Texas Layoffs — June 2024
Employers in Texas posted 50 WARN Act notices in June 2024, affecting an estimated 2,371 workers — reflecting a cooling compared to May and up 71% versus June 2023. The average filing covered 47 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Information & Technology | 3 | 720 |
| Retail | 34 | 705 |
| Manufacturing | 3 | 348 |
| Accommodation & Food | 2 | 130 |
| Construction | 4 | 126 |
| Professional Services | 1 | 102 |
| Healthcare | 1 | 95 |
| Education | 1 | 95 |
The Information & Technology sector saw the heaviest impact with 720 workers across 3 notices. On a related front, Retail reported 705 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 23 | 660 |
| Frio | 2 | 528 |
| Dallas | 4 | 277 |
| Travis | 1 | 230 |
| Bexar | 7 | 207 |
Harris absorbed the greatest share of layoffs, accounting for 28% of all affected workers with 660 workers across 23 notices.
| City | Notices | Workers |
|---|---|---|
| Houston | 18 | 560 |
| Dilley | 2 | 528 |
| Dallas | 3 | 232 |
| Austin | 1 | 230 |
| San Antonio | 7 | 207 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The largest notice was filed by CoreCivic (South Texas Family Residential Center) at its Dilley facility, reporting 433 affected workers. Charter Communications (Austin) followed with 230 workers.
Trend & Outlook
The trends suggest a mixed picture for Texas's labor market, with activity diverging between monthly and annual comparisons. The Information & Technology 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.