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Maryland Layoffs — September 2020

Employers in Maryland recorded 6 WARN Act notices in September 2020, covering approximately 878 workers — marking a sharp increase from August and up 164% versus September 2019. The average filing covered 146 workers, with 0 closures among the notices.

6
Notices Filed
878
Workers Affected
146
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Maryland
IndustryNoticesWorkers
Other1673
Transportation3199
Real Estate26

The Other sector accounted for the largest share of job cuts with 673 workers across 1 notice. At the same time, Transportation reported 199 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Montgomery1673
Anne Arundel5205

Montgomery felt the sharpest impact, accounting for 77% of all affected workers with 673 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Bethesda1673
Baltimore5205

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff6878

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Marriott InternationalBethesda673Layoff
Errands PlusBaltimore131Layoff
International Limousine ServiceBaltimore34Layoff
RMA CoachBaltimore34Layoff
Avis Budget GroupBaltimore5Layoff
Avis Budget GroupBaltimore1Layoff

Leading the list was Marriott International at its Bethesda facility, reporting 673 affected workers. Errands Plus followed with 131 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The filings reflect 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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