Medicaid provides health coverage to millions of Americans, including children, pregnant women, parents, seniors and individuals with disabilities. In some states the program covers all low-income adults below a certain income level.

1850 Agricultural Production in Pennsylvania
Created with data compiled from 1850 U.S. Census, Schedule 4 & shapefile from Atlas of Historical County Boundaries. Methodology: http://bit.ly/2n8qHXO

Agriculture has guided Pennsylvania's economic growth and cultural development and has profoundly shaped the lands and people of the Commonwealth. The 1850 Federal Decennial Census was the first time in history that data was collected on agricultural production at a national scale. The census manuscripts for Pennsylvania were digitized by PHMC from the original documents in the collections of the National Archives and Records Administration.
This dataset includes agricultural production data compiled from Schedule 4 - Productions of Agriculture of the 1850 census and aggregated at the county and municipality level.
The visualization combines a timeless practice with the latest advancements in technology. The interactive map of Pennsylvania depicting the value of farms and amounts of livestock provides users with a glimpse into agricultural life in 1850.

This dataset contains summary information on numbers for all jobs pledged to be created and retained through the Department of Community and Economic Development.

The data collection started January 20th, 2015. The beginning of the Wolf Administration.

This is a connection to the Allegheny County's Geographic Information Systems Group's Open Data Portal.
They are pleased to share some of our most comprehensive data sets with the public. You can solve important local issues by exploring and downloading relevant open data, analyzing and combining the datasets using maps, and discovering and building apps.

These datasets are available in a number of formats. You can choose to download them, use REST APIs, or view them directly in an interactive web map. API's provide access as REST, HTML, JSON, GeoJSON, etc.

Please contact Allegheny for any questions or suggestions on datasets at GISHelp@AlleghenyCounty.US

This interactive stacked bar graph depicts the amount of opioids, in kilograms, seized by the Pennsylvania State Police quarterly, by county. Use the drop-down menus to select quarter and year to see the amount of opioids seized by the Pennsylvania State Police in each county. Care should be taken regarding inferences made about the location in which opioids are seized as drugs can be transient and therefore seized in areas other than their origination or destination. The opioid seizures reflected on this graph may not include all active investigations by the Pennsylvania State Police.

This interactive map depicts the amount of opioids, in kilograms, seized by the Pennsylvania State Police quarterly, by county. Use the drop-down menus to select quarter and year to see the amount of opioids seized by the Pennsylvania State Police in each county. The drug drop-down menu will allow you to view a separate map for each opioid drug type. Care should be taken regarding inferences made about the location in which opioids are seized as drugs can be transient and therefore seized in areas other than their origination or destination. The opioid seizures reflected on this map may not include all active investigations by the Pennsylvania State Police.

This indicator includes the number of days hospitalized for Opioid Use Disorder and the estimated lost wages due to hospitalization.
Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH.
PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers.

This indicator includes the estimated lifetime wages lost due to premature opioid-related mortality.

This indicator includes the estimated lifetime wages lost due to premature opioid-related mortality.