Texas Layoffs — January 2014
Employers in Texas filed 14 WARN Act notices in January 2014, impacting roughly 1,319 workers — representing a notable rise over December and down 72% versus January 2013. The average filing covered 94 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 7 | 650 |
| Transportation | 2 | 264 |
| Information & Technology | 2 | 184 |
| Professional Services | 1 | 94 |
| Retail | 1 | 80 |
| Healthcare | 1 | 47 |
The Manufacturing sector led the way in workforce reductions with 650 workers across 7 notices. In a parallel development, Transportation reported 264 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Montgomery | 2 | 210 |
| El Paso | 1 | 209 |
| Tarrant | 2 | 199 |
| Travis | 1 | 183 |
| Dallas | 3 | 142 |
Montgomery absorbed the greatest share of layoffs, accounting for 16% of all affected workers with 210 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Woodlands | 2 | 210 |
| El Paso | 1 | 209 |
| Haslet | 1 | 194 |
| Austin | 1 | 183 |
| Electra | 1 | 121 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The single largest action involved Royal Appliance Mfg at its El Paso facility, reporting 209 affected workers. Quality Terminal Services followed with 194 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The data underscores a mixed picture for Texas's labor market, with activity diverging between monthly and annual comparisons. The Manufacturing 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.