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Michigan Layoffs — October 2014

Employers in Michigan submitted 3 WARN Act notices in October 2014, putting at risk an estimated 902 workers — up substantially from September. The average filing covered 301 workers, with 1 closure among the notices.

3
Notices Filed
902
Workers Affected
301
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Michigan
IndustryNoticesWorkers
Healthcare1565
Manufacturing2337

The Healthcare sector emerged as the hardest-hit sector with 565 workers across 1 notice. Separately, Manufacturing reported 337 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Wayne2822
Ingham180

Wayne saw the most concentrated activity, accounting for 91% of all affected workers with 822 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Detroit1565
Plymouth1257
Lansing180

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff2645
Closure1257

Closures accounted for 28% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
DmcDetroit565Layoff
Automotive Components HoldingsPlymouth257Closure
The Woodbridge GroupLansing80Layoff

Topping the list was Dmc at its Detroit facility, reporting 565 affected workers. Automotive Components Holdings followed with 257 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

These figures highlight mounting pressure on the Michigan labor market, with activity running above both recent and year-ago benchmarks. The Healthcare 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.

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