Washington Layoffs — June 2015
Employers in Washington recorded 3 WARN Act notices in June 2015, covering approximately 406 workers — marking a sharp increase from May and up 8% versus June 2014. The average filing covered 135 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Retail | 1 | 190 |
| Manufacturing | 1 | 153 |
| Accommodation & Food | 1 | 63 |
The Retail sector accounted for the largest share of job cuts with 190 workers across 1 notice. At the same time, Manufacturing reported 153 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| King | 2 | 343 |
| Snohomish | 1 | 63 |
King felt the sharpest impact, accounting for 84% of all affected workers with 343 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Seattle | 2 | 343 |
| Snohomish | 1 | 63 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 190 |
| Closure | 1 | 63 |
Closures accounted for 16% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Bags | Seattle | 190 | Layoff | |
| Boeing | Seattle | 153 | ||
| Sodexo | Snohomish | 63 | Closure |
Leading the list was Bags at its Seattle facility, reporting 190 affected workers. Boeing followed with 153 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The filings reflect mounting pressure on the Washington labor market, with activity running above both recent and year-ago benchmarks. The Retail 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.