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Virginia Layoffs — May 2016

Employers in Virginia logged 2 WARN Act notices in May 2016, involving roughly 366 workers — climbing above April and up 61% versus May 2015. The average filing covered 183 workers, with 2 closures among the notices.

2
Notices Filed
366
Workers Affected
183
Avg per Notice
2
Closures

Industry Breakdown

Industry breakdown for Virginia
IndustryNoticesWorkers
Construction1219
Manufacturing1147

The Construction sector dominated layoff filings with 219 workers across 1 notice. Meanwhile, Manufacturing reported 147 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Franklin1219
Frederick1147

Franklin was the epicenter of layoff activity, accounting for 60% of all affected workers with 219 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Rocky Mount1219
Winchester1147

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure2366

The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Virginia's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Innovative Buildings SystemsRocky Mount219Closure
Midwesco Filter ResourcesWinchester147Closure

The biggest impact was at Innovative Buildings Systems at its Rocky Mount facility, reporting 219 affected workers. Midwesco Filter Resources followed with 147 workers.

Trend & Outlook

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

This data points to mounting pressure on the Virginia labor market, with activity running above both recent and year-ago benchmarks. The Construction sector warrants close attention heading into the next period.

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

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