South Carolina Layoffs — February 2013
Employers in South Carolina logged 2 WARN Act notices in February 2013, involving roughly 141 workers — climbing above January and down 72% versus February 2012. The average filing covered 70 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Accommodation & Food | 1 | 110 |
| Retail | 1 | 31 |
The Accommodation & Food sector dominated layoff filings with 110 workers across 1 notice. Meanwhile, Retail reported 31 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Richland | 1 | 110 |
| York | 1 | 31 |
Richland felt the sharpest impact, accounting for 78% of all affected workers with 110 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Columbia | 1 | 110 |
| Rock Hill | 1 | 31 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 141 |
The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in South Carolina's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Aramark | Columbia | 110 | Closure | |
| Fast Lane of Rock Hill | Rock Hill | 31 | Closure |
The biggest impact was at Aramark at its Columbia facility, reporting 110 affected workers. Fast Lane of Rock Hill followed with 31 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to a mixed picture for South Carolina's labor market, with activity diverging between monthly and annual comparisons. The Accommodation & Food 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.