Mississippi Layoffs — May 2017
Employers in Mississippi submitted 2 WARN Act notices in May 2017, putting at risk an estimated 97 workers — down from April and down 75% versus May 2016. The average filing covered 48 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 95 |
| Education | 1 | 2 |
The Manufacturing sector emerged as the hardest-hit sector with 95 workers across 1 notice. Separately, Education reported 2 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Attala | 1 | 95 |
| Jones | 1 | 2 |
Attala bore the heaviest burden, accounting for 98% of all affected workers with 95 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Kosciusko | 1 | 95 |
| Ellisville | 1 | 2 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 1 | 95 |
| Layoff | 1 | 2 |
The high proportion of closures (98% of affected workers) suggests structural shifts rather than temporary cutbacks in Mississippi's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Fargo Assembly | Kosciusko | 95 | Closure | |
| Jones Co. Junior College | Ellisville | 2 | Layoff |
Topping the list was Fargo Assembly at its Kosciusko facility, reporting 95 affected workers. Jones Co. Junior College followed with 2 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
These figures highlight 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.