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Delinquency Disposition Rate per Juvenile Population CY 2018 by County Map
data.pa.gov | Last Updated 2020-09-08T19:15:28.000ZThere were 22,023 delinquency dispositions in Pennsylvania during Calendar Year (CY) 2018. This represents a 1.3% decrease from 2017 and a 13.4% decrease since 2014. Allegheny County reported a decrease of 17.0% from 2017 to 2018, and Philadelphia County reported a 5.9% decrease for this time period. One-third of the total dispositions occurred in the four jurisdictions reporting more than 1,000 dispositions; these jurisdictions include Philadelphia, Allegheny, York, and Delaware.<br />This dataset is contained within the Juvenile Court Judges' Commissions 2018 Juvenile Court Annual Report; this report provides an overview of Pennsylvania juvenile court statistics, during 2018 and preceding years, to measure and quantify work across the state by juvenile justice professionals.<br />In Pennsylvania, juvenile court jurisdiction extends over individuals who have been alleged to have committed a delinquent act, as defined by 42.<br />Pa. C. S. § 6301 et seq., on or after their tenth birthday and prior to reaching eighteen years of age. Juvenile court supervision can extend until the<br />individual is twenty-one years of age if the individual is currently under supervision. Age for purposes of this section was calculated from the<br />juvenile’s date of birth to the date of the offense in the written allegation.
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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.
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Uninsured Population Census Data 1-year estimates 2017-Current Statewide Human Services and Insurance
data.pa.gov | Last Updated 2022-02-21T19:25:46.000ZThe American Community Survey (ACS) helps local officials, community leaders, and businesses understand the changes taking place in their communities. It is the premier source for detailed population and housing information about our nation. This dataset provides estimates for Health Insurance Coverage in Pennsylvania and is summarized from summary table S2701: SELECTED CHARACTERISTICS OF HEALTH INSURANCE COVERAGE IN THE UNITED STATES. A blank cell within the dataset indicates that either no sample observations or too few sample observations were available to compute the statistic for that area. 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. While an ACS 1-year estimate includes information collected over a 12-month period, an ACS 5-year estimate includes data collected over a 60-month period. In the case of ACS 1-year estimates, the period is the calendar year (e.g., the 2015 ACS covers the period from January 2015 through December 2015).
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Newly Identified Confirmed Chronic Hepatitis C Age 15-34 Year 2007-2016 Health
data.pa.gov | Last Updated 2022-10-17T20:05:23.000ZThis data set provides an estimate of the number of people aged 15-34 years with newly identified confirmed chronic (or past/present) hepatitis C infection, by county and by year. The dataset is limited to persons aged 15 to 34 because hepatitis C infection is usually asymptomatic for decades after infection occurs. Cases are usually identified because they have finally become symptomatic, or they were screened. Until very recently, screening for hepatitis C was not routinely performed. This makes it very challenging to identify persons with recent infection. Limiting the age of newly identified patients to 15-34 years makes it more likely that the cases included in the dashboard were infected fairly recently. It is not meant to imply that the opioid crisis’ effect on hepatitis C transmission is limited to younger people. The process by which case counts are determined is as follows: Case reports, which include lab test results and address data, are sent to Pennsylvania’s electronic disease surveillance system (PA-NEDSS). Confirmation status is determined by public health investigators who evaluate test results against the CDC case definition for hepatitis C in place for the year in which the patient was first reported (https://wwwn.cdc.gov/nndss/conditions/hepatitis-c-chronic/). Reportable disease data, including hepatitis C, is extracted from PA-NEDSS, combined with similar data sent by the Philadelphia Department of Public Health (PDPH, which uses a separate surveillance system), and sent to CDC. Case data sent to CDC (from PA-NEDSS and PDPH combined) are used to create a statewide reportable disease dataset. This statewide file was used to generate the dashboard dataset. Note that the term that CDC has used to denote persons with hepatitis C infection that is not known to be acute has switched back and forth between “Hepatitis C, past or present” and “Hepatitis C, chronic” over the past several years. The CDC case definition for hepatitis C, chronic (or past or present) changed in 2005, 2010, 2011, 2012, and 2016. Persons reported as confirmed in one year may not have been considered confirmed in another year. For example, patients with a positive radioimmunoblot assay (RIBA) or elevated enzyme immunoassay (EIA) signal-to-cutoff level were counted as confirmed in 2012, but not counted as confirmed in 2016. Data sent to CDC’s National Notifiable Disease Surveillance System use a measure for aggregating cases by year called the MMWR year. The MMWR, or the Morbidity and Mortality Weekly Report, is an official publication by CDC and the means by which CDC has historically presented aggregated case count data. Since data in the MMWR are presented by week, the MMWR year always starts on the Sunday closest to Jan 1 and ends on the Saturday closest to Dec 31. The most recent year for which case counts are finalized is 2016. Annual case counts are finalized in May of the following year. The patient zip code, as submitted to PA-NEDSS, is used to determine the case’s county of residence at the time of initial case report. In some instances, the patient zip code is unavailable. In those circumstances, the zip code of the provider that ordered the lab test is used as a proxy for patient zip code. Users should note that the state prison system routinely screens all incoming inmates for hepatitis C. If these inmates are determined to be confirmed cases, they are assigned to the county in which they were incarcerated when their confirmed hepatitis C was first identified. Hepatitis C case counts in counties with state prisons should be interpreted cautiously in light of this enhanced screening activity.
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Annual Newly Diagnosed HIV Cases per 100,000 Individuals in Pennsylvania and Newly Diagnosed HIV Cases Among Individuals Using Injection Drugs per 100,000 Individuals Estimated with Drug Use Disorder
data.pa.gov | Last Updated 2023-06-07T13:30:59.000ZThis indicator includes the count and rate of newly diagnosed cases of HIV through injection drug use per 100,000 individuals estimated to have Drug Use Disorder.
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Uninsured Population Census Data 5-year estimates for release years 2017-Current County Human Services and Insurance
data.pa.gov | Last Updated 2022-02-21T19:25:39.000ZThe American Community Survey (ACS) helps local officials, community leaders, and businesses understand the changes taking place in their communities. It is the premier source for detailed population and housing information about our nation. This dataset provides estimates by county for Health Insurance Coverage and is summarized from summary table S2701: SELECTED CHARACTERISTICS OF HEALTH INSURANCE COVERAGE IN THE UNITED STATES. The 5-year estimates are used to provide detail on every county in Pennsylvania and includes breakouts by Age, Gender, Race, Ethnicity, Household Income, and the Ratio of Income to Poverty. An blank cell within the dataset indicates that either no sample observations or too few sample observations were available to compute the statistic for that area. 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. While an ACS 1-year estimate includes information collected over a 12-month period, an ACS 5-year estimate includes data collected over a 60-month period. In the case of ACS 1-year estimates, the period is the calendar year (e.g., the 2015 ACS covers the period from January 2015 through December 2015). In the case of ACS multiyear estimates, the period is 5 calendar years (e.g., the 2011–2015 ACS estimates cover the period from January 2011 through December 2015). Therefore, ACS estimates based on data collected from 2011–2015 should not be labeled “2013,” even though that is the midpoint of the 5-year period. Multiyear estimates should be labeled to indicate clearly the full period of time (e.g., “The child poverty rate in 2011–2015 was X percent.”). They do not describe any specific day, month, or year within that time period.
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Emissions Inventory System (EIS) Emissions 2017 - Current Semi-Annual County Environmental Protection
data.pa.gov | Last Updated 2021-07-27T14:37:45.000ZEPA's Emissions Inventory System (EIS) contains information about sources that emit criteria air pollutants (CAPs) and hazardous air pollutants (HAPs). The EIS includes estimates of annual air pollutant emissions from point, non-point, and mobile sources in the Pennsylvania counties. EPA collects information about emission sources and releases an updated version of the NEI database every three years. The data made available in the NEI are used for air dispersion modeling, regional strategy development, setting regulations, air toxins risk assessment, and tracking trends in emissions over time. The data derived in the State of Pennsylvania is published and searchable online on the www.pa.gov website. This data will be updated annually for the prior calendar year in the first Quarter of the following year.
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Individuals under Medical Assistance (Newly Eligible) Diagnosed with Opioid Use Disorder CY 2015-Current Annual County Human Services
data.pa.gov | Last Updated 2024-03-22T12:16:09.000ZThis 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 -2018.
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Delinquency Disposition Rate per Juvenile Population CY 2018 by County Chart
data.pa.gov | Last Updated 2020-09-08T19:11:57.000ZThere were 22,023 delinquency dispositions in Pennsylvania during Calendar Year (CY) 2018. This represents a 1.3% decrease from 2017 and a 13.4% decrease since 2014. Allegheny County reported a decrease of 17.0% from 2017 to 2018, and Philadelphia County reported a 5.9% decrease for this time period. One-third of the total dispositions occurred in the four jurisdictions reporting more than 1,000 dispositions; these jurisdictions include Philadelphia, Allegheny, York, and Delaware.<br />This dataset is contained within the Juvenile Court Judges' Commissions 2018 Juvenile Court Annual Report; this report provides an overview of Pennsylvania juvenile court statistics, during 2018 and preceding years, to measure and quantify work across the state by juvenile justice professionals.<br />In Pennsylvania, juvenile court jurisdiction extends over individuals who have been alleged to have committed a delinquent act, as defined by 42.<br />Pa. C. S. § 6301 et seq., on or after their tenth birthday and prior to reaching eighteen years of age. Juvenile court supervision can extend until the<br />individual is twenty-one years of age if the individual is currently under supervision. Age for purposes of this section was calculated from the<br />juvenile’s date of birth to the date of the offense in the written allegation.
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View using General Election Mail Ballot Request by County, Applicant Party Designation with Counts
data.pa.gov | Last Updated 2022-02-21T16:54:23.000ZThis view is created from the 2020 General Election Mail Ballot Requests dataset which describes the current state of mail ballot requests. It’s a snapshot in time of the current volume of ballot requests across the Commonwealth. This view is created to assist with analyzing the original dataset of over 3M rows. This view is an aggregated count of rows by County and by Party Designation. Original Dataset is here - https://data.pa.gov/Government-Efficiency-Citizen-Engagement/2020-General-Election-Mail-Ballot-Requests-Departm/mcba-yywm