Employers in Mississippi filed 3 WARN Act notices in January 2016, impacting roughly 299 workers and roughly flat versus January 2015. The average filing covered 100 workers, with 2 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 200 |
| Retail | 2 | 99 |
The Manufacturing sector led the way in workforce reductions with 200 workers across 1 notice. In a parallel development, Retail reported 99 workers.
| County | Notices | Workers |
|---|---|---|
| Hancock | 1 | 200 |
| Washington | 1 | 89 |
| Itawamba | 1 | 10 |
Hancock absorbed the greatest share of layoffs, accounting for 67% of all affected workers with 200 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Stennis | 1 | 200 |
| Greenville | 1 | 89 |
| Mantachie | 1 | 10 |
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 200 |
| Closure | 2 | 99 |
Closures accounted for 33% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Lockheed Martin, GHG & Diversitech | Stennis | 200 | Layoff | 2016-01-05 |
| K-Mart | Greenville | 89 | Closure | 2016-01-28 |
| Walmart | Mantachie | 10 | Closure | 2016-01-26 |
The single largest action involved Lockheed Martin, GHG & Diversitech at its Stennis facility, reporting 200 affected workers. K-Mart followed with 89 workers.
After a dip last month, layoff activity has ticked back up.
The data underscores a mixed picture for Mississippi'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 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.
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