Alabama Layoffs — September 2023
Employers in Alabama posted 3 WARN Act notices in September 2023, affecting an estimated 1,703 workers — reflecting a significant uptick compared to August. The average filing covered 568 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 459 |
| Healthcare | 1 | 459 |
The Manufacturing sector saw the heaviest impact with 459 workers across 1 notice. On a related front, Healthcare reported 459 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Lee | 2 | 918 |
| Barbour | 1 | 785 |
Lee bore the heaviest burden, accounting for 54% of all affected workers with 918 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Opelika | 2 | 918 |
| Clayton | 1 | 785 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 1,244 |
The high proportion of closures (73% of affected workers) suggests structural shifts rather than temporary cutbacks in Alabama's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Help at Home | Clayton | 785 | Closure | |
| Baxter International | Opelika | 459 | ||
| Baxter Healthcare | Opelika | 459 | Closure |
The largest notice was filed by Help at Home at its Clayton facility, reporting 785 affected workers. Baxter International followed with 459 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The trends suggest mounting pressure on the Alabama labor market, with activity running above both recent and year-ago benchmarks. 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.