State and County Coverage Estimates, 2010-2014 ACS
Use this clickable map to see state and county health insurance coverage estimates for the pooled years 2010-2014. Counties are searchable by bookmark in each state file.
2010-2014 American Community Survey (ACS) 5-Year Estimates:
Percent Uninsured, Total Civilian Noninstitutionalized Population by County
Click here to view estimates for Puerto Rico by municipio.
These estimates come from the 5-year American Community Survey (ACS) via the U.S. Census Bureau’s American FactFinder (AFF) tool. The 5-year ACS is created by pooling together five years of ACS data to produce estimates for areas and subgroups with smaller populations.
About the ACS
The ACS is a household survey that began in 2005 and produces annually updated data on a variety of population characteristics, including health insurance coverage. In total, the ACS surveys approximately three million US households each year. An important feature of the ACS is that it includes a large enough sample for state‐level and sub‐state estimates.
The Census Bureau publishes 1-year estimates for areas with populations of 65,000 or more and 5-year estimates (covering 60 months) for all statistical, legal, and administrative entities.
The ACS began asking survey respondents about health insurance coverage during the 2008 calendar year. Specifically, the survey asks respondents about current coverage for each person in the respondent’s household. A person is categorized as “insured” if he or she has coverage at the point in time at which the survey is administered.
How Are these Estimates Different from the Estimates that SHADAC Publishes Using Census Bureau Micro-Data Files?
Two definitions used by the Census Bureau to generate the tabulations above differ from those that SHADAC uses to generate tabulations for the SHADAC Data Center and the RWJF Data Hub. The definitional differences are as follows:
Family
The Census Bureau defines a family as all related people in a household.
SHADAC defines a family using a measure called the “Health Insurance Unit”(HIU), which includes all individuals who would likely be considered a family unit in determining eligibility for either private or public coverage.
The Census Bureau determines family income as a percentage of the Federal Poverty Level (FPL), which is a definition of poverty used primarily for statistical purposes. For example, FPL is used to estimate the number of Americans living in poverty each year.
SHADAC determines family income as a percentage of the U.S. Department of Health and Human Services’ Federal Poverty Guidelines (FPG), which is a measure used for administrative purposes. For example, FPG is used to determine eligibility for federal programs such as Medicaid and the Supplemental Nutrition Assistance Program (SNAP).
To learn more about the difference between FPL and FPG, click here.
Uninsured 2013 vs. 2014: A Sub-State Comparison (Interactive Map)
November 24, 2015:
What progress was made with the uninsured between 2013 and 2014? Use the new SHADAC interactive map to compare the characteristics of the uninsured across the United States in 2013 and 2014. The map displays data from the recently released American Community Survey to compare both years of sub-state level data--i.e., by Census Region, or Public Use Microdata Area (PUMA).
By moving the slider bar across the screen, users can view the change in uninsurance rates within the Census Regions. Clicking on a given Region allows users to access further detail on the characteristics of the region’s uninsured, including income, educational attainment, race, ethnicity, and nativity status.
Application - Comparisons Within States
Affordable Care Act related health insurance gains are important to states and local communities working to continue to make improvements in the uninsured rates in their regions. This map is a quick reference point for how uninsurance characteristics and rates changed at the sub-state level. A recent SHADAC analysis shows how coverage has changed, and points out how these uninsured populations are becoming more difficult to reach. This tool will be an asset for community enrollment navigators and assisters in helping to identify and enroll the remaining uninsured during the current Open Enrollment Period.
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