Missouri Layoffs — May 2017

Employers in Missouri submitted 6 WARN Act notices in May 2017, putting at risk an estimated 750 workers — up substantially from April and down 9% versus May 2016. The average filing covered 125 workers, with 3 closures among the notices.

6
Notices Filed
750
Workers Affected
125
Avg per Notice
3
Closures

Industry Breakdown

IndustryNoticesWorkers
Transportation20

The Transportation sector emerged as the hardest-hit sector with 0 workers across 2 notices.

Geographic Hotspots

CountyNoticesWorkers
St. Louis2380
Jackson4370

St. Louis saw the most concentrated activity, accounting for 51% of all affected workers with 380 workers across 2 notices.

CityNoticesWorkers
Earth City2380
Kansas City4370

Layoff Type Analysis

TypeNoticesWorkers
Closure3375

Closures accounted for 50% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
Kellogg CompanyEarth City190Closure2017-05-26
Kellogg CompanyEarth City1902017-05-26
Kellogg CompanyKansas City185Closure2017-05-04
Kellogg CompanyKansas City1852017-05-04
XPO Logistics Supply Chain, Inc. (fka New Breed Logistics, Inc.)Kansas CityN/AClosure2017-05-10
XPO LogisticsKansas CityN/A2017-05-10

Topping the list was Kellogg Company at its Earth City facility, reporting 190 affected workers. Kellogg Company followed with 190 workers.

Trend & Outlook

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

These figures highlight a mixed picture for Missouri's labor market, with activity diverging between monthly and annual comparisons. The Transportation sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Missouri. 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 Missouri WARN notices, browse layoffs by state, or download the full dataset.

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