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Wisconsin Layoffs — February 2025

Employers in Wisconsin posted 3 WARN Act notices in February 2025, affecting an estimated 147 workers — reflecting a cooling compared to January and down 87% versus February 2024. The average filing covered 49 workers, with 3 closures among the notices.

3
Notices Filed
147
Workers Affected
49
Avg per Notice
3
Closures

Industry Breakdown

Industry breakdown for Wisconsin
IndustryNoticesWorkers
Manufacturing2107
Wholesale Trade140

The Manufacturing sector saw the heaviest impact with 107 workers across 2 notices. On a related front, Wholesale Trade reported 40 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Milwaukee2111
Kenosha136

Milwaukee saw the most concentrated activity, accounting for 76% of all affected workers with 111 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Milwaukee2111
Bristol136

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure3147

The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Wisconsin's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
U-LineMilwaukee71Closure
Badger Truck and Automotive GroupMilwaukee40Closure
Northlake EngineeringBristol36Closure

The largest notice was filed by U-Line at its Milwaukee facility, reporting 71 affected workers. Badger Truck and Automotive Group followed with 40 workers.

Trend & Outlook

The trends suggest a easing in workforce disruptions across Wisconsin, with filings falling below both recent and year-ago levels. The Manufacturing sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Wisconsin. 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 Wisconsin WARN notices, browse layoffs by state, or download the full dataset.

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