Mississippi Layoffs — May 2018

Employers in Mississippi filed 4 WARN Act notices in May 2018, impacting roughly 329 workers — representing a pullback from April and up 239% versus May 2017. The average filing covered 82 workers, with 3 closures among the notices.

4
Notices Filed
329
Workers Affected
82
Avg per Notice
3
Closures

Industry Breakdown

IndustryNoticesWorkers
Manufacturing2157
Construction1132
Transportation140

The Manufacturing sector led the way in workforce reductions with 157 workers across 2 notices. In a parallel development, Construction reported 132 workers.

Geographic Hotspots

CountyNoticesWorkers
Jackson1132
Rankin181
Prentiss176
DeSoto140

Jackson bore the heaviest burden, accounting for 40% of all affected workers with 132 workers across 1 notices.

CityNoticesWorkers
Moss Point1132
Pearl181
Baldwyn176
Olive Branch140

Layoff Type Analysis

TypeNoticesWorkers
Closure3197
Layoff1132

The high proportion of closures (60% of affected workers) suggests structural shifts rather than temporary cutbacks in Mississippi's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
Zachry IndustrialMoss Point132Layoff2018-05-31
Scotts Miracle-Gro CoPearl81Closure2018-05-01
FxiBaldwyn76Closure2018-05-30
International Cold StorageOlive Branch40Closure2018-05-31

The single largest action involved Zachry Industrial at its Moss Point facility, reporting 132 affected workers. Scotts Miracle-Gro Co followed with 81 workers.

Trend & Outlook

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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