# Unemployment: Sebring, FL Metropolitan Statistical Area (U)

Unemployment: Sebring, FL Metropolitan Statistical Area (U) was up 18.9% year on year in September 2025, compared with 13.4% in August 2025.
The level stood at 2,302.0 thousands.
That is the highest reading since July 2024.
Over the past ten years it has ranged from −46.7% (May 2021) to 150.5% (May 2020), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42700.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-sebring-fl-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,302.0 thousands | — |
| August 2026 | 2,477.0 thousands | — |
| July 2026 | 2,474.0 thousands | — |
| June 2026 | 2,423.0 thousands | — |
| May 2026 | 2,279.0 thousands | — |
| April 2026 | 2,351.0 thousands | — |
| March 2026 | 2,261.0 thousands | — |
| February 2026 | 2,533.0 thousands | — |
| January 2026 | 2,596.0 thousands | — |
| December 2025 | 2,254.0 thousands | — |
| November 2025 | 2,592.0 thousands | — |
| September 2025 | 2,246.0 thousands | 18.9 |
| August 2025 | 2,270.0 thousands | 13.4 |
| July 2025 | 2,198.0 thousands | 6.6 |
| June 2025 | 2,057.0 thousands | 6.9 |
| May 2025 | 1,833.0 thousands | 15.3 |
| April 2025 | 1,701.0 thousands | 13.2 |
| March 2025 | 1,756.0 thousands | 15.3 |
| February 2025 | 1,877.0 thousands | 13.3 |
| January 2025 | 1,958.0 thousands | 15.7 |
| December 2024 | 1,702.0 thousands | 13.9 |
| November 2024 | 1,825.0 thousands | 13.8 |
| October 2024 | 1,829.0 thousands | 11.3 |
| September 2024 | 1,889.0 thousands | 8.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42700.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42700.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```