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Post Secondary Completions Total Awards/Degrees SY 2015-16 - Current Education
data.pa.gov | Last Updated 2023-06-14T18:42:27.000ZA listing of completion counts by Institution name, School year and the type of Degrees.
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Post Secondary Enrollment Un-duplicated SY 2002-2003 - Current Education
data.pa.gov | Last Updated 2023-06-14T18:41:31.000ZThe purpose of the 12-Month Enrollment component of IPEDS is to collect unduplicated enrollment counts of all students enrolled for credit and instructional activity data in postsecondary institutions for an entire 12-month period. Data are collected by level of student and by race/ethnicity and gender. Instructional activity is collected as total credit and/or contact hours attempted at the undergraduate, graduate, and doctor's professional levels. Using the instructional activity data reported, a full-time equivalent (FTE) student enrollment at the undergraduate and graduate level is estimated.
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College and Career Readiness Indicators Current, Annual, Education
data.pa.gov | Last Updated 2023-05-17T19:22:00.000ZThese data describe the percentages of students that attained specific education milestones and objectives. The indictor-level definitions can be found here: <a href="https://futurereadypa.org/Home/Glossary">Future Ready Glossary</a> The Industry Based measured are for the 2020-2021 school year, and all other measures are for the 2018-2019 school year,
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Uninsured Population Census Data CY 2009-2014 Human Services
data.pa.gov | Last Updated 2022-10-18T14:19:11.000ZThis 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.
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Industry Certifications Offered By Career and Technical Education Programs SY 2016 - Current Education
data.pa.gov | Last Updated 2024-08-13T18:30:44.000ZThis dataset contains the Industry Certifications offered by each secondary Career and Technical Education (CTE) program for 2016 school year to the available current period. For additional information on Career and Technical Education visit <a href="https://www.education.pa.gov/K-12/Career%20and%20Technical%20Education/Pages/default.aspx">Career and Technical Education</a>.
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Educational Program Report 2017 - Current Education
data.pa.gov | Last Updated 2024-08-13T19:20:03.000ZA report completed for the type of credentialed awards at each Administrative Unit by type of Major or Program area of study including the type of instruction.
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School Performance Profile SY 2015 Education
data.pa.gov | Last Updated 2020-01-02T21:35:25.000ZThis 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.
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Postsecondary Perkins Indicators by Fiscal Agent SY 2017 - Current Education
data.pa.gov | Last Updated 2024-08-13T18:44:24.000ZThis dataset contains the Postsecondary Perkins Indicators by Fiscal Agent for school years. For additional information on Perkins Indicators please visit <a href="https://www.education.pa.gov/K-12/Career%20and%20Technical%20Education/Perkins/Pages/default.aspx">Perkins</a>.
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Career and Technical Education (CTE) Enrollment by Program and School School Year 2015 - Current Education
data.pa.gov | Last Updated 2024-08-13T19:06:25.000ZThis dataset contains the number of enrollees in each program of every school that reported for the 2015 to available current school years. For additional information on Career and Technical Education visit <a href="https://www.education.pa.gov/K-12/Career%20and%20Technical%20Education/Pages/default.aspx">Career and Technical Education</a>. <br>Enroll counts equal to, or below 20, are represented using “ ”.</br>
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Supply/Demand Gap Analysis 2014-2024 State System of Higher Education
data.pa.gov | Last Updated 2022-09-13T22:00:30.000ZUniversities 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.