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ZIP Code Demographic-Economic Interactive Tables
  -- ACS 2012 Housing Characteristics
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The U.S. national scope ACS 2012 ZIP Code Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each 5-digit ZIP Code Area organized into four subject matter groups:
  • General Demographics
  • Social Characteristics
  • Economic Characteristics
  • Housing Characteristics -- this section (see similar ACS 2011 data)

These data are based on the American Community Survey (ACS) 2012 5-year estimates. See notes on importance of these data. ZIP Code Areas are groups of generally contiguous of Census 2010 census blocks. See similar ranking tables for: Census Tracts | Cities | School Districts | State, Metro & County.

Updates. See corresponding ACS 2014 data and interactive table.

Use the interactive ranking table in this section to view, query, rank, compare housing characteristics of the population, households and families in these ZIP code areas. The scroll box shown below lists each of the subject matter items available for each ZIP Code area via the ranking table. In the subject matter items scrollbox, 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

Examples
To determine the ZIP codes 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: ZIP code 75205 has the highest $MHV among all Texas ZIP codes: $932,100.

ZIP Code ACS 2012 Demographic-Economic Ranking Tables -- Housing Characteristics
  Click ShowAll button between Find/Queries.
  Use mouseover on column header to view column description.
  See ranking table usage notes below ranking table. See related ranking tables -- http://proximityone.com/rankingtables.htm.
  This large table may require a minute to initially load; Chrome or Firefox recommended.


Usage Notes
  • Column P2010 is the Census 2010 total population. All other items are estimates centric to mid-2010.
  • Click ShowAll button between specific ZIP 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
The ACS estimates and ProximityOne projections provide "richer" demographic-economic characteristics for national scope ZIP Code Areas (ZCA). Census 2010 provides data similar to those items in the General Demographics section. Only the ACS 2011 estimates, ACS 2012 estimates and ProximityOne projections 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 ZCA dataset are supplemented by a wide range of additional subject matter. ZCA estimates and projections are updated annually.

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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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