Texas Layoffs — March 2006
Employers in Texas filed 16 WARN Act notices in March 2006, impacting roughly 2,114 workers — representing a notable rise over February and up 86% versus March 2005. The average filing covered 132 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Accommodation & Food | 2 | 1,005 |
| Finance & Insurance | 2 | 323 |
| Retail | 2 | 288 |
| Manufacturing | 4 | 275 |
| Transportation | 4 | 123 |
| Information & Technology | 2 | 100 |
The Accommodation & Food sector led the way in workforce reductions with 1,005 workers across 2 notices. In a parallel development, Finance & Insurance reported 323 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| El Paso | 2 | 1,005 |
| Harris | 4 | 491 |
| Hidalgo | 3 | 215 |
| Dallas | 1 | 128 |
| Fort Bend | 1 | 116 |
El Paso felt the sharpest impact, accounting for 48% of all affected workers with 1,005 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| El Paso | 2 | 1,005 |
| Houston | 4 | 491 |
| McAllen | 3 | 215 |
| Richardson | 1 | 128 |
| Rosenberg | 1 | 116 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The single largest action involved NCED/Sahara at its El Paso facility, reporting 805 affected workers. Foley's followed with 265 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The data underscores mounting pressure on the Texas labor market, with activity running above both recent and year-ago benchmarks. The Accommodation & Food 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.