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Wisconsin Layoffs — February 2023

Employers in Wisconsin logged 4 WARN Act notices in February 2023, involving roughly 284 workers — falling below January and up 18% versus February 2022. The average filing covered 71 workers, with 1 closure among the notices.

4
Notices Filed
284
Workers Affected
71
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Wisconsin
IndustryNoticesWorkers
Manufacturing2147
Transportation170
Healthcare167

The Manufacturing sector dominated layoff filings with 147 workers across 2 notices. Meanwhile, Transportation reported 70 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Dane1115
Brown170
Milwaukee167
Walwroth132

Dane saw the most concentrated activity, accounting for 40% of all affected workers with 115 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Madison1115
Green Bay170
Wauwatosa167
Elkhorn132

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure1115

Closures accounted for 40% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Weir Slurry GroupMadison115Closure
RGL Specialty SolutionsGreen Bay70
Accelerated Clinical LabsWauwatosa67
CFS BrandsElkhorn32

The biggest impact was at Weir Slurry Group at its Madison facility, reporting 115 affected workers. RGL Specialty Solutions followed with 70 workers.

Trend & Outlook

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