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Wathena Unified School District 406, KS (2012750) -- DP3 Economic Characteristics
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This section provides a summary of economic characteristics for Wathena Unified School District 406, KS 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 | 1,672 | 100.0 | In labor force | 1,044 | 62.4 | Civilian labor force | 1,044 | 62.4 | Employed | 965 | 57.7 | Unemployed | 79 | 4.7 | Armed Forces | 0 | 0.0 | Not in labor force | 628 | 37.6 | | | | Civilian labor force | 1,044 | 62.4 | Percent Unemployed | 7.6 | | | | | Females 16 years and over | 895 | 53.5 | In labor force | 441 | 26.4 | Civilian labor force | 441 | 26.4 | Employed | 407 | 24.3 | | | | Own children under 6 years | 112 | 6.7 | All parents in family in labor force | 24 | 1.4 | | | | Own children 6 to 17 years | 320 | 19.1 | All parents in family in labor force | 242 | 14.5 | | | | COMMUTING TO WORK | | | Workers 16 years and over | 958 | 100.0 | Car, truck, or van -- drove alone | 811 | 84.7 | Car, truck, or van -- carpooled | 71 | 7.4 | Public transportation (excluding taxicab) | 5 | 0.5 | Walked | 7 | 0.7 | Other means | 8 | 0.8 | Worked at home | 56 | 5.8 | | | | Mean travel time to work (minutes) | 19.2 | | | | | OCCUPATION | | | Civilian employed population 16 years and over | 965 | 100.0 | Management, professional, and related occupations | 259 | 26.8 | Service occupations | 138 | 14.3 | Sales and office occupations | 214 | 22.2 | Farming, fishing, and forestry occupations | 7 | 0.7 | Construction, extraction, maintenance, and repair occupations | 108 | 11.2 | Production, transportation, and material moving occupations | 239 | 24.8 | | | | INDUSTRY | | | Civilian employed population 16 years and over | 965 | 100.0 | Agriculture, forestry, fishing and hunting, and mining | 34 | 3.5 | Construction | 95 | 9.8 | Manufacturing | 212 | 22.0 | Wholesale trade | 39 | 4.0 | Retail trade | 90 | 9.3 | Transportation and warehousing, and utilities | 77 | 8.0 | Information | 19 | 2.0 | Finance and insurance, & real estate & rental & leasing | 60 | 6.2 | Professional, scientific & mgmt, & admin & waste mgmt services | 41 | 4.2 | Educational services & health care & social assistance | 207 | 21.5 | Arts, entertainment & recreation & accommodation & food services | 21 | 2.2 | Other services, except public administration | 64 | 6.6 | Public administration | 6 | 0.6 | | | | CLASS OF WORKER | | | Civilian employed population 16 years and over | 965 | 100.0 | Private wage and salary workers | 782 | 81.0 | Government workers | 80 | 8.3 | Self-employed in own not incorporated business workers | 103 | 10.7 | Unpaid family workers | 0 | 0.0 | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | Total households | 873 | 100.0 | Less than $10,000 | 82 | 9.4 | $10,000 to $14,999 | 86 | 9.9 | $15,000 to $24,999 | 133 | 15.2 | $25,000 to $34,999 | 77 | 8.8 | $35,000 to $49,999 | 155 | 17.8 | $50,000 to $74,999 | 173 | 19.8 | $75,000 to $99,999 | 77 | 8.8 | $100,000 to $149,999 | 50 | 5.7 | $150,000 to $199,999 | 30 | 3.4 | $200,000 or more | 10 | 1.1 | Median household income (dollars) | 40,772 | | Mean household income (dollars) | 51,826 | | | | | With earnings | 674 | 77.2 | Mean earnings (dollars) | 55,285 | | With Social Security | 323 | 37.0 | Mean Social Security income (dollars) | 13,453 | | With retirement income | 149 | 17.1 | Mean retirement income (dollars) | 11,532 | | | | | With Supplemental Security Income | 35 | 4.0 | Mean Supplemental Security Income (dollars) | 9,300 | | With cash public assistance income | 22 | 2.5 | Mean cash public assistance income (dollars) | 2,391 | | With Food Stamp/SNAP benefits in the past 12 months | 86 | 9.9 | | | | Families | 551 | 100.0 | Less than $10,000 | 44 | 8.0 | $10,000 to $14,999 | 12 | 2.2 | $15,000 to $24,999 | 47 | 8.5 | $25,000 to $34,999 | 44 | 8.0 | $35,000 to $49,999 | 108 | 19.6 | $50,000 to $74,999 | 138 | 25.0 | $75,000 to $99,999 | 71 | 12.9 | $100,000 to $149,999 | 50 | 9.1 | $150,000 to $199,999 | 30 | 5.4 | $200,000 or more | 7 | 1.3 | Median family income (dollars) | 54,485 | | Mean family income (dollars) | 65,068 | | | | | Per capita income (dollars) | 22,381 | | | | | Nonfamily households | 322 | 58.4 | Median nonfamily income (dollars) | 21,500 | | Mean nonfamily income (dollars) | 28,516 | | | | | Median earnings for workers (dollars) | 25,082 | | Median earnings for male full-time, year-round workers (dollars) | 35,750 | | Median earnings for female full-time, year-round workers (dollars) | 28,011 | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | All families | 11.1 | | With related children under 18 years | 24.7 | | With related children under 5 years only | 48.9 | | Married couple families | 7.6 | | With related children under 18 years | 19.2 | | With related children under 5 years only | 48.9 | | Families with female householder, no husband present | 30.7 | | With related children under 18 years | 35.5 | | With related children under 5 years only | 0.0 | | | | | All people | 13.8 | | Under 18 years | 21.8 | | Related children under 18 years | 21.8 | | Related children under 5 years | 43.5 | | Related children 5 to 17 years | 16.0 | | 18 years and over | 11.7 | | 18 to 64 years | 13.0 | | 65 years and over | 7.0 | | People in families | 12.5 | | Unrelated individuals 15 years and over | 19.4 | | | | | 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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