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Maryland Layoffs — November 2022

Employers in Maryland recorded 8 WARN Act notices in November 2022, covering approximately 304 workers — marking a decline from October and up 94% versus November 2021. The average filing covered 38 workers, with 0 closures among the notices.

8
Notices Filed
304
Workers Affected
38
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Maryland
IndustryNoticesWorkers
Manufacturing5218
Finance & Insurance255
Retail131

The Manufacturing sector accounted for the largest share of job cuts with 218 workers across 5 notices. At the same time, Finance & Insurance reported 55 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Montgomery3157
Anne Arundel285
Frederick131
Howard124
Baltimore17

Montgomery felt the sharpest impact, accounting for 52% of all affected workers with 157 workers across 3 notices.

Top cities by layoff notices
CityNoticesWorkers
Gaithersburg2104
Curtis Bay154
Rockville153
Frederick131
Baltimore131

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff131

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
CatalentGaithersburg82
Fila USACurtis Bay54
CatalentRockville53
Wells FargoFrederick31Layoff
Price Rite StoreBaltimore31
New RezColumbia24
NexImmuneGaithersburg22
Fila USASparks Glencoe7

Leading the list was Catalent at its Gaithersburg facility, reporting 82 affected workers. Fila USA followed with 54 workers.

Trend & Outlook

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