The percent without health insurance of Pennington County, SD was 15.50% 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 Pennington County, SD

  • API

    SD Mobility Reliability Table

    dashboard.udot.utah.gov | Last Updated 2019-01-29T20:41:02.000Z

    Data provided as Excel file from TOC

  • API

    County of San Diego Preparedness Study (2017)

    data.sandiegocounty.gov | Last Updated 2018-09-21T23:13:21.000Z

    The 2017 San Diego County Preparedness Survey, commissioned by the County of San Diego Office of Emergency Services and developed and conducted by Integrated Solutions Consulting, surveyed a random sample of 60,000 San Diego County residents over the age of 18. 1,075 residents completed the survey to offer results that were within a 95% confidence level with a confidence interval of 3%.

  • API

    SD Mobility Mode Split Table State and Regions

    dashboard.udot.utah.gov | Last Updated 2019-01-05T01:23:15.000Z

    Mode split (autos and transit) breakdown for strategic Direction calculations. Static table update as data becomes available. Methodology: Person trips from current volumes & UTA ridership within the Salt Lake I-15 corridor during PM peak period. Person trips from current volumes & UTA ridership as percentage of goal in Salt Lake County I-15 corridor during PM peak period. The current target for percentage of transit ridership is 10.2%.

  • API

    Structures Data Lens_Data Set

    dashboard.udot.utah.gov | Last Updated 2019-03-21T09:35:07.000Z