Washington Layoffs — October 2014

Employers in Washington logged 7 WARN Act notices in October 2014, involving roughly 1,246 workers — falling below September and up 193% versus October 2013. The average filing covered 178 workers, with 5 closures among the notices.

7
Notices Filed
1,246
Workers Affected
178
Avg per Notice
5
Closures

Industry Breakdown

IndustryNoticesWorkers
Healthcare1102
Finance & Insurance110

The Healthcare sector dominated layoff filings with 102 workers across 1 notice. Meanwhile, Finance & Insurance reported 10 workers.

Geographic Hotspots

CountyNoticesWorkers
King51,050
Clark1142
Snohomish154

King bore the heaviest burden, accounting for 84% of all affected workers with 1,050 workers across 5 notices.

CityNoticesWorkers
Redmond1635
Seattle3405
Vancouver1142
Monroe154
Kirkland110

Layoff Type Analysis

TypeNoticesWorkers
Layoff2664
Closure5582

Closures accounted for 47% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
MicrosoftRedmond635Layoff2014-10-30
AmgenSeattle274Closure2014-10-22
NordstromVancouver142Closure2014-10-31
Group HealthSeattle102Closure2014-10-31
Metrie, IncMonroe54Closure2014-10-09
Emeritus Senior LivingSeattle29Layoff2014-10-06
Cobalt MortgageKirkland10Closure2014-10-13

The biggest impact was at Microsoft at its Redmond facility, reporting 635 affected workers. Amgen followed with 274 workers.

Trend & Outlook

This data points to a mixed picture for Washington's labor market, with activity diverging between monthly and annual comparisons. The Healthcare 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.

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