North Carolina Layoffs — May 2025
Employers in North Carolina logged 5 WARN Act notices in May 2025, involving roughly 186 workers — falling below April and down 70% versus May 2024. The average filing covered 37 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 3 | 102 |
| Retail | 1 | 14 |
The Manufacturing sector dominated layoff filings with 102 workers across 3 notices. Meanwhile, Retail reported 14 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Cumberland | 1 | 90 |
| Mecklenburg | 3 | 87 |
| Wake | 1 | 9 |
Cumberland felt the sharpest impact, accounting for 48% of all affected workers with 90 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Fayetteville | 1 | 90 |
| Charlotte | 2 | 73 |
| Centennial | 1 | 14 |
| Garner | 1 | 9 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 5 | 186 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Alpek Polyester USA | Fayetteville | 90 | Layoff | |
| Fcr | Charlotte | 70 | Layoff | |
| Nordstrom | Centennial | 14 | Layoff | |
| Transaxle | Garner | 9 | Layoff | |
| Transaxle | Charlotte | 3 | Layoff |
The biggest impact was at Alpek Polyester USA at its Fayetteville facility, reporting 90 affected workers. Fcr followed with 70 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
This data points to a easing in workforce disruptions across North 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 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.