Texas Layoffs — September 2018
Employers in Texas logged 12 WARN Act notices in September 2018, involving roughly 987 workers — falling below August and down 58% versus September 2017. The average filing covered 82 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 1 | 259 |
| Information & Technology | 4 | 214 |
| Finance & Insurance | 1 | 102 |
| Utilities | 1 | 92 |
| Manufacturing | 2 | 90 |
| Professional Services | 1 | 81 |
| Retail | 1 | 77 |
| Real Estate | 1 | 72 |
The Transportation sector dominated layoff filings with 259 workers across 1 notice. Meanwhile, Information & Technology reported 214 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Tarrant | 1 | 259 |
| Dallas | 2 | 157 |
| Harris | 3 | 155 |
| Travis | 2 | 106 |
| Collin | 1 | 92 |
Tarrant felt the sharpest impact, accounting for 26% of all affected workers with 259 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| DFW Airport | 1 | 259 |
| Houston | 3 | 155 |
| Austin | 2 | 106 |
| Plano | 1 | 92 |
| Irving | 1 | 89 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at LGSTX Distribution Services at its DFW Airport facility, reporting 259 affected workers. JP Morgan Chase & followed with 102 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
This data points to a easing in workforce disruptions across Texas, with filings falling below both recent and year-ago levels. 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.