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PUMA 2012 Demographic-Economic Interactive Table -- Public Use Microdata Area General Demographics
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 (this section) • Social Characteristics • Economic Characteristics • 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 general demographics of the population, households and families in 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. General Demographics Items -- scroll section
AGE AND GENDER
D001 Total population D002 Male D003 Female D004 Under 5 years D005 5 to 9 years D006 10 to 14 years D007 15 to 19 years D008 20 to 24 years D009 25 to 34 years D010 35 to 44 years D011 45 to 54 years D012 55 to 59 years D013 60 to 64 years D014 65 to 74 years D015 75 to 84 years D016 85 years and over D017 Median age (years) D018 18 years and over D019 21 years and over D020 62 years and over D021 65 years and over D022 18 years and over D023 Male D024 Female D025 65 years and over D026 Male D027 Female RACE D028 Total population D029 One race D030 Two or more races D031 One race D032 White D033 Black or African American D034 American Indian and Alaska Native D035 Cherokee tribal grouping D036 Chippewa tribal grouping D037 Navajo tribal grouping D038 Sioux tribal grouping D039 Asian D040 Asian Indian D041 Chinese D042 Filipino D043 Japanese D044 Korean D045 Vietnamese D046 Other Asian D047 Native Hawaiian and Other Pacific Islander D048 Native Hawaiian D049 Guamanian or Chamorro D050 Samoan D051 Other Pacific Islander D052 Some other race D053 Two or more races D054 White and Black or African American D055 White and American Indian and Alaska Native D056 White and Asian D057 Black or African American and American Indian and Alaska Native Race alone or in combination with one or more other races D058 Total population D059 White D060 Black or African American D061 American Indian and Alaska Native D062 Asian D063 Native Hawaiian and Other Pacific Islander D064 Some other race HISPANIC OR LATINO AND RACE D065 Total population D066 Hispanic or Latino (of any race) D067 Mexican D068 Puerto Rican D069 Cuban D070 Other Hispanic or Latino D071 Not Hispanic or Latino D072 White alone D073 Black or African American alone D074 American Indian and Alaska Native alone D075 Asian alone D076 Native Hawaiian and Other Pacific Islander alone D077 Some other race alone D078 Two or more races D079 Two races including Some other race D080 Two races excluding Some other race, and Three or more races D081 Total housing units Examples To determine the places with the largest Asian Indians alone population: - Click ShowAll button. - Use horizontal scroll bar to make column D040 visible. - Click once on D040 column header then click once more on D040 column header (sort descending). Scroll to top. - The Alameda County (South Central)--Fremont City (East) PUMA, CA has the largest Asian Indian alone population among all PUMAs: 37,368. PUMA Demographic-Economic Interactive Table -- 2012 General Demographics 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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