Alabama Layoffs — May 2020

Employers in Alabama logged 6 WARN Act notices in May 2020, involving roughly 2,642 workers — climbing above April and up 1248% versus May 2019. The average filing covered 440 workers, with 2 closures among the notices.

6
Notices Filed
2,642
Workers Affected
440
Avg per Notice
2
Closures

Industry Breakdown

IndustryNoticesWorkers
Manufacturing21,266

The Manufacturing sector dominated layoff filings with 1,266 workers across 2 notices.

Geographic Hotspots

CountyNoticesWorkers
Jefferson21,266
Etowah21,184
Lee2192

Jefferson felt the sharpest impact, accounting for 48% of all affected workers with 1,266 workers across 2 notices.

CityNoticesWorkers
Fairfield21,266
Gadsden21,184
Auburn2192

Layoff Type Analysis

TypeNoticesWorkers
Closure2688
Layoff1633

Closures accounted for 26% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
U.S. Steel Tubular ProductsFairfield633Layoff2020-05-01
U.S. Steel CorporationFairfield6332020-05-01
GoodyearGadsden592Closure2020-05-06
Goodyear CorporateGadsden5922020-05-06
Weidplas North America LLCAuburn96Closure2020-05-13
Weidplas North America LLCAuburn962020-05-13

The biggest impact was at U.S. Steel Tubular Products at its Fairfield facility, reporting 633 affected workers. U.S. Steel Corporation followed with 633 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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