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Community Action PartnershipCommunity Needs Assessment Online Tool

Report AreaJefferson County, KYData CategoryPopulation Profile | Employment | Education | Housing | Income | Nutrition | Health CarePopulation Profile

Data Indicators: Population Profile

Population ChangeAge and Gender DemographicsRace DemographicsVeterans, Age and Gender Demographics PovertyPoverty Rate Change

Households in PovertyPoverty Rate (ACS)Households in Poverty by Family TypeHousehold Poverty Rate by Family TypePoverty Rate Change (Age 0-17)Poverty Rate Change (Age 0-4)

Poverty Rate Change (Age 5-17)Child Poverty Rate (ACS) Ages 0-17Child Poverty Rate (ACS) Ages 0-4Child Poverty Rate (ACS) Ages 5-17Seniors in Poverty

Population ChangePopulation change within the report area from 2000-2013 is shown below. During the thirteen-year period, total population estimates for the report area grew by 7.64 percent, increasing from 693,604 persons in 2000 to 746,580 persons in 2013.

Report Area

Total Population, 2013 ACS

Total Population,

2000 Census

Population Change from 2000-2013

Census/ACS

Percent Change from 2000-2013

Census/ACS

Jefferson County,

746,580 693,604 52,976 Kentucky 4,361,333 4,041,769 319,564 7.91%

Percent Change in

Population

Report Area

Total Population, 2013 ACS

Total Population,

2000 Census

Population Change from 2000-2013

Census/ACS

Percent Change from 2000-2013

Census/ACS

KY

United States

311,536,591 281,421,906 30,114,685 10.7%

Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.

Data Source: US Census Bureau, Decennial Census. Source geography: County

Jefferson County, KY (7.64%)

Kentucky (7.91%)United States

(10.7%)

http://www.census.gov/

Population, Density (Persons per Sq Mile) by Tract, ACS 2009-13

Over 5,000 1,001 - 5,000 501 - 1,000 51 - 500 Under 51 No Data or Data Suppressed

Report Area

Household Poverty Rate by Family Type

The percentage of households in poverty by household type are shown for the report area. It is estimated that 12.5% of all households were living in poverty within the report area, compared to the national average of 11.3%. Of the households in poverty, female headed households represented 8.1% of all households in poverty, compared to 3.2 and 1.3% of households headed by males and married couples, respectively.

Report Area

Poverty RateAll Types

Poverty RateMarried Couples

Poverty RateMale Householder

Poverty RateFemale

Householder

Jefferson County, KY

12.5 3.2 1.3 Kentucky 14.4 5.4 1.6 7.4

United States

11.3 4.1 1.2 6


Data Source: US Census Bureau, American Community Survey. Source geography: County

Poverty Rate

Female Householder


Kentucky (7.4%)United States (6%)

http://www.census.gov/acs/www/

Single Parent Family Households Living Below the Poverty Level, Percent by Tract, ACS 2008-12

Over 37.0% 30.1 - 37.0% 23.1 - 30.0% Under 23.1% No 1 Parent Households Reported No Data or Data Suppressed

Report Area

Poverty Rate Change (Age 0-17)

The poverty rate change for all children in the report area from 2000 to 2012 is shown below. According to the U.S. Census, the poverty rate for the area increased by 10%, compared to a national increase of 6.4 percent.

Report Area

Children in Poverty

Age 0-172000

Poverty Rate

Age 0-17

2000

Children in Poverty

Age 0-172012

Poverty Rate

Age 0-17

2012

Poverty Rate

ChangeAge 0-17

2000-2012


25,697 16% 43,848 26% Kentucky 182,746 19.3% 263,744 26.5% 7.2%

United States

11,587,118 16.2% 16,396,863 22.6% 6.4%


Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County

Poverty Rate Change Age 0-

17

Jefferson County, KY (10%)

Kentucky (7.2%)United States (6.4%)

http://www.census.gov/did/www/saipe/

Population Below the Poverty Level, Children (Age 0-18), Percent by County, SAIPE 2012

Over 30.0% 25.1 - 30.0% 10.1 - 25.0% 15.1 - 20.0% Under 15.1%

Report Area


The poverty rate change for all children in the report area from 2000 to 2012 is shown below. According to the U.S. Census, the poverty rate for the area increased by 9.2%, compared to a national increase of 6.5 percent.

Report Area

Children in PovertyAge 0-4

2000

Poverty Rate

Age 0-42000


2012

Poverty Rate

Age 0-42012

Poverty Rate

ChangeAge 0-42000-2012


10,070 21.6% 15,170 30.9% Kentucky 64,230 24.2% 87,141 31.4% 7.2%

United States

4,050,543 20.3% 5,310,326 26.9% 6.5%



Poverty Rate Change Age 0-4





Over 30.0% 25.1 - 30.0% 10.1 - 25.0% 15.1 - 20.0% Under 15.1%

Report Area


The poverty rate change for all children in the report area from 2000 to 2012 is shown below. According to the U.S. Census, the poverty rate for the area increased by 10.3%, compared to a national increase of 6.4 percent.

Report Area


2000

Poverty Rate

Age 5-17

2000

Children in Poverty

Age 5-172012

Poverty Rate

Age 5-17

2012

Poverty Rate

ChangeAge5-17

2000-2012


15,627 13.7% 28,678 24% Kentucky 118,516 17.4% 176,603 24.6% 7.2%

United States

7,536,575 14.6% 11,086,537 21% 6.4%



Poverty Rate Change Age5-

17





Over 30.0% 25.1 - 30.0% 10.1 - 25.0% 15.1 - 20.0% Under 15.1%

Report Area

Child Poverty Rate (ACS) Ages 0-17

Population and poverty estimates for children age 0-17 are shown for the report area. According to the American Community Survey 5 year data, an average of 24.7 percent of children lived in a state of poverty during the survey calendar year. The poverty rate for children living in the report area is greater than the national average of 21.6 percent.

Report Area

Ages 0-17Total Population

Ages 0-17In Poverty

Ages 0-17Poverty Rate


168,211 41,620 Kentucky 1,000,101 260,542 26.1

United States

72,748,616 15,701,799 21.6



Ages 0-17 Poverty Rate



(21.6%)


Population Below the Poverty Level, Children (Age 0-17), Percent by Tract, ACS 2009-13

Over 30.0% 22.6 - 30.0% 15.1 - 22.5% Under 15.1% No Population Age 0-17 Reported No Data or Data Suppressed

Report Area



Report Area


Ages 0-4In Poverty



47,867 13,440 Kentucky 273,299 83,238 30.5

United States

19,743,544 4,881,767 24.7






(24.7%)




Report Area



Report Area


Ages 5-17In Poverty



120,344 28,180 Kentucky 726,802 177,304 24.4

United States

53,005,064 10,820,032 20.4






(20.4%)




Report Area

Seniors in Poverty

Poverty rates for seniors (persons age 65 and over) are shown below. According to American Community Survey estimates, there were 9058 seniors, or 9.2 percent, living in poverty within the report area.

Report Area

SeniorsTotal

Seniorsin Poverty

SeniorPoverty Rate


97,925 9,058 Kentucky 574,727 67,272 11.7

United States

40,544,640 3,793,577 9.4



Senior

Poverty Rate




Population Below the Poverty Level, Senior (Age 65 ), Percent by Tract, ACS 2009-13

Over 17.0% 12.1 - 17.0% 7.1 - 12.0% Under 7.1% No Population Age 65 Reported No Data or Data Suppressed

Report Area

Age and Gender Demographics

Population by gender within the report area is shown below. According to ACS 2009-2013 5 year population estimates for the report area, the female population comprised 52.03% of the report area, while the male population represented 47.97%.

Report Area0 to 4Male

0 to 4Female

5 to 17Male

5 to 17Female

18 to 64Male

18 to 64Female

Over 64Male

Over 64Female


25,008 23,854 62,944 60,228 230,931 241,956 37,186 60,228

Kentucky 143,001 135,865 381,141 360,623 1,363,834 1,378,994 235,919 339,865

United States 10,247,162 9,804,950 27,536,556 26,288,810 97,303,216 98,504,848 16,290,099 23,690,560

Note: Data breakout by demographic groups are not available.



Median Age by Tract, ACS 2009-13

Over 45.0 40.1 - 45.0 35.1 - 40.0 Under 35.1 No Data or Data Suppressed

Report Area

Race Demographics

Population by gender within the report area is shown below. According to ACS 2009-2013 5 year population estimates, the white population comprised 74.11% of the report area, black population represented 20.8%, and other races combined were 5.09%. Persons identifying themselves as mixed race made up 2.62% of the population.

Report AreaWhiteTotal

BlackTotal

AmericanIndianTotal

AsianTotal

NativeHawaiian

Total

MixedRaceTotal


548,625 153,967 1,152 16,949 216 19,364

Kentucky 3,835,013 341,576 8,811 51,411 2,019 80,523

United States 230,592,584 39,167,010 2,540,309 15,231,962 526,347 8,732,333



Population, Minority (Non-White), Percent by Tract, ACS 2009-13

Over 25.0% 10.1 - 25.0% 5.1 - 10.0% Under 5.1% No Minority Population Reported No Data or Data Suppressed

Report Area

Race Demographics - Male

Report AreaWhiteMale

BlackMale

AmericanIndianMale

AsianTotal

NativeHawaiian

Male

MixedRaceMale


267,239 71,516 667 8,188 86 9,210

Kentucky 1,883,034 168,890 4,633 23,940 844 39,567

United States 113,846,008 18,685,702 1,263,498 7,227,755 263,945 4,342,446

Race Demographics - Female

Report AreaWhite

FemaleBlack

Female

AmericanIndian

Female

AsianFemale

NativeHawaiinFemale

MixedRace

Female


281,386 82,451 485 8,761 130 10,154

Kentucky 1,951,979 172,686 4,178 27,471 1,175 40,956

United States 116,746,576 20,481,308 1,276,811 8,004,207 262,402 4,389,887

Veterans, Age and Gender Demographics

Veterans, Age and Gender Demographics show the number of veterans living in the report area. 9.54% of the adult population in the report area are veterans, which is more than the national average of 8.99%.

Report AreaVeterans

TotalVeterans

MaleVeteransFemale

% Pop over 18Total

% Pop over 18Males

% Pop over 18Females


54,711 50,632 4,079 9.54 18.65 1.35

Kentucky 312,365 291,616 20,749 9.4 18.15 1.21

Report AreaVeterans

TotalVeterans

MaleVeteransFemale

% Pop over 18Total

% Pop over 18Males

% Pop over 18Females

United States 21,263,780 19,709,452 1,554,327 8.99 17.21 1.27


Veterans, Percent of Total Population by Tract, ACS 2009-13

Over 13% 11.1 - 13.0% 9.1 - 11.0% Under 9.1% No Data or Data Suppressed

Report Area

Veterans by Age

Report AreaVeteran Age

Males18-34

Veteran AgeFemales

18-34

Veteran AgeMales35-54

Veteran AgeFemales

35-54

Veteran AgeMales55-64

Veteran AgeFemales

55-64

Veteran AgeMales

Over 65

Veteran AgeFemalesOver 65


3,181 525 13,377 2,115 12,113 802 21,961 637

Kentucky 20,414 4,313 74,579 9,880 72,921 3,755 123,702 2,801

United States 1,397,538 325,905 4,634,244 711,580 4,649,009 259,380 9,028,661 257,462


Poverty

2012 poverty estimates show a total of 134,160 persons living below the poverty level in the report area. Poverty information is at 100% of the federal poverty income guidelines

Report AreaAll Ages

No of PersonsAll Ages

Poverty RateAge 0-17

No of PersonsAge 0-17

Poverty RateAge 5-17

No of PersonsAge 5-17

Poverty Rate


134,160 43,848 26% 28,678 24%

Kentucky 821,067 19.3% 263,744 26.5% 176,603 24.6%

United States 48,760,123 15.9% 16,396,863 22.6% 11,086,537 21%



All Ages

Poverty Rate



(15.9%)




Report Area

Poverty Rate Change

Poverty rate change in the report area from 2000 to 2012 is shown below. According to the U.S. Census, the poverty rate for the area increased by 7.7%, compared to a national increase of 4.6%.

Report Area

Persons in Poverty

2000

Poverty Rate2000

Persons in Poverty

2012

Poverty Rate2012

Poverty Rate

Change2000-2012


72,254 10.5% 134,160 18.2% Kentucky 550,332 13.9% 821,067 19.3% 5.4%

United States

31,581,086 11.3% 48,760,123 15.9% 4.6%



Poverty Rate Change




Population Below the Poverty Level, Percent by County, SAIPE 2012

Over 22.0% 18.1 - 22.0% 15.1 - 18.0% 12.1 - 15.0% Under 12.1%

Report Area

Households in Poverty

The number and percentage of households in poverty are shown in the report area. In 2012, it is estimated that there were 47895 households, or 15.66%, living in poverty within the report area.

Report Area

Total HouseholdsHouseholdsin Poverty

Percent Householdsin Poverty


305,832 47,895 Kentucky 1,694,996 309,688 18.3

United States

115,610,216 16,415,984 14.2



Percent Households

in Poverty



(14.2%)


Households Living Below the Poverty Level, Percent by Tract, ACS 2008-12

Over 20.0% 15.1 - 20.0% 10.1 - 15.0% Under 10.1% No Data or Data Suppressed

Report Area

Poverty Rate (ACS)

The following report section shows population estimates for all persons in poverty for report area. According to the American Community Survey 5 year estimates, an average of 16.45 percent of all persons lived in a state of poverty during the 2008 - 2012 period. The poverty rate for all persons living in the report area is greater than the national average of 14.88 percent.

Report Area

Total PopulationPopulation in

PovertyPercent Population

in Poverty


726,848 119,569 Kentucky 4,209,861 781,485 18.56%

United States

301,333,408 44,852,528 14.88%

Note: This indicator is compared with the state average.

Data Source: US Census Bureau, American Community Survey. Source geography: Tract

Percent Population in Poverty



Population Below the Poverty Level, Percent by Tract, ACS 2008-12


Report Area

Population in Poverty, Percent by Time Period, 2005-09 through 2008-12

Report Area 2005-09 2006-10 2007-11 2008-12

Jefferson County, KY 14.57% 15.47% 15.75% 16.45%


Report Area 2005-09 2006-10 2007-11 2008-12

Kentucky 17.45% 17.7% 18.08% 18.56%

United States 13.47% 13.82% 14.3% 14.88%

Population in Poverty by Gender

Report Area Total Male Total Female Percent Male Percent Female

Jefferson County, KY 54,325 65,244 15.49% 17.35%

Kentucky 350,386 431,099 17.03% 20.03%

United States 20,059,080 24,793,446 13.61% 16.1%

Population in Poverty by Ethnicity Alone

Report Area Total Hispanic / Latino Total Not Hispanic / Latino Percent Hispanic / LatinoPercent Not Hispanic /

Latino

Jefferson County, KY 8,701 110,868 27.67% 15.94%

Kentucky 40,548 740,937 32.15% 18.14%

United States 11,920,585 32,931,944 24.08% 13.08%

Population in Poverty by Race Alone, Percent

Report Area WhiteBlack or African

American

Native American /

Alaska NativeAsian

Native Hawaiian /

Pacific Islander

Some Other Race

Multiple Race


11.43% 32.47% 23.35% 11.16% 22.6% 31.18% 32.09%

Kentucky 16.96% 32.86% 27.01% 12.95% 20.27% 34.1% 33.12%

United States 12.11% 26.49% 27.79% 12.1% 18.66% 26.1% 19.43%

Population in Poverty by Race Alone, Total

Report Area WhiteBlack or African

American

Native American /

Alaska NativeAsian

Native Hawaiian /

Pacific Islander

Some Other Race

Multiple Race


61,168 48,529 287 1,840 66 2,244 5,435

Kentucky 631,414 103,763 2,183 6,266 453 13,873 23,533

United States 27,134,944 9,836,000 678,999 1,763,994 93,123 3,784,645 1,560,822

Households in Poverty by Family Type

The number of households in poverty by type are shown in the report area. The U.S. Census Bureau estimates that there were 23585 households living in poverty within the report area.

Report Area Total HouseholdsHouseholds in

PovertyTotal


Married Couples


Male Householder

Households in PovertyFemale Householder


187,930 23,585 6,072 2,372 15,141

Kentucky 1,137,576 163,471 61,386 17,773 84,312

United States 76,744,360 8,666,630 3,148,540 923,063 4,595,027




Married Family Households Living Below the Poverty Level, Percent by Tract, ACS 2008-12

Over 9.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1% No Married Families Reported No Data or Data Suppressed

Report Area

Employment

Commuter Travel Patterns

This table shows the method of transportation workers used to travel to work for the report area. Of the 344183 workers in the report area, 82.2 drove to work alone while 8.5 carpooled. 3 of all workers reported that they used some form of public transportation, while others used some optional means including 2.3 walking or riding bicycles, and 1.1 used taxicabs to travel to work.

Report AreaWorkers

16 and Up

PercentDrive Alone

PercentCarpool

PercentPublic

Transportation

PercentBicycle or

Walk

PercentTaxi or Other

PercentWork at Home


344,183 8.5 3 2.3 1.1 3

Kentucky 1,832,657 82.5 10 1.1 2.4 0.9 3.1

United States 139,786,640 76.4 9.8 5 3.4 1.2 4.3



Percent

Drive Alone




Workers Traveling to Work by Car, Percent by Tract, ACS 2008-12


Report Area

Current Unemployment

Labor force, employment, and unemployment data for each county in the report area is provided in the table below. Overall, the report area experienced an average 4.7% percent unemployment rate in December 2014.

Report Area

Labor ForceNumber

EmployedNumber

UnemployedUnemployment

Rate


356,027 339,124 16,903 Kentucky 1,974,987 1,875,103 99,884 5.1%

United States

156,669,187 148,199,073 8,470,114 5.4%


Data Source: US Department of Labor, Bureau of Labor Statistics. Source geography: County

Unemployment Rate



http://www.bls.gov/

Unemployment, Rate by County, BLS 2014 - December

Over 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%

Report Area

Five Year Unemployment Rate

Unemployment change within the report area from December 2010 to December 2014 is shown in the chart below. According to the U.S. Department of Labor, unemployment for this five year period fell from 9.65% percent to 4.75% percent.

Report Area

December2010

December2011

December2012

December2013

December2014


9.65% 8.99% 8.02% 7.05% Kentucky 9.65% 8.42% 8.05% 7.4% 5.06%

United States

9.19% 8.32% 7.69% 6.53% 5.41%



December

2014



(5.41%)

http://www.bls.gov/


Over 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%

Report Area

Household Income

Median annual household incomes in the report area are shown below.

Report Area Median Household Income

Jefferson County, KY $45,913

Kentucky $41,717

United States $51,371




Median Household Income by County, SAIPE 2012

Over $70,000 $50,001 - $70,000 $40,001 - $50,000 Under $40,001

Report Area

Thirteen Month Unemployment Rates

Unemployment change within the report area from December 2013 to December 2014 is shown in the chart below. According to the U.S. Department of Labor, unemployment for this thirteen month period fell from 7.1 percent to 4.7 percent.

Report Area

Dec. 2013

Jan. 2014

Feb. 2014

March 2014

April 2014

May 2014

June 2014

July 2014

August 2014

Sept. 2014

Oct. 2014

Nov. 2014

Dec. 2014


7.1 7.7 8.3 8.1 6.9 7.4 7.2 7.3 6.4 5.8 5.2 5.7 4.7

Kentucky 7.4 8.3 9 8.4 7.2 7.5 7.4 7.5 6.5 6 5.3 5.8 5.1

United States

6.5 7.1 7.1 6.8 5.9 6.1 6.3 6.6 6.3 5.8 5.6 5.6 5.4



http://www.bls.gov/


Over 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%

Report Area

Travel Time to Work

Travel times for workers who travel (do not work at home) to work is shown for the report area. The median commute time for the report area of 21.17 minutes is shorter than the national median commute time of 24 minutes.

Report Area

Workers16 and Up

Travel Time

in Minutes(Percen

t of Worker

s)Less

than 10

Travel Time

in Minutes(Percen

t of Worker

s)10 to 30

Travel Time

in Minutes(Percen

t of Worker

s)30 to 60

Travel Time

in Minutes(Percen

t of Worker

s)More

than 60

Average Commut

eTime (mins)

Jefferson County,

344,183 10.46 64.44 21.79 3.31 Kentucky

1,832,657

15.67

55.77

23.21

5.35

22.08

Average Commute Time

(mins)

Jefferson County, KY (21.17)

Kentucky (22.08)United States

(24.42)

Report Area

Workers16 and Up

Travel Time

in Minutes(Percen

t of Worker

s)Less

than 10

Travel Time

in Minutes(Percen

t of Worker

s)10 to 30

Travel Time

in Minutes(Percen

t of Worker

s)30 to 60

Travel Time

in Minutes(Percen

t of Worker

s)More

than 60

Average Commut

eTime (mins)

KY

United States

139,786,640

13.48 50.76 27.64 8.12 24.42




Average Work Commute Time (Minutes), Average by Tract, ACS 2008-12

Over 28 Minutes 25 - 28 Minutes 21 - 24 Minutes Under 21 Minutes No Data or Data Suppressed

Report Area

Unemployment Change

Unemployment change within the report area during the 1-year period from December 2013 to December 2014 is shown in the chart below. According to the U.S. Department of Labor, unemployment for this one year period fell from 25,734 persons to 16,903 persons, a rate change of -2.31% percent.

Report Area

Unemployment

December 2013

Unemployment

December 2014

Unemployment Rate

December 2013

Unemployment Rate

December 2014

RateChange


25,734 16,903 7.05% 4.75% Kentucky

150,683

99,884

7.4%

5.06%

-2.35

%

United States

10,169,366 8,470,114 6.53% 5.41% -1.13%



Rate Change

Jefferson County, KY (-2.31%)

Kentucky (-2.35%)United States (-

1.13%)

http://www.bls.gov/


Over 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%

Report Area

Education

Adult Literacy

The National Center for Education Statistics (NCES) produces estimates for adult literacy based on educational attainment, poverty, and other factors in each county.

Report Area Estimated Population over 16 Percent Lacking Literacy Skills


546,566 Kentucky 3,202,516 12%

United States 219,016,209 14.64%


Data Source: National Center for Education Statistics, NCES - Estimates of Low Literacy. Source geography: County

Percent Lacking Literacy

Skills

Jefferson County, KY (8%)

Kentucky (12%)United States

(14.64%)

Educational Attainment

http://nces.ed.gov/naal/estimates/index.aspx

Educational Attainment shows the distribution of educational attainment levels in the report area. Educational attainment is calculated for persons over 25, and is an average for the period from 2009 to 2013.

Report Area

PercentNo High School

Diploma

PercentHigh School

Only

PercentSome

College

PercentAssociates

Degree

PercentBachelors

Degree

PercentGraduate orProfessional

Degree


28 22.6 7.2 18.1 12.3

Kentucky 17.01 33.9 20.5 7.1 12.8 8.8

United States 13.98 28.1 21.3 7.8 18.1 10.8



Percent Population with No High

School Diploma




Population with No High School Diploma (Age 18 ), Percent by Tract, ACS 2009-13


Report Area

Veterans - Educational Attainment

Veterans Educational Attainment contrasts the distribution of educational attainment levels between military veterans and non-veterans in the region. Educational attainment is calculated for persons over 25, and is an average for the period from 2009 to 2013.

Report Area

Veterans% No

Diploma

Veterans% High School

Diploma

Veterans% Some CollegeDiploma

Veterans%

Bachelorsor HigherDiploma

Non-Veterans

% No Diploma

Non-Veterans% High School

Diploma

Non-Veterans% Some CollegeDiploma

Non-Veterans

% Bachelorsor HigherDiploma


29.85 35.39 26.13 12.31 27.77 29.07 30.84

Kentucky 12.25 34.44 33.52 19.78 17.63 33.85 26.8 21.72

United States

7.73 29.53 36.42 26.32 14.74 28.01 28.15 29.11


Percent Veterans with No High

School Diploma




No High School Diploma, Veterans, Percent by Tract, ACS 2009-13

Over 14.0% 11.1 - 14.0% 8.1 - 11.0% Under 8.1% Of Veterans Age 25 , No Population with No High School Diploma No Data or Data Suppressed

Report Area

Housing

Homeowners


The U.S. Census Bureau estimated there were 186,387 homeowners in the report area in 2000, and 64.94% owner occupied homes in the report area for the 5 year estimated period from 2008 - 2012.

Report Area

Owner Occupied Homes2000





186,387 64.94% 192,102 Kentucky 1,125,397 70.75% 1,162,207 60.28%

United States

69,815,753 66.19% 75,484,661 57.34%



Owner Occupied Homes

2012



(57.34%)


Owner-Occupied Housing Units, Percent by Tract, ACS 2008-12


Report Area

Housing Age

Total housing units, median year built and median age in 2013 for the report area are shown below. Housing units used in housing age include only those where the year built is known.

Report Area Total Housing Units Median Year Built Median Age (from 2013)

Jefferson County, KY 337,943 1968 45

Kentucky 1,930,158 1978 35

United States 132,057,808 1976 37




Housing Constructed After 1999, Percent by Tract, ACS 2008-12


Report Area

Number of Unsafe, Unsanitary Homes

The number and percentage of occupied housing units without plumbing are shown for the report area. U.S. Census data shows 1,086 housing units in the report area were without plumbing in 2000 and ACS five year estimates show 1,115 housing units in the report area were without plumbing in 2012.

Report Area

OccupiedHousing

Units2000

Occupied

Housing Unitswithout Plumbi

ng2000

Percent

without Plumbi

ng2000

OccupiedHousing

Units2012

Occupied


ng2012

Percentwithout Plumbin

g2012


287,012 1,086 0.36% 337,349 1,115 Kentucky

1,590,647

14,947

0.85%

1,927,916

10,429

0.62%

Percent Without

Plumbing 2012


Kentucky (0.62%)

United States (0.5%)

Report Area

OccupiedHousing

Units2000

Occupied


ng2000

Percent

without Plumbi

ng2000

OccupiedHousing

Units2012

Occupied


ng2012

Percentwithout Plumbin

g2012

United States

105,480,101

670,986

0.6% 131,642,457

628,104

0.5%




Housing Units Lacking Complete Plumbing Facilities, Percent by Tract, ACS 2008-12

Over 500 251 - 500 101 - 250 Under 101 No Data or Data Suppressed

Report Area

Vacancy Rates

The U.S. Postal Service provided information quarterly to the U.S. Department of Housing and Urban Development on addresses identified as vacant in the previous quarter. Residential and business vacancy rates for the report area in the second quarter of 2014 are reported. For this reporting period, a total of 13,945 residential addresses were identified as vacant in the report area, a vacancy rate of 3.8%, and 3,748 business addresses were also reported as vacant, a rate of 10.5%.

Report AreaResidential Addresses

Vacant Residential Addresses

Residential Vacancy Rate

Business Addresses

Vacant Business

Addresses

Business Vacancy Rate


370,888 13,945 35,760 3,748 10.5%

Kentucky 2,034,159 115,753 5.7% 158,042 19,849 12.6%

United States 142,365,117 4,450,031 3.1% 13,422,801 1,320,000 9.8%


Data Source: US Department of Housing and Urban Development. Source geography: County

Residential Vacancy Rate



http://portal.hud.gov/hudportal/HUD

Residential Vacancies, Percent by Tract, HUD 2014-Q2

Over 10.0% 5.1 - 10.0% 2.1 - 5.0% Under 2.1% No Residential Vacancies No Residential Addresses or No Data

Report Area

Income

Household Income

Median annual household incomes in the report area are shown below.

Report Area Median Household Income

Jefferson County, KY $45,913

Kentucky $41,717

United States $51,371




Median Household Income by County, SAIPE 2012

Over $70,000 $50,001 - $70,000 $40,001 - $50,000 Under $40,001

Report Area

Income Levels

Two common measures of income are Median Household Income and Per Capita Income, based on U.S. Census Bureau estimates. Both measures are shown for the report area below. The average Per Capita income for the report area is $27925, compared to a national average of $28,155.

Report Area Median Household Income Per Capita Income

Jefferson County, KY $46,959 $27,925

Kentucky $43,036 $23,462

United States $53,046 $28,155




Per Capita Income by Tract, ACS 2009-13

Over 30,000 25,001 - 30,000 20,001 - 25,000 Under 20,001 No Data or Data Suppressed

Report Area

Nutrition

Free and Reduced Lunch Program

The following report shows that 59534 students (or 59.09 percent) were eligible for free or reduced price lunches during the 2011 - 2012 school year, which is more than the national average of 48.34 percent.

Report Area

Total StudentsNumber

Free/Reduced Price Lunch Eligible

Percent Free/Reduced Price

Lunch Eligible


100,752 59,534 Kentucky 685,167 373,837 55.37%

United States

49,936,793 25,615,437 51.7%

Note: This indicator is compared with the state average.

Data Source: National Center for Education Statistics, NCES - Common Core of Data. Source geography: Address

Percent Students Eligible for Free

or Reduced Price Lunch



Students Eligible for Free or Reduced-Price Lunch by Location, NCES CCD 2012-13

Over 80.0% 60.1 - 80.0% 40.1 - 60.0% 20.1 - 40.0% Under 20.1% Not Reported

Report Area

Children Eligible for Free Lunch (Alone) by Year, 2009-10 through 2012-13

Report Area 2009-10 2010-11 2011-12 2012-13

Jefferson County, KY 59.06% 63.21% 58.4% 59.13%

http://nces.ed.gov/

Report Area 2009-10 2010-11 2011-12 2012-13

Kentucky 54.86% 56.65% 54.41% 55.43%

United States 47.76% 49.24% 48.29% 51.77%

Households Receiving SNAP by Poverty Status (ACS)

The below table shows that 43511 households (or 14.23% percent) received SNAP payments during 2013. During this same period there were 22486 households with income levels below the poverty level that were not receiving SNAP payments. The national average is 7.7 percent.

Report Area

HouseholdsReceiving

SNAPTotal

HouseholdsReceiving

SNAPPercent

HouseholdsReceiving

SNAPIncome BelowPovery

HouseholdsReceiving

SNAPIncome AbovePovery

Households Not

Receiving SNAPTotal

Households Not

Receiving SNAP

Percent

Households Not

Receiving SNAP

Income BelowPovery

Households Not

Receiving SNAPIncome AbovePovery


43,511 14.23% 25,409 18,102 262,321 85.77% 22,486 239,835

Kentucky 283,972 16.75% 174,420 109,552 1,411,024 83.25% 135,268 1,275,756

United States 14,339,330 12.4% 7,498,398 6,840,932 101,270,886 87.6% 8,917,586 92,353,292




Households Receiving SNAP Benefits, Percent by Tract, ACS 2008-12


Report Area

Health Care

Federally Qualified Health Centers

Federally Qualified Health Centers in this selected area.

Report Area Provider Number FQHC Name Address City Phone


PN: 181801 PARK DUVALLE COMMUNITY HEALTH CENTER

1817 S 34TH STREET

LOUISVILLE (502) 774-4401


PN: 181810 FAMILY HEALTH CENTER PORTLAND

2215 PORTLAND AVENUE



PN: 181814 FAMILY HEALTH CENTER ST JOHNS

700 E MUHAMMAD ALI BOULEVARD



PN: 181815 FAMILY HEALTH CENTER IROQUOIS

4100 TAYLOR BOULEVARD


Jefferson County, PN: 181816 FAMILY HEALTH 709 FAIRDALE FAIRDALE (502) 361-2381

Report Area Provider Number FQHC Name Address City Phone

KY CENTER FAIRDALE ROAD


PN: 181817 FAMILY HEALTH CENTER SHELBY

1436 SOUTH SHELBY



PN: 181823 NEWBURG PRIMARY CARE CENTER

2237 HIKES LANE LOUISVILLE (502) 458-0778


PN: 181824 COMMUNITY HEALTH CTR OF W LOUISVILLE

2516 W MADISON LOUISVILLE (502) 774-6500


PN: 181838 FAMILY HEALTH CENTER-DIXIE

9702 STONESTREET ROAD



PN: 181862 FAMILY HEALTH CENTER-AMERICANA

4805 SOUTHSIDE DRIVE



Data Source: US Department of Health & Human Services, Center for Medicare & Medicaid Services, Provider of Services File. Source geography: County

http://www.healthdatastore.com/cms-provider-of-services-file.aspx

Federally Qualified Health Centers by Location, POS June 2014

Report Area

Medicare and Medicaid Providers

Total institutional Medicare and Medicaid providers, including hospitals, nursing facilities, Federally qualified health centers, rural health clinics and community mental health centers for the report area are shown. According to the U.S. Department of Health and Human Services, there were 154 active Medicare and Medicaid institutional service providers in the report area in the third quarter of 2013.

Report AreaTotal

InstitutionalProviders

HospitalsNursingFacilities

Federally Qualified

Health Centers

RuralHealthClinics

CommunityMental Health

Centers


154 11 46 10 0 1

Kentucky 1,094 122 283 89 168 9

United States 70,657 7,191 15,683 5,768 4,013 537




Access to Primary Care Providers (Including Nurses), Rate per 100,000 Population by Tract, CMS 2012

Over 150.0 50.1 - 150.0 25.1 - 50.0 0.1 - 25.0 No Providers No Population

Report Area

Persons Receiving Medicare

The total number of persons receiving Medicare is shown, broken down by number over 65 and number of disabled persons receiving Medicare for the report area. The U.S. Department of Health and Human Services reported that a total of 138,411 persons were receiving Medicare benefits in the report area in 2012. A large number of individuals in our society are aware that persons over 65 years of age receive Medicare; however, many of them are unaware that disabled persons also receive Medicare benefits. A total of 32,292 disabled persons in the report area received Medicare benefits in 2012.

Report AreaPersons over 65

Receiving MedicareDisabled Persons

Receiving MedicareTotal Persons

Receiving Medicare

Jefferson County, KY 106,119 32,292 138,411

United States 43,739,904 10,384,773 54,124,727




Access to Primary Care Providers (Including Nurses), Rate per 100,000 Population by Tract, CMS 2012

Over 150.0 50.1 - 150.0 25.1 - 50.0 0.1 - 25.0 No Providers No Population

Report Area

Uninsured Population

The uninsured population is calculated by estimating the number of persons eligible for insurance (generally those under 65) minus the estimated number of insured persons.

Report Area

Insurance Population

Number Insured

Number Uninsured

Percent Uninsured


634,303 535,806 98,498 Kentucky 3,654,691 3,060,859 593,832 16.2%

United States

264,246,236 219,286,188 44,960,048 17%


Data Source: US Census Bureau, Small Area Health Insurance Estimates. Source geography: County

Percent Uninsured


Kentucky (16.2%)United States (17%)

http://www.census.gov/did/www/sahie/

Uninsured Population, Percent by County, SAHIE 2012


Report Area

FOOTNOTES

Population Change

Data Background

The U.S. Census counts every resident in the United States. It is mandated by Article I, Section 2 of the Constitution and takes place every 10 years. The census collects information about the age, sex, race, and ethnicity of every person in the United States. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. For more information about this source, refer to the United States Census 2010 website.

Methodology

The data is downloaded in text format from the U.S. Census Bureau's FTP site for the years 2000 and 2010. The text documents are then uploaded into a SQL database. The demographics indicators are mapped using population provided for county area (Sum Level 050). Total populations are derived directly from data provided. The rate of population change is calculated using Total Population 2010 - Total Population 2000 = Population Change.

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions.

Household Poverty Rate by Family Type

http://www.census.gov/acs/www/Downloads/data_documentation/SubjectDefinitions/2013_ACSSubjectDefinitions.pdf


Data Background

The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds.

Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008).

For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website.

Methodology

Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100


Notes

Trends Over TimeThe American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas.


Data Background

The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for



http://www.census.gov/acs/www/guidance_for_data_users/guidance_main/

http://www.census.gov/acs/www/Downloads/handbooks/ACSGeneralHandbook.pdf

counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data.

For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website.

Methodology

Indicator data are acquired for 2012 from the US Census Bureau's Small Area Income and Poverty Estimates (SAIPE) series. Estimates are modelled by the US Census Bureau using both American Community Survey (ACS) data, as well as SNAP program data and IRS tax statistics. The SAIPE estimates consider a person to be in poverty when their household income is as at or below 100% of the federal poverty level. Poverty rates are calculated as a percentage of the total population based on the following formula: Percentage = [Poverty Population] / [Total Population] * 100

For more information about the data used in these estimates, please visit the Small Area Income and Poverty Estimates website or view the SAIPE Methodology web page.

Notes



Data Background

The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data.


Methodology


http://www.census.gov/did/www/saipe/methods





Notes



Data Background



Methodology








Notes



Data Background




Methodology



Notes

Trends Over TimeThe American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also





performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas.


Data Background




Methodology



Notes



Data Background








Methodology



Notes


Seniors in Poverty

Data Background

The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas.





Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds.



Methodology



Notes


Age and Gender Demographics

Data Background









Methodology



Notes


Race Demographics

Data Background




Methodology








Notes

Race and EthnicityRace and ethnicity (Hispanic origin) are collected as two separate categories in the American Community Survey (ACS) based on methods established by the U.S. Office of Management and Budget (OMB) in 1997. Indicator race and ethnicity statistics are generated from self-identified survey responses. Using the OMB standard, the available race categories in the ACS are: White, Black, American Indian/Alaskan Native, Asian, and Other. An ACS survey respondent may identify as one race alone, or may choose multiple races. Respondents selecting multiple categories are racially identified as “Two or More Races”. The minimum ethnicity categories are: Hispanic or Latino, and Not Hispanic or Latino. Respondents may only choose one ethnicity. All social and economic data are reported in the ACS public use files by race alone, ethnicity alone, and for the white non-Hispanic population.

Data LimitationsBeginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations have age and sex distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on demographic distribution. This is particularly true for areas with a substantial GQ population (like areas with military bases, colleges, or jails).

Veterans, Age and Gender Demographics

Data Background







Methodology

Counts for population subgroups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey (ACS). Data represent estimates for the 5 year period 2009-2013. Data are summarized to 2010 census tract boundaries. Veteran status is classified in the ACS according to yes/no responses to questions 26 and 27. ACS data define civilian veteran as a person 18 years old and over who served (even for a short time), but is not now serving on acting duty in the U.S. Army, Navy, Air Force, Marine Corps or Coast Guard, or who served as a Merchant Marine seaman during World War II. Individuals who have training for Reserves or National Guard but no active duty service are not considered veterans in the ACS. Indicator statistics are measured as a percentage of the population aged 18 years and older using the following formula: Percentage = [Veteran Population] / [Total Population Age 18 ] * 100


Notes


Poverty

Data Background



Methodology







Notes

Race and EthnicityStatistics by race and ethnicity are not provided for this indicator from the data source. Detailed race/ethnicity data may be available at a broader geographic level, or from a local source.

Poverty Rate Change

Data Background



Methodology



Notes








Data Background




Methodology



Notes






Poverty Rate (ACS)

Data Background




Methodology



Notes

Trends Over TimeThe American Community Survey multi-year estimates are based on data collected over 5 years. For any given consecutive release of ACS 5-year estimates, 4 of the 5 years overlap. The Census Bureau discourages direct comparisons between estimates for overlapping periods; use caution when interpreting this data.

Race and EthnicityRace and ethnicity (Hispanic origin) are collected as two separate categories in the American Community Survey (ACS) based on methods established by the U.S. Office of Management and Budget (OMB) in 1997. Indicator race and ethnicity statistics are generated from self-identified survey responses. Using the OMB standard, the available race categories in the ACS are: White, Black, American Indian/Alaskan Native, Asian, and Other. An ACS survey respondent may identify as one race alone, or may choose multiple races.





Respondents selecting multiple categories are racially identified as “Two or More Races”. The minimum ethnicity categories are: Hispanic or Latino, and Not Hispanic or Latino. Respondents may only choose one ethnicity. All social and economic data are reported in the ACS public use files by race alone, ethnicity alone, and for the white non-Hispanic population.

Data LimitationsBeginning in 2006, the population in group quarters (GQ) was included in the ACS. The part of the group quarters population in the poverty universe (for example, people living in group homes or those living in agriculture workers’ dormitories) is many times more likely to be in poverty than people living in households. Direct comparisons of the data would likely result in erroneous conclusions about changes in the poverty status of all people in the poverty universe.

Households in Poverty by Family Type

Data Background




Methodology



Notes






Commuter Travel Patterns

Data Background




Methodology

Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population using the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the specific data elements reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions.

Current Unemployment

Data Background

The Bureau of Labor Statistics (BLS) is the principal Federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy. Its mission is to collect, analyze, and disseminate essential economic information to support public and private decision-making. As an independent statistical agency, BLS serves its diverse user communities by providing products and services that are objective, timely, accurate, and relevant.





Methodology

Unemployment statistics are downloaded from the US Bureau of Labor Statistics (BLS) Local Area Unemployment Statistics (LAUS) database. The LAUS is dataset consists of modelled unemployment estimates. It is described by the BLS as follows:

The concepts and definitions underlying LAUS data come from the Current Population Survey (CPS), the household survey that is the official measure of the labor force for the nation. State monthly model estimates are controlled in "real time" to sum to national monthly labor force estimates from the CPS. These models combine current and historical data from the CPS, the Current Employment Statistics (CES) program, and State unemployment insurance (UI) systems. Estimates for seven large areas and their respective balances of State are also model-based. Estimates for the remainder of the sub-state labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data.

From the LAUS estimates, unemployment is recalculated as follows: Unemployment Rate = [Total Unemployed] / [Total Labor Force] * 100

For more information, please visit the Bureau of Labor Statistics Local Area Unemployment Statistics web page.

Five Year Unemployment Rate

Data Background


Methodology


The concepts and definitions underlying LAUS data come from the Current Population Survey (CPS), the household survey that is the official measure of the labor force for the nation. State monthly model estimates are controlled in "real time" to sum to national monthly labor force estimates from the CPS. These models combine current and historical data from the CPS, the Current Employment Statistics (CES) program, and State unemployment insurance (UI) systems. Estimates for seven large areas and their respective balances of State are also model-based. Estimates for the remainder of the sub-state labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of

http://www.bls.gov/lau/lauov.htm

employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data.



Household Income

Data Background



Methodology

Total income and Median Income data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2008-2012. Mapped data are summarized to 2010 census tract boundaries. Per capita income is the mean money income received in the past 12 months computed for every man, woman, and child in a geographic area. It is derived by dividing the total income of all people 15 years old and over in a geographic area by the total population in that area based on the following formula: Per Capita Income = [Total Income of Population Age 15 ] / [Total Population]


Notes

The data shown represents data aquired though the Census Bureau at the county and state level. Raw figures used to determine the median income were not provided, preventing the inclusion of median income from being calculated for report areas.

Thirteen Month Unemployment Rates





Data Background


Methodology





Travel Time to Work

Data Background





Methodology

Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population using the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the specific data elements reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions.

Unemployment Change

Data Background


Methodology









Adult Literacy

Data Background

In response to a demand for estimates of the percentage of adults with low literacy in individual states and counties, the National Center for Education Statistics (NCES) has produced estimates of the percentage of adults lacking Basic Prose Literacy Skills (BPLS) for all states and counties in the United States in 2003 and 1992.

Methodology

County indirect estimates were produced applying small area estimation techniques that use a statistical model to relate the estimated percentage of adults lacking Basic Prose Literacy Skills (BPLS) in a county with sample members to predictor variables available from external sources, such as levels of educational attainment obtained from the decennial censuses. On the basis of the observed relationship between the survey county estimates of the percentages lacking BPLS and predictor variables from the external sources, it is possible to estimate the percentage lacking BPLS for any county in the United States using that county's values on the predictor variables.

For more information on methodology used to develop literacy estimates, please see the complete State and County Estimates of Low Literacy.

Educational Attainment

Data Background






http://nces.ed.gov/naal/estimates/overview.aspx

http://nces.ed.gov/naal/estimates/overview.aspx


Methodology

Population counts for population by educational attainment and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population aged 25 based on the following formula: Percentage = [Subgroup Population] / [Total Population Age 25 ] * 100


Notes

Data LimitationsBeginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations may have educational attainment distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the educational attainment distribution. This is particularly true for areas with a substantial GQ population.

Veterans - Educational Attainment

Data Background




Methodology

Counts for population subgroups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey (ACS). Data represent estimates for the 5 year period 2009-2013. Data are summarized to 2010 census tract boundaries. Veteran status is classified in the ACS according to yes/no responses to questions 26 and 27. ACS data define civilian veteran as a





person 18 years old and over who served (even for a short time), but is not now serving on acting duty in the U.S. Army, Navy, Air Force, Marine Corps or Coast Guard, or who served as a Merchant Marine seaman during World War II. Individuals who have training for Reserves or National Guard but no active duty service are not considered veterans in the ACS. Indicator statistics are measured as a percentage of the population aged 18 years and older using the following formula: Percentage = [Veteran Population] / [Total Population Age 18 ] * 100


Notes


Homeowners

Data Background




Methodology

Population counts for household program participation and total household data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2008-2012. Mapped data are summarized to 2010 census tract boundaries. This indicator is a measure of population-level living conditions based on structure type. A structure is a separate building





that either has open spaces on all sides or is separated from other structures by dividing walls that extend from ground to roof. This data subdivides the inventory of housing units into one-family homes, apartments (of various size), and mobile homes. Area statistics are measured as a percentage of total occupied households based on the following formula: Percentage = [Population in Housing Type] / [Total Population] * 100


Notes


Housing Age

Data Background




Methodology

Counts of housing units by age and condition are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area estimates are developed at the U.S. Census Bureau, and given as a value for each geographic area. Raw counts are not provided, inhibiting the ability to produce median ages for report areas. &nbspFor more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions.





Number of Unsafe, Unsanitary Homes

Data Background




Methodology

Population counts for household program participation and total household data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2008-2012. Mapped data are summarized to 2010 census tract boundaries. This indicator is a measure of population-level living conditions based on structure type. A structure is a separate building that either has open spaces on all sides or is separated from other structures by dividing walls that extend from ground to roof. This data subdivides the inventory of housing units into one-family homes, apartments (of various size), and mobile homes. Area statistics are measured as a percentage of total occupied households based on the following formula: Percentage = [Population in Housing Type] / [Total Population] * 100


Notes


Vacancy Rates

Data Background





The US Department of Housing and Urban Development (HUD) is a department of the Federal Government enacted to secure affordable housing for all Americans. With numerous housing assistance programs available, HUD acts to support home ownership, access to affordable housing free from discrimination, and community development.

Methodology

The US Department of Housing and Urban Development (HUD) is a department of the Federal Government enacted to secure affordable housing for all Americans. With numerous housing assistance programs available, HUD acts to support home ownership, access to affordable housing free from discrimination, and community development.The United States Postal Service (USPS) supplies data to HUD on addresses that have been either identified as "vacant" or "No-Stat" for the previous reporting period, and HUD allows this data to be explored by researchers and practitioners for use in tracking neighborhood change.

Household Income

Data Background



Methodology

Total income and Median Income data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2008-2012. Mapped data are summarized to 2010 census tract boundaries. Per capita income is the mean money income received in the past 12 months computed for every man, woman, and child in a geographic area. It is derived by dividing the total income of all people 15 years old and over in a geographic area by the total population in that area based on the following formula: Per Capita Income = [Total Income of Population Age 15 ] / [Total Population]


Notes





Income Levels

Data Background




Methodology

Total income and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Per capita income is the mean money income received in the past 12 months computed for every man, woman, and child in a geographic area. It is derived by dividing the total income of all people 15 years old and over in a geographic area by the total population in that area based on the following formula: Per Capita Income = [Total Income of Population Age 15 ] / [Total Population]


Notes


Free and Reduced Lunch Program

Data Background





The National Center for Education Statistics (NCES) is the primary federal entity for collecting, analyzing, and reporting data related to education in the United States and other nations. It fulfils a congressional mandate to collect, collate, analyze, and report full and complete statistics on the condition of education in the United States; conduct and publish reports and specialized analyses of the meaning and significance of such statistics; assist state and local education agencies in improving their statistical systems; and review and report on education activities in foreign countries.Citation: Documentation to the NCES Common Core of Data Public Elementary/Secondary School Universe Survey (2013).

The National Center for Education Statistics releases a dataset containing detailed information about every public school in the United States in their annual Common Core of Data (CCD) files. The information from which this data is compiled is supplied by state education agency officials. The CCD reports information about both schools and school districts, including name, address, and phone number; descriptive information about students and staff demographics; and fiscal data, including revenues and current expenditures.

For more information, please visit the Common Core of Data web page.

Methodology

The National School Lunch Program is a federally assisted meal program operating in public and nonprofit private schools and residential child care institutions. Children from families with incomes at or below 130 percent of the poverty level are eligible for free meals. Those with incomes between 130 percent and 185 percent of the poverty level are eligible for reduced-price meals, for which students can be charged no more than 40 cents.

Total student counts and counts for students eligible for free and reduced price lunches are acquired for the school year 2012-2013 from the NCES Common Core of Data (CCD) Public School Universe Survey. Point locations for schools are obtained by mapping the latitude and longitude coordinates for each school provided in the CCD file. School-level data is summarized to the county, state, and national levels for reporting purposes. For more information, please see the complete dataset documentation.

Notes


Households Receiving SNAP by Poverty Status (ACS)

Data Background

The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed

http://nces.ed.gov/ccd/pdf/2015009.pdf

http://www.fns.usda.gov/nslp/national-school-lunch-program-nslp

http://nces.ed.gov/ccd/index.asp

http://nces.ed.gov/ccd/pdf/SC2011_1a_doc.pdf

population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds.



Methodology

Population counts for household program participation and total household data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. This indicator is a measure of household-level SNAP participation based on survey response about "receipts of food stamps or a food stamp benefit card in the past 12 months" by one or more household members. Area statistics are measured as a percentage of total occupied households based on the following formula: Percentage = [Participating Households] / [Total Households] * 100


Federally Qualified Health Centers

Data Background

Providers of Service (POS) data is compiled quarterly by Research and Planning Consultants, LP (RPC) for the Centers for Medicare and Medicaid Services (CMS). The Provider of Services (POS) Extract is created from the QIES (Quality Improvement Evaluation System) database. These data include provider number, name, and address and characterize the participating institutional providers. The data are collected through the Centers for Medicare & Medicaid Services (CMS) Regional Offices. The file contains an individual record for each Medicare-approved provider and is updated quarterly.

Methodology

Population figures are acquired for this indicator from the U.S. Census Bureau, 2010 Decennial Census, Summary File 1. Addresses for all active federally qualified health centers (FQHCs) were acquired from the Centers for Medicare and Medicaid Services (CMS) Providers of Service (POS) data file from June 2014. FQHC addresses were geocoded using the ESRI ArcGIS Online API to obtain the coordinates (point-location) of each facility. The resulting point location file was intersected with standard geographic areas (tracts, counties, and states) to generate a count of the total FQHCs in each area.

Medicare and Medicaid Providers





Data Background


Methodology

Population figures are acquired for this indicator from the U.S. Census Bureau, 2010 Decennial Census, Summary File 1. Addresses for all active federally qualified health centers (FQHCs) were acquired from the Centers for Medicare and Medicaid Services (CMS) Providers of Service (POS) data file from June 2014. FQHC addresses were geocoded using the ESRI ArcGIS Online API to obtain the coordinates (point-location) of each facility. The resulting point location file was intersected with standard geographic areas (tracts, counties, and states) to generate a count of the total FQHCs in each area.

Persons Receiving Medicare

Data Background


Methodology

Indicator percentages are acquired for 2012 from Centers for Medicare and Medicaid Services (CMS) Chronic Conditions Warehouse. The data used in the chronic condition reports are based upon CMS administrative enrollment and claims data for Medicare beneficiaries enrolled in the fee-for-service program. Beneficiaries who died during the year are included up to their date of death if they meet the other inclusion criteria. Chronic condition prevalence estimates are calculated by CMS by taking the beneficiaries with a particular condition divided by the total number of beneficiaries in our fee-for-service population, expressed as a percentage. For more information and to view the original data, please visit the CMS Chronic Conditions web page.

Uninsured Population

Data Background

The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. It is currently the only dataset providing complete health-insurance coverage estimates. The models

http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Chronic-Conditions/CC_Main.html

predict state and county level insurance estimates for total populations, as well as population groups defined by age, sex, race and income.

The SAHIE program models health insurance coverage by combining survey data with population estimates and administrative records. SAHIE estimates are a product of the US Census Bureau with funding from the Centers for Disease Control and Prevention.

The SAHIE health insurance models use data from the following sources:

American Community Survey Internal Revenue Service: Federal Tax Returns Supplemental Nutrition Assistance Program (SNAP): Participation Records County Business Patterns Medicaid and Children's Health Insurance Program (CHIP): Participation Records US Census 2010

Methodology

Counts of the number of persons without medical insurance are modelled for the Small Area Income and Health Insurance Estimates (SAHIE) datasets by the Census Bureau using both survey and census data. In this reporting platform, indicator percentages are summarized from the SAHIE estimates based on the following formula: Percentage = SUM [Uninsured Population] / SUM [Total Population] * 100

For more information about the data used in these estimates, please visit the Small Area Health Insurance Estimates website and view the provided Data Inputs page.

Report prepared by Community Commons, February 19, 2015.

http://www.communitycommons.org/

http://www.census.gov/did/www/sahie/methods/inputs/index.html

http://www.census.gov/did/www/sahie/

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