# Unemployment: Tupelo, MS Micropolitan Statistical Area (U)

Unemployment: Tupelo, MS Micropolitan Statistical Area (U) was up 10.2% year on year in September 2025, compared with 13.7% in August 2025.
The level stood at 1,769.0 thousands.
That is the lowest reading since August 2024.
Over the past ten years it has ranged from −76.0% (Apr 2021) to 370.5% (Apr 2020), averaging 0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-46180.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-tupelo-ms-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,769.0 thousands | — |
| August 2026 | 1,682.0 thousands | — |
| July 2026 | 2,054.0 thousands | — |
| June 2026 | 2,206.0 thousands | — |
| May 2026 | 1,921.0 thousands | — |
| April 2026 | 1,610.0 thousands | — |
| March 2026 | 2,067.0 thousands | — |
| February 2026 | 2,299.0 thousands | — |
| January 2026 | 1,891.0 thousands | — |
| December 2025 | 1,547.0 thousands | — |
| November 2025 | 1,858.0 thousands | — |
| September 2025 | 1,972.0 thousands | 10.2 |
| August 2025 | 2,261.0 thousands | 13.7 |
| July 2025 | 2,527.0 thousands | 19.5 |
| June 2025 | 2,451.0 thousands | 16.4 |
| May 2025 | 2,036.0 thousands | 34.8 |
| April 2025 | 1,777.0 thousands | 72.0 |
| March 2025 | 2,042.0 thousands | 53.4 |
| February 2025 | 2,152.0 thousands | 49.2 |
| January 2025 | 2,055.0 thousands | 30.7 |
| December 2024 | 1,863.0 thousands | 45.4 |
| November 2024 | 1,877.0 thousands | 44.8 |
| October 2024 | 1,872.0 thousands | 29.1 |
| September 2024 | 1,790.0 thousands | 13.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-46180.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-46180.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
