Washington DC Layoffs — May 2005
Employers in Washington DC recorded 4 WARN Act notices in May 2005, covering approximately 219 workers — marking a sharp increase from April. The average filing covered 55 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Government | 2 | 84 |
| Education | 1 | 75 |
| Accommodation & Food | 1 | 60 |
The Government sector accounted for the largest share of job cuts with 84 workers across 2 notices. At the same time, Education reported 75 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| District Of Columbia | 4 | 219 |
District Of Columbia absorbed the greatest share of layoffs, accounting for 100% of all affected workers with 219 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Washington | 4 | 219 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 4 | 219 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Sterling Cleaners & Textile Services | Washington | 82 | Layoff | |
| DC Public Schools Transportation | Washington | 75 | Layoff | |
| Park Hyatt Hotel | Washington | 60 | Layoff | |
| Faa | Washington | 2 | Layoff |
Leading the list was Sterling Cleaners & Textile Services at its Washington facility, reporting 82 affected workers. DC Public Schools Transportation followed with 75 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The filings reflect 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.