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Buellton Union Elementary School District, CA (0606330)
-- DP3 Economic Characteristics
| | Decision-Making Information | | | ProximityOne
information resources & solutions
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This section provides a summary of economic characteristics for Buellton 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 | 3,909 | 100.0 | | In labor force | 2,806 | 71.8 | | Civilian labor force | 2,806 | 71.8 | | Employed | 2,714 | 69.4 | | Unemployed | 92 | 2.4 | | Armed Forces | 0 | 0.0 | | Not in labor force | 1,103 | 28.2 | | | | | | Civilian labor force | 2,806 | 71.8 | | Percent Unemployed | 3.3 | | | | | | | Females 16 years and over | 1,989 | 50.9 | | In labor force | 1,266 | 32.4 | | Civilian labor force | 1,266 | 32.4 | | Employed | 1,222 | 31.3 | | | | | | Own children under 6 years | 413 | 10.6 | | All parents in family in labor force | 292 | 7.5 | | | | | | Own children 6 to 17 years | 798 | 20.4 | | All parents in family in labor force | 553 | 14.1 | | | | | | COMMUTING TO WORK | | | | Workers 16 years and over | 2,635 | 100.0 | | Car, truck, or van -- drove alone | 1,791 | 68.0 | | Car, truck, or van -- carpooled | 445 | 16.9 | | Public transportation (excluding taxicab) | 144 | 5.5 | | Walked | 77 | 2.9 | | Other means | 39 | 1.5 | | Worked at home | 139 | 5.3 | | | | | | Mean travel time to work (minutes) | 21.0 | | | | | | | OCCUPATION | | | | Civilian employed population 16 years and over | 2,714 | 100.0 | | Management, professional, and related occupations | 845 | 31.1 | | Service occupations | 732 | 27.0 | | Sales and office occupations | 771 | 28.4 | | Farming, fishing, and forestry occupations | 11 | 0.4 | | Construction, extraction, maintenance, and repair occupations | 189 | 7.0 | | Production, transportation, and material moving occupations | 166 | 6.1 | | | | | | INDUSTRY | | | | Civilian employed population 16 years and over | 2,714 | 100.0 | | Agriculture, forestry, fishing and hunting, and mining | 84 | 3.1 | | Construction | 152 | 5.6 | | Manufacturing | 268 | 9.9 | | Wholesale trade | 24 | 0.9 | | Retail trade | 274 | 10.1 | | Transportation and warehousing, and utilities | 82 | 3.0 | | Information | 46 | 1.7 | | Finance and insurance, & real estate & rental & leasing | 214 | 7.9 | | Professional, scientific & mgmt, & admin & waste mgmt services | 458 | 16.9 | | Educational services & health care & social assistance | 489 | 18.0 | | Arts, entertainment & recreation & accommodation & food services | 407 | 15.0 | | Other services, except public administration | 118 | 4.3 | | Public administration | 98 | 3.6 | | | | | | CLASS OF WORKER | | | | Civilian employed population 16 years and over | 2,714 | 100.0 | | Private wage and salary workers | 2,113 | 77.9 | | Government workers | 313 | 11.5 | | Self-employed in own not incorporated business workers | 247 | 9.1 | | Unpaid family workers | 41 | 1.5 | | | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | | Total households | 1,714 | 100.0 | | Less than $10,000 | 7 | 0.4 | | $10,000 to $14,999 | 49 | 2.9 | | $15,000 to $24,999 | 145 | 8.5 | | $25,000 to $34,999 | 140 | 8.2 | | $35,000 to $49,999 | 229 | 13.4 | | $50,000 to $74,999 | 303 | 17.7 | | $75,000 to $99,999 | 184 | 10.7 | | $100,000 to $149,999 | 423 | 24.7 | | $150,000 to $199,999 | 158 | 9.2 | | $200,000 or more | 76 | 4.4 | | Median household income (dollars) | 74,403 | | | Mean household income (dollars) | 88,536 | | | | | | | With earnings | 1,446 | 84.4 | | Mean earnings (dollars) | 88,143 | | | With Social Security | 554 | 32.3 | | Mean Social Security income (dollars) | 15,262 | | | With retirement income | 224 | 13.1 | | Mean retirement income (dollars) | 15,957 | | | | | | | With Supplemental Security Income | 10 | 0.6 | | Mean Supplemental Security Income (dollars) | 18,290 | | | 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 | 16 | 0.9 | | | | | | Families | 1,274 | 100.0 | | Less than $10,000 | 18 | 1.4 | | $10,000 to $14,999 | 30 | 2.4 | | $15,000 to $24,999 | 21 | 1.6 | | $25,000 to $34,999 | 61 | 4.8 | | $35,000 to $49,999 | 224 | 17.6 | | $50,000 to $74,999 | 169 | 13.3 | | $75,000 to $99,999 | 152 | 11.9 | | $100,000 to $149,999 | 381 | 29.9 | | $150,000 to $199,999 | 149 | 11.7 | | $200,000 or more | 69 | 5.4 | | Median family income (dollars) | 94,844 | | | Mean family income (dollars) | 99,587 | | | | | | | Per capita income (dollars) | 29,978 | | | | | | | Nonfamily households | 440 | 34.5 | | Median nonfamily income (dollars) | 31,897 | | | Mean nonfamily income (dollars) | 50,216 | | | | | | | Median earnings for workers (dollars) | 32,848 | | | Median earnings for male full-time, year-round workers (dollars) | 47,886 | | | Median earnings for female full-time, year-round workers (dollars) | 42,604 | | | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | | All families | 3.8 | | | With related children under 18 years | 6.7 | | | With related children under 5 years only | 8.9 | | | Married couple families | 2.0 | | | With related children under 18 years | 2.7 | | | With related children under 5 years only | 0.0 | | | Families with female householder, no husband present | 8.7 | | | With related children under 18 years | 16.9 | | | With related children under 5 years only | 55.0 | | | | | | | All people | 3.9 | | | Under 18 years | 7.8 | | | Related children under 18 years | 7.8 | | | Related children under 5 years | 10.4 | | | Related children 5 to 17 years | 6.7 | | | 18 years and over | 2.7 | | | 18 to 64 years | 3.2 | | | 65 years and over | 0.0 | | | People in families | 3.8 | | | Unrelated individuals 15 years and over | 4.6 | | | | | | 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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