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Alabama Layoffs — April 2014

Employers in Alabama reported 3 WARN Act notices in April 2014, displacing an estimated 1,750 workers — signaling an acceleration from March and up 176% versus April 2013. The average filing covered 583 workers, with 1 closure among the notices.

3
Notices Filed
1,750
Workers Affected
583
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Alabama
IndustryNoticesWorkers
Agriculture1560

The Agriculture sector topped the list of affected industries with 560 workers across 1 notice.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Lauderdale11,100
Houston1560
Jefferson190

Lauderdale saw the most concentrated activity, accounting for 63% of all affected workers with 1,100 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Florence11,100
Dothan1560
Birmingham190

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure11,100
Layoff2650

The high proportion of closures (63% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Hillshire BrandsFlorence1,100Closure
Wayne FarmsDothan560Layoff
Bbva CompassBirmingham90Layoff

The most significant filing came from Hillshire Brands at its Florence facility, reporting 1,100 affected workers. Wayne Farms followed with 560 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The numbers illustrate mounting pressure on the Alabama labor market, with activity running above both recent and year-ago benchmarks. The Agriculture 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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