Alabama Layoffs — March 2019
Employers in Alabama posted 2 WARN Act notices in March 2019, affecting an estimated 333 workers and down 2% versus March 2018. The average filing covered 166 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 181 |
| Mining & Energy | 1 | 152 |
The Manufacturing sector saw the heaviest impact with 181 workers across 1 notice. On a related front, Mining & Energy reported 152 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Jefferson | 1 | 181 |
| Shelby | 1 | 152 |
Jefferson was the epicenter of layoff activity, accounting for 54% of all affected workers with 181 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Birmingham | 1 | 181 |
| Alabaster | 1 | 152 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 181 |
| Closure | 1 | 152 |
Closures accounted for 46% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Stryker Sustainability Solutions | Birmingham | 181 | Layoff | |
| Jesse Creek Mining | Alabaster | 152 | Closure |
The largest notice was filed by Stryker Sustainability Solutions at its Birmingham facility, reporting 181 affected workers. Jesse Creek Mining followed with 152 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The trends suggest 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.