The percent without health insurance of Butler County, PA was 8.40% for 18 to 64, all races, both sexes and all income levels in 2014. The percent without health insurance of Cumberland County, PA was 9.90% for 18 to 64, all races, both sexes and all income levels in 2014.
Percent Uninsured by Income Level
Percent Uninsured by Race
Health and Health Insurance Datasets Involving Cumberland County, PA or Butler County, PA
- API data.nj.gov | Last Updated 2018-06-07T18:24:35.000Z
This is a report for all the relevant columns of PA - Amount Allocated, Obligated, Paid- broken down by program, project, county and municipality.
Successful Naloxone Reversals by Law Enforcement Years 2014 - June 2018 County Drug and Alcohol Programdata.pa.gov | Last Updated 2018-09-14T18:18:17.000Z
This dataset reports number of successful naloxone reversals by police officers, as self-reported by municipal police departments, Capitol Police, and Pennsylvania State police. The data is stratified by county and by year. Note that there is no legislation mandating that law enforcement report naloxone reversals to DDAP; these data represent voluntary self-reports from departments. NA - Not applicable. No FIPS code or county code exist for Pennsylvania State Police and Capitol Police. Also, counties labelled “NA” do not have municipal police departments and are only covered by Pennsylvania State Police.
- API data.pa.gov | Last Updated 2018-09-19T17:29:44.000Z
Persons enrolled in Medical Assistance (Medicaid) for a given month. Includes Temporary Assistance for Needy Families (TANF), General Assistance (GA), Disabled, & Waiver categories.
- API data.pa.gov | Last Updated 2018-08-27T15:19:26.000Z
This dataset reports number of calls, number of intakes by individuals seeking treatment (also broken down by male vs. female callers), number of warm-line connections made, and resources received by callers from hotline staff since the inception of Pennsylvania’s Get Help Now Hotline, text line, and chat line in November 2016. Starting March 2018, this dataset also reports the drug (or drug class) of concern by callers for each Pennsylvania County and totals for the Commonwealth. Total Intakes is also reported by Pennsylvania County. When a field is blank the information is not available; these data were not collected at the time of the phone call.
Individuals with Medical Assistance (MA) receiving Medical Assisted Treatment (MAT) CY 2015-2016 County Human Servicesdata.pa.gov | Last Updated 2018-09-04T17:45:38.000Z
This dataset contains the count of individuals with Medical Assistance coverage (MA) receiving any form of MAT (Medication assisted treatment) by case county. The counts cover calendar years 2015 and 2016.
- API data.pa.gov | Last Updated 2018-08-13T18:42:54.000Z
The Quarterly Census of Employment and Wages (QCEW) dataset provides information about the number of establishments within a geographic area by industry as well as the average number of employees and average weekly wages paid. QCEW is the universe of employment covered under Pennsylvania’s unemployment insurance laws. QCEW employment is based on the location of the position not where the person resides.
- API data.pa.gov | Last Updated 2018-07-25T18:50:47.000Z
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.