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Pretty Prairie Unified School District 311, KS (2010920) -- DP3 Economic Characteristics
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This section provides a summary of economic characteristics for Pretty Prairie Unified School District 311, 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 | 1,451 | 100.0 | In labor force | 1,021 | 70.4 | Civilian labor force | 1,021 | 70.4 | Employed | 1,005 | 69.3 | Unemployed | 16 | 1.1 | Armed Forces | 0 | 0.0 | Not in labor force | 430 | 29.6 | | | | Civilian labor force | 1,021 | 70.4 | Percent Unemployed | 1.6 | | | | | Females 16 years and over | 729 | 50.2 | In labor force | 490 | 33.8 | Civilian labor force | 490 | 33.8 | Employed | 474 | 32.7 | | | | Own children under 6 years | 87 | 6.0 | All parents in family in labor force | 81 | 5.6 | | | | Own children 6 to 17 years | 289 | 19.9 | All parents in family in labor force | 263 | 18.1 | | | | COMMUTING TO WORK | | | Workers 16 years and over | 987 | 100.0 | Car, truck, or van -- drove alone | 804 | 81.5 | Car, truck, or van -- carpooled | 77 | 7.8 | Public transportation (excluding taxicab) | 0 | 0.0 | Walked | 51 | 5.2 | Other means | 6 | 0.6 | Worked at home | 49 | 5.0 | | | | Mean travel time to work (minutes) | 24.0 | | | | | OCCUPATION | | | Civilian employed population 16 years and over | 1,005 | 100.0 | Management, professional, and related occupations | 338 | 33.6 | Service occupations | 144 | 14.3 | Sales and office occupations | 219 | 21.8 | Farming, fishing, and forestry occupations | 71 | 7.1 | Construction, extraction, maintenance, and repair occupations | 101 | 10.0 | Production, transportation, and material moving occupations | 132 | 13.1 | | | | INDUSTRY | | | Civilian employed population 16 years and over | 1,005 | 100.0 | Agriculture, forestry, fishing and hunting, and mining | 138 | 13.7 | Construction | 41 | 4.1 | Manufacturing | 137 | 13.6 | Wholesale trade | 47 | 4.7 | Retail trade | 96 | 9.6 | Transportation and warehousing, and utilities | 53 | 5.3 | Information | 14 | 1.4 | Finance and insurance, & real estate & rental & leasing | 24 | 2.4 | Professional, scientific & mgmt, & admin & waste mgmt services | 81 | 8.1 | Educational services & health care & social assistance | 232 | 23.1 | Arts, entertainment & recreation & accommodation & food services | 40 | 4.0 | Other services, except public administration | 52 | 5.2 | Public administration | 50 | 5.0 | | | | CLASS OF WORKER | | | Civilian employed population 16 years and over | 1,005 | 100.0 | Private wage and salary workers | 694 | 69.1 | Government workers | 184 | 18.3 | Self-employed in own not incorporated business workers | 120 | 11.9 | Unpaid family workers | 7 | 0.7 | | | | INCOME AND BENEFITS (IN 2009 INFLATION-ADJUSTED DOLLARS) | | | Total households | 714 | 100.0 | Less than $10,000 | 19 | 2.7 | $10,000 to $14,999 | 20 | 2.8 | $15,000 to $24,999 | 83 | 11.6 | $25,000 to $34,999 | 97 | 13.6 | $35,000 to $49,999 | 119 | 16.7 | $50,000 to $74,999 | 183 | 25.6 | $75,000 to $99,999 | 100 | 14.0 | $100,000 to $149,999 | 70 | 9.8 | $150,000 to $199,999 | 10 | 1.4 | $200,000 or more | 13 | 1.8 | Median household income (dollars) | 52,262 | | Mean household income (dollars) | 58,868 | | | | | With earnings | 593 | 83.1 | Mean earnings (dollars) | 57,328 | | With Social Security | 223 | 31.2 | Mean Social Security income (dollars) | 14,533 | | With retirement income | 75 | 10.5 | Mean retirement income (dollars) | 17,163 | | | | | With Supplemental Security Income | 2 | 0.3 | Mean Supplemental Security Income (dollars) | 4,250 | | With cash public assistance income | 5 | 0.7 | Mean cash public assistance income (dollars) | 1,120 | | With Food Stamp/SNAP benefits in the past 12 months | 10 | 1.4 | | | | Families | 557 | 100.0 | Less than $10,000 | 5 | 0.9 | $10,000 to $14,999 | 4 | 0.7 | $15,000 to $24,999 | 36 | 6.5 | $25,000 to $34,999 | 72 | 12.9 | $35,000 to $49,999 | 104 | 18.7 | $50,000 to $74,999 | 155 | 27.8 | $75,000 to $99,999 | 92 | 16.5 | $100,000 to $149,999 | 66 | 11.8 | $150,000 to $199,999 | 10 | 1.8 | $200,000 or more | 13 | 2.3 | Median family income (dollars) | 58,403 | | Mean family income (dollars) | 65,787 | | | | | Per capita income (dollars) | 24,008 | | | | | Nonfamily households | 157 | 28.2 | Median nonfamily income (dollars) | 24,712 | | Mean nonfamily income (dollars) | 33,902 | | | | | Median earnings for workers (dollars) | 27,045 | | Median earnings for male full-time, year-round workers (dollars) | 38,938 | | Median earnings for female full-time, year-round workers (dollars) | 26,949 | | | | | PERCENT FAMILIES & PEOPLE WITH INCOME IN PAST 12 MO BELOW POVERTY LEVEL | | | All families | 1.6 | | With related children under 18 years | 0.0 | | With related children under 5 years only | 0.0 | | Married couple families | 1.9 | | With related children under 18 years | 0.0 | | With related children under 5 years only | 0.0 | | Families with female householder, no husband present | 0.0 | | With related children under 18 years | 0.0 | | With related children under 5 years only | 0.0 | | | | | All people | 3.2 | | Under 18 years | 0.0 | | Related children under 18 years | 0.0 | | Related children under 5 years | 0.0 | | Related children 5 to 17 years | 0.0 | | 18 years and over | 4.1 | | 18 to 64 years | 4.2 | | 65 years and over | 3.9 | | People in families | 1.2 | | Unrelated individuals 15 years and over | 18.1 | | | | | 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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