Oklahoma Layoffs — January 2008
Employers in Oklahoma logged 4 WARN Act notices in January 2008, involving roughly 630 workers — climbing above December and up 518% versus January 2007. The average filing covered 158 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 515 |
| Wholesale Trade | 1 | 65 |
| Professional Services | 1 | 50 |
The Manufacturing sector dominated layoff filings with 515 workers across 2 notices. Meanwhile, Wholesale Trade reported 65 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Creek | 2 | 490 |
| Stephens | 1 | 90 |
| Cleveland | 1 | 50 |
Creek felt the sharpest impact, accounting for 78% of all affected workers with 490 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Sapulpa | 1 | 425 |
| Marlow | 1 | 90 |
| Tulsa | 1 | 65 |
| Oklahoma City | 1 | 50 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Bartlett Collins | Sapulpa | 425 | ||
| Biomet | Marlow | 90 | ||
| Corporate Express | Tulsa | 65 | ||
| Pinnacle Business Solutions | Oklahoma City | 50 |
The biggest impact was at Bartlett Collins at its Sapulpa facility, reporting 425 affected workers. Biomet followed with 90 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
This data points to 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.