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Key Findings from the Evaluation of the SIM Initiative in Minnesota: Final Report Executive Summary Now Available

The executive summary provides an overview of the key findings from the final results of SHADAC’s broad, initiative-level evaluation of Minnesota’s core SIM activities.

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State and County Coverage Estimates, 2012-2016 ACS

Click on a state to see state and county health insurance coverage estimates for the pooled years 2012-2016. Counties are searchable by bookmark in each state file.

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State and County Coverage Estimates, 2012-2016 ACS

Click on a state to see state and county health insurance coverage estimates for the pooled years 2012-2016. Counties are searchable by bookmark in each state file.

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2016 ACS Tables: State & County Uninsured Rates, with Comparison Year 2015

The map on this page links to tables containing state and county uninsurance estimates for 2016. Click on a state to see state and county uninsurance rates by characteristics (for example, age, race/ethnicity, and poverty level) for 2016 and comparison year 2015. These estimates come from the 2016 American Community Survey (ACS) via the U.S. Census Bureau's American FactFinder (AFF) tool and were released on September 14, 2016. 

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State-Level Trends in Employer-Sponsored Health Insurance, 2012-2016: Chartbook and State Fact Sheets

This analysis uses data from the Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) to highlight the experiences of private-sector workers with employer-sponsored insurance (ESI) from 2012 through 2016 at the national level and in the states.

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State-Level Trends in Employer-Sponsored Health Insurance, 2012-2016: Chartbook and State Fact Sheets

This analysis uses data from the Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) to highlight the experiences of private-sector workers with employer-sponsored insurance (ESI) from 2012 through 2016 at the national level and in the states.

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Using Google Trends to Support Health Policy Analysis

This brief describes a rich source of internet search data--Google Trends--and provides an example of how researchers are using these data to study health policy. 

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