLE 2-14 US General Aviation Safety DataNational Transportation Safety Board investiga-

tors perform onsite and offsite investigations of allaccidents involving US registered air carriers oper-ating under 14 CFR 121 14 CFR 135 and generalaviation US Department of Transportation(USDOT) Federal Aviation Administration (FAA)regulations The investigators compile informationon fatalities and injuries for all accidents Thecounts for fatalities and serious injuries areexpected to be extremely accurate (See glossaryfor serious injury definition)

Exposure data (aircraft-miles aircraft-hoursand aircraft-departures) are obtained from theFAA which in turn gets some of its exposure datafrom the USDOT Bureau of Transportation Statis-tics Office of Airline Information (OAI) and otherexposure data from its own General Aviation andAir Taxi Activity and Avionics (GAATAA) SurveyThe OAI data represent 100 percent reporting byairlines Tables that include air carriers (14 CFR121 scheduled and nonscheduled service) andcommuter air carriers (14 CFR 135 scheduled ser-vice only) use OAI exposure data Tables thatinclude on-demand air taxi (14 CFR 135 non-

scheduled service) and general aviation useGAATAA Survey results For information aboutthe GAATA Survey please refer to the chapter 1data accuracy statement for table 1-9

The coefficients of variation for aircraft-hoursvary by year but are usually in the 9 to 10 percentrange for on-demand air taxi and are approxi-mately 2 percent for general aviation

TABLE 2-15 Number of Pilot-Reported Near Midair Collisions by Degree of Hazard

Near Midair Collision reports are provided vol-untarily by air carriers general aviation companiesand the military and this information is added tothe Near Midair Collisions System database Fac-tors that may influence whether or not a near mid-air collision is reported include the pilotrsquos or othercrew memberrsquos perception of whether a reportablenear midair collision occurred which in turn candepend on factors such as visibility conditions thereporterrsquos flying experience or the size of the air-craft involved A reportable incident is one inwhich an aircraft is within 500 feet of another air-craft and a possibility of collision existed

TABLE 2-16 Airline Passenger Screening Results by Type of Weapons Detected Persons Arrested and Bomb Threats Received

Federal Aviation Regulations (FARs) mandatethat passenger screening be performed by each aircarrier required to implement an approved securityprogram The USDOT Federal Aviation Adminis-tration monitors the records of passenger screen-ing in accordance with FAR and overseescompliance with the carriersrsquo security programsthrough for example scheduled and unscheduledinspections FAR requires the reporting of infor-mation on bomb threats

HIGHWAY DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

Appendix E Data Source and Accuracy Statements

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-5 Highway-Rail Grade-Crossing Safety Data and Property Damage

TABLE 2-7 Transportation-Related Occupational Fatalities

TABLE 2-17 Motor Vehicle Safety Data

TABLE 2-18 Motor Vehicle Fatalities Vehicle-Miles and Associated Rates by Highway Functional System

TABLE 2-19 Occupant Fatalities by Vehicle Type and Nonoccupant Fatalities

TABLE 2-21 Passenger Car Occupant Safety Data

TABLE 2-22 Motorcycle Ride Safety Data

TABLE 2-23 Truck Occupant Safety Data

TABLE 2-24 Bus Occupant Safety Data

TABLE 2-25 Fatalities by Highest Blood Alcohol Concentration in Highway Crashes

TABLE 2-27 Motor Vehicle Fatal Crashes by Day of Week Time of Day and Weather and Light Conditions

TABLE 2-28 Motor Vehicle Fatal Crashes by Posted Speed Limit

TABLE 2-20 Occupant and Nonmotorist Fatalities in Crashes by Number of Vehicles and Alcohol Involvement

FatalitiesHighway fatality data come from the Fatality

Analysis Reporting System (FARS) which is com-piled by trained FARS analysts at USDOTNational Highway Traffic Safety Administration(NHTSA) regional offices Data are gathered froma census of police accident reports (PARs) statevehicle registration files state drivers licensing filesstate highway department data vital statisticsdeath certificates coronermedical examinerreports hospital medical reports and emergencymedical service reports A separate form is com-pleted for each fatal crash Blood alcohol concen-tration (BAC) is estimated when not known

Statistical procedures used for unknown data inFARS can be found in the NHTSA report Transi-tioning to Multiple Imputation - A New Method toImpute Missing Blood Alcohol Concentration(BAC) Values in FARS DOT HS 809 403 (Wash-ington DC January 2002)

Data are collected from relevant state agenciesand electronically submitted for inclusion in theFARs database on a continuous basis Cross-verifi-cation of PARs with death certificates ensures thatundercounting is rare Moreover when data areentered they are checked automatically for accept-able range values and consistency enabling quickcorrections when necessary Several programs con-tinually monitor the data for completeness andaccuracy Periodically sample cases are analyzedfor accuracy and consistency

Note that the FARS data do not include motorvehicle fatalities on nonpublic roads Howeverprevious NHTSA analysis found that these fatali-ties account for 2 percent or fewer of the totalmotor vehicle fatalities per year (See glossary forhighway fatality definition)

Injuries and CrashesNHTSArsquos General Estimates System (GES) data

are a nationally representative sample of police-reported crashes that contributed to an injury orfatality or resulted in property damage andinvolved at least one motor vehicle traveling on atrafficway Trained GES data collectors randomlysample PARs and forward copies to a central con-tractor for coding into a standard GES system for-mat Documents such as police diagrams orsupporting text provided by the officers may befurther reviewed to complete a data entry

NHTSA suggests that about half of motor vehi-cle crashes in the United States are not reported topolice and that the majority of these unreportedcrashes involve minor property damage and no sig-nificant personal injury A NHTSA study of inju-ries from motor vehicle crashes estimated the totalcount of nonfatal injuries at over 5 million com-pared with the GESrsquos estimate of 32 million in1998 (See glossary for highway crash and injurydefinitions)

(See US Department of TransportationNational Highway Traffic Safety AdministrationTraffic Safety Facts 2000 DOT HS 809 337(Washington DC December 2001) appendices B

Appendix E Data Source and Accuracy Statements

and C for further information on GES including atable of standard errors applicable to GES data)

TABLE 2-29 Safety Belt and Motorcycle Helmet Use

The National Occupant Protection Use Survey(NOPUS) conducted biennially between 1994 and2000 by the US Department of TransportationNational Highway Traffic Safety Administration isthe source for these data

In 1994 and 1996 NOPUS consisted of three sep-arate studies 1) the Moving Traffic Study whichprovides information on overall shoulder belt use 2)the Controlled Intersection Study which providesmore detailed information about shoulder belt useby type of vehicle characteristics of the belt usersand child restraint use and 3) the Shopping CenterStudy which provides information on rear-seat beltuse and shoulder belt misuse In 1998 the ShoppingCenter Study was dropped from the survey TheControlled Intersection Study includes the collectionof license plate information to link seat belt use tovehicle type As the results of the Controlled Inter-section Study for 2000 were not available prior topublication only the Moving Traffic Study datawere used in this table

In 1998 NOPUS separated pickups from thelight truck category thereby creating three categor-ies of passenger vehicles passenger cars pickuptrucks and other passenger vehicles Other pas-senger vehicles include vans minivans and sportutility vehicles In this table 1998 and 2000 datafor pickup trucks and other passenger vehicles arecombined into the light truck category to allowcomparison to data from the earlier surveys

In 1994 operators and riders wearing any typeof helmet were counted as helmeted In 19961998 and 2000 motorcycle helmets that meetUSDOT standards are counted as valid protectionwhereas those that do not meet USDOT standardswere treated as if the operatorrider were not wear-ing a helmet

Data collection from the Moving Traffic Studywas conducted at 2063 sites across the countryShoulder belt use was obtained for drivers andright-front passengers only Three observers (twoobservers in 1994 and 1996) were stationed for 30minutes at interstatehighway exit ramps con-trolled (intersections with stop signs or traffic sig-nals) and uncontrolled intersections Every day of

the week and all daylight hours (8 am to 6 pm)were covered in each survey Commercial andemergency vehicles were excluded

NOPUS was designed as a multistage probabilitysample to ensure that the results would representoccupant protection use in the country In the firststage counties were grouped by regions (northeastmidwest south west) level of urbanization (met-ropolitan or not) and level of belt use (highmedium or low) Fifty counties or groups of coun-ties were selected based on vehicle miles of travel inthose locations In the next stage roadways wereselected from two categories major roads andlocal roads Of the originally selected sites somewere found to be ineligible during mapping anddata collection and at some sites no vehicles wereobserved In 2000 a total of 157694 passengervehicles were observed 93916 passenger cars and63778 light trucks (of which 24747 were pickuptrucks and 39031 were other passenger vehicles)645 motorcycles were also observed during the2000 NOPUS

Each reported estimate has been statisticallyweighted according to the sample design Twokinds of error can be attributed to all surveyresearch sampling and nonsampling A measurecalled the standard error is used to indicate themagnitude of sampling error The source informa-tion provides two standard errors along with eachestimate Nonsampling errors could include prob-lems such as vehicles not counted incorrect deter-mination of restraint use and data entry mistakesamong others

TABLE 2-30 Estimated Number of Lives Saved by Use of Restraints

The US Department of TransportationNational Highway Traffic Safety Administration(NHTSA) uses data obtained from the FatalityAnalysis Reporting System to calculate the numberof lives saved by the use of restraints The method-ology used is outlined in a NHTSA reportResearch Note Estimating Lives Saved byRestraint Use in Potentially Fatal Crashes (Wash-ington DC June 1995) The general approach isto adjust the observed number of fatalities by adetermined effectiveness rate for each type ofrestraint This equates to subtracting the actualfatalities from the potential fatalities to determinethe number of lives saved This method is more

Appendix E Data Source and Accuracy Statements

accurate than earlier estimation methods since allcalculations are derived from NHTSArsquos count offatalities in which restraints were used Reportedrestraint use is believed to be accurate for fatalities

The key to NHTSArsquos calculations is the effective-ness estimate for preventing fatalities for each typeof restraint With the exception of an adjustmentin the effectiveness estimate for front outboard airbag-only restraint use in passenger cars (NHTSAFourth Report to Congress Effectiveness of Occu-pant Protection Systems and Their Use Washing-ton DC May 1999) a list of effectivenessestimates can be found in a NHTSA report Esti-mating Alcohol Involvement in Fatal Crashes inLight of Increases in Restraint Use published inMarch 1998This report also includes additionalreferences describing the determination of theseeffectiveness estimates

TRANSIT DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-31 Transit Safety and Property Damage Data

TABLE 2-32 Transit Safety Data by Mode for All Reported Accidents

TABLE 2-33 Transit Safety Data by Mode for All Reported Incidents

TABLE 2-34 Reports of Violent Crime Property Crime and Arrests by Transit Mode

The data for this report are obtained from theUS Department of Transportation Federal TransitAdministrations (FTAs) National Transit Data-base (NTD) Reporting System Transit agenciesare required to file an NTD report at regular inter-vals if they are recipients of Urbanized Area For-mula Funds In 2000 592 agencies reported to theNTD Of that total 67 transit agencies receivedexemptions from detailed reporting because theyoperated 9 or fewer vehicles and 7 were deletedbecause their data were incomplete Thus 518

individual reporters were included in the NTDaccounting for 90 to 95 percent of passenger-milestraveled on transit Of the transit agencies report-ing 237 percent contract for some or all of theirtransportation from private or public companies ororganizations

Transit operators report fatalities injuries acci-dents incidents and property damage in excess of$1000 Electronic reporting has recently beenimplemented for the NTD Certification from acompanyrsquos Chief Executive Officer must accom-pany all NTD reports along with an independentauditorrsquos statement Upon receipt an NTD reportis reviewed and outstanding items noted in writ-ing to the agency that submitted the form (Seeglossary for transit fatality injury and accidentdefinitions)

Four major categories of transit safety are col-lected 1) collisions 2) derailmentsbuses going offthe road 3) personal casualties and 4) fires Thesemajor categories are divided into subcategoriesThe collisions category comprises collisions withvehicles objects and people (except suicides) Ofthe four major categories only the first two areincluded in the definition of transit accidentsadopted in this report (see glossary) Understand-ing this definition of accident is relevant to under-standing how double counting is removed in thegrand total of US transportation fatalities andinjuries (See cross modal comments in box 2-1)

Transit data submitted to the NTD are generallyconsidered accurate because the FTA reviews andvalidates information submitted by individual tran-sit agencies However reliability may vary becausesome transit agencies cannot obtain accurate infor-mation or misinterpret data

SecurityFTA collects security data from transit agencies

serving urbanized areas of over 200000 in popula-tion using Form 405 and manages it in theNational Transit Database (NTD) The reportingof security data follows the FBI Uniform CrimeReporting Handbook (Washington DC 1984) andis divided into two categories 1) ReportedOffenses including violent and property crime and2) Arrests consisting of less serious crimes Thefigures for violent and property crime are based onrecords of calls for service complaints andorinvestigations They do not reflect the findings of a

Appendix E Data Source and Accuracy Statements

court coroner jury or decision of a prosecutorSecurity data were first reported in 1995 and werenot compiled for earlier years

In 2000 the number of agencies reporting to thisdatabase was 592 Of that 67 transit agenciesreceived exemptions from detailed reportingbecause they operated nine or fewer vehicles andseven were deleted because their data were incom-plete Thus 518 individual reporters are includedin the full database in 2000 Of the transit agenciesreporting 237 percent contract for some or all oftheir transportation from private or public compa-nies or organizations

RAILROAD DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-5 Highway-Rail Grade-Crossing Safety Data and Property Damage

TABLE 2-7 Transportation-Related Occupational Fatalities

TABLE 2-35 Railroad and Grade-Crossing Fatalities by Victim Class

TABLE 2-36 Railroad and Grade-Crossing Injured Persons by Victim Class

TABLE 2-37 Train Fatalities Injuries and Accidents by Type of Accident

TABLE 2-38 Railroad Passenger Safety Data

TABLE 2-39 Railroad System Safety and Property Damage Data

TABLE 2-40 Fatalities and Injuries of On-Duty Railroad Employees

Railroads are required to file a report for eachtrain accident resulting in property damage inexcess of $6600 each highway-rail accident andeach incident involving the operation of a railroadresulting in a fatality or a reportable injury (See

glossary for reportable injury train accident andincident and nontrain incident definitions)

Reporting requirements which are fixed in laware very broad and encompass events not strictlyrelated to transportation For example if a passen-ger falls on a staircase and breaks a leg in the sta-tion while going to a train the injury would bereported and appear in the data as a rail injury

WATERBORNE TRANSPORTATION DATA

TABLE 2-1 Transportation Fatalities by ModeTABLE 2-2 Transportation Injuries by ModeTABLE 2-3 Transportation Accidents by ModeTABLE 2-4 Distribution of Transportation Fatalities by ModeTABLE 2-7 Transportation-Related Occupational FatalitiesTABLE 2-41 Waterborne Transportation Safety Data and Property Damage Related to Vessel CasualtiesTABLE 2-42 Waterborne Transportation Safety Data Not Related to Vessel Casualties

US waterborne fatality and injury data arebased on reports required by CFR Part 405-10This code requires that the owner agent master

Box 2-1Cross-Modal Comparisons

Caution must be exercised in comparing fatalities(and injuries) across modes because different defini-tions for reportable events are used among the modesIn particular rail and transit facilities and injuriesinclude deaths and injuries that are not strictly speak-ing caused by transportation accidents but arecaused by such events as a fall on a transit stationescalator or for railroad employees a fire in a work-shed Similar fatalities for the air and highway modes(death at airports not caused by moving aircraft orfatalities from accidents in automobile repair shops)are not counted towards the totals for these modes

Total fatalities (injuries) in the tables are less thanthe sum of the modal totals because some deaths(injuries) are reported and counted in more than onemode To avoid double counting adjustments havebeen made to fatality totals (see table 2-4)

Appendix E Data Source and Accuracy Statements

operator or person in charge file a written reportof any marine casualty or accident within five daysof the accident Reports must be delivered toInvestigative Officers (IOs) at a US Coast GuardMarine Safety Office or Marine Inspection Officeat the US Department of Transportation who usethese reports as guides to investigate the marinecasualty or accident The IO ensures that all theentries on the forms are filled out and errors arecorrected Regulations require IO notification ofmarine casualties for certain circumstances includ-ing loss of life injuries that require medical treat-ment beyond first aid and for individuals engagedor employed onboard a vessel in commercial ser-vice injuries that render a person unfit to performroutine duties

Incidents requiring an investigation includedeath injury resulting in substantial impairmentand other incidents determined important to pro-moting the safety of life or property or to protectthe marine environment These incidents are inves-tigated in accordance with procedures set forth inthe regulations Furthermore the Federal WaterPollution Control Act mandates that certain inci-dents be reported to the US Coast Guard Thereports are entered into the Marine Safety Informa-tion System which is later analyzed and transferredto the Marine Safety Management System main-tained in Washington DC

RECREATIONAL BOATING DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-43 Recreational Boating Safety Alcohol Involvement and Property Damage Data

TABLE 2-44 Personal Watercraft Safety Data

TABLE 2-45 US Coast Guard Search and Rescue Statistics Fiscal Years

Operators of boats involved in an accidentresulting in 1) a fatality 2) an injury requiring med-ical treatment beyond first aid 3) damage to the

vessel or other property greater than $500 or com-plete loss of vessel or 4) the disappearance of aperson from the vessel under circumstances indicat-ing death or injury are required to file a report withthe US Coast Guard If a person dies within 24hours of the occurrence requires medical treatmentbeyond first aid or disappears from the vesselreports must be made within 48 hours of the occur-rence In cases involving only damage to the vesselandor property reports are to be submitted within10 days of the occurrence Although there is noquantitative estimate of the response rate theremay be considerable underreporting especially ofnonfatal accidents because of the difficulty ofenforcing the requirement and because boat opera-tors may not always be aware of the law

NATURAL GAS AND LIQUID PIPELINE DATA

TABLE 2-1 Transportation Fatalities by Mode

TABLE 2-2 Transportation Injuries by Mode

TABLE 2-3 Transportation Accidents by Mode

TABLE 2-4 Distribution of Transportation Fatalities by Mode

TABLE 2-46 Hazardous Liquid and Natural Gas Pipeline Safety and Property Damage Data

US fatality and injury data for natural gaspipelines are based on reports filed with the USDepartment of Transportation (USDOT) Officeof Pipeline Safety (OPS) Accidents must bereported as soon as possible but no later than 30days after discovery Reports are sent to theInformation Systems Manager at the OPS Possi-ble sources of error include a release going unde-tected even if subsequently detected and reportedit may not be possible to accurately reconstructthe accident Property damage figures are esti-mates (See glossary for gas and liquid pipelinefatality data and injury definitions)

TABLE 2-6 Hazardous Materials Safety Data and Property Damage Data

Incidents resulting in certain unintentionalreleases of hazardous materials must be reportedunder 49 CFR 17116 Each carrier must submit a

Appendix E Data Source and Accuracy Statements

report to the US Department of TransportationResearch and Special Programs Administration(RSPA) within 30 days of the incident includinginformation on the mode of transportationinvolved results of the incident and a narrativedescription of the accident These reports are madeavailable on the incident database within 60 daysof receipt

Fatalities and injuries are counted only if theyare directly due to a hazardous material Forexample a truck operator killed by impact forcesduring a motor vehicle crash would not be countedas a hazardous-material fatality RSPA verifies allreported fatalities and injuries by telephone withthe carrier submitting the report

Possible sources of error include a release goingundetected even if subsequently detected and

reported it may not be possible to accuratelyreconstruct the accident Although RSPA acknowl-edges that there is some level of underreporting itbelieves that the underreporting is limited to smallnonserious incidents As incident severityincreases it is more likely that the incident willcome to RSPArsquos attention and will ultimately bereported Additionally the reporting requirementswere extended to intrastate highway carriers onOctober 1 1998 and the response rate from thisnew group is expected to increase over time Prop-erty damage figures are estimates determined bythe carrier prior to the 30-day reporting deadlineand are generally not subsequently updated Prop-erty damage figures therefore may underestimateactual damages

Appendix E Data Source and Accuracy Statements

Chapter 3 Transportation and the Economy

TABLE 3-1a amp 3-1b US Gross Domestic Product Attributed to For-Hire Transportation Services (Current and chained 1996 dollars)

TABLE 3-2a amp 3-2b US Gross Domestic Product Attributed to Transportation-Related Final Demand (Current and chained 1996 dollars)

TABLE 3-3a amp 33b US Gross Domestic Demand Attributed to Transportation-Related Final Demand (Current and chained 1996 dollars)

TABLE 3-4a amp 3-4b Contributions to Gross Domestic Product Selected Industries (Current and chained 1996 dollars)

TABLE 3-5 Gross Domestic Product by Major Social Function

Tables 3-1 through 3-5 present data on transpor-tations contributions to the economy through con-sumption (or the money spent on transportationactivity) The Survey of Current Business (SCB)published by the US Department of CommerceBureau of Economic Analysis (BEA) The SCB is amonthly journal that contains estimates of USeconomic activity including industry contributionsto the Gross Domestic Product (GDP) GDP isdefined as the net value of the output of goods andservices produced by labor and property located inthe United States BEA constructs two complemen-tary measures of GDP-one based on income andthe other on expenditures (product) Togetherthey represent the National Income and ProductAccounts (NIPA) our nations principle frame-work for macroeconomic estimates The productside results from the addition of labor capital andtaxes for producing output Consumption derivesfrom household business and government expen-ditures and net foreign purchases

Table 3-3 presents transportations economicimpact in a different form Gross DomesticDemand (GDD) Also derived from the nationalaccounts GDD is the sum of personal consump-tion gross private domestic investment and gov-ernment purchases GDD includes imports butexcludes exports thus counting only what is con-sumed purchased or invested in the United States

GDP MethodologyThe 1960 through 1985 data in table 3-1 are

from the November 1993 issue of the SCB The1990 through 1991 data and 1992 through 1996data are from an August 1996 and November1997 SCB issue respectively The October 1999issue introduced a revised methodology for GDPestimates (Yuskavage 1996) This section describesBEAs methodology for estimating transportationsshare of GDP

BEAs current-dollar estimates of GDP by indus-try rely on several sources including the Bureau ofLabor Statistics (BLS) the Health Care FinancingAdministration and the Internal Revenue Service(IRS) Some of the tables in this chapter reportchained-dollar figures BEA derived chained dol-lars by using the Fisher Ideal Quantity Index to cal-culate changes between adjacent years (Parker andTriplett 1996 Landerfeld and Parker 1997)Annual changes are then chained to form a timeseries that incorporates the effects of relative priceand output composition changes Please refer topage 142 of the August 1996 issue of the Survey ofCurrent Business for the mathematical formulas(Yuskavage 1996) This method produced sepa-rate estimates of gross output and intermediateinputs for a sectors GDP calculation BEA updatedthe reference year for the chained-dollar estimatesfrom 1992 to 1996

Transportation GDP in chained dollars wasestimated using the double-deflation methodwhich relies on a chain-type quantity index for-mula and requires gross output and intermediateinput information Principal source data for thetransportation categories include 1) operatingrevenues of air carriers and Federal Express fromthe US Department of Transportation and publicsources (air) 2) operating revenues for Class Imotor carriers from historical records of the Inter-state Commerce Commission and Census Bureauannual surveys (trucking and warehousing) 3)BEA personal consumption expenditures (PCE)BLS and trade sources (local and interurban pas-senger transit) 4) operating revenues for Class Irailroads and Amtrak (rail) and 5) other tradesources (pipelines) Data sources for water werenot provided (Yuskavage 1996)

Appendix E Data Source and Accuracy Statements

Table 3-1 reported current dollar estimates fromvarious SCB issues BEA derived the 1991 dataand subsequent years in four steps

1 BEAs benchmark input-output (I-O) tablesproduced input compositions for 1977 1982 and1987

2 BEA estimated 1978 through 1981 and 1983through 1986 input compositions by interpolatingthe 1977 1982 and 1987 figures

3 BEA estimates the 1977 through 1987imported and domestically imported shares of eachdetailed input

4 BEA estimates the 1988 through 1994 inputcompositions based on the 1987 figures and theEconomic Censuses of 1992

For intermediate input estimations BEA deflateseach of the current-dollar inputs (BEA deflatesimport and domestic production separately) Fordeflation quantities are approximated by real val-ues (expressed at present with 1996 as the baseperiod) that are calculated by dividing the current-dollar value of the component by its price indexBEA develops estimates for import prices with datafrom a variety of sources but primarily from theBLS import price series

Reliability and AccuracyBEA views GDP as a reliable measure of output

because of the source data underlying the esti-mates The following reliability comments arebased on the Valliant (1993) SCB article and Ritter(2000) GDP data originate from three types ofsources The foundational data come first from theeconomic censuses conducted every five yearsThese approach complete enumerations of sectoralactivity in state and local governments manufac-turing services retail trade wholesale trade con-struction transportation communications andutilities mining finance insurance and real estateAnnual estimates from the second tier of GDP dataand emanate from sources such as IRS tax returnsand smaller surveys of establishments The AnnualRetail Trade Survey for instance forms one of themajor components of the annual estimates TheUS Census Bureau collects sales and end-of-yearinventory data from about 22000 retail firmstotaling $2 trillion of the $88 trillion GDPamount While considered reliable by many econo-mists sampling variability may introduce errorsinto these annual estimates Moreover the Census

Bureau imputes (substitutes estimates for missingor clearly incorrect data) about 11 percent ofreported national annual retail sales because ofaccounting inconsistencies or raw survey dataerrors The third component of the GDP flowsfrom quarterly estimates

In the October 1993 SCB Valliant described thereliability and accuracy of the quarterly estimates ofGDP providing insights into the pre-1985 data interms of dispersion and bias BEA followed a sched-ule that produced three successive ldquocurrentrdquo esti-mates advanced preliminary and final BEAanalysts developed a dispersion and bias measurebased on the difference between these three estimates

Dispersion is the average of the absolute valuesof the revisions or the difference between P repre-senting the percentage change in the current esti-mates and L representing the percentage change inthe latest available estimates divided by n repre-senting the number of quarterly changes Bias isthe average of the revisions According to theOctober 1993 SCB dispersion averaged 16 per-cent from 1958 to 63 and dropped to 11 percentfor 1968 to 1972 BEA stated that these declines indispersion correspond with more accurate initialand final estimates subsequent to the late 1950sFor years after 1973 until 1991 the BEA con-cluded that more accurate source data for prelimi-nary and final estimates did not improve reliabilityby much BEA also determined that bias was notlarge enough from 1978 to 1991 to be significantunder normality assumptions at the five-percentconfidence level Overall for the period beginningin 1978 and covering the 1985 data from table 3-1the BEA concluded there was no evidence of reli-ability increases BEA also questioned its own esti-mating procedures and in particular the use ofdisparate sources of data which may explain whyreliability levels have not increased

The NIPA framework also undergoes majorupdates referred to as comprehensive or bench-mark revisions Eleven of these have been com-pleted including one in 1996 and most recently onOctober 28 1999 that provided the data for tables3-1 through 3-5 The major change encompassed adefinitional change reflecting our evolving eco-nomic system Software became a business invest-ment rather than just a ldquopurchased inputrdquo or theequivalent of raw material Unless the companyincreased the price of its product to cover software

Appendix E Data Source and Accuracy Statements

purchases no impact registered in the GDP Withthis benchmark revision the Census Bureauincreased the 1996 estimate by $115 billion or 15percentmdashthe amount of software investmentsmade in that year Another change involved theCensus Bureaus interpretation of the value ofldquounpricedrdquo banking services such as ATM (auto-matic teller machine) contributions to an establish-ments productivity Previously banking serviceproductivity relied only on an index constructedfrom labor input Economists argued that thisignored productivity gains from technologicalimprovements such as ATMs and electronic bank-ing The BLS developed a productivity basedinstead of bank transactions and this was used inthe 1999 revision For more detail readers shouldrefer to Moulton and Seskin (1999)

Sources of Error for GDP EstimatesThe GDP estimates can contain several kinds of

error One source of error arises from estimatesbased on preliminary or incomplete tabulations ofsource data or BEA judgment in the absence ofdata Errors may also arise because of samplingerrors and biases in monthly quarterly annual orperiodic tabulations Another source of potentialerror may arise when data are seasonally adjustedReaders should refer to the October 1993 SCBissue for more detail (Young 1993)

NIPA and Transportation-Related Final DemandFor table 3-2 transportation-related final

demand (TRFD) is from NIPA reported in the SCBIt represents the sum of all consumer and govern-ment expenditures for transportation purposesplus the value of goods and services purchased bybusiness as investment for transportation purposesSince TRFD includes only expenditures on the finalproducts of the economy it is comparable to GDPand provides a measure of transportations impor-tance from a consumption perspective

NIPA tables report the composition of produc-tion and the distribution of incomes earned in pro-duction The totals of these produce a GDPestimate that should theoretically be equal butthere is always a difference referred to as the ldquosta-tistical discrepancyrdquo NIPA is based on four subac-counts of national economic activity Theseinclude 1) the personal income and outlay account2) the gross savings and investment account 3) the

government receipts and expenditures account and4) the foreign transactions account

Personal Consumption Expenditures (PCE) fortransportation include 1) road motor vehicles suchas new and used automobiles and motorcycles 2)motor vehicle parts such as tires tubes accesso-ries 3) motor fuels and lubricants and 4) transpor-tation services such as repair greasing washingparking storage rental leasing tolls insuranceand purchased local and intercity transportationservices Motor vehicles used primarily for recre-ation boats noncommercial trailers and aircraftare excluded

Gross private domestic fixed investment in trans-portation includes private purchases of transporta-tion structures and equipment Transportationstructures include railroads and petroleum pipe-lines Transportation equipment consists of auto-mobiles trucks buses truck trailers aircraft shipsand boats and railroad equipment

Goods and services that are counted as part oftransportation-related exports include 1) civilian air-craft engines and parts 2) road motor vehiclesengines and parts 3) passenger fares includingreceipts of US air and oceancruise carriers fortransporting non-US residents between the UnitedStates and foreign countries or between two foreignpoints and 4) other transportation The total forroad motor vehicles engines and parts excludesboats aircraft and noncommercial trailers Othertransportation includes 1) the freight revenues ofUS-operated ocean air and other carriers (eg railpipeline and Great Lakes shipping) for internationaltransport of US exports and for transporting for-eign freight between foreign points 2) port expendi-ture receipts (representing payments for goods andservices purchased in the United States by foreign-operated carriers) and 3) receipts of US ownersfrom foreign operators for the charter of vessels andrental of freight cars and containers

Goods and services that are counted as part oftransportation-related imports include 1) civilianaircraft engines and parts 2) road motor vehiclesengines and parts 3) passenger fares includingpayments to foreign air and oceancruise carriersfor the transportation of US residents between theUnited States and foreign countries or between twoforeign points and 4) other transportation Thetotal for road motor vehicle engines and partsexcludes boats aircraft and noncommercial trail-

Appendix E Data Source and Accuracy Statements

ers Other transportation includes 1) freight reve-nues of foreign-operated ocean air and othercarriers (eg rail pipeline and Great Lakes ship-ping) for international transport of US importsand for the transportation of foreign freightbetween foreign points 2) port expenditurereceipts (representing payments for goods and ser-vices purchased in foreign countries by US-oper-ated carriers) and 3) payments to foreign ownersfrom US operators for the charter of vessels andrental of freight cars and containers

Transportation-related government purchasesinclude federal state and local purchases of trans-portation services and government expenditureson transportation-related structures and equip-ment Federal state and local purchases representthe sum of consumption expenditures and grossinventory Defense-related purchases includeexpenditures on the transportation of materials(care and movement of goods by water rail truckand air) the rental of trucks and other transporta-tion equipment and warehousing fees and travel ofpersons (care and movement of Department ofDefense military civilian employees) includingtickets for all modes of travel per diem taxi faresautomobile rental and mileage allowances for pri-vately owned vehicles

Further ReferencesThis data source and accuracy statement is based

on several papers that have appeared in the SCBData users who desire more methodological detailcan refer to the list of references at the end of thischapter

TABLE 3-6 National Transportation and Economic Trends

The Statistical Abstract of the United States pub-lished by the US Department of Commerce Cen-sus Bureau is the source of the population dataThe Current Population Reports are the source ofthe Abstracts data that are collected through theCurrent Population Survey (CPS) This is amonthly survey administered by the Census Bureauof a scientifically selected sample representative ofthe noninstitutional civilian population in 754areas covering every state and the District ofColumbia Like other surveys the CPS is subjectto sampling error Readers should note that esti-mates based on the CPS may not agree with census

counts because different procedures are usedChanges in the CPS also mean that annual compar-isons must be made with caution For instance in1994 the CPS methodology was dramaticallychanged and the estimates began to incorporate1990 census population controls adjusted for theestimated undercount

Industrial production data come from the Indus-trial Production Index produced by the Board ofGovernors of the Federal Reserve System and pub-lished in the Economic Report of the PresidentFor annual figures individual industrial produc-tion (IP) indexes are constructed from a variety ofsources including the quinquennial Censuses ofManufactures and Mineral Industries the AnnualSurvey of Manufactures prepared by the CensusBureau the Minerals Yearbook prepared by theUS Department of the Interior and publicationsof the US Department of Energy The FederalReserve Board (FRB) uses these data in a modelingframework to produce estimates of industrial pro-duction Below are brief discussions on threemajor sources for the IP indexes the survey ofmanufactures the census of manufactures and theelectric utility survey

Annual Survey of ManufacturersThe Census Bureau conducts a mail survey of

approximately 55000 manufactures with three dif-ferent sample strata The sampling frame is basedon previously surveyed firms and is updated annu-ally based partially on IRS administrative recordsand other sources Large manufactures (shipmentsgt $500 million and gt 250 employees) some com-puter manufacturing firms and all remaining firmswith at least 250 employees are selected Establish-ments with employment generally ranging from 20to 250 employees are sampled with a probabilityproportional to a composite measure of establish-ment size Approximately 5000 of the smallestfirms (5 to 20 employees) are also sampled andreceive a shorter survey instrument Additionalinformation on the survey readers should refer towwwcensusgoveconwwwma0300html

Census of ManufacturersThe Census of Manufactures collects data

through mail surveys from approximately 237000multiunit and single-unit firms with a minimumpayroll figure This census is supplemented by IRS

Appendix E Data Source and Accuracy Statements

administrative data from over 142000 firms notcontacted by mail For additional information onthe census readers should refer to wwwcensusgoveconwwwma0100html

Electric Utility SurveySince 1971 the FRB has conducted the Monthly

Survey of Industrial Electricity Use based onresponses from utilities and manufacturing andmining firms that are cogenerators This survey isthe basis for estimates of the amount of electricitypower used by 120 industrial sectors More than40 industrial production series estimates are basedon data from this survey and compose 28 percentof the Industrial Production Index in 1994 value-added proportions

Survey responses are voluntary and are gatheredfrom a panel of 175 utilities and 186 cogeneratingcompanies with a monthly response rate near 95percent In 1992 an additional 71 new cogenera-tors joined the panel This resulted according toan FRB statistical analysis in a decrease of thestandard deviation of errors for electricity growthrates from 30 to 19 percentage points Overallthe estimates for total power use produce a stan-dard error of about 05 percentage points Thepanel accounts for approximately 73 percent ofindustrial electric power use in the United States

The Survey of Current Business published bythe US Department of Commerce Bureau of Eco-nomic Analysis is the source of GDP estimatesReaders should refer to the source and accuracystatement for tables 3-1 through 3-5 for informa-tion on GDP estimates

TABLE 3-7 Passenger and Freight Transportation Expenditures

Detailed information from the source was notavailable at the time of publication Readers shouldcontact the Eno Transportation Foundation Incdirectly for information about methodologies andreliability

TABLE 3-8 Sales Price of Transportation Fuel to End-Users

The US Department of Energy Energy Informa-tion Administrations (EIAs) Monthly EnergyReview tables 94 and 97 provided price dataexcept for railroad fuel Pre-1981 data were

reported by the EIA from Bureau of Labor Statisticsreports Beginning in 1983 the EIA administered aseries of surveys to collect data on petroleum pricesmarket distribution supply and demand The EIA-782 series encompasses three surveys 1) Form EIA-782A RefinersGas Plant Operators MonthlyPetroleum Product Sales Report 2) Form EIA-782BResellersRetailers Monthly Petroleum ProductSales Report and 3) Form EIA-782C MonthlyReport of Prime Supplier Sales of Petroleum Prod-ucts Sold for Local Consumption

EIA developed a method for comparing datafrom the new surveys with older information gath-ered by various methods As a result a number ofadjustment factors were developed and used toldquobackcastrdquo price estimates Readers who require amore detailed description of this methodologyshould refer to EIAs petroleum data publicationsweb page (wwweiadoegovoil_gaspetroleumpet_framehtml) and the explanatory notes section

Changes in sample elements or collection meth-ods may affect data continuity Two regulatorychanges affected data collection in October 1993The Clean Air Act Amendments of 1990 requiredthat oxygenated gasoline be sold in the wintermonths in ozone nonattainment areas Thus theEIA-782 forms were modified to collect informa-tion on fuels divided among conventional oxygen-ated and reformulated categories Secondrequirements for the production and selling of low-sulfur diesel were required and necessitated the sep-aration of diesel fuel into high- and low-sulfur cate-gories Moreover surveys prior to October 1993did not include propane The EIA followed severaldifferent sampling designs during two periods inthe 1980s and thus there may be some price esti-mate discontinuity for periods between December1983 and January 1984 as well as between Augustand September of 1988

Data CollectionThe 782 series occurs on a monthly schedule via

mail The 782A and 782C surveys reflect a censusof about 115 and 190 firms respectively The782B samples about 2000 firms The EIA firststratifies by sales volume for the form 782B surveyto ensure that dealers with 5 percent or more of themarket are captured with certainty The remainingelements of the frame were assigned a probabilityof selection to form a 2200 firm survey These

Appendix E Data Source and Accuracy Statements

ldquononcertaintyrdquo companies were poststratified bygeographic area and type of sales category

Data ReliabilityEIA has studied its sampling effects on reliability

and determined that the sample size of 2000 shouldyield a less than 1-percent price coefficient of varia-tion in its estimates Errors can arise because of non-response but an EIA official indicated that theresponse rates for the 1997-1999 782A B and C sur-veys averaged 95 percent 86 percent and 96 percentrespectively Because survey data invariably containincomplete data (because of reporting errors or non-response) EIA estimates or ldquoimputesrdquo missing dataReaders requiring imputation algorithms should referto the 782 series explanatory notes referred to above

TABLE 3-9 Price Trend of Gasoline v Other Consumer Goods and Services

Data in this table were reproduced from theAmerican Petroleum Institutes (API) Basic Petro-leum Data Book API noted that data reportedprior to 1981 was obtained from Platts Oil PriceHandbook and Oilmanac Platts is part of Stan-dard and Poors and an independent third partyorganization that tracks the petroleum industryPlatts reported the retail price of gasoline based ontelephone interviews with gas stations in 55 citiesMore detailed historical information on their datacollection methods could not be ascertained and thedatas reliability is uncertain API reported theBureau of Labor Statistics (BLS) as its data sourcefor 1981 to 2001 retail gasoline prices The remain-der of this section discusses the BLS Consumer PriceIndex (CPI) data collection and estimation methodsused to derive the average retail price of gasoline

BLS uses the CPI as a measure of average pricechanges paid by urban consumers for a fixed bas-ket of goods and services BLS estimates the CPIwith a survey-based approach Survey resultsdefine a categorization of goods and services a rep-resentative sample of items to track and weightsaccording to the consumption of an average con-sumer during a base period

Sample DesignBLS relies on two sampling frames for their CPI

estimates One represents the universe of retailoutlets from which households may purchase

defined groups of commodities and services includ-ing gasoline A second represents householdsacross urban areas Moreover the householdframe is based on an ldquourban-consumerrdquo popula-tion and consists of households in MetropolitanStatistical Areas (MSAs) and in urban places withmore than 2500 inhabitants This ldquoall urbanrdquo CPI(CPI-U) provides the estimates for retail gasolineprices shown in table 3-9 Thus this frame doesnot represent non-urban consumers

For the retail outlet sampling frame BLS relieson the Point-of-Purchase Survey (CPOPS) con-ducted by the Census Bureau in 94 Primary Sam-pling Units (PSUs) identified by BLS PSUs arebased on urban counties groups of contiguousurban counties or MSAs For the household sam-ple a noncompact clustering procedure wasemployed which dispersed households evenlywithin a Census enumeration district (ED) Moredetailed sampling design information can be foundin BLSs Handbook of Methods at httpstatsblsgovopubhomhomhomehtm

Prices for the goods and services used to calcu-late the CPI are collected in 91 PSUs located in 85urban areas throughout the country The samplesize for the CPOPS totals about 21000 retail andservice establishments-supermarkets departmentstores gasoline stations hospitals etc Food fuelsand a few other items are priced monthly in all 85locations BLS field representatives collect all priceinformation through visits or telephone calls in thehousehold surveys Price changes are computedbased on a sample of outlets selected from loca-tions identified by consumers Specific sampleitems are then selected from each sample outlet toensure that the market basket is representative ofwhere households shop

EstimationBLS routinely updates its price estimates for spe-

cific items among the collection of goods and ser-vices for example a new car model year BLSemploys three techniques to produce new price esti-mates First an item that is directly comparable tothe previous discontinued good will be used to pro-vide a price estimate However a substitute itemmay be inappropriate when goods change slightly intheir characteristics BLS relies on Hedonic regres-sion modeling as a second ldquoquality adjustmentrdquo forprice estimates This statistical technique can model

Appendix E Data Source and Accuracy Statements

the importance of various quality characteristics thatadd value to a particular good (the fiber content andconstruction of apparel products for instance) Aresearcher can estimate a Hedonic regression modelthat identifies the factors most important is deter-mining the price of a good and BLS field representa-tives will note these in their data collectionImputation is a third quality adjustment used forldquononcomparablerdquo substitutions where BLS esti-mates the price change from previous averagesDetailed algorithms can be found in chapter 17 ofthe BLS Handbook of Methods at httpstatsblsgovopubhomhomhomehtm

Effective January 1999 BLS began using a newformula for calculating the basic components ofthe Consumer Price Index for all Urban Consumers(CPI-U) and the Consumer Price Index for UrbanWage Earners and Clerical Workers (CPI-W) Thenew formula the geometric mean estimator is usedin index categories that comprise approximately 61percent of total consumer spending represented bythe CPI-U Based on BLS research it is expectedthat use of the new formula will reduce the annualrate of increase in the CPI by approximately 02percentage points per year Additional informationon this change was published in the April 1998 CPIDetailed Report and is available on the Internet athttpstatsblsgovcpihomehtm

AccuracyOne of the CPIs limitations is that it represents

price movements for urban residents and may notcorrectly represent nonurban consumption pat-terns The CPI may also contain sampling errorbecause it is estimated from a sample of consumerpurchases Nonsampling error may occur ifrespondents provide BLS field representatives withinaccurate or incomplete information Anotherpotential source of error identified by BLS mayoccur because of a time lag between the Point-of-Purchase Survey and the initiation of price collec-tion for commodities and services at resampledoutlets Because of the time lag the productsoffered by the outlet at the time pricing is initiatedmay not coincide with the set from which theCPOPS respondents were purchasing

The CPI is also subject to response error whendata are not collected because of nonresponse BLSestablished a nonresponse auditing program in1986 It reported that response rates in 1990 for

transportation commodities and services wereabove 90 percent

BiasFour categories of bias were identified in the BLS

report Measurement Issues in the Consumer PriceIndex published in 1997 First because of the fixed-weight nature of the index the CPI creates substitu-tion bias by placing too much weight on items mea-sured in previous surveys from which consumersmay have shifted away Second the study foundthat the index did not account for consumersswitching to discount stores Third a qualitychange bias was also identified when the differencesbetween goods priced in two different periods can-not be accurately measured nor deduced from theaccompanying price difference between the goodsFinally the report noted that the CPI also had a newproduct bias because the index inadequatelyreflected consumer value of products introducedinto the market The commission concluded thatthe CPI overstated the true cost-of-living change by11 percentage points per year

TABLE 3-10 Producer Price Indices for Transportation Services

TABLE 3-11 Producer Price Indices for Transportation Equipment

Data shown in these tables are drawn fromannual issues of The Supplement to Producer PriceIndexes published by the Bureau of Labor Statistics(BLS) in the US Department of Labor Theseindexes represent a measure of outputs in allgoods-producing American industries as well aspartial coverage of service industries includingtransportation BLS defines a price as the net reve-nue accrued to a specified production establish-ment from a specified kind of buyer for a specificproduct shipped under specific transaction termson a specified day of the month BLS collects thisdata series through surveys of a sample of estab-lishments that report their prices from economictransactions

Data CollectionA BLS field economist visits an establishment or

cluster of establishments selected for price sam-pling The economist uses a disaggregation proce-

Appendix E Data Source and Accuracy Statements

dure to select a sample of transactions from all theestablishments revenue-producing activities Thisdisaggregation procedure assigns a probability ofselection to each shipping or receipt category pro-portionate to its value within a reporting unit Inmost cases the final price index produced by theBLS requires that 1) there are at least three differ-ent respondents to a survey 2) at least two report-ing units provide price information in a givenmonth and 3) no single respondent accounts for50 percent or more of the weight for a given item

BLS regional offices review field data for consis-tency and completeness The national office thenconducts a final review and a survey is then tai-lored specifically to establishments or clusters ofestablishments BLS refers to these as repricingschedules and sends them to reporting establish-ments on a regular basis Most prices refer to areporting schedule on a particular day of themonth usually the first Tuesday or the 13th of amonth

EstimationBLS collects prices for over 100000 items It

utilizes several different weighting schemes for thenumerous indexes produced because some prod-ucts will have a greater effect on the movement ofgroupings of individual products BLS utilizes thenet output of shipment values as weights for the 4-digit SIC industries Net output values includeonly shipments from establishments in one industryto other industry establishments and thus differfrom gross shipment values The latter wouldinclude shipments among establishments in thesame industry even if those establishments are sep-arate firms BLS also makes seasonal adjustmentsif statistical tests and economic rationale justifythem and computes data when a participatingcompany does not deliver a price report BLS basesthe missing price estimation on the average of pricechanges for similar products reported by otherestablishments

AccuracyAs in all surveys the accuracy of producer price

indexes depends on the quality of information vol-untarily provided by participating establishmentsOne of the accuracy concerns of BLS revolvesaround the preferred use of realistic transactionprices (including discounts premiums rebates

allowances etc) rather than list or book pricesBefore BLS fully changed its data collectionmethod in 1986 a survey indicated that about 20percent of traditional commodity indexes werebased on list prices The newer and more system-atic methodology decreased the use of list pricesBLS documentation (available at httpstatsblsgovopubhom) provided no more detailson sampling error response rates or the availabil-ity of generalized variance parameters or tech-niques for estimating them

TABLE 3-12 Personal Expenditures by Category

TABLE 3-13 Personal Consumption Expenditures on Transportation by Subcategory

Data used in these tables are from the Bureau ofLabor Statistics Annual Report of ConsumerExpenditure Survey The Consumer ExpenditureSurvey (CEX) collects information from UShouseholds and families on their buying habits(expenditures) income and consumer characteris-tics The strength of the survey is that it allowsdata users to relate the expenditures and income ofconsumers to the characteristics of those consum-ers BLS uses 11 standard characteristics to classifyconsumers including income before-tax incomeclass age size of the consumer unit compositionof the consumer unit number of earners housingtenure race type of area (urban or rural) regionand occupation

The CEX is a national probability sample ofhouseholds The sampling frame (ie the list fromwhich housing units are chosen) for this survey isgenerated from the 1990 census 100-percent detailfile which is augmented by a sample drawn fromnew construction permits Coverage improvementtechniques are also utilized to eliminate recognizeddeficiencies in the census

Data CollectionThe current survey consists of two separate sur-

veys (Interview and Diary) each utilizing a differ-ent data collection technique and sample Data iscollected for each survey from approximately5000 households In the Interview survey eachconsumer unit (CU) in the sample is interviewedevery three months over five calendar quartersThe interviewer uses a structured questionnaire to

Appendix E Data Source and Accuracy Statements

collect both the demographic and expenditure datain the Interview survey The interviewer collectsthe demographic data in the Diary survey whereasthe respondent enters the expenditure data on thediary form Both surveys accept proxy responsesfrom any eligible household member who is at least16 years old if an adult is not available after a fewattempts to contact that person The respondentfamily completes the Diary (or recordkeeping) sur-vey at home for two consecutive one-week periods

A reinterview program for the CEX providesquality control The program provides a means ofevaluating individual interviewer performance todetermine how well the procedures are being carriedout in the field A member of the supervisory staffconducts the reinterview Subsamples of approxi-mately 6 percent of households in the Interview sur-vey and 17 percent in the Diary survey arereinterviewed on an ongoing basis A new diaryform with more categories and expanded use of cuesfor respondents was introduced in 1991 based onresults from earlier field and laboratory studies

EstimationMissing or invalid data on demographic or work

experience are imputed No imputation is done formissing data on expenditures or income Selectedportions of the Diary data are also adjusted by auto-mated imputation and allocation routines whenrespondents report insufficient detail to meet publi-cation requirements These procedures are per-formed annually on the data The imputationroutines assign qualifying information to data itemswhen there is clear evidence of invalid nonresponse

The statistical estimation of the population quanti-ties of interest such as the average expenditure on aparticular item by a CU or the total number of CUs ina particular demographic group is conducted via aweighting scheme Each CU included in the survey isassigned a weight that is interpreted as representingthe number of similar families in the universe of inter-est the US civilian noninstitutional populationReaders should refer to httpstatsblsgovopubhomhomch16_chtm for the detailed weighting method

Beginning with 1997 data BLS introduced a newcalibration method to compute weights in the Con-sumer Expenditure Survey The weights are calcu-lated using a model-assisted design-basedregression estimator

AccuracyThe Consumer Expenditures Survey is a sample

survey and hence is subject to two types of errorsnonsampling and sampling Nonsampling errorscan be attributed to many sources such as differ-ences in the interpretation of questions inability orunwillingness of the respondent to provide correctinformation mistakes in recording or coding thedata obtained and other errors of collectionresponse processing coverage and estimation formissing data The full extent of nonsampling erroris unknown Sampling errors occur because thesurvey data are collected from a sample and notfrom the entire population Tables with coeffi-cients of variation and other reliability statistics areavailable on request from the national officeHowever because the statistics are shown at thedetailed item level the tables are extensive

TABLE 3-14 Cost of Owning and Operating an Automobile

Your Driving Costs produced by the AmericanAutomobile Association (AAA) provided the datafor this table Prior to 1985 the cost figures are fora mid-sized current model American car equippedwith a variety of standard and optional accessoriesAfter 1985 the cost figures are for a composite ofthree current model American cars

1 A 1999 Chevrolet Cavalier LS2 A 1999 Ford Taurus SEL Deluxe and3 A 1999 Mercury Grand Marquis LSThus the estimates are not reliable estimates for

all carsFuel costs were based on an average price of

$1195 per gallon of regular unleaded gasolineweighted 20 percent full-serve and 80 percent self-serve Insurance figures were based on personaluse of vehicles driven less than 10 miles to or fromwork with no young drivers Normal depreciationcosts were based on the vehicles trade-in value atthe end of four years or at 60000 miles AmericanAutomobile Association (AAA) analysis coversvehicles equipped with standard and optionalaccessories including automatic transmission airconditioning power steering power disc brakesAMFM stereo driver-and passenger side air baganti-lock brakes cruise control tilt steering wheeltinted glass emission equipment and rear windowdefogger

Appendix E Data Source and Accuracy Statements

TABLE 3-15a amp 3-15b Average Passenger Fare (Current and chained 1996 dollars)

TABLE 3-18 Total Operating Revenues

AirThe US Department of Transportation Bureau

of Transportation Statistics (BTS) Office of AirlineInformation reports passenger fares and operatingrevenues in its publication Air Carrier FinancialStatistics These numbers are based on 100 percentreporting by large certificated air carriers Minorerrors from nonreporting may occur but amount toless than one percent of all passenger or freightactivity The figures do not include data for all air-lines such as most scheduled commuter airlinesand all nonscheduled commuter airlines

Class I BusClass I passenger motor carriers are required to

report financial and operating information to BTSusing form MP-1 (Prior to 1996 Class I carrierswere required to report to the Interstate CommerceCommission) Class I passenger motor carriers aredefined as those having annual gross operating rev-enues as adjusted for inflation of $5000000 ormore This table does not include Class I carrierswhose data had not been received at the time ofpublication Thus these data do not representtotal Class I passenger motor carrier activity

TransitThe American Public Transit Association (APTA)

reports these figures which are based on theannual National Transit Database (NTD) reportpublished by the USDOT Federal Transit Adminis-tration (FTA) The legislative requirement for theNTD is found in Title 49 USC 5335(a) Transitagencies receiving funds through the UrbanizedArea Formula Program are generally required toreport financial and operating data including capi-tal expenditures revenues and expenses Thesedata are generally considered accurate because theFTA reviews and validates information submittedby individual transit agencies Reliability may varybecause some transit agencies cannot obtain accu-rate information or misinterpret certain data defi-nitions APTA conservatively adjusts FTA data toinclude transit operators that do not report to the

database (private and very small operators andrural operators)

RailData are from Railroad Facts published annually

by the Association of American Railroads (AAR)AAR figures are based on 100-percent reporting byall nine Class I railroads to the Surface Transporta-tion Board (STB) via Schedule 700 of the R1 AnnualReport STB defines Class I railroads as havingoperating revenues at or above a threshold indexedto a base of $250 million in 1991 and adjustedannually in concert with changes in the RailroadFreight Rate Index published by the Bureau ofLabor Statistics In 2000 the adjusted threshold forClass I railroads was $ 2619 million Declassifica-tion from Class I status occurs when a railroad fallsbelow the applicable threshold for three consecutiveyears Although Class I railroads comprise only 1percent of the number of railroads in the countrythey account for over 71 percent of the industrysmileage operated 91 percent of total freight rail rev-enue and 88 percent of railroad employment

IntercityAmtrakAverage passenger fare data are based on 100

percent of issued tickets and thus should be accu-rate Created as a publicly-owned for-profit corpo-ration Amtrak collects its own financial data andreports this information in its annual reportAuditing should ensure the accuracy of the operat-ing revenue figures

Trucking and Courier Services (except air)The Census Bureaus Transportation Annual Sur-

vey (formerly known as the Motor Freight Transpor-tation and Warehousing Survey) is the source of thisinformation The sample survey represents allemployer firms with one or more establishmentsengaged primarily in providing commercial motorfreight transportation or public warehousing servicesIt excludes motor carriers that operate as auxiliaryestablishments to nontransportation companies aswell as independent owner-operators with no paidemployees Thus the data do not represent the totaltrucking industry

In 1999 Transportation Annual Survey wasmerged with the Census Bureaus Service AnnualSurvey (SAS) and is the source of data for years1998 and later SAS provides estimates of operating

Appendix E Data Source and Accuracy Statements

revenue of taxable firms and revenue and expensesof firms exempt from federal income taxes forselected service industries Unlike the Transporta-tion Annual Survey the SAS is based on the NorthAmerican Industry Classification System (NAICS)

As with all sample surveys two types of errorsare possible sampling and nonsampling Non-sampling errors may include response errors andmistakes in coding or keying data For additionalinformation about the survey and data reliabilitythe reader is referred to the Census Bureau websiteat wwwcensusgov

Water (Domestic)Eno Transportation Foundation Inc is the source

of these data Eno estimates these figures by multi-plying ton-mile figures by estimated revenue per ton-mile The US Army Corps of Engineers reports theton-mile figures in its publication Waterborne Com-merce of the United States and the revenue per ton-miles figures are estimated by Eno

Oil PipelineEno Transportation Foundation Inc publishes

these data which are based on Federal Energy Reg-ulatory Commission (FERC) data and reported bythe Oil Pipeline Research Institute for years 1977to the present FERC data originates from requiredquarterly reports filed by pipeline companies Priorto 1977 the data are based on the former Inter-state Commerce Commission data for regulatedpipelines and estimated to be 16 percent of thetotal of nonregulated pipelines

Gas PipelineThese statistics originate from Gas Facts pub-

lished annually by the American Gas Association(AGA)AGA data are based on gas utilities partici-pation and reporting to the Uniform StatisticalReport and estimates for those companies notreporting based on recent historical experienceVarying percentages of nonreporters from year toyear introduce minor reliability problems for time-series comparisons

TABLE 3-19 Employment in For-Hire Transportation and Selected Transportation-Related Industries

Employment data by industry are from theNational Employment Hours and Earnings esti-

mates published by the Bureau of Labor Statistics(BLS) US Department of Labor These estimatesoriginate from the Current Employment Statistics(CES) survey program The CES is a monthly sur-vey conducted by state employment security agen-cies in cooperation with the BLS The surveyprovides employment hours and earnings esti-mates based on payroll records of nonfarm busi-ness establishments including government

BLS uses a stratified sample based on a sectorsemployment size or the degree of variability amongits establishments or both This ensures that BLScaptures a more representative survey from employ-ers with large payrolls Thus large establishmentsare certain of selection while smaller ones have lessof chance

Data CollectionData are collected electronically from about two-

thirds of the respondents and by mail or fax fromthe remainder The primary type of electronicreporting is touch-tone phone self-response othersare computer-assisted phone interviews and phonevoice recognition technology Increasingly data arecollected through electronic data interchange froma small but growing number of companies thathave a large number of establishments across thecountry Mail respondents submit Form 790 to theBLS each month It is then edited and returned tothe respondent for use again the following monthAll firms with 250 employees or more are asked toparticipate in the survey as well as a sample ofsmaller firms

EstimationEmployment estimates are made at what is

termed the basic estimating cell level and aggre-gated upward to broader levels of industry detailby simple addition Basic cells are defined byindustry (usually at the 3- or 4-digit SIC level) andare stratified within industry by geographic regionandor size class in the majority of cases Withinthe wholesale trade retail trade and services divi-sions most industries are stratified into three tofive size classes (beginning in 1984)

Most national employment estimates are multi-plied by bias adjustment factors to produce themonthly published estimates Bias adjustment fac-tors are used primarily to compensate for theinability to capture the entry of new firms on a

Appendix E Data Source and Accuracy Statements

timely basis New firms contribute a substantialamount to employment growth each year but thereis a lag between the creation of a firm and its inclu-sion on the sample frame (ie the UnemploymentInsurance universe file) It is therefore necessaryto use modeling techniques to capture this segmentof the population BLS also performs seasonaladjustments for certain SIC industries

AccuracyBLS does not publish data reliability information

along with estimates Instead it provides estima-tion formula and the necessary parameters so thatusers can estimate standard errors For additionalinformation see the Explanatory Notes and Esti-mates of Error in the BLS monthly publicationEmployment and Earnings

The CES survey which began over 50 years agopredates the introduction of probability samplingas the internationally recognized standard for sam-ple surveys Instead a quota sample has been usedsince its inception Quota samples are at risk forpotentially significant biases and recently com-pleted BLS research suggests that despite the largeCES sample size employment estimates based onthat sample at times diverge substantially fromthose that a more representative sample wouldhave been expected to produce This leads to anover-reliance on bias adjustment in the estimationprocedure Because bias adjustment is primarilybased on past experience it is limited in its abilityto accurately reflect changing economic conditionson a timely basis

Government EmploymentThe Office of the Secretary provides employment

figures for the US Department of Transporta-tion State and local highway department employ-ment figures are from the State and LocalGovernment Employment and Payroll Estimatespublished by the US Department of CommerceBureau of the Census The data are for the 50states and the District of Columbia Employmentand payroll data pertain to the month of OctoberAt present data are collected for one pay periodthat includes October 12 (regardless of the periodslength) through the Public Employment Survey(PES)

Employment refers to all persons gainfullyemployed by and performing services for a govern-

ment Employees include all persons paid for per-sonal services performed from all sources of fundsincluding persons paid from federally funded pro-grams paid elected officials persons in a paid leavestatus and persons paid on a per meeting annualsemiannual or quarterly basis Excluded fromemployment statistics are unpaid officials pension-ers persons whose work is performed on a feebasis and contractors and their employees

The Census Bureau derives full-time equivalent(FTE) employment by summing the number of full-time employees reported and converting the numberof hours worked by part-time employees to a full-time equivalent amount Up until 1985 data themethod used to calculate FTEs was based solely onpayroll data Effective with 1986 data the annualemployment survey started collecting data on thenumber of hours worked by part-time employees inorder to provide a more accurate representation offull-time equivalent employment No October 1985FTE employment data are available

Beginning in 1999 the Public Employment Sur-vey (PES) was conducted using a separate sampleof approximately 11000 government units toimprove data accuracy and survey efficiency Gov-ernment units meeting any of the following criteriaare included in the survey 1) counties with popu-lations greater than 100000 2) cities with popula-tions greater than 75000 3) townships in NewEngland and Mid-Atlantic with populationsgreater than 50000 4) special districts with FTEsgreater than 1000 5) independent school districtswith enrollment greater than 10000 and 6) alldependent and independent schools providing col-lege level education In 1999 government unitswere sampled to obtain a relative standard error of3 percent or less for FTE and total payroll for eachof the states by type of government groups

Prior to 1993 the PES used a joint sample ofapproximately 24000 units for both employmentand finance From 1993 to 1998 the sample sizewas reduced to around 14000 units The standarderror for the PES prior to 1999 was designed to bearound 3 percent for major state- or county-levelestimates of finance variables (state-level for 1993-1998 and county-level prior to 1993) Employmentestimates are made using regression except whenthe number of noncertainty cases contributing tothe estimate is less than 20 where a simple unbi-ased estimate is used

Appendix E Data Source and Accuracy Statements

TABLE 3-20 Employment in Transportation Occupations

TABLE 3-22 Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation by Detailed Occupation

Employment by detailed transportation occupa-tion data are from the Occupational EmploymentStatistics (OES) survey collected by the Bureau ofLabor Statistics (BLS) The OES is a periodic mailsurvey of nonfarm establishments that collects occu-pational employment data on workers by industryThe OES program surveys approximately 725000establishments in 400 detailed industries The aver-age response rate for the last three years accordingto a BLS official averaged about 70 percent

The sample is selected primarily from the list ofbusiness establishments reporting to the state unem-ployment insurance program The OES sample ini-tially stratifies the universe of establishments bythree-digit industry code and size- class code Estab-lishments employing 250 employees or more aresampled with certainty Establishments employingfewer than 250 employees but more than 4 employ-ees are sampled with probability proportional to thesize class employment within each three-digit indus-try Establishments employing four or feweremployees (ie size class 1 establishments) are notsampled Instead the employment for these estab-lishments are accounted for by assigning a largersampling weight to establishments employing five tonine employees (ie size-class 2 establishments)Within each three-digit industrysize- class cellestablishments are systematically selected into thesample through a single random start

Data CollectionEmployers are the source of occupational data

Within establishments the main source of occupa-tional data reported by respondents is personnelrecords Data are collected from respondents pri-marily by mail Occasionally visits are made tolarge employers and to other respondents whoindicate particular difficulty in completing thequestionnaires Ordinarily two mailings followthe initial mailing After the third mailing a sub-sample of the remaining nonrespondents is drawnand contacted by telephone The OES survey fol-lows a 3-year cycle Three surveys are conducted

alternately for manufacturing nonmanufacturingand the balance of nonmanufacturing industries

EstimationDuring the sample selection process each sam-

pled establishment is assigned a sampling weightthat is equal to the reciprocal of its probability ofselection For example if an establishment on thesampling frame had a 1 in 10 chance of beingselected into the sample then its sampling weight is10 For establishments that did not respond to thesurvey a nonresponse adjustment factor is calcu-lated and applied against the sampling weights ofthe responding establishments within each state3-digit industrysize-class cell Multiplying theseadjustment factors by sampling weights increasesthe weight of the responding establishments so theycan account for the missing employment data ofthe nonresponding establishments

AccuracyThe OES survey uses a subsample replication

technique to estimate variances in occupationalemployment at the 3-digit industrysize-class levelFor additional information on occupationalemployment estimates and measurements of sam-pling error associated with the estimates the readeris referred to httpstatsblsgovoeshomehtm

TABLE 3-21 Average Wage and Salary Accruals per Full-Time Equivalent Employee by Transportation Industry

TABLE 3-23 Total Wage and Salary Accruals by Transportation Industry

The Survey of Current Business (tables 63c and66c) published by the US Department of Com-merce Bureau of Economic Analysis is the sourceof transportation wage and salary data These esti-mates are based on BLS tabulations of employeewages that are covered by State unemploymentinsurance As a component of the income side ofNational Income and Product Account wages andsalaries comprise part of the GDP calculationThese data reflect the monetary remuneration ofemployees in terms of wage accruals less disburse-ments It is defined as the difference between wagesand salaries on a ldquowhen-earnedrdquo basis or accruedand wages and salaries on a ldquowhen-paidrdquo or dis-

Appendix E Data Source and Accuracy Statements

bursed basis This computation was instituted in1992 because a significant portion of bonus pay-ments were missed in previous calculations Readersshould also refer to the earlier discussion of GDPmethods and reliability for more detail

TABLE 3-24 Labor Productivity Indices for Selected Transportation Industries

The Bureau of Labor Statistics (BLS) Industry Pro-ductivity Measures is the source of transportationlabor productivity data BLS develops industry pro-ductivity measures based on various data sources

For rail BLS uses freight ton-mile and passengermiles that are collected by the Surface TransportationBoard (STB) the Association of American Railroads(AAR) and Amtrak BLS also aggregates four differ-ent air transportation outputs to form a single pro-ductivity index domestic passenger-miles domesticfreight ton-miles international passenger-miles andinternational freight ton-miles Air transportationdata come from Air Carrier Traffic Statistics and AirCarrier Financial Statistics published by the USDepartment of Transportation Bureau of Transpor-tation Statistics For petroleum pipeline BLS relies ondata from the Association of Oil Pipelines and derivedan output index based on trunkline barrel-miles Abarrel-mile is one barrel of petroleum moved throughone mile of pipeline

EstimationBLS generally calculates labor productivity by

dividing an index of output (in this case ton-miles)by an index of hours Output is derived with aweight adjusted Tornqvist formula that producesan output ratio for one year BLS then combinesthese in a series that produces a chained outputindex The hour indexes are developed from datain BLSs Current Employment Statistics (CES seediscussion above for table 3-12) and are the resultsof dividing the annual aggregate hours for eachyear by a base-period figure Readers who needmore detail such as mathematical specifications orequations should refer to Kunze and Jablonski(Kunze and Jablonski 1998) or call the Office ofProductivity and Technology at BLS

AccuracyBLS provides no measures of reliability How-

ever BLS makes an assumption that transportation

outputs should be measured using the productionof passenger-miles or freight-miles Another schoolof thought might assume that many transportationfirms or facilities are actually providing capacityrather than actual use Thus an argument can bemade that productivity should be based on capac-ity rather than use In fact this is how BEA mea-sures transportation output To evaluate the BLSassumption one study compared the twoapproaches by examining the different growthrates produced by BLS and BEA and found that in25 of 35 service industries the differences arewithin one percentage point For transportationdifferences in growth rates across BLS and BEAestimates were two percentage points or less(Kunze and Jablonski 1998)

Beginning with 1997 data the indices for busand petroleum pipelines did not meet BLS publica-tion standards and are considered less reliable thanthose for other modes These industries hadbetween 14000 and 15000 employees far belowthe 50000-employee threshold established fortransportation industries by BLS However theyboth met a basic test of variability of the annualpercent changes in the output per hour measure

GOVERNMENT REVENUES AND EXPENDITURES

TABLE 3-25a amp3-25b Federal State and Local Government Transportation-Related Revenues and Expenditures Fiscal Year (Current and constant 1996 dollars)

TABLE 3-26a amp 3-26b Federal Transportation-Related Revenues Fiscal Years (Current dollars and constant 1996 dollars)

TABLE 3-27a amp 3-27b Federal Transportation-Related Expenditures by Mode Fiscal Year (Current and constant 1996 dollars)

TABLE 3-28 Cash Balances of the Transportation-Related Federal Trust Funds Fiscal Year

The main sources for federal-level data are theBudget of the United States Government and theAppendix to the Budget These data are the actualfigures as reported for the various transportation-related programs in the appendices of each years

Appendix E Data Source and Accuracy Statements

budget document1 The figures are consistent fromyear to year and follow the definitional structurerequired by the Office of Management and Budget(OMB)

Primary sources for state and local transporta-tion-related revenues and expenditures data arecensuses and surveys collected by the US CensusBureau All units of government are included inthe Census of Governments which is taken at five-year intervals for years ending in 2 or 7 and thesedata are full counts which are not subject to sam-pling error

State and local government data for noncensusyears are obtained by annual surveys which aresubject to sampling error For US totals of localgovernment revenues and expenditures in thisreport sampling variability is less than 3 percent

Federal figures in this report correspond to thefederal fiscal year which begins on October 1while state and local data are for fiscal years thatgenerally start in July While this may create asmall error in totals for any given year the data aresuitable for illustrating trends in public transporta-tion finance Programs terminated before 1985 areexcluded from the tables The totals for transpor-tation revenues and expenditures in this report arethe sum of the Census Bureaus state and localnumbers plus the total of the federal numbers

The source of the chained dollar deflators is TheNational Income and Product Account TablesBureau of Economic Analysis table 71 ldquoQuantityand Price Indexes for Gross Domestic ProductrdquoAll inflation-adjusted data are for the base year1996 instead of 1992 as in previous editions ofNational Transportation Statistics Note that defla-tors used for the federal data differ from those usedfor state and local data Thus if expenditures aretotaled across different levels of government in

chained dollars before and after federal grant trans-fers the totals will not match

Transportation RevenuesTransportation revenue estimates include trans-

portation-related user charges taxes or fees ear-marked for transportation-related expendituresEstimates include transit fares from systems ownedand operated by state and local governmentsincluding those systems operated under contract bya private firm under day-to-day financial oversightby government

Federal transportation revenues generally consistof trust-fund collections from user charges such asfuel taxes vehicle taxes registration and licensingfees and air passenger ticket taxes Damage pay-ments made by private parties are deposited in thefunds to reimburse the government for related fundexpenditures

The five transportation-related Federal trustfunds are established by law

1 Highway Trust Fund (HTF) which includesboth highway and transit accounts

2 Airport and Airway Trust Fund (AATF)3 Harbor Maintenance Trust Fund (HMTF)4 Inland Waterways Trust Fund (IWATF) and 5 Oil Spill Liability Trust Fund (OSLTF)

Highway RevenuesThe Highway Trust Fund (HTF) was established

by the Highway Revenue Act of 1956 HighwayTrust Fund revenues are derived from variousexcise taxes on highways users (eg motor fuelmotor vehicles tires and parts and accessories fortrucks and buses) and interest earned on balancesThe Transportation Equity Act for the 21st Cen-tury (TEA-21) which was enacted in June 1998made important changes to the Federal HighwayTrust Fund legislations (FHWA 1999)bull extension of deposit provisions of almost all

highway user taxes through September 30 2005

bull after September 30 1998 the HTF can no longer earn interest on balances and the bal-ance in the highway account would be trans-ferred to the general fund

bull TEA-21 keys Federal-aid highway funds to receipts of the Highway Account of the HTF and

1 The federal budget is broken down into 20 functionalcategories of which one is transportation (function 400)Function 400 is not tied to any one department or agencybut instead aggregates transportation functions wherever inthe federal government they occur Thus the transportationfunction may include many activities such as highway con-struction and safety airways and airports maritime subsi-dies US Coast Guard operations railroads and masstransit It also covers grants-in-aid programs to support stateand local activities A good summary of the federal budgetprocess can be found in Stanley E Collender The Guide tothe Federal Budget Fiscal Year 1996 (Washington DCUrban Institute Press 1995)

Appendix E Data Source and Accuracy Statements

bull the Transit Account share of fuel tax rose from 2 cents per gallon to 286 cents per gallon

The Excise tax on gasoline is the most importantsource of the HTF revenues and has changed fivetimes since 1985 It increased from 9 cents per gallonin 1985 to 91 cents per gallon on January 1 1987 to141 cents per gallon on December 1 1990 to 184cents per gallon on October 1 1993 to 183 cents pergallon on January 1 1996 and to 184 cents per gal-lon on October 1 1997 (FHWA 1999)

Money paid into the fund is earmarked primarilyfor the Federal-aid Highway program which isapportioned to states for planning constructingand improving the nationrsquos highway system roadsand bridges Effective April 1983 the HighwayRevenue Act of 1982 created the Mass TransitAccount within the HTF

Some portion of the HTF is dedicated to budgetdeficit reduction and the Leaking UndergroundStorage Tank Trust Fund (LUSTTF) For example43 cents per gallon of the federal excise tax on gas-oline has been assigned to the general fund sinceJanuary 1 1996 and 01 cents per gallon wasapportioned to the LUSTTF since October 1 1997(FHWA 1999) These funds are not considered astransportation-related in this report

State and local highway revenues include stateand local taxes on motor fuels motor vehiclelicenses and motor vehicle operator licenses alongwith state and local charges for regular toll high-ways and local parking charges Regular highwaycharges (revenues) include reimbursements forstreet construction and repairs fees for curb cutsand special traffic signs and maintenance assess-ments for street lighting snow removal and otherhighway or street services unrelated to toll facili-ties Local governments use special assessmentsand property taxes that may be commingled withother local revenue in a general fund to financelocal road and street programs Consistent withfederal revenues state and local transportation rev-enues in this report do not include general fundsthat may be allocated to transportation

Transit RevenuesAs mentioned above the Highway Revenue Act

of 1982 created the Mass Transit Account withinthe HTF Effective April 1983 the act providedone cent per gallon of the federal excise tax on gas-oline sales to be set-aside for the Mass Transit

Account to help finance transit capital projectsThe rate was increased to 15 cents per gallon onDecember 1 1990 to 2 cents per gallon on Janu-ary 1 1996 and to 286 cents per gallon on Octo-ber 1 1997 (FHWA 1999) Although highwayusers pay these taxes the funds are treated as fed-eral transit revenues

State and local transit revenues include revenuesfrom operations of public mass transportation sys-tems (rapid transit subway bus railway and com-muter rail services) such as fares charter feesadvertising income and other operations revenuesThey exclude subsidies from other governments tosupport either operations or capital projects

Air RevenuesThe Tax Equity and Fiscal Responsibility Act of

1982 as amended by Omnibus Budget Reconcilia-tion Acts of 1990 and 1993 the Small Business JobProtection Act of 1996 and the Taxpayers ReliefAct of 1997 provides for the transfer of receiptsreceived in the US Treasury from the passengerticket tax and certain other taxes paid by airportand airway users to the Airport and Airways TrustFund (AATF) Effective October 1 1997 the Tax-payers Relief Act of 1997 extends aviation excisetaxes for 10 years and includes the following majorprovisions (FAA 1999)

1 retains existing freight way bill general avia-tion fuel and gas taxes and a 6-dollar departuretax on domestic flights to and from Alaska andHawaii

2 converts the 10 percent ad valorem tax ondomestic passenger tickets to a combination of advalorem and flight segment tax over three yearsbeginning October 1 1997

3 imposes a new 75 percent tax on payments toairlines for frequent flyer and similar awards bybanks and credit card companies merchants fre-quent flyer program partnersmdashother airlines hotelsor rental car companies and other businesses

4 increases the current 6-dollar internationaldeparture tax to 12 dollars per passenger and addsa 12-dollar international arrival tax

5 lowers tax rates on flights to certain rural air-ports to 75 percent without a flight segment com-ponent and

6 transfers revenues from the 43 cents-per-gallon aviation fuel taxes currently dedicated to

Appendix E Data Source and Accuracy Statements

reduce the national US deficit from the generalfund to the AATF

Most of this trust fund is used to finance the Fed-eral Aviation Administrationrsquos (FAArsquos) capital pro-grams namely Facilities and Equipment ResearchEngineering and Development and AirportImprovement Program Within certain limits set byCongress some of the remaining money is used tocover FAA operation and maintenance expensesThe portion of the FAArsquos operation and Mainte-nance expenses not paid from the trust fund reve-nues are financed by US Treasury general funds

State and local revenues from air transportationare derived from airport charges Beginning in1992 local governments began collecting passen-ger facility charges and spending these revenues(both subject to FAA approval) to finance capitalprograms

The collection of passenger facility charges wasauthorized by the Aviation Safety and CapacityExpansion Act of 19901

Waterway and Marine RevenuesFederal water revenues come from four primary

sources the Harbor Maintenance Trust Fund(HMTF) the Inland Waterways Trust Fund(IWATF) the Oil Spill Liability Trust Fund(OSLTF) and tolls and other charges collected bythe Panama Canal Commission

The Harbor Maintenance Trust Fund was estab-lished in accordance with the Harbor MaintenanceRevenue Act of 1986 Revenues for this fund arederived from receipts of a 0125 percent ad valo-rem user fee imposed on commercial users of speci-fied US ports Saint Lawrence Seaway tolls OnMarch 31 1998 per a US Supreme Court rulingthe tax on exports was terminated (OMB 2000)This fund is used to finance up to 100 percent ofthe US Army Corps of Engineersrsquo harbor opera-tion and maintenance (OampM) costs includingOampM costs associated with Great Lakes naviga-tional projects and the fund fully finances theoperation and maintenance of the Saint LawrenceSeaway Development Corp

The Inland Waterways Trust Fund was estab-lished by the Inland Waterways Revenue Act of1978 and amended by the Water Resources Devel-opment Act of 1986 The trust fund has been in

effect since fiscal year 1981 The sources for thefund are taxes imposed on fuel for vessels engagedin commercial waterway transportation and invest-ment interest From this tax of 243 cents per gal-lon 43 cents goes for deficit reduction and astatutory maximum of 20 cents (raised to that levelfrom the previous maximum of 19 cents at thebeginning of 1995) goes to the Trust Fund Thefunds are earmarked for financing one-half of theconstruction and rehabilitation costs of specifiedinland waterway projects

The Oil Spill Liability Trust Fund was estab-lished by the Omnibus Budget Reconciliation Actof 1989 Revenues for this fund are raised throughtax collection of 5 cents on each barrel of oil pro-duced domestically or imported (OMB 1999)The resources from this fund are used to finance oilpollution prevention and cleanup activities by vari-ous federal agencies For the US Coast Guard thefund finances oil spill recovery and payment ofclaims Beginning in 1997 the fund also financesthe annual disbursement to the Prince WilliamSound Oil Spill Recovery Institute

The Panama Canal Commission was establishedby the Panama Canal Act of 1979 to manage oper-ate and maintain the Panama Canal under thePanama Canal Treaty of 1977 The treaty periodended on December 31 1999 when the Republicof Panama assumed full responsibility for thecanal During the treaty period the commissioncollected tolls and other revenues which weredeposited in the US Treasury in an accountknown as the Panama Canal Revolving FundMoney from this fund was used to finance canaloperations and capital programs which werereviewed annually by Congress The revenuesreported under this category for FY 2000 are forthe first quarter (October 1999 ndash December 1999)of Panama Canal operations

State and local water revenues are derived fromcanal tolls rents from leases concession rents andother charges for use of commercial or industrialwater transport and port terminal facilities andrelated services Fees and rents related to waterfacilities provided for recreational purposes suchas marina and public docks and toll ferries are notincluded

1 Public Law 101-508 104 Stat 1388 (Nov 5 1990)

Appendix E Data Source and Accuracy Statements

Rail RevenuesThere are no governmental transportation reve-

nues for rail (Rail generates fuel taxes that are des-ignated for deficit reduction and thus are notconsidered transportation revenues in these tables)

Pipeline RevenuesThe Pipeline Safety Program is funded by user

fees assessed on a per-mile basis The assessmentsare made on each pipeline operator regulated bythe Office of Pipeline Safety (OPS) of the Researchand Special Programs Administration (RSPA) in theUS Department of Transportation There are nostate and local revenues for pipeline

General Support RevenuesGeneral support revenues come from the Emer-

gency Preparedness Fund which is generated fromfees paid by registered shippers of hazardous mate-rials RSPA administers and distributes the reve-nues to states territories and tribes through theHazardous Materials Emergency Preparedness(HMEP) grant program which is authorized byFederal Hazardous Materials Transportation Law

Transportation ExpendituresExpenditures rather than obligations are used

in these tables because they represent the finalactual costs to the government by year for capitalgoods and operating services required by transpor-tation programs Obligations suggest governmentcommitment to future transportation expendituresbut do not indicate when the funds will actually bedisbursed or even if the amounts obligated will bespent

It is important to recognize that in someaccounts in the Budget of the United States Gov-ernment expenditures for a particular year under-state total government disbursements This isbecause certain offsetting collections of fees andassessments from the public are not treated as gov-ernment revenues but deducted from disburse-ments to determine expenditures These collectionsare those mandated by statute to directly fundagency expenditures rather than be transferred tothe US Treasury For this reason expenditures donot necessarily indicate how much the federal gov-ernment actually spends on transportation eachyear

Highway ExpendituresFederal Highway Administration (FHWA) expen-

ditures include funds for Federal Aid Highways(financed from the HTF) and the Interstate Substitu-tion and Railroad Crossing Demonstration(financed from the general fund) The NationalHighway Traffic Safety Administration (NHTSA)expenditures include operations research andhighway traffic safety grants Federal highwayexpenditures also include road construction activi-ties managed by the Department of the InteriorsNational Park Service Bureau of Indian AffairsBureau of Reclamation and Bureau of Land Man-agement the Department of Agricultures ForestService the Department of Housing and UrbanDevelopment and other federal agencies

State and local governments highway expendi-tures reported by the Census Bureau are generallyslightly lower than those reported in FHWAsHighway Statistics because the FHWA includessome highway expenditure data such as lawenforcement activities and patrols and policing ofstreets and highways not included in the Censusdata Box 3-1 outlines the major differences inCensus Bureau and FHWA calculation of state andlocal highway transportation financial statistics

Transit ExpendituresFederal expenditures include grants to states and

local agencies for the construction acquisition andimprovement of mass transportation facilities andequipment and for the payment of operatingexpenses Several other items are also includedFederal Railroad Administration (FRA) commuterrail subsidies related to the transition of Conrail tothe private sector research and administrativeexpenses of the Federal Transit Administration(FTA) and Federal interest payment contributionto the Washington Metropolitan Area Transporta-tion Authority (WMATA)

Air ExpendituresFederal expenditures reported here consist of all

FAA expenditures such as those associated withconstructing operating and maintaining thenational air traffic system administration of theairport grant program safety regulation andresearch and development NASA expenses relatedto air transportation are also included

Appendix E Data Source and Accuracy Statements

State and local expenditures for air include theoperation and maintenance of airport facilities asadministered by local airport and port authoritiesquasigovernment agencies with responsibilities forpromoting safe navigation and operations for airmodes

Waterway and Marine ExpendituresFederal expenditures comprise those parts of the

US Coast Guards expenses that are transporta-tion-related such as aids to navigation marinesafety and marine environmental protection Allexpenses of the US Maritime Administration areincluded such as subsidies for construction andoperation of vessels by US-flag operatorsresearch and development and training of shipofficers Also included are those expenses of theUS Army Corps of Engineers for construction andoperations and maintenance of channels harborslocks and dams protection of navigation the sala-ries and expenses of the Federal Maritime Commis-sion and the expenses of the Panama CanalCommission Expenditures of the Panama CanalCommission for FY 2000 include outlays for thefirst quarter of operations including severance payand accumulated leave FY 2001 expenses are forthe settlement of remaining accident and contractclaims against the Commission

State and local governments incur water trans-portation expenditures by operating and maintain-ing water terminal facilities within ports andharbors

Rail ExpendituresFederal rail transportation expenditures include1 expenses for rail safety enforcement2 inspection and program administration3 railroad research and development4 financial assistance to states for planning

acquisition rail facility construction and trackrehabilitation with respect to low volume freightlines

5 grants to Amtrak including funds to upgradethe high-speed line between Boston Massachu-setts and Washington DC owned by Amtrak (theNortheast Corridor Improvement Program)annual appropriations to cover operating lossesand funds to invest in new equipment and facilities

6 the purchase of redeemable preference sharesfor track rehabilitation and line acquisition and

7 loan guarantee defaults for railroad rehabilita-tion and improvement and Conrail labor protection1

The local rail freight assistance program a pro-gram of FRA grants to state governments has hada 7030 percent federal-state funding share since1982

Pipeline ExpendituresThe Office of Pipeline Safety (OPS) reimburses

state agencies up to 50 percent of their costs tocarry out state pipeline safety programs Federalexpenditures are for the enforcement programsresearch and development and grants for statepipeline safety programs

General Support ExpendituresGeneral fund expenditures include all of the

expenses of the following agencies Office ofInspector General National Transportation SafetyBoard all expenses of the Research and SpecialPrograms Administration (except pipeline expen-ditures) and the Office of the Secretary of Trans-portation (except for payments to Air Carriers andthe Commission on Aircraft Safety)

Limitations of the Source Data SetsThe database covers civilian transportation-

related activities of government agencies includingthose of the US Army Corps of Engineers and USCoast Guard

As mention earlier federal government data arecompiled for the federal fiscal year which beginson October 1 while state and local data are for fis-cal years that generally start in July except for fourstates with other starting dates (Alabama andMichigan in October New York in April andTexas in September) While this may create a smallerror in totals for any given year the data are suit-able for illustrating trends in public transportationfinance

Readers should note that state and local govern-ments data for census years are full counts and notsubject to sampling errors whereas the data for

1 Funds in the Conrail Labor Protection Program wereprovided for benefits to Conrail employees deprived ofemployment because of work force reductions and otheractions This program no longer exists since Conrail hasbeen returned to the private sector In 1988 the unobligatedbalances available from this program were transferred to theUSCG and in 1990 they were returned to the US Treasury

Appendix E Data Source and Accuracy Statements

noncensus years are estimated from annual surveysof the Bureau of the Census which are subject tosampling variability of less than three percent TheCensus Bureaursquos database also does not includedetailed modal information on interest earningsand bond issue proceeds on the revenue side norbond retirement and interest payments on theexpenditure side

RevenuesTransportation-related revenues like local gov-

ernment property taxes on vehicles equipmentand streets and state income taxes to support railand intercity bus services are not covered becausethey are not shown in the source materials used tocompile the database In addition taxes collectedfrom users of the transportation system that gointo the general fund are not included For exam-ple rail generates fuel taxes that are designated fordeficit reduction and hence are not considered as

transportation revenues The portion of the High-way Trust Fund (HTF) that goes to the generalfund is not considered as transportation revenues

ExpendituresIt is important to recognize that in some

accounts in the Budget of the United States Gov-ernment expenditures for a particular year under-state total government disbursements This isbecause certain offsetting collections of fees andassessments from the public are not treated as gov-ernment revenues but deducted from disburse-ments to determine expenditures These collectionsare those mandated by statute to be applieddirectly to finance agency expenditures rather thanbeing transferred to the Treasury

In addition the Census Bureaursquos highway expen-ditures data do not include highway law enforce-ment expenditures which form a part of the stateand local highway expenditures published in the

Box 3-1US Census Bureau and Federal Highway Administration Calculations of State and Local TransportationFinancial Statistics Differ in the Following Ways

Item Census FHWA

Motor fuel tax revenues Includes state and local tax reve-nues on any fuel used in motorvehicles and on gasoline used byaircraft

Includes state and local fuel taxrevenues attributed to highway useof fuels including diesel fuel gas-ohol and liquefied petroleum gasused by private and commercialhighway use motor vehicles andtransit Does not include revenueson gasoline used by aircraft

Motor vehicle license tax revenues Includes vehicle mileage andweight taxes on motor carriershighway use taxes or off-high-way fees

Does not include vehicle mileageand weight taxes on motor carri-ers highway use taxes or off-high-way fees

Local parking charges revenues Includes local parking revenues Not explicitly collected

Highway expenditures Excludes patrols or policing ofstreets and highways traffic con-trol activities of police or publicsafety agencies law enforcementand safety activities of vehicleinspection enforcement and vehi-cle size and weight enforcementstreet cleaning activities androads within parks maintained bya park agency

Includes patrols or policing ofstreets and highways traffic con-trol activities of police or publicsafety agencies law enforcementand safety activities of vehicleinspection enforcement and vehi-cle size and weight enforcementstreet cleaning activities and roadswithin parks maintained by a parkagency

Appendix E Data Source and Accuracy Statements

Highway Statistics To maintain consistencybetween the different modes regarding the types ofexpenditures included these additional data fromthe Highway Statistics report have not been used

Data AdjustmentsRevisions and corrections to previously pub-

lished data have been made in most cases Thebase year for chained dollar estimates for currentdata sets is 1996 while the earlier version was pre-sented in chained 1992 dollars Moreover the fol-lowing adjustments have been incorporated

RevenuesTransportation-related revenues of the Aquatic

Resources Fund have been added to water trans-portation revenues In this case only the excise taxcharged on motor boat fuels for the Boat SafetyProgram is assumed to be transportation-related

The preceding data series did not account forrevenues of Pollution Fund Off-Shore Oil Pollu-tion Fund and Deep Water Port Liability Fundprior to FY 1990 The current data sets includesrevenues for these funds prior to FY 1990

ExpendituresNot all expenditures for the US Coast Guard

(USCG) as reported by the Office of Managementand Budget are considered transportation-relatedA new approach has been used to arrive at moreaccurate USCG transportation-related expendi-tures Similar to the previous approach the cur-rent approach includes all expenditures forEnvironmental Compliance and Restoration Alter-ation of Bridges and Oil Spill Recovery Part ofthe expenditures for Operations Acquisition Con-struction and Improvement Research amp Develop-ment and Test and Evaluation are considered astransportation Within these program areas onlyAids to Navigation Marine Safety and MarineEnvironmental Protection activities are included inthe earlier data sets In the current version moreactivities like Search and Rescue and Ice Opera-tions have been included In addition Boat SafetyProgram expenditures have also been included

Trust fund share of pipeline safety was added tothe Research and Special Programs Administrationexpenditures since FY 1994 This item was notcovered in the previously published data

Federal GrantsFederal grants to state and local governments for

the Boat Safety Program have been includedThese were not included in the previously reporteddata

Data for federal transit grants are obtained fromthe Office of Management and Budget public budgetdatabase In the previous data series they were esti-mated by deducting direct federal transit expendituresgrants from the total federal transit expenditures

REFERENCES

Corrado C C Gilbert et al (1997) ldquoIndustrialProduction and Capacity Utilization HistoricalRevision and Recent Developmentsrdquo FederalReserve Bulletin 83(2) 67

Korn EL and BI Graubard 1991 ldquoA Note onthe Large Sample Properties of Linearization Jack-knife and Balanced Repeated Replication Methodsfor Stratified Samplesrdquo The Annals of Statistics 19(4)2275-2279

Krewski D and JN K Rao 1981 ldquoInferencefrom Stratified Samples Properties of Lineariza-tion Jackknife and Balanced Repeated ReplicationMethodsrdquo The Annals of Statistics 9(5)1010-1019

Kunze K and M Jablonski (1998) Productivityin Service-Producing Industries Brookings Work-shop on New Service-Sector Data WashingtonDC

Landerfeld J S and R P Parker (1997) ldquoBEAsChain Indexes Time Series and Measures of Long-term Economic Growthrdquo Survey of Current Busi-ness 77(5) 58

Moulton BR and EP Seskin (1999) ldquoA pre-view of the 1999 Comprehensive Revision of theNational Income and Product Accounts StatisticalChangesrdquo Survey of Current Business 79 (October1999) 6-17

Parker R P and J E Triplett (1996) ldquoChain-Type Measures of Real Output and Prices in theUS National Income and Product Accounts anUpdaterdquo Business Economics 31 (4) 37

Appendix E Data Source and Accuracy Statements

Ritter JA (2000) ldquoFeeding the NationalAccountsrdquo Federal Reserve Bank of St LouisReview MarchApril11-20

SCB (1991) ldquoGross Domestic Product as a Mea-sure of US Productionrdquo Survey of Current Business

Seskin E P and R P Parker (1998) ldquoA Guideto the NIPAsrdquo Survey of Current Business78(3)26

US Department of Labor Bureau of Labor Sta-tistics1997 Measurement Issues in the ConsumerPrice Index Referenced at httpstatsblsgovcpigm697htm on May 13 1999

Valliant R 1993 ldquoPoststratification and Con-ditional Vairance Estimationrdquo Journal of theAmerican Statistical Association 88 (421)89-96

Young A H (1993) ldquoReliability and accuracyof the Quarterly Estimates of GDPrdquo Survey of Cur-rent Business 73(10) 29

Young A H and H S Tice (1985) ldquoAn Intro-duction to National Economic Accountingrdquo Sur-vey of Current Business 65 59

Yuskavage R E (1996) ldquoImproved Estimatesof Gross Product by Industry 1959-94rdquo Survey ofCurrent Business 76(8) 133

Appendix E Data Source and Accuracy Statements

Chapter 4 Energy and the Environment

PETROLEUM SUPPLY

TABLE 4-1 Overview of US Petroleum Production Imports Exports and Consumption

The petroleum supply system is extremely com-plicated with many different processes productsand entities involved Briefly crude oil is producedor imported transported to refineries where it isrefined into various products and then transportedto markets Imports and exports of crude oil andproducts must be accounted for as must be nonpe-troleum components of final products such as nat-ural gas plant liquids and ethanol for gasolineblending

The US Department of Energy Energy Informa-tion Administration (EIA) collects extensive data atselect points in the petroleum supply system Six-teen surveys are conducted by EIAs PetroleumSupply Reporting System to track the supply anddisposition of crude oil petroleum products andnatural gas plant liquidsbull five weekly surveys cover refineries (form

EIA-800) bulk terminal stocks (form EIA-801) product pipelines (form EIA-802) crude stocks (form EIA-803) and imports (form EIA-804)

bull eight monthly surveys cover the same five points plus tanker and barge movement (form EIA-817) gas processing facilities (form EIA-816) and oxygenates (form EIA-819M)

bull one survey (form EIA-807) collects propane data on a monthly basis in the warmer months (April-September) and on a weekly basis in the colder months

bull one annual survey determines production capacity of oxygenates and fuel ethanol (form EIA-819A) and

bull one annual survey determines refinery fuel use capacity and crude oil receipts by trans-portation mode (form EIA-820)

The five weekly surveys target key points in thepetroleum supply system They do not include allcompanies but sample 90 percent of volume ateach selected point in the supply system EIA rank-orders the companies involved in the survey andsends surveys as it scrolls down the list stoppingwhen it reaches the 90 percent level Although 100

percent coverage is sacrificed this method keepsthe level of incoming data manageable and avoidsburdening the smallest companies All data arereviewed and anomalies checked

Monthly surveys provide data that are used in themonthly and annual reports They are similar to theweekly surveys but are more exhaustive in both therange of data collected and the depth of the collec-tion Sample sizes and response rates for several ofthe key points in the supply system are shown intable A The eight monthly surveys cover the indus-try more accurately than the weekly surveys andprovide some double-check points that the othersurveys do not EIA expends considerable effort toensure that its data are as accurate as possible Revi-sions are made throughout the year For exampleEIAs Annual Energy Review 1996 released in July1997 provided a preliminary 1996 number for totalpetroleum production of 830 million barrels perday (mmbd) The Annual Energy Review 1997released a year later revised that to 825 mmbd andthe 1999 Review reported 829 mmbd

No complicated survey is likely to be 100 per-cent accurate EIA lists four sources of potentialsystematic errors

1 Some members of the target population aremissed EIA reports that it continually reviews thelists and searches industry periodicals and newspa-pers to identify new actors Considering the nature

TABLE AAverage Response Rates for Monthly Surveys 1998

Survey SiteAverage

universe site

Average number of

respondents PercentRefinery 252 243 963Bulk terminal 300 287 956Pipeline 81 80 993Crude oil stocks 174 169 991Refinery 252 243 963Bulk terminal 300 287 956

NOTE The average response rate is calculated by summing indi-vidual monthly response rates and dividing by 12

SOURCE Tammy G Heppner and Carol L French Energy Infor-mation Administration US Department of Energy Accuracy of Petroleum Supply Data (Washington DC 1998)

Appendix E Data Source and Accuracy Statements

of the petroleum industry it is very unlikely thatcompanies with significant production are notsurveyed

2 Some members of the target population do notrespond EIA reports a 97 percent response rate formonthly surveys For some points in the supply sys-tem the average response is over 99 percent Sur-vey respondents are required by law to respondbut some nonresponse is inevitable especiallyamong small companies EIA assumes that the non-respondents value for that month is the same asfor the previous month except for imports Sinceimports vary widely with respondents frequentlyhaving no imports EIA assumes a nonresponsemeans zero imports It can be assumed that EIA isgood at ldquofilling in the blanksrdquo Assuming for illus-tration purposes that 05 percent of productiondoes not respond and that EIA is 90 percent accu-rate in covering the gap then there is a possibilityof a 005 percent error Applying that to total pro-duction of 829 mmbd in 1999 suggests that therecould be an error of 00041 mmbd (4100 barrelsper day) which would not affect the publishednumber

3 The most serious problem may be responseerror A company may have poor data perhaps asa result of imperfect measurements or it maytransmit the wrong number EIA has no controlover a companys data quality Companies haveincentive to measure their inputs and productsaccurately Otherwise they may be cheating them-selves or risking ill will with their customers or sup-pliers However no instrumentation is perfectlyaccurate The high throughput of say a refinerywith capacity of several hundred thousand barrelsper day with a variety of products changing den-sity and some lost or used on site is very compli-cated to measure Instrumentation errors are likelyto be systematic at any one site although they willbe more nearly random in the aggregate for allfacilities There is potential for small but significantoverall errors

Mistakes may be made in recording and transfer-ring the data EIA reviews the data and flags grosserrors or missing data for review by the respon-dent However not all errors will be picked up byEIA andor the respondent Overall responseerrors probably are several times as large as nonre-sponse errors but it is beyond the scope of thisprofile to estimate them

4 The final potential source of systematic erroris in the clarity of the survey form ie whether allrespondents interpret it correctly No doubt errorsand ambiguities can creep into a form but at leastfor petroleum supply that does not appear to be amajor risk The supply system is not changing rap-idly and EIA should be able to keep with it and theterminology However the final digit of EIAs pub-lished supply data is questionable

For additional information on survey methodol-ogy and statistical reliability the reader is referredto the EIA reference cited in the tables or the EIAInternet site at wwweiadoegov

FUEL AND ENERGY CONSUMPTION

TABLE 4-1 Overview of US Petroleum Production Imports Exports and Consumption

TABLE 4-2 US Consumption of Energy from Primary Sources by Sector

TABLE 4-3 Domestic Demand for Refined Petroleum Products by Sector

TABLE 4-4 US Energy Consumption by the Transportation Sector

TABLE 4-7 Domestic Demand for GasolinePetroleum consumption is far more complex to

measure than supply Instead of a few hundredcompanies at most measuring points in the supplysystem there are tens of millions of consumers Itwould be impossible for any survey of individualconsumers to produce the high rate of return ofUS Department of Energy (DOE) Energy Infor-mation Administrations (EIAs) supply surveysEIAs transportation data collection is further lim-ited by the termination of the Residential Transpor-tation Energy Consumption Survey (RTECS)Therefore EIA uses surveys of sales of products(eg Form EIA-821 Annual Fuel Oil and Kero-sene Sales Report) or tax collection data from theUS Department of Transportation Federal High-way Administration (FHWA)

EIA reviewed the accuracy of its energy con-sumption data in a 1990 monograph Energy Con-sumption by End-Use Sector a Comparison ofMeasures by Consumption and Supply SurveysUnfortunately this monograph does not discuss the

Appendix E Data Source and Accuracy Statements

transportation sector because the consumption andsupply surveys were not comparable Howeversome of the results from other sectors indicate thediscrepancies between supply and consumptionsurveys Table B shows the ratio of fuel supplied tothe sector to consumption reported by the sector inconsumption surveys

In most cases supply is reported as substantiallylarger than consumption Supplies of fuel oil to thecommercial sector are reported at almost twice thelevel of consumption reported by that sector Someof the discrepancies may be due to definition differ-ences (eg fuel oil for apartment buildings isincluded in commercial supply surveys but not inconsumption surveys) Overall however the differ-ences are too large for great confidence in the accu-racy of the data

If transportation had been reviewed in the sameformat it is likely that the discrepancies wouldhave been larger Most transportation fuel (gaso-line for automobiles) is purchased in small quanti-ties at irregular intervals and cannot be checkedsimply by looking at a utility bill Hence highwaytransportation energy consumption surveys mustbe extensive to avoid the risk of large uncertaintiesin the data But with the termination of theRTECS EIA ceased conducting such surveys Con-sumption data must be derived indirectly fromsales of petroleum products and tax collectiondata While petroleum supply may be accurate toone decimal place it is likely that disaggregating bysector use may be within plus or minus several per-centage points or perhaps about half a quadrillionBritish thermal unit (Btu) in table 4-1

Motor GasolineAlmost all gasoline is consumed in the transpor-

tation sector Small amounts are used in the com-mercial sector for nonhighway use and the

industrial sector which includes agriculture con-struction and other uses Subtracting estimates ofthose uses from the known total sales yields thetransportation sectors total which is further sub-divided into highway and marine use Aviationgasoline is of course used entirely in the transpor-tation sector (for a very few high-performanceautomobiles as well as small aircraft)

Data on actual sales is collected by the states forrevenue purposes These data are forwarded toFHWA EIA uses the data from FHWA to allocatehighway consumption of motor gasoline among thestates For 1999 FHWA reported 1247 billion gal-lons of gasoline sold nationally for highway useEIAs table 512c of the Annual Energy Review 2000lists 833 mmbd of gasoline supplied for the transpor-tation sector the same as 1277 billion gallons

Such close agreement between supply anddemand is not totally convincing Definitions areunique to each state (eg whether gasohol iscounted as pure gasoline or part gasoline and partrenewables) measurement points vary from stateto state and each state handles losses differentlyHence the total of all states sales of gasoline is notentirely consistent

Separation of highway from nonhighway uses ofgasoline is by necessity based in part on carefulestimates Nevertheless overall gasoline sales arewell documented and the separation is probablyfairly accurate Refinery output of motor gasolinewas 793 mmbd in 1999 which is probably accu-rate to the first decimal place and maybe a littlebetter The transportation sectors 833 mmbdwould have about the same accuracy

Diesel FuelDiesel fuel is used in highway vehicles railroads

boats and military vehicles Sales are only about30 percent of gasoline in the transportation sectorbut uncertainties are greater More diesel than gas-oline is used for nonhighway purposes especiallyagriculture and construction In addition there hasbeen more potential for cheating to avoid the taxheating oil is virtually the same as diesel fuel andcan easily be transferred to a vehicle However thisis less significant now that tracers have been addedto fuel oil After the addition of tracers the amountof transportation diesel fuel use jumped

To estimate diesel fuel sales by mode EIA startswith the total supply of distillate fuel and subtracts

TABLE BReported Ratio of Fuel Supply to Reported Consumption

Sector Electricity Gas OilResidential 105 092 092Commercial 091 138 196Industrial 118 128 134

SOURCE US Department of Energy Energy Information Admin-istration Energy Consumption by End-Use Sector A Comparison of Measures by Consumption and Supply Surveys DOEEIA-0533 (Washington DC 1990)

Appendix E Data Source and Accuracy Statements

the small amount sold to electric utilities (the mostaccurately known sector as measured by EIA FormEIA-759) The remainder is divided among theother end-use sectors according to EIAs sales sur-veys (Form EIA-821 Annual Fuel Oil and Kero-sene Sales Report and Form EIA-863 PetroleumProduct Sales Identification Survey)

This method introduces several potential ele-ments of inaccuracy First the surveys of each sec-tor are probably less accurate than the supplysurveys noted earlier Companies and individualsmay inadvertently send incorrect data or notrespond at all Then EIA has to determine whatadjustment factor to use for each end-use sectorSince each sector will have a different response rateto the surveys the adjustments will be differentLarge adjustments can introduce large errors EIAhas not published its adjustments for the transpor-tation sector As shown in table 2 the adjustmentsin other sectors range from 5 to 96 percent ofreported consumption Even a 20 percent adjust-ment could introduce an error of one or two per-centage points (plus or minus) for any one sector

Overall the accuracy of diesel fuel use in thetransportation sector should be viewed with someskepticism

Jet FuelJet fuel is the only other petroleum-based fuel

that is used in large quantities (over 1 million bar-relsday) in the transportation sector Virtually allof it is used by airlines These data are accuratebecause airlines are required to report usage andbecause there are relatively few certificated air car-riers data collection should be manageable

NONPETROLEUM FUELS CONSUMPTION

TABLE 4-10 Estimated Consumption of Alternative and Replacement Fuels for Highway Vehicles

Collectively oxygenates natural gas electricityand various alternative fuels amount to only about 3percent of all energy used in the transportation sec-tor While this may not be much greater than theerror bars associated with petroleum use it is impor-tant to track changes in these fuels accurately

OxygenatesOxygenates mostly methyl tributyl ether

(MTBE) which is derived from natural gas andethanol are part of mainstream gasoline supplyThey are measured routinely with petroleum sup-ply (forms EIA-819A and 819M) Consumption isestimated from production net imports and stockchanges Refineries and other entities are requiredto report data on oxygenates and EIA also moni-tors production capability to provide a crosscheckThus oxygenates data are likely to be reasonablyaccurate

Natural GasNatural gas is used in the transportation sector

mainly as the fuel for compressor stations on natu-ral gas transmission lines A small but growingamount is used in compressed or liquefied form invehicles EIA collects data on natural gas much as itdoes for petroleum but the system is much simplerNatural gas transmission companies may not knowexactly how much gas is used in compressor sta-tions but they have a good idea based on the sizeof the equipment and the load on the line Thereported numbers probably are reasonably accu-rate Data on natural gas-fueled vehicles are col-lected by DOE via Form-886 which is sent to fuelsuppliers vehicle manufacturers and consumersIn addition private associations and newslettersare important sources of information on alternativevehicles and alternative fuels use Since mostgroups work cooperatively with DOE it is likelythat the data reported are accurate EIA tracks thenumber of natural gas vehicles and the number ofrefueling stations to provide a cross check on esti-mates of natural gas consumption

ElectricityElectricity powers intercity trains (Amtrak) and

intracity rail systems In addition the number ofelectric vehicles is growing There is considerableuncertainty over the energy consumed by thesemodes Amtrak no longer provides national totalsof its electricity consumption Data on intracitytransit is based on US Department of Transporta-tion Federal Transit Administrations (FTAs)National Transit Database (NTD) The legislativerequirement for the NTD is found in Title 49USC 5335(a) Transit agencies receiving fundsthrough the Urbanized Area Formula Program are

Appendix E Data Source and Accuracy Statements

generally required to report financial and operatingdata including energy use Although the data isgenerally considered accurate because FTA reviewsand validates information submitted reliabilitymay vary because some transit agencies cannotobtain accurate information or may misinterpretcertain data

If electric vehicles become important over thenext decade or two dedicated charging stationsmay become commonplace which could provideaccurate data Fleet owners (eg electric utilities)can keep accurate records but individuals whoplug their vehicles in at home may not Electricityuse must be estimated from the number of suchvehicles and the expected driving cycles Hencedata on electric power for transportation must beviewed as an estimate

It should also be noted that electricity is a formof work that usually is generated from heat withthe loss of about two-thirds of the energy Automo-bile engines are equivalent to electric generators inthat they convert chemical energy to heat and thento work losing most of the energy as waste heatWhen electrical energy is compared to petroleum intransportation the waste heat must be included forconsistency A kilowatt-hour of electricity is equiv-alent to 3413 British thermal units (Btu) butabout 10000 Btu of heat are required to produceit This factor is dropping as generators becomemore efficient High efficiency gas turbines mayrequire 8000 Btu or less but the average is muchhigher It is usually impossible to tell where thepower for a specific use is generated so average fig-ures for a region are used to estimate the wasteenergy a factor that further reduces the accuracy ofthe data

Alternative FuelsIn addition to oxygenates natural gas and elec-

tricity alternative fuels include ethanol and metha-nol EIA tracks the numbers of such vehiclesthrough Form-886 state energy offices federaldemonstration programs manufacturers and pri-vate associations These numbers probably arefairly accurate although it is difficult to monitorretirements Fuel consumption is estimated fromthe types of vehicles in operation vehicle milestraveled and expected fuel efficiency Adjustmentsare necessary for the relatively few flexible-fuel

vehicles Obviously the reported data are estimatesonly

FUEL AND ENERGY CONSUMPTION BY MODE

TABLE 4-5 Fuel Consumption by Mode of Transportation

TABLE 4-6 Energy Consumption by Mode of Transportation

TABLE 4-8 Certificated Air Carrier Fuel Consumption and Travel

TABLE 4-9 Motor Vehicle Fuel Consumption and Travel

TABLE 4-11 Passenger Car and Motorcycle Fuel Consumption and Travel

TABLE 4-12 Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel

TABLE 4-13 Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel

TABLE 4-14 Combination Truck Fuel Consumption and Travel

TABLE 4-15 Bus Fuel Consumption and TravelFuel consumption data are collected quite differ-

ently than supply data collected by the US Depart-ment of Energy Energy Information Administration(EIA) Highway fuel consumption for example isbased on US Department of Transportation Fed-eral Highway Administration (FHWA) data col-lected from states in the course of revenue collectionEIA starts from the fuel delivered to transportationentities

HighwayHighway fuel data (tables 4-5 4-9 and 4-11

through 4-15) are collected mainly by FHWA Allstates plus the District of Columbia report totalfuel sold along with travel by highway categoryand vehicle registration Data typically flows fromstate revenue offices to the state departments oftransportation to FHWA Even if reporting is rea-sonably accurate some data are always anomalousor missing and must be modified to fit expected

Appendix E Data Source and Accuracy Statements

patterns In addition as discussed earlier there aresome significant differences in methodology anddefinitions among the states In particular statesdiffer in where the tax is applied in the fuel supplysystem how gasohol is counted how nonhighwayuse is treated and how losses are handled

Nonhighway use of gasoline and diesel fuel is aparticularly large source of potential error Somestates designate nonhighway users as tax-exemptothers make the tax refundable In either casemany people wont bother to apply if the amountof money is small Nonhighway use of diesel fuel isespecially large because many construction andagricultural vehicles are diesel powered Thus thefraction of petroleum attributed to transportationcould be overestimated On the other hand somenonhighway fuel finds its way into the transporta-tion system because heating oil can be used as die-sel fuel evading the tax Tracers are now added toheating oil which appears to have reduced the levelof such tax evasionmdashif found in a trucks fuel tankthe tracer indicates diversion from a nontaxedsource

Breaking fuel use down by class of motor vehicleintroduces the potential for error FHWA must esti-mate the miles each class is driven and the fueleconomy Estimation of miles is based on the 1995Nationwide Personal Transportation Survey(NPTS) administered by FHWA and the VehicleInventory and Use Survey (formerly known as theTruck Inventory and Use Survey) conducted by theUS Census Bureau For information about thesetwo surveys the reader is referred to the technicalappendix of Our Nations Travel available fromthe FHWA Office of Highway Information Man-agement and the 1997 Census of Transportationavailable from the Economics and StatisticsAdministration within the Census Bureau Fueleconomy is based on state-supplied data TIUSand the National Highway Traffic Safety Adminis-tration data on new car fuel economy which mustbe reduced by about 15 percent to reflect actualexperience on the road Overall both vehicle-milesof travel and fuel economy are estimates

Fuel consumption by buses is particularly uncer-tain FHWA collects data on intercity buses andthe American Public Transit Association (APTA)covers local travel Very little data are collected onschool buses APTA figures are based on data fromthe USDOT Federal Transit Administrations

(FTAs) National Transit Database which coversabout 90 to 95 percent of total passenger-milesThese data are generally accurate because FTAreviews and validates information submitted byindividual transit agencies Reliability may varybecause some transit agencies cannot obtain accu-rate information or may misinterpret data APTAconservatively adjusts the FTA data to include tran-sit operators that do not report to FTA such as pri-vate and very small operators and rural operatorsPrior to 1984 APTA did not include most ruraland demand responsive systems

AirThe US Department of Transportation Bureau

of Transportation Statistics Office of Airline Infor-mation (OAI) is the source of these data The num-bers are based on 100-percent reporting of fuel useby large certificated air carriers (those with revenuesof more than $100 million annually) via Form 41The data are probably reasonably accurate becausethe airlines report fuel use regularly and the limitednumber of airlines aids data management

Smaller airlines such as medium size regionaland commuter air carriers are not required toreport energy data OAI estimates that about 8 per-cent would have to be added to the total of thelarger airlines to account for this use but that hasnot been done in table 4-5 or 4-8

General aviation aircraft and air taxis are cov-ered in the General Aviation and Air Taxi and Avi-onics Survey conducted by the Federal AviationAdministration (FAA) The survey is conductedannually and encompasses a stratified systematicdesign from a random start to generate a sample ofall general aviation aircraft in the United States Itis based on the FAA registry as the sampling frameFor instance in 2000 a sample of 31039 aircraftwas identified and surveyed from an approximatepopulation of 256927 registered general aviationaircraft

The reliability of the GAATA survey can beimpacted by two factors sampling and nonsam-pling error A measure called the standard error isused to indicate the magnitude of sampling errorStandard errors can be converted for comparabilityby dividing the standard error by the estimate(derived from the sample survey results) and multi-plying it by 100 This quantity referred to as thepercent standard error totaled two and four-tenths

Appendix E Data Source and Accuracy Statements

of a percent in 2000 for the general aviation fleetA large standard error relative to an estimate indi-cates lack of precision and inversely a small stan-dard error indicates precision

Nonsampling errors could include nonresponsea respondents inability or unwillingness to providecorrect information differences in interpretation ofquestions and data entry mistakes The reliabilityof general aviation fleet data comparisons overtime would decrease because of changes imple-mented in 1978 and sampling errors discussedabove Readers should note that nonresponse biasmay be a component of reliability errors in the datafrom 1980 to 1990 The FAA conducted telephonesurveys of nonrespondents in 1977 1978 and1979 and found no significant differences or incon-sistencies between respondent and nonrespondentreplies The FAA discontinued the telephone surveyof nonrespondents in 1980 to save costs Nonre-sponse surveys were resumed in 1990 and the FAAfound notable differences and make adjustments toits data to reflect nonresponse bias

The US Government in particular the Depart-ment of Defense (DOD) uses a large amount of jetfuel as shown in table 4-19 (see discussion on gov-ernment consumption below) However DODreports all fuel purchased including from foreignsources for operations abroad While the data maybe accurate it is not comparable to EIAs overallUS supply and consumption figures on jet fuel

International operations are included in table 4-8but not table 4-5 The fuel use for internationaloperations includes that purchased by US airlinesfor return trips OAI does not collect data on for-eign airline purchases of fuel in the United StatesThus a significant use of US jet fuel is missedHowever these two factors approximately balanceeach other out As shown in table 1-34 foreigncarrier traffic is just slightly less than US carrierinternational traffic so presumably the fuel pur-chased here by foreign carriers is very close to thefuel purchased abroad by US carriers

RailThe data are from Railroad Facts published

annually by the Association of American Railroads(AAR) AAR figures are based on 100 percentreporting by Class I railroads to the Surface Trans-portation Board (STB) via Schedule 700 of the R1Annual Report Thus the data are considered accu-

rate STB defines Class I railroads as having operat-ing revenues at or above a threshold indexed to abase of $250 million (1991) and adjusted annuallyin concert with changes in the Railroad Freight RateIndex published by the Bureau of Labor Statistics In2001 the adjusted threshold for Class I railroadswas $2667 million Although Class I railroads rep-resent only 1 percent of the number of railroads inthe country they account for over 70 percent of theindustrys mileage operated and more than 90 per-cent of all freight revenue energy consumptionshould be of the same order For passenger travelinformation is unavailable Amtrak no longer pro-vides data on a national basis and the regional dataappears to be inconsistent

TransitThe APTA figures are based on information in

FTAs National Transit Database APTA conserva-tively adjusts FTA data to include transit operatorsthat do not report to the FTA Database (privateand very small operators and rural operators)which accounts for about 90 to 95 percent of thetotal passenger-miles The data are generally accu-rate because the FTA reviews and validates infor-mation submitted by individual transit agenciesReliability may vary because some transit agenciescannot obtain accurate information or misinterpretcertain data definitions in federal guidelines

WaterThe EIA collects data on residual and distillate

fuel oils and diesel through its Annual Fuel Oil andKerosene Sales Report survey form EIA-821 Thesurvey targets companies that sell fuel oil and kero-sene to end users This survey commenced in 1984and data from previous years should be used withcaution

Sampling Frame and DesignThe samples target universe includes all compa-

nies that sell fuel oil and kerosene to end users EIAderives the sampling frame from the EIA-863 data-base containing identity information for approxi-mately 22300 fuel oil and kerosene sellers EIAstratifies the sampling frame into two categoriescompanies selected with certainty and uncertaintyThose in the certainty category varied but includedthe end use ldquovessel bunkeringrdquo or sales for thefueling of commercial and private watercraft

Appendix E Data Source and Accuracy Statements

Sampling Error Imputation and EstimatesEIA reported a 925 percent response rate for the

2000 survey The EIA also provides estimates ofthe sampling error for geographic areas and USaverages are 18 for residential distillate fuel oil08 for nonresidential retail distillate fuel oil and01 for retail residual fuel oil Some firms inevita-bly ignore survey requests causing data gaps EIAestimates the volumes of these firms sales by impu-tation more detailed information and the algo-rithm can be obtained at EIAs web site in thetechnical notes for the Annual Fuel Oil and Kero-sene Sales Report See httpwwweiadoegovoil_gaspetroleumdata_publicationsfuel_oil_and_kerosene_salesfokshtml

TABLE 4-19 US Government Energy Consumption by Agency and Source

Energy consumption data are collected byDOEs Office of Federal Energy Management Pro-grams in cooperation with most departments andagencies DOD is by far the largest consumeraccounting for about 80 percent of the total Asdiscussed above the data includes fuel purchasedabroad for military bases Since government agen-cies are required to report these data they areprobably accurate However it is possible thatsome consumption is missed For example someagencies may report only fuel supplied directlymissing consumption such as gasoline purchasedby employees while on government business forwhich they are then reimbursed In additionsmaller agencies were neglected Overall howeverthe data should provide a fairly good approxima-tion of government energy consumption

ENERGY EFFICIENCY

TABLE 4-20 Energy Intensity of Passenger Modes

TABLE 4-21 Energy Intensity of Certificated Air Carriers All Services

TABLE 4-22 Energy Intensity of Passenger Cars Other 2-Axle 4-Tire Vehicles and Motorcycles

TABLE 4-24 Energy Intensity of Transit Motor Buses

TABLE 4-25 Energy Intensity of Class I Railroad Freight Service

TABLE 4-26 Energy Intensity of Amtrak ServiceTotal energy consumed for each mode can be

estimated with reasonable accuracy Miles trav-eled are known for some modes such as air carri-ers but less accurately for others most notablyautomobiles When the numbers of passengers ortons are required to calculate energy efficiencyanother uncertainty is introduced Again air car-riers and intercity buses know how many passen-gers are on board and how far they travel butonly estimates are available for automobiles andintracity buses

Thus table 4-21 should be quite accurate forcertificated air carriers though it is missing smallairlines and private aircraft Table 4-22 is based onFHWA fuel tax data derived from state fuel taxrevenues VMT is as discussed for tables 1-9 and1-10 Data for motorcycles must be adjusted signif-icantly more than for automobiles because lessinformation is collected from the states or fromsurveys Transit bus data (table 4-24) are veryuncertain because unlike intercity buses the dis-tance each passenger travels is not measured byticket sales

The intermodal comparison of passenger travelin table 4-20 must be viewed with considerablecaution Data for the different modes are collectedin different ways and the preparation of the finalresults is based on different assumptions As notedabove airlines accurately record passenger milesbut the data on occupancy of private automobilesmust be estimated from surveys Even relativelycertain data such as state sales of gasoline must bemodified to resolve anomalies and transit data areeven harder to make consistent Furthermore dif-ferent groups collect the data for the variousmodes and they have different needs assumptionsand methodologies Thus the comparisons areonly approximate

Freight service data (table 4-25) are from Rail-road Facts published annually by the Associationof American Railroads (AAR) AAR figures arebased on 100 percent reporting by Class I railroadsto the Surface Transportation Board (STB) viaSchedule 700 of the R1 Annual Report STBdefines Class I railroads as having operating reve-nues at or above a threshold indexed to a base of

Appendix E Data Source and Accuracy Statements

$250 million (1991) and adjusted annually in con-cert with changes in the Railroad Freight RateIndex published by the Bureau of Labor StatisticsIn 2000 the adjusted threshold for Class I rail-roads was $ 2619 million Although Class I rail-roads comprise only 1 percent of the number ofrailroads in the country they account for over 71percent of the industrys mileage and 91 percent ofall freight revenue energy data should be of thesame order

TABLE 4-27 Annual Wasted Fuel Due to Congestion

TABLE 4-28 Wasted Fuel per Eligible Driver

The Texas Transportation Institutes (TTI) UrbanRoadway Congestion Annual Report provided fig-ures for tables 4-27 and 4-28 TTI relies on datafrom the US Department of Transportation Fed-eral Highway Administration Highway Perfor-mance Monitoring System database (HPMS) (Seebox 1-1 for detailed information about the HPMS)TTI utilizes these data as inputs for its congestionestimation model Detailed documentation for theTTI model and estimations can be found at httpmobilitytamuedu

The sum of fuel wasted in typical congestion(recurring delay) and incident related delays equalthe annual wasted fuel for an urban area Recur-ring delay is the product of recurring delay (annualhours in moderate heavy and severe delays) andaverage peak period system speed divided by aver-age fuel economy Incident delay hours are multi-plied by the average peak period system speed anddivided by the average fuel economy to produce theamount of incident fuel wasted

Structure Assumptions and ParametersUrban roadway congestion levels are estimated

using a formula measuring traffic density Averagedaily travel volume per lane on freeways and prin-cipal arterial streets are estimated using area wideestimates of vehicle-miles of travel and lane milesof roadway The resulting ratios are combinedusing the amount of travel on each portion of thesystem (freeway and principal arterials) so that thecombined index measures conditions overall Thisvariable weighting factor allows comparisonsbetween areas such as Phoenix-where principal

arterial streets carry 50 percent of the amount oftravel of freeways-and cities such as Phoenix wherethe ratio is reversed Values greater than one areindicative of undesirable congestion levels Read-ers seeking the algorithm for the congestion indexshould examine httpmobilitytamuedu

In previous reports TTI assumed that 45 percentof all traffic regardless of the urban locationoccurred in congested conditions TTI indicatedthat this presumption overestimated travel in con-gested periods Its 2002 estimates now vary byurban area anywhere from 18 to 50 percent oftravel that occurs in congestion TTIs modelstructure applies to two types of roads freewaysand principal arterial streets The model derivesestimates of vehicle traffic per lane and trafficspeed for an entire urban area Based on variationin these amounts travel is then classified under 5categories uncongested moderately congestedheavily congested severely congested andextremely congested (a new category in 1999) Thethreshold between uncongested and congested waschanged in 1999 Previous editions classified con-gested travel when area wide traffic levels reached14000 vehicles per lane per day on highways and5500 vehicles per lane per day on principal arterialstreets For the current edition these values are15500 and 5500 vehicles per lane per day respec-tively Previous years values have been re-esti-mated based on these new assumptions Readersshould refer to the TTI website for more detailedinformation on its estimation procedures httpmobilitytamuedu

TTI reviews and adjusts the data used in itsmodel including statewide average fuel cost esti-mates (published by the American AutomobileAssociation) and the number of eligible drivers foreach urban area (taken from the Statistical Abstractof the United States published by the US Depart-ment of Commerce Bureau of the Census) Themodel has some limitations because it does notinclude local variations (such as bottlenecks localtravel patterns or transportation improvements)that affect travel times TTI documentation doesnot provide information on peer-review sensitivityanalysis or estimation errors for their modelInformation about sensitivity analysis or externalreviews of the model could not be obtained andusers should interpret the data cautiously

Appendix E Data Source and Accuracy Statements

ENVIRONMENT

TABLE 4-38 Estimated National Average Vehicle Emissions Rates by Vehicle Type and Fuel

TABLE 4-39 National Average Vehicle Emissions Rates by Vehicle Type Using Reformulated Gasoline

The US Environmental Protection Agency usesits Mobile Source Emissions Factor Model(MOBILE) to generate average emissions factorsfor each vehicle and fuel type The methods usedin the model are theoretically sound the assump-tions are reasonable but the data vary in qualityand no formal analysis of the accuracy of these esti-mates has been performed Emissions rate esti-mates for light-duty vehicles are considered morereliable than those for heavy-duty vehicles becausein-use emissions tests are performed on a sample ofvehicles each year Deterioration for heavy-dutyvehicles in the national fleet are based only onmanufacturers engine deterioration tests In addi-tion because reformulated fuels (table 4-39) arenewer than other gasoline fuels (table 4-38) in useemissions test data for reformulated fuels are not asextensive

The estimates in the tables represent average emis-sions rates taking into account the characteristics ofthe nations fleet including vehicle type and age andfuel used The model also assumes Federal Test Pro-cedure conditions The model does not take intoaccount actual travel distributions across differenthighway types with their associated average speedsand operating mode fractions nor do they considerambient local temperatures However fleet compo-sition and deterioration because of age are consid-ered Thus these rates illustrate only trends due tovehicle emissions control improvements and theirincreasing use in the national fleet and should not beused for other purposes

TABLES 4-40 4-41 4-42 4-43 4-44 4-45 and 4-46 Estimates of National Emissions of Carbon Monoxide Nitrogen Oxides Volatile Organic Compounds Particular Matter Sulfur Dioxide and Lead

Emissions by sector and source are estimatedusing various models and calculation techniques

and are based on a number of assumptions and ondata that vary in precision and reliability Themethods used are theoretically sound the assump-tions are reasonable but the data vary in qualityand no formal analysis of the accuracy of these esti-mates has been performed

Carbon Monoxide (CO) Nitrogen Oxides (NOx) and Volatile Organic Compounds (VOCs)

Highway vehicle emissions of CO NOx andVOC are generated by the US Environmental Pro-tection Agencys (EPAs) Mobile Source EmissionsFactor Model (MOBILE) which uses per-milevehicle emissions factors and vehicle travel (vehi-cle-miles) to calculate county-level emissionsEmissions rates are then adjusted based on fuelcharacteristics vehicle fleet composition emissionscontrol measures average vehicle speed and otherfactors that can affect emissions (Emissions ratesused in MOBILE are based on vehicle certificationtests emissions standards and in-use vehicle testsand are updated approximately every three years)The US Department of Transportation FederalHighway Administrations Highway PerformanceMonitoring System is the source of vehicle travelestimates used in the model Although the method-ology for this survey data is sound and well docu-mented analyses have shown that individual statesvary in how rigorously they follow the establishedsampling guidelines

The nonhighway vehicle emissions are calculatedannually by running EPAs NONROAD model forall categories except aircraft commercial marinevessels and railroads which are calculated viaemission factors and relevant activity data Inputsto the NONROAD model include average temper-atures Reid vapor pressure fuel usage programsand controls

Particulate Matter Under 10 Microns (PM-10) and 25 Microns (PM-25) in Size

Highway vehicle emissions are estimated usingthe US Environmental Protection Agencys PARTmodel which estimates emissions factors forexhaust emissions and brake and tire wear by vehi-cle type Exhaust emissions factors are based oncertification tests while brake wear (per vehicle)and tire wear (per tire) are assumed values whichare constant over all years Per-mile emissions fac-tors are multiplied by vehicle travel (vehicle-miles)

Appendix E Data Source and Accuracy Statements

and adjusted to account for other factors that effectexhaust emissions (eg fuel composition weatheretc) The US Department of Transportation Fed-eral Highway Administrations Highway Perfor-mance Monitoring System is the source of vehicle-miles of travel (VMT) estimates used in the modelWhile the methodology for this survey data issound and well documented analyses have shownthat individual states vary in how rigorously theyfollow the established sampling guidelines

Fugitive dust estimates for paved and unpavedroads are calculated by multiplying VMT on eachtype of road by emissions factors for each vehicletype and road type

The non-highway vehicle emissions are calcu-lated annually by running EPAs NONROADmodel for all categories except aircraft commercialmarine vessels and railroads which are calculatedvia emission factors and relevant activity dataInputs to the NONROAD model include averagetemperatures Reid vapor pressure fuel usage pro-grams and controls

Sulfur Dioxide (SO2)Highway vehicle SO2 emissions are estimated by

multiplying vehicle travel (for each vehicle type andhighway type) by an emissions factor reflectingeach vehicle type and highway type Highway SO2emissions factors are based on vehicle type andmodel year sulfur content of fuel by type and yearfuel density by fuel type and vehicle fuel efficiencyby type and model year

In general estimates for nonhighway vehicles arecalculated based on fuel consumption and sulfurcontent of fuel though other factors may beconsidered

LeadIn general lead emissions are estimated by multi-

plying an activity level by an emissions factor thatrepresents the rate at which lead is emitted for thegiven source category This estimate is thenadjusted by a factor that represents the assumedeffectiveness of control technologies For leadreleased during combustion a top-down approachis used to share national estimates of fuel consump-tion by fuel type to each consumption category(eg motor fuel electric utility etc) and subse-quently each source (eg passenger cars light-duty trucks etc)

TABLE 4-47 Air Pollution Trends in Selected Metropolitan Statistical Areas (MSAs)

TABLE 4-48 Areas in Nonattainment of National Ambient Air Quality Standards for Criteria Pollutants

The US Environmental Protection Agency mea-sures concentrations of pollutants in the ambientair at its air quality monitoring sites which areoperated by state and local agencies These sitesconform to uniform criteria for monitor sitinginstrumentation and quality assurance and eachsite is weighted equally in calculating the compositeaverage trend statistics Furthermore trend sitesmust have complete data for 8 of the 10 years inthe trend time period to be included Howevermonitoring devices are placed in areas most likelyto observe significant concentrations of air pollut-ants rather than a random sampling of sitesthroughout the nation

TABLE 4-49 US Carbon Dioxide Emissions from Energy Use by Sector

The combustion of fossil fuels such as coalpetroleum and natural gas is the principal anthro-pogenic (human caused) source of carbon dioxide(CO2) emissions Since fossil fuels are typically 75percent to 90 percent carbon by weight emissionsfrom the combustion of these fuels can be easilymeasured in carbon units as is shown in the table

CO2 emissions data are derived from estimatesThe US Department of Energy Energy Informa-tion Administration (EIA) estimates CO2 emis-sions by multiplying energy consumption for eachfuel type by its carbon emissions coefficient thensubtracting carbon that is sequestered by nonfueluse of fossil fuels Carbon emissions coefficientsare values used for scaling emissions to specificactivities (eg pounds of CO2 emitted per barrel ofoil consumed)

Emissions estimates are based on energy con-sumption data collected and published by EIASeveral small adjustments are made to its energyconsumption data to eliminate double counting ormiscounting of emissions For example EIA sub-tracts the carbon in ethanol from transportationgasoline consumption because of its biologicalorigin

Emissions coefficients are based on the densitycarbon content and heat content of petroleum

Appendix E Data Source and Accuracy Statements

products For many fuels except liquefied petro-leum gas (LPG) jet fuel and crude oil EIAassumed coefficients to be constant over time ForLPG jet fuel and crude oil EIA annualized carbonemissions coefficients to reflect changes in chemicalcomposition or product mix

Since the combustion of fossil fuels is a majorproducer of CO2 emissions sources of uncertaintyare related to 1) volumes of fuel consumed 2)characteristics of fuel consumed 3) emissions coef-ficients and 4) coverage EIA notes that volumet-ric fuel data are fairly reliable in the 3 percent to 5percent range of uncertainty The density andenergy content of fuels are usually estimatedAccording to EIA the reliability of these estimatesvary For example estimates of the energy contentof natural gas are reliable to 05 percent while esti-mates for coal and petroleum products are lowerbecause they are more heterogeneous fuels Thereliability of emissions coefficients depends onwhether the characteristics of a fuel are difficult tomeasure accurately Finally uncertainties mayresult because data may be excluded or unknownsources of emissions not included

EIAs estimation methods emissions coefficientsand the reliability of emissions estimates are discussedin detail in US Department of Energy Energy Infor-mation Administration Emissions of GreenhouseGases in the United States 1998 available onwwweiadoegovoiaf1605ggrptindexhtml

TABLE 4-50 Petroleum Oil Spills Impacting US Waterways

The U S Coast Guards (USCG) Marine SafetyInformation System (MSIS) is the source of thesedata It includes data on all oil spills impactingUS navigable waters and the Coastal Zone TheUSCG learns of spills through direct observationreports from responsible parties and third partiesResponsible parties are required by law to reportspills to the National Response Center (NRC)Reports may be made to the USCG or Environ-mental Protection Agency predesignated On SceneCoordinator for the geographic area where the dis-charge occurs if direct reporting to the NRC is notpracticable There is no standard format for thesereports but responsible personnel face significantpenalties for failing to do so Most reports aremade by telephone and USCG personnel completeinvestigations based on the information provided

The type and extent of an investigation conductedvaries depending on the type and quantity of thematerial spilled Each investigation will determineas closely as possible source of the pollutant thequantity of the material spilled the cause of theaccident as well as whether there is evidence thatany failure of material (either physical or design)was involved or contributed to the incident Theseare so financial responsibility may be properlyassigned for the incidents as well as proper recom-mendations for the prevention of the recurrence ofsimilar incidents may be made

Some spills may not be entered into MSISbecause they are either not reported to or discov-ered by the USCG The probability of a spill notbeing reported is inversely proportional to its sizeLarge spills impact a large area and a large numberof people resulting in numerous reports of suchspills Small spills are less likely to be reportedparticularly if they occur at night or in remoteareas where persons other than the responsibleparty are unlikely to detect them Responsible par-ties are required by law to report spills and facepenalties for failing to do so providing a strongincentive to report spills that might be detected byothers Experience with harbor patrols shows thatthe number of spills increases as the frequency ofpatrols increases However the volume of materialspilled does not increase significantly indicatingthat the spills discovered through increased harborpatrols generally involved very small quantities

Data CollectionFrom 1973 to 1985 data were collected on

forms completed by the investigator and laterentered into the Pollution Incident Reporting Sys-tem (PIRS) by data entry clerks at USCG headquar-ters Since 1985 data have been entered directlyinto MSIS by the investigator From 1985 to 1991data were entered into a specific electronic formthat captured information on the spilled substanceand pollution response actions Since 1995 agrowing number of reports of pollution incidentsof 100 gallons or less of oil have been captured ona Notice of Violation ticket form which are thenentered into MSIS

The information shown in this table comes fromthe USCG Spill Compendium which contains spilldata from the applications described above TheCompendium contains summary data from 1969

Appendix E Data Source and Accuracy Statements

through 2000 and is intended to provide generalinformation to the public the maritime industryand other interested persons about spills in andaround US waterways For more informationabout spill data please refer to the USCG Internetsite at httpwwwuscgmilhqg-mnmcresponsestatsaahtm

Nonsampling ErrorsAccording to the USCG nonsampling errors

such as nonreporting and mistakes made in datacollection and entry should not have a majorimpact on most interpretations of the data but theimpact will vary depending on the data used Theerror rate for volume spilled is estimated to be lessthan 5 percent because larger spills which accountfor most of the volume of oil spilled are thor-oughly reviewed at several levels The error ratefor the number of spills is difficult to estimate pri-marily due to low reporting rates for small spillsMost of the error in spill counts involves spills ofless than 100 gallons

TABLE 4-51 Leaking Underground Storage Tank Releases and Cleanups

A national inventory of reported spills and cor-rective actions taken for leaking underground stor-age tanks is compiled biannually based on statecounts of leaking tanks reported by owners asrequired by the Resource Conservation and Recov-ery Act of 19761 These data may be affected bygeneral accounting errors some of which havechanged semiannual counts by as many as 2000actions

TABLE 4-52 Highway Noise Barrier Construction

State highway agencies (SHAs) provide data onhighway noise barrier construction extent andcosts to the US Department of TransportationFederal Highway Administration Individual SHAdefinitions of barriers and costs may differ Thiscould lead to nonuniformity andor anomaliesamong state data which will in turn affect nationaltotals

TABLE 4-53 Number of People Residing in High-Noise Areas Around US Airports

The number of the people exposed to aircraftnoise around airports is estimated by computermodeling rather than by actual measurements TheUS Department of Transportation (USDOT) Fed-eral Aviation Administrations (FAAs) IntegratedNoise Model (INM) has been the primary tool forassessing aircraft noise around airports for nearly30 years This model uses information on aircraftmix average daily operations flight tracks andrunway distribution to generate and plot contoursof Day Night Sound Level (DNL) With the addi-tion of a digitized population census database themodel can estimate the number of residentsexposed to noise levels of 65 decibels (db) DNL

The US Environmental Protection Agency(EPA) produced the first estimate of airport noiseexposure in 1975 It reported that 7 million resi-dents were exposed to significant levels of aircraftnoise in 1978 This number became the ldquoanchorpointrdquo for all future estimates of the nationwidenoise impacts In 1980 FAA developed anothermethodology for estimating the change in the num-ber of people impacted by noise (from the 1975anchor value) as a function of changes in both thenational fleet and in the FAAs Terminal Area Fore-cast (TAF) In 1990 the FAA created an improvedmethod of estimating the change in number of peo-ple impacted (relative to the 1980 estimates)

In 1993 the FAA began using its newly devel-oped Nationwide Airport Noise Impact Model(NANIM) to estimate the impact of airplane noiseon residential communities surrounding US air-ports that support jet operations FAA uses thismodel to determine the relative changes in numberof people and land area exposed to 65 db DNL as aresult of changes in nationwide aircraft fleet mixand operations NANIM uses data on air trafficpatterns found in the Official Airline Guide(OAG) air traffic growth projections found inFAAs TAF population figures from the US Cen-sus Bureau and information on noise contourareas for the top 250 US civil airports with jetoperations

The methodology used in NANIM has been peerreviewed and approved However a formal evalu-ation of the models accuracy has not been con-ducted Some data used in NANIM are updatedmanually thus the possibility of data entry errors1 Public Law 94-580 90 Stat 2795 (Oct 21 1976)

Appendix E Data Source and Accuracy Statements

does exist Entries are reviewed and then correctedas appropriate The aircraft mix and operationsfiles from FAAs TAF and OAG are updated auto-matically Changes to either of the sources couldintroduce errors For example it was recently dis-covered that OAG redefined some aircraft codesand altered some data fields in its database Thesechanges make it impossible for the NANIM utilityprogram to accurately read the current OAG data-base A rewrite of the source code is necessary toeliminate this error Also since airport authoritiesare not required to produce noise exposure mapsand reports unless they intend to apply for Federalgrants 14 of the 50 busiest commercial airportsincluding JFK and LaGuardia have not produced(for public consumption) noise exposure maps inseveral years In the absence of actual data theNANIM database contains approximations of thenoise contours areas based on airports of similarsize and similar operation Without actual airportdata it is impossible to quantify the error intro-duced by the approximation

The number of people exposed to aircraft noisefor 1998 through 2001 was estimated by the FAArsquoslatest version of its MAGENTA model This newmore accurate model is based on 2000 census dataand uses input data on aircraft and operations spe-cific to US airports This revised model also usesthe FAA Terminal Forecast (TAF) which providesinformation on how operations will increase on anairport specific basis Updated monthly the TAFallows a more accurate forecast of US operations

TABLE 4-54 Motor Vehicles ScrappedThe Polk Companys Vehicles in Operation data-

base is the source of these data This database is acensus of vehicles that are currently registered in allstates within the United States It is based on infor-mation from state department of motor vehiclesPolk updates the database quarterly (March JuneSeptember and December)

Scrapped vehicles are those that Polk removesfrom its database when 1) States indicate regis-tered vehicles have suffered major damage (such asa flood or accident) or 2) No renewal (reregistra-tion) notice is received by Polk within a statesallotted time (normally one year) In the lattercase if a vehicle is subsequently reregistered it isreturned to the database The Polk data on motorvehicles is broken down into passenger cars and

trucks and this identification comes with the regis-tration data from the DMV

REFERENCES

US Department of Energy Energy InformationAdministration 1994 Accuracy of Petroleum Sup-ply Data Tammy G Heppner and Carol L FrenchedsWashington DC

US Department of Energy Energy InformationAdministration 1990 Energy Consumption byEnd-Use Sector A Comparison of Measures byConsumption and Supply Surveys DOEEIA-0533Washington DC

US Environmental Protection Agency Office ofMobile Sources 1998 MOBILE5 InformationSheet 7 NOx Benefits of Reformulated GasolineUsing MOBILE5a Ann Arbor MI September 30

US Environmental Protection Agency Office ofAir Quality Planning and Standards 1998 NationalAir Pollutant Emission Trends Procedure Docu-ment 1900-1996 EPA-454R-98-008 ResearchTriangle Park NC May

US Environmental Protection Agency Office ofMobile Sources 1996 Memorandum on Releaseof MOBILE5b (Revised Chapter 2 for the UsersGuide to MOBILE5) October 11

US Environmental Protection Agency Office ofAir Quality and Standards Emission Factor andInventory Group 1995 Compilation of Air Pollut-ant Emission Factors AP-42 Volume II MobileSources Appendix H Fifth ed June 30

US Environmental Protection Agency Office ofMobile Sources (OMS) 1995 Draft Users Guideto PART5 A Program for Calculating ParticleEmissions from Motor Vehicles EPA-AA-AQAB-94-2 Ann Arbor MI February

US EPA Office of Mobile Sources 1994 UsersGuide to MOBILE5 (Mobile Source Emission FactorModel) EPA-AA-TEB-94-01 Ann Arbor MI May

US Environmental Protection Agency Office ofAir and Radiation 1992 Procedures for EmissionInventory Preparation Volume IV Mobile SourcesEPA-4504-81-026d (Revised)

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