Community Action Partnership
Community Needs Assessment Online Tool for Carter County Tennessee
Report Area
Carter County, TN
Data Category
Population Profile | Employment | Education | Housing | Income | Nutrition | Health Care
Population Profile
Data Indicators: Population Profile
Population Change
Age and Gender Demographics
Race Demographics
Veterans, Age and Gender Demographics
Poverty
Poverty Rate Change
Households in Poverty
Poverty Rate (ACS)
Households in Poverty by Family Type
Household Poverty Rate by Family Type
Poverty Rate Change (Age 0-17)
Poverty Rate Change (Age 0-4)
Poverty Rate Change (Age 5-17)
Child Poverty Rate (ACS) Ages 0-17
Child Poverty Rate (ACS) Ages 0-4
Child Poverty Rate (ACS) Ages 5-17
Seniors in Poverty
Population Change
Population 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 1.23 percent, increasing from 56,742 persons in 2000 to 57,438 persons in 2013.
Report Area
Carter County, TN
Tennessee
Total Population, 2013 ACS
Total Population, 2000 Census
Population Change
from 2000-2013
Census/ACS
Percent Change from
2000-2013
Census/ACS
57,438
56,742
696
1.23%
6,402,387
5,689,283
713,104
12.53%
Percent Change in
Population
Report Area
United States
Total Population, 2013 ACS
311,536,591
Total Population, 2000 Census
281,421,906
Population Change
from 2000-2013
Census/ACS
Percent Change from
2000-2013
Census/ACS
30,114,685
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
10.7%
Carter County, TN
(1.23%)
Tennessee (12.53%)
United States (10.7%)
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 18.9% 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 8.6% of all households in poverty, compared to 8.2 and 2.1% of households headed by males and married couples, respectively.
Report Area
Poverty Rate
All Types
Poverty Rate
Married Couples
Poverty Rate
Male Householder
Poverty Rate
Female Householder
Carter County, TN
18.9
8.2
2.1
8.6
Tennessee
13.3
4.9
1.4
7.1
United States
11.3
4.1
1.2
6
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Poverty Rate
Female Householder
Carter County, TN
(8.6%)
Tennessee (7.1%)
United States (6%)
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 9.6%, compared to a national increase of 6.4 percent.
Poverty Rate Change Age
Report Area
Carter County, TN
Tennessee
United States
Children in
Poverty
Age 0-17
2000
Poverty Rate
Age 0-17
2000
Children in
Poverty
Age 0-17
2012
Poverty Rate
Age 0-17
2012
Poverty Rate
Change
Age 0-17
2000-2012
0-17
2,652
22.6%
3,597
32.2%
9.6%
245,446
17.8%
383,402
26.1%
8.3%
Carter County, TN
(9.6%)
11,587,118
16.2%
16,396,863
22.6%
6.4%
Tennessee (8.3%)
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
United States (6.4%)
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
Poverty Rate Change (Age 0-4)
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 6.5 percent.
Report Area
Carter County, TN
Tennessee
United States
Children in
Poverty
Age 0-4
2000
Poverty Rate
Age 0-4
2000
Children in
Poverty
Age 0-4
2012
Poverty Rate
Age 0-4
2012
Poverty Rate
Change
Age 0-4
2000-2012
Poverty Rate Change Age
0-4
899
28.6%
1,139
38.6%
10%
89,853
23.2%
122,778
30.3%
7.1%
Carter County, TN
(10%)
4,050,543
20.3%
5,310,326
26.9%
6.5%
Tennessee (7.1%)
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
United States (6.5%)
Population Below the Poverty Level, Children (Age 0-4), 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
Poverty Rate Change (Age 5-17)
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 9.5%, compared to a national increase of 6.4 percent.
Poverty Rate Change
Report Area
Carter County, TN
Tennessee
United States
Children in
Poverty
Age 5-17
2000
Poverty Rate
Age 5-17
2000
Children in
Poverty
Age 5-17
2012
Poverty Rate
Age 5-17
2012
Poverty Rate
Change
Age5-17
2000-2012
Age5-17
1,753
20.4%
2,458
29.9%
9.5%
155,593
15.7%
260,624
24.5%
8.8%
Carter County, TN
(9.5%)
7,536,575
14.6%
11,086,537
21%
6.4%
Tennessee (8.8%)
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
United States (6.4%)
Population Below the Poverty Level, Children (Age 5-17), 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
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 33.6 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.
Ages 0-17 Poverty Rate
Report Area
Carter County, TN
Tennessee
United States
Ages 0-17
Total Population
Ages 0-17
In Poverty
Ages 0-17
Poverty Rate
11,080
3,723
33.6
1,468,613
372,139
25.3
72,748,616
15,701,799
21.6
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Carter County, TN
(33.6%)
Tennessee (25.3%)
Data Source: US Census Bureau, American Community Survey. Source geography: County
United States (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
Child Poverty Rate (ACS) Ages 0-4
Population and poverty estimates for children age 0-4 are shown for the report area. According to the American Community Survey 5 year data,
an average of 46.8 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 24.7 percent.
Ages 0-4 Poverty Rate
Report Area
Carter County, TN
Tennessee
United States
Ages 0-4
Total Population
Ages 0-4
In Poverty
Ages 0-4
Poverty Rate
2,870
1,344
46.8
397,430
118,811
29.9
19,743,544
4,881,767
24.7
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Carter County, TN
(46.8%)
Tennessee (29.9%)
United States (24.7%)
Population Below the Poverty Level, Children (Age 0-4), Percent by Tract, ACS
2009-13
Over 37.0%
27.1 - 37.0%
17.1 - 27.0%
Under 17.1%
No Population Age 0-4 Reported
No Data or Data Suppressed
Report Area
Child Poverty Rate (ACS) Ages 5-17
Population and poverty estimates for children age 5-17 are shown for the report area. According to the American Community Survey 5 year data,
an average of 29 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 20.4 percent.
Ages 5-17 Poverty Rate
Report Area
Carter County, TN
Tennessee
United States
Ages 5-17
Total Population
Ages 5-17
In Poverty
Ages 5-17
Poverty Rate
8,210
2,379
29
1,071,183
253,328
23.6
53,005,064
10,820,032
20.4
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Carter County, TN
(29%)
Tennessee (23.6%)
Data Source: US Census Bureau, American Community Survey. Source geography: County
United States (20.4%)
Population Below the Poverty Level, Children (Age 5-17), Percent by Tract,
ACS 2009-13
Over 29.0%
21.1 - 29.0%
13.1 - 21.0%
Under 13.1%
No Population Age 5-17 Reported
No Data or Data Suppressed
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 1131
seniors, or 11.4 percent, living in poverty within the report area.
Report Area
Carter County, TN
Tennessee
United States
Seniors
Total
Seniors
in Poverty
Senior
Poverty Rate
Senior
Poverty Rate
9,879
1,131
11.4
859,973
87,662
10.2
40,544,640
3,793,577
9.4
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Carter County, TN
(11.4%)
Tennessee (10.2%)
United States (9.4%)
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 51.45% of the report area, while the male population represented 48.55%.
Report Area
Carter County, TN
Tennessee
United States
0 to 4
Male
0 to 4
Female
5 to 17
Male
5 to 17
Female
18 to 64
Male
18 to 64
Female
Over 64
Male
Over 64
Female
1,507
1,409
4,294
4,021
17,671
18,208
4,278
5,764
205,978
197,453
556,958
532,364
1,974,018
2,047,680
352,969
504,094
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.
Data Source: US Census Bureau, American Community Survey. Source geography: County
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 96.62% of the report area, black population represented 1.35%, and other races combined were 2.04%. Persons identifying
themselves as mixed race made up 1.57% of the population.
Report Area
Carter County, TN
Tennessee
United States
White
Total
American
Indian
Total
Black
Total
Native
Hawaiian
Total
Asian
Total
Mixed
Race
Total
55,209
771
140
128
0
895
5,007,014
1,073,534
16,604
95,801
3,110
113,243
230,592,584
39,167,010
2,540,309
15,231,962
526,347
8,732,333
Data Source: US Census Bureau, American Community Survey. Source geography: County
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 Area
White
Male
Carter County, TN
Native
Hawaiian
Male
Asian
Total
Mixed
Race
Male
26,793
463
61
33
0
503
2,452,564
506,830
8,790
44,405
1,448
55,452
113,846,008
18,685,702
1,263,498
7,227,755
263,945
4,342,446
Tennessee
United States
American
Indian
Male
Black
Male
Race Demographics - Female
Report Area
Carter County, TN
Tennessee
United States
White
Female
American
Indian
Female
Black
Female
Native
Hawaiin
Female
Asian
Female
Mixed
Race
Female
28,416
308
79
95
0
392
2,554,450
566,704
7,814
51,396
1,662
57,791
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. 11.14% of the adult population in the report area
are veterans, which is more than the national average of 8.99%.
Report Area
Carter County, TN
Tennessee
United States
Veterans
Total
Veterans
Male
Veterans
Female
% Pop over 18
Total
% Pop over 18
Males
% Pop over 18
Females
5,144
4,848
296
11.14
21.85
1.23
484,901
449,628
35,273
9.91
19.19
1.38
21,263,780
19,709,452
1,554,327
8.99
17.21
1.27
Data Source: US Census Bureau, American Community Survey. Source geography: County
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 Area
Carter County, TN
Tennessee
United States
Veteran Age
Males
18-34
Veteran Age
Females
18-34
Veteran Age
Males
35-54
Veteran Age
Females
35-54
Veteran Age
Males
55-64
Veteran Age
Females
55-64
Veteran Age
Males
Over 65
Veteran Age
Females
Over 65
261
22
877
249
1,342
19
2,368
6
30,639
7,281
112,273
17,274
114,426
6,157
192,290
4,561
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 12,789 persons living below the poverty level in the report area. Poverty information is at 100% of the
federal poverty income guidelines
Report Area
Carter County, TN
Tennessee
United States
All Ages
No of
Persons
All Ages
Age 0-17
Poverty Rate No of Persons
Age 0-17
Poverty Rate
Age 5-17
No of Persons
Age 5-17
Poverty Rate
12,789
23%
3,597
32.2%
2,458
29.9%
1,135,205
18%
383,402
26.1%
260,624
24.5%
48,760,123
15.9%
16,396,863
22.6%
11,086,537
21%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
All Ages
Poverty Rate
Carter County, TN
(23%)
Tennessee (18%)
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
United States (15.9%)
Population Below the Poverty Level, Children (Age 0-17), Percent by Tract,
ACS 2008-12
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
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 7.4%, compared to a national increase of 4.6%.
Poverty Rate Change
Report Area
Carter County, TN
Tennessee
United States
Persons in
Poverty
2000
Poverty Rate
2000
Persons in
Poverty
2012
Poverty Rate
2012
Poverty Rate
Change
2000-2012
8,652
15.6%
12,789
23%
7.4%
709,555
12.6%
1,135,205
18%
5.4%
31,581,086
11.3%
48,760,123
15.9%
4.6%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
Carter County, TN
(7.4%)
Tennessee (5.4%)
United States (4.6%)
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 5373 households, or
22.31%, living in poverty within the report area.
Report Area
Carter County, TN
Tennessee
United States
Total Households
Households
in Poverty
Percent Households
in Poverty
24,079
5,373
22.3
2,475,195
410,169
16.6
115,610,216
16,415,984
14.2
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Percent Households
in Poverty
Carter County, TN
(22.3%)
Tennessee (16.6%)
United States (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 22.77 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
Carter County, TN
Tennessee
United States
Total Population
Percent Population in
Poverty
Percent Population in
Poverty
Population in Poverty
55,814
12,708
22.77%
6,194,236
1,069,017
17.26%
301,333,408
44,852,528
14.88%
Carter County, TN
(22.77%)
Note: This indicator is compared with the state average.
Data Source: US Census Bureau, American Community Survey. Source geography: Tract
Tennessee (17.26%)
United States (14.88%)
Population 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
Population in Poverty, Percent by Time Period, 2005-09 through 2008-12
Report Area
2005-09
2006-10
2007-11
2008-12
Carter County, TN
21.38%
23.47%
22.01%
22.77%
Tennessee
16.12%
16.5%
16.88%
17.26%
United States
13.47%
13.82%
14.3%
14.88%
Population in Poverty by Gender
Report Area
Carter County, TN
Tennessee
United States
Total Male
Total Female
Percent Male
Percent Female
6,093
6,615
22.29%
23.23%
472,213
596,804
15.72%
18.71%
20,059,080
24,793,446
13.61%
16.1%
Population in Poverty by Ethnicity Alone
Report Area
Carter County, TN
Tennessee
United States
Total Hispanic / Latino
Total Not Hispanic / Latino
Percent Hispanic / Latino
Percent Not Hispanic /
Latino
227
12,481
25.25%
22.73%
92,098
976,919
32.65%
16.52%
11,920,585
32,931,944
24.08%
13.08%
Population in Poverty by Race Alone, Percent
Report Area
White
Black or
African
American
Native
American /
Alaska Native
Asian
Native
Hawaiian /
Pacific Islander
Some Other
Race
Multiple Race
Carter County, TN
22.52%
37.46%
18.81%
16.09%
no data
22.59%
29.78%
Tennessee
14.38%
28.74%
27.55%
12.91%
10.7%
35.85%
26.97%
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
Carter County, TN
Tennessee
United States
White
Black or
African
American
Native
American /
Alaska Native
Native
Hawaiian /
Pacific Islander
Asian
Some Other
Race
Multiple Race
12,143
215
19
14
0
54
263
701,354
291,682
4,256
11,695
286
30,934
28,810
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 3062 households
living in poverty within the report area.
Report Area
Carter County, TN
Tennessee
United States
Total Households
Households in Poverty Households in Poverty Households in Poverty Households in Poverty
Total
Married Couples
Male Householder
Female Householder
16,206
3,062
1,333
342
1,387
1,654,579
220,771
81,216
22,798
116,757
76,744,360
8,666,630
3,148,540
923,063
4,595,027
Note: Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
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 23097 workers in the report area, 82.9
drove to work alone while 8.6 carpooled. 0.6 of all workers reported that they used some form of public transportation, while others used some
optional means including 1.2 walking or riding bicycles, and 1.7 used taxicabs to travel to work.
Percent
Report Area
Carter County, TN
Tennessee
United States
Workers
16 and Up
Percent
Drive
Alone
Percent
Carpool
Percent
Percent
Public
Bicycle or
Transportation
Walk
Percent
Taxi or
Other
Percent
Work at
Home
Drive Alone
23,097
82.9
8.6
0.6
1.2
1.7
5
2,757,174
83.7
9.6
0.8
1.5
1
3.5
139,786,640
76.4
9.8
5
3.4
1.2
4.3
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Carter County, TN
(82.9%)
Tennessee (83.7%)
United States (76.4%)
Workers Traveling to Work by Car, Percent by Tract, ACS 2008-12
Over 95.0%
91.1 - 95.0%
87.1 - 91.0%
Under 87.1%
No Data or Data Suppressed
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 6.5% percent unemployment rate in December 2014.
Unemployment Rate
Report Area
Carter County, TN
Tennessee
United States
Labor Force
Number Employed
Number Unemployed Unemployment Rate
25,547
23,888
1,659
6.5%
2,985,332
2,792,923
192,409
6.4%
156,669,187
148,199,073
8,470,114
5.4%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Department of Labor, Bureau of Labor Statistics. Source geography: County
Carter County, TN
(6.5%)
Tennessee (6.4%)
United States (5.4%)
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 10.03% percent to 6.49% percent.
Report Area
Carter County, TN
December
2010
December
2011
December
2012
December
2013
December
2014
10.03%
8.2%
8.51%
7.7%
6.49%
Tennessee
9.42%
8.2%
7.93%
7.28%
6.45%
United States
9.19%
8.32%
7.69%
6.53%
5.41%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Department of Labor, Bureau of Labor Statistics. Source geography: County
December
2014
Carter County, TN
(6.49%)
Tennessee (6.45%)
United States (5.41%)
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
Household Income
Median annual household incomes in the report area are shown below.
Report Area
Median Household Income
Report Area
Median Household Income
Carter County, TN
$33,094
Tennessee
$42,743
United States
$51,371
Note: Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
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 7.7 percent to 6.5 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
Carter County, TN
7.7
7.3
7.7
7.4
6
6.4
7.4
8.1
8
6.7
6.1
6.2
6.5
Tennessee
7.3
7.2
7.3
7
5.8
6.3
7.4
7.7
7.4
6.6
6.3
6.4
6.4
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
Note: Data breakout by demographic groups are not available.
Data Source: US Department of Labor, Bureau of Labor Statistics. Source geography: County
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
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
21.67 minutes is shorter than the national median commute time of 24 minutes.
Travel Time
Travel Time
Travel Time
Travel Time
Average Commute Time
(mins)
Report Area
Carter County, TN
Tennessee
United States
Workers
16 and Up
in Minutes
(Percent of
Workers)
Less than 10
in Minutes
(Percent of
Workers)
10 to 30
in Minutes
(Percent of
Workers)
30 to 60
in Minutes
(Percent of
Workers)
More than 60
Average
Commute
Time (mins)
23,097
15.17
54.92
25.51
4.4
21.67
2,757,174
12.4
54.32
27.6
5.68
23.42
139,786,640
13.48
50.76
27.64
8.12
24.42
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Carter County, TN
(21.67)
Tennessee (23.42)
United States (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 2,044 persons to 1,659 persons, a rate change of 1.21% percent.
Rate Change
Report Area
Carter County, TN
Tennessee
United States
Unemployment
December 2013
Unemployment
December 2014
Unemployment
Rate
December 2013
Unemployment
Rate
December 2014
2,044
1,659
7.7%
6.49%
-1.21%
219,741
192,409
7.28%
6.45%
-0.83%
10,169,366
8,470,114
6.53%
5.41%
-1.13%
Rate
Change
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Department of Labor, Bureau of Labor Statistics. Source geography: County
Carter County, TN (1.21%)
Tennessee (-0.83%)
United States (-1.13%)
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
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
Carter County, TN
Tennessee
United States
Percent Lacking Literacy Skills
46,594
14%
4,439,666
13%
219,016,209
14.64%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: National Center for Education Statistics, NCES - Estimates of Low Literacy. Source geography: County
Percent Lacking Literacy
Skills
Carter County, TN
(14%)
Tennessee (13%)
United States (14.64%)
Educational Attainment
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
Percent
No High
School
Diploma
Percent
High School
Only
Percent
Some
College
Percent
Associates
Degree
Percent
Bachelors
Degree
Percent
Graduate or
Professional
Degree
Percent Population with
No High School Diploma
Report Area
Percent
No High
School
Diploma
Percent
High School
Only
Percent
Some
College
Percent
Associates
Degree
Percent
Bachelors
Degree
Percent
Graduate or
Professional
Degree
Carter County, TN
20.17
38.9
19.4
5.8
10.2
5.6
Tennessee
15.61
33.1
21.1
6.4
15.3
8.5
United States
13.98
28.1
21.3
7.8
18.1
10.8
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Carter County, TN
(20.17%)
Tennessee (15.61%)
United States (13.98%)
Population with No High School Diploma (Age 18 ), Percent by Tract, ACS
2009-13
Over 21.0%
16.1 - 21.0%
11.1 - 16.0%
Under 11.1%
No Data or Data Suppressed
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
Carter County, TN
Tennessee
United States
NonNonNonVeterans
Veterans Veterans
NonVeterans
Veterans
Veterans Veterans
%
% High
% Some
Veterans
%
% No
Bachelors
% High
% Some
School
College
% No
Bachelors
Diploma
or Higher
School
College
Diploma Diploma
Diploma
or Higher
Diploma
Diploma Diploma
Diploma
Percent Veterans with No
High School Diploma
14.3
32.75
33.32
19.64
21.03
39.74
23.97
15.26
Carter County, TN
(14.3%)
10.19
31.93
35.03
22.85
16.34
33.27
26.45
23.94
Tennessee (10.19%)
7.73
29.53
36.42
26.32
14.74
28.01
28.15
29.11
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
United States (7.73%)
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 17,595 homeowners in the report area in 2000, and 74.92% owner occupied homes in the report
area for the 5 year estimated period from 2008 - 2012.
Owner Occupied
Owner Occupied
Owner Occupied
Owner Occupied
Owner Occupied Homes
2012
Report Area
Carter County, TN
Tennessee
United States
Homes
2000
Homes
2000
Homes
2012
Homes
2012
17,595
74.92%
17,585
63.41%
1,561,363
69.93%
1,687,700
60.02%
69,815,753
66.19%
75,484,661
57.34%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Carter County, TN
(63.41%)
Tennessee (60.02%)
United States (57.34%)
Owner-Occupied Housing Units, Percent by Tract, ACS 2008-12
Over 82.0%
74.1 - 82.0%
66.1 - 74.0%
Under 66.1%
No Data or Data Suppressed
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
Carter County, TN
Tennessee
United States
Total Housing Units
Median Year Built
Median Age (from 2013)
27,716
1976
37
2,821,797
1981
32
132,057,808
1976
37
Note: Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Housing Constructed After 1999, Percent by Tract, ACS 2008-12
Over 16.0%
12.1 - 16.0%
8.1 - 12.0%
Under 8.1%
No Data or Data Suppressed
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 199 housing units
in the report area were without plumbing in 2000 and ACS five year estimates show 214 housing units in the report area were without plumbing in
2012.
Report Area
Carter County, TN
Tennessee
United States
Occupied
Occupied
Housing Units
Housing Units
without
2000
Plumbing
2000
Percent
without
Plumbing
2000
Occupied
Occupied
Housing Units
Housing Units
without
2012
Plumbing
2012
Percent
without
Plumbing
2012
23,486
199
0.77%
27,734
214
0.89%
2,232,905
14,340
0.59%
2,811,854
13,504
0.55%
105,480,101
670,986
0.6%
131,642,457
628,104
0.5%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Percent Without
Plumbing 2012
Carter County, TN
(0.89%)
Tennessee (0.55%)
United States (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 2,009 residential addresses were identified as vacant in the report area, a vacancy rate of 6.7%, and 274
business addresses were also reported as vacant, a rate of 14.3%.
Residential Vacancy Rate
Report Area
Carter County, TN
Tennessee
United States
Residential
Addresses
Vacant
Residential
Addresses
Residential
Vacancy Rate
Business
Addresses
Vacant
Business
Addresses
Business
Vacancy Rate
29,966
2,009
6.7%
1,913
274
14.3%
3,130,341
160,656
5.1%
289,994
34,775
12%
142,365,117
4,450,031
3.1%
13,422,801
1,320,000
9.8%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Department of Housing and Urban Development. Source geography: County
Carter County, TN
(6.7%)
Tennessee (5.1%)
United States (3.1%)
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
Carter County, TN
$33,094
Tennessee
$42,743
United States
$51,371
Note: Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
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 $19018, compared to a national average of
$28,155.
Report Area
Median Household Income
Per Capita Income
Carter County, TN
$31,842
$19,018
Tennessee
$44,298
$24,409
United States
$53,046
$28,155
Note: Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
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 5388 students (or 65.6 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
Carter County, TN
Tennessee
United States
Number Free/Reduced
Price Lunch Eligible
Total Students
Percent Free/Reduced
Price Lunch Eligible
8,214
5,388
65.7%
992,593
575,522
58.59%
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
Carter County, TN
(65.7%)
Tennessee (58.59%)
United States (51.7%)
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
Carter County, TN
63.17%
62.87%
64.44%
65.7%
Tennessee
54.44%
56.53%
57.5%
58.59%
United States
47.76%
49.24%
48.29%
51.77%
Households Receiving SNAP by Poverty Status (ACS)
The below table shows that 5014 households (or 20.82% percent) received SNAP payments during 2013. During this same period there were
2387 households with income levels below the poverty level that were not receiving SNAP payments. The national average is 7.7 percent.
Report Area
Carter County, TN
Tennessee
United States
Households
Receiving
SNAP
Total
Households
Receiving
SNAP
Percent
Households
Receiving
SNAP
Income
Below
Povery
Households
Receiving
SNAP
Income
Above
Povery
Households
Not
Receiving
SNAP
Total
Households
Not
Receiving
SNAP
Percent
Households
Not
Receiving
SNAP
Income Below
Povery
Households
Not
Receiving
SNAP
Income
Above
Povery
5,014
20.82%
2,986
2,028
19,065
79.18%
2,387
16,678
418,352
16.9%
227,406
190,946
2,056,843
83.1%
182,763
1,874,080
14,339,330
12.4%
7,498,398
6,840,932
101,270,886
87.6%
8,917,586
92,353,292
Note: Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Households Receiving SNAP Benefits, Percent by Tract, ACS 2008-12
Over 20.0%
8.1 - 20.0%
4.1 - 8.0%
Under 4.1%
No Data or Data Suppressed
Report Area
Health Care
Federally Qualified Health Centers
Federally Qualified Health Centers in this selected area.
Report Area
Carter County, TN
Provider Number
PN: 441815
FQHC Name
ROAN MOUNTAIN
Address
RT 2 BOX 47A HWY
City
ROAN MOUNTAIN
Phone
(615) 772-4336
Report Area
Provider Number
FQHC Name
Address
MEDICAL CLINIC
City
Phone
19E
Note: Data breakout by demographic groups are not available.
Data Source: US Department of Health & Human Services, Center for Medicare & Medicaid Services, Provider of Services File. Source geography: County
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
12 active Medicare and Medicaid institutional service providers in the report area in the third quarter of 2013.
Report Area
Carter County, TN
Tennessee
United States
Total
Institutional
Providers
Federally
Qualified
Health Centers
Nursing
Facilities
Hospitals
Rural
Health
Clinics
Community
Mental Health
Centers
12
1
6
1
0
0
1,470
160
322
138
70
15
70,657
7,191
15,683
5,768
4,013
537
Note: Data breakout by demographic groups are not available.
Data Source: US Department of Health & Human Services, Center for Medicare & Medicaid Services, Provider of Services File. Source geography: County
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 14,369 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 4,341 disabled persons in the report area received
Medicare benefits in 2012.
Report Area
Carter County, TN
United States
Persons over 65
Receiving Medicare
Disabled Persons
Receiving Medicare
Total Persons
Receiving Medicare
10,028
4,341
14,369
43,739,904
10,384,773
54,124,727
Note: Data breakout by demographic groups are not available.
Data Source: US Department of Health & Human Services, Center for Medicare & Medicaid Services, Provider of Services File. Source geography: County
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.
Percent Uninsured
Report Area
Carter County, TN
Insurance Population
45,686
Number Insured
37,786
Number Uninsured
7,900
Percent Uninsured
17.3%
Report Area
Tennessee
United States
Insurance Population
Number Insured
Number Uninsured
Percent Uninsured
5,400,124
4,524,763
875,361
16.2%
264,246,236
219,286,188
44,960,048
17%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Small Area Health Insurance Estimates. Source geography: County
Carter County, TN
(17.3%)
Tennessee (16.2%)
United States (17%)
Uninsured Population, Percent by County, SAHIE 2012
Over 25.0%
20.1 - 25.0%
15.1 - 20.0%
Under 15.1%
No Data or Data Suppressed
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
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
Poverty Rate Change (Age 0-17)
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.
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
Trends Over Time
The 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.
Poverty Rate Change (Age 0-4)
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.
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
Trends Over Time
The 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.
Poverty Rate Change (Age 5-17)
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.
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
Trends Over Time
The 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.
Child Poverty Rate (ACS) Ages 0-17
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
Child Poverty Rate (ACS) Ages 0-4
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
Child Poverty Rate (ACS) Ages 5-17
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
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.
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
Age and Gender Demographics
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
Race Demographics
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Race and Ethnicity
Race 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 Limitations
Beginning 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
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
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Data Limitations
Beginning 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).
Poverty
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.
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
Race and Ethnicity
Statistics 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
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.
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
Trends Over Time
The 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.
Households 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.
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
Poverty Rate (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 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 2008-2012. 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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2011 Subject
Definitions.
Notes
Trends Over Time
The 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 Ethnicity
Race 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 Limitations
Beginning 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
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Trends Over Time
The 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.
Commuter Travel Patterns
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. 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 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
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.
Household Income
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.
For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website.
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]
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2012 Subject
Definitions.
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
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
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.
Travel Time to Work
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. 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
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.
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
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 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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Data Limitations
Beginning 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
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
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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject
Definitions.
Notes
Data Limitations
Beginning 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).
Homeowners
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 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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2012 Subject
Definitions.
Notes
Race and Ethnicity
Statistics 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.
Housing Age
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
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.
For 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
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 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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2012 Subject Definitions.
Notes
Race and Ethnicity
Statistics 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.
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
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 multiyear survey data.
For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website.
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 20082012. 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]
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2012 Subject Definitions.
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.
Income Levels
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
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]
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions.
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.
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
Race and Ethnicity
Statistics 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.
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 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 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
For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions.
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
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.
Persons Receiving Medicare
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
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 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, March 04, 2015.