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State Profiles > District of Columbia

District of Columbia
Employer 54.5%
Individual 8.2%
Uninsured 3.5%
Public 33.9%

District of Columbia At-a-Glance

Average Annual Employer-Sponsored Insurance Premium (2017) $6,704
Employee Contributions to Premiums, Single Coverage (2017) 19.0%
Employees Enrolled in High Deductible Health Plans (2017) 32.9%
Had Usual Source of Medical Care Other than Emergency Department in Past Year (2016) 87.1%
No Trouble Finding Doctor in Past Year (2016) 94.5%
Told that Provider Does Accept Insurance Type in Past Year (2016) 94.5%
Adults Who Forgo Needed Medical Care (2017) 10.6%
People with High Medical Care Cost Burden (2017) 12.2%
Made Changes to Medical Drugs Because of Cost in Past Year (2016) 16.1%
Had General Doctor or Provider Visit in Past Year (2016) 74.0%
Had Visit to Emergency Department in Past Year (2016) 22.5%
Spent the Night in Hospital in Past Year (2016) 7.9%

District of Columbia State Resources

Click the links below for printable handouts on coverage in your state

2017 County Health Insurance Estimates Now Available

The U.S. Census Bureau released Small Area Health Insurance Estimates (SAHIE) for 2017, providing estimates of health insurance coverage for all counties and states.  The SAHIE program is the only source of single-year health insurance estimates for every county in the US. Estimates are available for each... Read More

HPM Seminar Series: The Next Wave of Health Care Reform - April 12th

Join us for a lively discussion of the current state of health reform in the United States. Professor Lynn Blewett will facilitate a discussion with the Kaiser Family Foundation’s Larry Levitt on recent and perhaps pivotal events in health policy. We will discuss the latest ruling by a federal judge on Kentucky and... Read More

New Issue Brief Examines Ohio Strategy to Improve Opioid Prescribing Through Payment Reform

In an effort to improve quality and contain the growing cost of health care, states are increasingly undertaking a shift away from fee-for-service reimbursement models that reward quantity of services and moving toward alternative payment models that reward value. Many of the states leading the way in payment and... Read More

New SHADAC Article for INQUIRY Estimates the Cost of National and State-Level Reinsurance Programs for Stabilizing the Individual Health Insurance Markets

In hopes of stabilizing individual insurance markets, the idea of reinsurance—a product designed to protect health insurers against the financial risk of covering high-cost enrollees—has attracted bipartisan interest from state and national policymakers. Alaska, Minnesota, and Oregon have already... Read More

SHADAC Researcher Colin Planalp Talks Trends in the Opioid Crisis with the University of Minnesota

In a recent interview with the University of Minnesota, SHADAC researcher Colin Planalp provided an overview of recent trends in the nation's evolving opioid crisis, discussing the growth in opioid overdose deaths since 2000, and how Minnesota’s statistics on opioid overdoses compare with the rest of... Read More

SHADAC in INQUIRY: Estimating National and State-Level Costs of a Reinsurance Program to Stabilize the Individual Health Insurance Market

Reinsurance, an insurance product designed to protect health insurers against the financial risk of covering high-cost enrollees, has attracted bipartisan policy interest as a mechanism to stabilize individual health insurance markets. Three states—Alaska, Minnesota, and Oregon—have implemented state-based reinsurance... Read More

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    1. SHADAC analysis of the American Community Survey (ACS) Public Use Microdata Sample (PUMS) files. The sum of percentages may not be 100%, due to rounding. 
    2. Medical Expenditure Panel Survey - Insurance Component (MEPS-IC), Agency for Healthcare Research and Quality (AHRQ), Center for Financing, Access and Cost Trends (CFACT).
    3. SHADAC analysis of National Health Interview Survey (NHIS) data, National Center for Health Statistics (NCHS). The NHIS sample is drawn from the Integrated Health Interview Survey (IHIS, MN Population Center and SHADAC). Data were analyzed at the University of Minnesota's Census Research Data Center.