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The percent without health insurance of Lincoln County, MT was 23.10% for 18 to 64, all races, both sexes and all income levels in 2014. The percent without health insurance of Pacific County, WA was 16.90% 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 Pacific County, WA or Lincoln County, MT

  • API

    Pierce County, WA -- COVID Risk Index Score

    internal.open.piercecountywa.gov | Last Updated 2020-05-26T22:54:57.000Z

    Population over 60 (S0101), Women Who Had a Birth in the Past 12 Months (B13002), Below Poverty Level (B17015), No Health Insurance (B27001), Household Receiving SNAP Assistance (S2201), No Internet Access (B28002), Total Population (B01003) and Language at Home (C16001)

  • API

    Education, Health, And Transportation Demographics

    data.orcities.org | Last Updated 2017-01-06T16:41:02.000Z

    Data from the American Community Survey 2014 on all LOC member cities. This dataset includes select information for education, health and transportation statistics.

  • API

    Administrator And Teacher Salary And Benefits Charter Schools 2011

    opendata.utah.gov | Last Updated 2019-02-11T22:10:56.000Z

    Administrator And Teacher Salary And Benefits Charter Schools 2011

  • API

    Nursing Facility Registry

    data.ct.gov | Last Updated 2024-06-04T13:04:47.000Z

    This registry provides a list of licensed nursing facilities in Connecticut as of September 30th each year, beginning with data from 2013. For each facility, this dataset includes aggregate resident demographic information, private pay rates for private and semi-private rooms, payment sources and occupancy levels for each year.

  • API

    WA-APCD Quality and Cost Summary Report: County Cost

    data.wa.gov | Last Updated 2018-09-13T22:59:19.000Z

    WA-APCD - Washington All-Payer Claims Database The WA-APCD is the state’s most complete source of health care eligibility, medical claims, pharmacy claims, and dental claims insurance data. It contains claims from more than 50 data suppliers, spanning commercial, Medicaid, and Medicare managed care. The WA-APCD has historical claims data for five years (2013-2017), with ongoing refreshes scheduled quarterly. Workers' compensation data from the Washington Department of Labor & Industries will be added in fall 2018. Download the attachment for the data dictionary and more information about WA-APCD and the data.

  • API

    Health Insurance Coverage by County

    internal.open.piercecountywa.gov | Last Updated 2024-02-23T19:25:27.000Z

    Health insurance coverage data from ACS-1 (DP03_0095E, DP03_0096E, DP03_0096PE).

  • API

    MCG Group Health Plan Rates

    data.montgomerycountymd.gov | Last Updated 2023-04-04T00:00:46.000Z

    Montgomery County offers medical, prescription, vision and dental plans for our employees, their families and their partners. Employees can choose between two Point-of-Service (POS) plans with CareFirst Blue Cross and Blue Shield (BCBS) and two Health Maintenance Organizations (HMO’s) with United HealthCare and Kaiser; two prescription plans with Caremark; National Vision Administrators (NVA) plan and two PPO and DHMO dental plans with United Concordia. The dataset contains all available plan rates, provider websites and contact numbers. In addition, this information is also available on the Office of Human Resources (OHR) website at https://www.montgomerycountymd.gov/HR/Benefits/EmployeeMedical.html#1 Update Frequency : Annually

  • API

    Number Of People Without Health Insurance All States 2005-2012

    opendata.utah.gov | Last Updated 2019-04-19T06:44:33.000Z

    Number Of People Without Health Insurance All States 2005-2012

  • API

    National Immunization Survey Adult COVID Module (NIS-ACM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)-Archived

    data.cdc.gov | Last Updated 2024-01-24T15:02:36.000Z

    National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.

  • API

    Uninsured Population Census Data 5-year estimates for release years 2017-Current County Human Services and Insurance

    data.pa.gov | Last Updated 2022-02-21T19:25:39.000Z

    The American Community Survey (ACS) helps local officials, community leaders, and businesses understand the changes taking place in their communities. It is the premier source for detailed population and housing information about our nation. This dataset provides estimates by county for Health Insurance Coverage and is summarized from summary table S2701: SELECTED CHARACTERISTICS OF HEALTH INSURANCE COVERAGE IN THE UNITED STATES. The 5-year estimates are used to provide detail on every county in Pennsylvania and includes breakouts by Age, Gender, Race, Ethnicity, Household Income, and the Ratio of Income to Poverty. An blank cell within the dataset indicates that either no sample observations or too few sample observations were available to compute the statistic for that area. Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level. While an ACS 1-year estimate includes information collected over a 12-month period, an ACS 5-year estimate includes data collected over a 60-month period. In the case of ACS 1-year estimates, the period is the calendar year (e.g., the 2015 ACS covers the period from January 2015 through December 2015). In the case of ACS multiyear estimates, the period is 5 calendar years (e.g., the 2011–2015 ACS estimates cover the period from January 2011 through December 2015). Therefore, ACS estimates based on data collected from 2011–2015 should not be labeled “2013,” even though that is the midpoint of the 5-year period. Multiyear estimates should be labeled to indicate clearly the full period of time (e.g., “The child poverty rate in 2011–2015 was X percent.”). They do not describe any specific day, month, or year within that time period.