Washington DC Layoffs — April 2020
Employers in Washington DC posted 5 WARN Act notices in April 2020, affecting an estimated 737 workers — reflecting a cooling compared to March. The average filing covered 147 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Accommodation & Food | 4 | 719 |
| Healthcare | 1 | 18 |
The Accommodation & Food sector saw the heaviest impact with 719 workers across 4 notices. On a related front, Healthcare reported 18 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| District Of Columbia | 5 | 737 |
District Of Columbia bore the heaviest burden, accounting for 100% of all affected workers with 737 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| Washington | 5 | 737 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 237 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Trump Interational Hotel | Washington | 237 | Layoff | |
| Trump International Hotel & Tower Condominium DBA Trump International Hotel & To | Washington | 237 | ||
| Hyatt | Washington | 178 | ||
| MomoFuku | Washington | 67 | ||
| Visionworks | Washington | 18 |
The largest notice was filed by 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 trends suggest 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.