Employers in Alabama submitted 3 WARN Act notices in September 2008, putting at risk an estimated 565 workers and down 43% versus September 2007. The average filing covered 188 workers, with 3 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 213 |
The Manufacturing sector emerged as the hardest-hit sector with 213 workers across 1 notice.
| County | Notices | Workers |
|---|---|---|
| Dallas | 1 | 213 |
| Geneva | 1 | 194 |
| Madison | 1 | 158 |
Dallas was the epicenter of layoff activity, accounting for 38% of all affected workers with 213 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Selma | 1 | 213 |
| Geneva | 1 | 194 |
| Huntsville | 1 | 158 |
| Type | Notices | Workers |
|---|---|---|
| Closure | 3 | 565 |
The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Altadis USA, Inc.. (Selma Cigar Factory) | Selma | 213 | Closure | 2008-09-30 |
| Bae Systems (Second Chance Body Armor) | Geneva | 194 | Closure | 2008-09-10 |
| Bill Heard Chevrolet, Inc | Huntsville | 158 | Closure | 2008-09-25 |
Topping the list was Altadis USA, Inc.. (Selma Cigar Factory) at its Selma facility, reporting 213 affected workers. Bae Systems (Second Chance Body Armor) followed with 194 workers.
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 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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