Oklahoma Layoffs — June 2019
Employers in Oklahoma filed 4 WARN Act notices in June 2019, impacting roughly 475 workers — representing a notable rise over May and up 869% versus June 2018. The average filing covered 119 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Agriculture | 1 | 292 |
| Healthcare | 1 | 80 |
| Education | 1 | 69 |
| Utilities | 1 | 34 |
The Agriculture sector led the way in workforce reductions with 292 workers across 1 notice. In a parallel development, Healthcare reported 80 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Creek | 1 | 292 |
| Cleveland | 2 | 103 |
| Canadian | 1 | 80 |
Creek felt the sharpest impact, accounting for 61% of all affected workers with 292 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Tulsa | 1 | 292 |
| Yukon | 1 | 80 |
| Norman | 1 | 69 |
| Oklahoma City | 1 | 34 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| State Farm | Tulsa | 292 | ||
| Continuum | Yukon | 80 | ||
| University of Oklahoma | Norman | 69 | ||
| SandRidge Energy | Oklahoma City | 34 |
The single largest action involved State Farm at its Tulsa facility, reporting 292 affected workers. Continuum followed with 80 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The data underscores mounting pressure on the Oklahoma labor market, with activity running above both recent and year-ago benchmarks. The Agriculture 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.