Employers in Pennsylvania posted 4 WARN Act notices in February 2023, affecting an estimated 264 workers — reflecting a cooling compared to January and down 56% versus February 2022. The average filing covered 66 workers, with 3 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Utilities | 1 | 70 |
The Utilities sector saw the heaviest impact with 70 workers across 1 notice.
| County | Notices | Workers |
|---|---|---|
| Lancaster | 2 | 114 |
| Lycoming | 1 | 80 |
| Westmoreland | 1 | 70 |
Lancaster was the epicenter of layoff activity, accounting for 43% of all affected workers with 114 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Williamsport | 1 | 80 |
| Westmoreland | 1 | 70 |
| Lancaster | 1 | 57 |
| Type | Notices | Workers |
|---|---|---|
| Closure | 3 | 184 |
| Layoff | 1 | 80 |
The high proportion of closures (70% of affected workers) suggests structural shifts rather than temporary cutbacks in Pennsylvania's labor market.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Shop-Vac USA, LLC | Williamsport | 80 | Layoff | 2023-02-01 |
| NRG Energy, Inc | Westmoreland | 70 | Closure | 2023-02-01 |
| Johnson & Johnson Consumer, Inc | Lancaster | 57 | Closure | 2023-02-01 |
| Johnson & Johnson Consumer, Inc | 57 | Closure | 2023-02-28 |
The largest notice was filed by Shop-Vac USA, LLC at its Williamsport facility, reporting 80 affected workers. NRG Energy, Inc followed with 70 workers.
The trends suggest a easing in workforce disruptions across Pennsylvania, with filings falling below both recent and year-ago levels. The Utilities sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Pennsylvania. The Worker Adjustment and Retraining Notification (WARN) Act requires employers with 100+ employees to provide 60-day advance notice of mass layoffs and plant closings. Data is updated daily by WARN Firehose. View all Pennsylvania WARN notices, browse layoffs by state, or download the full dataset.
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