Oklahoma Layoffs — June 2003
Employers in Oklahoma filed 4 WARN Act notices in June 2003, impacting roughly 488 workers and up 234% versus June 2002. The average filing covered 122 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Government | 1 | 235 |
| Manufacturing | 1 | 105 |
| Utilities | 1 | 61 |
The Government sector led the way in workforce reductions with 235 workers across 1 notice. In a parallel development, Manufacturing reported 105 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Beckham | 1 | 235 |
| Pittsburg | 1 | 105 |
| Murray | 1 | 87 |
| Creek | 1 | 61 |
Beckham felt the sharpest impact, accounting for 48% of all affected workers with 235 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Sayre | 1 | 235 |
| McAlester | 1 | 105 |
| Davis | 1 | 87 |
| Tulsa | 1 | 61 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| North Fork Correctional Facility | Sayre | 235 | ||
| Charles Komar | McAlester | 105 | ||
| Hanover | Davis | 87 | ||
| CMS Energy | Tulsa | 61 |
The single largest action involved North Fork Correctional Facility at its Sayre facility, reporting 235 affected workers. Charles Komar followed with 105 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 Government 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.