Texas Layoffs — July 2004
Employers in Texas logged 19 WARN Act notices in July 2004, involving roughly 2,058 workers — climbing above June and down 21% versus July 2003. The average filing covered 108 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 3 | 903 |
| Manufacturing | 6 | 547 |
| Information & Technology | 4 | 268 |
| Accommodation & Food | 2 | 165 |
| Healthcare | 1 | 119 |
| Utilities | 1 | 50 |
| Wholesale Trade | 2 | 6 |
The Finance & Insurance sector dominated layoff filings with 903 workers across 3 notices. Meanwhile, Manufacturing reported 547 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Bexar | 5 | 1,114 |
| El Paso | 2 | 458 |
| Travis | 1 | 130 |
| Dallas | 3 | 129 |
| Harris | 3 | 80 |
Bexar felt the sharpest impact, accounting for 54% of all affected workers with 1,114 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| San Antonio | 5 | 1,114 |
| El Paso | 2 | 458 |
| Austin | 1 | 130 |
| Irving | 2 | 77 |
| Henderson | 1 | 70 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at Washington Mutual Bank, Inc. - San Antonio at its San Antonio facility, reporting 630 affected workers. The Eureka Company DBA Electrolux followed with 412 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
This data points to a mixed picture for Texas's labor market, with activity diverging between monthly and annual comparisons. The Finance & Insurance 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.