West Virginia Layoffs — September 2017

Employers in West Virginia filed 3 WARN Act notices in September 2017, impacting roughly 308 workers — representing a notable rise over August. The average filing covered 103 workers, with 2 closures among the notices.

3
Notices Filed
308
Workers Affected
103
Avg per Notice
2
Closures

Industry Breakdown

IndustryNoticesWorkers
Mining & Energy1252
Agriculture156

The Mining & Energy sector led the way in workforce reductions with 252 workers across 1 notice. In a parallel development, Agriculture reported 56 workers.

Geographic Hotspots

CountyNoticesWorkers
Marion1252
Kanawha156
Mason10

Marion felt the sharpest impact, accounting for 82% of all affected workers with 252 workers across 1 notices.

CityNoticesWorkers
Fairview1252
Charleston156
Apple Grove10

Layoff Type Analysis

TypeNoticesWorkers
Layoff1252
Closure256

Closures accounted for 18% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
ERP Federal Mining ComplexFairview252Layoff2017-09-11
Branch Banking and Trust CompanyCharleston56Closure2017-09-11
M & G Polymers USA LLCApple GroveN/AClosure2017-09-21

The single largest action involved ERP Federal Mining Complex at its Fairview facility, reporting 252 affected workers. Branch Banking and Trust Company followed with 56 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The data underscores mounting pressure on the West Virginia labor market, with activity running above both recent and year-ago benchmarks. The Mining & Energy sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by West Virginia. 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 West Virginia WARN notices, browse layoffs by state, or download the full dataset.

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