Prior dataset name - Estimated Accidental and Undetermined Drug Overdose Deaths CY 2012-Current County Health

View annual counts of Any Drug 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. Counts do not include suicides or homicides where someone intended to harm another person by poisoning.

Overdose Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are identified using underlying cause-of-death codes X40–X44, and Y10–Y14, and include the following:

- 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

- X85 when it does not appear that someone intended to harm another person by poisoning

Source Office of Drug Surveillance and Misuse Prevention*

* 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.

Any Drug Overdose Death - all drug overdose deaths, regardless of type of drug involved, excluding alcohol only deaths

Persons enrolled in Medical Assistance (Medicaid) for a given month. Includes Temporary Assistance for Needy Families (TANF), General Assistance (GA), Disabled, & Waiver categories.

This is a connection to the Allegheny County's Geographic Information Systems Group's Open Data Portal.
They are pleased to share some of our most comprehensive data sets with the public. You can solve important local issues by exploring and downloading relevant open data, analyzing and combining the datasets using maps, and discovering and building apps.

These datasets are available in a number of formats. You can choose to download them, use REST APIs, or view them directly in an interactive web map. API's provide access as REST, HTML, JSON, GeoJSON, etc.

Please contact Allegheny for any questions or suggestions on datasets at GISHelp@AlleghenyCounty.US

The effects of the opioid epidemic on the criminal justice system are visible in arrests and convictions involving distribution of opioids and reported use of opioids among inmates entering state prisons. Tracking the number of arrests and convictions involving opioids provides a picture of the opioid epidemic across our counties and by age and gender. Likewise, the impact of the epidemic can be seen in the number of incarcerated people who report use of opioids.

This dataset contains summary information on opioid drug seizures and arrests made by Pennsylvania State Police (PSP) personnel, stationed statewide, on a quarterly basis. Every effort is made to collect and record all opioid drug seizures and arrests however, the information provided may not represent the totality of all seizures and opioid arrests made by PSP personnel.
Data is currently available from January 1, 2013 through most current data available.
Seizure
Opioids seized as a result of undercover buys, search warrants, traffic stops and other investigative encounters.
An incident is a Pennsylvania State Police (PSP) recorded violation of the Controlled Substance Act and an entry into the PSP Statistical Narcotics System.
By regulation, entry is made by the PSP as stated in PSP Administrative Regulation 9-6:
When violations of The Controlled Substance, Drug, Device and Cosmetic Act are reported, the required statistical information concerning the incident shall be entered into the Statistical Narcotic Reporting System (SNRS).
Incidents may include undercover buys, search warrants, traffic stops and other investigative encounters
So, an “incident” is not based on any arrest, but on a reported violation, though it often can include arrests.
The incidents that are selected and forwarded to the portal are those that include a record of one or more seizures of the opioid drugs. In turn, a subset of those selected incidents also contains a record of one or more arrests.
This is PSP data only, it would not include any Federal case/incident data.

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.

One of the governor’s goals related to public safety is the Department of Corrections will reduce its state correction population by 5% by 2020. DOC overall total population directly drives the Department’s budget. The baseline for the goal is the total population on June 30, 2015. On June 30, 2015, the Pennsylvania Department of Corrections overall population was 50,366.

This dataset contains the total number of state corrections population in the Department’s custody at the end of each month, including those in prison, in contracted county jails, in community phases of the State Intermediate Punishment (SIP) program, in Parole Violator Centers (PVCs), and on temporary transfer to other jurisdictions.

DOC publishes a Monthly Population Report to the DOC Website (www.cor.pa.gov). The information published to the website includes the data set and breakdown of populations in each institution.

The dataset describes a current state of mail ballot requests for the 2020 General Election. It’s a snapshot in time of the current volume of ballot requests across the Commonwealth.

The mission of Delaware County Planning Department (DCPD) is to promote the sound development and redevelopment of the County through the application of contemporary planning principles and smart growth concepts, while maintaining and enhancing the cultural, economic, and environmental livability of the County.
The portal provides the following categories:
* Maps and Applications - The future of Delaware County and our municipalities is critically important. These applications are part of the Planning Department's goal
to provide resources to support a bright future.
* Planning Corner - The Delaware County Planning Department conducts programs and initiatives to assist municipalities with sound planning practices. The story maps and documents below provide a variety of information, examples and recommendations for county and municipal planners.
* A Data Inventory for subject areas such as boundaries, infrastructure, environment, and community.
For more information or questions contact - planning_department@co.delaware.pa.us

This dataset contains aggregate data by county of residence and by race for individuals that received a COVID vaccination. Data includes counts of individuals who received a vaccine dose that provides partial coverage against the disease and counts of individuals that received a vaccine dose that provides full coverage against the disease. Suppression applies for quantities less than 5.

Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System.

Fully Vaccinated means that the person has received the necessary number of COVID-19 vaccines at the recommended time intervals.

First Booster Doses (Administered Since August 13, 2021)

First Booster doses administered since August 13, 2021 includes vaccinations beyond the primary series administered to the suggested groups at the recommended intervals on or after 08-13-2021 following CDC guidelines. Such vaccinations are commonly called booster doses. This category also includes additional does of COVID vaccine administered on or after 08-13-2021 to immunocompromised individual at the CDC recommended interval.

Second Booster Doses (Administered Since March 29, 2022)

Second booster doses administered since March 29, 2022 includes mRNA vaccinations beyond the primary series and one additional COVIDS vaccine as a second booster dose administered on or after 03-29-2022 to individuals ages 50+ at the recommended intervals per CDC guidelines. This category also includes additional doses of mRNA COVID vaccines administered on or after 03-29-2022 to immunocompromised individual at the CDC recommended internal.