# Unemployment: Faribault-Northfield, MN Micropolitan Statistical Area (U)

Unemployment: Faribault-Northfield, MN Micropolitan Statistical Area (U) was up 32.8% year on year in September 2025, compared with 13.8% in August 2025.
The level stood at 1,554.0 thousands.
Over the past ten years it has ranged from −64.4% (May 2021) to 224.4% (May 2020), averaging 5.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-22060.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-faribault-northfield-mn-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,554.0 thousands | — |
| August 2026 | 1,765.0 thousands | — |
| July 2026 | 1,628.0 thousands | — |
| June 2026 | 1,687.0 thousands | — |
| May 2026 | 1,435.0 thousands | — |
| April 2026 | 1,437.0 thousands | — |
| March 2026 | 1,739.0 thousands | — |
| February 2026 | 1,931.0 thousands | — |
| January 2026 | 1,965.0 thousands | — |
| December 2025 | 1,617.0 thousands | — |
| November 2025 | 1,428.0 thousands | — |
| September 2025 | 1,158.0 thousands | 32.8 |
| August 2025 | 1,455.0 thousands | 13.8 |
| July 2025 | 1,478.0 thousands | 17.2 |
| June 2025 | 1,512.0 thousands | 10.4 |
| May 2025 | 1,212.0 thousands | 26.5 |
| April 2025 | 1,307.0 thousands | 30.7 |
| March 2025 | 1,541.0 thousands | 20.7 |
| February 2025 | 1,504.0 thousands | 12.0 |
| January 2025 | 1,440.0 thousands | 14.2 |
| December 2024 | 1,101.0 thousands | 15.4 |
| November 2024 | 923.0 thousands | 38.0 |
| October 2024 | 821.0 thousands | 11.5 |
| September 2024 | 872.0 thousands | 15.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-22060.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-22060.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```