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South Carolina Layoffs — February 2019

Employers in South Carolina logged 4 WARN Act notices in February 2019, involving roughly 640 workers — falling below January. The average filing covered 160 workers, with 0 closures among the notices.

4
Notices Filed
640
Workers Affected
160
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for South Carolina
IndustryNoticesWorkers
Construction2482
Information & Technology188
Professional Services170

The Construction sector dominated layoff filings with 482 workers across 2 notices. Meanwhile, Information & Technology reported 88 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Aiken2442
Fairfield1110
Spartanburg188

Aiken felt the sharpest impact, accounting for 69% of all affected workers with 442 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Aiken2442
Jenkinsville1110
Spartanburg188

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff4640

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
CB&I Project Services GroupAiken372Layoff
Saulsbury IndustriesJenkinsville110Layoff
Clarus Linen SystemsSpartanburg88Layoff
Orano Federal ServicesAiken70Layoff

The biggest impact was at CB&I Project Services Group at its Aiken facility, reporting 372 affected workers. Saulsbury Industries followed with 110 workers.

Trend & Outlook

This is the third consecutive month of declining layoff activity.

This data points to 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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