Congressional District Housing Data Analytics
-- 2015 Housing Units, Age, Tenure, Occupancy, Rates, Value, Rent, more
September 2016. In 2015, the U.S. median housing value was $194,500. See this item in interactive table below .. item H089. View, rank, compare, analyze 114th Congressional Districts based on this measure for 2015 in context of related housing attributes.
These data uniquely provide insights into many of the most important housing characteristics. See, for example, that MI13 has the lowest median housing value ($63,100 -- item H089) and CA18 has the highest median housing value ($1,139,900). These are the most up-to-date data until next updated in September 2017.
This section is focused on tools, resources and methods that you can use to access, integrate and analyze social characteristics for the United States and 114th Congressional Districts.
Go to interactive table below in this section.
Approximately 600 subject matter items from the American Community Survey ACS 2015 database (released September 2016) are included in these four pages/tables:
Housing Characteristics -- this section
See related tables for 2014.
Patterns of 2015 Housing Value Prosperity by Congressional District
The following graphic shows patterns of median housing value by congressional district in the Los Angeles area. White label shows the congressional district code; yellow label shows median housing value. Legend shows color patterns associated with median housing value.
- View developed using CV XE GIS software and associated GIS project.
- use these resources to develop similar views for any area. Modify subjects, zoom, colors, labels, add your data.
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.
Congressional District 2015 Housing Characteristics -- interactive table
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.
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.
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 Dallas.
.. 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 for 2015.
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..
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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.