Methodology
These data come from the U.S. Census Bureau 2023 American Community Survey (ACS) 1-year estimates, Table B27010: Types of Health Insurance Coverage by Age. Please note that, because of differences in sample size and data processing, the estimates published here may differ from other estimates produced using either the 5-year ACS estimates or ACS microdata (including the Census Bureau’s Public Use Microdata Sample (PUMS) or the University of Minnesota’s Integrated Public Use Microdata Series (IPUMS)), despite the fact that all of these datasets are based on the same American Community Survey.
Data reflect congressional district boundaries in effect for the 118th Congress. Districts in Alabama, Georgia, Louisiana, New York, and North Carolina were redrawn for the 119th Congress but are not depicted above.
Data reflect individuals with Medicaid/CHIP coverage only, not individuals with Medicaid/CHIP in combination with another source of coverage. ACS data represents a “point-in-time” estimate of an individual’s insurance coverage, meaning that the survey collects information on the respondent’s coverage only at the moment they complete the form, not at another point during the year. (The ACS is conducted over the course of the year.) Please note that ACS estimates are not adjusted by the Census Bureau (or by CCF) to address the “Medicaid undercount” often observed when comparing surveys to the reported numbers of individuals enrolled in Medicaid and CHIP using federal and state administrative data.
The Census Bureau provides a margin of error (MOE) at a 90 percent confidence level for each estimate it publishes. CCF also calculates MOEs for derived estimates (such as aggregates and rates) using formulas provided by the Census Bureau in their handbook: “Understanding and Using American Community Survey Data: What All Data Users Need to Know” (September 2020). Although we do not publish margins of error here, they are available upon request. CCF calculates coefficients of variation (CVs, also known as relative standard errors) to measure data reliability for each estimate. CCF suppresses any estimate with a CV larger than 25 percent.
Children defined as individuals under age 19 (ages 0-18). Adults defined as individuals ages 19-64. Total non-elderly population includes individuals under 65 years of age.
