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Oklahoma Layoffs — October 2019

Employers in Oklahoma reported 4 WARN Act notices in October 2019, displacing an estimated 319 workers — signaling an acceleration from September and up 9% versus October 2018. The average filing covered 80 workers, with 0 closures among the notices.

4
Notices Filed
319
Workers Affected
80
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Oklahoma
IndustryNoticesWorkers
Information & Technology1190
Manufacturing169
Finance & Insurance159

The Information & Technology sector topped the list of affected industries with 190 workers across 1 notice. Notably, Manufacturing reported 69 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Cleveland1190
Pottawatomie169
Marshall159

Cleveland was the epicenter of layoff activity, accounting for 60% of all affected workers with 190 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Norman1190
Shawnee169
Madill159

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
SitelNorman190
Shawnee Tubing IndustiresShawnee69
Simmons BankMadill59
Backflip Studios1

The most significant filing came from Sitel at its Norman facility, reporting 190 affected workers. Shawnee Tubing Industires followed with 69 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

The numbers illustrate mounting pressure on the Oklahoma labor market, with activity running above both recent and year-ago benchmarks. The Information & Technology sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Oklahoma. 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 Oklahoma WARN notices, browse layoffs by state, or download the full dataset.

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