Oklahoma Layoffs — June 2017
Employers in Oklahoma reported 3 WARN Act notices in June 2017, displacing an estimated 226 workers — signaling an acceleration from May and down 22% versus June 2016. The average filing covered 75 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Information & Technology | 1 | 100 |
| Mining & Energy | 1 | 71 |
| Retail | 1 | 55 |
The Information & Technology sector topped the list of affected industries with 100 workers across 1 notice. Notably, Mining & Energy reported 71 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Washington | 1 | 100 |
| Cleveland | 1 | 71 |
| Noble | 1 | 55 |
Washington felt the sharpest impact, accounting for 44% of all affected workers with 100 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Bartlesville | 1 | 100 |
| Oklahoma City | 1 | 71 |
| Perry | 1 | 55 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Sitel - Bartlesville | Bartlesville | 100 | ||
| Sable Permian | Oklahoma City | 71 | ||
| Walmart | Perry | 55 |
The most significant filing came from Sitel - Bartlesville at its Bartlesville facility, reporting 100 affected workers. Sable Permian followed with 71 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The numbers illustrate a mixed picture for Oklahoma's labor market, with activity diverging between monthly and annual comparisons. 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.