This indicator includes the estimated lifetime wages lost due to premature opioid-related mortality. This value is the sum of the product of the number of years of life lost due to premature opioid-related mortality and the average quarterly wages for county of residence—as reported by the Bureau of Labor Statistics—adjusted for inflation and then discounted.
Represents a comprehensive collection of occupational wage data available for Pennsylvania. Data are collected through the Occupational Employment Statistics program in cooperation with the U.S. Department of Labor’s Bureau of Labor Statistics. Occupational wage information can be used as a reference by educators, PACareerLink® staff, career counselors, Workforce Development Boards, economic developers, program planners, and others.
Occupational wages do not represent a time series. Due to the prescribed production methodology, current occupational wages are not comparable to previously published occupational wages.
This indicator includes the number of days hospitalized for opioid use and the estimated lost wages due to hospitalization (PHC4 Data). This value is the product of the number of days hospitalized and the average weekly wages for county of residence—as reported by the Bureau of Labor Statistics—divided by seven.
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.
Analyses were completed by the University of Pittsburgh using data from the PA Health Care Cost Containment Council and in cooperation with PA DOH.
This indicator includes the number of days hospitalized for Opioid Use Disorder and the estimated lost wages due to hospitalization.
This data view is filtered by Annual date and All Ages for All genders based from the original dataset.