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Connecticut Layoffs — July 2018

Employers in Connecticut recorded 2 WARN Act notices in July 2018, covering approximately 245 workers — marking a sharp increase from June and up 61% versus July 2017. The average filing covered 122 workers, with 2 closures among the notices.

2
Notices Filed
245
Workers Affected
122
Avg per Notice
2
Closures

Industry Breakdown

Industry breakdown for Connecticut
IndustryNoticesWorkers
Healthcare2245

The Healthcare sector accounted for the largest share of job cuts with 245 workers across 2 notices.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Fairfield1200
New Haven145

Fairfield absorbed the greatest share of layoffs, accounting for 82% of all affected workers with 200 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Bridgeport1200
Waterbury145

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure2245

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Bridgeport ManorBridgeport200Closure
Rosegarden Health and Rehabilitation CenterWaterbury45Closure

Leading the list was Bridgeport Manor at its Bridgeport facility, reporting 200 affected workers. Rosegarden Health and Rehabilitation Center followed with 45 workers.

Trend & Outlook

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

The filings reflect mounting pressure on the Connecticut labor market, with activity running above both recent and year-ago benchmarks. The Healthcare 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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