Michigan Layoffs — March 2016
Employers in Michigan logged 2 WARN Act notices in March 2016, involving roughly 161 workers — falling below February and up 222% versus March 2015. The average filing covered 80 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 160 |
| Information & Technology | 1 | 1 |
The Manufacturing sector dominated layoff filings with 160 workers across 1 notice. Meanwhile, Information & Technology reported 1 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Calhoun | 1 | 160 |
| Wayne | 1 | 1 |
Calhoun was the epicenter of layoff activity, accounting for 99% of all affected workers with 160 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Battle Creek | 1 | 160 |
| Detroit | 1 | 1 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 161 |
The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Michigan's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| WKW Roof Rail Systems | Battle Creek | 160 | Closure | |
| Maslow Media | Detroit | 1 | Closure |
The biggest impact was at WKW Roof Rail Systems at its Battle Creek facility, reporting 160 affected workers. Maslow Media followed with 1 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
This data points to a mixed picture for Michigan'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 Michigan. 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 Michigan WARN notices, browse layoffs by state, or download the full dataset.