Maryland Layoffs — April 2013

Employers in Maryland reported 6 WARN Act notices in April 2013, displacing an estimated 1,172 workers — signaling an acceleration from March and up 28% versus April 2012. The average filing covered 195 workers, with 5 closures among the notices.

6
Notices Filed
1,172
Workers Affected
195
Avg per Notice
5
Closures

Industry Breakdown

IndustryNoticesWorkers
Education1202

The Education sector topped the list of affected industries with 202 workers across 1 notice.

Geographic Hotspots

CountyNoticesWorkers
Montgomery135

Montgomery saw the most concentrated activity, accounting for 3% of all affected workers with 35 workers across 1 notices.

CityNoticesWorkers
Bethesda135

Layoff Type Analysis

TypeNoticesWorkers
Closure51,137

The high proportion of closures (97% of affected workers) suggests structural shifts rather than temporary cutbacks in Maryland's labor market.

Largest Layoffs

CompanyCityWorkersTypeDate
MV Transportation447Closure2013-04-12
Marriott International, Inc300Closure2013-04-22
ARAMARK Educational Services, LLC202Closure2013-04-29
MV Transportation188Closure2013-04-10
Marriott International, IncBethesda352013-04-22
Marriott International, IncN/AClosure2013-04-22

The most significant filing came from MV Transportation at its Maryland facility, reporting 447 affected workers. Marriott International, Inc followed with 300 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The numbers illustrate mounting pressure on the Maryland labor market, with activity running above both recent and year-ago benchmarks. The Education 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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