Texas Layoffs — April 2018
Employers in Texas logged 12 WARN Act notices in April 2018, involving roughly 1,715 workers — climbing above March and up 55% versus April 2017. The average filing covered 143 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Information & Technology | 2 | 448 |
| Manufacturing | 4 | 358 |
| Utilities | 2 | 316 |
| Education | 1 | 250 |
| Accommodation & Food | 1 | 150 |
| Finance & Insurance | 1 | 102 |
| Healthcare | 1 | 91 |
The Information & Technology sector dominated layoff filings with 448 workers across 2 notices. Meanwhile, Manufacturing reported 358 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 4 | 603 |
| Tarrant | 2 | 448 |
| Denton | 1 | 250 |
| Taylor | 1 | 150 |
| Collin | 2 | 119 |
Harris saw the most concentrated activity, accounting for 35% of all affected workers with 603 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Houston | 4 | 603 |
| Arlington | 2 | 448 |
| Justin | 1 | 250 |
| Abilene | 1 | 150 |
| Plano | 1 | 102 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at Vistra Energy- Dynegy Corporate Headquarters at its Houston facility, reporting 308 affected workers. Atlantic Coffee Solutions followed with 279 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 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.