Oklahoma Layoffs — February 2009
Employers in Oklahoma filed 4 WARN Act notices in February 2009, impacting roughly 306 workers — representing a pullback from January. The average filing covered 76 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 164 |
| Information & Technology | 1 | 69 |
| Mining & Energy | 1 | 61 |
| Transportation | 1 | 12 |
The Manufacturing sector led the way in workforce reductions with 164 workers across 1 notice. In a parallel development, Information & Technology reported 69 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Creek | 2 | 225 |
| Cleveland | 2 | 81 |
Creek was the epicenter of layoff activity, accounting for 74% of all affected workers with 225 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Tulsa | 2 | 225 |
| Oklahoma City | 2 | 81 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Limco | Tulsa | 164 | ||
| Anderson Services | Oklahoma City | 69 | ||
| National Oilwell Varco | Tulsa | 61 | ||
| Jackie Cooper Transport | Oklahoma City | 12 |
The single largest action involved Limco at its Tulsa facility, reporting 164 affected workers. Anderson Services followed with 69 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
The data underscores a mixed picture for Oklahoma's labor market, with activity diverging between monthly and annual comparisons. 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.