South Carolina Layoffs — November 2016
Employers in South Carolina submitted 3 WARN Act notices in November 2016, putting at risk an estimated 116 workers — down from October and down 37% versus November 2015. The average filing covered 39 workers, with 3 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 109 |
| Utilities | 1 | 7 |
The Manufacturing sector emerged as the hardest-hit sector with 109 workers across 2 notices. Separately, Utilities reported 7 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Dillon | 1 | 99 |
| Newberry | 1 | 10 |
| Marlboro | 1 | 7 |
Dillon was the epicenter of layoff activity, accounting for 85% of all affected workers with 99 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Latta | 1 | 99 |
| Newberry | 1 | 10 |
| Clio | 1 | 7 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 3 | 116 |
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 |
|---|---|---|---|---|
| WestRock | Latta | 99 | Closure | |
| Caterpillar | Newberry | 10 | Closure | |
| Baldor Electric | Clio | 7 | Closure |
Topping the list was WestRock at its Latta facility, reporting 99 affected workers. Caterpillar followed with 10 workers.
Trend & Outlook
These figures highlight a easing in workforce disruptions across South Carolina, with filings falling below both recent and year-ago levels. The Manufacturing 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.