Alabama Layoffs — September 2013

Employers in Alabama logged 3 WARN Act notices in September 2013, involving roughly 1,213 workers — climbing above August and up 385% versus September 2012. The average filing covered 404 workers, with 2 closures among the notices.

3
Notices Filed
1,213
Workers Affected
404
Avg per Notice
2
Closures

Industry Breakdown

IndustryNoticesWorkers
Manufacturing11,100
Mining & Energy153

The Manufacturing sector dominated layoff filings with 1,100 workers across 1 notice. Meanwhile, Mining & Energy reported 53 workers.

Geographic Hotspots

CountyNoticesWorkers
Lawrence11,100
Walker160
Jefferson153

Lawrence was the epicenter of layoff activity, accounting for 91% of all affected workers with 1,100 workers across 1 notices.

CityNoticesWorkers
Courtland11,100
Jasper160
Birmingham153

Layoff Type Analysis

TypeNoticesWorkers
Closure21,160
Layoff153

The high proportion of closures (96% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
International Paper-Courtland MillCourtland1,100Closure2013-09-11
Twin Pines, LLCJasper60Closure2013-09-17
Rock Mountain Mining, LLCBirmingham53Layoff2013-09-17

The biggest impact was at International Paper-Courtland Mill at its Courtland facility, reporting 1,100 affected workers. Twin Pines, LLC followed with 60 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

This data points to mounting pressure on the Alabama 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 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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