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Metamora Township High School District 122, IL (1725770)
-- DP3 Economic Characteristics
| | Decision-Making Information | | | ProximityOne
information resources & solutions
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This section provides a summary of economic characteristics for Metamora Township High School District 122, IL 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 | 11,993 | 100.0 | | In labor force | 8,214 | 68.5 | | Civilian labor force | 8,179 | 68.2 | | Employed | 7,849 | 65.4 | | Unemployed | 330 | 2.8 | | Armed Forces | 35 | 0.3 | | Not in labor force | 3,779 | 31.5 | | | | | | Civilian labor force | 8,179 | 68.2 | | Percent Unemployed | 4.0 | | | | | | | Females 16 years and over | 6,166 | 51.4 | | In labor force | 3,714 | 31.0 | | Civilian labor force | 3,710 | 30.9 | | Employed | 3,567 | 29.7 | | | | | | Own children under 6 years | 767 | 6.4 | | All parents in family in labor force | 483 | 4.0 | | | | | | Own children 6 to 17 years | 2,775 | 23.1 | | All parents in family in labor force | 1,928 | 16.1 | | | | | | COMMUTING TO WORK | | | | Workers 16 years and over | 7,698 | 100.0 | | Car, truck, or van -- drove alone | 6,656 | 86.5 | | Car, truck, or van -- carpooled | 599 | 7.8 | | Public transportation (excluding taxicab) | 0 | 0.0 | | Walked | 42 | 0.5 | | Other means | 97 | 1.3 | | Worked at home | 304 | 3.9 | | | | | | Mean travel time to work (minutes) | 23.0 | | | | | | | OCCUPATION | | | | Civilian employed population 16 years and over | 7,849 | 100.0 | | Management, professional, and related occupations | 3,583 | 45.6 | | Service occupations | 840 | 10.7 | | Sales and office occupations | 1,895 | 24.1 | | Farming, fishing, and forestry occupations | 5 | 0.1 | | Construction, extraction, maintenance, and repair occupations | 600 | 7.6 | | Production, transportation, and material moving occupations | 926 | 11.8 | | | | | | INDUSTRY | | | | Civilian employed population 16 years and over | 7,849 | 100.0 | | Agriculture, forestry, fishing and hunting, and mining | 144 | 1.8 | | Construction | 413 | 5.3 | | Manufacturing | 1,789 | 22.8 | | Wholesale trade | 203 | 2.6 | | Retail trade | 919 | 11.7 | | Transportation and warehousing, and utilities | 308 | 3.9 | | Information | 177 | 2.3 | | Finance and insurance, & real estate & rental & leasing | 294 | 3.7 | | Professional, scientific & mgmt, & admin & waste mgmt services | 582 | 7.4 | | Educational services & health care & social assistance | 1,845 | 23.5 | | Arts, entertainment & recreation & accommodation & food services | 524 | 6.7 | | Other services, except public administration | 458 | 5.8 | | Public administration | 193 | 2.5 | | | | | | CLASS OF WORKER | | | | Civilian employed population 16 years and over | 7,849 | 100.0 | | Private wage and salary workers | 6,546 | 83.4 | | Government workers | 895 | 11.4 | | Self-employed in own not incorporated business workers | 399 | 5.1 | | Unpaid family workers | 9 | 0.1 | | | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | | Total households | 5,687 | 100.0 | | Less than $10,000 | 149 | 2.6 | | $10,000 to $14,999 | 106 | 1.9 | | $15,000 to $24,999 | 443 | 7.8 | | $25,000 to $34,999 | 436 | 7.7 | | $35,000 to $49,999 | 586 | 10.3 | | $50,000 to $74,999 | 1,166 | 20.5 | | $75,000 to $99,999 | 1,073 | 18.9 | | $100,000 to $149,999 | 1,088 | 19.1 | | $150,000 to $199,999 | 363 | 6.4 | | $200,000 or more | 277 | 4.9 | | Median household income (dollars) | 74,368 | | | Mean household income (dollars) | 91,272 | | | | | | | With earnings | 4,786 | 84.2 | | Mean earnings (dollars) | 91,299 | | | With Social Security | 1,446 | 25.4 | | Mean Social Security income (dollars) | 16,827 | | | With retirement income | 1,333 | 23.4 | | Mean retirement income (dollars) | 19,797 | | | | | | | With Supplemental Security Income | 136 | 2.4 | | Mean Supplemental Security Income (dollars) | 7,151 | | | With cash public assistance income | 23 | 0.4 | | Mean cash public assistance income (dollars) | 1,974 | | | With Food Stamp/SNAP benefits in the past 12 months | 131 | 2.3 | | | | | | Families | 4,436 | 100.0 | | Less than $10,000 | 49 | 1.1 | | $10,000 to $14,999 | 33 | 0.7 | | $15,000 to $24,999 | 170 | 3.8 | | $25,000 to $34,999 | 322 | 7.3 | | $35,000 to $49,999 | 425 | 9.6 | | $50,000 to $74,999 | 951 | 21.4 | | $75,000 to $99,999 | 868 | 19.6 | | $100,000 to $149,999 | 978 | 22.0 | | $150,000 to $199,999 | 363 | 8.2 | | $200,000 or more | 277 | 6.2 | | Median family income (dollars) | 82,347 | | | Mean family income (dollars) | 102,813 | | | | | | | Per capita income (dollars) | 34,863 | | | | | | | Nonfamily households | 1,251 | 28.2 | | Median nonfamily income (dollars) | 39,413 | | | Mean nonfamily income (dollars) | 48,499 | | | | | | | Median earnings for workers (dollars) | 37,101 | | | Median earnings for male full-time, year-round workers (dollars) | 63,145 | | | Median earnings for female full-time, year-round workers (dollars) | 41,352 | | | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | | All families | 2.3 | | | With related children under 18 years | 3.7 | | | With related children under 5 years only | 2.7 | | | Married couple families | 0.8 | | | With related children under 18 years | 1.1 | | | With related children under 5 years only | 3.4 | | | Families with female householder, no husband present | 13.1 | | | With related children under 18 years | 21.8 | | | With related children under 5 years only | 0.0 | | | | | | | All people | 4.5 | | | Under 18 years | 5.3 | | | Related children under 18 years | 4.9 | | | Related children under 5 years | 6.9 | | | Related children 5 to 17 years | 4.4 | | | 18 years and over | 4.3 | | | 18 to 64 years | 4.2 | | | 65 years and over | 4.7 | | | People in families | 2.5 | | | Unrelated individuals 15 years and over | 20.5 | | | | | | 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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