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January 2016. The importance of understanding the demographic-economic make-up and trends for school districts can hardly be overstated. Community and educational challenges and opportunities are shaped by demographic-economic dynamics. Only by knowing "where we are" can we develop the most effective plans for improvement.

This section is focused on tools, resources and methods that you can use to access, integrate and analyze school district housing characteristics data. The U.S. national scope ACS 2014 (released December 2015) 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 (see similar ACS 2012 data)

These data provide information and insights not available by examining data of students and schools alone -- or any other data. See more about the importance of these data.

Data reviewed in this section are based on the American Community Survey (ACS) 2014 5-year estimates for school districts defined as of the 2013-14 school year. See notes on importance of these data. See similar ranking tables for: Census Tracts | ZIP Codes | State, Metro & County.

Patterns of Housing Value by School District
This view shows median housing value by school district; Texas and southcentral U.S. The thematic pattern shows item H088 shown in the interactive table below. Click graphic for larger view, more detail and legend color/data intervals. This map illustrates the relative ease to gain insights into school district patterns using geospatial data analytics tools.

- View developed using CV XE GIS and related GIS project.

Get a Custom Map for Your Area of Interest
Use this form to request a no fee map graphic similar to the one shown above for a state of interest. Enter the request with state name in the text section; e.g., "Requesting school district $MHV pattern map for Illinois."

Using the Interactive Table
Use the interactive ranking table in this section to view, query, rank, compare housing characteristics of the population, households and families for these areas. The scroll box shown below lists each of the subject matter items available for each area via the ranking table. In the subject matter items scroll box, subject matter items are organized into to mini-tables with related items. 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.

Housing Characteristics Items
HOUSING OCCUPANCY
  H001     Total housing units
  H002 Occupied housing units
  H003 Vacant housing units
  H004 Homeowner vacancy rate
  H005 Rental vacancy rate
UNITS IN STRUCTURE
  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.
YEAR STRUCTURE BUILT
  H016     Total housing units
  H017 Built 2010 or later
  H018 Built 2000 to 2009
  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
  ROOMS
  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
BEDROOMS
  H037     Total housing units
  H038 No bedroom
  H039 1 bedroom
  H040 2 bedrooms
  H041 3 bedrooms
  H042 4 bedrooms
  H043 5 or more bedrooms
HOUSING TENURE
  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
YEAR HOUSEHOLDER MOVED INTO UNIT
  H049     Occupied housing units
  H050 Moved in 2010 or later
  H051 Moved in 2000 to 2009
  H052 Moved in 1990 to 1999
  H053 Moved in 1980 to 1989
  H054 Moved in 1970 to 1979
  H055 Moved in 1969 or earlier
VEHICLES AVAILABLE
  H056     Occupied housing units
  H057 No vehicles available
  H058 1 vehicle available
  H059 2 vehicles available
  H060 3 or more vehicles available
HOUSE HEATING FUEL
  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
SELECTED CHARACTERISTICS
  H071     Occupied housing units
  H072 Lacking complete plumbing facilities
  H073 Lacking complete kitchen facilities
  H074 No telephone service available
OCCUPANTS PER ROOM
  H075     Occupied housing units
  H076 1.00 or less
  H077 1.01 to 1.50
  H078 1.51 or more
VALUE
  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)
MORTGAGE STATUS
  H089     Owner-occupied units
  H090 Housing units with a mortgage
  H091 Housing units without a mortgage
SELECTED MONTHLY OWNER COSTS (SMOC)
  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)
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)
  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
GROSS RENT
  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
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)
  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

School District ACS 2014 Demographic-Economic Interactive Tables -- Housing Characteristics
  Click ShowAll button between Find/Queries. Use mouseover on column header to view column description.
  See usage notes below table. See related tables -- http://proximityone.com/rankingtables.htm.


Usage Notes
  • If table not showing any rows; click ShowAll button below table.
  • Use vertical and horizontal scroll bars to navigate up/down or left/right.
  • Adjust column widths using column divider between header cells.
  • CBSA> button -- use to select districts in a specified metro/CBSA
    .. get metro 5-character code here     .. paste the 5-character metro code in the edit box to right of CBSA> button.
    .. overwriting the value 19100.
    .. click the CBSA> button ... table refreshes with all districts in specified metro.
  • Find Name> button -- use to select district based on exact spelling of partial name in column 1.
    .. Key in exact up/low case spelling of partial name of district in the edit box to right of Find Name> button.
    .. overwriting the value Los Angeles.
    .. click the Find Name> button ... table refreshes with all districts with matched spelling in column 1.
  • Selected columns -- click the "Units.Occ.Vacant.%MdValue.$MdRent" button to show only these columns;
    .. click "All columns" button to restore view to all columns.

  • All items are estimates centric to mid-2012.
  • Click ShowAll button between specific area queries.
  • Cells with -1 value could not be estimated (for this geography and this time frame).

Selecting Districts within a Metro/CBSA
The graphic below shows school districts in the Dallas, TX metro ranked in descending order on item H088 (median housing value). Highland Park ISD has the highest value of 1,000,000 (the top coded value).

To replicate the above view, proceed as follows using the interactive table above.
  • Click ShowAll button below table.
  • Click Units.Occ .. button below table.
  • Click the CBSA> button (using the default Dallas metro CBSA code 19100).
  • Click the H088 column header; click again to sort in other direction.

Examine a metro of interest -- get metro 5-character code here ..
  • Click ShowAll button below table.
  • Click Units.Occ .. button below table.
  • Paste the 5-character metro code in the edit box to right of CBSA> button.
    .. overwriting the value 19100.
  • Click the CBSA> button.
  • Click the H088 column header; click again to sort in other direction.

Use find codes/names to determine census tract, city/place, school district etc. geocode/area name based on address.

Importance of School District Demographic-Economic Data
The American Community Survey provides "richer" demographic-economic characteristics for national scope school districts. While Census 2010 provides data similar to those items in the General Demographics section, only ACS 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 dataset are supplemented by a wide range of additional subject matter. ACS school district data are updated annually in December of each year for each/all school districts.

ProximityOne User Group
Join the ProximityOne User Group to keep up-to-date with new developments relating to metros and component geography decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group.

Support Using these Resources
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

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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