Alabama Layoffs — January 2008
Employers in Alabama logged 3 WARN Act notices in January 2008, involving roughly 363 workers — falling below December and down 8% versus January 2007. The average filing covered 121 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 192 |
The Manufacturing sector dominated layoff filings with 192 workers across 1 notice.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Monroe | 1 | 192 |
| Montgomery | 1 | 96 |
| Chambers | 1 | 75 |
Monroe was the epicenter of layoff activity, accounting for 53% of all affected workers with 192 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Frisco City | 1 | 192 |
| Montgomery | 1 | 96 |
| Lanett | 1 | 75 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 2 | 267 |
| Closure | 1 | 96 |
Closures accounted for 26% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Standard Furniture Mfg | Frisco City | 192 | Layoff | |
| Albany International-Appleton Wire Division | Montgomery | 96 | Closure | |
| Knauf Insulation | Lanett | 75 | Layoff |
The biggest impact was at Standard Furniture Mfg at its Frisco City facility, reporting 192 affected workers. Albany International-Appleton Wire Division followed with 96 workers.
Trend & Outlook
This data points to 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.