North Carolina Layoffs — June 2015
Employers in North Carolina logged 2 WARN Act notices in June 2015, involving roughly 149 workers — climbing above May and down 85% versus June 2014. The average filing covered 74 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 135 |
| Finance & Insurance | 1 | 14 |
The Manufacturing sector dominated layoff filings with 135 workers across 1 notice. Meanwhile, Finance & Insurance reported 14 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Cumberland | 1 | 135 |
| Mecklenburg | 1 | 14 |
Cumberland felt the sharpest impact, accounting for 91% of all affected workers with 135 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Fayetteville | 1 | 135 |
| Charlotte | 1 | 14 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 149 |
The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in North Carolina's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Dayco | Fayetteville | 135 | Closure | |
| Discover Home Loans | Charlotte | 14 | Closure |
The biggest impact was at Dayco at its Fayetteville facility, reporting 135 affected workers. Discover Home Loans followed with 14 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to a mixed picture for North Carolina's labor market, with activity diverging between monthly and annual comparisons. The Manufacturing sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by North 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 North Carolina WARN notices, browse layoffs by state, or download the full dataset.