Connecticut Layoffs — December 2017
Employers in Connecticut filed 3 WARN Act notices in December 2017, impacting roughly 285 workers — representing a notable rise over November and down 66% versus December 2016. The average filing covered 95 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Healthcare | 1 | 195 |
| Mining & Energy | 1 | 84 |
| Accommodation & Food | 1 | 6 |
The Healthcare sector led the way in workforce reductions with 195 workers across 1 notice. In a parallel development, Mining & Energy reported 84 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| New Haven | 1 | 195 |
| Fairfield | 2 | 90 |
New Haven felt the sharpest impact, accounting for 68% of all affected workers with 195 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| New Haven | 1 | 195 |
| Stamford | 2 | 90 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 84 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Towne Park at Yale-New Haven Hospital | New Haven | 195 | ||
| Noble Americas | Stamford | 84 | Layoff | |
| Marriott International | Stamford | 6 |
The single largest action involved Towne Park at Yale-New Haven Hospital at its New Haven facility, reporting 195 affected workers. Noble Americas followed with 84 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The data underscores a mixed picture for Connecticut's labor market, with activity diverging between monthly and annual comparisons. 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.