Texas Layoffs — July 2024
Employers in Texas submitted 16 WARN Act notices in July 2024, putting at risk an estimated 1,328 workers — down from June and down 29% versus July 2023. The average filing covered 83 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 5 | 526 |
| Transportation | 6 | 315 |
| Information & Technology | 1 | 197 |
| Professional Services | 1 | 123 |
| Wholesale Trade | 1 | 107 |
| Accommodation & Food | 1 | 54 |
| Utilities | 1 | 6 |
The Manufacturing sector emerged as the hardest-hit sector with 526 workers across 5 notices. Separately, Transportation reported 315 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harrison | 2 | 325 |
| Cameron | 1 | 197 |
| Bexar | 2 | 195 |
| Dallas | 4 | 157 |
| Archer | 1 | 123 |
Harrison absorbed the greatest share of layoffs, accounting for 24% of all affected workers with 325 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Marshall | 1 | 298 |
| Harlingen | 1 | 197 |
| San Antonio | 1 | 138 |
| Wichita Falls | 1 | 123 |
| Dilley | 1 | 107 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Topping the list was Master WoodCraft Cabinetry at its Marshall facility, reporting 298 affected workers. ISS Action followed with 197 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
These figures highlight a easing in workforce disruptions across Texas, 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 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.