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Alabama Layoffs — September 2020

Employers in Alabama submitted 2 WARN Act notices in September 2020, putting at risk an estimated 637 workers — up substantially from August and up 225% versus September 2019. The average filing covered 318 workers, with 1 closure among the notices.

2
Notices Filed
637
Workers Affected
318
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Alabama
IndustryNoticesWorkers
Transportation1550
Utilities187

The Transportation sector emerged as the hardest-hit sector with 550 workers across 1 notice. Separately, Utilities reported 87 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Colbert1550
Washington187

Colbert saw the most concentrated activity, accounting for 86% of all affected workers with 550 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Cherokee1550
Leroy187

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure1550
Layoff187

The high proportion of closures (86% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
FreightCar AmericaCherokee550Closure
PowerSouth Energy COOPLeroy87Layoff

Topping the list was FreightCar America at its Cherokee facility, reporting 550 affected workers. PowerSouth Energy COOP followed with 87 workers.

Trend & Outlook

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

These figures highlight mounting pressure on the Alabama labor market, with activity running above both recent and year-ago benchmarks. The Transportation sector warrants close attention heading into the next period.

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

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