Connecticut Layoffs — November 2025

Employers in Connecticut logged 7 WARN Act notices in November 2025, involving roughly 657 workers — falling below October and up 503% versus November 2024. The average filing covered 94 workers, with 7 closures among the notices.

7
Notices Filed
657
Workers Affected
94
Avg per Notice
7
Closures

Industry Breakdown

Industry classification was not available for filings in Connecticut this month. A total of 657 workers were affected across 7 notices.

Geographic Hotspots

CountyNoticesWorkers
New Haven2586
Hartford371
Fairfield20

New Haven saw the most concentrated activity, accounting for 89% of all affected workers with 586 workers across 2 notices.

CityNoticesWorkers
Milford2586
Bristol266
Enfield15
Shelton20

Layoff Type Analysis

TypeNoticesWorkers
Closure7657

The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Connecticut's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
Edgewell Personal Care/SchickMilford293Closure2025-11-13
Edgewell Personal Care/SchickMilford293Closure2025-11-13
Metallics, IncBristol33Closure2025-11-07
NSI Industries, LLC; Metallics, IncBristol33Closure2025-11-07
Connecticut Custom CarEnfield5Closure2025-11-26
PosiGen Developer LLCSheltonN/AClosure2025-11-14
PosiGen Developer LLCSheltonN/AClosure2025-11-14

The biggest impact was at Edgewell Personal Care/Schick at its Milford facility, reporting 293 affected workers. Edgewell Personal Care/Schick followed with 293 workers.

Trend & Outlook

This data points to a mixed picture for Connecticut's labor market, with activity diverging between monthly and annual comparisons.

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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