# Unemployment: Morehead City, NC Micropolitan Statistical Area (U)

Unemployment: Morehead City, NC Micropolitan Statistical Area (U) was up 15.7% year on year in September 2025, compared with 4.2% in August 2025.
The level stood at 897.0 thousands.
That is the highest reading since February 2021.
Over the past ten years it has ranged from −66.5% (Apr 2021) to 196.2% (Apr 2020), averaging −1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-33980.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-morehead-city-nc-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 897.0 thousands | — |
| August 2026 | 996.0 thousands | — |
| July 2026 | 1,072.0 thousands | — |
| June 2026 | 1,027.0 thousands | — |
| May 2026 | 1,038.0 thousands | — |
| April 2026 | 1,014.0 thousands | — |
| March 2026 | 1,047.0 thousands | — |
| February 2026 | 1,198.0 thousands | — |
| January 2026 | 1,257.0 thousands | — |
| December 2025 | 1,031.0 thousands | — |
| November 2025 | 1,179.0 thousands | — |
| September 2025 | 1,088.0 thousands | 15.7 |
| August 2025 | 1,229.0 thousands | 4.2 |
| July 2025 | 1,157.0 thousands | 1.3 |
| June 2025 | 1,154.0 thousands | −0.4 |
| May 2025 | 1,129.0 thousands | 8.0 |
| April 2025 | 1,019.0 thousands | 5.8 |
| March 2025 | 1,170.0 thousands | 7.2 |
| February 2025 | 1,227.0 thousands | 2.4 |
| January 2025 | 1,221.0 thousands | 4.3 |
| December 2024 | 988.0 thousands | 4.0 |
| November 2024 | 1,087.0 thousands | 6.6 |
| October 2024 | 979.0 thousands | −6.1 |
| September 2024 | 940.0 thousands | −2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-33980.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-33980.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```