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Washington DC Layoffs — February 2025

Employers in Washington DC filed 2 WARN Act notices in February 2025, impacting roughly 601 workers — representing a notable rise over January and up 216% versus February 2024. The average filing covered 300 workers, with 1 closure among the notices.

2
Notices Filed
601
Workers Affected
300
Avg per Notice
1
Closures

Industry Breakdown

Industry breakdown for Washington DC
IndustryNoticesWorkers
Healthcare2601

The Healthcare sector led the way in workforce reductions with 601 workers across 2 notices.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
District Of Columbia2601

District Of Columbia bore the heaviest burden, accounting for 100% of all affected workers with 601 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Washington2601

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure1485
Layoff1116

The high proportion of closures (81% of affected workers) suggests structural shifts rather than temporary cutbacks in Washington DC's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
United Medical CenterWashington485Closure
Save the ChildrenWashington116Layoff

The single largest action involved United Medical Center at its Washington facility, reporting 485 affected workers. Save the Children followed with 116 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The data underscores mounting pressure on the Washington DC labor market, with activity running above both recent and year-ago benchmarks. The Healthcare 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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