Washington Layoffs — February 2015
Employers in Washington recorded 5 WARN Act notices in February 2015, covering approximately 654 workers — marking a decline from January and up 90% versus February 2014. The average filing covered 131 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 396 |
| Information & Technology | 1 | 157 |
| Education | 1 | 60 |
| Healthcare | 1 | 41 |
The Manufacturing sector accounted for the largest share of job cuts with 396 workers across 2 notices. At the same time, Information & Technology reported 157 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| King | 4 | 594 |
| Spokane | 1 | 60 |
King felt the sharpest impact, accounting for 91% of all affected workers with 594 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Seattle | 3 | 437 |
| Bellevue | 1 | 157 |
| Spokane | 1 | 60 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 5 | 654 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Boeing | Seattle | 319 | Layoff | |
| Trulia | Bellevue | 157 | Layoff | |
| Valeant Pharmaceuticals | Seattle | 77 | Layoff | |
| Ambassador Programs | Spokane | 60 | Layoff | |
| Emeritus Senior Living | Seattle | 41 | Layoff |
Leading the list was Boeing at its Seattle facility, reporting 319 affected workers. Trulia followed with 157 workers.
Trend & Outlook
The filings reflect a mixed picture for Washington'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 Washington. 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 Washington WARN notices, browse layoffs by state, or download the full dataset.