pa-gov/industry-partnership-wage-program-py-20132017-gqf2-rjtp
 
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Industry Partnership Wage Program PY 2013-2017 Labor And Industry

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.

Columns

NameSocrata field nameColumn name in sgr mountData typeDescription
Workforce Board Nameworkforce_board_nameworkforce_board_nameTextThe name of the Workforce Development area responsible for the trainings.
Wage % 1-year Changewage_1_year_changewage_1_year_changeNumberThe percentage change in an individual’s wages one year after completing Industry Partnership training *The goal for Labor & Industry is based on receiving $10 million to fund Industry Partnerships. This dataset is for Program Year 2013-2014 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.
Worker IDworker_idworker_idNumberA running count of individuals trained in a given program year and includes duplicates. The final entry represents the total number of individuals trained in that program year. The grand total across program years represents the sum of the final entries for each program year. The number '0' is the only duplicate as it represents Statewide Total.
Training Typetraining_typetraining_typeTextThe name of the type of training the individual received.
Program Yearprogram_yearprogram_yearTextThe Program Year the data in this row represents.
CountcountcountNumberA count of '1' for each row to use for summary queries and visuals.
Year Endyear_endyear_endCalendar dateThe last day date the data is considered for this Program Year.
Upstream Metadata