Texas Layoffs — October 2020
Employers in Texas logged 17 WARN Act notices in October 2020, involving roughly 3,038 workers — climbing above September and up 76% versus October 2019. The average filing covered 179 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Accommodation & Food | 5 | 1,251 |
| Professional Services | 2 | 794 |
| Arts & Entertainment | 5 | 238 |
| Construction | 1 | 190 |
| Retail | 1 | 170 |
| Healthcare | 1 | 153 |
| Information & Technology | 1 | 142 |
| Mining & Energy | 1 | 100 |
The Accommodation & Food sector dominated layoff filings with 1,251 workers across 5 notices. Meanwhile, Professional Services reported 794 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 5 | 998 |
| Travis | 2 | 794 |
| Bexar | 1 | 287 |
| Lamar | 1 | 190 |
| Williamson | 1 | 170 |
Harris bore the heaviest burden, accounting for 33% of all affected workers with 998 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| Houston | 3 | 900 |
| Austin | 2 | 794 |
| San Antonio | 1 | 287 |
| Paris | 1 | 190 |
| Round Rock | 1 | 170 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at Aramark-Minute Maid Park at its Houston facility, reporting 751 affected workers. Alorica-Austin followed with 712 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to mounting pressure on the Texas labor market, with activity running above both recent and year-ago benchmarks. The Accommodation & Food 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.