Texas Layoffs — May 2019
Employers in Texas logged 15 WARN Act notices in May 2019, involving roughly 912 workers — falling below April and down 75% versus May 2018. The average filing covered 61 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 2 | 180 |
| Education | 1 | 157 |
| Healthcare | 1 | 113 |
| Professional Services | 1 | 100 |
| Accommodation & Food | 2 | 88 |
| Information & Technology | 1 | 83 |
| Retail | 2 | 70 |
| Wholesale Trade | 3 | 70 |
The Transportation sector dominated layoff filings with 180 workers across 2 notices. Meanwhile, Education reported 157 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Travis | 2 | 240 |
| Dallas | 2 | 140 |
| Tarrant | 4 | 126 |
| Ward | 1 | 124 |
| Harris | 2 | 121 |
Travis saw the most concentrated activity, accounting for 26% of all affected workers with 240 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Pflugerville | 1 | 157 |
| Dallas | 2 | 140 |
| Monahans | 1 | 124 |
| Houston | 2 | 121 |
| Ft. Worth | 2 | 93 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The biggest impact was at Durham School Services-Pflugerville at its Pflugerville facility, reporting 157 affected workers. Product & Logistics-Monahans followed with 124 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.