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Washington Layoffs — June 2004

Employers in Washington submitted 4 WARN Act notices in June 2004, putting at risk an estimated 320 workers — up substantially from May. The average filing covered 80 workers, with 2 closures among the notices.

4
Notices Filed
320
Workers Affected
80
Avg per Notice
2
Closures

Industry Breakdown

Industry breakdown for Washington
IndustryNoticesWorkers
Healthcare1174
Information & Technology3146

The Healthcare sector emerged as the hardest-hit sector with 174 workers across 1 notice. Separately, Information & Technology reported 146 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Spokane1174
Lewis180
King266

Spokane felt the sharpest impact, accounting for 54% of all affected workers with 174 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Spokane1174
Chehalis180
Redmond266

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff2177
Closure2143

Closures accounted for 45% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Sacred Heart HospitalSpokane174Layoff
QualexChehalis80Closure
IBMRedmond63Closure
EricssonRedmond3Layoff

Topping the list was Sacred Heart Hospital at its Spokane facility, reporting 174 affected workers. Qualex followed with 80 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

These figures highlight mounting pressure on the Washington labor market, with activity running above both recent and year-ago benchmarks. 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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