Texas Layoffs — November 2025
Employers in Texas reported 15 WARN Act notices in November 2025, displacing an estimated 3,586 workers — signaling an acceleration from October and up 185% versus November 2024. The average filing covered 239 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 3 | 1,895 |
| Transportation | 6 | 1,042 |
| Professional Services | 2 | 356 |
| Retail | 2 | 219 |
| Finance & Insurance | 1 | 63 |
| Information & Technology | 1 | 11 |
The Manufacturing sector topped the list of affected industries with 1,895 workers across 3 notices. Notably, Transportation reported 1,042 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Potter | 1 | 1,761 |
| Dallas | 5 | 1,329 |
| Lubbock | 1 | 126 |
| Harris | 1 | 105 |
| Collin | 1 | 93 |
Potter absorbed the greatest share of layoffs, accounting for 49% of all affected workers with 1,761 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Amarillo | 1 | 1,761 |
| Coppell | 1 | 856 |
| Lancaster | 1 | 298 |
| Lubbock | 1 | 126 |
| Houston | 1 | 105 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The most significant filing came from Tyson Foods at its Amarillo facility, reporting 1,761 affected workers. FedEx followed with 856 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The numbers illustrate mounting pressure on the Texas 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 Texas. 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 Texas WARN notices, browse layoffs by state, or download the full dataset.