Employers in Maryland logged 5 WARN Act notices in May 2004, involving roughly 764 workers — climbing above April and up 296% versus May 2003. The average filing covered 153 workers, with 3 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Other | 5 | 764 |
The Other sector dominated layoff filings with 764 workers across 5 notices.
| County | Notices | Workers |
|---|---|---|
| Frederick | 1 | 158 |
Frederick bore the heaviest burden, accounting for 21% of all affected workers with 158 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Baltimore City | 3 | 342 |
| Landover | 1 | 264 |
| Frederick | 1 | 158 |
| Type | Notices | Workers |
|---|---|---|
| Closure | 3 | 455 |
| Layoff | 2 | 309 |
The high proportion of closures (60% of affected workers) suggests structural shifts rather than temporary cutbacks in Maryland's labor market.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Giant Food | Landover | 264 | Layoff | 2004-05-14 |
| USF Red Star | Baltimore City | 197 | Closure | 2004-05-25 |
| Crown American Hotels | Frederick | 158 | Closure | 2004-05-13 |
| Smurfit-Stone Corrugated Container | Baltimore City | 100 | Closure | 2004-05-05 |
| FMC Corp. Agri. Group | Baltimore City | 45 | Layoff | 2004-05-11 |
The biggest impact was at Giant Food at its Landover facility, reporting 264 affected workers. USF Red Star followed with 197 workers.
After a dip last month, layoff activity has ticked back up.
This data points to mounting pressure on the Maryland labor market, with activity running above both recent and year-ago benchmarks. The Other 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.
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