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Maine Layoffs — November 2018

Employers in Maine submitted 8 WARN Act notices in November 2018, putting at risk an estimated 116 workers — down from October and down 28% versus November 2017. The average filing covered 14 workers, with 0 closures among the notices.

8
Notices Filed
116
Workers Affected
14
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Maine
IndustryNoticesWorkers
Manufacturing361
Utilities121
Transportation120
Information & Technology15
Healthcare13

The Manufacturing sector emerged as the hardest-hit sector with 61 workers across 3 notices. Separately, Utilities reported 21 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
York150
Cumberland346
Androscoggin211

York was the epicenter of layoff activity, accounting for 43% of all affected workers with 50 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Berwick150
Portland346
Auburn18
Lewiston13

Layoff Type Analysis

Layoff type classification was not available for filings in Maine this month.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Post Consumer Brands/WeetabixBerwick50
ReEnergy HoldingsPortland21
Access WorldwidePortland20
Thomas MoserAuburn8
Landmark6
CarbonitePortland5
Weber Machine USA3
Covenant Health- St. Mary'sLewiston3

Topping the list was Post Consumer Brands/Weetabix at its Berwick facility, reporting 50 affected workers. ReEnergy Holdings followed with 21 workers.

Trend & Outlook

These figures highlight a easing in workforce disruptions across Maine, with filings falling below both recent and year-ago levels. The Manufacturing sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Maine. 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 Maine WARN notices, browse layoffs by state, or download the full dataset.

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