Oregon Layoffs — February 2016
Employers in Oregon filed 4 WARN Act notices in February 2016, impacting roughly 401 workers — representing a notable rise over January and up 40000% versus February 2015. The average filing covered 100 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 280 |
| Finance & Insurance | 1 | 80 |
| Transportation | 1 | 41 |
The Manufacturing sector led the way in workforce reductions with 280 workers across 2 notices. In a parallel development, Finance & Insurance reported 80 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Clackamas | 3 | 351 |
| Marion | 1 | 50 |
Clackamas absorbed the greatest share of layoffs, accounting for 88% of all affected workers with 351 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Portland | 2 | 271 |
| Lake Oswego | 1 | 80 |
| Salem | 1 | 50 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 3 | 351 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Evraz | Portland | 230 | Layoff | |
| Aequitas Capital | Lake Oswego | 80 | Layoff | |
| Panasonic | Salem | 50 | ||
| UTi | Portland | 41 | Layoff |
The single largest action involved Evraz at its Portland facility, reporting 230 affected workers. Aequitas Capital followed with 80 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The data underscores mounting pressure on the Oregon 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 Oregon. 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 Oregon WARN notices, browse layoffs by state, or download the full dataset.