This is a listing of structures that are identified as part of the Governor's Bridge Goal and are currently 'Let' for the Calendar Year 2015-2020
LET – award (a contract for a particular project) to an applicant

RBR - This public-private partnership (P3) Rapid Bridge Replacement Project was awarded by the Pennsylvania Department of Transportation (PennDOT) to the consortium of Plenary Walsh Keystone Partners (PWKP). Please note that all dates use the “Let” date for PennDOT projects and the NTP (notice to proceed) dates for the P3 structures.

“N” or “- -“ is null or no information
DEMO - means the structure has been demolished.

This document contains inspection information and may not be used in legal actions or proceedings against the bridge owner. (Reference 65 P.S. Sec 66.1 et sep., 75 pa C.S. Sec 3754 and 23 U.S.C. Sec 409.)

The project is an initiative to replace aging bridges throughout Pennsylvania. Replacing the bridges will provide motorists with new, modern structures and allow PennDOT to remove them from their structurally deficient list.

The bridges are primarily crossings on smaller state highways, many in rural areas, rather than interstate bridges or large river crossings.

General Disclaimer:
This data is a compilation of information from different databases and planned projects (current as of posting), and may contain errors and omissions. Furthermore, all information contained herein is to be used for general informational purposes only and is subject to change without notice. Please see the listed contact for specific data questions. This data also contains structural inspection, project selection and scheduling information that is provided in the interest of transparency without waiving any legal rights. This data may contain essential components of protected safety studies, which are not subject to disclosure or use in legal actions or proceedings against the bridge owner. See 23 U.S.C. § 409; 75 Pa. C.S. § 3754; 65 P.S. § 67.101 et seq.

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.

This dataset is used to produce the School Performance Profile scores found at http://paschoolperformance.org. It is for School Year 2015. School Performance Profile scores are calculated for all open public schools in Pennsylvania. These include regular schools, charter schools, cyber charter schools, and full-time career and technical education centers. The scores reflect one of many indicators of a school’s academic performance.

One of the governor’s goals related to public safety is the Deparment 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.

This data contains summary information for all unconventional spudded wells, drilled starting 7/1/2015 and the new well inspections for each of the spudded wells.

This dataset contains information about individual projects by state agencies through the Governor’s Office of Transformation, Innovation, Management and Efficiency (GO-TIME). Data includes the project name, agency, description, status, cost savings type, non-financial benefits and net savings for the 2015-16 fiscal year. The projects are intended to produce cost savings, efficiency gains, service improvements and other benefits. State agencies are able to reinvest their savings into programs and to offset rising costs in other areas. These efforts have resulted in over $156 million in savings in the 2015-16 fiscal year, exceeding the Governor’s goal of $150 million in savings. With this success, the Governor has now challenged GO-TIME to achieve $500 million in savings by 2020.

GO-TIME uses a standard methodology to calculate cost savings and a project management tool to track agency cost savings estimates and monitor the progress of initiatives on a quarterly basis, ensuring that cost savings are accurately captured and savings goals are achieved.

Actual or estimated expenses are subtracted from savings to determine net project savings. Savings within each year are prorated based on the date of project implementation, with project costs taken in full in the year in which they are incurred.
This data is also published and searchable on the https://www.governor.pa.gov/go-time/ website.

The data submitted reflects the number of trainings of Pennsylvania workers offered by DCED and its affiliate programs in Fiscal Year 2015-2016

This dataset contains summary information on proposed number of pledged jobs to be created/retained that satisfy the jobs that pay requirement (pay at least 80% or higher of the average annual wage of the county where the jobs are located) initiated by the Wolf Administration.

The data collection was not available prior to January 2016.

This dataset is used to produce the School Performance Profile scores found at http://paschoolperformance.org. School Performance Profile scores are calculated for all open public schools in Pennsylvania. These include regular schools, charter schools, cyber charter schools, and full-time career and technical education centers. The scores reflect one of many indicators of a school’s academic performance.

This dataset contains information about individual projects by state agencies through the Governor’s Office of Transformation, Innovation, Management and Efficiency (GO-TIME). Data includes the project name, agency, description, status, cost savings type, non-financial benefits and net savings for the 2015-16 fiscal year. The projects are intended to produce cost savings, efficiency gains, service improvements and other benefits. State agencies are able to reinvest their savings into programs and to offset rising costs in other areas. These efforts have resulted in over $156 million in savings in the 2015-16 fiscal year, exceeding the Governor’s goal of $150 million in savings. With this success, the Governor has now challenged GO-TIME to achieve $500 million in savings by 2020.

GO-TIME uses a standard methodology to calculate cost savings and a project management tool to track agency cost savings estimates and monitor the progress of initiatives on a quarterly basis, ensuring that cost savings are accurately captured and savings goals are achieved.

Actual or estimated expenses are subtracted from savings to determine net project savings. Savings within each year are prorated based on the date of project implementation, with project costs taken in full in the year in which they are incurred.
This data is also published and searchable on the https://www.governor.pa.gov/go-time/ website.