Texas Layoffs — June 2020
Employers in Texas filed 20 WARN Act notices in June 2020, impacting roughly 1,699 workers — representing a pullback from May and up 94% versus June 2019. The average filing covered 85 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 7 | 720 |
| Accommodation & Food | 2 | 264 |
| Government | 1 | 229 |
| Healthcare | 4 | 200 |
| Mining & Energy | 1 | 135 |
| Professional Services | 4 | 111 |
| Construction | 1 | 40 |
The Manufacturing sector led the way in workforce reductions with 720 workers across 7 notices. In a parallel development, Accommodation & Food reported 264 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 4 | 337 |
| Hidalgo | 1 | 257 |
| Rusk | 1 | 229 |
| Randall | 1 | 205 |
| Travis | 1 | 180 |
Harris was the epicenter of layoff activity, accounting for 20% of all affected workers with 337 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Houston | 3 | 258 |
| McAllen | 1 | 257 |
| Henderson | 1 | 229 |
| Amarillo | 1 | 205 |
| Austin | 1 | 180 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The single largest action involved GE Engine Services, L.P at its McAllen facility, reporting 257 affected workers. Bradshaw State Jail followed with 229 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
The data underscores a mixed picture for Texas's labor market, with activity diverging between monthly and annual comparisons. 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.