Connecticut Layoffs — October 2017
Employers in Connecticut recorded 3 WARN Act notices in October 2017, covering approximately 211 workers — marking a sharp increase from September and up 4% versus October 2016. The average filing covered 70 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Accommodation & Food | 1 | 107 |
| Finance & Insurance | 2 | 104 |
The Accommodation & Food sector accounted for the largest share of job cuts with 107 workers across 1 notice. At the same time, Finance & Insurance reported 104 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Fairfield | 2 | 150 |
| Hartford | 1 | 61 |
Fairfield absorbed the greatest share of layoffs, accounting for 71% of all affected workers with 150 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Stamford | 2 | 150 |
| Bloomfield | 1 | 61 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 2 | 104 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Marriott International | Stamford | 107 | ||
| MetLife | Bloomfield | 61 | Layoff | |
| Royal Bank of Scotland, Plc and RBS Securities Inc. | Stamford | 43 | Layoff |
Leading the list was Marriott International at its Stamford facility, reporting 107 affected workers. MetLife followed with 61 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The filings reflect mounting pressure on the Connecticut labor market, with activity running above both recent and year-ago benchmarks. The Accommodation & Food 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.