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2010 PUMA Geography

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PUMA 2012 Demographic-Economic Interactive Table
  -- Public Use Microdata Area Housing 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
  • Housing Characteristics (this section)

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 housing 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.

Housing Characteristics Items -- scroll section
  H001     Total housing units
  H002 Occupied housing units
  H003 Vacant housing units
  H004 Homeowner vacancy rate
  H005 Rental vacancy rate
  H006     Total housing units
  H007 1-unit, detached
  H008 1-unit, attached
  H009 2 units
  H010 3 or 4 units
  H011 5 to 9 units
  H012 10 to 19 units
  H013 20 or more units
  H014 Mobile home
  H015 Boat, RV, van, etc.
  H016     Total housing units
  H017 Built 2010 or later
  H018 Built 2000 to 2009
  H019 Built 1990 to 1999
  H020 Built 1980 to 1989
  H021 Built 1970 to 1979
  H022 Built 1960 to 1969
  H023 Built 1950 to 1959
  H024 Built 1940 to 1949
  H025 Built 1939 or earlier
  H026     Total housing units
  H027 1 room
  H028 2 rooms
  H029 3 rooms
  H030 4 rooms
  H031 5 rooms
  H032 6 rooms
  H033 7 rooms
  H034 8 rooms
  H035 9 rooms or more
  H036 Median rooms
  H037     Total housing units
  H038 No bedroom
  H039 1 bedroom
  H040 2 bedrooms
  H041 3 bedrooms
  H042 4 bedrooms
  H043 5 or more bedrooms
  H044     Occupied housing units
  H045 Owner-occupied
  H046 Renter-occupied
  H047 Average household size of owner-occupied unit
  H048 Average household size of renter-occupied unit
  H049     Occupied housing units
  H050 Moved in 2005 or later
  H051 Moved in 2000 to 2004
  H052 Moved in 1990 to 1999
  H053 Moved in 1980 to 1989
  H054 Moved in 1970 to 1979
  H055 Moved in 1969 or earlier
  H056     Occupied housing units
  H057 No vehicles available
  H058 1 vehicle available
  H059 2 vehicles available
  H060 3 or more vehicles available
  H061     Occupied housing units
  H062 Utility gas
  H063 Bottled, tank, or LP gas
  H064 Electricity
  H065 Fuel oil, kerosene, etc.
  H066 Coal or coke
  H067 Wood
  H068 Solar energy
  H069 Other fuel
  H070 No fuel used
  H071     Occupied housing units
  H072 Lacking complete plumbing facilities
  H073 Lacking complete kitchen facilities
  H074 No telephone service available
  H075     Occupied housing units
  H076 1.00 or less
  H077 1.01 to 1.50
  H078 1.51 or more
  H079     Owner-occupied units
  H080 Less than $50,000
  H081 $50,000 to $99,999
  H082 $100,000 to $149,999
  H083 $150,000 to $199,999
  H084 $200,000 to $299,999
  H085 $300,000 to $499,999
  H086 $500,000 to $999,999
  H087 $1,000,000 or more
  H088 Median (dollars)
  H089     Owner-occupied units
  H090 Housing units with a mortgage
  H091 Housing units without a mortgage
  H092     Housing units with a mortgage
  H093 Less than $300
  H094 $300 to $499
  H095 $500 to $699
  H096 $700 to $999
  H097 $1,000 to $1,499
  H098 $1,500 to $1,999
  H099 $2,000 or more
  H100 Median (dollars)
  H101     Housing units without a mortgage
  H102 Less than $100
  H103 $100 to $199
  H104 $200 to $299
  H105 $300 to $399
  H106 $400 or more
  H107 Median (dollars)
  H108     Housing units with a mortgage (excluding units where SMOCAPI cannot be computed)
  H109 Less than 20.0 percent
  H110 20.0 to 24.9 percent
  H111 25.0 to 29.9 percent
  H112 30.0 to 34.9 percent
  H113 35.0 percent or more
  H114 Not computed
  H115     Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)
  H116 Less than 10.0 percent
  H117 10.0 to 14.9 percent
  H118 15.0 to 19.9 percent
  H119 20.0 to 24.9 percent
  H120 25.0 to 29.9 percent
  H121 30.0 to 34.9 percent
  H122 35.0 percent or more
  H123 Not computed
  H124     Occupied units paying rent
  H125 Less than $200
  H126 $200 to $299
  H127 $300 to $499
  H128 $500 to $749
  H129 $750 to $999
  H130 $1,000 to $1,499
  H131 $1,500 or more
  H132 Median (dollars)
  H133 No rent paid
  H134     Occupied units paying rent (excluding units where GRAPI cannot be computed)
  H135 Less than 15.0 percent
  H136 15.0 to 19.9 percent
  H137 20.0 to 24.9 percent
  H138 25.0 to 29.9 percent
  H139 30.0 to 34.9 percent
  H140 35.0 percent or more
  H141 Not computed

To determine the PUMAs with highest median income in Harris County TX ... click ShowAll button then key in a part of the PUMA name (Harris 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 H088 in the table. Click H088 header cell twice to view these areas ranked in descending order on H088.
The highest ranked PUMA is "Harris County (Northwest)--South of US-290 & West of TX-6 PUMA" with $137,300 MHV.

PUMA Demographic-Economic Interactive Table -- 2012 Housing 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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