# Unemployment: Danville, VA Micropolitan Statistical Area (U)

Unemployment: Danville, VA Micropolitan Statistical Area (U) was up 22.7% year on year in September 2025, compared with 8.9% in August 2025.
The level stood at 2,153.0 thousands.
That is the highest reading since July 2024.
Over the past ten years it has ranged from −66.1% (Apr 2021) to 299.0% (Apr 2020), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19260.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-danville-va-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,153.0 thousands | — |
| August 2026 | 2,148.0 thousands | — |
| July 2026 | 2,423.0 thousands | — |
| June 2026 | 2,299.0 thousands | — |
| May 2026 | 2,094.0 thousands | — |
| April 2026 | 2,180.0 thousands | — |
| March 2026 | 2,289.0 thousands | — |
| February 2026 | 2,322.0 thousands | — |
| January 2026 | 2,450.0 thousands | — |
| December 2025 | 2,080.0 thousands | — |
| November 2025 | 2,331.0 thousands | — |
| September 2025 | 2,230.0 thousands | 22.7 |
| August 2025 | 2,271.0 thousands | 8.9 |
| July 2025 | 2,294.0 thousands | −3.0 |
| June 2025 | 2,135.0 thousands | 7.5 |
| May 2025 | 1,924.0 thousands | 3.9 |
| April 2025 | 1,711.0 thousands | −3.4 |
| March 2025 | 1,819.0 thousands | −1.6 |
| February 2025 | 1,861.0 thousands | −1.5 |
| January 2025 | 1,906.0 thousands | −2.6 |
| December 2024 | 1,646.0 thousands | 6.8 |
| November 2024 | 1,816.0 thousands | 9.6 |
| October 2024 | 1,773.0 thousands | 6.8 |
| September 2024 | 1,818.0 thousands | 7.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19260.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19260.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```