.. 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”? These 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. This section reviews use of the interactive Location-Based Demographics Tool to access data for a location based multiple, alternative types of address “container areas”. See more details in this related web section.
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 — see graphic below. The results are displayed on the same page.
Creating Maps for These Geographies
See this related web section about using the MapCompiler to create map views for these block group and census tract areas in the vicinity of the default address used above (1 Infinite Loop, Cupertino, CA). Use the CV XE MapCompiler (GeoGateway feature) to create similar maps for any area of interest.
About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data.