Oklahoma Layoffs — March 2017
Employers in Oklahoma posted 3 WARN Act notices in March 2017, affecting an estimated 107 workers — reflecting a significant uptick compared to February and down 41% versus March 2016. The average filing covered 36 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Mining & Energy | 1 | 65 |
| Professional Services | 1 | 30 |
| Transportation | 1 | 12 |
The Mining & Energy sector saw the heaviest impact with 65 workers across 1 notice. On a related front, Professional Services reported 30 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Creek | 2 | 95 |
| Cleveland | 1 | 12 |
Creek bore the heaviest burden, accounting for 89% of all affected workers with 95 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Tulsa | 2 | 95 |
| Oklahoma City | 1 | 12 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| NOV Inc fka National Oilwell Varco | Tulsa | 65 | ||
| Linde Engineering North America | Tulsa | 30 | ||
| Avis Budget Group | Oklahoma City | 12 |
The largest notice was filed by NOV Inc fka National Oilwell Varco at its Tulsa facility, reporting 65 affected workers. Linde Engineering North America followed with 30 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The trends suggest a mixed picture for Oklahoma's labor market, with activity diverging between monthly and annual comparisons. The Mining & Energy 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.