Alabama Layoffs — January 2018

Employers in Alabama logged 8 WARN Act notices in January 2018, involving roughly 660 workers and down 34% versus January 2017. The average filing covered 82 workers, with 3 closures among the notices.

8
Notices Filed
660
Workers Affected
82
Avg per Notice
3
Closures

Industry Breakdown

Industry classification was not available for filings in Alabama this month. A total of 660 workers were affected across 8 notices.

Geographic Hotspots

CountyNoticesWorkers
Tallapoosa2150
Mobile2102

Tallapoosa saw the most concentrated activity, accounting for 23% of all affected workers with 150 workers across 2 notices.

CityNoticesWorkers
Irondale2272
Alexander City2150
Hoover2136
Theodore2102

Layoff Type Analysis

TypeNoticesWorkers
Closure3255
Layoff175

Closures accounted for 39% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
Sams Club #8212Irondale136Closure2018-01-22
Sams Club #8212Irondale1362018-01-22
Russell Brands (Fruit Of The Loom)Alexander City75Layoff2018-01-09
Russell Brands (Fruit Of The Loom)Alexander City752018-01-09
Liberty NationalHoover68Closure2018-01-22
Liberty NationalHoover682018-01-22
Kadant Black Clawson, LLCTheodore51Closure2018-01-09
Kadant Black Clawson, LLCTheodore512018-01-09

The biggest impact was at Sams Club #8212 at its Irondale facility, reporting 136 affected workers. Sams Club #8212 followed with 136 workers.

Trend & Outlook

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

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

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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