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$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
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%high school graduates by
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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:
  • General Demographics
  • Social Characteristics
  • Economic Characteristics
  • 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
  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 2005 or later
  H018 Built 2000 to 2004
  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 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

Usage Notes
  • 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.

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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