New Jersey Layoffs — February 2013
Employers in New Jersey submitted 4 WARN Act notices in February 2013, putting at risk an estimated 654 workers — down from January and down 14% versus February 2012. The average filing covered 164 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 2 | 401 |
| Mining & Energy | 1 | 170 |
| Information & Technology | 1 | 83 |
The Finance & Insurance sector emerged as the hardest-hit sector with 401 workers across 2 notices. Separately, Mining & Energy reported 170 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Bergen | 1 | 356 |
| Middlesex | 1 | 170 |
| Bucks | 1 | 83 |
| Hudson | 1 | 45 |
Bergen felt the sharpest impact, accounting for 54% of all affected workers with 356 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Paramus | 1 | 356 |
| Port Reading | 1 | 170 |
| Yardley | 1 | 83 |
| Jersey City | 1 | 45 |
Layoff Type Analysis
Layoff type classification was not available for filings in New Jersey this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| M & T Bank | Paramus | 356 | ||
| Hess | Port Reading | 170 | ||
| Journal Register | Yardley | 83 | ||
| Knight Capital Group | Jersey City | 45 |
Topping the list was M & T Bank at its Paramus facility, reporting 356 affected workers. Hess followed with 170 workers.
Trend & Outlook
These figures highlight a easing in workforce disruptions across New Jersey, with filings falling below both recent and year-ago levels. The Finance & Insurance sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by New Jersey. 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 New Jersey WARN notices, browse layoffs by state, or download the full dataset.