Alabama Layoffs — November 2002
Employers in Alabama recorded 3 WARN Act notices in November 2002, covering approximately 286 workers — marking a decline from October and down 92% versus November 2001. The average filing covered 95 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Construction | 1 | 108 |
| Utilities | 1 | 63 |
The Construction sector accounted for the largest share of job cuts with 108 workers across 1 notice. At the same time, Utilities reported 63 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Jefferson | 2 | 178 |
| Morgan | 1 | 108 |
Jefferson bore the heaviest burden, accounting for 62% of all affected workers with 178 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Bessemer | 1 | 115 |
| Decatur | 1 | 108 |
| Birmingham | 1 | 63 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 178 |
| Layoff | 1 | 108 |
The high proportion of closures (62% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Unr Rohn | Bessemer | 115 | Closure | |
| Be & K Construction | Decatur | 108 | Layoff | |
| Cummins Alabama | Birmingham | 63 | Closure |
Leading the list was Unr Rohn at its Bessemer facility, reporting 115 affected workers. Be & K Construction followed with 108 workers.
Trend & Outlook
The filings reflect a easing in workforce disruptions across Alabama, with filings falling below both recent and year-ago levels. The Construction 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.