Employers in Wisconsin filed 3 WARN Act notices in February 2021, impacting roughly 290 workers — representing a pullback from January and down 45% versus February 2020. The average filing covered 97 workers, with 0 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Healthcare | 1 | 128 |
| Finance & Insurance | 1 | 128 |
The Healthcare sector led the way in workforce reductions with 128 workers across 1 notice. In a parallel development, Finance & Insurance reported 128 workers.
| County | Notices | Workers |
|---|---|---|
| Dane, Marathon | 2 | 256 |
| Jackson | 1 | 34 |
Dane, Marathon was the epicenter of layoff activity, accounting for 88% of all affected workers with 256 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Rothschild, Monona | 2 | 256 |
| Hixton | 1 | 34 |
Layoff type classification was not available for filings in Wisconsin this month.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Wisconsin Physicians Services Insurance Corporation | Rothschild, Monona | 128 | 2021-02-26 | |
| Wisconsin Physicians Service Insurance Corporation | Rothschild, Monona | 128 | 2021-02-26 | |
| Turnkey Processing Solutions/WP Operations LLC | Hixton | 34 | 2021-02-26 |
The single largest action involved Wisconsin Physicians Services Insurance Corporation at its Rothschild, Monona facility, reporting 128 affected workers. Wisconsin Physicians Service Insurance Corporation followed with 128 workers.
The data underscores a easing in workforce disruptions across Wisconsin, with filings falling below both recent and year-ago levels. The Healthcare 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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