- API
Employment First Annual OVR Outcomes Current Statewide Labor & Industry
data.pa.gov | Last Updated 2023-02-08T19:15:06.000ZThe following are a selection of annual outcomes of services provided by the Pennsylvania's Department of Labor & Industry's Office of Vocational Rehabilitation. Outcomes include applicants and case outcomes including employment and wages. Key Footnotes: 1) Employed in Competitive Labor Market means employment at or above the minimum wage in settings where most employees do not have disabilities. 2) Estimated Taxes Paid are based on a standard deduction for the year, annual tax brackets and rates established by the IRS, and flat-rate FICA, state, and local taxes. 3) Estimated Total Government Savings are estimated federal, state, and local taxes paid plus annualized public support dollars at closure. 4) Average per Person Cost for a Competitive Employment Placement is the average individual "life of case" cost for all persons having a competitive employment outcome regardless of total number of years receiving services. 5) Average per Person Cost of Services is the average individual "life of case" cost for all persons having an employment outcome regardless of total number of years receiving services. 6) Source: U.S. Department of Labor, Bureau of Labor Statistics, May 2016 State Occupational Employment and Wage Estimates, Pennsylvania, https://www.bls.gov/oes/current/oes_pa.htm#00-0000.
- API
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.
- API
COVID-19 Federal Pharmacy Partners Long Term Care Facility Vaccine Clinics Current Health
data.pa.gov | Last Updated 2024-05-08T15:07:19.000ZThe long-term care facility clinic data shows the facilities that have clinics scheduled for a certain week. These clinics will be held by either CVS or Walgreens through their work to vaccinate within the Federal Pharmacy Partnership. The federal pharmacy partners dataset represents the clinics that CVS and Walgreens are holding for a given week at long-term care facilities that are part of the federal pharmacy mission. These are nursing homes, assisted living facilities, and other long-term care facilities receiving vaccinations. <br> For the Pfizer vaccination the clinics are 3-weeks apart. For the Moderna vaccination the clinics are 4-weeks apart.<br> This dataset will be updated Wednesday’s at 12:00pm.
- API
Campaign Finance Disclosure Expense Data Current State
data.pa.gov | Last Updated 2019-04-16T21:25:15.000ZThis file contains information about expenditures made by candidates, lobbyists or committees for the purpose of influencing elections. It includes the identification number of the filer and information about the election (s) and filing cycle (s) during which expenditures were made, as well as general information about the payees. The data is also available and searchable on www.campaignfinanceonline.pa.gov.
- API
Tobacco Products Tax Licenses Current Daily County Revenue
data.pa.gov | Last Updated 2024-10-09T02:08:29.000ZThis dataset contains a list of active Cigarette and Other Tobacco Product (OTP) licenses that have been issued to businesses selling tobacco products in Pennsylvania, as maintained by the Department of Revenue (DOR). The list is refreshed daily. Newly approved licenses will be added and cancelled or licenses that expire without renewal will be removed. The business addresses are provided by the Licensee and should be the physical location of the business. Tobacco licenses must be conspicuously displayed at the business location. A portion of the license number has been masked, to reduce fraud. If you suspect someone is selling cigarettes or tobacco products without a license, or selling untaxed cigarettes or tobacco products, you can report the suspected tax fraud to the department at https://www.revenue.pa.gov/ContactUs/Pages/Report-Suspected-Tax-Fraud.aspx. You can submit tips anonymously, but documentation and supporting evidence are helpful to investigations.
- API
Dangerous Dogs 1996-Current County Agriculture
data.pa.gov | Last Updated 2020-02-27T14:35:08.000ZHistorical results of Dangerous Dogs in Pennsylvania. A dangerous dog is one that has: (1) Inflicted severe injury on a human being without provocation on public or private property. (2) Killed or inflicted severe injury on a domestic animal, dog or cat without provocation while off the owner’s property. (3) Attacked a human being without provocation. (4) Been used in the commission of a crime. And the dog has either or both of the following: (1) A history of attacking human beings and/or domestic animals, dogs or cats without provocation. (2) A propensity to attack human beings and/or domestic animals, dogs or cats without provocation. *A propensity to attack may be proven by a single incident. Severe injury is defined as, [3 P.S. § 459-102] “Any physical injury that results in broken bones or disfiguring lacerations requiring multiple sutures or cosmetic surgery.” More information can be found here - https://www.agriculture.pa.gov/Animals/DogLaw/Dangerous%20Dogs/Pages/default.aspx More information on Chapter 27 Regulations - https://www.agriculture.pa.gov/Animals/DogLaw/Dangerous%20Dogs/Documents/Chapter%2027%20Dangerous%20Dogs.pdf PDF's for Chapter 27 and Pennsylvania Dog Laws are attached to the metadata
- API
COVID-19 Aggregate Cases NO FURTHER UPDATES
data.pa.gov | Last Updated 2024-05-08T14:25:45.000ZWeekly updates have finished with the June 28th update. Some information may be found here: https://covid.cdc.gov/covid-data-tracker/#maps_new-admissions-rate-state <br> 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. <br> Data will be updated between 11:30 am to 1:30pm each Wednesday.
- API
Safe Drinking Water Facilities Information System for Pennsylvania 2018 - Current Environmental Protection
data.pa.gov | Last Updated 2022-10-24T13:20:24.000ZSafe Drinking Water Information System (SDWIS) is EPA’s national database that manages and collects public water system information from states, including reports of drinking water standard violations, reporting and monitoring violations, and other basic information. The data derived in the State of Pennsylvania is published and searchable online on the www.pa.gov website. This set contains the Water System Facility data, which will be updated annually for the prior calendar year in the first Quarter of the following year.
- API
Lobbying Disclosure Data 2017 State
data.pa.gov | Last Updated 2022-09-23T13:54:37.000ZThis dataset contains summary information on lobbying expenses incurred during the 2017 calendar year. The data is also available and searchable on https://www.palobbyingservices.pa.gov.
- API
Drug and Alcohol Treatment Get Help Now Intake Hotline November 2016 - Current Statewide Drug and Alcohol Programs
data.pa.gov | Last Updated 2023-09-19T14:35:29.000ZThis dataset reports statewide and county numbers of calls and intakes by individuals seeking treatment from hotline staff since the inception of Pennsylvania’s Get Help Now Hotline, text line, and chat line in November 2016. When a field is blank the information is not available; these data were not collected at the time of the phone call.