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Connecticut Layoffs — November 2018

Employers in Connecticut reported 3 WARN Act notices in November 2018, displacing an estimated 256 workers — signaling a deceleration from October and up 21% versus November 2017. The average filing covered 85 workers, with 2 closures among the notices.

3
Notices Filed
256
Workers Affected
85
Avg per Notice
2
Closures

Industry Breakdown

Industry breakdown for Connecticut
IndustryNoticesWorkers
Manufacturing1129
Transportation197
Retail130

The Manufacturing sector topped the list of affected industries with 129 workers across 1 notice. Notably, Transportation reported 97 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
New Haven1129
Windham2127

New Haven bore the heaviest burden, accounting for 50% of all affected workers with 129 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Naugatuck1129
Woodstock2127

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure2226

The high proportion of closures (88% of affected workers) suggests structural shifts rather than temporary cutbacks in Connecticut's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Danone U.S., LLCNaugatuck129Closure
Harvey Supply ChainWoodstock97Closure
Crabtree & EvelynWoodstock30

The most significant filing came from Danone U.S., LLC at its Naugatuck facility, reporting 129 affected workers. Harvey Supply Chain followed with 97 workers.

Trend & Outlook

The numbers illustrate a mixed picture for Connecticut'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 Connecticut. 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 Connecticut WARN notices, browse layoffs by state, or download the full dataset.

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