# Unemployment: Seaford, DE Micropolitan Statistical Area (U)

Unemployment: Seaford, DE Micropolitan Statistical Area (U) was up 43.1% year on year in September 2025, compared with 28.0% in August 2025.
The level stood at 5,062.0 thousands.
That is the highest reading since February 2021.
Over the past ten years it has ranged from −64.7% (May 2021) to 370.3% (May 2020), averaging 7.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42580.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-seaford-de-micropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 5,062.0 thousands | — |
| August 2026 | 5,525.0 thousands | — |
| July 2026 | 5,393.0 thousands | — |
| June 2026 | 5,686.0 thousands | — |
| May 2026 | 4,922.0 thousands | — |
| April 2026 | 5,791.0 thousands | — |
| March 2026 | 6,266.0 thousands | — |
| February 2026 | 6,731.0 thousands | — |
| January 2026 | 6,852.0 thousands | — |
| December 2025 | 6,221.0 thousands | — |
| November 2025 | 6,625.0 thousands | — |
| September 2025 | 5,686.0 thousands | 43.1 |
| August 2025 | 5,822.0 thousands | 28.0 |
| July 2025 | 5,558.0 thousands | 16.5 |
| June 2025 | 5,406.0 thousands | 17.0 |
| May 2025 | 4,941.0 thousands | 19.5 |
| April 2025 | 5,142.0 thousands | 19.1 |
| March 2025 | 5,382.0 thousands | 11.4 |
| February 2025 | 5,755.0 thousands | 13.3 |
| January 2025 | 5,555.0 thousands | 9.1 |
| December 2024 | 4,339.0 thousands | 1.5 |
| November 2024 | 4,229.0 thousands | 2.5 |
| October 2024 | 4,200.0 thousands | −4.7 |
| September 2024 | 3,974.0 thousands | −8.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42580.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42580.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```