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Alta-Dutch Flat Union Elementary School District, CA (0602250) -- DP3 Economic Characteristics
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This section provides a summary of economic characteristics for Alta-Dutch Flat Union Elementary School District, CA 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 | 1,422 | 100.0 | In labor force | 835 | 58.7 | Civilian labor force | 835 | 58.7 | Employed | 784 | 55.1 | Unemployed | 51 | 3.6 | Armed Forces | 0 | 0.0 | Not in labor force | 587 | 41.3 | | | | Civilian labor force | 835 | 58.7 | Percent Unemployed | 6.1 | | | | | Females 16 years and over | 684 | 48.1 | In labor force | 363 | 25.5 | Civilian labor force | 363 | 25.5 | Employed | 358 | 25.2 | | | | Own children under 6 years | 41 | 2.9 | All parents in family in labor force | 26 | 1.8 | | | | Own children 6 to 17 years | 267 | 18.8 | All parents in family in labor force | 224 | 15.8 | | | | COMMUTING TO WORK | | | Workers 16 years and over | 709 | 100.0 | Car, truck, or van -- drove alone | 515 | 72.6 | Car, truck, or van -- carpooled | 100 | 14.1 | Public transportation (excluding taxicab) | 0 | 0.0 | Walked | 0 | 0.0 | Other means | 11 | 1.6 | Worked at home | 83 | 11.7 | | | | Mean travel time to work (minutes) | 38.9 | | | | | OCCUPATION | | | Civilian employed population 16 years and over | 784 | 100.0 | Management, professional, and related occupations | 306 | 39.0 | Service occupations | 115 | 14.7 | Sales and office occupations | 115 | 14.7 | Farming, fishing, and forestry occupations | 0 | 0.0 | Construction, extraction, maintenance, and repair occupations | 145 | 18.5 | Production, transportation, and material moving occupations | 103 | 13.1 | | | | INDUSTRY | | | Civilian employed population 16 years and over | 784 | 100.0 | Agriculture, forestry, fishing and hunting, and mining | 0 | 0.0 | Construction | 136 | 17.3 | Manufacturing | 34 | 4.3 | Wholesale trade | 21 | 2.7 | Retail trade | 55 | 7.0 | Transportation and warehousing, and utilities | 97 | 12.4 | Information | 13 | 1.7 | Finance and insurance, & real estate & rental & leasing | 11 | 1.4 | Professional, scientific & mgmt, & admin & waste mgmt services | 55 | 7.0 | Educational services & health care & social assistance | 127 | 16.2 | Arts, entertainment & recreation & accommodation & food services | 133 | 17.0 | Other services, except public administration | 53 | 6.8 | Public administration | 49 | 6.3 | | | | CLASS OF WORKER | | | Civilian employed population 16 years and over | 784 | 100.0 | Private wage and salary workers | 496 | 63.3 | Government workers | 190 | 24.2 | Self-employed in own not incorporated business workers | 98 | 12.5 | Unpaid family workers | 0 | 0.0 | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | Total households | 716 | 100.0 | Less than $10,000 | 59 | 8.2 | $10,000 to $14,999 | 15 | 2.1 | $15,000 to $24,999 | 86 | 12.0 | $25,000 to $34,999 | 84 | 11.7 | $35,000 to $49,999 | 82 | 11.5 | $50,000 to $74,999 | 149 | 20.8 | $75,000 to $99,999 | 71 | 9.9 | $100,000 to $149,999 | 118 | 16.5 | $150,000 to $199,999 | 26 | 3.6 | $200,000 or more | 26 | 3.6 | Median household income (dollars) | 55,694 | | Mean household income (dollars) | 74,412 | | | | | With earnings | 550 | 76.8 | Mean earnings (dollars) | 72,812 | | With Social Security | 249 | 34.8 | Mean Social Security income (dollars) | 12,304 | | With retirement income | 203 | 28.4 | Mean retirement income (dollars) | 23,514 | | | | | With Supplemental Security Income | 15 | 2.1 | Mean Supplemental Security Income (dollars) | 9,067 | | With cash public assistance income | 0 | 0.0 | Mean cash public assistance income (dollars) | 0 | | With Food Stamp/SNAP benefits in the past 12 months | 0 | 0.0 | | | | Families | 487 | 100.0 | Less than $10,000 | 19 | 3.9 | $10,000 to $14,999 | 0 | 0.0 | $15,000 to $24,999 | 40 | 8.2 | $25,000 to $34,999 | 26 | 5.3 | $35,000 to $49,999 | 63 | 12.9 | $50,000 to $74,999 | 128 | 26.3 | $75,000 to $99,999 | 61 | 12.5 | $100,000 to $149,999 | 98 | 20.1 | $150,000 to $199,999 | 26 | 5.3 | $200,000 or more | 26 | 5.3 | Median family income (dollars) | 70,234 | | Mean family income (dollars) | 92,339 | | | | | Per capita income (dollars) | 32,375 | | | | | Nonfamily households | 229 | 47.0 | Median nonfamily income (dollars) | 26,164 | | Mean nonfamily income (dollars) | 36,194 | | | | | Median earnings for workers (dollars) | 31,125 | | Median earnings for male full-time, year-round workers (dollars) | 51,750 | | Median earnings for female full-time, year-round workers (dollars) | 31,298 | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | All families | 4.5 | | With related children under 18 years | 1.8 | | With related children under 5 years only | 0.0 | | Married couple families | 0.7 | | With related children under 18 years | 2.0 | | With related children under 5 years only | 0.0 | | Families with female householder, no husband present | 0.0 | | With related children under 18 years | 0.0 | | With related children under 5 years only | 0.0 | | | | | All people | 9.0 | | Under 18 years | 1.9 | | Related children under 18 years | 1.9 | | Related children under 5 years | 0.0 | | Related children 5 to 17 years | 2.2 | | 18 years and over | 10.6 | | 18 to 64 years | 10.2 | | 65 years and over | 12.0 | | People in families | 5.9 | | Unrelated individuals 15 years and over | 25.7 | | | | | 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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