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Whitnall School District, WI (5506000)
-- DP3 Economic Characteristics
| | Decision-Making Information | | | ProximityOne
information resources & solutions
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This section provides a summary of economic characteristics for Whitnall School District, WI 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 | 14,601 | 100.0 | | In labor force | 9,813 | 67.2 | | Civilian labor force | 9,813 | 67.2 | | Employed | 9,331 | 63.9 | | Unemployed | 482 | 3.3 | | Armed Forces | 0 | 0.0 | | Not in labor force | 4,788 | 32.8 | | | | | | Civilian labor force | 9,813 | 67.2 | | Percent Unemployed | 4.9 | | | | | | | Females 16 years and over | 7,546 | 51.7 | | In labor force | 4,499 | 30.8 | | Civilian labor force | 4,499 | 30.8 | | Employed | 4,342 | 29.7 | | | | | | Own children under 6 years | 1,067 | 7.3 | | All parents in family in labor force | 720 | 4.9 | | | | | | Own children 6 to 17 years | 2,712 | 18.6 | | All parents in family in labor force | 2,347 | 16.1 | | | | | | COMMUTING TO WORK | | | | Workers 16 years and over | 9,085 | 100.0 | | Car, truck, or van -- drove alone | 8,099 | 89.1 | | Car, truck, or van -- carpooled | 486 | 5.3 | | Public transportation (excluding taxicab) | 95 | 1.0 | | Walked | 100 | 1.1 | | Other means | 94 | 1.0 | | Worked at home | 211 | 2.3 | | | | | | Mean travel time to work (minutes) | 20.8 | | | | | | | OCCUPATION | | | | Civilian employed population 16 years and over | 9,331 | 100.0 | | Management, professional, and related occupations | 4,202 | 45.0 | | Service occupations | 1,171 | 12.5 | | Sales and office occupations | 2,346 | 25.1 | | Farming, fishing, and forestry occupations | 0 | 0.0 | | Construction, extraction, maintenance, and repair occupations | 730 | 7.8 | | Production, transportation, and material moving occupations | 882 | 9.5 | | | | | | INDUSTRY | | | | Civilian employed population 16 years and over | 9,331 | 100.0 | | Agriculture, forestry, fishing and hunting, and mining | 7 | 0.1 | | Construction | 395 | 4.2 | | Manufacturing | 1,529 | 16.4 | | Wholesale trade | 338 | 3.6 | | Retail trade | 1,040 | 11.1 | | Transportation and warehousing, and utilities | 657 | 7.0 | | Information | 290 | 3.1 | | Finance and insurance, & real estate & rental & leasing | 790 | 8.5 | | Professional, scientific & mgmt, & admin & waste mgmt services | 834 | 8.9 | | Educational services & health care & social assistance | 2,160 | 23.1 | | Arts, entertainment & recreation & accommodation & food services | 617 | 6.6 | | Other services, except public administration | 422 | 4.5 | | Public administration | 252 | 2.7 | | | | | | CLASS OF WORKER | | | | Civilian employed population 16 years and over | 9,331 | 100.0 | | Private wage and salary workers | 8,037 | 86.1 | | Government workers | 849 | 9.1 | | Self-employed in own not incorporated business workers | 431 | 4.6 | | Unpaid family workers | 14 | 0.2 | | | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | | Total households | 7,217 | 100.0 | | Less than $10,000 | 130 | 1.8 | | $10,000 to $14,999 | 242 | 3.4 | | $15,000 to $24,999 | 627 | 8.7 | | $25,000 to $34,999 | 867 | 12.0 | | $35,000 to $49,999 | 870 | 12.1 | | $50,000 to $74,999 | 1,432 | 19.8 | | $75,000 to $99,999 | 1,043 | 14.5 | | $100,000 to $149,999 | 1,261 | 17.5 | | $150,000 to $199,999 | 434 | 6.0 | | $200,000 or more | 311 | 4.3 | | Median household income (dollars) | 64,847 | | | Mean household income (dollars) | 78,468 | | | | | | | With earnings | 5,492 | 76.1 | | Mean earnings (dollars) | 81,986 | | | With Social Security | 2,419 | 33.5 | | Mean Social Security income (dollars) | 16,063 | | | With retirement income | 1,804 | 25.0 | | Mean retirement income (dollars) | 18,481 | | | | | | | With Supplemental Security Income | 107 | 1.5 | | Mean Supplemental Security Income (dollars) | 12,358 | | | With cash public assistance income | 28 | 0.4 | | Mean cash public assistance income (dollars) | 2,314 | | | With Food Stamp/SNAP benefits in the past 12 months | 115 | 1.6 | | | | | | Families | 4,615 | 100.0 | | Less than $10,000 | 44 | 1.0 | | $10,000 to $14,999 | 79 | 1.7 | | $15,000 to $24,999 | 191 | 4.1 | | $25,000 to $34,999 | 377 | 8.2 | | $35,000 to $49,999 | 503 | 10.9 | | $50,000 to $74,999 | 816 | 17.7 | | $75,000 to $99,999 | 757 | 16.4 | | $100,000 to $149,999 | 1,186 | 25.7 | | $150,000 to $199,999 | 363 | 7.9 | | $200,000 or more | 299 | 6.5 | | Median family income (dollars) | 85,922 | | | Mean family income (dollars) | 94,882 | | | | | | | Per capita income (dollars) | 32,696 | | | | | | | Nonfamily households | 2,602 | 56.4 | | Median nonfamily income (dollars) | 37,652 | | | Mean nonfamily income (dollars) | 45,567 | | | | | | | Median earnings for workers (dollars) | 38,849 | | | Median earnings for male full-time, year-round workers (dollars) | 52,168 | | | Median earnings for female full-time, year-round workers (dollars) | 45,109 | | | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | | All families | 2.7 | | | With related children under 18 years | 4.8 | | | With related children under 5 years only | 10.0 | | | Married couple families | 0.3 | | | With related children under 18 years | 0.0 | | | With related children under 5 years only | 0.0 | | | Families with female householder, no husband present | 17.2 | | | With related children under 18 years | 27.7 | | | With related children under 5 years only | 83.0 | | | | | | | All people | 3.9 | | | Under 18 years | 5.6 | | | Related children under 18 years | 5.6 | | | Related children under 5 years | 10.2 | | | Related children 5 to 17 years | 4.1 | | | 18 years and over | 3.5 | | | 18 to 64 years | 3.5 | | | 65 years and over | 3.1 | | | People in families | 2.6 | | | Unrelated individuals 15 years and over | 9.1 | | | | | | 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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