Colorado Layoffs — September 2019
Employers in Colorado logged 4 WARN Act notices in September 2019, involving roughly 350 workers — climbing above August and up 227% versus September 2018. The average filing covered 88 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Information & Technology | 2 | 158 |
| Finance & Insurance | 1 | 136 |
| Accommodation & Food | 1 | 56 |
The Information & Technology sector dominated layoff filings with 158 workers across 2 notices. Meanwhile, Finance & Insurance reported 136 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Adams | 3 | 214 |
| Cheyenne | 1 | 136 |
Adams was the epicenter of layoff activity, accounting for 61% of all affected workers with 214 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Denver | 3 | 214 |
| Arapahoe | 1 | 136 |
Layoff Type Analysis
Layoff type classification was not available for filings in Colorado this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Brown Brothers Harriman & | Arapahoe | 136 | ||
| ABM Aviation | Denver | 79 | ||
| ABM Industries | Denver | 79 | ||
| Levy Premium Foodservice | Denver | 56 |
The biggest impact was at Brown Brothers Harriman & at its Arapahoe facility, reporting 136 affected workers. ABM Aviation followed with 79 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to mounting pressure on the Colorado labor market, with activity running above both recent and year-ago benchmarks. The Information & Technology 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.