Arizona Layoffs — November 2019
Employers in Arizona filed 5 WARN Act notices in November 2019, impacting roughly 282 workers — representing a pullback from October and down 21% versus November 2018. The average filing covered 56 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 204 |
| Healthcare | 1 | 67 |
| Retail | 1 | 10 |
| Information & Technology | 1 | 1 |
The Manufacturing sector led the way in workforce reductions with 204 workers across 2 notices. In a parallel development, Healthcare reported 67 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Maricopa | 3 | 268 |
| Yuma | 2 | 14 |
Maricopa absorbed the greatest share of layoffs, accounting for 95% of all affected workers with 268 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Tempe | 1 | 200 |
| Phoenix | 2 | 68 |
| Yuma | 2 | 14 |
Layoff Type Analysis
Layoff type classification was not available for filings in Arizona this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Paradigm Precision | Tempe | 200 | ||
| District medical Group (DMG) | Phoenix | 67 | ||
| Pier 1 | Yuma | 10 | ||
| Factory Motor Parts (FMP) | Yuma | 4 | ||
| Cerner | Phoenix | 1 |
The single largest action involved Paradigm Precision at its Tempe facility, reporting 200 affected workers. District medical Group (DMG) followed with 67 workers.
Trend & Outlook
The data underscores a easing in workforce disruptions across Arizona, with filings falling below both recent and year-ago levels. The Manufacturing 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.