Connecticut Layoffs — December 2017
Employers in Connecticut posted 3 WARN Act notices in December 2017, affecting an estimated 285 workers — reflecting a significant uptick compared to 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 saw the heaviest impact with 195 workers across 1 notice. On a related front, Mining & Energy reported 84 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| New Haven | 1 | 195 |
| Fairfield | 2 | 90 |
New Haven absorbed the greatest share of layoffs, 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 largest notice was filed by 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 trends suggest 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.