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Custer K-12 Schools, MT (3008130) -- DP3 Economic Characteristics
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This section provides a summary of economic characteristics for Custer K-12 Schools, MT based on the 2009 American Community Survey. See related sections General Demographics, Social Characteristics and Housing Characteristics.
-- Table/Item -- | Value | Percent | EMPLOYMENT STATUS | | | Population 16 years and over | 349 | 100.0 | In labor force | 223 | 63.9 | Civilian labor force | 223 | 63.9 | Employed | 211 | 60.5 | Unemployed | 12 | 3.4 | Armed Forces | 0 | 0.0 | Not in labor force | 126 | 36.1 | | | | Civilian labor force | 223 | 63.9 | Percent Unemployed | 5.4 | | | | | Females 16 years and over | 182 | 52.1 | In labor force | 131 | 37.5 | Civilian labor force | 131 | 37.5 | Employed | 128 | 36.7 | | | | Own children under 6 years | 14 | 4.0 | All parents in family in labor force | 8 | 2.3 | | | | Own children 6 to 17 years | 49 | 14.0 | All parents in family in labor force | 30 | 8.6 | | | | COMMUTING TO WORK | | | Workers 16 years and over | 196 | 100.0 | Car, truck, or van -- drove alone | 104 | 53.1 | Car, truck, or van -- carpooled | 19 | 9.7 | Public transportation (excluding taxicab) | 0 | 0.0 | Walked | 47 | 24.0 | Other means | 3 | 1.5 | Worked at home | 23 | 11.7 | | | | Mean travel time to work (minutes) | 12.8 | | | | | OCCUPATION | | | Civilian employed population 16 years and over | 211 | 100.0 | Management, professional, and related occupations | 104 | 49.3 | Service occupations | 30 | 14.2 | Sales and office occupations | 30 | 14.2 | Farming, fishing, and forestry occupations | 13 | 6.2 | Construction, extraction, maintenance, and repair occupations | 17 | 8.1 | Production, transportation, and material moving occupations | 17 | 8.1 | | | | INDUSTRY | | | Civilian employed population 16 years and over | 211 | 100.0 | Agriculture, forestry, fishing and hunting, and mining | 55 | 26.1 | Construction | 11 | 5.2 | Manufacturing | 3 | 1.4 | Wholesale trade | 0 | 0.0 | Retail trade | 14 | 6.6 | Transportation and warehousing, and utilities | 13 | 6.2 | Information | 0 | 0.0 | Finance and insurance, & real estate & rental & leasing | 3 | 1.4 | Professional, scientific & mgmt, & admin & waste mgmt services | 4 | 1.9 | Educational services & health care & social assistance | 93 | 44.1 | Arts, entertainment & recreation & accommodation & food services | 8 | 3.8 | Other services, except public administration | 7 | 3.3 | Public administration | 0 | 0.0 | | | | CLASS OF WORKER | | | Civilian employed population 16 years and over | 211 | 100.0 | Private wage and salary workers | 72 | 34.1 | Government workers | 97 | 46.0 | Self-employed in own not incorporated business workers | 39 | 18.5 | Unpaid family workers | 3 | 1.4 | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | Total households | 213 | 100.0 | Less than $10,000 | 19 | 8.9 | $10,000 to $14,999 | 8 | 3.8 | $15,000 to $24,999 | 38 | 17.8 | $25,000 to $34,999 | 11 | 5.2 | $35,000 to $49,999 | 93 | 43.7 | $50,000 to $74,999 | 33 | 15.5 | $75,000 to $99,999 | 6 | 2.8 | $100,000 to $149,999 | 5 | 2.3 | $150,000 to $199,999 | 0 | 0.0 | $200,000 or more | 0 | 0.0 | Median household income (dollars) | 36,589 | | Mean household income (dollars) | 37,247 | | | | | With earnings | 172 | 80.8 | Mean earnings (dollars) | 36,665 | | With Social Security | 54 | 25.4 | Mean Social Security income (dollars) | 13,687 | | With retirement income | 23 | 10.8 | Mean retirement income (dollars) | 11,691 | | | | | With Supplemental Security Income | 10 | 4.7 | Mean Supplemental Security Income (dollars) | 6,620 | | With cash public assistance income | 8 | 3.8 | Mean cash public assistance income (dollars) | 3,213 | | With Food Stamp/SNAP benefits in the past 12 months | 9 | 4.2 | | | | Families | 101 | 100.0 | Less than $10,000 | 4 | 4.0 | $10,000 to $14,999 | 2 | 2.0 | $15,000 to $24,999 | 22 | 21.8 | $25,000 to $34,999 | 5 | 5.0 | $35,000 to $49,999 | 31 | 30.7 | $50,000 to $74,999 | 26 | 25.7 | $75,000 to $99,999 | 6 | 5.9 | $100,000 to $149,999 | 5 | 5.0 | $150,000 to $199,999 | 0 | 0.0 | $200,000 or more | 0 | 0.0 | Median family income (dollars) | 39,732 | | Mean family income (dollars) | 44,862 | | | | | Per capita income (dollars) | 20,772 | | | | | Nonfamily households | 112 | 110.9 | Median nonfamily income (dollars) | 35,756 | | Mean nonfamily income (dollars) | 30,379 | | | | | Median earnings for workers (dollars) | 28,194 | | Median earnings for male full-time, year-round workers (dollars) | 37,917 | | Median earnings for female full-time, year-round workers (dollars) | 24,861 | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | All families | 18.8 | | With related children under 18 years | 34.9 | | With related children under 5 years only | 0.0 | | Married couple families | 16.5 | | With related children under 18 years | 35.1 | | With related children under 5 years only | 0.0 | | Families with female householder, no husband present | 50.0 | | With related children under 18 years | 50.0 | | With related children under 5 years only | 0.0 | | | | | All people | 17.5 | | Under 18 years | 24.6 | | Related children under 18 years | 24.6 | | Related children under 5 years | 14.3 | | Related children 5 to 17 years | 27.5 | | 18 years and over | 16.1 | | 18 to 64 years | 16.7 | | 65 years and over | 13.0 | | People in families | 18.5 | | Unrelated individuals 15 years and over | 14.9 | | | | | Developed by ProximityOne; Census Bureau ACS 2009 Estimates | | |
Additional Information
Proximity develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses.
Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data.
Contact Proximity (888-364-7656) with questions about data covered in this section or to discuss
custom estimates, projections or analyses for your areas of interest.
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