The percent without health insurance of District of Columbia, DC was 7.00% for 18 to 64, all races, both sexes and all income levels in 2014.

Percent Uninsured

Percent Uninsured by Income Level

Percent Uninsured by Race

The Small Area Health Insurance Estimate (SAHIE) estimates health insurance coverage from the American Community Survey (ACS).

Above charts are based on data from the Small Area Health Insurance Estimate | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Health and Health Insurance Datasets Involving District of Columbia, DC

  • API

    2015 Health Insurance Marketplace Plan Selections by ZIP Code as of Jan. 16, 2015

    data.cms.gov | Last Updated 2017-03-30T00:00:58.000Z

    The dataset provides the total number of health plan selections by ZIP Code for the 37 states that use the HealthCare.gov platform, including the Federally-facilitated Marketplace, State Partnership Marketplaces and supported State-based Marketplaces. These data reflect the total number of consumers who selected a plan or were automatically re-enrolled for the 2015 coverage year as of January 16, 2015. The dataset does not include plan selections from the District of Columbia and 13 other states that have State-based Marketplaces. Data for ZIP Codes with 50 or fewer plan selections are not included to protect individuals' privacy. A total of 13,725 ZIP Codes with at least 51 plan selections per ZIP Code are included in the table. These data account for 97 percent of the total 7.16 million overall plan selections in the 37 states as of January 16, 2015. The sum of plan selections among ZIP Codes within a state using this dataset may not be equal to state-level totals provided in the state level snapshots. This is because ZIP Code-level data does not appear for ZIP Codes with 50 or fewer plan selections, and as a result the dataset does not include all plan selections within a state.

  • API

    Number Of People Without Health Insurance All States 2005-2012

    opendata.utah.gov | Last Updated 2015-03-17T17:37:35.000Z

    Number Of People Without Health Insurance All States 2005-2012

  • API

    2012 and 2015: AIAN Health Insurance, Medicaid, and IHS Access by State Divided into Age Group

    data.cms.gov | Last Updated 2017-04-11T20:22:19.000Z

    A comparison between 2012 and 2015 American Indian/Alaska Native health care coverage, IHS access, Medicaid coverage with breakdown for sex and age range

  • API

    2012 AIAN Insurance By IHS Access, Sex And Medicaid

    data.cms.gov | Last Updated 2017-04-07T19:14:22.000Z

    2012 AIAN male/female breakdown of insurance coverage, access to IHS, and Medicaid

  • API

    2012 and 2015 AIAN Insurance By IHS Access, Sex And Medicaid

    data.cms.gov | Last Updated 2017-04-07T22:09:21.000Z

    2012 and 2015 data by Insurance, IHS access, sex, and medicaid coverage

  • API

    State Medicaid and CHIP Applications, Eligibility Determinations, and Enrollment Data

    data.medicaid.gov | Last Updated 2017-11-22T16:06:06.000Z

    All states (including the District of Columbia) are required to provide data to The Centers for Medicare & Medicaid Services (CMS) on a range of indicators related to key application, eligibility, and enrollment processes within the state Medicaid and Children’s Health Insurance Programs (CHIP). These data reflect enrollment activity for all populations receiving comprehensive Medicaid and CHIP benefits in all states, as well as state program performance.

  • API

    VSRR Provisional Drug Overdose Death Counts

    data.cdc.gov | Last Updated 2017-12-06T13:21:09.000Z

    This data contains provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. National provisional counts include deaths occurring within the 50 states and the District of Columbia. The counts represent the number of reported deaths due to drug overdose occurring in the 12-month periods ending in the month indicated. These counts include all seasons of the year and are insensitive to reporting variations by seasonality. Deaths are reported by the jurisdiction in which the death occurred.

  • API

    Quitline – Services Available – Medications - 2010 To Present

    chronicdata.cdc.gov | Last Updated 2017-11-21T23:15:32.000Z

    2010-2017. National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System. NQDW Data. National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines. States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services. The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.

  • API

    Quitline – Services Available – Counseling - 2010 To Present

    chronicdata.cdc.gov | Last Updated 2017-11-21T23:17:36.000Z

    2010-2017. National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System. NQDW Data. National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines. States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services. The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.

  • API

    Medicare Provider Utilization and Payment Data: Physician and Other Supplier PUF CY2014

    data.cms.gov | Last Updated 2017-09-22T18:53:31.000Z

    CPT copyright 2014 American Medical Association. All Right Reserved. This dataset is subject to the AMA click-agreement. If you have reached this dataset without the click through agreement, please acknowledge your acceptance here: https://data.cms.gov/use-agreement?id=ee7f-sh97 NOTE: This is a very large dataset so some views and actions will take some time to load, particularly in older browsers. The Centers for Medicare & Medicaid Services (CMS) has prepared a public data set, the Provider Utilization and Payment Data Physician and Other Supplier Public Use File (herein referred to as “Physician and Other Supplier PUF”), with information on services and procedures provided to Medicare beneficiaries by physicians and other healthcare professionals. The Physician and Other Supplier PUF contains information on utilization, payment (allowed amount and Medicare payment), and submitted charges organized by National Provider Identifier (NPI), Healthcare Common Procedure Coding System (HCPCS) code, and place of service. This PUF is based on information from CMS administrative claims data for Medicare beneficiaries enrolled in the fee-for-service program available from the CMS Chronic Condition Data Warehouse (www.ccwdata.org). The data in the Physician and Other Supplier PUF covers calendar year 2014 and contains 100% final-action physician/supplier Part B non-institutional line items for the Medicare fee-for-service population.