# Unemployment: New Bern, NC Micropolitan Statistical Area (U)

Unemployment: New Bern, NC Micropolitan Statistical Area (U) was up 10.9% year on year in September 2025, compared with 1.9% in August 2025.
The level stood at 1,601.0 thousands.
That is the highest reading since March 2021.
Over the past ten years it has ranged from −55.3% (Apr 2021) to 184.3% (Apr 2020), averaging −1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35100.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-new-bern-nc-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,601.0 thousands | — |
| August 2026 | 1,800.0 thousands | — |
| July 2026 | 1,859.0 thousands | — |
| June 2026 | 1,767.0 thousands | — |
| May 2026 | 1,793.0 thousands | — |
| April 2026 | 1,761.0 thousands | — |
| March 2026 | 1,772.0 thousands | — |
| February 2026 | 1,946.0 thousands | — |
| January 2026 | 2,025.0 thousands | — |
| December 2025 | 1,732.0 thousands | — |
| November 2025 | 2,049.0 thousands | — |
| September 2025 | 1,858.0 thousands | 10.9 |
| August 2025 | 2,114.0 thousands | 1.9 |
| July 2025 | 2,035.0 thousands | −1.5 |
| June 2025 | 2,004.0 thousands | −1.1 |
| May 2025 | 1,910.0 thousands | 6.2 |
| April 2025 | 1,748.0 thousands | 8.0 |
| March 2025 | 1,916.0 thousands | 4.7 |
| February 2025 | 2,013.0 thousands | 2.9 |
| January 2025 | 2,010.0 thousands | 5.0 |
| December 2024 | 1,692.0 thousands | 2.5 |
| November 2024 | 1,920.0 thousands | 8.1 |
| October 2024 | 1,735.0 thousands | −4.2 |
| September 2024 | 1,676.0 thousands | −0.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35100.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35100.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```