Oklahoma Layoffs — July 2003
Employers in Oklahoma recorded 4 WARN Act notices in July 2003, covering approximately 1,651 workers — marking a sharp increase from June and up 195% versus July 2002. The average filing covered 413 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 663 |
| Wholesale Trade | 1 | 243 |
The Manufacturing sector accounted for the largest share of job cuts with 663 workers across 1 notice. At the same time, Wholesale Trade reported 243 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Coal | 2 | 1,326 |
| Creek | 1 | 243 |
| Pontotoc | 1 | 82 |
Coal bore the heaviest burden, accounting for 80% of all affected workers with 1,326 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Seminole | 2 | 1,326 |
| Tulsa | 1 | 243 |
| Ada | 1 | 82 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| VF Imagewear (Wrangler) | Seminole | 663 | ||
| VF Jeanswear (Wrangler) | Seminole | 663 | ||
| Fleming | Tulsa | 243 | ||
| Surgical Specialties | Ada | 82 |
Leading the list was VF Imagewear (Wrangler) at its Seminole facility, reporting 663 affected workers. VF Jeanswear (Wrangler) followed with 663 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The filings reflect mounting pressure on the Oklahoma labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing 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.