Mississippi Layoffs — February 2025
Employers in Mississippi recorded 6 WARN Act notices in February 2025, covering approximately 98 workers — marking a decline from January and down 57% versus February 2024. The average filing covered 16 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 60 |
| Transportation | 4 | 38 |
The Manufacturing sector accounted for the largest share of job cuts with 60 workers across 2 notices. At the same time, Transportation reported 38 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Madison | 2 | 36 |
| Monroe | 1 | 30 |
Madison absorbed the greatest share of layoffs, accounting for 37% of all affected workers with 36 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Canton | 2 | 36 |
| Amory | 1 | 30 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 60 |
| Layoff | 4 | 38 |
The high proportion of closures (61% of affected workers) suggests structural shifts rather than temporary cutbacks in Mississippi's labor market.
Largest Layoffs
Leading the list was WWL Vehicle Services South RR-MS Americas, Inc. Central MS- 2024-0012 Transportation Arrangement reduction in production at its Canton facility, reporting 35 affected workers. Enviva Pellets MS RR-MS Other followed with 30 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
The filings reflect a easing in workforce disruptions across Mississippi, 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 Mississippi. 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 Mississippi WARN notices, browse layoffs by state, or download the full dataset.