This publication is a map of sub-state uninsurance estimates for Minnesota’s nonelderly population (age 0-64 years) from the 2008 American Community Survey (ACS). The statewide uninsurance rate was 9.6 percent for this same population and data source.
The large sample size of the American Community Survey makes it possible to produce health insurance estimates for sub-state geographic areas. These areas are referred to as public use microdata areas (PUMA), a geography unit used by the U.S. Census Bureau that represents about 100,000 people. In most cases the PUMA are groups of counties and tend to follow county lines; in the urban areas the PUMA are portions of a county.
Comparison of the Health Insurance Coverage Estimates
This report provides a comparison of four national surveys that measure health insurance coverage to asess fundamental methodological issues that impact the variation in health insurance coverage estimates seen among these surveys. The surveys compared include the Current Population Survey’s Annual Social and Economic Supplement (CPS), the National Health Interview Survey (NHIS), the Survey of Income and Program Participation (SIPP) the Medical Expenditure Panel Survey’s Household Component (MEPS), and six state surveys. This report was prepared by SHADAC researchers for the U.S. Department of Health and Human Services, Assistant Secretary for Planning and Evaluation (ASPE), and the Agency for Healthcare Research and Quality (AHRQ). November 2007.
Publication
SHARE Webinar: The Impact of Extending Dependent Insurance Coverage to Young Adults
This webinar features presentations from SHARE grantee Joel Cantor (Rutgers University) and Troy Oechsner (Deputy Superintendent of Health, State of New York) on states' implementation of dependent coverage expansions and the effectiveness of such reforms in reducing uninsurance amoung young adults.
PDF versions of the powerpoint presentations can be found in the Downloads section below.
Complex Sample Design Effects and Health Insurance Variance Estimation
Nielsen RB, Davern M, Jones, Jr. A and Boies JL. 2009. "Complex Sample Design Effects and Health Insurance Variance Estimation." Journal of Consumer Affairs, 43(2): 346-66.