Maryland Layoffs — October 2009

Employers in Maryland recorded 3 WARN Act notices in October 2009, covering approximately 774 workers — marking a sharp increase from September and up 1234% versus October 2008. The average filing covered 258 workers, with 3 closures among the notices.

3
Notices Filed
774
Workers Affected
258
Avg per Notice
3
Closures

Industry Breakdown

IndustryNoticesWorkers
Accommodation & Food2722
Other152

The Accommodation & Food sector accounted for the largest share of job cuts with 722 workers across 2 notices. At the same time, Other reported 52 workers.

Geographic Hotspots

CountyNoticesWorkers
Anne Arundel3774

Anne Arundel bore the heaviest burden, accounting for 100% of all affected workers with 774 workers across 3 notices.

CityNoticesWorkers
Baltimore3774

Layoff Type Analysis

TypeNoticesWorkers
Closure3774

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

Largest Layoffs

CompanyCityWorkersTypeDate
ARAMARK Oriole Park at Camden YardsBaltimore609Closure2009-10-20
ARAMARK Sports & Entertainment LLCBaltimore113Closure2009-10-20
Algorithme PharmaBaltimore52Closure2009-10-26

Leading the list was ARAMARK Oriole Park at Camden Yards at its Baltimore facility, reporting 609 affected workers. ARAMARK Sports & Entertainment LLC followed with 113 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

The filings reflect mounting pressure on the Maryland labor market, with activity running above both recent and year-ago benchmarks. The Accommodation & Food 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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