# Unemployment: Bend, OR Metropolitan Statistical Area (U)

Unemployment: Bend, OR Metropolitan Statistical Area (U) was up 23.0% year on year in September 2025, compared with 14.8% in August 2025.
The level stood at 5,484.0 thousands.
That is the highest reading since April 2024.
Over the past ten years it has ranged from −59.4% (Apr 2021) to 297.8% (Apr 2020), averaging 7.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-13460.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-bend-or-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 5,484.0 thousands | — |
| August 2026 | 6,432.0 thousands | — |
| July 2026 | 6,717.0 thousands | — |
| June 2026 | 6,613.0 thousands | — |
| May 2026 | 6,155.0 thousands | — |
| April 2026 | 6,089.0 thousands | — |
| March 2026 | 7,139.0 thousands | — |
| February 2026 | 7,716.0 thousands | — |
| January 2026 | 7,977.0 thousands | — |
| December 2025 | 6,781.0 thousands | — |
| November 2025 | 6,599.0 thousands | — |
| September 2025 | 6,624.0 thousands | 23.0 |
| August 2025 | 6,785.0 thousands | 14.8 |
| July 2025 | 6,979.0 thousands | 12.4 |
| June 2025 | 6,322.0 thousands | 16.6 |
| May 2025 | 6,118.0 thousands | 22.3 |
| April 2025 | 5,802.0 thousands | 13.7 |
| March 2025 | 7,156.0 thousands | 12.9 |
| February 2025 | 7,396.0 thousands | 9.3 |
| January 2025 | 7,550.0 thousands | 9.0 |
| December 2024 | 6,119.0 thousands | 10.0 |
| November 2024 | 5,605.0 thousands | 14.6 |
| October 2024 | 5,213.0 thousands | 10.3 |
| September 2024 | 5,385.0 thousands | 9.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-13460.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-13460.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```