Connecticut Layoffs — September 2023

Employers in Connecticut posted 6 WARN Act notices in September 2023, affecting an estimated 762 workers — reflecting a cooling compared to August and up 88% versus September 2022. The average filing covered 127 workers, with 2 closures among the notices.

6
Notices Filed
762
Workers Affected
127
Avg per Notice
2
Closures

Industry Breakdown

IndustryNoticesWorkers
Retail2510
Healthcare2250
Finance & Insurance22

The Retail sector saw the heaviest impact with 510 workers across 2 notices. On a related front, Healthcare reported 250 workers.

Geographic Hotspots

CountyNoticesWorkers
Fairfield2510
New Haven2250

Fairfield was the epicenter of layoff activity, accounting for 67% of all affected workers with 510 workers across 2 notices.

CityNoticesWorkers
Norwalk2510
Waterbury2250
Remote22

Layoff Type Analysis

TypeNoticesWorkers
Closure2380

Closures accounted for 50% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
WalmartNorwalk255Closure2023-09-05
WalmartNorwalk2552023-09-05
Waterbury Gardens Nursing and Rehab LLC of WaterburyWaterbury125Closure2023-09-06
Waterbury Gardens Nursing and Rehab LLC of WaterburyWaterbury1252023-09-06
First Savings BankRemote12023-09-29
First Savings BankRemote12023-09-29

The largest notice was filed by Walmart at its Norwalk facility, reporting 255 affected workers. Walmart followed with 255 workers.

Trend & Outlook

The trends suggest a mixed picture for Connecticut's labor market, with activity diverging between monthly and annual comparisons. The Retail 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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