Alabama Layoffs — September 2007
Employers in Alabama submitted 3 WARN Act notices in September 2007, putting at risk an estimated 992 workers — up substantially from August and down 30% versus September 2006. The average filing covered 331 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 1 | 625 |
The Finance & Insurance sector emerged as the hardest-hit sector with 625 workers across 1 notice.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Montgomery | 1 | 625 |
| Jefferson | 2 | 367 |
Montgomery bore the heaviest burden, accounting for 63% of all affected workers with 625 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Montgomery | 1 | 625 |
| Birmingham | 2 | 367 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 2 | 925 |
| Closure | 1 | 67 |
Closures accounted for 7% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Regions Financial | Montgomery | 625 | Layoff | |
| Pemco Aeroplex | Birmingham | 300 | Layoff | |
| Spring Air | Birmingham | 67 | Closure |
Topping the list was Regions Financial at its Montgomery facility, reporting 625 affected workers. Pemco Aeroplex followed with 300 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight a mixed picture for Alabama's labor market, with activity diverging between monthly and annual comparisons. The Finance & Insurance 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.