Location-Based Demographic-Economic Characteristics
-- for a designated type of geographic area
-- an illustrative application using API tools
Have you wondered how Web sites determine the demographic-economic attributes for a location/address? Are those data for the corresponding block group, census tract, city or something else? Was it the "ZIP code area"? ZIP code areas can be 100,000 population or more making them so large that alternative geographies might be preferred. Often those important particulars -- which geography and data sourcing -- are vague or unknown. Here are some options to access data for a location based multiple, alternative types of address "container areas".
Any given address or location is contained with several types of statistical areas (e.g. census tract or block group) and political areas (e.g. city or county). We may want to know the demographic-economic characteristics of a location for any one or several of these geographies. Use the interactive tool on this page to access those data. For example, access/view the median household income of the location/address block group or the median household income the location/address city. Key in the address of interest, select the type of geography and click Find. The results are displayed on this same page.
Find Demographics & Geocodes for an Address
... determine census block code and codes for higher level geography
Enter address details ...See information about content displayed below. Refresh page to remove content displayed below.
Click Find to show results demographic-economic characteristics and geocodes
... may require 5-10 seconds after clicking Find.
... tested for use with Firefox, Safari, Internet Explorer & Chrome.
About the Data Content and Structure
When the Find button (above) is clicked, this page refreshes with returned data based on your query -- the values entered/selected in the section above the Find button. The first portion of the data displayed provide a structured display of selected subject matter items (ACS 5-year estimates) for the type of geography selected (e.g. tracts) for that area in which the address is located. The scope of those items could be substantially expanded.
Following that portion of the display are the geographic attributes displayed as JSON output resulting from the geocoder processing of the address. This is the display content below the text "Summary of address sent and matched results:".
Importance of Census Tracts for Data Analytics
Census tracts are important in data analytics for many reasons.
Covering the U.S. wall-to-wall, census tracts are the preferred "small area" geography for superior data analytics.
The Census Bureau now produces annual tract demographic-economic data from the American Community Survey;
.. there is an evolving time-series at the tract level creating new analytical opportunities.
Originally developed to equivalence neighborhoods, many still do.
Defined by the Census Bureau in collaboration with local groups,
.. tracts typically reflect boundaries meaningful for local area analysis.
Defined generally for use with each new decennial census, most tract boundaries are stable
.. and non-changing for ten years and many much longer.
Designed to average 4,000 population,
.. there are more than twice as many census tracts (73,056) than ZIP code areas (33,129).
Tract boundaries are well-defined; unlike ZIP code areas which are subject to multi-sourced geographic definitions.
Many data developers (e.g., epidemiologists) use census tract geography to tabulate their own small area data
.. enabling more effective use of those data with Census Bureau census tract data.
A statistical geographic area (in contrast to politically defined areas),
.. census tracts are coterminous with counties;
.. data at the census tract level can be aggregated to the county level.
Small area estimates for tracts are typically more reliable than for block groups.
.. census tracts are comprised on one or more coterminous block groups.
.. on average, a census tract is comprised of three block groups.
Census tracts are used by many Federal, state and local governments for compliance and program management.
Support Using these Resources
Learn more about demographic economic data and related analytical tools. Join us in the Data Analytics Lab sessions. 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.
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.