Colorado Layoffs — March 2016

Employers in Colorado submitted 10 WARN Act notices in March 2016, putting at risk an estimated 1,090 workers — down from February and up 166% versus March 2015. The average filing covered 109 workers, with 3 closures among the notices.

10
Notices Filed
1,090
Workers Affected
109
Avg per Notice
3
Closures

Industry Breakdown

IndustryNoticesWorkers
Utilities2416
Accommodation & Food20

The Utilities sector emerged as the hardest-hit sector with 416 workers across 2 notices. Separately, Accommodation & Food reported 0 workers.

Geographic Hotspots

CityNoticesWorkers
Pikes Peak/Teller1328
Rural Resort3215
Arapahoe/Douglas12

Layoff Type Analysis

TypeNoticesWorkers
Closure3217

Closures accounted for 20% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
Xerox Business Services3282016-03-31
XeroxPikes Peak/Teller3282016-03-31
WPX Energy208Closure2016-03-10
WPX EnergyRural Resort2082016-03-10
Tubular Repair7Closure2016-03-19
Tubular RepairRural Resort72016-03-19
MYCOM North America2Closure2016-03-15
MYCOM North AmericaArapahoe/Douglas22016-03-15
Sky Hotel 39 Degrees Recinds Layoffs from 2/5/16 WARNN/A2016-03-18
Sky Hotel 39 Degrees Recinds Layoffs from 2/5/16 WARNRural ResortN/A2016-03-18

Topping the list was Xerox Business Services at its Colorado facility, reporting 328 affected workers. Xerox followed with 328 workers.

Trend & Outlook

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