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Connecticut Layoffs — January 2014

Employers in Connecticut logged 3 WARN Act notices in January 2014, involving roughly 314 workers. The average filing covered 105 workers, with 2 closures among the notices.

3
Notices Filed
314
Workers Affected
105
Avg per Notice
2
Closures

Industry Breakdown

Industry breakdown for Connecticut
IndustryNoticesWorkers
Transportation1151
Retail1101
Utilities162

The Transportation sector dominated layoff filings with 151 workers across 1 notice. Meanwhile, Retail reported 101 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
New Haven2252
Hartford162

New Haven felt the sharpest impact, accounting for 80% of all affected workers with 252 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Cheshire1151
Meriden1101
Windsor162

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure2163
Layoff1151

The high proportion of closures (52% of affected workers) suggests structural shifts rather than temporary cutbacks in Connecticut's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Macy’s Logistics & OperationsCheshire151Layoff
JCPenneyMeriden101Closure
Westinghouse ElectricWindsor62Closure

The biggest impact was at Macy’s Logistics & Operations at its Cheshire facility, reporting 151 affected workers. JCPenney followed with 101 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

This data points to mounting pressure on the Connecticut labor market, with activity running above both recent and year-ago benchmarks. 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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