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.

This is a connection to the Crawford County Government public platform for exploring and downloading open data, discovering and building apps, and engaging to solve important local issues. You can analyze and combine Open Datasets using maps, as well as develop new web and mobile applications. Let's make our great community even better, together!

Web/Data Disclaimer:
Click here for Crawford County, PA GIS Web/Data Disclaimer

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.

This dataset contains aggregate data 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.

The intent of the data is to provide an overview of cumulative state and federal expenditures dedicated to COVID-19 preparedness and response. Where applicable, detail information is provided at the agency/fund/commitment-item level.

Find abbreviation descriptions in the excel attachment below

Scope of data includes expenditures attributed to federal funding provided through the Coronavirus Aid, Relief, and Economic Security Act (“CARES Act”) (PL 116-136), the Coronavirus Preparedness and Response Supplemental Appropriations Act (PL 116-123), the Families First Coronavirus Response Act (PL 116-127), and the Robert T. Stafford Disaster Relief and Emergency Assistance Act (“Stafford Act”)(PL 100-707); state expenditures attributed to the Governor’s disaster proclamation; and all other state expenditures incurred in response to the COVID-19 pandemic. Due to non-applicability and/or immateriality, state expenditures uniquely assigned as matching funds for federal awards are not included within the detail. In most circumstances, federal matching requirements were waived in response to COVID-19.

Expenditure data contained within the dataset is extracted from the Funds Management (FM) module of the Commonwealth’s accounting system (SAP). Expenditures, reported as cumulative through the end of the defined reporting period, are generally recognized and recorded when a liability to make a payment is incurred, regardless of when the cash disbursement is to be made. Unique account assignments have been established and utilized independently by each Commonwealth agency/program to distinguish expenditures attributed to the COVID-19 pandemic.

Please note that the data reported may not reconcile directly to spending reported to the federal government for the same period due to differences in how spending is grouped or classified, or due to specific data submission requirements.

This dataset contains aggregate data of COVID vaccines administered to citizens based on zip code of residence. 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.

Effective 7/9/2021, the COVID-19 Vaccine Dashboard is updated to more accurately reflect the number of people who are partially and fully vaccinated in each county outside of Philadelphia, along with the demographics of those receiving vaccine. For state-to-state comparisons refer to the CDC vaccine data tracker located here: https://covid.cdc.gov/covid-data-tracker/#county-view

Three different measures of recidivism (rearrest, reincarceration, and overall recidivism) have been used by the DOC in a recent report to further explore the effects of recidivism on the criminal justice system. The DOC defines rearrest as: “the first instance of arrest after the individual is released from the custody of the DOC.” The DOC defines reincarceration as: “the first instance of returning to the custody of the DOC after the individual is released from the DOC.” The DOC defines overall recidivism as: “the first instance of any type of rearrest or reincarceration after the individual is released from the DOC.”

- The 3-year rearrest rates have been consistently higher than the 3-year reincarceration rates.
- The overall recidivism rates have remained relatively stable.
- From 2000 to 2013, rearrest rates appear to grow consistently before trending downward in recent years (e.g. 3-year rate has been below 50.0% in 4 of the last 5 years).
- The 2013 3-year reincarceration rate was down slightly at 43.7%, still lower than all the 3-year rates prior to 2008.
- The 2013 3-year overall recidivism rate dropped to 60.9%. This was the second lowest overall recidivism rate in the past 13 years (with 2011 being lowest at 59.9%)
- The 2015 1-year rates were all up slightly.

These statistics are based on a cohort of inmates.