Mississippi Layoffs — August 2020
Employers in Mississippi reported 9 WARN Act notices in August 2020, displacing an estimated 705 workers — signaling an acceleration from July and up 94% versus August 2019. The average filing covered 78 workers, with 6 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Government | 1 | 373 |
| Manufacturing | 1 | 300 |
| Retail | 5 | 28 |
| Healthcare | 2 | 4 |
The Government sector topped the list of affected industries with 373 workers across 1 notice. Notably, Manufacturing reported 300 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Hinds | 5 | 383 |
| Warren | 1 | 300 |
| Madison | 1 | 16 |
Hinds was the epicenter of layoff activity, accounting for 54% of all affected workers with 383 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| Jackson | 5 | 383 |
| Vicksburg | 1 | 300 |
| Madison | 1 | 16 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 373 |
| Closure | 6 | 326 |
Closures accounted for 46% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
The most significant filing came from The MS Department of Corrections - MHM Health Professions at its Jackson facility, reporting 373 affected workers. Cooper Lighting Solutions followed with 300 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The numbers illustrate mounting pressure on the Mississippi labor market, with activity running above both recent and year-ago benchmarks. The Government 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.