Employers in Connecticut logged 3 WARN Act notices in July 2014, involving roughly 333 workers — climbing above June. The average filing covered 111 workers, with 2 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 145 |
| Finance & Insurance | 1 | 119 |
The Manufacturing sector dominated layoff filings with 145 workers across 1 notice. Meanwhile, Finance & Insurance reported 119 workers.
| County | Notices | Workers |
|---|---|---|
| New London | 1 | 145 |
| Fairfield | 1 | 119 |
| Hartford | 1 | 69 |
New London bore the heaviest burden, accounting for 44% of all affected workers with 145 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Versailles | 1 | 145 |
| Bridgeport | 1 | 119 |
| Enfield | 1 | 69 |
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 214 |
| Layoff | 1 | 119 |
The high proportion of closures (64% of affected workers) suggests structural shifts rather than temporary cutbacks in Connecticut's labor market.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Fusion Paperboard | Versailles | 145 | Closure | 2014-07-23 |
| Citizens Bank, N.A | Bridgeport | 119 | Layoff | 2014-07-23 |
| 3M | Enfield | 69 | Closure | 2014-07-29 |
The biggest impact was at Fusion Paperboard at its Versailles facility, reporting 145 affected workers. Citizens Bank, N.A followed with 119 workers.
This marks the third consecutive month of rising layoff activity.
This data points to mounting pressure on the Connecticut labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing 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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