Texas Layoffs — October 2017
Employers in Texas posted 18 WARN Act notices in October 2017, affecting an estimated 1,322 workers — reflecting a cooling compared to September and down 33% versus October 2016. The average filing covered 73 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Information & Technology | 2 | 681 |
| Manufacturing | 3 | 197 |
| Retail | 3 | 122 |
| Mining & Energy | 2 | 80 |
| Accommodation & Food | 2 | 80 |
| Finance & Insurance | 1 | 78 |
| Professional Services | 2 | 62 |
| Healthcare | 3 | 22 |
The Information & Technology sector saw the heaviest impact with 681 workers across 2 notices. On a related front, Manufacturing reported 197 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Fort Bend | 2 | 681 |
| Tarrant | 5 | 257 |
| El Paso | 2 | 102 |
| Harris | 2 | 80 |
| McLennan | 1 | 78 |
Fort Bend bore the heaviest burden, accounting for 52% of all affected workers with 681 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Sugar Land | 2 | 681 |
| Grand Prairie | 1 | 119 |
| Fort Worth | 2 | 116 |
| El Paso | 2 | 102 |
| Houston | 2 | 80 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The largest notice was filed by First Data - Sugar Land at its Sugar Land facility, reporting 406 affected workers. First Data - Sugar Land followed with 275 workers.
Trend & Outlook
The trends suggest a easing in workforce disruptions across Texas, with filings falling below both recent and year-ago levels. The Information & Technology 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.