Community Action Partnership s1

Community Action Partnership CNA Cam Will Report Area Cameron County, TX; Willacy County, TX Data Category Population Profile | Employment | Education | Housing | Income | Nutrition | Health Care Population Profile Data Indicators: Population Profile. Population Change . Households in Poverty . Poverty Rate Change (Age 5- . Age and Gender Demographics . Poverty Rate (ACS) 17) . Race Demographics . Households in Poverty by Family . Child Poverty Rate (ACS) Ages 0-17 . Veterans, Age and Gender Type Demographics . Household Poverty Rate by Family . Child Poverty Rate (ACS) Ages 0-4 . Poverty Type . Poverty Rate Change (Age 0-17) . Child Poverty Rate (ACS) Ages . Poverty Rate Change 5-17 . Poverty Rate Change (Age 0-4) . Seniors in PovertyPopulation Change Population change within the report area from 2000-2013 is shown below. During the thirteen-year period, total population estimates for the report area grew by 21.8 percent, increasing from 355,309 persons in 2000 to 432,749 persons in 2013. Population Change Percent Change Percent Change in Population Total Population, Total Population, Report Area from 2000-2013 from 2000-2013 2013 ACS 2000 Census Census/ACS Census/ACS Report Area 432,749 355,309 77,440 21.8% Cameron County, 410,710 335,227 75,483 22.52% TX Willacy County, TX 22,039 20,082 1,957 9.75% Report Area (21.8%) Texas 25,639,372 20,851,820 4,787,552 22.96% Texas (22.96%) United States (10.7%) United States 311,536,591 281,421,906 30,114,685 10.7% Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. US Census Bureau, Decennial Census. Source geography: County Population, Density (Persons per Sq Mile) by Tract, ACS 2009-13Over 5,000 1,001 - 5,000 501 - 1,000 51 - 500 Under 51 No Data or Data SuppressedReport AreaHousehold Poverty Rate by Family TypeThe percentage of households in poverty by household type are shown for the report area. It is estimated that 30% 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 13% of all households in poverty, compared to 14.8 and 2.3% of households headed by males and married couples, respectively. Poverty Rate Poverty Rate Poverty Rate Poverty Rate Poverty Rate Female Report Area Female Householder All Types Married Couples Male Householder Householder Report Area 30 14.8 2.3 13 Cameron County, 29.7 14.7 2.1 12.9 TX Willacy County, TX 36.5 16.9 5.6 14 Texas 13.7 5.7 1.2 6.8 Report Area (13%) United States 11.3 4.1 1.2 6 Texas (6.8%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. United States (6%) Data Source: US Census Bureau, American Community Survey. Source geography: County Single Parent Family Households Living Below the Poverty Level, Percent by Tract, ACS 2009-13Over 37.0% 30.1 - 37.0% 23.1 - 30.0% Under 23.1% No 1 Parent Households Reported No Data or Data SuppressedReport AreaPoverty 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 7.6%, compared to a national increase of 6.4 percent. Children in Children in Poverty Rate Poverty Rate Change Age 0-17 Poverty Rate Poverty Rate Poverty Poverty Change Report Area Age 0-17 Age 0-17 Age 0-17 Age 0-17 Age 0-17 2000 2012 2000 2012 2000-2012 Report Area 49,169 40.5% 66,596 48.1% 7.6% Cameron 46,436 40.3% 64,015 48.2% 7.9% County, TX Report Area (7.6%) Willacy County, 2,733 44.4% 2,581 45.9% 1.5% Texas (5.1%) TX United States (6.4%) Texas 1,237,626 20.7% 1,777,177 25.8% 5.1% United States 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 Population Below the Poverty Level, Children (Age 0-18), Percent by County, SAIPE 2012Over 30.0% 25.1 - 30.0% 10.1 - 25.0% 15.1 - 20.0% Under 15.1%Report AreaPoverty 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 5.6%, compared to a national increase of 6.5 percent. Children in Children in Poverty Rate Poverty Rate Change Age 0-4 Poverty Rate Poverty Rate Poverty Poverty Change Report Area Age 0-4 Age 0-4 Age 0-4 Age 0-4 Age 0-4 2000 2012 2000 2012 2000-2012 Report Area 17,277 47.2% 19,839 52.8% 5.6% Cameron 16,386 47% 19,152 53% 6% County, TX Report Area (5.6%) Willacy County, 891 52.2% 687 46.5% -5.8% Texas (4.4%) TX United States (6.5%) Texas 443,242 25.3% 569,721 29.7% 4.4% United States 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 Population Below the Poverty Level, Children (Age 0-4), Percent by County, SAIPE 2012Over 30.0% 25.1 - 30.0% 10.1 - 25.0% 15.1 - 20.0% Under 15.1%Report AreaPoverty 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 8.8%, compared to a national increase of 6.4 percent. Children in Children in Poverty Rate Poverty Rate Change Age5-17 Poverty Rate Poverty Rate Poverty Poverty Change Report Area Age 5-17 Age 5-17 Age 5-17 Age 5-17 Age5-17 2000 2012 2000 2012 2000-2012 Report Area 31,892 37.6% 46,757 46.4% 8.8% Cameron 30,050 37.4% 44,863 46.4% 9% County, TX Report Area (8.8%) Willacy County, 1,842 41.4% 1,894 45.7% 4.3% Texas (5.5%) TX United States (6.4%) Texas 794,384 18.8% 1,207,456 24.3% 5.5% United States 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 Population Below the Poverty Level, Children (Age 5-17), Percent by County, SAIPE 2012Over 30.0% 25.1 - 30.0% 10.1 - 25.0% 15.1 - 20.0% Under 15.1%Report AreaChild Poverty Rate (ACS) Ages 0-17Population 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 47.6 percent of children lived in a state of poverty during the survey calendar year. The poverty rate for children living in the report area is greater than the national average of 21.6 percent. Ages 0-17 Ages 0-17 Ages 0-17 Ages 0-17 Poverty Rate Report Area Total Population In Poverty Poverty Rate Report Area 138,006 65,716 47.6 Cameron County, TX 132,229 63,058 47.7 Willacy County, TX 5,777 2,658 46 Texas 6,840,903 1,727,801 25.3 Report Area (47.6%) United States 72,748,616 15,701,799 21.6 Texas (25.3%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County United States (21.6%) Population Below the Poverty Level, Children (Age 0-17), Percent by Tract, ACS 2009-13Over 30.0% 22.6 - 30.0% 15.1 - 22.5% Under 15.1% No Population Age 0-17 Reported No Data or Data SuppressedReport AreaChild Poverty Rate (ACS) Ages 0-4Population 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 51.2 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 Ages 0-4 Ages 0-4 Ages 0-4 Poverty Rate Report Area Total Population In Poverty Poverty Rate Report Area 37,351 19,122 51.2 Cameron County, TX 35,866 18,625 51.9 Willacy County, TX 1,485 497 33.5 Texas 1,909,544 540,662 28.3 Report Area (51.2%) United States 19,743,544 4,881,767 24.7 Texas (28.3%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County United States (24.7%) Population Below the Poverty Level, Children (Age 0-4), Percent by Tract, ACS 2009-13Over 37.0% 27.1 - 37.0% 17.1 - 27.0% Under 17.1% No Population Age 0-4 Reported No Data or Data SuppressedReport AreaChild Poverty Rate (ACS) Ages 5-17Population 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 46.3 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 Ages 5-17 Ages 5-17 Ages 5-17 Poverty Rate Report Area Total Population In Poverty Poverty Rate Report Area 100,655 46,594 46.3 Cameron County, TX 96,363 44,433 46.1 Willacy County, TX 4,292 2,161 50.3 Texas 4,931,359 1,187,139 24.1 Report Area (46.3%) United States 53,005,064 10,820,032 20.4 Texas (24.1%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County United States (20.4%) Population Below the Poverty Level, Children (Age 5-17), Percent by Tract, ACS 2009-13Over 29.0% 21.1 - 29.0% 13.1 - 21.0% Under 13.1% No Population Age 5-17 Reported No Data or Data SuppressedReport AreaSeniors in PovertyPoverty rates for seniors (persons age 65 and over) are shown below. According to American Community Survey estimates, there were 12762 seniors, or 26.4 percent, living in poverty within the report area. Seniors Seniors Senior Senior Report Area Poverty Rate Total in Poverty Poverty Rate Report Area 48,392 12,762 26.4 Cameron County, TX 45,793 11,683 25.5 Willacy County, TX 2,599 1,079 41.5 Texas 2,652,550 299,125 11.3 United States 40,544,640 3,793,577 9.4 Report Area (26.4%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Texas (11.3%) Data Source: US Census Bureau, American Community Survey. Source geography: County United States (9.4%) Population Below the Poverty Level, Senior (Age 65 ), Percent by Tract, ACS 2009-13Over 17.0% 12.1 - 17.0% 7.1 - 12.0% Under 7.1% No Population Age 65 Reported No Data or Data SuppressedReport AreaAge and Gender DemographicsPopulation by gender within the report area is shown below. According to ACS 2009-2013 5 year population estimates for the report area, the female population comprised 51.74% of the report area, while the male population represented 48.26%. 0 to 4 0 to 4 5 to 17 5 to 17 18 to 64 18 to 64 Over 64 Over 64 Report Area Male Female Male Female Male Female Male Female Report Area 19,231 18,566 52,094 49,909 116,979 126,557 19,530 27,775 Cameron 18,487 17,825 49,975 47,731 109,128 120,786 18,504 26,312 County, TX Willacy 744 741 2,119 2,178 7,851 5,771 1,026 1,463 County, TX Texas 987,673 947,300 2,552,456 2,437,479 7,989,239 7,988,880 1,093,994 1,536,558 United States 10,247,162 9,804,950 27,536,556 26,288,810 97,303,216 98,504,848 16,290,099 23,690,560 Note: Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Median Age by Tract, ACS 2009-13Over 45.0 40.1 - 45.0 35.1 - 40.0 Under 35.1 No Data or Data SuppressedReport AreaRace DemographicsPopulation by gender within the report area is shown below. According to ACS 2009-2013 5 year population estimates, the white population comprised 97.49% of the report area, black population represented 0.65%, and other races combined were 1.86%. Persons identifying themselves as mixed race made up 1.01% of the population. American Native Mixed White Black Asian Report Area Indian Hawaiian Race Total Total Total Total Total Total Report Area 394,328 2,638 766 2,671 27 4,071 Cameron County, 373,365 2,289 728 2,652 24 3,984 TX Willacy County, TX 20,963 349 38 19 3 87 Texas 19,075,100 3,030,970 129,219 1,019,260 20,974 590,326 United States 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 2009-13Over 25.0% 10.1 - 25.0% 5.1 - 10.0% Under 5.1% No Minority Population Reported No Data or Data SuppressedReport AreaRace Demographics - Male American Native Mixed White Black Asian Report Area Indian Hawaiian Race Male Male Total Male Male Male Report Area 191,104 1,708 422 1,418 24 1,945 Cameron County, 179,965 1,380 407 1,399 24 1,881 TX Willacy County, TX 11,139 328 15 19 0 64 Texas 9,482,523 1,464,175 65,974 495,232 10,687 293,713 United States 113,846,008 18,685,702 1,263,498 7,227,755 263,945 4,342,446Race Demographics - Female American Native Mixed White Black Asian Report Area Indian Hawaiin Race Female Female Female Female Female Female Report Area 203,224 930 344 1,253 3 2,126 Cameron County, 193,400 909 321 1,253 0 2,103 TX Willacy County, TX 9,824 21 23 0 3 23 Texas 9,592,577 1,566,795 63,245 524,028 10,287 296,613 United States 116,746,576 20,481,308 1,276,811 8,004,207 262,402 4,389,887 Veterans, Age and Gender Demographics Veterans, Age and Gender Demographics show the number of veterans living in the report area. 5.84% of the adult population in the report area are veterans, which is less than the national average of 8.99%. Veterans Veterans Veterans % Pop over 18 % Pop over 18 % Pop over 18 Report Area Total Male Female Total Males Females Report Area 17,099 15,758 1,341 5.84 11.39 0.87 Cameron County, 16,018 14,706 1,312 5.8 11.37 0.89 TX Willacy County, TX 1,081 1,052 29 6.65 11.66 0.4 Texas 1,583,272 1,445,791 137,481 8.51 15.88 1.45 United States 21,263,780 19,709,452 1,554,327 8.99 17.21 1.27 Data Source: US Census Bureau, American Community Survey. Source geography: CountyVeterans, Percent of Total Population by Tract, ACS 2009-13Over 13% 11.1 - 13.0% 9.1 - 11.0% Under 9.1% No Data or Data SuppressedReport AreaVeterans by Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Report Area Males Females Males Females Males Females Males Females 18-34 18-34 35-54 35-54 55-64 55-64 Over 65 Over 65 Report Area 1,336 494 3,642 482 3,364 98 7,416 267 Cameron 1,266 476 3,147 482 3,236 89 7,057 265 County, TX Willacy 70 18 495 0 128 9 359 2 Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Veteran Age Report Area Males Females Males Females Males Females Males Females 18-34 18-34 35-54 35-54 55-64 55-64 Over 65 Over 65 County, TX Texas 139,086 34,658 385,728 63,790 337,843 21,871 583,134 17,162 United States 1,397,538 325,905 4,634,244 711,580 4,649,009 259,380 9,028,661 257,462Poverty2012 poverty estimates show a total of 153,065 persons living below the poverty level in the report area. Poverty information is at 100% of the federal poverty income guidelines Age 0-17 All Ages All Ages All Ages Age 0-17 Age 5-17 Age 5-17 Poverty Rate Report Area No of No of Persons Poverty Rate Poverty Rate No of Persons Poverty Rate Persons Report Area 153,065 35.64% 66,596 48.11% 46,757 46.37% Cameron 145,824 35.5% 64,015 48.2% 44,863 46.4% County, TX Willacy County, 7,241 38.6% 2,581 45.9% 1,894 45.7% Report Area (35.64%) TX Texas (17.9%) Texas 4,565,185 17.9% 1,777,177 25.8% 1,207,456 24.3% United States (15.9%) United States 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 Population Below the Poverty Level, Children (Age 0-17), Percent by Tract, ACS 2008-12Over 30.0% 22.6 - 30.0% 15.1 - 22.5% Under 15.1% No Population Age 0-17 Reported No Data or Data SuppressedReport AreaPoverty Rate ChangePoverty 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 5.1%, compared to a national increase of 4.6%. Persons in Persons in Poverty Rate Poverty Rate Change Poverty Rate Poverty Rate Report Area Poverty Poverty Change 2000 2012 2000 2012 2000-2012 Report Area 109,394 30.5% 153,065 35.6% 5.1% Cameron 102,694 30.2% 145,824 35.5% 5.3% County, TX Willacy County, 6,700 35.6% 7,241 38.6% 3% Report Area (5.1%) TX Texas (3.3%) Texas 3,041,115 14.6% 4,565,185 17.9% 3.3% United States (4.6%) United States 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 Population Below the Poverty Level, Percent by County, SAIPE 2012Over 22.0% 18.1 - 22.0% 15.1 - 18.0% 12.1 - 15.0% Under 12.1%Report AreaHouseholds in PovertyThe number and percentage of households in poverty are shown in the report area. In 2012, it is estimated that there were 38870 households, or 31.52%, living in poverty within the report area. Households Percent Households Percent Households Report Area Total Households in Poverty in Poverty in Poverty Report Area 123,335 38,870 31.52 Cameron County, TX 117,836 36,628 31.1 Willacy County, TX 5,499 2,242 40.8 Texas 8,886,471 1,395,335 15.7 United States 115,610,216 16,415,984 14.2 Report Area (31.52%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Texas (15.7%) Data Source: US Census Bureau, American Community Survey. Source geography: County United States (14.2%) Households Living Below the Poverty Level, Percent by Tract, ACS 2009- 13Over 20.0% 15.1 - 20.0% 10.1 - 15.0% Under 10.1% No Data or Data SuppressedReport AreaPoverty 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 35 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 Percent Population in Poverty Report Area Total Population Population in Poverty Poverty Report Area 421,122 147,374 35% Cameron County, TX 401,269 139,890 34.86% Willacy County, TX 19,853 7,484 37.7% Texas 24,607,114 4,270,218 17.35% Report Area (35%) United States 301,333,408 44,852,528 14.88% Texas (17.35%) Note: This indicator is compared with the state average. Data Source: US Census Bureau, American Community Survey. Source geography: Tract United States (14.88%) Population Below the Poverty Level, Percent by Tract, ACS 2008-12Over 20.0% 15.1 - 20.0% 10.1 - 15.0% Under 10.1% No Data or Data SuppressedReport AreaPopulation in Poverty by Gender Report Area Total Male Total Female Percent Male Percent Female Report Area 66,897 80,477 33.03% 36.81% Cameron County, TX 63,303 76,587 32.86% 36.71% Willacy County, TX 3,594 3,890 36.47% 38.91% Texas 1,911,747 2,358,471 15.79% 18.87% United States 20,059,080 24,793,446 13.61% 16.1% Population in Poverty by Ethnicity Alone Total Not Hispanic / Percent Not Hispanic / Report Area Total Hispanic / Latino Percent Hispanic / Latino Latino Latino Report Area 140,126 7,248 37.79% 14.4% Cameron County, TX 133,144 6,746 37.69% 14.05% Willacy County, TX 6,982 502 39.82% 21.66% Texas 2,425,748 1,844,470 26.1% 12.05% United States 11,920,585 32,931,944 24.08% 13.08% Population in Poverty by Race Alone, Percent Black or Native Native Some Other Report Area White African American / Asian Hawaiian / Multiple Race Race American Alaska Native Pacific Islander Report Area 35.15% 23.85% 27.67% 4.49% 0% 36.88% 34.13% Cameron County, 35.01% 23.77% 19.64% 4.49% 0% 37.15% 33.89% TX Willacy County, TX 38.01% 25% 68.91% no data no data 24.31% 40.77% Texas 15.68% 23.8% 22% 11.93% 16.46% 26.5% 17.61% United States 12.11% 26.49% 27.79% 12.1% 18.66% 26.1% 19.43% Population in Poverty by Race Alone, Total Black or Native Native Some Other Report Area White African American / Asian Hawaiian / Multiple Race Race American Alaska Native Pacific Islander Report Area 134,457 553 202 118 0 10,737 1,307 Cameron County, 127,294 517 120 118 0 10,587 1,254 TX Willacy County, TX 7,163 36 82 0 0 150 53 Texas 2,864,911 675,190 27,142 115,388 3,284 489,304 94,999 United States 27,134,944 9,836,000 678,999 1,763,994 93,123 3,784,645 1,560,822 Households in Poverty by Family TypeThe number of households in poverty by type are shown in the report area. The U.S. Census Bureau estimates that there were 29596 households living in poverty within the report area. Households in Households in Households in Households in Report Area Total Households Poverty Poverty Poverty Poverty Total Married Couples Male Householder Female Householder Report Area 98,552 29,596 14,557 2,254 12,785 Cameron County, 94,157 27,994 13,816 2,008 12,170 TX Willacy County, TX 4,395 1,602 741 246 615 Texas 6,206,755 850,741 351,896 75,914 422,931 United States 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 2009-13Over 9.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1% No Married Families Reported No Data or Data SuppressedReport AreaEmploymentCommuter Travel PatternsThis table shows the method of transportation workers used to travel to work for the report area. Of the 144675 workers in the report area, 80.8 drove to work alone while 12.2 carpooled. 0.7 of all workers reported that they used some form of public transportation, while others used some optional means including 2 walking or riding bicycles, and 2 used taxicabs to travel to work. Percent Percent Percent Percent Percent Percent Workers Percent Drive Alone Report Area Drive Public Bicycle or Taxi or Work at 16 and Up Carpool Alone Transportation Walk Other Home Report Area 144,675 80.8 12.2 0.7 2 2 2.3 Cameron 139,234 80.5 12.4 0.7 2.1 2.1 2.3 County, TX Willacy County, 5,441 89.5 7.2 0 1 1.3 0.9 Report Area (80.8%) TX Texas (79.9%) Texas 11,445,014 79.9 11.1 1.6 1.9 1.5 4 United States (76.4%) United States 139,786,640 76.4 9.8 5 3.4 1.2 4.3 Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Workers Traveling to Work by Car, Percent by Tract, ACS 2008-12Over 95.0% 91.1 - 95.0% 87.1 - 91.0% Under 87.1% No Data or Data SuppressedReport AreaCurrent UnemploymentLabor 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 7.3% percent unemployment rate in December 2014. Number Unemployment Rate Report Area Labor Force Number Employed Unemployment Rate Unemployed Report Area 170,466 158,048 12,418 7.3% Cameron County, 162,371 150,690 11,681 7.2% TX Willacy County, TX 8,095 7,358 737 9.1% Texas 13,005,442 12,466,775 538,667 4.1% Report Area (7.3%) Texas (4.1%) United States 156,669,187 148,199,073 8,470,114 5.4% United States (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 Unemployment, Rate by County, BLS 2014 - DecemberOver 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%Report AreaFive Year Unemployment RateUnemployment 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 11.86% percent to 7.28% percent. December December December December December December Report Area 2014 2010 2011 2012 2013 2014 Report Area 11.86% 11.17% 10.37% 9.55% 7.28% Cameron 11.79% 10.98% 10.19% 9.4% 7.19% County, TX Willacy County, 13.07% 14.6% 13.86% 12.43% 9.1% TX Report Area (7.28%) Texas 7.95% 7.08% 6.28% 5.62% 4.14% Texas (4.14%) United States 9.19% 8.32% 7.69% 6.53% 5.41% United States (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 Unemployment, Rate by County, BLS 2014 - DecemberOver 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%Report AreaHousehold IncomeMedian annual household incomes in the report area are shown below. Report Area Median Household Income Cameron County, TX $33,905 Willacy County, TX $28,945 Texas $51,714 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 2013Over $70,000 $50,001 - $70,000 $40,001 - $50,000 Under $40,001Report AreaThirteen Month Unemployment RatesUnemployment 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 9.6 percent to 7.3 percent. Report Dec. Feb. March April May June July August Sept. Oct. Nov. Dec. Jan. 2014 Area 2013 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 Report 9.6 9.9 9.9 8.9 8.2 8.4 8.9 9 9 8.1 7.8 7.8 7.3 Area Camero 9.4 9.7 9.8 8.8 8 8.2 8.8 8.9 8.9 8 7.7 7.7 7.2 n County, TX Willacy 12.4 12.9 12.5 11.7 10.6 10.5 11.3 11.3 11.3 10.2 9.9 10 9.1 County, TX Texas 5.6 5.8 5.9 5.3 4.7 5.1 5.5 5.6 5.5 5 4.8 4.6 4.1 United 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 States 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 - DecemberOver 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%Report AreaTravel Time to WorkTravel 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 19.5 minutes is shorter than the national median commute time of 24 minutes. Travel Time Travel Time Travel Time Travel Time Average Commute Time (mins) in Minutes in Minutes in Minutes in Minutes Average Workers Report Area (Percent of (Percent of (Percent of (Percent of Commute 16 and Up Workers) Workers) Workers) Workers) Time (mins) Less than 10 10 to 30 30 to 60 More than 60 Report Area 144,675 14.09 62.22 18.41 3 19.5 Cameron 139,234 14.01 64.08 18.81 3.1 19.57 Report Area (19.5) County, TX Texas (24) Willacy 5,441 24.53 53.51 19.65 2.32 17.88 United States (24.42) County, TX Texas 11,445,014 13.1 50.97 28.83 7.09 24 United States 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 Average Work Commute Time (Minutes), Average by Tract, ACS 2009-13Over 28 Minutes 25 - 28 Minutes 21 - 24 Minutes Under 21 Minutes No Data or Data SuppressedReport AreaUnemployment ChangeUnemployment 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 16,617 persons to 12,418 persons, a rate change of -2.27% percent. Unemployment Unemployment Rate Change Unemployment Unemployment Rate Report Area Rate Rate December 2013 December 2014 Change December 2013 December 2014 Report Area 16,617 12,418 9.55% 7.28% -2.27% Cameron 15,520 11,681 9.4% 7.19% -2.2% County, TX Willacy County, 1,097 737 12.43% 9.1% -3.33% Report Area (-2.27%) TX Texas (-1.47%) Texas 722,525 538,667 5.62% 4.14% -1.47% United States (-1.13%) United States 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 Unemployment, Rate by County, BLS 2014 - DecemberOver 12.0% 9.1 - 12.0% 6.1 - 9.0% 3.1 - 6.0% Under 3.1%Report AreaEducationAdult LiteracyThe National Center for Education Statistics (NCES) produces estimates for adult literacy based on educational attainment, poverty, and other factors in each county. Report Area Estimated Population over 16 Percent Lacking Literacy Skills Percent Lacking Literacy Skills Report Area 259,309 42.84% Cameron County, TX 245,672 43% Willacy County, TX 13,637 40% Texas 15,936,279 19% United States 219,016,209 14.64% Report Area (42.84%) 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 Texas (19%) United States (14.64%)Educational AttainmentEducational 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 Percent Percent Population with No High School Percent Percent Percent Percent Diploma No High Graduate or Report Area High School Some Associates Bachelors School Professional Only College Degree Degree Diploma Degree Report Area 36.4 24.53 18.62 5.43 10.67 4.35 Cameron 36.32 24.1 18.7 5.5 10.9 4.5 County, TX Report Area (36.4%) Willacy County, 37.82 32 17.9 3.5 6.9 2 Texas (18.83%) TX United States (13.98%) Texas 18.83 25.3 22.7 6.5 17.7 8.9 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 Population with No High School Diploma (Age 18 ), Percent by Tract, ACS 2009-13Over 21.0% 16.1 - 21.0% 11.1 - 16.0% Under 11.1% No Data or Data SuppressedReport AreaVeterans - Educational AttainmentVeterans Educational Attainment contrasts the distribution of educational attainment levels between military veterans and non- veterans in the region. Educational attainment is calculated for persons over 25, and is an average for the period from 2009 to 2013. Non- Percent Veterans with No High School Veterans Non- Non- Diploma Veterans Veterans Non- Veterans Veterans % Veterans Veterans % High % Some Veterans % Report Area % No Bachelors % High % Some School College % No Bachelors Diploma or Higher School College Diploma Diploma Diploma or Higher Diploma Diploma Diploma Diploma Report Area 11.56 28.12 36.35 23.97 38.24 24.27 23.1 14.39 Cameron 11.58 27.28 36.65 24.49 38.13 23.88 23.25 14.74 Report Area (11.56%) County, TX Texas (6.98%) United States (7.73%) Willacy 11.19 40.24 32.01 16.56 40.13 31.25 20.45 8.17 County, TX Texas 6.98 24.34 40 28.68 20.18 25.47 27.95 26.4 United 7.73 29.53 36.42 26.32 14.74 28.01 28.15 29.11 States 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 No High School Diploma, Veterans, Percent by Tract, ACS 2009-13Over 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 SuppressedReport AreaHousingHomeownersThe U.S. Census Bureau estimated there were 70,191 homeowners in the report area in 2000, and 68.25% owner occupied homes in the report area for the 5 year estimated period from 2008 - 2012. Owner Occupied Homes Owner Occupied Owner Occupied Owner Occupied Owner Occupied 2012 Report Area Homes Homes Homes Homes 2000 2000 2012 2012 Report Area 70,191 68.25% 83,048 55.54% Cameron County, 65,875 67.73% 79,010 55.46% TX Willacy County, TX 4,316 77.29% 4,038 57.35% Report Area (55.54%) Texas 4,716,959 63.8% 5,609,007 56.21% Texas (56.21%) United States 69,815,753 66.19% 75,484,661 57.34% United States (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 Owner-Occupied Housing Units, Percent by Tract, ACS 2008-12Over 82.0% 74.1 - 82.0% 66.1 - 74.0% Under 66.1% No Data or Data SuppressedReport AreaHousing AgeTotal housing units, median year built and median age in 2013 for the report area are shown below. Housing units used in housing age include only those where the year built is known. Report Area Total Housing Units Median Year Built Median Age (from 2013) Report Area 150,038no data no data Cameron County, TX 142,9971986 27 Willacy County, TX 7,0411973 40 Texas 10,070,7031983 30 United States 132,057,8081976 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 2008-12Over 16.0% 12.1 - 16.0% 8.1 - 12.0% Under 8.1% No Data or Data SuppressedReport AreaNumber of Unsafe, Unsanitary HomesThe number and percentage of occupied housing units without plumbing are shown for the report area. U.S. Census data shows 2,035 housing units in the report area were without plumbing in 2000 and ACS five year estimates show 1,605 housing units in the report area were without plumbing in 2012. Occupied Occupied Percent Without Plumbing 2012 Percent Percent Occupied Housing Units Occupied Housing Units without without Report Area Housing Units without Housing Units without Plumbing Plumbing 2000 Plumbing 2012 Plumbing 2000 2012 2000 2012 Report Area 102,851 2,035 2% 149,516 1,605 1.1% Cameron 97,267 1,870 1.56% 142,475 1,534 1.31% Report Area (1.1%) County, TX Texas (0.7%) Willacy County, 5,584 165 2.45% 7,041 71 1.32% United States (0.5%) TX Texas 7,393,354 54,853 0.67% 9,978,137 61,114 0.7% United States 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 Housing Units Lacking Complete Plumbing Facilities, Percent by Tract, ACS 2008-12Over 500 251 - 500 101 - 250 Under 101 No Data or Data SuppressedReport AreaVacancy RatesThe 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.. Report Area Residential Vacancy Rate Note: Data breakout by demographic groups are not available. Data Source: US Department of Housing and Urban Development. Source geography: County(0%) Residential Vacancies, Percent by Tract, HUD 2014-Q2Over 10.0% 5.1 - 10.0% 2.1 - 5.0% Under 2.1% No Residential Vacancies No Residential Addresses or No DataReport AreaIncomeHousehold IncomeMedian annual household incomes in the report area are shown below. Report Area Median Household Income Cameron County, TX $33,905 Willacy County, TX $28,945 Texas $51,714 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 2013Over $70,000 $50,001 - $70,000 $40,001 - $50,000 Under $40,001Report AreaIncome 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 $14537.15, compared to a national average of $28,155. Report Area Median Household Income Per Capita Income Report Area no data $14,537.15 Cameron County, TX $33,179 $14,710 Willacy County, TX $25,886 $11,313 Texas $51,900 $26,019 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 2009-13Over 30,000 25,001 - 30,000 20,001 - 25,000 Under 20,001 No Data or Data SuppressedReport AreaNutritionFree and Reduced Lunch ProgramThe following report shows that 96811 students (or 87.58 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. Number Free/Reduced Percent Free/Reduced Percent Students Eligible for Free or Reduced Report Area Total Students Price Lunch Price Lunch Eligible Price Lunch Eligible Report Area 110,540 96,811 87.58% Cameron County, TX 105,828 92,690 87.59% Willacy County, TX 4,712 4,121 87.46% Texas 5,077,507 3,059,657 60.26% United States 49,936,793 25,615,437 51.7% Report Area (87.58%) Note: This indicator is compared with the state average. Texas (60.26%) Data Source: National Center for Education Statistics, NCES - Common Core of Data. Source geography: Address United States (51.7%) Students Eligible for Free or Reduced-Price Lunch by Location, NCES CCD 2012-13Over 80.0% 60.1 - 80.0% 40.1 - 60.0% 20.1 - 40.0% Under 20.1% Not ReportedReport AreaChildren Eligible for Free Lunch (Alone) by Year, 2009-10 through 2012-13 Report Area 2009-10 2010-11 2011-12 2012-13 Report Area 53.69% 48.51% 49.18% 87.63% Cameron County, TX 19.21% 18.58% 18.79% 87.59% Willacy County, TX 13.73% 10.92% 8.59% 87.46% Texas 53.28% 53.26% 54.14% 60.38% United States 47.76% 49.24% 48.29% 51.77% Households Receiving SNAP by Poverty Status (ACS)The below table shows that 35980 households (or 29.2% percent) received SNAP payments during 2013. During this same period there were 16100 households with income levels below the poverty level that were not receiving SNAP payments. The national average is 7.7 percent. Households Households Households Households Households Households Not Not Households Households Receiving Receiving Not Not Receiving Receiving Receiving Receiving SNAP Report Area SNAP Receiving Receiving SNAP SNAP SNAP SNAP Income Income Above SNAP SNAP Income Income Total Percent Below Povery Total Percent Below Above Povery Povery Povery Report Area 35,980 29.2% 22,770 13,210 87,355 70.8% 16,100 71,255 Cameron 34,003 28.86% 21,445 12,558 83,833 71.14% 15,183 68,650 County, TX Willacy 1,977 35.95% 1,325 652 3,522 64.05% 917 2,605 County, TX Households Households Households Households Households Households Not Not Households Households Receiving Receiving Not Not Receiving Receiving Receiving Receiving SNAP Report Area SNAP Receiving Receiving SNAP SNAP SNAP SNAP Income Income Above SNAP SNAP Income Income Total Percent Below Povery Total Percent Below Above Povery Povery Povery Texas 1,173,314 13.2% 614,271 559,043 7,713,157 86.8% 781,064 6,932,093 United States 14,339,330 12.4% 7,498,398 6,840,932 101,270,886 87.6% 8,917,586 92,353,292 Note: Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Households Receiving SNAP Benefits, Percent by Tract, ACS 2009-13Over 19.0% 14.1 - 19.0% 9.1 - 14.0% Under 9.1% No Data or Data SuppressedReport AreaHealth CareFederally Qualified Health CentersFederally Qualified Health Centers in this selected area. Report Area Provider Number FQHC Name Address City Phone Cameron County, PN: 451818 BROWNSVILLE 2137 E 22ND ST BROWNSVILLE (512) 548-7400 TX COMM HEALTH CENTER Willacy County, TX PN: 451826 SU CLINICA 1706 TREASURE HARLINGEN (512) 428-4345 FAMILIAR HILL BLVD MATERNITY Willacy County, TX PN: 451827 SU CLINICA 2018 PEASE ST HARLINGEN (512) 428-4345 FAMILIAR Willacy County, TX PN: 451828 SU CLINICA 105 EALTON BROWNSVILLE (956) 831-8338 FAMILIAR GLOOR BLVD Willacy County, TX PN: 451829 SU CLINICA 4501 S HARLINGEN (512) 428-4345 FAMILIAR DENTAL EXPRESSWAY 83 Willacy County, TX PN: 451969 BROWNSVILLE 2609 DELIA BROWNSVILLE (956) 546-4243 COMMUNITY AVENUE HEALTH CTR AT Report Area Provider Number FQHC Name Address City Phone CAMERON PARK Willacy County, TX PN: 451970 NEW HORIZON 95 EAST PRICE BROWNSVILLE (956) 548-7400 MEDICAL ROAD BUILDING F SUITE F Willacy County, TX PN: 671951 SU CLINICA HIGHWAY 67 & LA SANTA ROSA (956) 365-6071 FAMILIAR FERIA AVE Willacy County, TX PN: 671968 NEW HORIZON 191 EAST PRICE BROWNSVILLE (956) 548-7400 MEDICAL CENTER ROAD Willacy County, TX PN: 671814 SU CLINICA 149 SOUTH 8TH RAYMONDVILLE (956) 689-1922 FAMILIAR STREET Willacy County, TX PN: 451830 SU CLINICA 131 FARM RD 3168 RAYMONDVILLE (512) 428-4345 FAMILIAR 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: CountyFederally Qualified Health Centers by Location, POS June 2014Report AreaMedicare and Medicaid ProvidersTotal 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 131 active Medicare and Medicaid institutional service providers in the report area in the third quarter of 2013. Total Rural Community Nursing Federally Qualified Report Area Institutional Hospitals Health Mental Health Facilities Health Centers Providers Clinics Centers Report Area 131 7 13 11 4 0 Cameron County, 125 7 12 9 4 0 TX Willacy County, TX 6 0 1 2 0 0 Texas 7,784 680 1,207 320 306 40 United States 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: CountyAccess to Primary Care Providers (Including Nurses), Rate per 100,000 Population by Tract, CMS 2012Over 150.0 50.1 - 150.0 25.1 - 50.0 0.1 - 25.0 No Providers No PopulationReport AreaPersons Receiving MedicareThe 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 58,422 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 11,090 disabled persons in the report area received Medicare benefits in 2012. Persons over 65 Disabled Persons Total Persons Report Area Receiving Medicare Receiving Medicare Receiving Medicare Report Area 47,332 11,090 58,422 Persons over 65 Disabled Persons Total Persons Report Area Receiving Medicare Receiving Medicare Receiving Medicare Cameron County, TX 44,603 10,354 54,957 Willacy County, TX 2,729 736 3,465 United States 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: CountyAccess to Primary Care Providers (Including Nurses), Rate per 100,000 Population by Tract, CMS 2012Over 150.0 50.1 - 150.0 25.1 - 50.0 0.1 - 25.0 No Providers No PopulationReport Area Uninsured PopulationThe uninsured population is calculated by estimating the number of persons eligible for insurance (generally those under 65) minus the estimated number of insured persons. Insurance Percent Uninsured Report Area Number Insured Number Uninsured Percent Uninsured Population Report Area 379,737 243,702 136,035 35.8% Cameron County, 363,634 232,217 131,417 36.1% TX Willacy County, TX 16,103 11,485 4,618 28.7% Texas 22,674,778 16,962,480 5,712,298 25.2% Report Area (35.8%) Texas (25.2%) United States 264,246,236 219,286,188 44,960,048 17% United States (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 Uninsured Population, Percent by County, SAHIE 2012Over 25.0% 20.1 - 25.0% 15.1 - 20.0% Under 15.1% No Data or Data SuppressedReport AreaFOOTNOTES Population Change 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. 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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 ] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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] * 100For 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 ] * 100For 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 ] * 100For 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] * 100For 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] * 100For 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] * 100For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Federally Qualified Health Centers Data Background Providers of Service (POS) data is compiled quarterly by Research and Planning Consultants, LP (RPC) for the Centers for Medicare and Medicaid Services (CMS). The Provider of Services (POS) Extract is created from the QIES (Quality Improvement Evaluation System) database. These data include provider number, name, and address and characterize the participating institutional providers. The data are collected through the Centers for Medicare & Medicaid Services (CMS) Regional Offices. The file contains an individual record for each Medicare-approved provider and is updated quarterly. Methodology Population figures are acquired for this indicator from the U.S. Census Bureau, 2010 Decennial Census, Summary File 1. Addresses for all active federally qualified health centers (FQHCs) were acquired from the Centers for Medicare and Medicaid Services (CMS) Providers of Service (POS) data file from June 2014. FQHC addresses were geocoded using the ESRI ArcGIS Online API to obtain the coordinates (point-location) of each facility. The resulting point location file was intersected with standard geographic areas (tracts, counties, and states) to generate a count of the total FQHCs in each area. Medicare and Medicaid Providers Data Background Providers of Service (POS) data is compiled quarterly by Research and Planning Consultants, LP (RPC) for the Centers for Medicare and Medicaid Services (CMS). The Provider of Services (POS) Extract is created from the QIES (Quality Improvement Evaluation System) database. These data include provider number, name, and address and characterize the participating institutional providers. The data are collected through the Centers for Medicare & Medicaid Services (CMS) Regional Offices. The file contains an individual record for each Medicare-approved provider and is updated quarterly. Methodology Population figures are acquired for this indicator from the U.S. Census Bureau, 2010 Decennial Census, Summary File 1. Addresses for all active federally qualified health centers (FQHCs) were acquired from the Centers for Medicare and Medicaid Services (CMS) Providers of Service (POS) data file from June 2014. FQHC addresses were geocoded using the ESRI ArcGIS Online API to obtain the coordinates (point-location) of each facility. The resulting point location file was intersected with standard geographic areas (tracts, counties, and states) to generate a count of the total FQHCs in each area. Persons Receiving Medicare Data Background Providers of Service (POS) data is compiled quarterly by Research and Planning Consultants, LP (RPC) for the Centers for Medicare and Medicaid Services (CMS). The Provider of Services (POS) Extract is created from the QIES (Quality Improvement Evaluation System) database. These data include provider number, name, and address and characterize the participating institutional providers. The data are collected through the Centers for Medicare & Medicaid Services (CMS) Regional Offices. The file contains an individual record for each Medicare-approved provider and is updated quarterly. Methodology Indicator percentages are acquired for 2012 from Centers for Medicare and Medicaid Services (CMS) Chronic Conditions Warehouse. The data used in the chronic condition reports are based upon CMS administrative enrollment and claims data for Medicare beneficiaries enrolled in the fee-for- service program. Beneficiaries who died during the year are included up to their date of death if they meet the other inclusion criteria. Chronic condition prevalence estimates are calculated by CMS by taking the beneficiaries with a particular condition divided by the total number of beneficiaries in our fee-for-service population, expressed as a percentage. For more information and to view the original data, please visit the CMS Chronic Conditions web page. Uninsured Population Data Background The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. It is currently the only dataset providing complete health-insurance coverage estimates. The models predict state and county level insurance estimates for total populations, as well as population groups defined by age, sex, race and income. The SAHIE program models health insurance coverage by combining survey data with population estimates and administrative records. SAHIE estimates are a product of the US Census Bureau with funding from the Centers for Disease Control and Prevention. The SAHIE health insurance models use data from the following sources:. American Community Survey . Internal Revenue Service: Federal Tax Returns . Supplemental Nutrition Assistance Program (SNAP): Participation Records . County Business Patterns . Medicaid and Children's Health Insurance Program (CHIP): Participation Records . US Census 2010 Methodology Counts of the number of persons without medical insurance are modelled for the Small Area Income and Health Insurance Estimates (SAHIE) datasets by the Census Bureau using both survey and census data. In this reporting platform, indicator percentages are summarized from the SAHIE estimates based on the following formula: Percentage = SUM [Uninsured Population] / SUM [Total Population] * 100For 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 23, 2015.

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