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Arizona Layoffs — October 2015

Employers in Arizona submitted 4 WARN Act notices in October 2015, putting at risk an estimated 1,172 workers and down 56% versus October 2014. The average filing covered 293 workers, with 0 closures among the notices.

4
Notices Filed
1,172
Workers Affected
293
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Arizona
IndustryNoticesWorkers
Mining & Energy1580
Education1467
Finance & Insurance196
Manufacturing129

The Mining & Energy sector emerged as the hardest-hit sector with 580 workers across 1 notice. Separately, Education reported 467 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Maricopa3705
Mohave1467

Maricopa bore the heaviest burden, accounting for 60% of all affected workers with 705 workers across 3 notices.

Top cities by layoff notices
CityNoticesWorkers
Phoenix1580
Golden Valley1467
Tempe196
Chandler129

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Freeport-McMoRan SierritaPhoenix580
Management & Training CoporationGolden Valley467
Walter Investment ManagmentTempe96
Marvell SemiconductorChandler29

Topping the list was Freeport-McMoRan Sierrita at its Phoenix facility, reporting 580 affected workers. Management & Training Coporation followed with 467 workers.

Trend & Outlook

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

These figures highlight a mixed picture for Arizona's labor market, with activity diverging between monthly and annual comparisons. The Mining & Energy sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by Arizona. 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 Arizona WARN notices, browse layoffs by state, or download the full dataset.

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