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Colorado Layoffs — September 2022

Employers in Colorado submitted 5 WARN Act notices in September 2022, putting at risk an estimated 261 workers — up substantially from August and up 43% versus September 2021. The average filing covered 52 workers, with 0 closures among the notices.

5
Notices Filed
261
Workers Affected
52
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Colorado
IndustryNoticesWorkers
Manufacturing1121
Utilities1104
Government119
Accommodation & Food115
Healthcare12

The Manufacturing sector emerged as the hardest-hit sector with 121 workers across 1 notice. Separately, Utilities reported 104 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Adams4140
Jefferson1121

Adams absorbed the greatest share of layoffs, accounting for 54% of all affected workers with 140 workers across 4 notices.

Top cities by layoff notices
CityNoticesWorkers
Denver5261

Layoff Type Analysis

Layoff type classification was not available for filings in Colorado this month.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Platerra FoodsDenver121
Chord EnergyDenver104
Sam'S ServiceDenver19
New Horizon Foods at Little Sisters of the Poor DenverDenver15
Facility HealthCare ServicesDenver2

Topping the list was Platerra Foods at its Denver facility, reporting 121 affected workers. Chord Energy followed with 104 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

These figures highlight mounting pressure on the Colorado labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing 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.

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