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Maryland Layoffs — November 2019

Employers in Maryland recorded 3 WARN Act notices in November 2019, covering approximately 102 workers — marking a sharp increase from October and down 82% versus November 2018. The average filing covered 34 workers, with 0 closures among the notices.

3
Notices Filed
102
Workers Affected
34
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Maryland
IndustryNoticesWorkers
Healthcare165
Finance & Insurance136
Real Estate11

The Healthcare sector accounted for the largest share of job cuts with 65 workers across 1 notice. At the same time, Finance & Insurance reported 36 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Anne Arundel266
Montgomery136

Anne Arundel felt the sharpest impact, accounting for 65% of all affected workers with 66 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Linthicum Heights165
Bethesda136
Glen Burnie11

Layoff Type Analysis

Layoff type classification was not available for filings in Maryland this month.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Beacon Health OptionsLinthicum Heights65
Common Securizations SolutionsBethesda36
Oakwood Worldwide (US)Glen Burnie1

Leading the list was Beacon Health Options at its Linthicum Heights facility, reporting 65 affected workers. Common Securizations Solutions followed with 36 workers.

Trend & Outlook

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

The filings reflect a mixed picture for Maryland's labor market, with activity diverging between monthly and annual comparisons. The Healthcare 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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