Texas Layoffs — April 2007
Employers in Texas submitted 20 WARN Act notices in April 2007, putting at risk an estimated 2,212 workers — up substantially from March and up 185% versus April 2006. The average filing covered 111 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 13 | 1,282 |
| Professional Services | 1 | 600 |
| Real Estate | 1 | 125 |
| Manufacturing | 3 | 120 |
| Transportation | 1 | 79 |
| Accommodation & Food | 1 | 6 |
The Finance & Insurance sector emerged as the hardest-hit sector with 1,282 workers across 13 notices. Separately, Professional Services reported 600 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Dallas | 4 | 927 |
| Travis | 1 | 600 |
| Harris | 12 | 531 |
| Tarrant | 1 | 125 |
| El Paso | 2 | 29 |
Dallas bore the heaviest burden, accounting for 42% of all affected workers with 927 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Irving | 2 | 663 |
| Austin | 1 | 600 |
| Houston | 12 | 531 |
| Addison | 1 | 185 |
| Dallas | 1 | 125 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Topping the list was Citicorp Credit Services Inc. - Irving at its Irving facility, reporting 646 affected workers. Accenture LLP - Austin followed with 600 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
These figures highlight mounting pressure on the Texas labor market, with activity running above both recent and year-ago benchmarks. 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.