Employers in Connecticut posted 4 WARN Act notices in July 2019, affecting an estimated 434 workers — reflecting a cooling compared to June and down 45% versus July 2018. The average filing covered 108 workers, with 1 closure among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 286 |
| Utilities | 2 | 148 |
The Manufacturing sector saw the heaviest impact with 286 workers across 2 notices. On a related front, Utilities reported 148 workers.
| County | Notices | Workers |
|---|---|---|
| Hartford | 2 | 286 |
| Fairfield | 2 | 148 |
Hartford bore the heaviest burden, accounting for 66% of all affected workers with 286 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Windsor | 2 | 286 |
| Norwalk | 2 | 148 |
| Type | Notices | Workers |
|---|---|---|
| Closure | 1 | 143 |
Closures accounted for 33% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Arrow Electronics, Inc | Windsor | 143 | Closure | 2019-07-16 |
| Arrow Electronics, Inc | Windsor | 143 | 2019-07-16 | |
| Vistra Energy (Norwalk) | Norwalk | 74 | 2019-07-15 | |
| Vistra Energy (Norwalk) | Norwalk | 74 | 2019-07-15 |
The largest notice was filed by Arrow Electronics, Inc at its Windsor facility, reporting 143 affected workers. Arrow Electronics, Inc followed with 143 workers.
This is the third consecutive month of declining layoff activity.
The trends suggest a easing in workforce disruptions across Connecticut, with filings falling below both recent and year-ago levels. 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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