Texas Layoffs — April 2016
Employers in Texas submitted 29 WARN Act notices in April 2016, putting at risk an estimated 3,727 workers — up substantially from March and down 29% versus April 2015. The average filing covered 129 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Retail | 2 | 965 |
| Manufacturing | 9 | 907 |
| Mining & Energy | 7 | 773 |
| Information & Technology | 4 | 360 |
| Healthcare | 3 | 329 |
| Professional Services | 3 | 230 |
| Accommodation & Food | 1 | 163 |
The Retail sector emerged as the hardest-hit sector with 965 workers across 2 notices. Separately, Manufacturing reported 907 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 15 | 1,550 |
| Bowie | 2 | 951 |
| Dewitt | 1 | 280 |
| Tarrant | 5 | 252 |
| Dallas | 2 | 235 |
Harris bore the heaviest burden, accounting for 42% of all affected workers with 1,550 workers across 15 notices.
| City | Notices | Workers |
|---|---|---|
| Houston | 13 | 1,357 |
| New Boston | 1 | 857 |
| Cuero | 1 | 280 |
| Dallas | 2 | 235 |
| Sugar Land | 1 | 163 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Topping the list was Red River Army Depot - AECOM- New Boston at its New Boston facility, reporting 857 affected workers. Mount Vernon Mills - Cuero Plant followed with 280 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
These figures highlight a mixed picture for Texas's labor market, with activity diverging between monthly and annual comparisons. The Retail 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.