Alabama Layoffs — April 2012

Employers in Alabama filed 3 WARN Act notices in April 2012, impacting roughly 322 workers — representing a notable rise over March and up 87% versus April 2011. The average filing covered 107 workers, with 3 closures among the notices.

3
Notices Filed
322
Workers Affected
107
Avg per Notice
3
Closures

Industry Breakdown

IndustryNoticesWorkers
Information & Technology2219

The Information & Technology sector led the way in workforce reductions with 219 workers across 2 notices.

Geographic Hotspots

CountyNoticesWorkers
Cullman1181
Tuscaloosa1103
Baldwin138

Cullman was the epicenter of layoff activity, accounting for 56% of all affected workers with 181 workers across 1 notices.

CityNoticesWorkers
Cullman1181
Cottondale1103
Gulf Shores138

Layoff Type Analysis

TypeNoticesWorkers
Closure3322

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

Largest Layoffs

CompanyCityWorkersTypeDate
Aar Mobility Systems (Formerly Summa Technology)Cullman181Closure2012-04-24
Johnson ControlsCottondale103Closure2012-04-23
Connexion TechnologiesGulf Shores38Closure2012-04-16

The single largest action involved Aar Mobility Systems (Formerly Summa Technology) at its Cullman facility, reporting 181 affected workers. Johnson Controls followed with 103 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The data underscores mounting pressure on the Alabama labor market, with activity running above both recent and year-ago benchmarks. The Information & Technology 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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