Tag Archives: health insurance coverage

Health Insurance Coverage by Census Tract

.. the overall percent civilian non-institutionalized population with health insurance coverage changed from 85.2% in 2012 to 88.3% in 2014. Health insurance coverage is one measure among many others that are important in Healthcare Data Analytics. This section uses healthcare data analytics tools to view/analyze healthcare coverage by census tract and other geographies. See more about using health insurance coverage data in context with other health-related data in this related section.

Percent Civilian Non-institutionalized Population
    with Health Insurance by Census Tract


.. view developed with ProximityOne CV XE GIS and related GIS project.

Health Insurance Coverage Data & Interactive Table Access
Health insurance coverage data are one of several types of health-related data available in the 2014 ACS 5-year estimates. At the national level, the overall population with health insurance coverage changed from 85.2% in 2012 to 88.3% in 2014. The upper two intervals shown in the health insurance coverage by census tract map above are for the percent population with health insurance coverage at or above the national 85.2% level in 2012 (census tract data are only available from the 5-year estimates, the ACS 2014 5 year estimates are centric to 2012).

While health insurance coverage data are available in a range of demographic combinations, 25 health insurance coverage items (see table below) are available from the economic characteristics dataset for selected types of geography in these interactive tables:

ACS 2014 1-Year Estimates – data centric to mid-2014
U.S., State, CBSA/Metro
114th Congressional Districts

ACS 2014 5-Year Estimates – data are centric to mid-2012
Census Tracts
ZIP Code Areas
School Districts
State Legislative Districts

Join me in a Data Analytics Lab session to discuss more details about analyzing health and healthcare characteristics and patterns and use of data analytics to develop further detail related to your interests.

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. Contact Warren. Join Warren on LinkedIn.

American Community Survey 2014: New Resources for Data Analytics

.. to pick one geography among many important types of geographies, how has educational attainment changed by metro since 2010? .. median household income? .. median housing value? How do metros compare among peer group metros? Data required to answers these questions are only available from the Census Bureau American Community Survey (ACS).

New ACS 2014 Data Now Available
The American Community Survey 1-year estimates became available today, September 17, 2015. See details — ACS 2014 data access, integration and use. These demographic-economic estimates are released annually in September and are essential in many Data Analytics applications. The 1-year estimates are available for geographic areas having 65,000 population or more and reflect characteristics for the survey period January through December 2014.

2014 Median Household Income by Metro
The following graphic illustrates use of the ACS 2014 data to develop a thematic pattern map of median household income by metro (515 metros that have 65,000 or more population). This graphic makes use of one subject matter item among hundreds of ACS subject matter items tabulated. Click graphic for larger view showing legend and mini profile example.

— view developed using CV XE GIS software and related GIS project.

  • See more about the scope of subject matter tabulated.

  • See more about the scope of geographic tabulation areas.

ACS & Data Analytics
Data Analytics can help most any organization more effectively reach goals and objectives. Whether a new or established business, serving a county or national market, similar tools and methods apply. The ACS data provide one important part of the data for Data Analytics. Subsequent posts will illustrate how to integrate ACS data with other data to gain important insights.

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.