Connecticut Layoffs — July 2021
Employers in Connecticut filed 3 WARN Act notices in July 2021, impacting roughly 1,606 workers — representing a notable rise over June and up 121% versus July 2020. The average filing covered 535 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 2 | 1,494 |
| Transportation | 1 | 112 |
The Finance & Insurance sector led the way in workforce reductions with 1,494 workers across 2 notices. In a parallel development, Transportation reported 112 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Hartford | 2 | 1,494 |
| New Haven | 1 | 112 |
Hartford absorbed the greatest share of layoffs, accounting for 93% of all affected workers with 1,494 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Hartford | 2 | 1,494 |
| Waterbury | 1 | 112 |
Layoff Type Analysis
Layoff type classification was not available for filings in Connecticut this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| People's United Bank/M&T Bank | Hartford | 747 | ||
| M&T Bank | Hartford | 747 | ||
| Mercury Fuel Service | Waterbury | 112 |
The single largest action involved People's United Bank/M&T Bank at its Hartford facility, reporting 747 affected workers. M&T Bank followed with 747 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The data underscores mounting pressure on the Connecticut labor market, with activity running above both recent and year-ago benchmarks. 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.