Alabama Layoffs — May 1999

Employers in Alabama logged 5 WARN Act notices in May 1999, involving roughly 1,697 workers — climbing above April. The average filing covered 339 workers, with 3 closures among the notices.

5
Notices Filed
1,697
Workers Affected
339
Avg per Notice
3
Closures

Industry Breakdown

IndustryNoticesWorkers
Healthcare1205

The Healthcare sector dominated layoff filings with 205 workers across 1 notice.

Geographic Hotspots

CountyNoticesWorkers
Montgomery1650
Houston2590
Butler1252
Lauderdale1205

Montgomery felt the sharpest impact, accounting for 38% of all affected workers with 650 workers across 1 notices.

CityNoticesWorkers
Montgomery1650
Dothan1500
Greenville1252
Florence1205
Ashford190

Layoff Type Analysis

TypeNoticesWorkers
Closure3957
Layoff2740

The high proportion of closures (56% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
S & C Beef Processors, L.L.CMontgomery650Layoff1999-05-27
London International Group, LLCDothan500Closure1999-05-26
Russell Corporation-GreenvilleGreenville252Closure1999-05-03
Florence HospitalFlorence205Closure1999-05-28
Wex Tex Industries, IncAshford90Layoff1999-05-17

The biggest impact was at S & C Beef Processors, L.L.C at its Montgomery facility, reporting 650 affected workers. London International Group, LLC followed with 500 workers.

Trend & Outlook

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

This data points to mounting pressure on the Alabama labor market, with activity running above both recent and year-ago benchmarks. The Healthcare 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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