South Carolina Layoffs — December 2014
Employers in South Carolina filed 3 WARN Act notices in December 2014, impacting roughly 454 workers and up 33% versus December 2013. The average filing covered 151 workers, with 3 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 3 | 454 |
The Manufacturing sector led the way in workforce reductions with 454 workers across 3 notices.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Greenville | 2 | 355 |
| Spartanburg | 1 | 99 |
Greenville felt the sharpest impact, accounting for 78% of all affected workers with 355 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Fountain Inn | 2 | 355 |
| Spartanburg | 1 | 99 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 3 | 454 |
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 |
|---|---|---|---|---|
| Caterpillar 107 | Fountain Inn | 235 | Closure | |
| Caterpillar 111 | Fountain Inn | 120 | Closure | |
| Faurecia | Spartanburg | 99 | Closure |
The single largest action involved Caterpillar 107 at its Fountain Inn facility, reporting 235 affected workers. Caterpillar 111 followed with 120 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The data underscores mounting pressure on the South Carolina labor market, with activity running above both recent and year-ago benchmarks. 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.