SHADAC hosted a webinar on Thursday, September 28th at 1:00 PM CST covering the release of new 2022 health insurance coverage estimates from two key, large-scale federal data sources: The American Community Survey (ACS) and the Current Population Survey (CPS). Register now!
This blog post uses newly released 2022 health insurance coverage estimates from the U.S. Census Bureau's American Community Survey (ACS) to analyze state-level changes that took place between 2021 and 2022 in the broadest categories of coverage (uninsurance, public coverage, and private coverage) for nonelderly adults (age 19-64) and children (age 0-18).
This blog post uses newly released 2022 health insurance coverage estimates from the U.S. Census Bureau's American Community Survey (ACS) to analyze state-level changes that took place between 2021 and 2022 in the broadest categories of coverage (uninsurance, public coverage, and private coverage) for nonelderly adults (age 19-64) and children (age 0-18).
Drawing on data from the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) released by the U.S. Census Bureau on September 12th, this blog and infographic explore changes in national-level coverage rates by demographic characteristics - such as age, employment, race and ethnicity, immigration status, poverty status, and Medicaid expansion status - for nonelderly adults (age 19-64) and for children (age 0-18).
This data dashboard and blog use estimates from the U.S. Census Bureau’s Household Pulse Survey (HPS) to track trends in adult health insurance coverage rates as states “unwind” the Medicaid continuous coverage requirements and restart standard redetermination procedures.
This data dashboard and blog use estimates from the U.S. Census Bureau’s Household Pulse Survey (HPS) to track trends in adult health insurance coverage rates as states “unwind” the Medicaid continuous coverage requirements and restart standard redetermination procedures.
This issue brief uses data from the 2021 California Health Interview Survey (CHIS) to explore how telehealth use varies across subpopulations of adults in the state and reports how people rate their telehealth experience compared to in-person care. The brief concludes with a discussion of potential policy implications of the findings, and areas for future data collection and research.