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

Unemployment: Laurel, MS Micropolitan Statistical Area (U) was up 6.4% year on year in September 2025, compared with 11.5% in August 2025.
The level stood at 995.0 thousands.
That is the lowest reading since August 2024.
Over the past ten years it has ranged from −42.5% (Dec 2021) to 78.0% (Apr 2020), averaging −2.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-29860.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-laurel-ms-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 995.0 thousands | — |
| August 2026 | 971.0 thousands | — |
| July 2026 | 1,151.0 thousands | — |
| June 2026 | 1,273.0 thousands | — |
| May 2026 | 1,076.0 thousands | — |
| April 2026 | 928.0 thousands | — |
| March 2026 | 1,240.0 thousands | — |
| February 2026 | 1,380.0 thousands | — |
| January 2026 | 1,166.0 thousands | — |
| December 2025 | 960.0 thousands | — |
| November 2025 | 1,113.0 thousands | — |
| September 2025 | 1,133.0 thousands | 6.4 |
| August 2025 | 1,321.0 thousands | 11.5 |
| July 2025 | 1,423.0 thousands | 16.2 |
| June 2025 | 1,490.0 thousands | 17.4 |
| May 2025 | 1,186.0 thousands | 29.1 |
| April 2025 | 1,037.0 thousands | 60.5 |
| March 2025 | 1,217.0 thousands | 46.3 |
| February 2025 | 1,316.0 thousands | 52.7 |
| January 2025 | 1,253.0 thousands | 30.4 |
| December 2024 | 1,158.0 thousands | 50.2 |
| November 2024 | 1,125.0 thousands | 46.1 |
| October 2024 | 1,088.0 thousands | 29.2 |
| September 2024 | 1,065.0 thousands | 15.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-29860.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-29860.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```