South Carolina Layoffs — May 2016
Employers in South Carolina submitted 2 WARN Act notices in May 2016, putting at risk an estimated 249 workers — up substantially from April. The average filing covered 124 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Accommodation & Food | 1 | 172 |
| Professional Services | 1 | 77 |
The Accommodation & Food sector emerged as the hardest-hit sector with 172 workers across 1 notice. Separately, Professional Services reported 77 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Greenville | 1 | 172 |
| Richland | 1 | 77 |
Greenville absorbed the greatest share of layoffs, accounting for 69% of all affected workers with 172 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Greenville | 1 | 172 |
| Columbia | 1 | 77 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 249 |
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 |
|---|---|---|---|---|
| Amarak | Greenville | 172 | Closure | |
| CoreLogic | Columbia | 77 | Closure |
Topping the list was Amarak at its Greenville facility, reporting 172 affected workers. CoreLogic followed with 77 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight mounting pressure on the South Carolina labor market, with activity running above both recent and year-ago benchmarks. 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.