Mississippi Layoffs — April 2018

Employers in Mississippi posted 3 WARN Act notices in April 2018, affecting an estimated 335 workers — reflecting a significant uptick compared to March and up 179% versus April 2017. The average filing covered 112 workers, with 1 closure among the notices.

3
Notices Filed
335
Workers Affected
112
Avg per Notice
1
Closures

Industry Breakdown

IndustryNoticesWorkers
Retail1284
Manufacturing140
Construction111

The Retail sector saw the heaviest impact with 284 workers across 1 notice. On a related front, Manufacturing reported 40 workers.

Geographic Hotspots

CountyNoticesWorkers
Copiah1284
Tishomingo140

Copiah saw the most concentrated activity, accounting for 85% of all affected workers with 284 workers across 1 notices.

CityNoticesWorkers
Hazlehurst1284
Burnsville140
Nashville111

Layoff Type Analysis

TypeNoticesWorkers
Closure1284
Layoff251

The high proportion of closures (85% of affected workers) suggests structural shifts rather than temporary cutbacks in Mississippi's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
Advance Auto Parts Distribution CenterHazlehurst284Closure2018-04-12
Vanleigh RVBurnsville40Layoff2018-04-09
SitelNashville11Layoff2018-04-02

The largest notice was filed by Advance Auto Parts Distribution Center at its Hazlehurst facility, reporting 284 affected workers. Vanleigh RV followed with 40 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The trends suggest mounting pressure on the Mississippi labor market, with activity running above both recent and year-ago benchmarks. The Retail 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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