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Lake Mills Area School District, WI (5507710)
-- DP3 Economic Characteristics
| | Decision-Making Information | | | ProximityOne
information resources & solutions
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This section provides a summary of economic characteristics for Lake Mills Area 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 | 6,729 | 100.0 | | In labor force | 4,895 | 72.7 | | Civilian labor force | 4,890 | 72.7 | | Employed | 4,605 | 68.4 | | Unemployed | 285 | 4.2 | | Armed Forces | 5 | 0.1 | | Not in labor force | 1,834 | 27.3 | | | | | | Civilian labor force | 4,890 | 72.7 | | Percent Unemployed | 5.8 | | | | | | | Females 16 years and over | 3,533 | 52.5 | | In labor force | 2,377 | 35.3 | | Civilian labor force | 2,377 | 35.3 | | Employed | 2,257 | 33.5 | | | | | | Own children under 6 years | 703 | 10.4 | | All parents in family in labor force | 552 | 8.2 | | | | | | Own children 6 to 17 years | 1,254 | 18.6 | | All parents in family in labor force | 926 | 13.8 | | | | | | COMMUTING TO WORK | | | | Workers 16 years and over | 4,492 | 100.0 | | Car, truck, or van -- drove alone | 3,506 | 78.0 | | Car, truck, or van -- carpooled | 496 | 11.0 | | Public transportation (excluding taxicab) | 14 | 0.3 | | Walked | 184 | 4.1 | | Other means | 120 | 2.7 | | Worked at home | 172 | 3.8 | | | | | | Mean travel time to work (minutes) | 25.9 | | | | | | | OCCUPATION | | | | Civilian employed population 16 years and over | 4,605 | 100.0 | | Management, professional, and related occupations | 1,659 | 36.0 | | Service occupations | 572 | 12.4 | | Sales and office occupations | 1,146 | 24.9 | | Farming, fishing, and forestry occupations | 25 | 0.5 | | Construction, extraction, maintenance, and repair occupations | 350 | 7.6 | | Production, transportation, and material moving occupations | 853 | 18.5 | | | | | | INDUSTRY | | | | Civilian employed population 16 years and over | 4,605 | 100.0 | | Agriculture, forestry, fishing and hunting, and mining | 99 | 2.1 | | Construction | 244 | 5.3 | | Manufacturing | 1,020 | 22.1 | | Wholesale trade | 218 | 4.7 | | Retail trade | 496 | 10.8 | | Transportation and warehousing, and utilities | 218 | 4.7 | | Information | 104 | 2.3 | | Finance and insurance, & real estate & rental & leasing | 381 | 8.3 | | Professional, scientific & mgmt, & admin & waste mgmt services | 325 | 7.1 | | Educational services & health care & social assistance | 928 | 20.2 | | Arts, entertainment & recreation & accommodation & food services | 220 | 4.8 | | Other services, except public administration | 150 | 3.3 | | Public administration | 202 | 4.4 | | | | | | CLASS OF WORKER | | | | Civilian employed population 16 years and over | 4,605 | 100.0 | | Private wage and salary workers | 3,616 | 78.5 | | Government workers | 671 | 14.6 | | Self-employed in own not incorporated business workers | 298 | 6.5 | | Unpaid family workers | 20 | 0.4 | | | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | | Total households | 3,503 | 100.0 | | Less than $10,000 | 164 | 4.7 | | $10,000 to $14,999 | 74 | 2.1 | | $15,000 to $24,999 | 392 | 11.2 | | $25,000 to $34,999 | 381 | 10.9 | | $35,000 to $49,999 | 427 | 12.2 | | $50,000 to $74,999 | 595 | 17.0 | | $75,000 to $99,999 | 715 | 20.4 | | $100,000 to $149,999 | 529 | 15.1 | | $150,000 to $199,999 | 122 | 3.5 | | $200,000 or more | 104 | 3.0 | | Median household income (dollars) | 61,588 | | | Mean household income (dollars) | 72,326 | | | | | | | With earnings | 2,801 | 80.0 | | Mean earnings (dollars) | 72,810 | | | With Social Security | 981 | 28.0 | | Mean Social Security income (dollars) | 16,247 | | | With retirement income | 661 | 18.9 | | Mean retirement income (dollars) | 17,497 | | | | | | | With Supplemental Security Income | 73 | 2.1 | | Mean Supplemental Security Income (dollars) | 8,093 | | | With cash public assistance income | 46 | 1.3 | | Mean cash public assistance income (dollars) | 1,067 | | | With Food Stamp/SNAP benefits in the past 12 months | 122 | 3.5 | | | | | | Families | 2,409 | 100.0 | | Less than $10,000 | 32 | 1.3 | | $10,000 to $14,999 | 3 | 0.1 | | $15,000 to $24,999 | 120 | 5.0 | | $25,000 to $34,999 | 188 | 7.8 | | $35,000 to $49,999 | 209 | 8.7 | | $50,000 to $74,999 | 497 | 20.6 | | $75,000 to $99,999 | 618 | 25.7 | | $100,000 to $149,999 | 524 | 21.8 | | $150,000 to $199,999 | 120 | 5.0 | | $200,000 or more | 98 | 4.1 | | Median family income (dollars) | 82,008 | | | Mean family income (dollars) | 89,446 | | | | | | | Per capita income (dollars) | 29,610 | | | | | | | Nonfamily households | 1,094 | 45.4 | | Median nonfamily income (dollars) | 25,933 | | | Mean nonfamily income (dollars) | 32,673 | | | | | | | Median earnings for workers (dollars) | 32,389 | | | Median earnings for male full-time, year-round workers (dollars) | 50,750 | | | Median earnings for female full-time, year-round workers (dollars) | 37,308 | | | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | | All families | 1.9 | | | With related children under 18 years | 2.9 | | | With related children under 5 years only | 5.8 | | | Married couple families | 1.8 | | | With related children under 18 years | 2.4 | | | With related children under 5 years only | 6.4 | | | Families with female householder, no husband present | 1.5 | | | With related children under 18 years | 3.8 | | | With related children under 5 years only | 0.0 | | | | | | | All people | 4.1 | | | Under 18 years | 3.8 | | | Related children under 18 years | 3.3 | | | Related children under 5 years | 7.3 | | | Related children 5 to 17 years | 1.8 | | | 18 years and over | 4.2 | | | 18 to 64 years | 3.1 | | | 65 years and over | 9.3 | | | People in families | 2.3 | | | Unrelated individuals 15 years and over | 14.3 | | | | | | 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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