Texas Layoffs — September 2017
Employers in Texas logged 17 WARN Act notices in September 2017, involving roughly 2,341 workers — climbing above August and up 136% versus September 2016. The average filing covered 138 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Construction | 2 | 729 |
| Information & Technology | 3 | 526 |
| Professional Services | 2 | 492 |
| Transportation | 1 | 169 |
| Arts & Entertainment | 1 | 148 |
| Manufacturing | 3 | 128 |
| Utilities | 1 | 84 |
| Healthcare | 3 | 64 |
The Construction sector dominated layoff filings with 729 workers across 2 notices. Meanwhile, Information & Technology reported 526 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Jefferson | 1 | 455 |
| El Paso | 2 | 418 |
| Lubbock | 1 | 406 |
| Nueces | 2 | 374 |
| Harris | 4 | 236 |
Jefferson bore the heaviest burden, accounting for 19% of all affected workers with 455 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Beaumont | 1 | 455 |
| El Paso | 2 | 418 |
| Lubbock | 1 | 406 |
| Corpus Ch | 2 | 374 |
| Houston | 4 | 236 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at CB&I, Inc. at its Beaumont facility, reporting 455 affected workers. Convergy's- Lubbock followed with 406 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 Construction 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.