Texas Layoffs — May 2018
Employers in Texas logged 18 WARN Act notices in May 2018, involving roughly 3,721 workers — climbing above April and up 63% versus May 2017. The average filing covered 207 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Utilities | 2 | 1,266 |
| Healthcare | 3 | 1,173 |
| Professional Services | 3 | 280 |
| Manufacturing | 4 | 249 |
| Construction | 1 | 229 |
| Retail | 2 | 202 |
| Finance & Insurance | 1 | 124 |
| Accommodation & Food | 1 | 110 |
The Utilities sector dominated layoff filings with 1,266 workers across 2 notices. Meanwhile, Healthcare reported 1,173 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Tarrant | 2 | 1,266 |
| Harris | 4 | 1,135 |
| Dallas | 3 | 313 |
| Gregg | 1 | 229 |
| Bexar | 1 | 137 |
Tarrant absorbed the greatest share of layoffs, accounting for 34% of all affected workers with 1,266 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Ft. Worth | 2 | 1,266 |
| Webster | 1 | 956 |
| Longview | 1 | 229 |
| Tomball | 1 | 158 |
| San Antonio | 1 | 137 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at XTO Energy at its Ft. Worth facility, reporting 1,200 affected workers. Bay Area Regional Medical Center followed with 956 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
This data points to mounting pressure on the Texas labor market, with activity running above both recent and year-ago benchmarks. The Utilities 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.