Alabama Layoffs — August 2005
Employers in Alabama recorded 3 WARN Act notices in August 2005, covering approximately 336 workers and down 69% versus August 2004. The average filing covered 112 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 260 |
The Manufacturing sector accounted for the largest share of job cuts with 260 workers across 2 notices.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Lee | 1 | 170 |
| Mobile | 1 | 90 |
| Lauderdale | 1 | 76 |
Lee saw the most concentrated activity, accounting for 51% of all affected workers with 170 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Phenix City | 1 | 170 |
| Bayou La Batre | 1 | 90 |
| Florence | 1 | 76 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 170 |
| Closure | 2 | 166 |
Closures accounted for 49% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Johnston Textiles | Phenix City | 170 | Layoff | |
| Fishking Processors | Bayou La Batre | 90 | Closure | |
| Winn Dixie Foods | Florence | 76 | Closure |
Leading the list was Johnston Textiles at its Phenix City facility, reporting 170 affected workers. Fishking Processors followed with 90 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The filings reflect 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.