# Unemployment: La Crosse-Onalaska, WI-MN Metropolitan Statistical Area (U)

Unemployment: La Crosse-Onalaska, WI-MN Metropolitan Statistical Area (U) was up 7.4% year on year in September 2025, compared with 6.5% in August 2025.
The level stood at 2,456.0 thousands.
Over the past ten years it has ranged from −70.9% (Apr 2021) to 305.6% (Apr 2020), averaging 2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-29100.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-la-crosse-onalaska-wi-mn-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,456.0 thousands | — |
| August 2026 | 2,708.0 thousands | — |
| July 2026 | 2,836.0 thousands | — |
| June 2026 | 2,951.0 thousands | — |
| May 2026 | 2,434.0 thousands | — |
| April 2026 | 2,701.0 thousands | — |
| March 2026 | 3,348.0 thousands | — |
| February 2026 | 3,701.0 thousands | — |
| January 2026 | 3,400.0 thousands | — |
| December 2025 | 2,668.0 thousands | — |
| November 2025 | 2,401.0 thousands | — |
| September 2025 | 2,282.0 thousands | 7.4 |
| August 2025 | 2,456.0 thousands | 6.5 |
| July 2025 | 2,647.0 thousands | 1.0 |
| June 2025 | 2,678.0 thousands | −4.9 |
| May 2025 | 2,450.0 thousands | 6.9 |
| April 2025 | 2,457.0 thousands | 7.2 |
| March 2025 | 2,900.0 thousands | 4.8 |
| February 2025 | 3,069.0 thousands | 5.4 |
| January 2025 | 2,903.0 thousands | 14.7 |
| December 2024 | 2,334.0 thousands | 17.6 |
| November 2024 | 2,105.0 thousands | 16.2 |
| October 2024 | 2,004.0 thousands | 1.6 |
| September 2024 | 2,125.0 thousands | −1.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-29100.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-29100.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```