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PUMA 2012 Demographic-Economic Interactive Table -- Public Use Microdata Area Economic Characteristics
The U.S. national scope Public Use Microdata Area (PUMA) 2012 Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each 2010 PUMA organized into four subject matter groups: • General Demographics • Social Characteristics • Economic Characteristics (this section) • Housing Characteristics These data are based on the American Community Survey (ACS) 2012 1-year estimates. More about these data. See similar ranking tables: Census Tracts | School Districts | Cities | ZIP Codes | State, Metro & County. Use the interactive ranking table in this section to view, query, rank, compare economic characteristics of these areas. The scroll box shown below lists each of the subject matter items available for each area via the ranking table. The number at the left of the subject matter item is also used as the short name for the subject matter item in the column header in the ranking table. Use the CV APIGateway for more detail, alternative formats and data extraction. Economic Characteristics Items -- scroll section
EMPLOYMENT STATUS
E001 Population 16 years and over E002 In labor force E003 Civilian labor force E004 Employed E005 Unemployed E006 Armed Forces E007 Not in labor force E008 Civilian labor force E009 Percent Unemployed E010 Females 16 years and over E011 In labor force E012 Civilian labor force E013 Employed E014 Own children under 6 years E015 All parents in family in labor force E016 Own children 6 to 17 years E017 All parents in family in labor force COMMUTING TO WORK E018 Workers 16 years and over E019 Car, truck, or van -- drove alone E020 Car, truck, or van -- carpooled E021 Public transportation (excluding taxicab) E022 Walked E023 Other means E024 Worked at home E025 Mean travel time to work (minutes) OCCUPATION E026 Civilian employed population 16 years and over E027 Management, business, science, and arts occupations E028 Service occupations E029 Sales and office occupations E030 Natural resources, construction, and maintenance occupations E031 Production, transportation, and material moving occupations INDUSTRY E032 Civilian employed population 16 years and over E033 Agriculture, forestry, fishing and hunting, and mining E034 Construction E035 Manufacturing E036 Wholesale trade E037 Retail trade E038 Transportation and warehousing, and utilities E039 Information E040 Finance and insurance, and real estate and rental and leasing E041 Professional, scientific, and management, and administrative and waste management services E042 Educational services, and health care and social assistance E043 Arts, entertainment, and recreation, and accommodation and food services E044 Other services, except public administration E045 Public administration CLASS OF WORKER E046 Civilian employed population 16 years and over E047 Private wage and salary workers E048 Government workers E049 Self-employed in own not incorporated business workers E050 Unpaid family workers INCOME AND BENEFITS (IN 2010 INFLATION-ADJUSTED DOLLARS) E051 Total households E052 Less than $10,000 E053 $10,000 to $14,999 E054 $15,000 to $24,999 E055 $25,000 to $34,999 E056 $35,000 to $49,999 E057 $50,000 to $74,999 E058 $75,000 to $99,999 E059 $100,000 to $149,999 E060 $150,000 to $199,999 E061 $200,000 or more E062 Median household income (dollars) E063 Mean household income (dollars) E064 With earnings E065 Mean earnings (dollars) E066 With Social Security E067 Mean Social Security income (dollars) E068 With retirement income E069 Mean retirement income (dollars) E070 With Supplemental Security Income E071 Mean Supplemental Security Income (dollars) E072 With cash public assistance income E073 Mean cash public assistance income (dollars) E074 With Food Stamp/SNAP benefits in the past 12 months E075 Families E076 Less than $10,000 E077 $10,000 to $14,999 E078 $15,000 to $24,999 E079 $25,000 to $34,999 E080 $35,000 to $49,999 E081 $50,000 to $74,999 E082 $75,000 to $99,999 E083 $100,000 to $149,999 E084 $150,000 to $199,999 E085 $200,000 or more E086 Median family income (dollars) E087 Mean family income (dollars) E088 Per capita income (dollars) E089 Nonfamily households E090 Median nonfamily income (dollars) E091 Mean nonfamily income (dollars) E092 Median earnings for workers (dollars) E093 Median earnings for male full-time, year-round workers (dollars) E094 Median earnings for female full-time, year-round workers (dollars) PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL E119 All families E120 With related children under 18 years E121 With related children under 5 years only E122 Married couple families E123 With related children under 18 years E124 With related children under 5 years only E125 Families with female householder, no husband present E126 With related children under 18 years E127 With related children under 5 years only E128 All people E129 Under 18 years E130 Related children under 18 years E131 Related children under 5 years E132 Related children 5 to 17 years E133 18 years and over E134 18 to 64 years E135 65 years and over E136 People in families E137 Unrelated individuals 15 years and over Examples To determine the PUMAs with highest median income in Los Angeles County CA ... click ShowAll button then key in a part of the PUMA name (Los Angeles County) in the Select Area edit box below the ranking table, then click the Select Area button. When the PUMA(s) display, scroll right to item E062 in the table. Click E062 header cell twice to view these areas ranked in descending order on E062. The highest ranked PUMA is "Los Angeles County--Calabasas, Agoura Hills, Malibu & Westlake Village Cities PUMA" with $119,018 MHI. PUMA Demographic-Economic Interactive Table -- 2012 Economic Characteristics Click column header to sort; click again to sort other direction. Mouseover column header cell to view description or use scrollbox above. See usage notes below table. See related Ranking Tables Main Page. See PUMA geographic area definitions. Usage Notes • All subject matter items are estimates for 2012. • Name/Code column: PUMA name • Use Select Area to select/filter PUMA. - Click ShowAll button first. - Key in any part of name and click Select Area button. - Search will filter for any name with that exact, case sensitive, spelling. - Maricopa is used as an example; note if clicking Select Area, many Maricopa named areas are located. ... the more specific Maricopa County may be preferred. • Optionally use splitter bar in header between cells to expand/shrink column width. - Click on splitter bar and drag left or right. • Click ShowAll button between specific queries. • Cells with -1 value could not be estimated (for this geography and this time frame). Where's my PUMA? Use the PUMA 2010 interactive table to determine which PUMA contains or intersects with a census tract, city/place or county. A more comprehensive method is to use the CV XE GIS tools and PUMA shapefile. See additional information. About these Data These data are the first "richer" demographic-economic characteristics for 2010 vintage PUMAs. 2013 annual updates for the 2010 vintage PUMAs will be available fall 2014. PUMAs cover the U.S. wall-to-wall (2,378 areas) providing the greatest geographic granularity for which "current year" demographics are available. Custom estimates may be developed using the Public Use Microdata Samples (PUMS) supplementing data provided here. PUMAs have a minimum population of 100,000 and are typically defined to be approximately that size. As a result, data correspond to geographic areas of similar population size. 2010 vintage PUMAs conform to state boundaries and where possible/applicable counties and Census 2010 census tract boundaries. Typical PUMA configurations: • One or more contiguous partial or whole counties (Madera County CA is one PUMA). • A group of contiguous census tracts within one county (Los Angeles County CA contains 69 PUMAs). Additional Information ProximityOne 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. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact us (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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