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Mississippi Layoffs — May 2017

Employers in Mississippi posted 2 WARN Act notices in May 2017, affecting an estimated 97 workers — reflecting a cooling compared to April and down 75% versus May 2016. The average filing covered 48 workers, with 1 closure among the notices.

2
Notices Filed
97
Workers Affected
48
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Mississippi
IndustryNoticesWorkers
Manufacturing195
Education12

The Manufacturing sector saw the heaviest impact with 95 workers across 1 notice. On a related front, Education reported 2 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Attala195
Jones12

Attala saw the most concentrated activity, accounting for 98% of all affected workers with 95 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Kosciusko195
Ellisville12

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure195
Layoff12

The high proportion of closures (98% of affected workers) suggests structural shifts rather than temporary cutbacks in Mississippi's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Fargo AssemblyKosciusko95Closure
Jones Co. Junior CollegeEllisville2Layoff

The largest notice was filed by 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.

The trends suggest 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.

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