Employers in South Carolina recorded 5 WARN Act notices in August 2013, covering approximately 942 workers — marking a sharp increase from July and up 40% versus August 2012. The average filing covered 188 workers, with 1 closure among the notices.
Industry classification was not available for filings in South Carolina this month. A total of 942 workers were affected across 5 notices.
| County | Notices | Workers |
|---|---|---|
| Aiken | 2 | 643 |
| Richland | 1 | 126 |
| York | 1 | 96 |
| Anderson | 1 | 77 |
Aiken felt the sharpest impact, accounting for 68% of all affected workers with 643 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Aiken | 2 | 643 |
| Columbia | 1 | 126 |
| York | 1 | 96 |
| Belton | 1 | 77 |
| Type | Notices | Workers |
|---|---|---|
| Layoff | 4 | 865 |
| Closure | 1 | 77 |
Closures accounted for 8% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Shaw Project Services Group | Aiken | 485 | Layoff | 2013-08-06 |
| AREVA Federal Services LLC | Aiken | 158 | Layoff | 2013-08-06 |
| Palmetto GBA | Columbia | 126 | Layoff | 2013-08-23 |
| Filtration Group | York | 96 | Layoff | 2013-08-16 |
| Joy Global | Belton | 77 | Closure | 2013-08-01 |
Leading the list was Shaw Project Services Group at its Aiken facility, reporting 485 affected workers. AREVA Federal Services LLC followed with 158 workers.
After a dip last month, layoff activity has ticked back up.
The filings reflect 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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