Texas Layoffs — November 2012
Employers in Texas logged 25 WARN Act notices in November 2012, involving roughly 3,761 workers — climbing above October and up 107% versus November 2011. The average filing covered 150 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 6 | 1,384 |
| Arts & Entertainment | 3 | 500 |
| Finance & Insurance | 1 | 459 |
| Utilities | 2 | 373 |
| Retail | 6 | 327 |
| Professional Services | 2 | 305 |
| Education | 2 | 172 |
| Agriculture | 1 | 110 |
The Manufacturing sector dominated layoff filings with 1,384 workers across 6 notices. Meanwhile, Arts & Entertainment reported 500 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Dallas | 7 | 1,680 |
| Harris | 8 | 708 |
| Bexar | 3 | 513 |
| Collin | 1 | 459 |
| Tarrant | 2 | 172 |
Dallas was the epicenter of layoff activity, accounting for 45% of all affected workers with 1,680 workers across 7 notices.
| City | Notices | Workers |
|---|---|---|
| Dallas | 5 | 1,240 |
| Houston | 8 | 708 |
| Garland | 2 | 661 |
| Selma | 2 | 446 |
| Irving | 1 | 238 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at Navistar Truck Group at its Garland facility, reporting 600 affected workers. Texas Instruments - Dallas followed with 500 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to mounting pressure on the Texas labor market, with activity running above both recent and year-ago benchmarks. 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.