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
•Children's Health Insurance Program (CHIP) participation records
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
This is a link to the United States Federal Government's Open Data Portal. Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations.
Check out the attachment in the metadata detailing all the Opioid Related datasets contained in this portal.
Data.gov is the federal government’s open data site, and aims to make government more open and accountable. Opening government data increases citizen participation in government, creates opportunities for economic development, and informs decision making in both the private and public sectors.
Links included for Center for Disease Control and Prevention both the business website and their Data and Statistics website.
Nutritious free meals are available for children and teens 18 and younger at many locations throughout the nation while school is out of session through United States Department of Agriculture (USDA) Summer Food Service Program (SFSP). This dataset contains the locations for summer meal sites in 2020, and it was filtered from the USDA's United States dataset to only show locations in Pennsylvania.
View annual counts of Accidental or Undetermined overdose deaths for 2012 forward, including provisional estimates of annual counts of overdose deaths for recent years, as noted with an asterisk and the month the data was pulled. NOTE: Finalized death records for overdose deaths are often delayed by 3-6 months. Counties labeled “no value” have data suppressed because the counts are between 1 and 9.
Dataset includes overdose deaths where the Manner of Death is Accidental or Undetermined.
County complement counts file located here - https://data.pa.gov/Opioid-Related/Estimated-Accidental-and-Undetermined-Drug-Overdos/azzc-q64m
Overdose Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Accidental and Undetermined drug overdose deaths are identified using underlying cause-of-death codes X40–X44, and Y10–Y14, and include
- R99 when the Injury Description indicates an overdose death.
- X49 when literal COD is Mixed or Combined or Multiple Substance Toxicity, as these are likely drug overdoses
- X47 when substance indicated is difluoroethane, alone or in combination with other drugs
Source Pennsylvania Prescription Drug Monitoring Program *
* These data were supplied by the Bureau of Health Statistics and Registries, Harrisburg, Pennsylvania. The Bureau of Health Statistics and Registries speciﬁcally disclaims responsibility for any analyses, interpretations or conclusions.
- Estimates are broken down by type of drugs involved in the overdose
- Any Drug Overdose Death - all drug overdose deaths, regardless of type of drug involved, excluding alcohol only deaths
- Opioid Overdose Death - any overdose death involving opioids, prescription or illegal
Governor's Goal of protecting Pennsylvania's most vulnerable residents and supporting them on a path toward healthy, self-sufficient lives is at the heart of the commonwealth's mission. The commonwealth is responsible for ensuring that vulnerable Pennsylvanians have access to high-quality services and supports – delivered efficiently – that enable them to live, work, and thrive in their communities.
RCRAInfo is an information system constructed and maintained by EPA to support the national hazardous waste program as defined by the Resource Conservation and Recovery Act (RCRA). The system is used by States and Regional/Headquarter EPA, to gain insight into the management of the hazardous waste program at both the state and national level.
Hazardous waste information is contained in the Resource Conservation and Recovery Act Information (RCRAInfo), a national program management and inventory system about hazardous waste handlers. In general, all generators, transporters, treaters, storers, and disposers of hazardous waste are required to provide information about their activities to state environmental agencies. These agencies, in turn pass on the information to regional and national EPA offices. This regulation is governed by the Resource Conservation and Recovery Act (RCRA), as amended by the Hazardous and Solid Waste Amendments of 1984.
The public may use the RCRAInfo Search to determine identification and location data for specific hazardous waste handlers, and to find a wide range of information on treatment, storage, and disposal facilities regarding permit/closure status, compliance with Federal and State regulations, and cleanup activities.
This is a connection to the Western Pennsylvania Regional Data Center in Pittsburgh, to the Pennsylvania Open Data Portal.
The Western Pennsylvania Regional Data Center provides a shared technological and legal infrastructure to support research, analysis, decision making, and community engagement. It was created in 2015 and is managed by the University of Pittsburgh Center for Urban and Social Research, in partnership with Allegheny County and the City of Pittsburgh. The Data Center would not be possible without the trust of our partners and support from the Richard King Mellon Foundation, The Heinz Endowments, and the University of Pittsburgh.
The University Center has long served as a community information intermediary in Allegheny County. Information intermediaries help people find and use information to improve their communities. The Data Center is one in a long line of initiatives of the University Center in this intermediary role. From 2005-2014, the Center operated the Pittsburgh Neighborhood and Community Information System, is home to the Pittsburgh Today regional indicators initiative, and recently launched the Southwestern Pennsylvania Community Profiles community indicators project.
Over time, the University Center realized that the broader use of data in the region was inhibited by the lack of a legal infrastructure, technologies that did not support the dissemination of raw data, incomplete data documentation, and a lack of capacity for managing information in a fragmented political environment. The Data Center provides this infrastructure while institutionalizing the role of a data intermediary within a regional open data infrastructure. In 2013 and 2014, we wrote about our early open data experiences in a two part series (part one, part two).
We are often asked by people in other cities to talk more about the Regional Data Center. We’re happy to do so, and we find that everyone gets the most out of these conversations by first reviewing our document containing lots of background information about the project.
We are a proud partner in the National Neighborhood Indicators Partnership.
In Pennsylvania, as in many other places, job-seekers and employers face the shared challenge of a worker shortage. There are currently more job openings than there are available workers to fill them. Both job-seekers and employers must overcome significant barriers for Pennsylvania to close that gap. Five key barriers have been identified through the Command Center's work: child care, transportation, training, reentry, and professional licensure.