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Pennsylvania Layoffs — May 2022

Employers in Pennsylvania recorded 4 WARN Act notices in May 2022, covering approximately 963 workers and up 525% versus May 2021. The average filing covered 241 workers, with 0 closures among the notices.

4
Notices Filed
963
Workers Affected
241
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Pennsylvania
IndustryNoticesWorkers
Manufacturing3865
Transportation198

The Manufacturing sector accounted for the largest share of job cuts with 865 workers across 3 notices. At the same time, Transportation reported 98 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Lancaster1606
Lackawanna1217
Monroe198
Bucks142

Lancaster saw the most concentrated activity, accounting for 63% of all affected workers with 606 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Lancaster1606
Moosic1217
Tannersville198
Langhorne142

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff4963

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Armstrong FlooringLancaster606Layoff
Preferred Meals SystemsMoosic217Layoff
Neovia Logistics ServicesTannersville98Layoff
Silgan Plastics LLC (Silgan)Langhorne42Layoff

Leading the list was Armstrong Flooring at its Lancaster facility, reporting 606 affected workers. Preferred Meals Systems followed with 217 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

The filings reflect mounting pressure on the Pennsylvania labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing 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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