Texas Layoffs — October 2002
Employers in Texas logged 34 WARN Act notices in October 2002, involving roughly 4,035 workers — climbing above September and down 26% versus October 2001. The average filing covered 119 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 9 | 1,625 |
| Utilities | 1 | 602 |
| Information & Technology | 7 | 589 |
| Accommodation & Food | 1 | 517 |
| Construction | 1 | 244 |
| Finance & Insurance | 3 | 212 |
| Transportation | 1 | 102 |
| Retail | 1 | 85 |
The Manufacturing sector dominated layoff filings with 1,625 workers across 9 notices. Meanwhile, Utilities reported 602 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| El Paso | 4 | 1,336 |
| Harris | 6 | 1,331 |
| Tarrant | 4 | 495 |
| Gregg | 1 | 244 |
| Dallas | 3 | 206 |
El Paso bore the heaviest burden, accounting for 33% of all affected workers with 1,336 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| El Paso | 4 | 1,336 |
| Houston | 6 | 1,331 |
| Fort Worth | 2 | 322 |
| Kilgore | 1 | 244 |
| Arlington | 1 | 150 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at VF Jeanswear - El Paso at its El Paso facility, reporting 774 affected workers. Dynegy Midstream Services followed with 602 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to 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.