Pennsylvania Layoffs — January 2017
Employers in Pennsylvania logged 4 WARN Act notices in January 2017, involving roughly 415 workers — falling below December and down 88% versus January 2016. The average filing covered 104 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Retail | 2 | 267 |
| Arts & Entertainment | 1 | 96 |
| Mining & Energy | 1 | 52 |
The Retail sector dominated layoff filings with 267 workers across 2 notices. Meanwhile, Arts & Entertainment reported 96 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Bucks | 1 | 184 |
| Lackawanna | 1 | 96 |
| Beaver | 1 | 83 |
| Lycoming | 1 | 52 |
Bucks absorbed the greatest share of layoffs, accounting for 44% of all affected workers with 184 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Bensalem | 1 | 184 |
| Olyphant | 1 | 96 |
| Monaca | 1 | 83 |
| Williamsport | 1 | 52 |
Layoff Type Analysis
Layoff type classification was not available for filings in Pennsylvania this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Macy's | Bensalem | 184 | ||
| Technicolor Home Entertainment Services | Olyphant | 96 | ||
| Macy's | Monaca | 83 | ||
| Anadarko Petroleum | Williamsport | 52 |
The biggest impact was at Macy's at its Bensalem facility, reporting 184 affected workers. Technicolor Home Entertainment Services followed with 96 workers.
Trend & Outlook
This data points to a easing in workforce disruptions across Pennsylvania, with filings falling below both recent and year-ago levels. The Retail 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.