Wisconsin Layoffs — January 2017

Employers in Wisconsin submitted 4 WARN Act notices in January 2017, putting at risk an estimated 281 workers — down from December and down 72% versus January 2016. The average filing covered 70 workers, with 2 closures among the notices.

4
Notices Filed
281
Workers Affected
70
Avg per Notice
2
Closures

Industry Breakdown

IndustryNoticesWorkers
Other2174

The Other sector emerged as the hardest-hit sector with 174 workers across 2 notices.

Geographic Hotspots

CountyNoticesWorkers
Jefferson2214
La Crosse167

Jefferson absorbed the greatest share of layoffs, accounting for 76% of all affected workers with 214 workers across 2 notices.

CityNoticesWorkers
Watertown2214
La Crosse167
Purchase dataset for city details10

Layoff Type Analysis

TypeNoticesWorkers
Closure2174

The high proportion of closures (62% of affected workers) suggests structural shifts rather than temporary cutbacks in Wisconsin's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
River City Distributing Co., IncWatertown107Closure2017-01-23
River City Distributing Co., IncWatertown1072017-01-23
McKesson CorporationLa Crosse67Closure2017-01-17
McKesson CorporationPurchase dataset for city detailsN/A2017-01-17

Topping the list was River City Distributing Co., Inc at its Watertown facility, reporting 107 affected workers. River City Distributing Co., Inc followed with 107 workers.

Trend & Outlook

This is the third consecutive month of declining layoff activity.

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