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Census Tract Demographic-Economic Ranking Tables
-- Housing Characteristics
New December 2012. The U.S. national scope Census Tracts Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each census tract organized into four subject matter groups:
Housing Characteristics (this section)
These data are based on the American Community Survey (ACS) 2011 5-year estimates. See notes on importance of these data. See similar ranking tables: Cities | School Districts | State-Metro-County | ZIP Codes.
Use the interactive ranking table in this section to view, query, rank, compare housing characteristics 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 S&O Server for more detail, alternative formats and data extraction.
Housing Characteristics Items
To determine the census tracts with the highest median value (occupied housing units) in Texas:
- Click ShowAll button. Click State dropdown and select Texas.
- Use horizontal scroll bar to make column H088 visible.
- Click once on H088 column header then click once more on H088 column header (to sort descending).
- The topmost value: census tract TX-113-019800 has the highest $MHV among all Texas census tracts: $956,000.
Census Tract Demographic-Economic Ranking Tables -- Housing Characteristics
Click column header to sort; click again to sort other direction.
See usage notes below table. See related Ranking Tables Main Page
Initial load may require 30 seconds; Chrome/Firefox faster; click row to copy to clipboard
Column P2010 is the Census 2010 total population. All other items are estimates centric to mid-2009.
Tract code column: Census 2010 census tract code structured as 11 characters:
- ss (state postal code) + ccc (county FIPS code) + tttttt (Census 2010 census tract code).
- all 11 characters required to uniquely identify a tract code.
Use Select Area to select/filter for all tracts in a county or one tract.
- Click ShowAll button first.
- values entered: no spaces; strict structure; alpha must be upper case.
- all tracts in a county: key in 5-character code and click Select Area.
> 5-character code is state postal abbreviation followed by county FIPS code.
> to view all tracts in Honolulu County, HI, the code is HI003 (HI for Hawaii and 003 for Honolulu County).
- a selected tract: key in 11-character tract code and click Select Area.
> 5-character state postal abbr plus county FIPS code plus 6 character tract code.
> to view tract Texas tract 019800 in county 113, key in TX113019800 and click Select Area button.
Click ShowAll button between specific queries.
Cells with -1 value could not be estimated (for this geography and this time frame).
Use find codes/names to determine census tract, city/place, school district etc. geocode/area name based on address.
Importance of these Data
These data provide "richer" demographic-economic characteristics for national scope census tracts. While Census 2010 provides data similar to those items in the General Demographics section, only ACS 2010 and ACS 2011 sourced data provide details on topics such as income and poverty, labor force and employment, housing value and costs, educational participation and attainment, language spoken at home, among many related items. The approximate 600 items accessible via the tract dataset are supplemented by a wide range of additional subject matter. ACS 2012 census tract data become available in December 2013.
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.