Employers in Connecticut submitted 3 WARN Act notices in May 2014, putting at risk an estimated 194 workers — down from April. The average filing covered 65 workers, with 1 closure among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 1 | 125 |
| Utilities | 2 | 69 |
The Finance & Insurance sector emerged as the hardest-hit sector with 125 workers across 1 notice. Separately, Utilities reported 69 workers.
| County | Notices | Workers |
|---|---|---|
| Fairfield | 1 | 125 |
| Hartford | 1 | 59 |
| New London | 1 | 10 |
Fairfield felt the sharpest impact, accounting for 64% of all affected workers with 125 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Bridgeport | 1 | 125 |
| Windsor | 1 | 59 |
| Groton | 1 | 10 |
| Type | Notices | Workers |
|---|---|---|
| Layoff | 2 | 135 |
| Closure | 1 | 59 |
Closures accounted for 30% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Citizens Bank, N.A | Bridgeport | 125 | Layoff | 2014-05-29 |
| Westinghouse Electric Company LLC (Update to 3/26/14 notice) | Windsor | 59 | Closure | 2014-05-09 |
| Electric Boat | Groton | 10 | Layoff | 2014-05-23 |
Topping the list was Citizens Bank, N.A at its Bridgeport facility, reporting 125 affected workers. Westinghouse Electric Company LLC (Update to 3/26/14 notice) followed with 59 workers.
These figures highlight a mixed picture for Connecticut's labor market, with activity diverging between monthly and annual comparisons. The Finance & Insurance 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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