# Unemployment: Goldsboro, NC Metropolitan Statistical Area (U)

Unemployment: Goldsboro, NC Metropolitan Statistical Area (U) was up 11.0% year on year in September 2025, compared with 3.1% in August 2025.
The level stood at 1,618.0 thousands.
That is the highest reading since July 2024.
Over the past ten years it has ranged from −47.4% (Apr 2021) to 151.8% (Apr 2020), averaging −2.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-24140.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-goldsboro-nc-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,618.0 thousands | — |
| August 2026 | 1,866.0 thousands | — |
| July 2026 | 1,945.0 thousands | — |
| June 2026 | 1,808.0 thousands | — |
| May 2026 | 1,782.0 thousands | — |
| April 2026 | 1,756.0 thousands | — |
| March 2026 | 1,786.0 thousands | — |
| February 2026 | 1,977.0 thousands | — |
| January 2026 | 2,095.0 thousands | — |
| December 2025 | 1,772.0 thousands | — |
| November 2025 | 1,968.0 thousands | — |
| September 2025 | 1,912.0 thousands | 11.0 |
| August 2025 | 2,157.0 thousands | 3.1 |
| July 2025 | 2,063.0 thousands | −4.5 |
| June 2025 | 2,015.0 thousands | −1.0 |
| May 2025 | 1,886.0 thousands | 2.4 |
| April 2025 | 1,752.0 thousands | 3.7 |
| March 2025 | 1,917.0 thousands | 2.8 |
| February 2025 | 1,935.0 thousands | 1.6 |
| January 2025 | 1,935.0 thousands | −0.9 |
| December 2024 | 1,689.0 thousands | −1.3 |
| November 2024 | 1,847.0 thousands | 1.9 |
| October 2024 | 1,711.0 thousands | −7.5 |
| September 2024 | 1,722.0 thousands | −2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-24140.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-24140.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```