Census.govThis report was prepared under the general direction of Franklin Winters, Assistant...

District of Columbia: 2004 Issued June 2006CBP/04-10

County Business Patterns

U.S. Department of CommerceEconomics and Statistics Administration

U.S. CENSUS BUREAU

This report was prepared under the general direction of Franklin Winters, Assistant Division Chief forResearch and Methodology, Economic Planning and Coordination Division. Paul Hanczaryk, Chief,Register Analysis Branch, supervised the preparation of this report and was assisted by Susan Keehan,Tracy Palmer, and Jim Warden. Joel Fowler, Mary Green, Lavelle Lee, Tracy Palmer, JimWarden, and Jon Youngman contributed in resolving establishment processing problems and in dataanalysis. David Chapman contributed to the editing system and provided other methodologicalimprovements.

Additional data analysis was provided by the staffs of Bernard J. Fitzpatrick, Assistant Division Chieffor Collection Activities, Economic Planning and Coordination Division, assisted by David Eade; andAngela Feldman Harkins, Assistant Division Chief, Processing, National Processing Center, assisted byMarsha Sowders and Jan Speaker. Statistical methodology and quality assurance operations wereperformed by Michael Kornbau, Steve Klement, Thomas Cevis, and Michelle Vile.

Steven McCraith, Chief, Census Related Surveys Branch, Economic Statistical Methods andProgramming Division, assisted by Dan Vacca, supervised computer support operations. JerryRichards and Bob Penrod provided additional support for computer operations.

Donna L. Hambric, Assistant Division Chief for Customer Relationship and Products, was responsiblefor overseeing the systems and information for dissemination. Douglas J. Miller, Chief, Tables andDissemination Branch, assisted by Lisa Aispuro, Jamie Fleming, John C. Walsh, Andrew W. Hait,Shawna Orzechowski, and Nathan Scarlett were responsible for developing the data disseminationsystems and procedures.

The Economic Statistical Methods and Programming Division, Howard R. Hogan, Chief, developed andcoordinated the computer processing systems. Barry F. Sessamen, Assistant Division Chief for PostCollection, was responsible for design and implementation of the processing systems and computerprograms. Gary T. Sheridan, Chief, Macro Analytical Branch, assisted by Apparao V. Katikineni andEdward F. Johnson, provided computer programming and implementation.

Bernadette J. Beasley, Michael T. Browne, and Kevin Proctor of the Administrative and CustomerServices Division, Walter C. Odom, Chief, provided publications and printing management, graphicsdesign and composition, and editorial review for print and electronic media. General direction andproduction management were provided by James R. Clark, Assistant Division Chief.

Special acknowledgment is also due the many businesses whose cooperation contributed to thepublication of these data.

ACKNOWLEDGMENTS

District of Columbia: 2004

County Business Patterns

Issued June 2006

CBP/04-10

U.S. Department of CommerceCarlos M. Gutierrez,

SecretaryDavid A. Sampson,

Deputy Secretary

Economics and StatisticsAdministration

Vacant,Under Secretary for

Economic Affairs

U.S. CENSUS BUREAUCharles Louis Kincannon,

Director

Thomas L. Mesenbourg,Associate Directorfor Economic Programs

C. Harvey Monk, Jr.,Assistant Directorfor Economic Programs

Shirin A. Ahmed,Chief, EconomicPlanning and Coordination Division

SUGGESTED CITATION

U.S. Census Bureau,County Business Patterns 2004

DISTRICT OF COLUMBIA

Washington, DC,2006

ECONOMICS

AND STATISTICS

ADMINISTRATION

Economicsand StatisticsAdministration

Vacant,Under Secretaryfor Economic Affairs

U.S. CENSUS BUREAU

Charles Louis Kincannon,Director

Hermann Habermann,Deputy Director andChief Operating Officer

CONTENTS

Introduction v��

Tables

1. Establishments, Employees, and Payroll by Major Group for theDistrict: 2004 and 2003 1��

2. Establishments, Employees, and Payroll by Industry andEmployment Size of Establishments for the District: 2004 4��

3. Establishments with 1,000 Employees or More by Major Groupand Employment Size of Establishments for the District: 2004 201�

4. Establishments, Employees, and Payroll for the District: 2004and 2003 203��

5. Establishments, Employees, and Payroll by Industry andEmployment Size of Establishments for the District: 2004 204��

Appendixes

A. Explanation of Terms A–1��B. NAICS Codes, Titles, and Descriptions B–1��C. Methodology C–1��

County Business Patterns District of Columbia iiiU.S. Census Bureau

Introduction

PURPOSES AND USES OF THE COUNTY BUSINESS PATTERNS

County Business Patterns is an annual series that provides subnational economic data by industry.The series is useful for studying the economic activity of small areas; analyzing economic changesover time; and as a benchmark for statistical series, surveys, and databases between economiccensuses. Businesses use the data for analyzing market potential, measuring the effectiveness ofsales and advertising programs, setting sales quotas, and developing budgets. Government agen-cies use the data for administration and planning.

County Business Patterns covers most of the country’s economic activity. The series excludes dataon self-employed individuals, employees of private households, railroad employees, agriculturalproduction employees, and most government employees.

This series has been published annually since 1964 and at irregular intervals dating back to 1946.The comparability of data over time may be affected by definitional changes in establishments,activity status, and industrial classifications. For more details on these changes, see the section“Comparability With Other Data.”

INDUSTRY CLASSIFICATIONS

Data from the 2004 County Business Patterns are published primarily according to the 2002 NorthAmerican Industry Classification System (NAICS). The 2004 County Business Patterns seriesincludes the following NAICS sectors:

11 Forestry, Fishing and Hunting, and Agricultural Support Services (NAICS 113-115)21 Mining22 Utilities23 Construction31-33 Manufacturing42 Wholesale Trade44-45 Retail Trade48-49 Transportation and Warehousing51 Information52 Finance and Insurance53 Real Estate and Rental and Leasing54 Professional, Scientific, and Technical Services55 Management of Companies and Enterprises56 Administrative and Support and Waste Management and Remediation Services61 Educational Services62 Health Care and Social Assistance71 Arts, Entertainment, and Recreation72 Accommodation and Food Services81 Other Services (except Public Administration)99 Industries Not Classified

County Business Patterns data are tabulated by industry as defined in the manual entitled NorthAmerican Industry Classification System: United States, 2002 with some exceptions.

The 2004 County Business Patterns covers all NAICS industries except crop and animal production(NAICS 111,112), rail transportation (NAICS 482), Postal Service (NAICS 491), pension, health, wel-fare, and vacation funds (NAICS 525110, 525120, 525190), trusts, estates, and agency accounts(NAICS 525920), private households (NAICS 814), and public administration (NAICS 92).

RELATIONSHIP TO HISTORICAL INDUSTRY CLASSIFICATIONS

Prior to the 1998 County Business Patterns series, data were published according to the StandardIndustrial Classification (SIC) system. NAICS identifies new industries, redefines concepts, anddevelops classifications to reflect changes in the economy. While many of the individual NAICS

vCounty Business Patterns

U.S. Census Bureau

industries correspond directly to industries as defined under the SIC system, most of the higherlevel groupings do not. Particular care should be taken in comparing data for construction, manu-facturing, retail trade, and wholesale trade, which are sector titles used in both the NAICS and SICsystems, but cover somewhat different groups of industries. A description and comparison of theNAICS and SIC systems can be found in the 2002 NAICS and 1987 Correspondence Tables on theInternet at www.census.gov/epcd/naics02/N02TOS87.HTM.

COMPARABILITY WITH OTHER DATA

Earlier County Business Patterns

The comparability of data with previous County Business Patterns series may be affected by thefollowing revisions:

• The change in industrial classification systems from the Standard Industrial Classification (SIC)to the North American Industry Classification System (NAICS) occurred in 1998 for the 50 statesand District of Columbia; the change from SIC to NAICS occurred in 2003 for the Puerto RicoCounty Business Patterns data series. A complete description of the correspondence betweenthe SIC system and the NAICS is located at the following link:www.census.gov/epcd/www/naicstab.htm.

• Beginning with the 2003 County Business Patterns data series, the industry classifications arebased on the 2002 North American Industry Classification System (NAICS). The revisions fromthe 1997 NAICS are primarily in the Construction, Wholesale Trade, Retail Trade, and Informa-tion sectors. A complete description of the changes in NAICS codes from 1997 to 2002 islocated at the following link: www.census.gov/epcd/naics02.

• Beginning with the 2003 County Business Patterns series, cases previously classified as “Admin-istrative and auxiliary” are coded in the operating NAICS sector of the establishment.

• The change in definition of “active” establishments in 1983.

• The change from a “reporting unit” concept to “establishment”-based data in 1974.

2002 Economic Census

Definitional and coverage differences may affect the direct comparison of 2002 Economic Censusand County Business Patterns data. Definitions of an establishment, employment, and payroll aredetailed in Appendix A, Explanation of Terms, of each publication.

The 2002 Economic Census generally uses respondent-reported data. County Business Patternsuses administrative record data for small establishments. Although efforts are made to resolvesignificant differences in the data, differences are known to exist.

Some large companies report different activities at the same location as separate profit centers.The County Business Patterns program treats each profit center as a separate establishment. The2002 Economic Census may combine the profit centers into one establishment. This results inestablishment count differences.

DATA PRODUCTS

Reports

The County Business Patterns data series includes a separate printed report for each state, theDistrict of Columbia, Puerto Rico, and the United States. Individual state reports present payrolland employment data for the state and counties by industry. The reports also include the numberof establishments by industry and employment size class.

The United States report presents similar data for the country as a whole. In addition, the U.S.report provides employment and payroll data by employment size class for major industrygroups.

vi County Business Patterns

U.S. Census Bureau

Data for industries with fewer than 100 employees, as well as data for detailed industries with-held to avoid disclosing data for individual companies, are not shown in the printed reports. How-ever, these data are available on CD-ROM and other computer products.

The following is a description of the County Business Patterns publications issued in previousyears:

• 1974 through 2003. Data are provided for mid-March employment, first-quarter and annualpayrolls, and establishments, by industry, for each county in the state and, in a separate report,for the United States. Data are included for every industry having a significant number ofemployees or establishments. Refer to General Explanation for a description of the types ofemployment covered.

• 1964 through 1973. Data are provided for first-quarter reporting units, employment, and tax-able payrolls for each county and metropolitan area in the state and, in a separate report, forthe United States. Data are included for every industry having a significant number of employ-ees or reporting units.

• 1959 and 1962. Data are provided for first-quarter reporting units, employment, and taxablepayrolls for each county in the state and, in a separate report, for the United States. Data areincluded for every industry having a significant number of employees or reporting units. Dataare combined for some counties in eight states.

• 1956. Data are provided for first-quarter reporting units, employment, and taxable payrolls foreach county in the state and, in a separate report, for the United States. Data are included forSIC economic divisions, major groups, and selected three-digit SICs. Data are combined forsome counties in eight states.

• 1949 and 1950. Data are provided for first-quarter manufacturing establishments, employ-ment, and taxable payrolls for each large county in the state and, in a separate report, for theUnited States. Data are included for manufacturing major industry groups and selected three-digit SICs. Manufacturing totals are included for small counties. Data are combined for somecounties in eight states.

• 1947, 1948, 1951, and 1953. Data are provided for first-quarter reporting units, employ-ment, and taxable payrolls for each large county in the state and, in a separate report, for theUnited States. Data are included for SIC economic divisions, major groups, and selected three-digit SICs. Economic division totals are included for small counties. Data are combined for somecounties in eight states.

• 1946. Data are provided for first-quarter reporting units, employment, and taxable payrolls foreach large county in the state and, in a separate report, for the United States. Data are includedfor SIC economic divisions and major groups. Economic division totals are included for smallcounties. Data are combined for some counties in eight states.

Electronic Data Formats

County Business Patterns series data are available on CD-ROM, which includes software for creat-ing County Business Patterns data files compatible with popular database and spreadsheet soft-ware. In addition, ZIP Code Business Patterns data are available on DVD-ROM starting in 2002 andon CD-ROM for previous years. ZIP Code Business Patterns data are available shortly after therelease of County Business Patterns and include the number of establishments by NAICS industry.

Recent County Business Patterns publications also are available in Portable Document Format(PDF) at www.census.gov/prod/www/abs/cbptotal.html. In order to view these files, you will needthe Adobe Reader, which is available for free from the Adobe Web site at www.adobe.com.

Older County Business Patterns publications, not shown at the link above, can be found at a Fed-eral Depository Library. To locate a Federal Depository Library, go to www.gpoaccess.gov on theInternet.

viiCounty Business Patterns

U.S. Census Bureau

The American FactFinder system, located at www.census.gov, allows selective retrieval and down-loading of County Business Patterns data.

For information and options to order County Business Patterns data products, contact:

Customer Services CenterMarketing Services OfficeU.S. Census BureauWashington, DC 20233

Telephone: 301-763-INFO (4636)Internet address: www.census.gov

SOURCES OF DATA

County Business Patterns basic data items are extracted from the Business Register, a file of allknown single and multiestablishment employer companies maintained and updated by the U.S.Census Bureau. The annual Company Organization Survey provides individual establishment datafor multiestablishment companies. Data for single-establishment companies are obtained fromvarious Census Bureau programs, such as the Annual Survey of Manufactures and Current Busi-ness Surveys, as well as from administrative records of the Internal Revenue Service, the SocialSecurity Administration, and the Bureau of Labor Statistics.

INDUSTRY AND GEOGRAPHY CLASSIFICATIONS

The quinquennial economic censuses are the primary source for industry and geography classifi-cations. The annual Company Organization Survey, Annual Survey of Manufactures, Current Busi-ness Surveys, and other Census Bureau programs provide regular updates.

Industry Classification

Additional sources for assigning industry classifications are the Social Security Administration, theInternal Revenue Service, and the Bureau of Labor Statistics. These sources provide industry classi-fication information for new businesses and businesses not canvassed in the Census Bureau pro-grams. Establishments without sufficient industry information are tabulated in the “unclassifiedestablishments” group.

Industry classifications are explained in Appendix B. The industry titles used throughout thisseries are the short NAICS titles; complete descriptions are contained in the manual entitled NorthAmerican Industry Classification System: United States, 2002.

Geography Classification

Most geography codes are derived from the physical location address reported in Census Bureauprograms. The Internal Revenue Service and the Bureau of Labor Statistics provide supplementaladdress information. Those employers without a fixed location within a state (or of unknowncounty location) are included under a “statewide” classification at the end of the county tables.This incomplete detail causes only slight understatement of county employment. The independentcities in Virginia, and the cities of Baltimore, MD; Carson City, NV; and St. Louis, MO, are treated asseparate counties.

Employee Leasing Services

Historically, the permanent on-site work force at a business location were paid employees of thatestablishment. This traditional practice of firms directly hiring employees is still the dominantemployer/employee relationship in the United States. However, over the past decade a new workforce arrangement has emerged.

Under this new arrangement, a company commonly known as an employee leasing company orprofessional employer organization (PEO) operates in a co-employment relationship with clientbusinesses. Employee leasing establishments typically acquire and lease back some or all of theemployees of their clients, and serve as the employer of record of the leased employees for pay-roll, benefits, and related purposes.

viii County Business Patterns

U.S. Census Bureau

The 2004 County Business Patterns shows over 1.52 million employees in employee leasing ser-vices (NAICS 561330), down from 1.56 million employees published in the 2003 CBP. Clearly, theemployees are not classified in the predominant industry of the client businesses. Also, leasingcompanies may pay these employees out of a single payroll office. This may result in the leasingcompany’s employment and payroll data being reported in the county where the payroll office islocated, thus distorting the data for that county. In some cases, many thousands of employeesmay be paid from a single payroll office. Therefore, for geography purposes, we may publishemployee-leasing establishments in the “statewide” category in states where such payroll officesare located, as these establishments service multiple counties.

DATA WITHHELD FROM PUBLICATION

In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose theoperations of an individual employer. However, the number of establishments in an industry clas-sification and the distribution of these establishments by employment-size class are not consid-ered to be disclosures, and so this information may be released even though other information iswithheld from publications.

RELIABILITY OF DATA

All data are tabulated from universe files and are not subject to sampling errors. However, thedata are subject to nonsampling errors. Nonsampling errors can be attributed to many sources:inability to identify all cases in the universe; definition and classification difficulties; differences ininterpretation of questions; errors in recording or coding the data obtained; and estimation ofemployers who reported too late to be included in the tabulations and for records with missing ormisreported data.

The accuracy of the data is determined by the joint effects of the various nonsampling errors. Nodirect measurement of these effects has been obtained; however, precautionary steps were takenin all phases of collection, processing, and tabulation to minimize the effects of nonsamplingerrors. Additional information on survey coverage and methodology is found in Appendix C.

ABBREVIATIONS AND SYMBOLS

The following abbreviations and symbols are used with the 2004 County Business Patterns data:

– Represents zero (page image/print only)D Withheld to avoid disclosing data of individual companies; data are included in higher level totalsX Not applicablea 0 to 19 employeesb 20 to 99 employeesc 100 to 249 employeese 250 to 499 employeesf 500 to 999 employeesg 1,000 to 2,499 employeesh 2,500 to 4,999 employeesi 5,000 to 9,999 employeesj 10,000 to 24,999 employeesk 25,000 to 49,999 employeesl 50,000 to 99,999 employeesm 100,000 employees or more

ixCounty Business Patterns

U.S. Census Bureau

Table 1. Establishments, Employees, and Payroll by Major Group for the District: 2004 and2003

[Excludes most government employees, railroad employees, and self�employed persons. For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. Forstatement on reliability, see the note at the end of the table and Appendix C]

NAICScode Geography, kind of business, and year

Establishments(number)

Paidemployees

for pay periodincludingMarch 12(number)

First�quarterpayroll

($1,000)

Annualpayroll

($1,000)


Total for all sectors 2004�� 19 518 436 865 6 055 474 24 283 9452003�� 19 372 422 918 5 581 551 22 456 247

11 Forestry, fishing & hunting, and agricultural support services(NAICS 113�115) 2004�� 4 a D D

2003�� 2 a D D

113 Forestry and logging 2004�� 1 a D D

115 Support activities for agriculture and forestry 2004�� 3 a D D2003�� 2 a D D

21 Mining 2004�� 6 b D D2003�� 7 a D D

211 Oil and gas extraction 2004�� 3 a D D2003�� 4 a D D

212 Mining (except oil and gas) 2004�� 2 a D D2003�� 2 a D D

213 Support activities for mining 2004�� 1 a D D2003�� 1 a D D

22 Utilities 2004�� 35 2 791 55 121 203 6132003�� 38 2 943 54 719 212 532

221 Utilities 2004�� 35 2 791 55 121 203 6132003�� 38 2 943 54 719 212 532

23 Construction 2004�� 332 5 565 60 189 286 3522003�� 325 6 006 66 986 287 475

236 Construction of buildings 2004�� 165 2 303 27 848 128 9902003�� 165 2 291 32 064 135 431

237 Heavy and civil engineering construction 2004�� 32 1 082 12 769 62 4152003�� 29 1 411 13 620 63 406

238 Specialty trade contractors 2004�� 135 2 180 19 572 94 9472003�� 131 2 304 21 302 88 638

31�33 Manufacturing 2004�� 147 1 902 17 456 74 0822003�� 150 1 862 17 711 74 538

311 Food manufacturing 2004�� 21 e D D2003�� 21 e D D

312 Beverage and tobacco product manufacturing 2004�� 2 a D D2003�� 2 a D D

313 Textile mills 2004�� 1 a D D2003�� 1 a D D

314 Textile product mills 2004�� 4 a D D2003�� 4 a D D

315 Apparel manufacturing 2004�� 7 a D D2003�� 6 a D D

322 Paper manufacturing 2004�� 1 a D D2003�� 1 a D D

323 Printing and related support activities 2004�� 62 794 7 461 30 5442003�� 65 842 8 230 31 516

325 Chemical manufacturing 2004�� 5 b D D2003�� 6 b D D

327 Nonmetallic mineral product manufacturing 2004�� 7 129 1 151 5 7442003�� 6 c D D

332 Fabricated metal product manufacturing 2004�� 7 b D D2003�� 8 52 634 3 350

333 Machinery manufacturing 2004�� 3 a D D2003�� 3 a D D

334 Computer and electronic product manufacturing 2004�� 4 b D D2003�� 4 b D D

335 Electrical equipment, appliance, and component manufacturing 2004�� 1 a D D2003�� 1 a D D

336 Transportation equipment manufacturing 2004�� 2 b D D2003�� 1 b D D

337 Furniture and related product manufacturing 2004�� 6 c D D2003�� 8 c D D

339 Miscellaneous manufacturing 2004�� 14 110 1 248 4 8882003�� 13 c D D

42 Wholesale trade 2004�� 412 6 517 87 080 353 0952003�� 367 5 609 72 901 298 193

423 Durable goods merchant wholesalers 2004�� 216 3 658 55 412 221 5212003�� 172 2 638 46 602 188 666

424 Nondurable goods merchant wholesalers 2004�� 174 h D D2003�� 176 2 838 24 629 101 864

425 Wholesale electronic markets and agents and brokers 2004�� 22 c D D2003�� 19 133 1 670 7 663

44�45 Retail trade 2004�� 1 774 19 410 105 346 450 4612003�� 1 813 18 591 100 590 416 274

441 Motor vehicle and parts dealers 2004�� 39 e D D

See footnotes at end of table.

County Business Patterns District of Columbia 1U.S. Census Bureau

Table 1. Establishments, Employees, and Payroll by Major Group for the District: 2004 and2003�Con.




Paidemployees



($1,000)

Annualpayroll

($1,000)

DISTRICT OF COLUMBIA�Con.44�45 Retail trade�Con.441 Motor vehicle and parts dealers�Con.

2003�� 39 e D D

442 Furniture and home furnishings stores 2004�� 103 854 5 399 24 1392003�� 97 814 5 068 21 783

443 Electronics and appliance stores 2004�� 65 e D D2003�� 65 e D D

444 Building material and garden equipment and supplies dealers 2004�� 45 646 4 655 19 7882003�� 50 614 4 391 17 844

445 Food and beverage stores 2004�� 466 5 568 33 052 135 1842003�� 493 5 092 28 883 121 026

446 Health and personal care stores 2004�� 178 2 617 11 283 49 9822003�� 174 2 643 11 069 49 222

447 Gasoline stations 2004�� 73 547 2 604 11 5182003�� 81 557 2 687 11 393

448 Clothing and clothing accessories stores 2004�� 344 3 606 15 595 66 8932003�� 339 3 206 13 543 59 752

451 Sporting goods, hobby, book, and music stores 2004�� 123 1 534 6 244 26 9132003�� 131 1 558 6 111 25 430

452 General merchandise stores 2004�� 33 g D D2003�� 30 1 182 5 334 21 892

453 Miscellaneous store retailers 2004�� 265 1 576 8 468 36 7442003�� 266 1 604 8 751 35 247

454 Nonstore retailers 2004�� 40 465 6 475 29 1832003�� 48 533 9 389 29 319

48�49 Transportation and warehousing 2004�� 178 3 431 27 894 125 1052003�� 184 3 487 28 874 124 534

481 Air transportation 2004�� 29 c D D2003�� 25 170 2 015 8 762

483 Water transportation 2004�� 1 a D D2003�� 1 a D D

484 Truck transportation 2004�� 20 364 2 003 9 8472003�� 22 409 2 714 10 614

485 Transit and ground passenger transportation 2004�� 35 1 024 7 481 32 9512003�� 38 1 068 7 959 34 553

486 Pipeline transportation 2004�� 5 b D D2003�� 6 b D D

487 Scenic and sightseeing transportation 2004�� 6 431 2 577 10 8532003�� 6 453 2 215 9 496

488 Support activities for transportation 2004�� 34 290 2 914 13 3332003�� 33 270 2 670 12 606

492 Couriers and messengers 2004�� 39 644 5 480 22 9012003�� 45 f D D

493 Warehousing and storage 2004�� 9 432 2 902 12 3342003�� 8 425 2 792 12 072

51 Information 2004�� 747 25 414 517 381 1 966 5122003�� 785 26 388 507 337 1 946 009

511 Publishing industries (except Internet) 2004�� 210 11 151 222 684 894 5682003�� 209 11 556 235 884 902 816

512 Motion picture and sound recording industries 2004�� 132 1 302 16 185 64 6482003�� 143 1 002 11 337 47 081

515 Broadcasting (except Internet) 2004�� 60 4 117 102 411 389 8882003�� 63 3 986 81 104 359 890

516 Internet publishing and broadcasting 2004�� 20 257 4 316 17 3392003�� 21 271 4 536 16 261

517 Telecommunications 2004�� 194 5 492 123 429 408 8642003�� 204 6 332 129 095 437 072

518 Internet service providers, web search portals, and data processingservices 2004�� 82 1 883 27 256 108 257

2003�� 96 2 177 29 096 117 812

519 Other information services 2004�� 49 1 212 21 100 82 9482003�� 49 1 064 16 285 65 077

52 Finance and insurance 2004�� 926 19 039 638 530 1 920 2472003�� 931 18 901 514 019 1 672 491

522 Credit intermediation and related activities 2004�� 474 10 597 377 113 1 026 1542003�� 458 9 902 271 043 845 201

523 Securities, commodity contracts, other financial investments, andrelated activities 2004�� 244 3 998 164 152 559 446

2003�� 253 4 167 149 665 490 105

524 Insurance carriers and related activities 2004�� 196 h D D2003�� 201 4 208 79 626 284 616

525 Funds, trusts, and other financial vehicles (part) 2004�� 12 e D D


2 District of Columbia County Business PatternsU.S. Census Bureau

Table 1. Establishments, Employees, and Payroll by Major Group for the District: 2004 and2003�Con.




Paidemployees



($1,000)

Annualpayroll

($1,000)

DISTRICT OF COLUMBIA�Con.

52 Finance and insurance�Con.525 Funds, trusts, and other financial vehicles (part)�Con.

2003�� 19 624 13 685 52 569

53 Real estate and rental and leasing 2004�� 919 8 290 120 294 497 6572003�� 885 8 344 119 571 455 823

531 Real estate 2004�� 831 i D D2003�� 816 i D D

532 Rental and leasing services 2004�� 83 f D D2003�� 67 f D D

533 Lessors of nonfinancial intangible assets (except copyrighted works) 2004�� 5 a D D2003�� 2 a D D

54 Professional, scientific, and technical services 2004�� 4 278 86 216 1 931 969 8 079 9852003�� 4 196 82 696 1 664 916 7 029 530

541 Professional, scientific, and technical services 2004�� 4 278 86 216 1 931 969 8 079 9852003�� 4 196 82 696 1 664 916 7 029 530

55 Management of companies and enterprises 2004�� 196 4 010 95 410 355 8342003�� 200 4 825 151 833 587 196

551 Management of companies and enterprises 2004�� 196 4 010 95 410 355 8342003�� 200 4 825 151 833 587 196

56 Administrative and support and waste management and remediationservices 2004�� 919 29 051 238 399 949 960

2003�� 922 28 347 191 890 794 019

561 Administrative and support services 2004�� 894 28 673 235 240 938 5142003�� 900 28 058 189 456 783 058

562 Waste management and remediation services 2004�� 25 378 3 159 11 4462003�� 22 289 2 434 10 961

61 Educational services 2004�� 464 47 034 381 954 1 617 5992003�� 444 42 233 362 110 1 493 335

611 Educational services 2004�� 464 47 034 381 954 1 617 5992003�� 444 42 233 362 110 1 493 335

62 Health care and social assistance 2004�� 2 095 59 290 635 781 2 695 3762003�� 2 109 59 303 630 519 2 617 617

621 Ambulatory health care services 2004�� 1 219 11 658 145 875 661 4102003�� 1 249 11 948 144 493 641 176

622 Hospitals 2004�� 17 28 405 348 922 1 455 7272003�� 17 28 263 350 577 1 425 698

623 Nursing and residential care facilities 2004�� 187 7 564 50 383 201 5362003�� 190 7 468 48 137 190 440

624 Social assistance 2004�� 672 11 663 90 601 376 7032003�� 653 11 624 87 312 360 303

71 Arts, entertainment, and recreation 2004�� 285 6 880 78 318 257 7122003�� 272 6 226 75 431 255 400

711 Performing arts, spectator sports, and related industries 2004�� 151 3 718 59 700 178 4162003�� 142 3 001 57 559 180 986

712 Museums, historical sites, and similar institutions 2004�� 40 1 149 9 242 38 2142003�� 41 1 265 9 220 37 759

713 Amusement, gambling, and recreation industries 2004�� 94 2 013 9 376 41 0822003�� 89 1 960 8 652 36 655

72 Accommodation and food services 2004�� 1 790 46 570 235 479 1 063 7892003�� 1 796 45 114 226 637 991 879

721 Accommodation 2004�� 120 14 746 100 423 477 9632003�� 112 13 918 95 137 434 209

722 Food services and drinking places 2004�� 1 670 31 824 135 056 585 8262003�� 1 684 31 196 131 500 557 670

81 Other services (except public administration) 2004�� 3 838 65 167 826 998 3 373 8452003�� 3 876 61 934 794 482 3 194 246

811 Repair and maintenance 2004�� 139 774 5 175 20 1042003�� 154 840 5 388 23 830

812 Personal and laundry services 2004�� 827 5 813 32 999 139 8172003�� 815 5 532 31 517 129 050

813 Religious, grantmaking, civic, professional, and similar organizations 2004�� 2 872 58 580 788 824 3 213 9242003�� 2 907 55 562 757 577 3 041 366

99 Industries not classified 2004�� 173 e D D2003�� 70 b D D

Note: To maintain confidentiality, the Census Bureau suppresses data to protect the identity of any business or individual. The census results in this table contain nonsampling errors. Datausers who create their own estimates using data from this table should cite the Census Bureau as the source of the original data only. See also explanation of terms. For the full technical documentation,see Appendix C.


Table 2. Establishments, Employees, and Payroll by Industry and Employment Size ofEstablishments for the District: 2004

[Excludes most government employees, railroad employees, and self�employed persons. Size class 1 to 4 employees includes establishments having payroll, but no employees, during mid�March payperiod. For meaning of abbreviations and symbols, see introductory text. For explanation of terms, see Appendix A. For statement on reliability, see the note at the end of the table and Appendix C]

NAICScode Geography, kind of business, and employment size class


Paidemployees



($1,000)

Annualpayroll

($1,000)


Total for all sectors

All establishments 19 518�� 436 865 6 055 474 24 283 945Establishments with 1 to 4 employees 9 329�� 17 591 219 320 1 131 978Establishments with 5 to 9 employees 3 862�� 25 599 307 562 1 320 652Establishments with 10 to 19 employees 2 728�� 37 083 472 926 1 931 703Establishments with 20 to 49 employees 2 090�� 63 769 805 775 3 261 339Establishments with 50 to 99 employees 773�� 53 469 673 741 2 775 897Establishments with 100 to 249 employees 520�� 80 263 1 182 205 4 652 962Establishments with 250 to 499 employees 140�� 49 151 784 302 3 246 496Establishments with 500 to 999 employees 48�� 32 135 604 416 2 281 381Establishments with 1,000 employees or more 28�� 77 805 1 005 227 3 681 537

11 Forestry, fishing & hunting, and agricultural support services(NAICS 113�115)

All establishments 4�� a D DEstablishments with 1 to 4 employees 3�� a D DEstablishments with 5 to 9 employees 1�� a D DEstablishments with 10 to 19 employees –�� – – –Establishments with 20 to 49 employees –�� – – –Establishments with 50 to 99 employees –�� – – –Establishments with 100 to 249 employees –�� – – –Establishments with 250 to 499 employees –�� – – –Establishments with 500 to 999 employees –�� – – –Establishments with 1,000 employees or more –�� – – –

113 Forestry and logging

All establishments 1�� a D DEstablishments with 1 to 4 employees 1�� a D DEstablishments with 5 to 9 employees –�� – – –Establishments with 10 to 19 employees –�� – – –Establishments with 20 to 49 employees –�� – – –Establishments with 50 to 99 employees –�� – – –Establishments with 100 to 249 employees –�� – – –Establishments with 250 to 499 employees –�� – – –Establishments with 500 to 999 employees –�� – – –Establishments with 1,000 employees or more –�� – – –

1133 Logging


11331 Logging


113310 Logging


115 Support activities for agriculture and forestry




Table 2. Establishments, Employees, and Payroll by Industry and Employment Size ofEstablishments for the District: 2004�Con.




Paidemployees



($1,000)

Annualpayroll

($1,000)


11 Forestry, fishing & hunting, and agricultural support services(NAICS 113�115)�Con.

115 Support activities for agriculture and forestry�Con.

1151 Support activities for crop production


11511 Support activities for crop production


115115 Farm labor contractors and crew leaders


1152 Support activities for animal production






21 Mining

All establishments 6�� b D DEstablishments with 1 to 4 employees 4�� a D DEstablishments with 5 to 9 employees 1�� a D DEstablishments with 10 to 19 employees 1�� a D DEstablishments with 20 to 49 employees –�� – – –Establishments with 50 to 99 employees –�� – – –Establishments with 100 to 249 employees –�� – – –Establishments with 250 to 499 employees –�� – – –Establishments with 500 to 999 employees –�� – – –Establishments with 1,000 employees or more –�� – – –







Paidemployees



($1,000)

Annualpayroll

($1,000)


21 Mining�Con.

211 Oil and gas extraction






211111 Crude petroleum and natural gas extraction


211112 Natural gas liquid extraction


212 Mining (except oil and gas)

All establishments 2�� a D DEstablishments with 1 to 4 employees –�� – – –Establishments with 5 to 9 employees 1�� a D DEstablishments with 10 to 19 employees 1�� a D DEstablishments with 20 to 49 employees –�� – – –Establishments with 50 to 99 employees –�� – – –Establishments with 100 to 249 employees –�� – – –Establishments with 250 to 499 employees –�� – – –Establishments with 500 to 999 employees –�� – – –Establishments with 1,000 employees or more –�� – – –

2122 Metal ore mining

All establishments 1�� a D DEstablishments with 1 to 4 employees –�� – – –Establishments with 5 to 9 employees –�� – – –Establishments with 10 to 19 employees 1�� a D DEstablishments with 20 to 49 employees –�� – – –Establishments with 50 to 99 employees –�� – – –Establishments with 100 to 249 employees –�� – – –Establishments with 250 to 499 employees –�� – – –Establishments with 500 to 999 employees –�� – – –Establishments with 1,000 employees or more –�� – – –







Paidemployees



($1,000)

Annualpayroll

($1,000)


21 Mining�Con.

212 Mining (except oil and gas)�Con.

2122 Metal ore mining�Con.

21229 Other metal ore miningAll establishments 1�� a D D

Establishments with 1 to 4 employees –�� – – –Establishments with 5 to 9 employees –�� – – –Establishments with 10 to 19 employees 1�� a D DEstablishments with 20 to 49 employees –�� – – –Establishments with 50 to 99 employees –�� – – –Establishments with 100 to 249 employees –�� – – –Establishments with 250 to 499 employees –�� – – –Establishments with 500 to 999 employees –�� – – –Establishments with 1,000 employees or more –�� – – –

212291 Uranium�radium�vanadium ore mining

All establishments 1�� a D DEstablishments with 1 to 4 employees –�� – – –Establishments with 5 to 9 employees –�� – – –Establishments with 10 to 19 employees 1�� a D DEstablishments with 20 to 49 employees –�� – – –Establishments with 50 to 99 employees –�� – – –Establishments with 100 to 249 employees –�� – – –Establishments with 250 to 499 employees –�� – – –Establishments with 500 to 999 employees –�� – – –Establishments with 1,000 employees or more –�� – – –

2123 Nonmetallic mineral mining and quarryingAll establishments 1�� a D D

Establishments with 1 to 4 employees –�� – – –Establishments with 5 to 9 employees 1��

Census.govThis report was prepared under the general direction of Franklin Winters, Assistant...

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Transcript of Census.govThis report was prepared under the general direction of Franklin Winters, Assistant...