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Wisconsin Layoffs — February 2022

Employers in Wisconsin submitted 3 WARN Act notices in February 2022, putting at risk an estimated 241 workers — down from January and down 11% versus February 2021. The average filing covered 80 workers, with 3 closures among the notices.

3
Notices Filed
241
Workers Affected
80
Avg per Notice
3
Closures

Industry Breakdown

Industry breakdown for Wisconsin
IndustryNoticesWorkers
Retail198
Transportation178
Healthcare165

The Retail sector emerged as the hardest-hit sector with 98 workers across 1 notice. Separately, Transportation reported 78 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Dane198
Trempealeau178
Kenosha165

Dane absorbed the greatest share of layoffs, accounting for 41% of all affected workers with 98 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Middleton198
Arcadia178
Kenosha165

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure3241

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
American Girl BrandsMiddleton98Closure
Pehler and SonsArcadia78Closure
Kenosha Estates Nursing and RehabKenosha65Closure

Topping the list was American Girl Brands at its Middleton facility, reporting 98 affected workers. Pehler and Sons followed with 78 workers.

Trend & Outlook

These figures highlight a easing in workforce disruptions across Wisconsin, with filings falling below both recent and year-ago levels. The Retail 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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