Alabama Layoffs — February 2010
Employers in Alabama filed 3 WARN Act notices in February 2010, impacting roughly 467 workers — representing a pullback from January and down 71% versus February 2009. The average filing covered 156 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 244 |
The Manufacturing sector led the way in workforce reductions with 244 workers across 1 notice.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Jefferson | 1 | 244 |
| Cullman | 1 | 148 |
| Etowah | 1 | 75 |
Jefferson felt the sharpest impact, accounting for 52% of all affected workers with 244 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Birmingham | 1 | 244 |
| Holly Pond | 1 | 148 |
| Gadsden | 1 | 75 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 392 |
| Layoff | 1 | 75 |
The high proportion of closures (84% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| United States Pipe And Foundry | Birmingham | 244 | Closure | |
| Vf Jeanswear | Holly Pond | 148 | Closure | |
| Jay Mid-South | Gadsden | 75 | Layoff |
The single largest action involved United States Pipe And Foundry at its Birmingham facility, reporting 244 affected workers. Vf Jeanswear followed with 148 workers.
Trend & Outlook
The data underscores a easing in workforce disruptions across Alabama, with filings falling below both recent and year-ago levels. 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.