Texas Layoffs — June 2014
Employers in Texas submitted 17 WARN Act notices in June 2014, putting at risk an estimated 1,439 workers — up substantially from May and down 53% versus June 2013. The average filing covered 85 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 4 | 441 |
| Professional Services | 1 | 378 |
| Healthcare | 2 | 246 |
| Transportation | 2 | 161 |
| Information & Technology | 2 | 154 |
| Education | 4 | 44 |
| Finance & Insurance | 1 | 10 |
| Mining & Energy | 1 | 5 |
The Manufacturing sector emerged as the hardest-hit sector with 441 workers across 4 notices. Separately, Professional Services reported 378 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 4 | 440 |
| Tom Green | 2 | 390 |
| Travis | 2 | 177 |
| Bexar | 1 | 92 |
| Hays | 1 | 90 |
Harris absorbed the greatest share of layoffs, accounting for 31% of all affected workers with 440 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| San Angelo | 2 | 390 |
| Houston | 3 | 301 |
| Austin | 2 | 177 |
| Channelview | 1 | 139 |
| San Antonio | 1 | 92 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Topping the list was Sitel-San Angelo at its San Angelo facility, reporting 378 affected workers. Boeing followed with 189 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 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.