Colorado Layoffs — November 2024
Employers in Colorado posted 5 WARN Act notices in November 2024, affecting an estimated 915 workers — reflecting a significant uptick compared to October and up 24% versus November 2023. The average filing covered 183 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 1 | 404 |
| Utilities | 1 | 313 |
| Manufacturing | 2 | 125 |
| Information & Technology | 1 | 73 |
The Transportation sector saw the heaviest impact with 404 workers across 1 notice. On a related front, Utilities reported 313 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Adams | 3 | 790 |
| Cheyenne | 2 | 125 |
Adams absorbed the greatest share of layoffs, accounting for 86% of all affected workers with 790 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Denver | 3 | 790 |
| Arapahoe | 2 | 125 |
Layoff Type Analysis
Layoff type classification was not available for filings in Colorado this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| UPS | Denver | 404 | ||
| Chord Energy | Denver | 313 | ||
| Chord Energy | Denver | 73 | ||
| Boeing | Arapahoe | 63 | ||
| Boeing | Arapahoe | 62 |
The largest notice was filed by UPS at its Denver facility, reporting 404 affected workers. Chord Energy followed with 313 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The trends suggest mounting pressure on the Colorado labor market, with activity running above both recent and year-ago benchmarks. The Transportation sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Colorado. 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 Colorado WARN notices, browse layoffs by state, or download the full dataset.