Employers in Wisconsin reported 4 WARN Act notices in December 2019, displacing an estimated 373 workers — signaling a deceleration from November and up 465% versus December 2018. The average filing covered 93 workers, with 2 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Professional Services | 1 | 157 |
| Other | 1 | 59 |
The Professional Services sector topped the list of affected industries with 157 workers across 1 notice. Notably, Other reported 59 workers.
| County | Notices | Workers |
|---|---|---|
| Brown | 2 | 314 |
| Rock | 1 | 59 |
Brown was the epicenter of layoff activity, accounting for 84% of all affected workers with 314 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Green Bay | 2 | 314 |
| Clinton | 1 | 59 |
| Purchase dataset for city details | 1 | 0 |
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 216 |
The high proportion of closures (58% of affected workers) suggests structural shifts rather than temporary cutbacks in Wisconsin's labor market.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Alorica, Inc | Green Bay | 157 | Closure | 2019-12-13 |
| Alorica | Green Bay | 157 | 2019-12-13 | |
| Regal Beloit America Inc | Clinton | 59 | Closure | 2019-12-02 |
| Alorica | Purchase dataset for city details | N/A | 2019-12-13 |
The most significant filing came from Alorica, Inc at its Green Bay facility, reporting 157 affected workers. Alorica followed with 157 workers.
The numbers illustrate a mixed picture for Wisconsin's labor market, with activity diverging between monthly and annual comparisons. The Professional Services 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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