Oregon Layoffs — July 2016
Employers in Oregon logged 3 WARN Act notices in July 2016, involving roughly 219 workers — climbing above June and down 77% versus July 2015. The average filing covered 73 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 1 | 102 |
| Manufacturing | 1 | 67 |
| Agriculture | 1 | 50 |
The Finance & Insurance sector dominated layoff filings with 102 workers across 1 notice. Meanwhile, Manufacturing reported 67 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Washington | 1 | 102 |
| Morrow | 1 | 67 |
Washington saw the most concentrated activity, accounting for 47% of all affected workers with 102 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Hillsboro | 1 | 102 |
| Boardman | 1 | 67 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 1 | 67 |
Closures accounted for 31% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Bank of America | Hillsboro | 102 | ||
| Upper Columbia Mill | Boardman | 67 | Closure | |
| Zelenka Farms | 50 |
The biggest impact was at Bank of America at its Hillsboro facility, reporting 102 affected workers. Upper Columbia Mill followed with 67 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to a mixed picture for Oregon's labor market, with activity diverging between monthly and annual comparisons. The Finance & Insurance 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.