Oklahoma Layoffs — April 2015
Employers in Oklahoma recorded 4 WARN Act notices in April 2015, covering approximately 279 workers — marking a decline from March and down 16% versus April 2014. The average filing covered 70 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Utilities | 2 | 172 |
| Mining & Energy | 1 | 80 |
| Manufacturing | 1 | 27 |
The Utilities sector accounted for the largest share of job cuts with 172 workers across 2 notices. At the same time, Mining & Energy reported 80 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Cleveland | 4 | 279 |
Cleveland absorbed the greatest share of layoffs, accounting for 100% of all affected workers with 279 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Oklahoma City | 3 | 199 |
| Broken Arrow | 1 | 80 |
Layoff Type Analysis
Layoff type classification was not available for filings in Oklahoma this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| SandRidge Energy | Oklahoma City | 132 | ||
| National Oilwell Varco - Enerflow | Broken Arrow | 80 | ||
| CICOR Energy | Oklahoma City | 40 | ||
| Melling Sintered Metals | Oklahoma City | 27 |
Leading the list was SandRidge Energy at its Oklahoma City facility, reporting 132 affected workers. National Oilwell Varco - Enerflow followed with 80 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
The filings reflect a easing in workforce disruptions across Oklahoma, with filings falling below both recent and year-ago levels. The Utilities 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.