# Unemployment: Hermiston-Pendleton, OR Micropolitan Statistical Area (U)

Unemployment: Hermiston-Pendleton, OR Micropolitan Statistical Area (U) was up 24.0% year on year in September 2025, compared with 18.5% in August 2025.
The level stood at 1,745.0 thousands.
Over the past ten years it has ranged from −51.5% (Apr 2021) to 180.6% (Apr 2020), averaging 2.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25840.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-hermiston-pendleton-or-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,745.0 thousands | — |
| August 2026 | 2,227.0 thousands | — |
| July 2026 | 2,378.0 thousands | — |
| June 2026 | 2,337.0 thousands | — |
| May 2026 | 2,039.0 thousands | — |
| April 2026 | 1,955.0 thousands | — |
| March 2026 | 2,258.0 thousands | — |
| February 2026 | 2,566.0 thousands | — |
| January 2026 | 2,653.0 thousands | — |
| December 2025 | 2,335.0 thousands | — |
| November 2025 | 2,109.0 thousands | — |
| September 2025 | 2,259.0 thousands | 24.0 |
| August 2025 | 2,373.0 thousands | 18.5 |
| July 2025 | 2,592.0 thousands | 18.7 |
| June 2025 | 2,319.0 thousands | 26.4 |
| May 2025 | 2,027.0 thousands | 29.6 |
| April 2025 | 2,250.0 thousands | 39.8 |
| March 2025 | 2,365.0 thousands | 18.2 |
| February 2025 | 3,201.0 thousands | 32.4 |
| January 2025 | 2,663.0 thousands | 12.0 |
| December 2024 | 2,146.0 thousands | 13.2 |
| November 2024 | 1,822.0 thousands | 16.6 |
| October 2024 | 1,737.0 thousands | 10.3 |
| September 2024 | 1,822.0 thousands | 15.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-25840.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-25840.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```