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Colorado Layoffs — July 2016

Employers in Colorado submitted 5 WARN Act notices in July 2016, putting at risk an estimated 566 workers — up substantially from June and down 45% versus July 2015. The average filing covered 113 workers, with 0 closures among the notices.

5
Notices Filed
566
Workers Affected
113
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Colorado
IndustryNoticesWorkers
Manufacturing3345
Government1141

The Manufacturing sector emerged as the hardest-hit sector with 345 workers across 3 notices. Separately, Government reported 141 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Cheyenne2221
El Paso1210
Adams2135

Cheyenne bore the heaviest burden, accounting for 39% of all affected workers with 221 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Pikes Peak1210
Kit Carson1141
Arapahoe180
Adams170
Denver165

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
HoneywellPikes Peak210
CCA- Kit Carson Correctional FacilityKit Carson141
ExcelsiorArapahoe80
Packaging Corporation of AmericaAdams70
Northwest PipeDenver65

Topping the list was Honeywell at its Pikes Peak facility, reporting 210 affected workers. CCA- Kit Carson Correctional Facility followed with 141 workers.

Trend & Outlook

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

These figures highlight a mixed picture for Colorado's labor market, with activity diverging between monthly and annual comparisons. 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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