The Quarterly Census of Employment and Wages (QCEW) dataset provides information about the number of establishments within a geographic area by industry as well as the average number of employees and average weekly wages paid. QCEW is the universe of employment covered under Pennsylvania’s unemployment insurance laws. QCEW employment is based on the location of the position not where the person resides.
Pennsylvania's current low unemployment rate has created a tight labor market with a shortage of job applicants. Looking ahead, slow population growth and an anticipated surge in retirements present an urgent need to attract more skilled workers to our commonwealth, retain the ones who are already here, and prepare the next generation of workers for in-demand careers.
Welcome to the Keystone Economic Development and Workforce Command Center Data Dashboard. The Command Center, created by executive order of Governor Tom Wolf in February 2019, brings an innovative approach to addressing the critical issue of training qualified workers for the jobs Pennsylvania companies need to fill.
Here you will find data related to four themes:
Economic Drivers of Pennsylvania's workforce outcomes, such as local employment growth and business activity;
Information on Pennsylvania's Labor Force, including the state's unemployment and labor force participation rates;
The performance of Pennsylvania's Education and Training programs; and
Barriers to employment for Pennsylvania job-seekers.
Content for the Data Dashboard is updating continually, so please check back often. For more information on the Keystone Economic Development and Workforce Command Center, visit the Command Center website at https://www.pasmart.gov/command-center/
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.
The data represents the percent change in wages for an individual who has wages recorded in the Unemployment Compensation (UC) wage record file in the quarter in which they completed Industry Partnership training and wages found in the UC wage record file for that individual four quarters later. The change could be an increase or a decrease in wages. For example, if an individual completed training in the third quarter of 2013 and earned $5,000 in that quarter and earned $7,500 in the third quarter of 2014 the percent change for that individual would be 50%. The file incudes a count of all individuals who benefited from industry partnership training, the workforce development area of the industry partnership, the training program completed and the percentage change in wages per individual training. The top line of the file includes the overall percentage change for all trainings.
*The goal for Labor & Industry is based on receiving $10 million to fund Industry Partnerships.
This dataset is for Program Year 2013-2017 and will be updated annually due to federal release schedule.
There are many reasons why an individual’s wage may have changed dramatically. Some of the reasons for negative wage changes or large increases in wages are listed below (not an exhaustive list).
• An individual may have left the job, was laid off, or retired within the year after they were trained.
• An individual may have become ill and left work.
• An individual may have accepted a job in or moved to another state.
• An individual may have been working two jobs and switched to one, or vice versa.
• An individual’s hours may have been reduced/increased during a quarter.
• Overtime hours may have been reduced/increased during a quarter.
• An individual may have taken family leave.
• A bonus could have been paid right after training was completed.
• Wage records may not have been reported.
• An employer may have closed and laid off all of their employees.
Universities 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.