Washington DC Layoffs — May 2006
Employers in Washington DC submitted 2 WARN Act notices in May 2006, putting at risk an estimated 239 workers and up 9% versus May 2005. The average filing covered 120 workers, with 1 closure among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Accommodation & Food | 1 | 149 |
| Information & Technology | 1 | 90 |
The Accommodation & Food sector emerged as the hardest-hit sector with 149 workers across 1 notice. Separately, Information & Technology reported 90 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| District Of Columbia | 2 | 239 |
District Of Columbia bore the heaviest burden, accounting for 100% of all affected workers with 239 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Washington | 2 | 239 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Closure | 1 | 149 |
| Layoff | 1 | 90 |
The high proportion of closures (62% of affected workers) suggests structural shifts rather than temporary cutbacks in Washington DC's labor market.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Aramark | Washington | 149 | Closure | |
| Wackenhut Services | Washington | 90 | Layoff |
Topping the list was Aramark at its Washington facility, reporting 149 affected workers. Wackenhut Services followed with 90 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight mounting pressure on the Washington DC labor market, with activity running above both recent and year-ago benchmarks. 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.