Maryland Layoffs — November 2017
Employers in Maryland reported 4 WARN Act notices in November 2017, displacing an estimated 327 workers and up 25% versus November 2016. The average filing covered 82 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Retail | 2 | 188 |
| Finance & Insurance | 1 | 82 |
| Professional Services | 1 | 57 |
The Retail sector topped the list of affected industries with 188 workers across 2 notices. Notably, Finance & Insurance reported 82 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Anne Arundel | 1 | 141 |
| Frederick | 2 | 139 |
| York | 1 | 47 |
Anne Arundel felt the sharpest impact, accounting for 43% of all affected workers with 141 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Annapolis | 1 | 141 |
| Frederick | 2 | 139 |
| Abbottstown | 1 | 47 |
Layoff Type Analysis
Layoff type classification was not available for filings in Maryland this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Lord & Taylor | Annapolis | 141 | ||
| First Guaranty Mortgage | Frederick | 82 | ||
| Charles River Laboratories | Frederick | 57 | ||
| The Bon-Ton Stores | Abbottstown | 47 |
The most significant filing came from Lord & Taylor at its Annapolis facility, reporting 141 affected workers. First Guaranty Mortgage followed with 82 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The numbers illustrate mounting pressure on the Maryland labor market, with activity running above both recent and year-ago benchmarks. The Retail sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Maryland. 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 Maryland WARN notices, browse layoffs by state, or download the full dataset.