Texas Layoffs — June 2025
Employers in Texas reported 17 WARN Act notices in June 2025, displacing an estimated 2,088 workers — signaling a deceleration from May and down 12% versus June 2024. The average filing covered 123 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 2 | 571 |
| Government | 4 | 521 |
| Information & Technology | 4 | 495 |
| Retail | 2 | 177 |
| Utilities | 1 | 121 |
| Accommodation & Food | 1 | 83 |
| Education | 1 | 77 |
| Professional Services | 1 | 26 |
The Transportation sector topped the list of affected industries with 571 workers across 2 notices. Notably, Government reported 521 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Tarrant | 2 | 571 |
| Rusk | 2 | 281 |
| Harris | 2 | 223 |
| Willacy | 1 | 166 |
| Caldwell | 1 | 135 |
Tarrant was the epicenter of layoff activity, accounting for 27% of all affected workers with 571 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Haslet | 1 | 296 |
| Fort Worth | 1 | 275 |
| Houston | 2 | 223 |
| Henderson | 1 | 172 |
| Raymondville | 1 | 166 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The most significant filing came from JC Penney (Allaince Supply Chain) at its Haslet facility, reporting 296 affected workers. Tyson Foods (Fort Worth Distribution Center) followed with 275 workers.
Trend & Outlook
The numbers illustrate a easing in workforce disruptions across Texas, with filings falling below both recent and year-ago levels. The Transportation 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.