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Tennessee Layoffs — February 2023

Employers in Tennessee submitted 6 WARN Act notices in February 2023, putting at risk an estimated 835 workers and up 1185% versus February 2022. The average filing covered 139 workers, with 0 closures among the notices.

6
Notices Filed
835
Workers Affected
139
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Tennessee
IndustryNoticesWorkers
Manufacturing4405
Retail1288
Transportation1142

The Manufacturing sector emerged as the hardest-hit sector with 405 workers across 4 notices. Separately, Retail reported 288 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Shelby2420
Hamilton1156
Wilson1142
Bedford167
Roane150

Shelby bore the heaviest burden, accounting for 50% of all affected workers with 420 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Memphis3430
Nashville1288
Shelbyville167
Rockwood150

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
American Car CenterNashville288
ThyssenKruppMemphis156
CEVA LogisticsMemphis142
American SnuffMemphis132
National PenShelbyville67
Befesa Zinc USRockwood50

Topping the list was American Car Center at its Nashville facility, reporting 288 affected workers. ThyssenKrupp followed with 156 workers.

Trend & Outlook

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

These figures highlight mounting pressure on the Tennessee 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 Tennessee. 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 Tennessee WARN notices, browse layoffs by state, or download the full dataset.

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