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

Employment: La Crosse-Onalaska, WI-MN Metropolitan Statistical Area (U) was down 1.7% year on year in September 2025, compared with −1.4% in August 2025.
The level stood at 89,788 thousands.
That is the lowest reading since February 2021.
Over the past ten years it has ranged from −12.9% (Apr 2020) to 13.8% (Apr 2021), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-29100.EMP.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (440 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/employment-la-crosse-onalaska-wi-mn-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 89,788 thousands | — |
| August 2026 | 88,347 thousands | — |
| July 2026 | 88,399 thousands | — |
| June 2026 | 88,176 thousands | — |
| May 2026 | 88,304 thousands | — |
| April 2026 | 88,250 thousands | — |
| March 2026 | 87,881 thousands | — |
| February 2026 | 87,773 thousands | — |
| January 2026 | 86,830 thousands | — |
| December 2025 | 88,668 thousands | — |
| November 2025 | 88,954 thousands | — |
| September 2025 | 87,337 thousands | −1.7 |
| August 2025 | 86,025 thousands | −1.4 |
| July 2025 | 86,526 thousands | −0.6 |
| June 2025 | 87,039 thousands | 0.3 |
| May 2025 | 87,083 thousands | 0.5 |
| April 2025 | 88,279 thousands | 0.5 |
| March 2025 | 87,841 thousands | 0.4 |
| February 2025 | 87,643 thousands | 0.8 |
| January 2025 | 86,283 thousands | 0.9 |
| December 2024 | 88,164 thousands | 0.4 |
| November 2024 | 88,923 thousands | 0.2 |
| October 2024 | 89,042 thousands | 0.5 |
| September 2024 | 88,881 thousands | 0.9 |

## API

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

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