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Maryland Layoffs — May 2000

Employers in Maryland recorded 2 WARN Act notices in May 2000, covering approximately 731 workers — marking a sharp increase from April. The average filing covered 366 workers, with 1 closure among the notices.

2
Notices Filed
731
Workers Affected
366
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Maryland
IndustryNoticesWorkers
Manufacturing1450
Information & Technology1281

The Manufacturing sector accounted for the largest share of job cuts with 450 workers across 1 notice. At the same time, Information & Technology reported 281 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Baltimore City1450
Prince Georges1281

Baltimore City saw the most concentrated activity, accounting for 62% of all affected workers with 450 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Baltimore City1450
Greenbelt1281

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff1450
Closure1281

Closures accounted for 38% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
General MotorsBaltimore City450Layoff
Cellularone/SbmsGreenbelt281Closure

Leading the list was General Motors at its Baltimore City facility, reporting 450 affected workers. Cellularone/Sbms followed with 281 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 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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