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Texas Layoffs — September 2022

Employers in Texas filed 5 WARN Act notices in September 2022, impacting roughly 409 workers — representing a pullback from August and down 29% versus September 2021. The average filing covered 82 workers, with 0 closures among the notices.

5
Notices Filed
409
Workers Affected
82
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Texas
IndustryNoticesWorkers
Manufacturing3292
Transportation164
Construction153

The Manufacturing sector led the way in workforce reductions with 292 workers across 3 notices. In a parallel development, Transportation reported 64 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Lamar1179
El Paso164
Cameron164
Chambers153
Denton149

Lamar saw the most concentrated activity, accounting for 44% of all affected workers with 179 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Paris1179
El Paso164
Harlingen164
Baytown153
Carrollton149

Layoff Type Analysis

Layoff type classification was not available for filings in Texas this month.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
The James SkinnerParis179
Rubbermaid Commercial ProductsEl Paso64
Valley International Cold StorageHarlingen64
S&B Fabrication ServicesBaytown53
Sealed AirCarrollton49

The single largest action involved The James Skinner at its Paris facility, reporting 179 affected workers. Rubbermaid Commercial Products followed with 64 workers.

Trend & Outlook

The data underscores a easing in workforce disruptions across Texas, with filings falling below both recent and year-ago levels. 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.

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