Washington DC Layoffs — June 2005
Employers in Washington DC recorded 4 WARN Act notices in June 2005, covering approximately 275 workers — marking a sharp increase from May. The average filing covered 69 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Healthcare | 2 | 153 |
| Professional Services | 1 | 110 |
| Government | 1 | 12 |
The Healthcare sector accounted for the largest share of job cuts with 153 workers across 2 notices. At the same time, Professional Services reported 110 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| District Of Columbia | 3 | 165 |
District Of Columbia absorbed the greatest share of layoffs, accounting for 60% of all affected workers with 165 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Washington | 3 | 165 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 4 | 275 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Greater SE Community Hospital | Washington | 147 | Layoff | |
| CACI-Justice Department | 110 | Layoff | ||
| Fdic | Washington | 12 | Layoff | |
| Greater SE Community Hospital | Washington | 6 | Layoff |
Leading the list was Greater SE Community Hospital at its Washington facility, reporting 147 affected workers. CACI-Justice Department followed with 110 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The filings reflect 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.