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Plumas Elementary School District, CA (0631180) -- DP3 Economic Characteristics
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This section provides a summary of economic characteristics for Plumas 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 | 1,789 | 100.0 | In labor force | 1,330 | 74.3 | Civilian labor force | 1,249 | 69.8 | Employed | 1,210 | 67.6 | Unemployed | 39 | 2.2 | Armed Forces | 81 | 4.5 | Not in labor force | 459 | 25.7 | | | | Civilian labor force | 1,249 | 69.8 | Percent Unemployed | 3.1 | | | | | Females 16 years and over | 865 | 48.4 | In labor force | 571 | 31.9 | Civilian labor force | 571 | 31.9 | Employed | 536 | 30.0 | | | | Own children under 6 years | 510 | 28.5 | All parents in family in labor force | 442 | 24.7 | | | | Own children 6 to 17 years | 646 | 36.1 | All parents in family in labor force | 483 | 27.0 | | | | COMMUTING TO WORK | | | Workers 16 years and over | 1,179 | 100.0 | Car, truck, or van -- drove alone | 898 | 76.2 | Car, truck, or van -- carpooled | 204 | 17.3 | Public transportation (excluding taxicab) | 0 | 0.0 | Walked | 19 | 1.6 | Other means | 2 | 0.2 | Worked at home | 56 | 4.7 | | | | Mean travel time to work (minutes) | 34.4 | | | | | OCCUPATION | | | Civilian employed population 16 years and over | 1,210 | 100.0 | Management, professional, and related occupations | 549 | 45.4 | Service occupations | 130 | 10.7 | Sales and office occupations | 251 | 20.7 | Farming, fishing, and forestry occupations | 17 | 1.4 | Construction, extraction, maintenance, and repair occupations | 62 | 5.1 | Production, transportation, and material moving occupations | 201 | 16.6 | | | | INDUSTRY | | | Civilian employed population 16 years and over | 1,210 | 100.0 | Agriculture, forestry, fishing and hunting, and mining | 25 | 2.1 | Construction | 125 | 10.3 | Manufacturing | 41 | 3.4 | Wholesale trade | 132 | 10.9 | Retail trade | 49 | 4.0 | Transportation and warehousing, and utilities | 122 | 10.1 | Information | 55 | 4.5 | Finance and insurance, & real estate & rental & leasing | 15 | 1.2 | Professional, scientific & mgmt, & admin & waste mgmt services | 122 | 10.1 | Educational services & health care & social assistance | 159 | 13.1 | Arts, entertainment & recreation & accommodation & food services | 80 | 6.6 | Other services, except public administration | 9 | 0.7 | Public administration | 276 | 22.8 | | | | CLASS OF WORKER | | | Civilian employed population 16 years and over | 1,210 | 100.0 | Private wage and salary workers | 768 | 63.5 | Government workers | 354 | 29.3 | Self-employed in own not incorporated business workers | 88 | 7.3 | Unpaid family workers | 0 | 0.0 | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | Total households | 829 | 100.0 | Less than $10,000 | 5 | 0.6 | $10,000 to $14,999 | 12 | 1.4 | $15,000 to $24,999 | 9 | 1.1 | $25,000 to $34,999 | 26 | 3.1 | $35,000 to $49,999 | 10 | 1.2 | $50,000 to $74,999 | 183 | 22.1 | $75,000 to $99,999 | 221 | 26.7 | $100,000 to $149,999 | 300 | 36.2 | $150,000 to $199,999 | 19 | 2.3 | $200,000 or more | 44 | 5.3 | Median household income (dollars) | 90,329 | | Mean household income (dollars) | 110,456 | | | | | With earnings | 768 | 92.6 | Mean earnings (dollars) | 107,956 | | With Social Security | 141 | 17.0 | Mean Social Security income (dollars) | 15,060 | | With retirement income | 86 | 10.4 | Mean retirement income (dollars) | 23,298 | | | | | With Supplemental Security Income | 55 | 6.6 | Mean Supplemental Security Income (dollars) | 11,915 | | 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 | 2 | 0.2 | | | | Families | 669 | 100.0 | Less than $10,000 | 2 | 0.3 | $10,000 to $14,999 | 11 | 1.6 | $15,000 to $24,999 | 47 | 7.0 | $25,000 to $34,999 | 21 | 3.1 | $35,000 to $49,999 | 9 | 1.3 | $50,000 to $74,999 | 148 | 22.1 | $75,000 to $99,999 | 136 | 20.3 | $100,000 to $149,999 | 232 | 34.7 | $150,000 to $199,999 | 19 | 2.8 | $200,000 or more | 44 | 6.6 | Median family income (dollars) | 90,768 | | Mean family income (dollars) | 111,807 | | | | | Per capita income (dollars) | 30,389 | | | | | Nonfamily households | 160 | 23.9 | Median nonfamily income (dollars) | 81,310 | | Mean nonfamily income (dollars) | 87,768 | | | | | Median earnings for workers (dollars) | 54,653 | | Median earnings for male full-time, year-round workers (dollars) | 62,625 | | Median earnings for female full-time, year-round workers (dollars) | 54,153 | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | All families | 9.6 | | With related children under 18 years | 9.9 | | With related children under 5 years only | 0.0 | | Married couple families | 1.1 | | With related children under 18 years | 0.9 | | With related children under 5 years only | 0.0 | | Families with female householder, no husband present | 96.7 | | With related children under 18 years | 100.0 | | With related children under 5 years only | 0.0 | | | | | All people | 10.5 | | Under 18 years | 13.8 | | Related children under 18 years | 13.8 | | Related children under 5 years | 24.1 | | Related children 5 to 17 years | 6.6 | | 18 years and over | 8.3 | | 18 to 64 years | 7.8 | | 65 years and over | 14.4 | | People in families | 9.6 | | Unrelated individuals 15 years and over | 18.5 | | | | | 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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