# Unemployment: Wildwood-The Villages, FL Metropolitan Statistical Area (U)

Unemployment: Wildwood-The Villages, FL Metropolitan Statistical Area (U) was up 20.1% year on year in September 2025, compared with 13.8% in August 2025.
The level stood at 2,675.0 thousands.
Over the past ten years it has ranged from −57.0% (May 2021) to 177.2% (May 2020), averaging 3.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-48680.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-wildwood-the-villages-fl-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,675.0 thousands | — |
| August 2026 | 2,784.0 thousands | — |
| July 2026 | 2,757.0 thousands | — |
| June 2026 | 2,773.0 thousands | — |
| May 2026 | 2,659.0 thousands | — |
| April 2026 | 2,808.0 thousands | — |
| March 2026 | 2,749.0 thousands | — |
| February 2026 | 3,130.0 thousands | — |
| January 2026 | 3,221.0 thousands | — |
| December 2025 | 2,665.0 thousands | — |
| November 2025 | 3,031.0 thousands | — |
| September 2025 | 2,655.0 thousands | 20.1 |
| August 2025 | 2,513.0 thousands | 13.8 |
| July 2025 | 2,460.0 thousands | 3.9 |
| June 2025 | 2,332.0 thousands | 18.0 |
| May 2025 | 2,047.0 thousands | 15.0 |
| April 2025 | 2,071.0 thousands | 20.8 |
| March 2025 | 1,935.0 thousands | 12.4 |
| February 2025 | 2,184.0 thousands | 9.9 |
| January 2025 | 2,273.0 thousands | 11.5 |
| December 2024 | 1,845.0 thousands | 8.8 |
| November 2024 | 2,023.0 thousands | 13.1 |
| October 2024 | 2,060.0 thousands | 14.6 |
| September 2024 | 2,211.0 thousands | 9.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-48680.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-48680.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
