# Unemployment: Kingsport-Bristol, TN-VA Metropolitan Statistical Area (U)

Unemployment: Kingsport-Bristol, TN-VA Metropolitan Statistical Area (U) was up 5.5% year on year in September 2025, compared with −1.7% in August 2025.
The level stood at 4,792.0 thousands.
Over the past ten years it has ranged from −67.7% (Apr 2021) to 324.7% (Apr 2020), averaging 1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-28700.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-kingsport-bristol-tn-va-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4,792.0 thousands | — |
| August 2026 | 4,992.0 thousands | — |
| July 2026 | 5,048.0 thousands | — |
| June 2026 | 5,455.0 thousands | — |
| May 2026 | 4,602.0 thousands | — |
| April 2026 | 4,599.0 thousands | — |
| March 2026 | 4,794.0 thousands | — |
| February 2026 | 5,389.0 thousands | — |
| January 2026 | 5,097.0 thousands | — |
| December 2025 | 4,820.0 thousands | — |
| November 2025 | 5,409.0 thousands | — |
| September 2025 | 5,028.0 thousands | 5.5 |
| August 2025 | 5,022.0 thousands | −1.7 |
| July 2025 | 5,440.0 thousands | 0.4 |
| June 2025 | 5,509.0 thousands | 1.9 |
| May 2025 | 4,739.0 thousands | 9.9 |
| April 2025 | 4,392.0 thousands | 11.8 |
| March 2025 | 4,829.0 thousands | 12.8 |
| February 2025 | 4,823.0 thousands | 9.8 |
| January 2025 | 5,180.0 thousands | 12.3 |
| December 2024 | 4,560.0 thousands | 12.8 |
| November 2024 | 4,956.0 thousands | 15.7 |
| October 2024 | 4,839.0 thousands | 6.6 |
| September 2024 | 4,766.0 thousands | 4.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-28700.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-28700.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```