U.S. & State Housing Data Analytics
-- 2017 Housing Units, Age, Tenure, Occupancy, Rates, Value, Rent, more
October 2018. In 2017, the U.S. median housing value was $217,600 while states ranged from $119,800 (West Virginia) to $617,400 (Hawaii). See item/column H089 in the interactive table below to view, rank, compare, analyze states based on this measure for 2017 ... in context of related housing characteristics. These data uniquely provide insights into many of the most important housing characteristics.
This section is focused on tools, resources and methods that you can use to access, integrate and analyze housing characteristics for the U.S. and states. These data will update in September 2019. See about ProximityOne demographic-economic annual estimates and projections 2010-2060; access projections to 2060 by county.
Go to interactive table below in this section.
Approximately 600 subject matter items from the American Community Survey ACS 2017 database (released September 2018) are included in these four pages/tables:
Housing Characteristics -- this section
Using the Interactive Table
Use the interactive table below 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
.. a few item names and numbers changed from previous year data/table.
U.S. & State 2017 Housing Characteristics .. interactive table .. goto top
Click ShowAll button between Find/Queries. Use mouseover on column header to view column description.
See usage notes below table. See related interactive tables.
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.
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 for 2017.
Click ShowAll button between specific area queries.
Cells with negative 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 Demographic-Economic Data
The importance of understanding the demographic-economic make-up and trends 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.
The American Community Survey provides "richer" demographic-economic characteristics for national scope wide-ranging geographic areas. 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. These data are updated annually in December of each year for each/all political/statistical areas, including census tracts, ZIP code areas and block groups..
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.
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.