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South Carolina Layoffs — January 2019

Employers in South Carolina reported 3 WARN Act notices in January 2019, displacing an estimated 727 workers — signaling a deceleration from December and up 265% versus January 2018. The average filing covered 242 workers, with 0 closures among the notices.

3
Notices Filed
727
Workers Affected
242
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for South Carolina
IndustryNoticesWorkers
Construction1502
Professional Services1114
Finance & Insurance1111

The Construction sector topped the list of affected industries with 502 workers across 1 notice. Notably, Professional Services reported 114 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Aiken2616
York1111

Aiken was the epicenter of layoff activity, accounting for 85% of all affected workers with 616 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Aiken2616
Fort Mill1111

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff3727

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
CB&I Project Services GroupAiken502Layoff
Orano Federal ServicesAiken114Layoff
Wells FargoFort Mill111Layoff

The most significant filing came from CB&I Project Services Group at its Aiken facility, reporting 502 affected workers. Orano Federal Services followed with 114 workers.

Trend & Outlook

This is the third consecutive month of declining layoff activity.

The numbers illustrate a mixed picture for South Carolina'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 South Carolina. 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 South Carolina WARN notices, browse layoffs by state, or download the full dataset.

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