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Arizona Layoffs — May 2023

Employers in Arizona recorded 5 WARN Act notices in May 2023, covering approximately 147 workers — marking a decline from April and up 268% versus May 2022. The average filing covered 29 workers, with 0 closures among the notices.

5
Notices Filed
147
Workers Affected
29
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Arizona
IndustryNoticesWorkers
Transportation1108
Retail113
Education112
Information & Technology19
Construction15

The Transportation sector accounted for the largest share of job cuts with 108 workers across 1 notice. At the same time, Retail reported 13 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Pima1108
Coconino222
Mohave217

Pima bore the heaviest burden, accounting for 73% of all affected workers with 108 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Tuscon1108
Flagstaff222
Kingman112
Lake Havasu City15

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
TuSimpleTuscon108
Tuesday MorningFlagstaff13
The CLUB for YouthKingman12
Norton EnvironmentalFlagstaff9
Sky High Crane & RiggingLake Havasu City5

Leading the list was TuSimple at its Tuscon facility, reporting 108 affected workers. Tuesday Morning followed with 13 workers.

Trend & Outlook

This is the third consecutive month of declining layoff activity.

The filings reflect a mixed picture for Arizona's labor market, with activity diverging between monthly and annual comparisons. The Transportation 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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