Oklahoma Layoffs — June 2019
Employers in Oklahoma recorded 4 WARN Act notices in June 2019, covering approximately 475 workers — marking a sharp increase from 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 accounted for the largest share of job cuts with 292 workers across 1 notice. At the same time, 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 |
Leading the list was 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 filings reflect 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.