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U.S.-State-Metro Demographic-Economic Interactive Tables -- Housing Characteristics
November 2015. The what, why and benefits ... in 2014, the MSA having the highest median housing value, one measure describing the housing market/infrastructure, was the San Jose-Sunnyvale-Santa Clara, CA MSA ($735,400) (U.S. overall: $181,200, lowest ranked MSA: Brownsville-Harlingen, TX MSA $76,200). Use the table below to learn about metros of interest to you. These are the most recent data on this subject, available for all MSAs (and the U.S. and states) until September 2016, when these data update. This measure of housing value is one of 141 measures of housing characteristics available for each of these areas (see list in scroll section below).
View individual metro Metropolitan Area Situation & Outlook Reports
that include selected items shown in the table below integrated with other data. See example of the continuously updated reports for the Dallas, TX MSA.
These data are bundled for interactive access only via the interactive table presented in this section; not available elsewhere. This set of data, augmented with other selected subject matter, has been integrated into shapefiles for use in GIS applications as illustrated in this section and not available elsewhere. This combination of data and analytical tools enables wide-ranging users to analyze this scope of data, optionally with other data, without the expenditure of time and learning curve to develop the data in these ready-to-use analytical structures. Scope of Subject Matter & Geography The national scope U.S.-State-Metro Demographic-Economic Dataset contains approximately 600 subject matter items tabulated for each area organized into four subject matter groups: • General Demographics • Social Characteristics • Economic Characteristics • Housing Characteristics (this section) This section includes the U.S., all states, all MSAs, and all MISAs with 65,000 population or more. See the same scope of subject matter and structure for the 114th Congressional Districts. These data are based on the American Community Survey (ACS) 2014 1-year estimates. See notes on importance of these data. Patterns of Median Housing Value by Metro The graphic below shows median housing value by MSA for the northwest region. MSAs shown with bold brown boundary; labeled with item item H088 (median housing value). See color/interval patterns in highlighted layer in legend panel at left of map (in larger view). The thematic pattern shows item H088 DP4 interactive table below. Click graphic for larger view.  - view developed with ProximityOne CV XE GIS and related GIS project. Interactive 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 U.S.-State-Metro Demographic-Economic Ranking Tables -- Housing Characteristics Click column header to sort; click again to sort other direction. See more usage notes below table. Data are based on ACS 2014 1 year estimates. See related Ranking Tables Main Page Usage Notes • Click ShowAll button between specific queries. • Use Find> button to select/filter based on name column. - Click ShowAll button first. - Enter search text in edit box to right of Find> button. ... text is case sensitive; partial; names okay. - Default value of "MSA" (no quotes) will select all MSAs (381 areas). ... note if the GeoType 310 Metro is used, 508 metros are selected (both MSAs and MISAs). - Example: "San" (no quotes) will select all areas with name starting with San. • Click row (turns blue) select, then right-click to copy to clipboard. - Optionally paste in another application such as Excel. • Mouse-over header cell to view description of column. - Alternatively associate cell header item number with scroll section above table for item description. • Estimates are not available for cells with -1 value (for this geography and this time frame). • All items are estimates centric to 2014. • Median gross rent is top coded at $2,001. Areas showing $2,001 are $2,000 or more. • Median housing value is top coded at $1,000,000. Areas showing $1,000,001 are $1,000,000 or more. • Click ShowAll button between specific area queries. Determining Metro Based on Address Key in an address here to find codes/names to determine congressional district, city/place, school district, census tract, etc. geocode/area name based on address. Key in an address here to view demographic-economic characteristics (and associated geographic codes) for that location (.e.g., for corresponding block group, census tract or other area containing that address). Importance of these Data These data provide "richer" demographic-economic characteristics for national scope metros. While Census 2010 provides data similar to those items in this section, only ACS 2010 and successive annual updates 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 data described in this section are supplemented by a wide range of additional subject matter. ACS 2015 1-year estimates become available in September 2016. Metros and Core-Based Statistical Areas [goto top] Metropolitan Statistical Areas (MSAs) and Micropolitan Statistical Areas (MISAs) are geographic entities delineated by the Office of Management and Budget (OMB) for use by Federal statistical agencies in collecting, tabulating, and publishing Federal statistics. The term "Core-Based Statistical Area" (CBSA) refer to the collective set of MSAs and MISAs. A MSA contains a core urban area of 50,000 or more population. A MISA contains an urban core of at least 10,000 (but less than 50,000) population. Each MSA or MISA consists of one or more counties and includes the counties containing the core urban area, as well as any adjacent counties that have a high degree of social and economic integration (as measured by commuting to work) with the urban core. The availability of data tabulated by MSA and MISA (and often less available for all counties or all cities) make MSAs and MISAs popular for the analysis of demographic, economic and business data. Support Using these Resources Learn more about demographic economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these 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. ProximityOne User Group Join the ProximityOne User Group to keep up-to-date with new developments relating to geographic-demographic-economic decision-making information resources. Receive updates and access to tools and resources available only to members. Use this form to join the User Group. Additional Information ProximityOne develops geographic-demographic-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 software, data and methodologies to analyze their own data integrated with other data. Follow ProximityOne on Twitter at www.twitter.com/proximityone. Contact ProximityOne (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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