North Carolina Layoffs — October 2017

Employers in North Carolina reported 2 WARN Act notices in October 2017, displacing an estimated 285 workers and down 78% versus October 2016. The average filing covered 142 workers, with 1 closure among the notices.

2
Notices Filed
285
Workers Affected
142
Avg per Notice
1
Closures

Industry Breakdown

IndustryNoticesWorkers
Manufacturing1208

The Manufacturing sector topped the list of affected industries with 208 workers across 1 notice.

Geographic Hotspots

CountyNoticesWorkers
Guilford1208
Wayne177

Guilford absorbed the greatest share of layoffs, accounting for 73% of all affected workers with 208 workers across 1 notices.

CityNoticesWorkers
Greensboro1208
Burlington177

Layoff Type Analysis

TypeNoticesWorkers
Closure1208
Layoff177

The high proportion of closures (73% of affected workers) suggests structural shifts rather than temporary cutbacks in North Carolina's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
International Textile Group, Inc. (ITG Brands White Oak Plant)Greensboro208Closure2017-10-18
Sapa Extruder, Inc. of Hydro Extrusion North AmericaBurlington77Layoff2017-10-19

The most significant filing came from International Textile Group, Inc. (ITG Brands White Oak Plant) at its Greensboro facility, reporting 208 affected workers. Sapa Extruder, Inc. of Hydro Extrusion North America followed with 77 workers.

Trend & Outlook

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

The numbers illustrate a mixed picture for North Carolina's labor market, with activity diverging between monthly and annual comparisons. The Manufacturing sector warrants close attention heading into the next period.

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

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