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2010 PUMA Geography

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PUMA 2012 Demographic-Economic Interactive Table
  -- Public Use Microdata Area Economic Characteristics
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Visual analysis with ProximityOne tools
click graphic for info; hover to pause

visually analyze clients/markets
site analysis using 1 mile radius


$median household income
patterns by census tract - Houston

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113th Congressional Districts

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US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
& census blocks

Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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Arizona 2010 PUMAs
click for larger & more detailed views

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
  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
  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)
  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
  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
  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
  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)
  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

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 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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