# Unemployment: Phoenix-Mesa-Chandler, AZ Metropolitan Statistical Area (U)

Unemployment: Phoenix-Mesa-Chandler, AZ Metropolitan Statistical Area (U) was up 21.4% year on year in September 2025, compared with 17.3% in August 2025.
The level stood at 110,878 thousands.
Over the past ten years it has ranged from −56.4% (Apr 2021) to 217.2% (Apr 2020), averaging 3.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38060.UNEMPLVL.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (440 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/unemployment-phoenix-mesa-chandler-az-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 110,878 thousands | — |
| August 2026 | 130,080 thousands | — |
| July 2026 | 128,672 thousands | — |
| June 2026 | 130,350 thousands | — |
| May 2026 | 111,200 thousands | — |
| April 2026 | 101,518 thousands | — |
| March 2026 | 107,309 thousands | — |
| February 2026 | 114,956 thousands | — |
| January 2026 | 119,715 thousands | — |
| December 2025 | 96,929 thousands | — |
| November 2025 | 105,073 thousands | — |
| September 2025 | 115,556 thousands | 21.4 |
| August 2025 | 117,561 thousands | 17.3 |
| July 2025 | 117,710 thousands | 11.1 |
| June 2025 | 111,382 thousands | 14.3 |
| May 2025 | 102,312 thousands | 25.7 |
| April 2025 | 92,925 thousands | 33.4 |
| March 2025 | 96,516 thousands | 30.0 |
| February 2025 | 99,670 thousands | 23.4 |
| January 2025 | 99,573 thousands | 22.0 |
| December 2024 | 89,136 thousands | 15.9 |
| November 2024 | 94,518 thousands | 16.5 |
| October 2024 | 95,539 thousands | 4.6 |
| September 2024 | 95,168 thousands | 1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38060.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38060.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```