Alabama Layoffs — January 2016
Employers in Alabama posted 3 WARN Act notices in January 2016, affecting an estimated 497 workers — reflecting a cooling compared to December and down 80% versus January 2015. The average filing covered 166 workers, with 3 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Retail | 1 | 264 |
| Mining & Energy | 1 | 170 |
The Retail sector saw the heaviest impact with 264 workers across 1 notice. On a related front, Mining & Energy reported 170 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Jefferson | 1 | 264 |
| Shelby | 1 | 170 |
Jefferson was the epicenter of layoff activity, accounting for 53% of all affected workers with 264 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Fairfield | 1 | 264 |
| Alabaster | 1 | 170 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 3 | 497 |
The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Walmart – Store #763 | Fairfield | 264 | Closure | |
| Jesse Creek Mining | Alabaster | 170 | Closure | |
| Southeastern Grocers | 63 | Closure |
The largest notice was filed by Walmart – Store #763 at its Fairfield facility, reporting 264 affected workers. Jesse Creek Mining followed with 170 workers.
Trend & Outlook
The trends suggest a easing in workforce disruptions across Alabama, with filings falling below both recent and year-ago levels. The Retail 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.