Community Action Partnership
Community Needs Assessment Online Tool
Report Area
Hinds County, MS
Data Category
Population Profile | Employment | Education | Housing | Income | Nutrition | Health Care
Population Profile
Data Indicators: Population Profile

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



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 declined by -1.79 percent, decreasing from 250,800 persons in 2000 to 246,300 persons in 2013.
Percent Change in
Population
Report Area
Hinds County, MS
Mississippi
United States
Total Population,
2013 ACS
Total Population,
2000 Census
Population Change
from 2000-2013
Census/ACS
Percent Change
from 2000-2013
Census/ACS
246,300
250,800
-4,500
-1.79%
2,976,872
2,844,658
132,214
4.65%
311,536,591
281,421,906
30,114,685
10.7%
Note: This indicator is compared with the state average. Data breakout by demographic groups are not available.
Data Source: US Census Bureau, Decennial Census. Source geography: County
Hinds County, MS
(-1.79%)
Mississippi
(4.65%)
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 20.2% 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 14.7% of all households in poverty, compared to 3.3 and 2.2% of households headed by
males and married couples, respectively.
Poverty Rate
Female Householder
Report Area
Poverty Rate
All Types
Poverty Rate
Married Couples
Poverty Rate
Male Householder
Poverty Rate
Female
Householder
Hinds County, MS
20.2
3.3
2.2
14.7
Mississippi
17.8
4.9
1.7
11.2
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
Hinds County, MS
(14.7%)
Mississippi
(11.2%)
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 13%, compared to a national increase of 6.4 percent.
Poverty Rate Change Age 017
Report Area
Hinds County,
MS
Mississippi
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
17,247
25.7%
24,224
38.7%
13%
187,514
24.9%
249,060
33.9%
9%
11,587,118
16.2%
16,396,863
22.6%
6.4%
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
Hinds County, MS
(13%)
Mississippi (9%)
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 9.8%, compared to a national increase of 6.5 percent.
Poverty Rate Change Age 0-4
Report Area
Hinds County,
MS
Mississippi
United States
Children in
Poverty
Age 0-4
2000
5,950
Poverty Rate
Age 0-4
2000
31.3%
Children in
Poverty
Age 0-4
2012
7,124
Poverty Rate
Age 0-4
2012
Poverty Rate
Change
Age 0-4
2000-2012
41%
9.8%
61,943
29.6%
77,877
38.7%
9.1%
4,050,543
20.3%
5,310,326
26.9%
6.5%
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
Hinds County, MS
(9.8%)
Mississippi (9.1%)
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 14.3%, compared to a national increase of 6.4 percent.
Poverty Rate Change Age517
Report Area
Hinds County,
MS
Mississippi
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
11,297
23.5%
17,100
37.8%
14.3%
125,571
23.1%
171,183
32.1%
9%
7,536,575
14.6%
11,086,537
21%
6.4%
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
Hinds County, MS
(14.3%)
Mississippi (9%)
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 36.1 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
Hinds County, MS
Mississippi
United States
Ages 0-17
Total Population
Ages 0-17
In Poverty
Ages 0-17
Poverty Rate
62,629
22,630
36.1
736,502
238,337
32.4
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.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Hinds County, MS
(36.1%)
Mississippi
(32.4%)
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 37.9 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
Hinds County, MS
Mississippi
United States
Ages 0-4
Total Population
Ages 0-4
In Poverty
Ages 0-4
Poverty Rate
17,069
6,464
37.9
202,478
73,813
36.5
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
Hinds County, MS
(37.9%)
Mississippi
(36.5%)
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 35.5 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
Hinds County, MS
Mississippi
United States
Ages 5-17
Total Population
Ages 5-17
In Poverty
Ages 5-17
Poverty Rate
45,560
16,166
35.5
534,024
164,524
30.8
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.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Hinds County, MS
(35.5%)
Mississippi
(30.8%)
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 3427 seniors, or 13.1 percent, living in poverty within the report area.
Senior
Poverty Rate
Report Area
Hinds County, MS
Mississippi
United States
Seniors
Total
Seniors
in Poverty
Senior
Poverty Rate
26,204
3,427
13.1
379,201
53,182
14
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
Hinds County, MS
(13.1%)
Mississippi (14%)
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 53.35% of the report area, while the male population represented 46.65%.
Report Area
Hinds County,
MS
Mississippi
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
8,907
8,712
23,628
23,054
72,092
82,560
9,732
16,442
105,199
100,386
276,600
266,311
896,910
938,633
152,919
226,186
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 28.28% of the report area, black population represented 70.16%, and other races combined were 1.56%.
Persons identifying themselves as mixed race made up 0.68% of the population.
Report Area
Hinds County, MS
Mississippi
United States
White
Total
Black
Total
American
Indian
Total
Native
Hawaiian
Total
Asian
Total
Mixed
Race
Total
69,163
171,602
242
1,880
44
1,654
1,769,766
1,106,982
13,030
27,646
274
34,508
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
Hinds County, MS
Mississippi
United States
White
Male
Black
Male
American
Indian
Male
Native
Hawaiian
Male
Asian
Total
Mixed
Race
Male
33,317
79,222
120
986
8
785
872,604
520,932
6,369
13,094
177
16,528
113,846,008
18,685,702
1,263,498
7,227,755
263,945
4,342,446
Race Demographics - Female
Report Area
Hinds County, MS
Mississippi
United States
White
Female
Black
Female
American
Indian
Female
Native
Hawaiin
Female
Asian
Female
Mixed
Race
Female
35,846
92,380
122
894
36
869
897,162
586,050
6,661
14,552
97
17,980
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. 7.7% of the adult population in
the report area are veterans, which is less than the national average of 8.99%.
Veterans
Total
Report Area
Hinds County, MS
Veterans
Female
% Pop over 18
Total
% Pop over 18
Males
% Pop over 18
Females
14,001
12,418
1,583
7.7
14.98
1.6
200,748
185,213
15,535
9.06
17.58
1.34
21,263,780
19,709,452
1,554,327
8.99
17.21
1.27
Mississippi
United States
Veterans
Male
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
Hinds County,
MS
Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age
Males
Females
Males
Females
Males
Females
Males
Females
18-34
18-34
35-54
35-54
55-64
55-64
Over 65
Over 65
669
477
3,327
752
3,328
211
5,094
143
Report Area
Mississippi
United States
Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age
Males
Females
Males
Females
Males
Females
Males
Females
18-34
18-34
35-54
35-54
55-64
55-64
Over 65
Over 65
14,654
4,093
46,321
6,680
45,508
2,721
78,730
2,041
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 67,539 persons living below the poverty level in the report area. Poverty information is at
100% of the federal poverty income guidelines
All Ages
Poverty Rate
Report Area
Hinds County,
MS
Mississippi
United States
All Ages
No of
Persons
All Ages
Poverty Rate
Age 0-17
No of
Persons
Age 0-17
Poverty Rate
Age 5-17
No of
Persons
Age 5-17
Poverty Rate
67,539
28%
24,224
38.7%
17,100
37.8%
689,116
23.8%
249,060
33.9%
171,183
32.1%
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.
Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County
Hinds County, MS
(28%)
Mississippi
(23.8%)
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 10%, compared to a national increase of 4.6%.
Poverty Rate Change
Report Area
Hinds County,
MS
Mississippi
United States
Persons in
Poverty
2000
Poverty Rate
2000
Persons in
Poverty
2012
Poverty Rate
2012
Poverty Rate
Change
2000-2012
43,619
18%
67,539
28%
10%
489,775
17.6%
689,116
23.8%
6.2%
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
Hinds County, MS
(10%)
Mississippi (6.2%)
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 20143
households, or 22.93%, living in poverty within the report area.
Percent Households
in Poverty
Report Area
Hinds County, MS
Mississippi
United States
Total Households
Households
in Poverty
Percent Households
in Poverty
87,844
20,143
22.9
1,088,073
231,289
21.3
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
Hinds County, MS
(22.9%)
Mississippi
(21.3%)
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 24.17 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.
Percent Population in Poverty
Report Area
Hinds County, MS
Mississippi
United States
Total Population
Population in Poverty
Percent Population in
Poverty
237,925
57,513
24.17%
2,872,106
640,132
22.29%
301,333,408
44,852,528
14.88%
Note: This indicator is compared with the state average.
Data Source: US Census Bureau, American Community Survey. Source geography: Tract
Hinds County, MS
(24.17%)
Mississippi (22.29%)
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
Hinds County, MS
22.52%
22.5%
23.16%
24.17%
Mississippi
21.41%
21.24%
21.6%
22.29%
United States
13.47%
13.82%
14.3%
14.88%
Population in Poverty by Gender
Report Area
Hinds County, MS
Mississippi
United States
Total Male
Total Female
Percent Male
Percent Female
25,031
32,482
22.4%
25.74%
275,186
364,946
19.96%
24.44%
20,059,080
24,793,446
13.61%
16.1%
Population in Poverty by Ethnicity Alone
Report Area
Hinds County, MS
Mississippi
United States
Total Hispanic / Latino
Total Not Hispanic /
Latino
Percent Hispanic /
Latino
Percent Not Hispanic /
Latino
1,313
56,200
37.63%
23.97%
22,065
618,067
30.17%
22.08%
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
Hinds County, MS
10.44%
29.69%
29%
24.94%
0%
46.58%
17.22%
Mississippi
13.62%
36.13%
28.37%
16.95%
34.5%
33.68%
25.38%
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
Hinds County, MS
Mississippi
United States
White
Black or
African
American
Native
American /
Alaska Native
Native
Hawaiian /
Pacific
Islander
Asian
Some Other
Race
Multiple Race
7,121
48,814
78
426
0
797
277
234,425
382,086
3,690
4,327
108
7,312
8,184
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
11576 households living in poverty within the report area.
Report Area
Hinds County, MS
Mississippi
United States
Total Households
Households in
Poverty
Total
Households in
Poverty
Married Couples
Households in
Poverty
Male Householder
Households in
Poverty
Female Householder
57,415
11,576
1,866
1,269
8,441
749,283
133,214
36,371
12,549
84,294
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 102499 workers in the
report area, 84.5 drove to work alone while 9.7 carpooled. 0.6 of all workers reported that they used some form of public
transportation, while others used some optional means including 1.3 walking or riding bicycles, and 1.1 used taxicabs to travel to
work.
Percent
Drive Alone
Report Area
Hinds County,
MS
Workers
16 and Up
Percent
Drive
Alone
Percent
Carpool
Percent
Percent
Public
Bicycle or
Transportation
Walk
Percent
Taxi or
Other
Percent
Work at
Home
102,499
84.5
9.7
0.6
1.3
1.1
2.9
1,179,917
83.6
10.7
0.5
1.7
1.2
2.3
United States 139,786,640
76.4
9.8
5
3.4
1.2
4.3
Mississippi
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
Hinds County, MS
(84.5%)
Mississippi (83.6%)
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 6.1% percent unemployment rate in December 2014.
Unemployment Rate
Report Area
Hinds County, MS
Mississippi
United States
Labor Force
Number Employed
Number
Unemployed
Unemployment
Rate
111,773
104,901
6,872
6.1%
1,247,125
1,158,990
88,135
7.1%
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
Hinds County, MS
(6.1%)
Mississippi (7.1%)
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 9.4% percent to 6.15% percent.
December
2014
Report Area
Hinds County,
MS
Mississippi
United States
December
2010
December
2011
December
2012
December
2013
December
2014
9.4%
8.58%
8.37%
6.67%
6.15%
10.45%
9.5%
9.03%
7.27%
7.07%
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
Hinds County, MS
(6.15%)
Mississippi
(7.07%)
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
Hinds County, MS
$34,826
Mississippi
$38,191
United States
$52,250
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 2013
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 6.7 percent to 6.1 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
Hinds
County,
MS
6.7
7.1
7.1
7.2
6.1
7.4
8.1
7.8
6.5
6.8
6.5
5.6
6.1
Mississippi
7.3
7.9
8
8
6.8
8
8.8
8.6
7.4
7.4
7.3
6.4
7.1
United
States
6.5
7.1
7.1
6.8
5.9
6.1
6.3
6.6
6.3
5.8
5.6
5.6
5.4
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 20.72 minutes is shorter than the national median commute time of 24 minutes.
Average Commute Time (mins)
Report Area
Hinds County,
MS
Mississippi
United States
Workers
16 and Up
Travel Time Travel Time
in Minutes
in Minutes
(Percent of
(Percent of
Workers)
Workers)
Less than 10
10 to 30
Travel Time
in Minutes
(Percent of
Workers)
30 to 60
Travel Time
in Minutes
(Percent of
Workers)
More than
60
Average
Commute
Time (mins)
102,499
10.75
63.66
23.14
2.44
20.72
1,179,917
16.16
52.66
24.6
6.59
23.34
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
Hinds County, MS
(20.72)
Mississippi (23.34)
United States (24.42)
Average Work Commute Time (Minutes), Average by Tract, ACS 200812
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 7,635 persons to 6,872
persons, a rate change of -0.53% percent.
Rate Change
Report Area
Hinds County,
MS
Mississippi
United States
Unemployment Unemployment
December 2013 December 2014
Unemployment Unemployment
Rate
Rate
December 2013 December 2014
Rate
Change
7,635
6,872
6.67%
6.15%
-0.53%
92,095
88,135
7.27%
7.07%
-0.21%
10,169,366
8,470,114
6.53%
5.41%
-1.13%
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
Hinds County, MS
(-0.53%)
Mississippi (0.21%)
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.
Percent Lacking Literacy
Skills
Report Area
Hinds County, MS
Mississippi
United States
Estimated Population over 16
Percent Lacking Literacy Skills
179,442
14%
2,116,087
16%
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
Hinds County, MS
(14%)
Mississippi (16%)
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.
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
Hinds County,
MS
14.91
25.1
25.2
7.4
16.7
10.7
Mississippi
18.53
30.5
22.7
8.1
12.8
7.3
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
Hinds County, MS
(14.91%)
Mississippi (18.53%)
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 nonveterans in the region. Educational attainment is calculated for persons over 25, and is an average for the period from 2009 to
2013.
Percent Veterans with No High
School Diploma
Report
Area
Hinds
County,
MS
NonVeterans
NonNonVeterans 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
10.33
23.9
38.57
27.2
15.39
25.23
31.98
27.4
Mississippi
9.49
29.55
39.3
21.66
19.64
30.67
29.81
19.88
United
States
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
Hinds County, MS
(10.33%)
Mississippi (9.49%)
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 58,131 homeowners in the report area in 2000, and 63.86% owner occupied
homes in the report area for the 5 year estimated period from 2008 - 2012.
Owner Occupied Homes
2012
Report Area
Hinds County, MS
Mississippi
United States
Owner Occupied
Homes
2000
Owner Occupied
Homes
2000
Owner Occupied
Homes
2012
Owner Occupied
Homes
2012
58,131
63.86%
52,640
50.82%
756,967
72.34%
760,513
59.68%
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
Hinds County, MS
(50.82%)
Mississippi
(59.68%)
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
Hinds County, MS
Mississippi
United States
Total Housing Units
Median Year Built
Median Age (from 2013)
103,606
1973
40
1,277,522
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
635 housing units in the report area were without plumbing in 2000 and ACS five year estimates show 758 housing units in the
report area were without plumbing in 2012.
Percent Without Plumbing
2012
Report Area
Hinds County,
MS
Mississippi
United States
Occupied
Housing
Units
2000
Occupied
Housing
Units
without
Plumbing
2000
Percent
without
Plumbing
2000
Occupied
Housing
Units
2012
Occupied
Housing
Units
without
Plumbing
2012
Percent
without
Plumbing
2012
91,030
635
0.63%
103,589
758
0.86%
1,046,434
9,015
0.78%
1,274,277
7,139
0.66%
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
Hinds County, MS
(0.86%)
Mississippi
(0.66%)
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 7,403 residential addresses were identified as vacant in the report area, a vacancy rate of
6.3%, and 1,990 business addresses were also reported as vacant, a rate of 11.9%.
Residential Vacancy Rate
Report Area
Hinds County,
MS
Mississippi
United States
Residential
Addresses
Vacant
Residential
Addresses
Residential
Vacancy
Rate
Business
Addresses
Vacant
Business
Addresses
Business
Vacancy
Rate
118,116
7,403
6.3%
16,653
1,990
11.9%
1,446,541
69,095
4.8%
134,198
14,007
10.4%
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
Hinds County, MS
(6.3%)
Mississippi (4.8%)
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
Hinds County, MS
$34,826
Mississippi
$38,191
United States
$52,250
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 2013
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 $20448,
compared to a national average of $28,155.
Report Area
Median Household Income
Per Capita Income
Hinds County, MS
$37,626
$20,448
Mississippi
$39,031
$20,618
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 33501 students (or 82.54 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.
Percent Students Eligible for Free or
Reduced Price Lunch
Report Area
Hinds County, MS
Mississippi
United States
Total Students
Number Free/Reduced Percent Free/Reduced
Price Lunch Eligible
Price Lunch Eligible
40,590
33,501
83.14%
492,301
352,084
71.68%
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
Hinds County, MS
(83.14%)
Mississippi (71.68%)
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
Hinds County, MS
78.71%
80.5%
81.12%
83.14%
Mississippi
70.53%
70.74%
71.47%
71.71%
United States
47.76%
49.24%
48.29%
51.77%
Households Receiving SNAP by Poverty Status (ACS)
The below table shows that 17220 households (or 19.6% percent) received SNAP payments during 2013. During this same period
there were 9788 households with income levels below the poverty level that were not receiving SNAP payments. The national
average is 7.7 percent.
Report Area
Hinds County,
MS
Mississippi
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
Households
Receiving
SNAP
Total
Households
Receiving
SNAP
Percent
Households
Receiving
SNAP
Income
Below
Povery
17,220
19.6%
10,355
6,865
70,624
80.4%
9,788
60,836
189,165
17.39%
115,216
73,949
898,908
82.61%
116,073
782,835
Report Area
Households
Receiving
SNAP
Total
Households
Receiving
SNAP
Percent
Households
Receiving
SNAP
Income
Below
Povery
United States
14,339,330
12.4%
7,498,398
Households
Not
Receiving
SNAP
Total
Households
Not
Receiving
SNAP
Percent
Households
Not
Receiving
SNAP
Income
Below
Povery
6,840,932 101,270,886
87.6%
8,917,586
Households
Receiving
SNAP
Income
Above
Povery
Note: Data breakout by demographic groups are not available.
Data Source: US Census Bureau, American Community Survey. Source geography: County
Households
Not
Receiving
SNAP
Income
Above
Povery
92,353,292
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
Provider Number
FQHC Name
Address
City
Phone
Hinds County, MS
PN: 251004
JHC HC-JACKSON
MEDICAL MALL
350 WOODROW
WILSON
BOULEVARD
JACKSON
(601) 362-5321
Hinds County, MS
PN: 251011
JACKSON HINDS
COMPREHENSIVE
HEALTH CENTER
514 A-B EAST
WOODROW
WILSON
JACKSON
(601) 362-5321
Hinds County, MS
PN: 251830
JACKSON HINDS
COMPREHENSIVE
HEALTH CTR
4433 MEDGAR
EVERS BLVD
JACKSON
(601) 362-5321
Hinds County, MS
PN: 251850
CENTRAL
MISSISSIPPI
HEALTH SERVICES
1134 WINTER
STREET
JACKSON
(601) 948-5572
Report Area
Provider Number
FQHC Name
Address
Hinds County, MS
PN: 251892
JACKSON HINDS
3502 WEST
COMP HLTH CTR NORTHSIDE DRIVE
DENTAL MO
Hinds County, MS
PN: 251893
JACKSON HINDS
COMP HLTH CTR
UTICA CLN
Hinds County, MS
PN: 251894
JACKSON HINDS
COMP HLTH CTR
TOUGALOO
Hinds County, MS
City
Phone
JACKSON
(601) 362-5321
6608 HIGHWAY 27
NORTH
UTICA
(601) 885-6021
500 WEST
COUNTY LINE
ROAD
TOUGALOO
(601) 978-3095
PN: 251895
JACKSON HINDS
327 SOUTH
COMP HLTH CTR GALLATIN STREET
HOMELESS
JACKSON
(601) 914-1789
Hinds County, MS
PN: 251898
JACKSON HINDS
COMP HLTH CTR
SOUTH CLIN
866 MEDICAL
PLAZA
JACKSON
(601) 372-1800
Hinds County, MS
PN: 251907
JACKSON HINDS 260 HIGHWAY 18 &
COMP HEALTH
27
CTR UTICA
SCHOOL BASED
UTICA
(601) 885-8765
Hinds County, MS
PN: 251909
JACKSON HINDS
COMP HEALTH
CTR ROWAN
SCHOOL BASED
136 WEST ASH
STREET
JACKSON
(601) 960-5349
Hinds County, MS
PN: 251911
JACKSON HINDS
COMP HEALTH
CTR VAN WINKLE
SCH BASED
1655 WHITING
ROAD
JACKSON
(601) 923-2547
Hinds County, MS
PN: 251936
CENTRAL MS
5429 ROBINSON
HEALTH SERVICES ROAD EXTENSION
INC SOUTHWEST
JACKSON
(601) 948-5574
Report Area
Provider Number
FQHC Name
Address
City
Phone
Hinds County, MS
PN: 251960
JACKSON HINDS
COMP HLTH CTR
B-E ELEM
9700 I-20 WEST
FRONTAGE ROAD
BOLTON
(601) 866-2522
Hinds County, MS
PN: 251964
VOICE OF
CALVARY FAMILY
HEALTH CENTER
INC
350 W WOODROW
WILSON AVENUE
JACKSON
(601) 944-9912
Hinds County, MS
PN: 251965
JACKSON-HINDS
COMPREHENSIVE
HEALTH CENTER
MOBILE UNIT #2
JACKSON
(601) 362-5321
Hinds County, MS
PN: 251969
JACKSON-HINDS
COMPREHENSIVE
HLTH CTR--JIM
HILL SBC
2185 FORTUNE
STREET
JACKSON
(601) 960-5354
Hinds County, MS
PN: 251970
JACKSON-HINDS
COMPREHENSIVE
HLTH CENTERISABLE SBC
1716 ISABLE
STREET
JACKSON
(601) 960-5310
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 81 active Medicare and Medicaid institutional service providers in the report area in the third quarter
of 2013.
Report Area
Hinds County, MS
Mississippi
United States
Total
Institutional
Providers
Federally
Qualified
Health Centers
Nursing
Facilities
Hospitals
Rural
Health
Clinics
Community
Mental Health
Centers
81
13
14
18
2
2
1,062
127
204
181
170
10
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 40,065
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 10,819 disabled persons in the report area received Medicare benefits in 2012.
Report Area
Hinds County, MS
United States
Persons over 65
Receiving Medicare
Disabled Persons
Receiving Medicare
Total Persons
Receiving Medicare
29,246
10,819
40,065
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
Hinds County, MS
Mississippi
United States
Insurance
Population
Number Insured
Number Uninsured
Percent Uninsured
213,327
169,315
44,013
20.6%
2,494,030
2,002,093
491,937
19.7%
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
Hinds County, MS
(20.6%)
Mississippi
(19.7%)
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 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 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.
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 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 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 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.
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 (pointlocation) 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 (pointlocation) 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:
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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
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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 11, 2015.