Texas Layoffs — March 2012
Employers in Texas submitted 14 WARN Act notices in March 2012, putting at risk an estimated 2,198 workers — up substantially from February and up 122% versus March 2011. The average filing covered 157 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 4 | 746 |
| Finance & Insurance | 3 | 738 |
| Manufacturing | 3 | 280 |
| Information & Technology | 2 | 191 |
| Healthcare | 1 | 165 |
| Professional Services | 1 | 78 |
The Transportation sector emerged as the hardest-hit sector with 746 workers across 4 notices. Separately, Finance & Insurance reported 738 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Tarrant | 1 | 454 |
| Collin | 2 | 346 |
| Dallas | 2 | 284 |
| Fort Bend | 1 | 276 |
| Denton | 2 | 257 |
Tarrant saw the most concentrated activity, accounting for 21% of all affected workers with 454 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Ft. Worth | 1 | 454 |
| McKinney | 2 | 346 |
| Houston | 2 | 278 |
| Irving | 1 | 226 |
| Amarillo | 1 | 209 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Topping the list was Saxon Mortgage (Ft.Worth) at its Ft. Worth facility, reporting 454 affected workers. PrimeFlight Aviation Services followed with 276 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight mounting pressure on the Texas labor market, with activity running above both recent and year-ago benchmarks. The Transportation 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.