South Carolina Layoffs — March 2016

Employers in South Carolina posted 8 WARN Act notices in March 2016, affecting an estimated 1,312 workers — reflecting a significant uptick compared to February and up 5864% versus March 2015. The average filing covered 164 workers, with 3 closures among the notices.

8
Notices Filed
1,312
Workers Affected
164
Avg per Notice
3
Closures

Industry Breakdown

Industry classification was not available for filings in South Carolina this month. A total of 1,312 workers were affected across 8 notices.

Geographic Hotspots

CountyNoticesWorkers
Florence2638
Berkeley2360
Orangeburg2168
Aiken2146

Florence felt the sharpest impact, accounting for 49% of all affected workers with 638 workers across 2 notices.

CityNoticesWorkers
Florence2638
Goose Creek2360
Orangeburg2168
Aiken2146

Layoff Type Analysis

TypeNoticesWorkers
Closure3572
Layoff184

Closures accounted for 44% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
EsabFlorence319Closure2016-03-31
EsabFlorence3192016-03-31
HoneywellGoose Creek180Closure2016-03-03
HoneywellGoose Creek1802016-03-03
Husqvarna GroupOrangeburg84Layoff2016-03-06
Husqvarna GroupOrangeburg842016-03-06
Dillard’s IncAiken73Closure2016-03-20
Dillard’s IncAiken732016-03-20

The largest notice was filed by Esab at its Florence facility, reporting 319 affected workers. Esab followed with 319 workers.

Trend & Outlook

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

The trends suggest mounting pressure on the South Carolina labor market, with activity running above both recent and year-ago benchmarks.

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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