Governor's Goals, a new resource from the Wolf Administration, sets measurable goals aligned to Governor Wolf's three top priorities: Jobs that Pay, Schools that Teach, and Government that Works.

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.

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.

The data submitted reflects the number of trainings of Pennsylvania workers offered by DCED and its affiliate programs in Fiscal Year 2015-2018

The data depicts each training opportunity completed by individuals through Industry Partnership training funding by Program Year (PY). The file includes all training and the number of individuals that benefited from the training and the workforce development area in which the industry partnership is organized. The data show the amount of training that is driven by employer demand to ensure PA’s employers remain competitive and workers retain employment and enhance their career opportunities.

This is Department of Labor and Industry(DLI) dataset.
There are 5 other Workforce training files from Department of Community and Economic Development (DCED) that when combined with this file support the Governor's Workforce Development Goal of training 340,000 individuals by 2020

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.