Alabama Layoffs — April 2018

Employers in Alabama filed 6 WARN Act notices in April 2018, impacting roughly 428 workers — representing a pullback from March and up 50% versus April 2017. The average filing covered 71 workers, with 1 closure among the notices.

6
Notices Filed
428
Workers Affected
71
Avg per Notice
1
Closures

Industry Breakdown

IndustryNoticesWorkers
Manufacturing2112

The Manufacturing sector led the way in workforce reductions with 112 workers across 2 notices.

Geographic Hotspots

CountyNoticesWorkers
Autauga2184
Houston2132
Covington2112

Autauga was the epicenter of layoff activity, accounting for 43% of all affected workers with 184 workers across 2 notices.

CityNoticesWorkers
Prattville2184
Dothan2132
Andalusia2112

Layoff Type Analysis

TypeNoticesWorkers
Layoff2122
Closure192

Closures accounted for 21% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
Kasai North AmericaPrattville92Closure2018-04-16
Kasai North AmericaPrattville922018-04-16
Nutcracker Brands, IncDothan66Layoff2018-04-12
Nutcracker Brands, IncDothan662018-04-12
Vector AerospaceAndalusia56Layoff2018-04-12
Vector AerospaceAndalusia562018-04-12

The single largest action involved Kasai North America at its Prattville facility, reporting 92 affected workers. Kasai North America followed with 92 workers.

Trend & Outlook

This is the third consecutive month of declining layoff activity.

The data underscores a mixed picture for Alabama's labor market, with activity diverging between monthly and annual comparisons. 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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