This dataset contains summary information on overdose responses and naloxone administrations by Pennsylvania criminal justice agencies and some third-party (i.e. EMS, Fire, Medical Staff, etc) first responders voluntarily entering incident data. Due to the voluntary nature of the application, the ODIN information provided may not represent the totality of all overdose and/or naloxone administration incidents involving criminal justice agencies occurring within the Commonwealth. Although this dataset does include some third-party administrations of naloxone, it should not be used to measure overdose response and naloxone administration incidents among all first responders.

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.

When Governor Tom Wolf expanded Medicaid in 2015, more Pennsylvanians than ever were able to access quality health care coverage. The expansion opened up Medicaid to even more people living on low incomes, people who had been diagnosed with substance use disorder, and others.

This page describes information on the impacts of opioids on families and children.

Welcome to the Keystone Economic Development and Workforce Command Center Data Dashboard. The Command Center, created by executive order of Governor Tom Wolf in February 2019, brings an innovative approach to addressing the critical issue of training qualified workers for the jobs Pennsylvania companies need to fill.
Here you will find data related to four themes:
Economic Drivers of Pennsylvania's workforce outcomes, such as local employment growth and business activity;
Information on Pennsylvania's Labor Force, including the state's unemployment and labor force participation rates;
The performance of Pennsylvania's Education and Training programs; and
Barriers to employment for Pennsylvania job-seekers.
Content for the Data Dashboard is updating continually, so please check back often. For more information on the Keystone Economic Development and Workforce Command Center, visit the Command Center website at https://www.pasmart.gov/command-center/

Crash data reported to the Pennsylvania Department of Transportation. Includes data involving drivers, passengers, and motor vehicles for researching highway safety. This data can be used to investigate traffic crashes, fatalities and injuries statewide and in specific counties or municipalities.
An incident that occurs on a highway or traffic way that is open to the public by right or custom and involved
at least one motor vehicle in transport. An incident is reportable if it involves:
Injury to or death of any person, or
Damage to any vehicle to the extent that it cannot be driven under its own power in its
customary manner without further damage or hazard to the vehicle, other traffic elements, or
the roadway, and therefore requires towing.
Crash data does not include non-reportable crashes or near misses
Crash data may not contain complete information, some elements may be unknown

Data fields that may help with CODE4PA 2018 event Leveraging Data to help Fight the Opioid Epidemic
DRUG_RELATED At least one Driver or Pedestrian with Drugs reported or suspected NUMBER
This is a flag that defines whether the crash involved a driver or pedestrian was suspected of using drugs or was actually tested and had drugs in their system. If a driver or pedestrian is suspected and were tested, but the test results show no drugs, this situation would not be included.

DRUGGED_DRIVER At least one Driver with Drugs reported or suspected NUMBER
This flag is similar to drug_related, but it only applies to drivers. It defines whether the crash involved a driver suspected of using drugs or was actually tested and had drugs in their system. If a driver is suspected and were tested, but the test results show no drugs, this situation would not be included.

ILLEGAL_DRUG_RELATED At Least 1 Driver or Pedestrian had reported or suspected Illegal Drug Use NUMBER
This flag is similar to drug_related, but it only applies to illegal drugs. It defines whether the crash involved a driver or pedestrian suspected of using illegal drugs. If a driver is suspected and were tested, but the test results show no drugs, this situation would not be included.

IMPAIRED_DRIVER At least One Driver was Impaired by Drugs or Alcohol NUMBER
This flag is similar to drug_related, but it includes both alcohol and drugs and it only applies to drivers. It defines whether the crash involved a driver suspected of using drugs or alcohol or was actually tested and had drugs or alcohol in their system. If a driver is suspected and were tested, but the test results show no drugs, this situation would not be included.
* For additional information please review the Crash Data Information pdf attachment in the About This Dataset section of the Primer on this dataset.

This page links users commonwealth and regional opioid resources and data

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.

This page is part of the community impacts section and describes impacts on other opioid related diseases such as HEP B, HIV and infectious diseases.

This dataset contains aggregate COVID-19 case counts and rates by date of first report for all counties in Pennsylvania and for the state as a whole. Counts include both confirmed and probable cases as defined by the Council of State and Territorial Epidemiologists (CSTE). At present, a person is counted as a case only once. Note that case counts by date of report are influenced by a variety of factors, including but not limited to testing availability, test ordering patterns (such as day of week patterns), labs reporting backlogged test results, and mass screenings in nursing homes, workplaces, schools, etc. Case reports received without a patient address are assigned to the county of the ordering provider or facility based on provider zip code. Cases reported with a residential address that does not match to a known postal address per the commonwealth geocoding service are assigned to a county based on the zip code of residence. Many zip codes cross county boundaries so there is some degree of misclassification of county. All counts may change on a daily basis due to reassignment of jurisdiction, removal of duplicate case reports, correction of errors, and other daily data cleaning activities. Downloaded data represents the best information available as of the previous day.

Data will be updated between 9-11 am every day.