# Unemployment: Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area (U)

Unemployment: Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area (U) was up 31.8% year on year in September 2025, compared with 19.4% in August 2025.
The level stood at 93,242 thousands.
Over the past ten years it has ranged from −68.7% (May 2021) to 319.3% (May 2020), averaging 9.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-33460.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-minneapolis-st-paul-bloomington-mn-wi-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 93,242 thousands | — |
| August 2026 | 96,479 thousands | — |
| July 2026 | 92,884 thousands | — |
| June 2026 | 91,638 thousands | — |
| May 2026 | 81,580 thousands | — |
| April 2026 | 78,157 thousands | — |
| March 2026 | 93,218 thousands | — |
| February 2026 | 100,086 thousands | — |
| January 2026 | 99,046 thousands | — |
| December 2025 | 82,662 thousands | — |
| November 2025 | 82,517 thousands | — |
| September 2025 | 75,587 thousands | 31.8 |
| August 2025 | 83,102 thousands | 19.4 |
| July 2025 | 81,246 thousands | 14.8 |
| June 2025 | 81,207 thousands | 13.1 |
| May 2025 | 71,957 thousands | 23.4 |
| April 2025 | 68,902 thousands | 22.8 |
| March 2025 | 78,133 thousands | 20.7 |
| February 2025 | 77,959 thousands | 14.4 |
| January 2025 | 73,096 thousands | 16.0 |
| December 2024 | 57,353 thousands | 16.6 |
| November 2024 | 55,795 thousands | 39.7 |
| October 2024 | 54,325 thousands | 14.0 |
| September 2024 | 57,342 thousands | 14.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-33460.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-33460.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```