Maryland Layoffs — November 2016
Employers in Maryland filed 3 WARN Act notices in November 2016, impacting roughly 261 workers — representing a notable rise over October and up 14% versus November 2015. The average filing covered 87 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 146 |
| Transportation | 1 | 115 |
The Manufacturing sector led the way in workforce reductions with 146 workers across 2 notices. In a parallel development, Transportation reported 115 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harford | 1 | 115 |
| Anne Arundel | 1 | 73 |
| Caroline | 1 | 73 |
Harford absorbed the greatest share of layoffs, accounting for 44% of all affected workers with 115 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Aberdeen | 1 | 115 |
| Baltimore | 1 | 73 |
| Federalsburg | 1 | 73 |
Layoff Type Analysis
Layoff type classification was not available for filings in Maryland this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Kenoc Logistic Services, LLC's | Aberdeen | 115 | ||
| Simpson Strong-Tie | Baltimore | 73 | ||
| Kraft Foods | Federalsburg | 73 |
The single largest action involved Kenoc Logistic Services, LLC's at its Aberdeen facility, reporting 115 affected workers. Simpson Strong-Tie followed with 73 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The data underscores mounting pressure on the Maryland labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing 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.