Texas Layoffs — September 2016
Employers in Texas filed 15 WARN Act notices in September 2016, impacting roughly 991 workers — representing a pullback from August and down 47% versus September 2015. The average filing covered 66 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Mining & Energy | 4 | 327 |
| Manufacturing | 4 | 161 |
| Retail | 2 | 153 |
| Transportation | 1 | 90 |
| Information & Technology | 1 | 87 |
| Utilities | 1 | 87 |
| Healthcare | 1 | 57 |
| Finance & Insurance | 1 | 29 |
The Mining & Energy sector led the way in workforce reductions with 327 workers across 4 notices. In a parallel development, Manufacturing reported 161 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Leon | 1 | 250 |
| Bexar | 2 | 177 |
| Harris | 5 | 153 |
| Dallas | 2 | 100 |
| El Paso | 1 | 87 |
Leon saw the most concentrated activity, accounting for 25% of all affected workers with 250 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Jewett | 1 | 250 |
| San Antonio | 2 | 177 |
| Houston | 5 | 153 |
| El Paso | 1 | 87 |
| Brownfield | 1 | 81 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The single largest action involved Texas Westmoreland Coal Co.- Jewett Mine at its Jewett facility, reporting 250 affected workers. PrimeFlight Aviation-San Antonio, TX followed with 90 workers.
Trend & Outlook
The data underscores a easing in workforce disruptions across Texas, with filings falling below both recent and year-ago levels. The Mining & Energy 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.