Community Needs Assessment Online Tool

Community Action Partnership Community Needs Assessment Online Tool Report Area Flathead County, MT; Lake County, MT; Lincoln County, MT; Sanders County, MT 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 Poverty

Population Change Population change within the report area from 2000-2013 is shown below. During the thirteen-year period, total population estimates for the report area grew by 16.44 percent, increasing from 130,042 persons in 2000 to 151,422 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 151,422 130,042 21,380 16.44% Flathead County, 91,536 74,471 17,065 22.91% MT Lake County, MT 28,905 26,507 2,398 9.05% Report Area (16.44%) Lincoln County, MT 19,581 18,837 744 3.95% Montana (10.68%) United States (10.7%) Sanders County, MT 11,400 10,227 1,173 11.47% Montana 998,554 902,195 96,359 10.68% 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 2009-13

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

Report Area

Age and Gender Demographics

Population by gender within the report area is shown below. According to ACS 2009-2013 5 year population estimates for the report area, the female population comprised 50.32% of the report area, while the male population represented 49.68%. 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 4,597 4,297 13,149 12,189 45,353 46,135 11,649 13,099 Flathead 2,865 2,597 8,168 7,518 28,124 28,520 6,047 7,156 County, MT Lake County, 1,026 997 2,640 2,499 8,104 8,536 2,316 2,610 MT Lincoln 449 431 1,421 1,388 5,885 5,755 1,990 2,107 County, MT Sanders 257 272 920 784 3,240 3,324 1,296 1,226 County, MT Montana 31,337 29,703 83,559 78,696 315,224 307,074 64,772 81,532 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 2009-13

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

Report Area

Race Demographics

Population by gender within the report area is shown below. According to ACS 2009-2013 5 year population estimates, the white population comprised 90.6% of the report area, black population represented 0.19%, and other races combined were 9.2%. Persons identifying themselves as mixed race made up 2.67% of the population. American Native Mixed White Black Asian Report Area Indian Hawaiian Race Total Total Total Total Total Total Report Area 136,811 292 9,081 768 20 4,028 Flathead County, 87,406 205 1,473 440 8 1,757 MT Lake County, MT 20,145 47 6,558 150 1 1,895 Lincoln County, MT 18,779 27 409 165 11 162 Sanders County, MT 10,481 13 641 13 0 214 Montana 893,032 4,038 64,426 6,246 676 24,295 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 2009-13

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

Report Area

Race Demographics - Male American Native Mixed White Black Asian Report Area Indian Hawaiian Race Male Male Total Male Male Male Report Area 68,417 189 4,356 305 13 2,177 Flathead County, 43,603 111 759 217 2 909 MT Lake County, MT 9,954 38 3,022 56 0 1,128 Lincoln County, MT 9,548 27 230 32 11 34 Sanders County, MT 5,312 13 345 0 0 106 Montana 449,119 2,806 31,621 2,383 354 12,436 United States 113,846,008 18,685,702 1,263,498 7,227,755 263,945 4,342,446

Race Demographics - Female American Native Mixed White Black Asian Report Area Indian Hawaiian Race Female Female Female Female Female Female Report Area 68,394 103 4,725 463 7 1,851 Flathead County, 43,803 94 714 223 6 848 MT Lake County, MT 10,191 9 3,536 94 1 767 American Native Mixed White Black Asian Report Area Indian Hawaiian Race Female Female Female Female Female Female Lincoln County, MT 9,231 0 179 133 0 128 Sanders County, MT 5,169 0 296 13 0 108 Montana 443,913 1,232 32,805 3,863 322 11,859 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. 13.33% of the adult population in the report area are veterans, which is more 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 15,616 14,763 853 13.33 25.48 1.44 Flathead County, 8,688 8,137 551 12.35 23.45 1.55 MT Lake County, MT 2,885 2,777 108 13.27 26.22 0.97 Lincoln County, MT 2,506 2,384 122 15.77 29.69 1.55 Sanders County, MT 1,537 1,465 72 16.78 31.77 1.58 Montana 94,404 87,930 6,474 12.23 22.91 1.67 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: County Veterans, Percent of Total Population by Tract, ACS 2009-13

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

Report Area

Veterans by Age 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 735 165 2,828 370 3,858 161 7,342 157 Flathead 490 101 1,711 219 2,132 93 3,804 138 County, MT Lake County, 145 25 483 46 664 24 1,485 13 MT Lincoln 76 25 423 58 682 38 1,203 1 County, MT Sanders 24 14 211 47 380 6 850 5 County, MT Montana 5,993 1,582 19,458 2,570 22,014 1,352 40,465 970 United States 1,397,538 325,905 4,634,244 711,580 4,649,009 259,380 9,028,661 257,462 Poverty

2013 poverty estimates show a total of 27,047 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 27,047 17.88% 8,503 25.63% 5,879 24.17% Flathead 15,378 16.7% 4,640 22.4% 3,246 21.3% County, MT Lake County, 5,824 20.3% 2,132 30.7% 1,441 28.6% Report Area (17.88%) MT Montana (16.1%) Lincoln County, 3,388 17.6% 1,100 31.3% 758 29.2% United States (15.8%) MT Sanders 2,457 21.9% 631 31.6% 434 30% County, MT Montana 159,248 16.1% 45,588 20.8% 30,655 19.3% United States 48,810,868 15.8% 16,086,960 22.2% 10,958,232 20.8% Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County Population Below the Poverty Level, Children (Age 0-18), Percent by County, SAIPE 2013

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

Report Area

Poverty Rate Change

Poverty rate change in the report area from 2000 to 2013 is shown below. According to the U.S. Census, the poverty rate for the area increased by 3.7%, compared to a national increase of 4.5%. Persons in Persons in Poverty Rate Poverty Rate Change Poverty Rate Poverty Rate Report Area Poverty Poverty Change 2000 2013 2000 2013 2000-2013 Report Area 18,583 14.2% 27,047 17.9% 3.7% Flathead 8,745 11.6% 15,378 16.7% 5.1% County, MT Lake County, 4,825 18.2% 5,824 20.3% 2.1% Report Area (3.7%) MT Montana (2.8%) Lincoln County, 3,140 17% 3,388 17.6% 0.6% United States (4.5%) MT Sanders 1,873 18.2% 2,457 21.9% 3.7% County, MT Montana 235,353 13.3% 318,493 16.1% 2.8% United States 63,160,495 11.3% 97,615,776 15.8% 4.5% 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, Percent by County, SAIPE 2013

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

Report Area

Households in Poverty

The number and percentage of households in poverty are shown in the report area. In 2012, it is estimated that there were 9847 households, or 15.69%, living in poverty within the report area. Households Percent Households Percent Households Report Area Total Households in Poverty in Poverty in Poverty Report Area 62,751 9,847 15.69 Flathead County, MT 36,901 4,902 13.3 Lake County, MT 11,829 2,353 19.9 Lincoln County, MT 8,872 1,643 18.5 Sanders County, MT 5,149 949 18.4 Report Area (15.69%) Montana 405,525 57,353 14.1 Montana (14.1%) United States 115,610,216 16,415,984 14.2 United States (14.2%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Households Living Below the Poverty Level, Percent by County, ACS 2009-13

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

Report Area

Poverty Rate (ACS)

The following report section shows population estimates for all persons in poverty for report area. According to the American Community Survey 5 year estimates, an average of 16.8 percent of all persons lived in a state of poverty during the 2009 - 2013 period. The poverty rate for all persons living in the report area is greater than the national average of 15.37 percent. Percent Population in Percent Population in Poverty Report Area Total Population Population in Poverty Poverty Report Area 149,499 25,109 16.8% Flathead County, MT 90,486 12,815 14.16% Lake County, MT 28,480 6,366 22.35% Lincoln County, MT 19,331 3,463 17.91% Report Area (16.8%) Sanders County, MT 11,202 2,465 22% Montana (15.25%) Montana 974,000 148,528 15.25% United States (15.37%) United States 303,692,064 46,663,432 15.37% Note: This indicator is compared with the state average. Data Source: US Census Bureau, American Community Survey. Source geography: Tract Population Below the Poverty Level, Percent by County, ACS 2009-13

Report Area

Population in Poverty by Gender Report Area Total Male Total Female Percent Male Percent Female Report Area 11,333 13,776 15.18% 18.41% Flathead County, MT 5,573 7,242 12.32% 16% Lake County, MT 2,985 3,381 21.32% 23.35% Lincoln County, MT 1,703 1,760 17.45% 18.39% Sanders County, MT 1,072 1,393 18.9% 25.19% Montana 69,573 78,955 14.26% 16.24% United States 20,955,836 25,707,598 14.11% 16.57% Population in Poverty by Ethnicity Alone Total Not Hispanic / Percent Not Hispanic / Report Area Total Hispanic / Latino Percent Hispanic / Latino Latino Latino Report Area 1,028 24,081 25.69% 16.55% Flathead County, MT 445 12,370 20.16% 14.01% Lake County, MT 416 5,950 38.34% 21.72% Lincoln County, MT 75 3,388 16.06% 17.96% Sanders County, MT 92 2,373 38.02% 21.65% Montana 7,911 140,617 27.11% 14.88% United States 12,507,866 34,155,568 24.66% 13.5% Population in Poverty, Percent by Race Alone Black or Native Native Some Other Report Area White African American / Asian Hawaiian / Multiple Race Race American Alaska Native Pacific Islander Report Area 15.59% 19.86% 32.41% 12.48% 30% 22.09% 23.35% Flathead County, 13.89% 13.09% 20.41% 10.91% 75% 21.86% 22.36% MT Lake County, MT 18.05% 40.43% 33.84% 32.87% 0% 23.85% 27.2% Lincoln County, MT 18.01% 25.93% 26.77% 0% 0% 61.11% 0% Sanders County, MT 20.78% 33.33% 47.03% 0%no data 0% 15.02% Montana 13.37% 26.95% 37.08% 18.34% 13.39% 25.64% 22.49% United States 12.53% 27.13% 28.56% 12.53% 19.58% 26.82% 20.06% 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 21,096 55 2,834 95 6 91 932 Flathead County, 12,024 25 271 48 6 54 387 MT Lake County, MT 3,585 19 2,176 47 0 26 513 Lincoln County, MT 3,343 7 102 0 0 11 0 Sanders County, MT 2,144 4 285 0 0 0 32 Montana 116,734 997 22,897 1,098 81 1,417 5,304 United States 28,254,648 10,165,935 701,439 1,872,394 99,943 3,872,191 1,696,884 Households in Poverty by Family Type

The number of households in poverty by type are shown in the report area. The U.S. Census Bureau estimates that there were 4845 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 40,998 4,845 2,230 645 1,970 Flathead County, 24,480 2,519 929 378 1,212 MT Lake County, MT 7,759 1,142 501 188 453 Lincoln County, MT 5,402 641 460 23 158 Sanders County, 3,357 543 340 56 147 MT Montana 255,911 25,899 10,678 3,143 12,078 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 County, ACS 2009-13

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

Report Area

Household Poverty Rate by Family Type

The percentage of households in poverty by household type are shown for the report area. It is estimated that 11.8% 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 4.8% of all households in poverty, compared to 5.4 and 1.6% 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 11.8 5.4 1.6 4.8 Flathead County, 10.3 3.8 1.5 5 MT Lake County, MT 14.7 6.5 2.4 5.8 Lincoln County, MT 11.9 8.5 0.4 2.9 Report Area (4.8%) Sanders County, MT 16.2 10.1 1.7 4.4 Montana (4.7%) Montana 10.1 4.2 1.2 4.7 United States (6%) United States 11.3 4.1 1.2 6 Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Single Parent Family Households Living Below the Poverty Level, Percent by County, ACS 2009-13

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

Report Area

Poverty Rate Change (Age 0-17)

The poverty rate change for all children in the report area from 2000 to 2013 is shown below. According to the U.S. Census, the poverty rate for the area increased by 4.5%, compared to a national increase of 6 percent. Difference in Poverty Rate Change Age 0-17 Poverty Poverty Rate Poverty Poverty Rate Rate Report Area Age 0-17 Age 0-17 Age 0-17 Age 0-17 Age 0-17 2000 2000 2013 2013 2000 - 2013 Report Area 6,760 21.1% 8,503 25.6% 4.5% Flathead 3,161 17.2% 4,640 22.4% 5.2% County, MT Report Area (4.5%) Lake County, 1,818 26% 2,132 30.7% 4.7% Montana (2%) MT United States (6%) Lincoln County, 1,107 25.5% 1,100 31.3% 5.8% MT Sanders 674 29.5% 631 31.6% 2.1% County, MT Montana 80,994 18.8% 91,177 20.8% 2% United States 23,173,638 16.2% 32,172,182 22.2% 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, Children (Age 0-18), Percent by County, SAIPE 2013

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

Report Area

The poverty rate change for all children in the report area from 2000 to 2013 is shown below. According to the U.S. Census, the poverty rate for the area decreased by -3%, compared to a national increase of 5.6 percent. Difference in Poverty Rate Change Age 0-4 Poverty Poverty Rate Poverty Poverty Rate Rate Report Area Age 0-4 Age 0-4 Age 0-4 Age 0-4 Age 0-4 2000 2000 2013 2013 2000 - 2013 Report Area 2,577 32.6% 8,503 29.7% -3% Flathead 1,257 27.4% 1,394 25.5% -2% County, MT Report Area (-3%) Lake County, 683 36.8% 691 36.3% -0.5% Montana (-3.32%) MT Lincoln County, 398 41.9% 342 37.2% -4.7% MT Sanders 239 46.3% 197 35.8% -10.5% County, MT Montana 31,026 28.12% 29,867 24.79% -3.32% 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 2012

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

Report Area

The poverty rate change for all children in the report area from 2000 to 2013 is shown below. According to the U.S. Census, the poverty rate for the area increased by 6.8%, compared to a national increase of 6.2 percent. Difference in Poverty Rate Change Age5-17 Poverty Poverty Rate Poverty Poverty Rate Rate Report Area Age 5-17 Age 5-17 Age 5-17 Age 5-17 Age 5-17 2000 2000 2013 2013 2000 - 2013 Report Area 4,183 17.4% 5,879 24.2% 6.8% Flathead 1,904 13.8% 3,246 21.3% 7.5% County, MT Report Area (6.8%) Lake County, 1,135 22.1% 1,441 28.6% 6.5% Montana (3.7%) MT Lincoln County, 709 20.9% 758 29.2% 8.3% MT Sanders 435 24.6% 434 30% 5.4% County, MT Montana 49,968 15.6% 61,310 19.3% 3.7% 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 2013

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

Report Area

Child Poverty Rate (ACS) Ages 0-17

Population and poverty estimates for children age 0-17 are shown for the report area. According to the American Community Survey 5 year data, an average of 23.8 percent of children lived in a state of poverty during the survey calendar year. The poverty rate for children living in the report area is greater than the national average of 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 33,491 7,964 23.8 Flathead County, MT 20,766 4,216 20.3 Lake County, MT 6,993 2,306 33 Lincoln County, MT 3,597 704 19.6 Report Area (23.8%) Sanders County, MT 2,135 738 34.6 Montana (20.1%) Montana 218,579 43,908 20.1 United States (21.6%) United States 72,748,616 15,701,799 21.6 Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Population Below the Poverty Level, Children (Age 0-17), Percent by Tract, ACS 2009-13

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

Report Area

Population and poverty estimates for children age 0-4 are shown for the report area. According to the American Community Survey 5 year data, an average of 28.5 percent of children lived in a state of poverty during the survey calendar year. The poverty rate for children living in the report area is greater than the national average of 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 8,666 2,466 28.5 Flathead County, MT 5,353 1,336 25 Lake County, MT 1,947 641 32.9 Lincoln County, MT 854 263 30.8 Report Area (28.5%) Sanders County, MT 512 226 44.1 Montana (23.1%) Montana 59,921 13,851 23.1 United States (24.7%) United States 19,743,544 4,881,767 24.7 Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Population Below the Poverty Level, Children (Age 0-4), Percent by Tract, ACS 2009-13

Report Area

Population and poverty estimates for children age 5-17 are shown for the report area. According to the American Community Survey 5 year data, an average of 22.1 percent of children lived in a state of poverty during the survey calendar year. The poverty rate for children living in the report area is greater than the national average of 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 24,825 5,498 22.1 Flathead County, MT 15,413 2,880 18.7 Lake County, MT 5,046 1,665 33 Lincoln County, MT 2,743 441 16.1 Report Area (22.1%) Sanders County, MT 1,623 512 31.5 Montana (18.9%) Montana 158,658 30,057 18.9 United States (20.4%) United States 53,005,064 10,820,032 20.4 Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Population Below the Poverty Level, Children (Age 5-17), Percent by Tract, ACS 2009-13

Report Area

Seniors in Poverty

Poverty rates for seniors (persons age 65 and over) are shown below. According to American Community Survey estimates, there were 2088 seniors, or 8.3 percent, living in poverty within the report area. Seniors Seniors Senior Senior Report Area Poverty Rate Total in Poverty Poverty Rate Report Area 25,071 2,088 8.3 Flathead County, MT 13,337 960 7.2 Lake County, MT 5,027 448 8.9 Lincoln County, MT 4,152 429 10.3 Sanders County, MT 2,555 251 9.8 Report Area (8.3%) Montana 148,104 12,492 8.4 Montana (8.4%) United States 40,544,640 3,793,577 9.4 United States (9.4%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Population Below the Poverty Level, Senior (Age 65 ), Percent by Tract, ACS 2009-13

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

Report Area

Employment

Current Unemployment

Labor force, employment, and unemployment data for each county in the report area is provided in the table below. Overall, the report area experienced an average 7.4% percent unemployment rate in March 2015. Number Unemployment Rate Report Area Labor Force Number Employed Unemployment Rate Unemployed Report Area 68,977 63,853 5,124 7.4% Flathead County, 43,669 40,685 2,984 6.8% MT Lake County, MT 12,614 11,911 703 5.6% Lincoln County, MT 8,002 7,032 970 12.1% Report Area (7.4%) Montana (4.7%) Sanders County, MT 4,692 4,225 467 10% United States (5.6%) Montana 520,230 495,733 24,497 4.7% United States 157,465,357 148,638,040 8,827,317 5.6% 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 2015 - March

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

Report Area

Unemployment Change

Unemployment change within the report area during the 1-year period from March 2014 to March 2015 is shown in the chart below. According to the U.S. Department of Labor, unemployment for this one year period fell from 6,005 persons to 5,124 persons, a rate change of -1.3% percent. Unemployment Unemployment Rate Change Unemployment Unemployment Rate Report Area Rate Rate March 2014 March 2015 Change March 2014 March 2015 Report Area 6,005 5,124 8.73% 7.43% -1.3% Flathead 3,459 2,984 7.92% 6.83% -1.09% County, MT Lake County, 884 703 7.05% 5.57% -1.48% Report Area (-1.3%) MT Montana (-0.97%) Lincoln County, 1,095 970 13.77% 12.12% -1.65% United States (-1.22%) MT Sanders 567 467 12.21% 9.95% -2.26% County, MT Montana 29,150 24,497 5.68% 4.71% -0.97% United States 10,719,745 8,827,317 6.83% 5.61% -1.22% 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 2015 - March

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

Report Area

Household Income

Median annual household incomes in the report area are shown below. Report Area Median Household Income Flathead County, MT $46,885 Lake County, MT $39,219 Lincoln County, MT $34,926 Sanders County, MT $34,847 Montana $46,893 United States $52,250 Note: Data breakout by demographic groups are not available. Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County Median Household Income by County, SAIPE 2013

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

Report Area

Commuter Travel Patterns

This table shows the method of transportation workers used to travel to work for the report area. Of the 63335 workers in the report area, 77.7% drove to work alone while 9.1% carpooled. 0.5% of all workers reported that they used some form of public transportation, while others used some optional means including 4.6% walking or riding bicycles, and 0.8% 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 63,335 77.7% 9.1% 0.5% 4.6% 0.8% 7.2% Flathead 41,342 79.4% 8.5% 0.5% 4.1% 0.9% 6.7% County, MT Lake County, 10,905 71.1% 11.6% 0.6% 5.8% 0.6% 10.3% Report Area (77.7%) MT Montana (75.4%) Lincoln County, 6,965 79% 9% 0.7% 5.4% 0.9% 5.1% United States (76.4%) MT Sanders 4,123 75.3% 9.4% 0.6% 6% 0.5% 8.2% County, MT Montana 469,319 75.4% 10.1% 0.8% 6.3% 1.1% 6.3% 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 County, ACS 2009-13

Over 94.0% 91.1 - 94.0% 88.1 - 91.0% Under 88.1%

Report Area

Travel Time to Work

Travel times for workers who travel (do not work at home) to work is shown for the report area. The median commute time for the report area of 17.79 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 63,335 24.13 50.42 13.86 4.36 17.79 Flathead 41,342 23.57 58.61 14.63 3.19 17.37 Report Area (17.79) County, MT Montana (16.9) Lake County, 10,905 26.25 51.02 16.08 6.65 18.8 United States (24.42) MT Lincoln 6,965 36.7 42.63 13.07 7.61 17.26 County, MT Sanders 4,123 31.63 40.01 18.41 9.96 20.16 County, MT Montana 469,319 27.54 55.56 12.68 4.21 16.9 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 County, ACS 2009-13

Over 27.0 23.1 - 27.0 19.1 - 23.0 Under 19.1

Report Area

Thirteen Month Unemployment Rates

Unemployment change within the report area from March 2014 to March 2015 is shown in the chart below. According to the U.S. Department of Labor, unemployment for this thirteen month period fell from 8.7 percent to 7.4 percent. Report March May June July August Sept. Oct. Nov. Dec. Jan. Feb. Mar. April 2014 Area 2014 2014 2014 2014 2014 2014 2014 2014 2014 2015 2015 2015 Report 8.7 7.6 6.3 6.5 5.8 5.8 5.6 6 6.9 7.3 8.4 8.2 7.4 Area Flathead 7.9 7 5.8 5.9 5.1 5.2 5.1 5.6 6.5 6.8 7.8 7.5 6.8 County, MT Lake 7.1 5.8 5 5.5 5.4 5.2 4.9 4.9 5.5 5.7 6.6 6 5.6 County, MT Lincoln 13.8 12.8 10 10.4 9.2 9.1 8.4 9.1 10.5 11.2 13 13.7 12.1 County, MT Sanders 12.2 9.7 7.9 8.5 8 8.1 7.1 7.4 8.6 9.4 11.2 11.1 10 County, MT Montana 5.7 4.8 4.2 4.6 4.2 4.2 3.9 4.1 4.6 4.6 5.3 4.9 4.7 Report March May June July August Sept. Oct. Nov. Dec. Jan. Feb. Mar. April 2014 Area 2014 2014 2014 2014 2014 2014 2014 2014 2014 2015 2015 2015 United 6.8 5.9 6.1 6.3 6.6 6.3 5.8 5.6 5.6 5.4 6.1 5.9 5.6 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 2015 - March

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

Report Area

Five Year Unemployment Rate

Unemployment change within the report area from March 2011 to March 2015 is shown in the chart below. According to the U.S. Department of Labor, unemployment for this five year period fell from 13.77% percent to 7.43% percent. March March March March March March Report Area 2015 2011 2012 2013 2014 2015 Report Area 13.77% 11.34% 9.9% 8.73% 7.43% Flathead 13.36% 10.86% 9.41% 7.92% 6.83% County, MT Lake County, 10.83% 9.24% 7.57% 7.05% 5.57% MT Report Area (7.43%) Lincoln County, 18.99% 15.2% 14.62% 13.77% 12.12% Montana (4.71%) MT United States (5.61%) Sanders 16.19% 14.44% 12.36% 12.21% 9.95% County, MT Montana 8.15% 7.03% 6.29% 5.68% 4.71% United States 9.25% 8.42% 7.69% 6.83% 5.61% 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 2015 - March

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

Report Area

Education

Educational Attainment

Educational Attainment shows the distribution of educational attainment levels in the report area. Educational attainment is calculated for persons over 25, and is an average for the period from 2009 to 2013. Percent 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 8.33 32.1 26.02 8.16 17.57 7.82 Flathead 6.15 30.8 26.8 7.9 19.8 8.6 County, MT Report Area (8.33%) Lake County, 9.78 31 25.8 8.6 16.4 8.4 Montana (7.87%) MT United States (13.98%) Lincoln County, 13.24 34.5 24.7 9.4 12.5 5.8 MT Sanders 12.75 40.6 23.1 6.8 12.8 3.9 County, MT Montana 7.87 30.1 25.2 8.2 19.7 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 2009-13

Report Area

Adult Literacy

The National Center for Education Statistics (NCES) produces estimates for adult literacy based on educational attainment, poverty, and other factors in each county. Report Area Estimated Population over 16 Percent Lacking Literacy Skills Percent Lacking Literacy Skills Report Area 105,589 9.43% Flathead County, MT 61,509 8% Lake County, MT 20,640 10% Lincoln County, MT 15,006 12% Sanders County, MT 8,434 12% Report Area (9.43%) Montana 704,494 9% Montana (9%) United States 219,016,209 14.64% United States (14.64%) Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: National Center for Education Statistics, NCES - Estimates of Low Literacy. Source geography: County

Veterans - Educational Attainment

Veterans Educational Attainment contrasts the distribution of educational attainment levels between military veterans and non- veterans in the region. Educational attainment is calculated for persons over 25, and is an average for the period from 2009 to 2013. Non- Percent Veterans with No High School Veterans Non- Non- Diploma Veterans Veterans Non- Veterans Veterans % Veterans Veterans Report % High % Some Veterans % % No Bachelors % High % Some Area School College % No Bachelors Diploma or Higher School College Diploma Diploma Diploma or Higher Diploma Diploma Diploma Diploma Report 7.82 31.4 32.63 28.15 8.42 32.24 34.42 24.92 Area Report Area (7.82%) Flathead 6.52 30.57 30.51 32.39 6.1 30.81 35.33 27.76 Montana (7.14%) County, MT United States (7.73%) Lake 8.76 28.01 33.23 30 9.96 31.54 34.59 23.91 County, MT Lincoln 9.45 36.31 36.31 17.93 14.02 34.08 33.59 18.32 County, MT Sanders 10.74 34.35 37.41 17.5 13.21 41.98 28.24 16.57 County, MT Montana 7.14 32.1 35.62 25.14 8.01 29.81 32.94 29.24 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 2009-13

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

Report Area

Housing

Housing Age

Total housing units, median year built and median age in 2013 for the report area are shown below. Housing units used in housing age include only those where the year built is known. Report Area Total Housing Units Median Year Built Median Age (from 2013) Report Area 81,471 no data Flathead County, MT 46,8661985 28 Lake County, MT 16,5441979 34 Lincoln County, MT 11,4211978 35 Sanders County, MT 6,6401981 32 Montana 483,3031976 37 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 2008-12

Report Area

Homeowners

The U.S. Census Bureau estimated there were 38,166 homeowners in the report area in 2000, and 73.66% 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 38,166 73.66% 45,607 56.31% Flathead County, 21,678 73.27% 26,462 56.86% MT Lake County, MT 7,278 71.41% 8,236 49.96% Report Area (56.31%) Lincoln County, MT 5,945 76.57% 6,880 60.58% Montana (57.71%) Sanders County, MT 3,265 76.41% 4,029 60.86% United States (57.34%) Montana 247,723 69.07% 277,816 57.71% United States 69,815,753 66.19% 75,484,661 57.34% Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Owner-Occupied Housing Units, Percent by Tract, ACS 2008-12

Report Area

Vacancy Rates

The U.S. Postal Service provided information quarterly to the U.S. Department of Housing and Urban Development on addresses identified as vacant in the previous quarter. Residential and business vacancy rates for the report area in the second quarter of 2014 are reported. For this reporting period, a total of 1,457 residential addresses were identified as vacant in the report area, a vacancy rate of 1.8%, and 636 business addresses were also reported as vacant, a rate of 7.4% . Vacant Residential Vacant Residential Vacancy Rate Residential Business Business Report Area Residential Vacancy Business Addresses Addresses Vacancy Rate Addresses Rate Addresses Report Area 80,191 1,457 1.8% 8,540 636 7.4% Flathead 55,442 755 1.4% 6,611 446 6.7% County, MT Lake County, 14,019 556 4% 1,173 132 11.3% Report Area (1.8%) MT Montana (2.4%) Lincoln County, 7,666 146 1.9% 609 58 9.5% United States (3.1%) MT Sanders 3,064 0 0% 147 0 0% County, MT Montana 456,739 10,910 2.4% 53,816 3,926 7.3% United States 142,365,117 4,450,031 3.1% 13,422,801 1,320,000 9.8% Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Department of Housing and Urban Development. Source geography: County Residential Vacancies, Percent by Tract, HUD 2014-Q2

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

Report Area

Number of Unsafe, Unsanitary Homes

The number and percentage of occupied housing units without plumbing are shown for the report area. U.S. Census data shows 751 housing units in the report area were without plumbing in 2000 and ACS five year estimates show 642 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 51,817 751 1.4% 80,997 642 0.8% Flathead 29,588 301 0.87% 46,537 203 0.55% Report Area (0.8%) County, MT Montana (0.73%) Lake County, 10,192 80 0.59% 16,484 111 0.92% United States (0.5%) MT Lincoln County, 7,764 277 2.97% 11,356 251 2.8% MT Sanders 4,273 93 1.76% 6,620 77 1.48% County, MT Montana 358,667 2,776 0.67% 481,401 2,941 0.73% 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 2008-12

Over 2.0% 1.1 - 2.0% 0.1 - 1.0% 0.0% No Data or Data Suppressed

Report Area

Income

Income Levels

Two common measures of income are Median Household Income and Per Capita Income, based on U.S. Census Bureau estimates. Both measures are shown for the report area below. The average Per Capita income for the report area is $23951.68, compared to a national average of $28,155. Report Area Median Household Income Per Capita Income Report Area no data $23,951.68 Flathead County, MT $46,581 $25,790 Lake County, MT $38,019 $21,521 Lincoln County, MT $33,333 $21,719 Sanders County, MT $32,881 $19,188 Montana $46,230 $25,373 United States $53,046 $28,155 Note: Data breakout by demographic groups are not available. Data Source: US Census Bureau, American Community Survey. Source geography: County Per Capita Income by Tract, ACS 2009-13

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

Report Area

Household Income

Median annual household incomes in the report area are shown below. Report Area Median Household Income Flathead County, MT $46,885 Lake County, MT $39,219 Lincoln County, MT $34,926 Sanders County, MT $34,847 Montana $46,893 United States $52,250 Note: Data breakout by demographic groups are not available. Data Source: US Census Bureau, Small Area Income & Poverty Estimates. Source geography: County Median Household Income by County, SAIPE 2013

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

Report Area

Nutrition

Free and Reduced Lunch Program

The following report shows that 10452 students (or 48.07 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 21,742 10,452 48.07% Flathead County, MT 13,560 5,567 41.05% Lake County, MT 4,347 2,626 60.41% Lincoln County, MT 2,446 1,360 55.6% Sanders County, MT 1,389 899 64.72% Report Area (48.07%) Montana 142,908 60,262 42.17% Montana (42.17%) United States 49,936,793 25,615,437 51.7% United States (51.7%) Note: This indicator is compared with the state average. Data Source: National Center for Education Statistics, NCES - Common Core of Data. Source geography: Address Students Eligible for Free or Reduced-Price Lunch by Location, NCES CCD 2012-13

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

Report Area

Children Eligible for Free Lunch (Alone) by Year, 2009-10 through 2012-13 Report Area 2009-10 2010-11 2011-12 2012-13 Report Area 45.18% 46.49% 41.87% 48.49% Flathead County, MT 37.77% 39.21% 31.39% 41.05% Lake County, MT 58.82% 59.16% 55.44% 60.41% Lincoln County, MT 51.3% 49.98% 58.47% 55.6% Sanders County, MT 62.34% 63.05% 63.79% 64.72% Montana 40.03% 41.43% 40.85% 42.6% United States 47.76% 49.24% 48.29% 51.77% Households Receiving SNAP by Poverty Status (ACS)

The below table shows that 7462 households (or 11.9% percent) received SNAP payments during 2013. During this same period there were 5474 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 Poverty Total Percent Below Above Poverty Poverty Poverty Report Area 7,462 11.9% 4,373 3,089 55,289 88.1% 5,474 49,815 Flathead 3,361 9.11% 1,855 1,506 33,540 90.89% 3,047 30,493 County, MT Lake County, 2,007 16.97% 1,216 791 9,822 83.03% 1,137 8,685 MT 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 Poverty Total Percent Below Above Poverty Poverty Poverty Lincoln 1,391 15.68% 818 573 7,481 84.32% 825 6,656 County, MT Sanders 703 13.65% 484 219 4,446 86.35% 465 3,981 County, MT Montana 41,453 10.22% 23,398 18,055 364,072 89.78% 33,955 330,117 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 County, ACS 2009-13

Report Area

Health Care

Federally Qualified Health Centers

Federally Qualified Health Centers in this selected area. County Provider Number FQHC Name Address City Phone Flathead County PN: 271838 FLATHEAD 1035 1ST AVENUE KALISPELL (406) 751-8113 COMMUNITY WEST HEALTH CENTER Lake County PN: 271854 DEPARTMENT OF H 71972 BITTERROOT ARLEE (406) 726-3224 H S - ARLEE JIM ROAD Lake County PN: 271855 DEPARTMENT OF H 35840 ROUND SAINT IGNATIUS (406) 745-3525 H S - RONAN BUTTE ROAD Lake County PN: 271856 DEPARTMENT OF H #5 4TH AVENUE POLSON (406) 745-3525 H S - POLSON EAST Lake County PN: 271857 DEPARTMENT OF H 33061 HIGHWAY 93 ELMO (406) 745-3525 H S - ELMO Lake County PN: 271810 CONFEDERATED 308 MISSION DRIVE SAINT IGNATIUS (406) 675-2700 SALISH AND KOOTENAI TRIBE Lincoln County PN: 271814 LINCOLN COUNTY 711 CALIFORNIA LIBBY (406) 293-3755 County Provider Number FQHC Name Address City Phone COMMUNITY ST, P O BOX 1342 HEALTH CENTER Lincoln County PN: 271819 LINCOLN COUNTY 4 DEWEY AVENUE EUREKA (406) 293-3755 COMMUNITY HEALTH CENTER - EUREKA Lincoln County PN: 271820 NORTHWEST 211 EAST 2ND LIBBY (406) 293-8711 COMMUNITY AVENUE HEALTH CENTER - LIBBY CLINIC Lincoln County PN: 271821 LINCOLN COUNTY 101 SKI ROAD LIBBY (406) 293-3755 COMMUNITY HEALTH CENTER - LIBBY MS Lincoln County PN: 271822 LINCOLN COUNTY 150 EDUCATION LIBBY (406) 293-3755 COMMUNITY WAY HEALTH CENTER- LIBBY HS Lincoln County PN: 271829 NORTHWEST 206 CALLAHAN TROY (406) 293-1041 COMMUNITY ROAD HEALTH CENTER - TROY Note: Data breakout by demographic groups are not available. Data Source: US Department of Health & Human Services, Center for Medicare & Medicaid Services, Provider of Services File. Source geography: County Federally Qualified Health Centers by Location, POS June 2014

Report Area

Medicare and Medicaid Providers

Total institutional Medicare and Medicaid providers, including hospitals, nursing facilities, Federally qualified health centers, rural health clinics and community mental health centers for the report area are shown. According to the U.S. Department of Health and Human Services, there were 53 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 53 7 13 12 10 0 Flathead County, 16 3 6 1 1 0 MT Lake County, MT 15 2 3 5 3 0 Lincoln County, MT 13 1 2 6 2 0 Sanders County, MT 9 1 2 0 4 0 Montana 351 67 83 56 55 0 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: County Access to Primary Care Providers (Including Nurses), Rate per 100,000 Population by Tract, CMS 2012

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

Report Area

Persons Receiving Medicare

The total number of persons receiving Medicare is shown, broken down by number over 65 and number of disabled persons receiving Medicare for the report area. The U.S. Department of Health and Human Services reported that a total of 34,995 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 6,896 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 28,099 6,896 34,995 Flathead County, MT 15,589 3,313 18,902 Lake County, MT 5,296 1,111 6,407 Lincoln County, MT 4,440 1,787 6,227 Sanders County, MT 2,774 685 3,459 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: County Access to Primary Care Providers (Including Nurses), Rate per 100,000 Population by Tract, CMS 2012

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

Report Area

Uninsured Population

The uninsured population is calculated by estimating the number of persons eligible for insurance (generally those under 65) minus the estimated number of insured persons. Insurance Percent Uninsured Report Area Number Insured Number Uninsured Percent Uninsured Population Report Area 123,648 92,164 31,484 25.5% Flathead County, 76,576 58,279 18,297 23.9% MT Lake County, MT 23,563 16,567 6,996 29.7% Lincoln County, MT 14,939 11,283 3,656 24.5% Report Area (25.5%) Montana (21.6%) Sanders County, MT 8,570 6,035 2,535 29.6% United States (17%) Montana 828,695 649,965 178,730 21.6% United States 264,246,236 219,286,188 44,960,048 17% Note: This indicator is compared with the state average. Data breakout by demographic groups are not available. Data Source: US Census Bureau, Small Area Health Insurance Estimates. Source geography: County Uninsured Population, Percent by County, SAHIE 2012

Report Area

FOOTNOTES 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 Population data for years 2000 and 2010 from the U.S. Census Bureau Decennial Census. Mapped data are summarized to 2010 census tract boundaries. Population change is calculated using the following formula: Total Change = [Total Population 2010] - [Total Population 2000] Rate Change = ( ( [Total Population 2010] - [Total Population 2000] ) / [Total Population 2000] ) * 100 Age and Gender Demographics Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Race Demographics Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Race and Ethnicity Race and ethnicity (Hispanic origin) are collected as two separate categories in the American Community Survey (ACS) based on methods established by the U.S. Office of Management and Budget (OMB) in 1997. Indicator race and ethnicity statistics are generated from self- identified survey responses. Using the OMB standard, the available race categories in the ACS are: White, Black, American Indian/Alaskan Native, Asian, and Other. An ACS survey respondent may identify as one race alone, or may choose multiple races. Respondents selecting multiple categories are racially identified as “Two or More Races”. The minimum ethnicity categories are: Hispanic or Latino, and Not Hispanic or Latino. Respondents may only choose one ethnicity. All social and economic data are reported in the ACS public use files by race alone, ethnicity alone, and for the white non-Hispanic population. Data Limitations Beginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations have age and sex distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on demographic distribution. This is particularly true for areas with a substantial GQ population (like areas with military bases, colleges, or jails). Veterans, Age and Gender Demographics Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Counts for population subgroups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey (ACS). Data represent estimates for the 5 year period 2009-2013. Data are summarized to 2010 census tract boundaries. Veteran status is classified in the ACS according to yes/no responses to questions 26 and 27. ACS data define civilian veteran as a person 18 years old and over who served (even for a short time), but is not now serving on acting duty in the U.S. Army, Navy, Air Force, Marine Corps or Coast Guard, or who served as a Merchant Marine seaman during World War II. Individuals who have training for Reserves or National Guard but no active duty service are not considered veterans in the ACS. Indicator statistics are measured as a percentage of the population aged 18 years and older using the following formula: Percentage = [Veteran Population] / [Total Population Age 18 and up] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Data Limitations Beginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations have age and sex distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on demographic distribution. This is particularly true for areas with a substantial GQ population (like areas with military bases, colleges, or jails). Poverty Data Background The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data. For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website. Methodology Indicator data are acquired for 2012 from the US Census Bureau's Small Area Income and Poverty Estimates (SAIPE) series. Estimates are modelled by the US Census Bureau using both American Community Survey (ACS) data, as well as SNAP program data and IRS tax statistics. The SAIPE estimates consider a person to be in poverty when their household income is as at or below 100% of the federal poverty level. Poverty rates are calculated as a percentage of the total population based on the following formula: Percentage = [Poverty Population] / [Total Population] * 100

For more information about the data used in these estimates, please visit the Small Area Income and Poverty Estimates website or view the SAIPE Methodology web page. Notes Race and Ethnicity Statistics by race and ethnicity are not provided for this indicator from the data source. Detailed race/ethnicity data may be available at a broader geographic level, or from a local source. Poverty Rate Change Data Background The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data. For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website. Methodology Indicator data are acquired for 2012 from the US Census Bureau's Small Area Income and Poverty Estimates (SAIPE) series. Estimates are modelled by the US Census Bureau using both American Community Survey (ACS) data, as well as SNAP program data and IRS tax statistics. The SAIPE estimates consider a person to be in poverty when their household income is as at or below 100% of the federal poverty level. Poverty rates are calculated as a percentage of the total population based on the following formula: Percentage = [Poverty Population] / [Total Population] * 100

For more information about the data used in these estimates, please visit the Small Area Income and Poverty Estimates website or view the SAIPE Methodology web page. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Households in Poverty Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Poverty Rate (ACS) Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 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 multi-year estimates are based on data collected over 5 years. For any given consecutive release of ACS 5-year estimates, 4 of the 5 years overlap. The Census Bureau discourages direct comparisons between estimates for overlapping periods; use caution when interpreting this data. Race and Ethnicity Race and ethnicity (Hispanic origin) are collected as two separate categories in the American Community Survey (ACS) based on methods established by the U.S. Office of Management and Budget (OMB) in 1997. Indicator race and ethnicity statistics are generated from self- identified survey responses. Using the OMB standard, the available race categories in the ACS are: White, Black, American Indian/Alaskan Native, Asian, and Other. An ACS survey respondent may identify as one race alone, or may choose multiple races. Respondents selecting multiple categories are racially identified as “Two or More Races”. The minimum ethnicity categories are: Hispanic or Latino, and Not Hispanic or Latino. Respondents may only choose one ethnicity. All social and economic data are reported in the ACS public use files by race alone, ethnicity alone, and for the white non-Hispanic population. Data Limitations Beginning in 2006, the population in group quarters (GQ) was included in the ACS. The part of the group quarters population in the poverty universe (for example, people living in group homes or those living in agriculture workers’ dormitories) is many times more likely to be in poverty than people living in households. Direct comparisons of the data would likely result in erroneous conclusions about changes in the poverty status of all people in the poverty universe. Households in Poverty by Family Type Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Household Poverty Rate by Family Type Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Poverty Rate Change (Age 0-17) Data Background The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data. For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website. Methodology Indicator data are acquired for 2012 from the US Census Bureau's Small Area Income and Poverty Estimates (SAIPE) series. Estimates are modelled by the US Census Bureau using both American Community Survey (ACS) data, as well as SNAP program data and IRS tax statistics. The SAIPE estimates consider a person to be in poverty when their household income is as at or below 100% of the federal poverty level. Poverty rates are calculated as a percentage of the total population based on the following formula: Percentage = [Poverty Population] / [Total Population] * 100

For more information about the data used in these estimates, please visit the Small Area Income and Poverty Estimates website or view the SAIPE Methodology web page. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Poverty Rate Change (Age 0-4) Data Background The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data. For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website. Methodology Indicator data are acquired for 2012 from the US Census Bureau's Small Area Income and Poverty Estimates (SAIPE) series. Estimates are modelled by the US Census Bureau using both American Community Survey (ACS) data, as well as SNAP program data and IRS tax statistics. The SAIPE estimates consider a person to be in poverty when their household income is as at or below 100% of the federal poverty level. Poverty rates are calculated as a percentage of the total population based on the following formula: Percentage = [Poverty Population] / [Total Population] * 100

For more information about the data used in these estimates, please visit the Small Area Income and Poverty Estimates website or view the SAIPE Methodology web page. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Poverty Rate Change (Age 5-17) Data Background The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data. For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website. Methodology Indicator data are acquired for 2012 from the US Census Bureau's Small Area Income and Poverty Estimates (SAIPE) series. Estimates are modelled by the US Census Bureau using both American Community Survey (ACS) data, as well as SNAP program data and IRS tax statistics. The SAIPE estimates consider a person to be in poverty when their household income is as at or below 100% of the federal poverty level. Poverty rates are calculated as a percentage of the total population based on the following formula: Percentage = [Poverty Population] / [Total Population] * 100

For more information about the data used in these estimates, please visit the Small Area Income and Poverty Estimates website or view the SAIPE Methodology web page. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Child Poverty Rate (ACS) Ages 0-17 Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Child Poverty Rate (ACS) Ages 0-4 Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Child Poverty Rate (ACS) Ages 5-17 Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Seniors in Poverty Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population based on the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Trends Over Time The American Community Survey (ACS) multi-year estimates are based on data collected over 5 years. The US Census Bureau also performed 10 year counts in 2000 and 2010. Please use caution when comparing 2000 or 2010 Census data to the estimates released through the ACS. Boundary areas may have also changed for sub-county areas. Current Unemployment Data Background The Bureau of Labor Statistics (BLS) is the principal Federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy. Its mission is to collect, analyze, and disseminate essential economic information to support public and private decision-making. As an independent statistical agency, BLS serves its diverse user communities by providing products and services that are objective, timely, accurate, and relevant. Methodology Unemployment statistics are downloaded from the US Bureau of Labor Statistics (BLS) Local Area Unemployment Statistics (LAUS) database. The LAUS is dataset consists of modelled unemployment estimates. It is described by the BLS as follows:

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

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

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

For more information, please visit the Bureau of Labor Statistics Local Area Unemployment Statistics web page. Household Income Data Background The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) provides annual estimates at the state, county, and school district level of income and poverty statistics for the administration of federal programs. This data is used to supplement the income and poverty estimates available from the American Community Survey (ACS), which only releases single-year estimates for counties and other areas with population size of 65,000 or more. SAIPE data is modeled using estimates by combining survey data (from the American Community Survey) with population estimates and administrative records (from the SNAP Benefit Program and SSA Administration). For school districts, the SAIPE program uses the model-based county estimates and inputs from federal tax information and multi-year survey data. For more information, please refer to the US Census Bureau's Small Area Income and Poverty Estimates website. Methodology Total income and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Mapped data are summarized to 2010 census tract boundaries. Per capita income is the mean money income received in the past 12 months computed for every man, woman, and child in a geographic area. It is derived by dividing the total income of all people 15 years old and over in a geographic area by the total population in that area based on the following formula: Per Capita Income = [Total Income of Population Age 15 and up] / [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 acquired 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. Commuter Travel Patterns Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population using the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

For more information on the specific data elements reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Travel Time to Work Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds. Citation: U.S. Census Bureau: A Compass for Understanding and Using American Community Survey Data (2008). For more information about this source, including data collection methodology and definitions, refer to the American Community Survey website. Methodology Population counts for demographic groups and total area population data are acquired from the U.S. Census Bureau’s American Community Survey. Data represent estimates for the 5 year period 2009-2013. Data are summarized to 2010 census tract boundaries. Area demographic statistics are measured as a percentage of the total population using the following formula: Percentage = [Subgroup Population] / [Total Population] * 100

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

For more information, please visit the Bureau of Labor Statistics Local Area Unemployment Statistics web page. Five Year Unemployment Rate Data Background The Bureau of Labor Statistics (BLS) is the principal Federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy. Its mission is to collect, analyze, and disseminate essential economic information to support public and private decision-making. As an independent statistical agency, BLS serves its diverse user communities by providing products and services that are objective, timely, accurate, and relevant. Methodology Unemployment statistics are downloaded from the US Bureau of Labor Statistics (BLS) Local Area Unemployment Statistics (LAUS) database. The LAUS is dataset consists of modelled unemployment estimates. It is described by the BLS as follows:

For more information, please visit the Bureau of Labor Statistics Local Area Unemployment Statistics web page. 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 and up] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Data Limitations Beginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations may have educational attainment distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the educational attainment distribution. This is particularly true for areas with a substantial GQ population. 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. 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 and up] * 100

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Notes Data Limitations Beginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations have age and sex distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on demographic distribution. This is particularly true for areas with a substantial GQ population (like areas with military bases, colleges, or jails). 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. Homeowners Data Background The American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data. The ACS samples nearly 3 million addresses each year, resulting in nearly 2 million final interviews. The ACS replaces the long-form decennial census; however, the number of household surveys reported annually for the ACS is significantly less than the number reported in the long-form decennial census. As a result, the ACS combines detailed population and housing data from multiple years to produce reliable estimates for small counties, neighborhoods, and other local areas. Negotiating between timeliness and accuracy, the ACS annually releases current, one-year estimates for geographic areas with large populations; three-year and five-year estimates are also released each year for additional areas based on minimum population thresholds.

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

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

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2012 Subject Definitions. Notes Race and Ethnicity Statistics by race and ethnicity are not provided for this indicator from the data source. Detailed race/ethnicity data may be available at a broader geographic level, or from a local source. 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. 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.

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

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2012 Subject Definitions. Notes Race and Ethnicity Statistics by race and ethnicity are not provided for this indicator from the data source. Detailed race/ethnicity data may be available at a broader geographic level, or from a local source. 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.

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 and up] / [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 acquired 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. 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 and up] / [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 acquired 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.

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

For more information on the data reported in the American Community Survey, please see the complete American Community Survey 2013 Subject Definitions. Federally Qualified Health Centers Data Background Providers of Service (POS) data is compiled quarterly by Research and Planning Consultants, LP (RPC) for the Centers for Medicare and Medicaid Services (CMS). The Provider of Services (POS) Extract is created from the QIES (Quality Improvement Evaluation System) database. These data include provider number, name, and address and characterize the participating institutional providers. The data are collected through the Centers for Medicare & Medicaid Services (CMS) Regional Offices. The file contains an individual record for each Medicare-approved provider and is updated quarterly. Methodology Population figures are acquired for this indicator from the U.S. Census Bureau, 2010 Decennial Census, Summary File 1. Addresses for all active federally qualified health centers (FQHCs) were acquired from the Centers for Medicare and Medicaid Services (CMS) Providers of Service (POS) data file from June 2014. FQHC addresses were geocoded using the ESRI ArcGIS Online API to obtain the coordinates (point-location) of each facility. The resulting point location file was intersected with standard geographic areas (tracts, counties, and states) to generate a count of the total FQHCs in each area. Medicare and Medicaid Providers Data Background Providers of Service (POS) data is compiled quarterly by Research and Planning Consultants, LP (RPC) for the Centers for Medicare and Medicaid Services (CMS). The Provider of Services (POS) Extract is created from the QIES (Quality Improvement Evaluation System) database. These data include provider number, name, and address and characterize the participating institutional providers. The data are collected through the Centers for Medicare & Medicaid Services (CMS) Regional Offices. The file contains an individual record for each Medicare-approved provider and is updated quarterly. Methodology Population figures are acquired for this indicator from the U.S. Census Bureau, 2010 Decennial Census, Summary File 1. Addresses for all active federally qualified health centers (FQHCs) were acquired from the Centers for Medicare and Medicaid Services (CMS) Providers of Service (POS) data file from June 2014. FQHC addresses were geocoded using the ESRI ArcGIS Online API to obtain the coordinates (point-location) of each facility. The resulting point location file was intersected with standard geographic areas (tracts, counties, and states) to generate a count of the total FQHCs in each area. Persons Receiving Medicare Data Background Providers of Service (POS) data is compiled quarterly by Research and Planning Consultants, LP (RPC) for the Centers for Medicare and Medicaid Services (CMS). The Provider of Services (POS) Extract is created from the QIES (Quality Improvement Evaluation System) database. These data include provider number, name, and address and characterize the participating institutional providers. The data are collected through the Centers for Medicare & Medicaid Services (CMS) Regional Offices. The file contains an individual record for each Medicare-approved provider and is updated quarterly. Methodology Indicator percentages are acquired for 2012 from Centers for Medicare and Medicaid Services (CMS) Chronic Conditions Warehouse. The data used in the chronic condition reports are based upon CMS administrative enrollment and claims data for Medicare beneficiaries enrolled in the fee-for- service program. Beneficiaries who died during the year are included up to their date of death if they meet the other inclusion criteria. Chronic condition prevalence estimates are calculated by CMS by taking the beneficiaries with a particular condition divided by the total number of beneficiaries in our fee-for-service population, expressed as a percentage. For more information and to view the original data, please visit the CMS Chronic Conditions web page. Uninsured Population Data Background The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. It is currently the only dataset providing complete health-insurance coverage estimates. The models predict state and county level insurance estimates for total populations, as well as population groups defined by age, sex, race and income.

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

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

. American Community Survey . Internal Revenue Service: Federal Tax Returns . Supplemental Nutrition Assistance Program (SNAP): Participation Records . County Business Patterns . Medicaid and Children's Health Insurance Program (CHIP): Participation Records . US Census 2010 Methodology Counts of the number of persons without medical insurance are modelled for the Small Area Income and Health Insurance Estimates (SAHIE) datasets by the Census Bureau using both survey and census data. In this reporting platform, indicator percentages are summarized from the SAHIE estimates based on the following formula: Percentage = SUM [Uninsured Population] / SUM [Total Population] * 100

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

Report prepared by Community Commons, May 12, 2015.