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Connecticut Layoffs — February 2019

Employers in Connecticut filed 2 WARN Act notices in February 2019, impacting roughly 125 workers — representing a pullback from January and up 3% versus February 2018. The average filing covered 62 workers, with 1 closure among the notices.

2
Notices Filed
125
Workers Affected
62
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Connecticut
IndustryNoticesWorkers
Transportation1122
Manufacturing13

The Transportation sector led the way in workforce reductions with 122 workers across 1 notice. In a parallel development, Manufacturing reported 3 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
New Haven2125

New Haven saw the most concentrated activity, accounting for 100% of all affected workers with 125 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Meriden1122
Middlebury13

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure1122
Layoff13

The high proportion of closures (98% of affected workers) suggests structural shifts rather than temporary cutbacks in Connecticut's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
New England Motor FreightMeriden122Closure
Spectrum PharmaceuticalsMiddlebury3Layoff

The single largest action involved New England Motor Freight at its Meriden facility, reporting 122 affected workers. Spectrum Pharmaceuticals followed with 3 workers.

Trend & Outlook

The data underscores a mixed picture for Connecticut's labor market, with activity diverging between monthly and annual comparisons. The Transportation 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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