Pennsylvania Layoffs — August 2016

Employers in Pennsylvania submitted 9 WARN Act notices in August 2016, putting at risk an estimated 765 workers — down from July and down 53% versus August 2015. The average filing covered 85 workers, with 0 closures among the notices.

9
Notices Filed
765
Workers Affected
85
Avg per Notice
0
Closures

Industry Breakdown

Industry classification was not available for filings in Pennsylvania this month. A total of 765 workers were affected across 9 notices.

Geographic Hotspots

CountyNoticesWorkers
Washington1155
Montgomery1148
Philadelphia2144
Schuylkill1120
Lancaster190

Washington felt the sharpest impact, accounting for 20% of all affected workers with 155 workers across 1 notices.

CityNoticesWorkers
Houston1155
North Wales1148
Philadelphia2144
Pottsville1120
Elizabethtown190

Layoff Type Analysis

Layoff type classification was not available for filings in Pennsylvania this month.

Largest Layoffs

CompanyCityWorkersTypeDate
Caterpillar, IncHouston1552016-08-01
Merck & Co., IncNorth Wales1482016-08-01
Broder BrosPhiladelphia1432016-08-01
Gordon Food ServicePottsville1202016-08-01
American Air Filter Company IncElizabethtown902016-08-01
Rohrer CorporationLewistown552016-08-01
Thorley Industries LLCPittsburgh532016-08-01
Mondelez InternationalPhiladelphia12016-08-01
*UPDATE* Murray American TransportationMonessen02016-08-01

Topping the list was Caterpillar, Inc at its Houston facility, reporting 155 affected workers. Merck & Co., Inc followed with 148 workers.

Trend & Outlook

These figures highlight a easing in workforce disruptions across Pennsylvania, with filings falling below both recent and year-ago levels.

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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