# Unemployment: Rocky Mount, NC Metropolitan Statistical Area (U)

Unemployment: Rocky Mount, NC Metropolitan Statistical Area (U) was up 12.9% year on year in September 2025, compared with 3.6% in August 2025.
The level stood at 2,666.0 thousands.
That is the highest reading since March 2021.
Over the past ten years it has ranged from −46.3% (Apr 2021) to 169.9% (Apr 2020), averaging −1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-40580.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-rocky-mount-nc-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,666.0 thousands | — |
| August 2026 | 3,000.0 thousands | — |
| July 2026 | 3,031.0 thousands | — |
| June 2026 | 2,921.0 thousands | — |
| May 2026 | 2,904.0 thousands | — |
| April 2026 | 2,883.0 thousands | — |
| March 2026 | 2,976.0 thousands | — |
| February 2026 | 3,342.0 thousands | — |
| January 2026 | 3,561.0 thousands | — |
| December 2025 | 2,998.0 thousands | — |
| November 2025 | 3,285.0 thousands | — |
| September 2025 | 3,195.0 thousands | 12.9 |
| August 2025 | 3,527.0 thousands | 3.6 |
| July 2025 | 3,603.0 thousands | 2.4 |
| June 2025 | 3,339.0 thousands | 3.3 |
| May 2025 | 3,137.0 thousands | 9.3 |
| April 2025 | 2,890.0 thousands | 7.4 |
| March 2025 | 3,083.0 thousands | 3.2 |
| February 2025 | 3,265.0 thousands | 1.2 |
| January 2025 | 3,174.0 thousands | 0.2 |
| December 2024 | 2,730.0 thousands | −2.6 |
| November 2024 | 2,966.0 thousands | 3.0 |
| October 2024 | 2,753.0 thousands | −3.3 |
| September 2024 | 2,830.0 thousands | 2.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-40580.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-40580.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```