Washington DC Layoffs — March 2024
Employers in Washington DC filed 3 WARN Act notices in March 2024, impacting roughly 462 workers — representing a notable rise over February and up 73% versus March 2023. The average filing covered 154 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Government | 1 | 230 |
| Utilities | 1 | 159 |
| Information & Technology | 1 | 73 |
The Government sector led the way in workforce reductions with 230 workers across 1 notice. In a parallel development, Utilities reported 159 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| District Of Columbia | 3 | 462 |
District Of Columbia bore the heaviest burden, accounting for 100% of all affected workers with 462 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Washington | 3 | 462 |
Layoff Type Analysis
Layoff type classification was not available for filings in Washington DC this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| National Democratic Institute | Washington | 230 | ||
| Volta Charging Industries | Washington | 159 | ||
| Reach Media | Washington | 73 |
The single largest action involved National Democratic Institute at its Washington facility, reporting 230 affected workers. Volta Charging Industries followed with 159 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 Government 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.