South Carolina Layoffs — February 2022

Employers in South Carolina recorded 4 WARN Act notices in February 2022, covering approximately 760 workers — marking a decline from January and up 45% versus February 2021. The average filing covered 190 workers, with 1 closure among the notices.

4
Notices Filed
760
Workers Affected
190
Avg per Notice
1
Closures

Industry Breakdown

IndustryNoticesWorkers
Utilities2140

The Utilities sector accounted for the largest share of job cuts with 140 workers across 2 notices.

Geographic Hotspots

CountyNoticesWorkers
Union2620
Greenville170

Union was the epicenter of layoff activity, accounting for 82% of all affected workers with 620 workers across 2 notices.

CityNoticesWorkers
Jonesville2620
Greenville170
1041 E. Butler Road, Greenville, South Carolina29607170

Layoff Type Analysis

TypeNoticesWorkers
Closure1310
Layoff170

Closures accounted for 41% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
Belk Fulfillment CenterJonesville310Closure2022-02-28
Belk Fulfillment CenterJonesville3102022-02-28
Utility Partners of AmericaGreenville70Layoff2022-02-18
Utility Partners ofAmerica1041 E. Butler Road, Greenville, South Carolina29607702022-02-18

Leading the list was Belk Fulfillment Center at its Jonesville facility, reporting 310 affected workers. Belk Fulfillment Center followed with 310 workers.

Trend & Outlook

The filings reflect a mixed picture for South Carolina's labor market, with activity diverging between monthly and annual comparisons. The Utilities 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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