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Washington DC Layoffs — April 2020

Employers in Washington DC reported 5 WARN Act notices in April 2020, displacing an estimated 737 workers — signaling a deceleration from March. The average filing covered 147 workers, with 0 closures among the notices.

5
Notices Filed
737
Workers Affected
147
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Washington DC
IndustryNoticesWorkers
Accommodation & Food4719
Healthcare118

The Accommodation & Food sector topped the list of affected industries with 719 workers across 4 notices. Notably, Healthcare reported 18 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
District Of Columbia5737

District Of Columbia saw the most concentrated activity, accounting for 100% of all affected workers with 737 workers across 5 notices.

Top cities by layoff notices
CityNoticesWorkers
Washington5737

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Layoff1237

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Trump Interational HotelWashington237Layoff
Trump International Hotel & Tower Condominium DBA Trump International Hotel & ToWashington237
HyattWashington178
MomoFukuWashington67
VisionworksWashington18

The most significant filing came from Trump Interational Hotel at its Washington facility, reporting 237 affected workers. Trump International Hotel & Tower Condominium DBA Trump International Hotel & To followed with 237 workers.

Trend & Outlook

The numbers illustrate a mixed picture for Washington DC's labor market, with activity diverging between monthly and annual comparisons. The Accommodation & Food sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Washington DC. 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 Washington DC WARN notices, browse layoffs by state, or download the full dataset.

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