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School District Demographic-Economic Ranking Tables
-- Housing Characteristics
January 2014. This section has been updated with new, more up-to-date data. See 2012 Housing Characteristics. Data in the table on this page, below, remain accurate and relevant. It might be useful to compare demographic-economic attributes of the previous year with those of the most recent data year to examine change.
The U.S. national scope School District Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each school district 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 for: Census Tracts | Cities | ZIP Codes | State, Metro & County.
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 school district 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: Eanes ISD has the highest $MHV among all Texas school districts: $554,300.
School District 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
Column P2010 is the Census 2010 total population. All other items are estimates centric to mid-2009.
Name/Code column: area name followed by Federal school district code
Use Select Area to select/filter district.
- 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.
- Houston is used as an example; note if clicking Select Area, many Houston named areas are located.
> to get Houston ISD, TX requires entering Houston ISD, then click Select Area.
Click ShowAll button between specific queries.
Cells with -1 value could not be estimated (for this geography and this time frame).
Comparing D001 total population estimate to P2010 Census 2010 population.
D001 is the total population estimate for the period 2007-2011 (thus centric to mid-2009). P2010 is the total population count as of April 1, 2010. While these numbers should not be used to compute population change, the two side-by-side numbers give some sense of change.
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 school districts (SY 2009-10 boundary). 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 school district dataset are supplemented by a wide range of additional subject matter. ACS 2012 school district 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.