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Okaw Valley Community Unit School District 302, IL (1700223)
-- DP3 Economic Characteristics
| | Decision-Making Information | | | ProximityOne
information resources & solutions
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This section provides a summary of economic characteristics for Okaw Valley Community Unit School District 302, 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 | 2,741 | 100.0 | | In labor force | 1,805 | 65.9 | | Civilian labor force | 1,803 | 65.8 | | Employed | 1,693 | 61.8 | | Unemployed | 110 | 4.0 | | Armed Forces | 2 | 0.1 | | Not in labor force | 936 | 34.1 | | | | | | Civilian labor force | 1,803 | 65.8 | | Percent Unemployed | 6.1 | | | | | | | Females 16 years and over | 1,365 | 49.8 | | In labor force | 827 | 30.2 | | Civilian labor force | 827 | 30.2 | | Employed | 794 | 29.0 | | | | | | Own children under 6 years | 334 | 12.2 | | All parents in family in labor force | 172 | 6.3 | | | | | | Own children 6 to 17 years | 579 | 21.1 | | All parents in family in labor force | 396 | 14.4 | | | | | | COMMUTING TO WORK | | | | Workers 16 years and over | 1,632 | 100.0 | | Car, truck, or van -- drove alone | 1,378 | 84.4 | | Car, truck, or van -- carpooled | 104 | 6.4 | | Public transportation (excluding taxicab) | 0 | 0.0 | | Walked | 24 | 1.5 | | Other means | 9 | 0.6 | | Worked at home | 117 | 7.2 | | | | | | Mean travel time to work (minutes) | 25.9 | | | | | | | OCCUPATION | | | | Civilian employed population 16 years and over | 1,693 | 100.0 | | Management, professional, and related occupations | 474 | 28.0 | | Service occupations | 293 | 17.3 | | Sales and office occupations | 338 | 20.0 | | Farming, fishing, and forestry occupations | 15 | 0.9 | | Construction, extraction, maintenance, and repair occupations | 158 | 9.3 | | Production, transportation, and material moving occupations | 415 | 24.5 | | | | | | INDUSTRY | | | | Civilian employed population 16 years and over | 1,693 | 100.0 | | Agriculture, forestry, fishing and hunting, and mining | 42 | 2.5 | | Construction | 175 | 10.3 | | Manufacturing | 337 | 19.9 | | Wholesale trade | 52 | 3.1 | | Retail trade | 174 | 10.3 | | Transportation and warehousing, and utilities | 111 | 6.6 | | Information | 24 | 1.4 | | Finance and insurance, & real estate & rental & leasing | 95 | 5.6 | | Professional, scientific & mgmt, & admin & waste mgmt services | 129 | 7.6 | | Educational services & health care & social assistance | 270 | 15.9 | | Arts, entertainment & recreation & accommodation & food services | 161 | 9.5 | | Other services, except public administration | 92 | 5.4 | | Public administration | 31 | 1.8 | | | | | | CLASS OF WORKER | | | | Civilian employed population 16 years and over | 1,693 | 100.0 | | Private wage and salary workers | 1,442 | 85.2 | | Government workers | 107 | 6.3 | | Self-employed in own not incorporated business workers | 142 | 8.4 | | Unpaid family workers | 2 | 0.1 | | | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | | Total households | 1,511 | 100.0 | | Less than $10,000 | 85 | 5.6 | | $10,000 to $14,999 | 127 | 8.4 | | $15,000 to $24,999 | 216 | 14.3 | | $25,000 to $34,999 | 237 | 15.7 | | $35,000 to $49,999 | 247 | 16.3 | | $50,000 to $74,999 | 288 | 19.1 | | $75,000 to $99,999 | 151 | 10.0 | | $100,000 to $149,999 | 79 | 5.2 | | $150,000 to $199,999 | 47 | 3.1 | | $200,000 or more | 34 | 2.3 | | Median household income (dollars) | 41,048 | | | Mean household income (dollars) | 53,779 | | | | | | | With earnings | 1,213 | 80.3 | | Mean earnings (dollars) | 54,955 | | | With Social Security | 440 | 29.1 | | Mean Social Security income (dollars) | 17,364 | | | With retirement income | 255 | 16.9 | | Mean retirement income (dollars) | 16,880 | | | | | | | With Supplemental Security Income | 12 | 0.8 | | Mean Supplemental Security Income (dollars) | 7,758 | | | With cash public assistance income | 41 | 2.7 | | Mean cash public assistance income (dollars) | 1,676 | | | With Food Stamp/SNAP benefits in the past 12 months | 37 | 2.4 | | | | | | Families | 1,044 | 100.0 | | Less than $10,000 | 22 | 2.1 | | $10,000 to $14,999 | 69 | 6.6 | | $15,000 to $24,999 | 110 | 10.5 | | $25,000 to $34,999 | 108 | 10.3 | | $35,000 to $49,999 | 181 | 17.3 | | $50,000 to $74,999 | 265 | 25.4 | | $75,000 to $99,999 | 133 | 12.7 | | $100,000 to $149,999 | 75 | 7.2 | | $150,000 to $199,999 | 47 | 4.5 | | $200,000 or more | 34 | 3.3 | | Median family income (dollars) | 51,667 | | | Mean family income (dollars) | 64,774 | | | | | | | Per capita income (dollars) | 22,887 | | | | | | | Nonfamily households | 467 | 44.7 | | Median nonfamily income (dollars) | 24,901 | | | Mean nonfamily income (dollars) | 27,671 | | | | | | | Median earnings for workers (dollars) | 26,970 | | | Median earnings for male full-time, year-round workers (dollars) | 41,675 | | | Median earnings for female full-time, year-round workers (dollars) | 22,500 | | | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | | All families | 10.8 | | | With related children under 18 years | 18.1 | | | With related children under 5 years only | 42.6 | | | Married couple families | 3.9 | | | With related children under 18 years | 5.4 | | | With related children under 5 years only | 2.2 | | | Families with female householder, no husband present | 41.9 | | | With related children under 18 years | 50.0 | | | With related children under 5 years only | 100.0 | | | | | | | All people | 11.1 | | | Under 18 years | 11.6 | | | Related children under 18 years | 11.6 | | | Related children under 5 years | 21.6 | | | Related children 5 to 17 years | 6.6 | | | 18 years and over | 11.0 | | | 18 to 64 years | 12.3 | | | 65 years and over | 5.9 | | | People in families | 9.9 | | | Unrelated individuals 15 years and over | 18.4 | | | | | | 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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