The percent without health insurance of Alaska was 22.20% for 18 to 64, all races, both sexes and all income levels in 2014. The percent without health insurance of Kansas was 14.40% 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 Kansas or Alaska

  • 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

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    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

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    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

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    Patient Characteristics Survey (PCS): 2017

    data.ny.gov | Last Updated 2019-06-10T18:05:18.000Z

    The number of persons described by survey year (2017) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

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    Patient Characteristics Survey (PCS): 2015

    data.ny.gov | Last Updated 2019-06-10T18:05:06.000Z

    The number of persons described by survey year (2015) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

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    Access to Healthcare

    daisi.datacenterresearch.org | Last Updated 2018-04-05T17:45:28.000Z

    Percent of population 18-64 years of age with no health insurance coverage by race/ethnicity in New Orleans and the United States

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    Patient Characteristics Survey (PCS): 2013

    data.ny.gov | Last Updated 2019-06-10T18:04:45.000Z

    The number of persons described by survey year (2013) reported in OMH Region-specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: gender (Male, Female,Transgender Male, Transgender Female), age (below 5,5–12, 13–17, 18–20, 21–34, 35–44, 45–64, 65–74, 75 and above, and unknown age) and race (White only, Black/ African American Only, Multi-racial, Other and unknown race) and ethnicity (Non-Hispanic, Hispanic, and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

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    MCG Group Health Plan Rates

    data.montgomerycountymd.gov | Last Updated 2018-11-16T14:46:23.000Z

    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

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    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2019-04-01T15:15:07.000Z

    This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 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.

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    Retail Reports by Industry in Colorado

    data.colorado.gov | Last Updated 2018-06-13T00:02:32.000Z

    Colorado Retail and Sales Tax information are summarized monthly at the county level by industry. Retail Sales for the monthly filing period are summarized by county and industry in this report including retail trade totals. Contains fields like agriculture, clothing, food & beverage, etc from the Colorado Department of Revenue (DOR).