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State Profiles > District of Columbia

District of Columbia
Coverage1
Employer 60.6%
Individual 14.1%
Uninsured 3.6%
Public 34.4%

District of Columbia At-a-Glance

COVERAGE2
Employees Eligible for Health Insurance (2015) 81.3%
Employees in Firms that Offer Health Insurance (2015) 92.6%
Take-up of Health Insurance (2015) 78.2%
ACCESS TO CARE3
Had Usual Source of Medical Care Other than Emergency Department in Past Year (2014) 88.8%
No Trouble Finding Doctor in Past Year (2014) 94.7%
Told that Provider Does Accept Insurance Type in Past Year by Age (2014) 95.5%
AFFORDABILITY3
Needed but Delayed Medical Care Due to Cost in Past Year (2014) 5.6%
Needed by Did Not Get Medical Care Due to Cost in Past Year (2014) 3.4%
Trouble Paying Medical Bills or Paying Off Bills Over Time in Past Year (2014) 14.8%
HEALTH CARE UTILIZATION3
Had General Doctor or Provider Visit in Past Year (2014) 76.0%
Had Visit to Emergency Department in Past Year (2014) 20.4%
Spent the Night in Hospital in Past Year (2014) 7.8%

District of Columbia State Resources

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

2.5 People Gained Coverage for Every State-Sponsored TV Insurance Advertisement Aired during First ACA Open Enrollment - SHARE Analysis in Health Affairs

A paper released today in Health Affairs examines the link between health insurance changes after the first ACA open enrollment period (“OEP One”) and the efforts of federal, state, and non-profit sponsors to market their products.  Specifically, the study authors considered the relationship between the... Read More

SHADAC Newsletter — March 2017

March 2017 Announcements Employer Coverage Offers and Take-Up Declined in 2015: Chartbook and State Fact Sheets on ESI Trends from 2011-2015  A new SHADAC chartbook highlights the experiences of private-sector workers with employer-sponsored insurance (ESI) from 2011 to 2015 at the national level... Read More

Implementing Multiple SIM Initiatives through One Local Agency: The Effect of "Stack" in Otter Tail County, Minnesota

Background The State Innovation Model (SIM) in Minnesota, known as the Minnesota Accountable Health Model, aims to accelerate care delivery and payment reforms to achieve a health care system that provides patient-centered, coordinated care; holds providers accountable for costs and quality of care; aligns... Read More

The Effect of the 2014 Medicaid Expansion on Insurance Coverage for Newly Eligible Childless Adults

In a RAND report, Michael Dworsky, Christine Eibner, and team compare individuals in expansion states to individuals in non-expansion states in order to determine how Medicaid expansion impacted insurance status for low-income childless adults who became newly eligible for Medicaid. Dworsky and team also... Read More

State-Level Trends in ESI, 2011-2015: Chartbook and Fact Sheets Now Available

For all chartbooks, state fact sheets, and additional resources, visit here.     Chartbook SHADAC's new chartbook uses data from the Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) to highlight the experiences of private-sector workers with employer-... Read More

State-Level Trends in Employer-Sponsored Health Insurance, 2011-2015: Chartbook and State Fact Sheets

Chartbook This SHADAC chartbook 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 2011 through 2015 at the national level and in the states.  Download the chartbook... Read More

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    1. SHADAC analysis of the American Community Survey (ACS) Public Use Microdata Sample (PUMS) files.
    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.