Washington Layoffs — January 2025

Employers in Washington reported 5 WARN Act notices in January 2025, displacing an estimated 504 workers — signaling a deceleration from December and down 47% versus January 2024. The average filing covered 101 workers, with 3 closures among the notices.

5
Notices Filed
504
Workers Affected
101
Avg per Notice
3
Closures

Industry Breakdown

Industry classification was not available for filings in Washington this month. A total of 504 workers were affected across 5 notices.

Geographic Hotspots

CountyNoticesWorkers
Grant1224
Pierce154
Thurston145

Grant absorbed the greatest share of layoffs, accounting for 44% of all affected workers with 224 workers across 1 notices.

CityNoticesWorkers
Moses Lake1224
Fife1150
Sumner154
Olympia145
Various131

Layoff Type Analysis

TypeNoticesWorkers
Closure3428
Layoff276

The high proportion of closures (85% of affected workers) suggests structural shifts rather than temporary cutbacks in Washington's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
REC Silicon, IncMoses Lake224Closure2025-01-06
Associated Materials, LLCFife150Closure2025-01-13
Advanced Drainage Systems, IncSumner54Closure2025-01-28
Recreational Equipment IncOlympia45Layoff2025-01-24
Recreational Equipment IncVarious31Layoff2025-01-13

The most significant filing came from REC Silicon, Inc at its Moses Lake facility, reporting 224 affected workers. Associated Materials, LLC followed with 150 workers.

Trend & Outlook

This is the third consecutive month of declining layoff activity.

The numbers illustrate a easing in workforce disruptions across Washington, with filings falling below both recent and year-ago levels.

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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