# Unemployment: Staunton-Stuarts Draft, VA Metropolitan Statistical Area (U)

Unemployment: Staunton-Stuarts Draft, VA Metropolitan Statistical Area (U) was up 4.7% year on year in September 2025, compared with −0.9% in August 2025.
The level stood at 2,011.0 thousands.
Over the past ten years it has ranged from −65.7% (Apr 2021) to 339.3% (Apr 2020), averaging 4.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-44420.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-staunton-stuarts-draft-va-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,011.0 thousands | — |
| August 2026 | 1,897.0 thousands | — |
| July 2026 | 1,992.0 thousands | — |
| June 2026 | 2,192.0 thousands | — |
| May 2026 | 1,981.0 thousands | — |
| April 2026 | 1,879.0 thousands | — |
| March 2026 | 2,093.0 thousands | — |
| February 2026 | 2,164.0 thousands | — |
| January 2026 | 2,084.0 thousands | — |
| December 2025 | 1,869.0 thousands | — |
| November 2025 | 2,231.0 thousands | — |
| September 2025 | 1,809.0 thousands | 4.7 |
| August 2025 | 1,949.0 thousands | −0.9 |
| July 2025 | 1,892.0 thousands | −4.8 |
| June 2025 | 2,019.0 thousands | 7.9 |
| May 2025 | 1,914.0 thousands | 14.3 |
| April 2025 | 1,781.0 thousands | 23.6 |
| March 2025 | 1,819.0 thousands | 22.7 |
| February 2025 | 1,858.0 thousands | 11.1 |
| January 2025 | 1,886.0 thousands | 16.9 |
| December 2024 | 1,537.0 thousands | 15.7 |
| November 2024 | 1,805.0 thousands | 18.4 |
| October 2024 | 1,743.0 thousands | 11.1 |
| September 2024 | 1,727.0 thousands | 10.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-44420.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-44420.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```