South Carolina Layoffs — January 2015
Employers in South Carolina logged 3 WARN Act notices in January 2015, involving roughly 336 workers — falling below December and up 394% versus January 2014. The average filing covered 112 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Construction | 1 | 176 |
| Retail | 1 | 92 |
| Finance & Insurance | 1 | 68 |
The Construction sector dominated layoff filings with 176 workers across 1 notice. Meanwhile, Retail reported 92 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Fairfield | 1 | 176 |
| Richland | 2 | 160 |
Fairfield saw the most concentrated activity, accounting for 52% of all affected workers with 176 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Jenkinsville | 1 | 176 |
| Columbia | 2 | 160 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 2 | 244 |
| Closure | 1 | 92 |
Closures accounted for 27% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| CB&I Shaw Constructors | Jenkinsville | 176 | Layoff | |
| Belk | Columbia | 92 | Closure | |
| Bank of America | Columbia | 68 | Layoff |
The biggest impact was at CB&I Shaw Constructors at its Jenkinsville facility, reporting 176 affected workers. Belk followed with 92 workers.
Trend & Outlook
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.