Oklahoma Layoffs — January 2015
Employers in Oklahoma recorded 5 WARN Act notices in January 2015, covering approximately 319 workers — marking a sharp increase from December and down 15% versus January 2014. The average filing covered 64 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 2 | 130 |
| Utilities | 2 | 127 |
The Transportation sector accounted for the largest share of job cuts with 130 workers across 2 notices. At the same time, Utilities reported 127 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Creek | 4 | 289 |
| Cleveland | 1 | 30 |
Creek saw the most concentrated activity, accounting for 91% of all affected workers with 289 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Tulsa | 4 | 289 |
| Oklahoma City | 1 | 30 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| American Airlines Billing &Payroll | Tulsa | 100 | ||
| SM Energy | Tulsa | 77 | ||
| Norris | Tulsa | 62 | ||
| Oil States Energy | Tulsa | 50 | ||
| ServaGroup -Port of Catoosa | Oklahoma City | 30 |
Leading the list was American Airlines Billing &Payroll at its Tulsa facility, reporting 100 affected workers. SM Energy followed with 77 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The filings reflect a mixed picture for Oklahoma's labor market, with activity diverging between monthly and annual comparisons. The Transportation 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.