Maryland Layoffs — October 2005

Employers in Maryland filed 3 WARN Act notices in October 2005, impacting roughly 711 workers — representing a notable rise over September and up 226% versus October 2004. The average filing covered 237 workers, with 2 closures among the notices.

3
Notices Filed
711
Workers Affected
237
Avg per Notice
2
Closures

Industry Breakdown

IndustryNoticesWorkers
Other2710
Accommodation & Food11

The Other sector led the way in workforce reductions with 710 workers across 2 notices. In a parallel development, Accommodation & Food reported 1 workers.

Geographic Hotspots

CountyNoticesWorkers
Frederick1602
Prince Georges11

Frederick bore the heaviest burden, accounting for 85% of all affected workers with 602 workers across 1 notices.

CityNoticesWorkers
Buckeystown1602
Baltimore City1108
Beltsville11

Layoff Type Analysis

TypeNoticesWorkers
Closure2710
Layoff11

The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in Maryland's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
Alco Eastalco WorksBuckeystown602Closure2005-10-13
Lesaffre Yeast CorporationBaltimore City108Closure2005-10-31
CingularBeltsville1Layoff2005-10-07

The single largest action involved Alco Eastalco Works at its Buckeystown facility, reporting 602 affected workers. Lesaffre Yeast Corporation followed with 108 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 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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