PUMA 2012 Demographic-Economic Interactive Table
-- Public Use Microdata Area Social 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:
Social 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 social 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.
Social Characteristics Items -- scroll section
To determine the percent population with bachelor's degree or higher (item S067) for a PUMA of interest ... click ShowAll button then key in a part of the PUMA name (e.g. NYC) 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 S067 in the table. Click S067 header cell twice to view these areas ranked in descending order on S067. The highest ranked PUMA is "NYC-Manhattan Community District 1 & 2--Battery Park City, Greenwich Village & Soho" with 80.5%.
PUMA Demographic-Economic Interactive Table -- 2012 Social 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.
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).
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.