Texas Layoffs — September 2000
Employers in Texas submitted 15 WARN Act notices in September 2000, putting at risk an estimated 1,516 workers — up substantially from August and down 21% versus September 1999. The average filing covered 101 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Healthcare | 4 | 395 |
| Information & Technology | 3 | 331 |
| Mining & Energy | 2 | 310 |
| Professional Services | 2 | 194 |
| Manufacturing | 2 | 117 |
| Finance & Insurance | 1 | 105 |
| Wholesale Trade | 1 | 64 |
The Healthcare sector emerged as the hardest-hit sector with 395 workers across 4 notices. Separately, Information & Technology reported 331 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 3 | 465 |
| Dallas | 3 | 371 |
| Bexar | 1 | 165 |
| El Paso | 2 | 164 |
| Jefferson | 1 | 122 |
Harris bore the heaviest burden, accounting for 31% of all affected workers with 465 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Houston | 3 | 465 |
| Dallas | 2 | 311 |
| San Antonio | 1 | 165 |
| El Paso | 2 | 164 |
| Port Arthur | 1 | 122 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Topping the list was GNB Technologies at its Dallas facility, reporting 255 affected workers. Vastar Resources followed with 210 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight a mixed picture for Texas's labor market, with activity diverging between monthly and annual comparisons. The Healthcare 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.