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.

Local area labor force information. Information by calendar year including labor force, employed, unemployed, and unemployment rate. Statewide and county statistics.

This dataset is quarterly data by county, including inmate admissions, average Texas Christian University Drug Screen II (TCU) score, number and percent of inmate admissions who identify opioids as top three drug of choice, inmates with a substance abuse problem, and number and percent who used opioids in the year prior to admission.
This data is available starting with the first Quarter of Calendar Year 2018.

Data provides 2013-2014 undergraduate student enrollment in engineering, biological and biomedical science, mathematics and physical sciences at Pennsylvania’s publicly supported institutions.
Data is collected in the Spring and reported out in the Fall

This dataset contains the total counts of PA Department of Human Services (DHS) Medical Assistance (MA) individuals diagnosed with Opioid Use Disorder (OUD) or OUD Poisoning. Also included are individuals receiving MAT (Medication assisted treatment - the use of medications in combination with counseling and behavioral therapies for the treatment of substance use disorders.) NOT diagnosed in the same period. Limited to the Newly Eligible (Under the Medical Assistance Expansion Program. Find more information here: http://www.dhs.pa.gov/cs/groups/webcontent/documents/document/c_257436.pdf) segment of DHS population. Internally defined as DHS Category of Assistance = MG (Modified Adjusted Gross Income - MAGI) MG and Program Status = 91 (Newly Eligible). Counts are reported by Pennsylvania case county and covers calendar years 2015 -2017.

County rates of hospitalizations for opioid overdose per 100,000 residents ages 15 and older.

This analysis is restricted to Pennsylvania residents age 15 and older who were hospitalized in Pennsylvania general acute care hospitals.

Universities have historically operated under a supply-driven model, wherein learners seek out programs and degrees offered by the institution regardless of business need. In order to better align programs and identify opportunities for university and learner success, new approaches must be undertaken at various levels within the institution. To address this need, the State System conducted original research in 2016 and produced Pennsylvania’s first comprehensive gap analysis study.

2018 estimated municipal liquid fuels allocations report. As of September 18, 2017.
A note of caution: A municipality can update information at any time after submission of a form. The Municipal Statistics site is built to reflect any data updates, the following day, in the Public Reports section of the Municipal Statistics site. http://munstats.pa.gov/public/

This data is pulled from the U.S. Census website. This data is for years 2009-2014.
Product: SAHIE File Layout Overview
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 data depicts each training opportunity completed by individuals through Industry Partnership training funding by Program Year (PY). The file includes all training and the number of individuals that benefited from the training and the workforce development area in which the industry partnership is organized. The data show the amount of training that is driven by employer demand to ensure PA’s employers remain competitive and workers retain employment and enhance their career opportunities.

This is Department of Labor and Industry(DLI) dataset.
There are 5 other Workforce training files from Department of Community and Economic Development (DCED) that when combined with this file support the Governor's Workforce Development Goal of training 340,000 individuals by 2020