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Alabama Layoffs — December 2000

Employers in Alabama filed 3 WARN Act notices in December 2000, impacting roughly 601 workers — representing a pullback from November. The average filing covered 200 workers, with 3 closures among the notices.

3
Notices Filed
601
Workers Affected
200
Avg per Notice
3
Closures

Industry Breakdown

Industry breakdown for Alabama
IndustryNoticesWorkers
Utilities166

The Utilities sector led the way in workforce reductions with 66 workers across 1 notice.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Baldwin1475
Mobile166
Jefferson160

Baldwin felt the sharpest impact, accounting for 79% of all affected workers with 475 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Robertsdale1475
Mobile166
Birmingham160

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure3601

The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Packard-Hughes InterconnectRobertsdale475Closure
Southern Energy ResourcesMobile66Closure
Fairpoint Communications SolutionsBirmingham60Closure

The single largest action involved Packard-Hughes Interconnect at its Robertsdale facility, reporting 475 affected workers. Southern Energy Resources followed with 66 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 Utilities 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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