Connecticut Layoffs — June 2025
Employers in Connecticut submitted 2 WARN Act notices in June 2025, putting at risk an estimated 319 workers — up substantially from May. The average filing covered 160 workers, with 2 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Healthcare | 1 | 179 |
| Transportation | 1 | 140 |
The Healthcare sector emerged as the hardest-hit sector with 179 workers across 1 notice. Separately, Transportation reported 140 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Fairfield | 2 | 319 |
Fairfield bore the heaviest burden, accounting for 100% of all affected workers with 319 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Trumbull | 1 | 179 |
| Stamford | 1 | 140 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 2 | 319 |
The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Connecticut's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Hbr Trumbull, LLC DBA St. Joseph's Center | Trumbull | 179 | Closure | |
| First Student | Stamford | 140 | Closure |
Topping the list was Hbr Trumbull, LLC DBA St. Joseph's Center at its Trumbull facility, reporting 179 affected workers. First Student followed with 140 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight mounting pressure on the Connecticut labor market, with activity running above both recent and year-ago benchmarks. The Healthcare 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.