Texas Layoffs — January 2014
Employers in Texas reported 14 WARN Act notices in January 2014, displacing an estimated 1,319 workers — signaling an acceleration from 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 topped the list of affected industries with 650 workers across 7 notices. Notably, 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 was the epicenter of layoff activity, 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 most significant filing came from 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 numbers illustrate 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.