Mississippi Layoffs — January 2015

Employers in Mississippi reported 4 WARN Act notices in January 2015, displacing an estimated 302 workers and down 58% versus January 2014. The average filing covered 76 workers, with 1 closure among the notices.

4
Notices Filed
302
Workers Affected
76
Avg per Notice
1
Closures

Industry Breakdown

IndustryNoticesWorkers
Construction1128
Manufacturing168
Agriculture166
Other140

The Construction sector topped the list of affected industries with 128 workers across 1 notice. Notably, Manufacturing reported 68 workers.

Geographic Hotspots

CountyNoticesWorkers
Jones1128
Webster168
Lowndes166
Forrest140

Jones absorbed the greatest share of layoffs, accounting for 42% of all affected workers with 128 workers across 1 notices.

CityNoticesWorkers
Laurel1128
Eupora168
Columbus166
Hattiesburg140

Layoff Type Analysis

TypeNoticesWorkers
Layoff3262
Closure140

Closures accounted for 13% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
RAPAD Drilling & Well ServiceLaurel128Layoff2015-01-30
AnsellEupora68Layoff2015-01-29
EcolabColumbus66Layoff2015-01-28
BAE SystemsHattiesburg40Closure2015-01-15

The most significant filing came from RAPAD Drilling & Well Service at its Laurel facility, reporting 128 affected workers. Ansell followed with 68 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

The numbers illustrate a mixed picture for Mississippi's labor market, with activity diverging between monthly and annual comparisons. The Construction 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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