Texas Layoffs — October 2016
Employers in Texas posted 18 WARN Act notices in October 2016, affecting an estimated 1,983 workers — reflecting a significant uptick compared to September and down 27% versus October 2015. The average filing covered 110 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Professional Services | 1 | 569 |
| Utilities | 3 | 515 |
| Retail | 2 | 326 |
| Healthcare | 3 | 275 |
| Mining & Energy | 5 | 132 |
| Finance & Insurance | 1 | 69 |
| Manufacturing | 2 | 59 |
| Agriculture | 1 | 38 |
The Professional Services sector saw the heaviest impact with 569 workers across 1 notice. On a related front, Utilities reported 515 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Travis | 2 | 845 |
| Dallas | 2 | 318 |
| Harris | 3 | 308 |
| Rusk | 5 | 149 |
| Gregg | 1 | 98 |
Travis bore the heaviest burden, accounting for 43% of all affected workers with 845 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Austin | 2 | 845 |
| Houston | 3 | 308 |
| Dallas | 1 | 217 |
| Tatum | 4 | 123 |
| Lancaster | 1 | 101 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The largest notice was filed by Concentrix at its Austin facility, reporting 569 affected workers. Golfsmith International followed with 276 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The trends suggest a mixed picture for Texas's labor market, with activity diverging between monthly and annual comparisons. The Professional Services 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.