# Unemployment: Walla Walla, WA Metropolitan Statistical Area (U)

Unemployment: Walla Walla, WA Metropolitan Statistical Area (U) was up 4.7% year on year in September 2025, compared with −2.8% in August 2025.
The level stood at 947.0 thousands.
That is the highest reading since July 2024.
Over the past ten years it has ranged from −65.0% (Apr 2021) to 142.8% (Apr 2020), averaging −1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47460.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-walla-walla-wa-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 947.0 thousands | — |
| August 2026 | 1,224.0 thousands | — |
| July 2026 | 1,043.0 thousands | — |
| June 2026 | 1,103.0 thousands | — |
| May 2026 | 1,178.0 thousands | — |
| April 2026 | 1,292.0 thousands | — |
| March 2026 | 1,291.0 thousands | — |
| February 2026 | 1,453.0 thousands | — |
| January 2026 | 1,424.0 thousands | — |
| December 2025 | 1,408.0 thousands | — |
| November 2025 | 1,268.0 thousands | — |
| September 2025 | 1,006.0 thousands | 4.7 |
| August 2025 | 1,216.0 thousands | −2.8 |
| July 2025 | 1,238.0 thousands | −4.4 |
| June 2025 | 956.0 thousands | −8.9 |
| May 2025 | 1,015.0 thousands | −11.6 |
| April 2025 | 984.0 thousands | −6.2 |
| March 2025 | 1,169.0 thousands | −13.7 |
| February 2025 | 1,507.0 thousands | −7.7 |
| January 2025 | 1,324.0 thousands | −10.3 |
| December 2024 | 1,204.0 thousands | −20.3 |
| November 2024 | 1,072.0 thousands | −5.9 |
| October 2024 | 1,031.0 thousands | −11.5 |
| September 2024 | 961.0 thousands | −4.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47460.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47460.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```