Texas Layoffs — December 2017
Employers in Texas submitted 14 WARN Act notices in December 2017, putting at risk an estimated 4,165 workers — up substantially from November and up 287% versus December 2016. The average filing covered 298 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Education | 1 | 2,456 |
| Healthcare | 2 | 805 |
| Information & Technology | 2 | 343 |
| Accommodation & Food | 2 | 265 |
| Retail | 2 | 140 |
| Manufacturing | 4 | 89 |
| Mining & Energy | 1 | 67 |
The Education sector emerged as the hardest-hit sector with 2,456 workers across 1 notice. Separately, Healthcare reported 805 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Dallas | 5 | 3,564 |
| Harris | 5 | 289 |
| Cameron | 1 | 160 |
| Williamson | 1 | 92 |
| Tarrant | 1 | 48 |
Dallas was the epicenter of layoff activity, accounting for 86% of all affected workers with 3,564 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| Dallas | 4 | 3,552 |
| Houston | 4 | 195 |
| Harlingen | 1 | 160 |
| Webster | 1 | 94 |
| Round Rock | 1 | 92 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Topping the list was Dallas County Schools at its Dallas facility, reporting 2,456 affected workers. Baylor Scott & White Medical Center followed with 711 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 Education 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.