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

Unemployment: Columbus, MS Micropolitan Statistical Area (U) was up 16.4% year on year in September 2025, compared with 18.1% in August 2025.
The level stood at 1,065.0 thousands.
That is the lowest reading since August 2024.
Over the past ten years it has ranged from −55.1% (Apr 2021) to 185.4% (Apr 2020), averaging −2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-18060.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-columbus-ms-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,065.0 thousands | — |
| August 2026 | 1,063.0 thousands | — |
| July 2026 | 1,293.0 thousands | — |
| June 2026 | 1,410.0 thousands | — |
| May 2026 | 1,196.0 thousands | — |
| April 2026 | 1,106.0 thousands | — |
| March 2026 | 1,222.0 thousands | — |
| February 2026 | 1,348.0 thousands | — |
| January 2026 | 1,183.0 thousands | — |
| December 2025 | 1,021.0 thousands | — |
| November 2025 | 1,173.0 thousands | — |
| September 2025 | 1,219.0 thousands | 16.4 |
| August 2025 | 1,341.0 thousands | 18.1 |
| July 2025 | 1,419.0 thousands | 18.9 |
| June 2025 | 1,477.0 thousands | 23.7 |
| May 2025 | 1,194.0 thousands | 32.8 |
| April 2025 | 1,029.0 thousands | 63.6 |
| March 2025 | 1,136.0 thousands | 47.3 |
| February 2025 | 1,239.0 thousands | 46.6 |
| January 2025 | 1,192.0 thousands | 23.9 |
| December 2024 | 1,083.0 thousands | 39.9 |
| November 2024 | 1,073.0 thousands | 37.6 |
| October 2024 | 1,051.0 thousands | 30.6 |
| September 2024 | 1,047.0 thousands | 18.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-18060.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-18060.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
