# Unemployment: Deltona-Daytona Beach-Ormond Beach, FL Metropolitan Statistical Area (U)

Unemployment: Deltona-Daytona Beach-Ormond Beach, FL Metropolitan Statistical Area (U) was up 21.7% year on year in September 2025, compared with 14.0% in August 2025.
The level stood at 15,979 thousands.
That is the highest reading since July 2024.
Over the past ten years it has ranged from −64.6% (May 2021) to 300.1% (May 2020), averaging 5.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19660.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-deltona-daytona-beach-ormond-beach-fl-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 15,979 thousands | — |
| August 2026 | 17,066 thousands | — |
| July 2026 | 17,361 thousands | — |
| June 2026 | 17,123 thousands | — |
| May 2026 | 16,689 thousands | — |
| April 2026 | 17,085 thousands | — |
| March 2026 | 16,511 thousands | — |
| February 2026 | 17,984 thousands | — |
| January 2026 | 18,690 thousands | — |
| December 2025 | 16,743 thousands | — |
| November 2025 | 18,283 thousands | — |
| September 2025 | 15,919 thousands | 21.7 |
| August 2025 | 15,868 thousands | 14.0 |
| July 2025 | 15,384 thousands | 10.2 |
| June 2025 | 14,613 thousands | 10.6 |
| May 2025 | 13,050 thousands | 15.5 |
| April 2025 | 12,402 thousands | 17.7 |
| March 2025 | 12,583 thousands | 13.4 |
| February 2025 | 12,959 thousands | 12.9 |
| January 2025 | 13,566 thousands | 12.7 |
| December 2024 | 11,859 thousands | 10.1 |
| November 2024 | 13,092 thousands | 15.3 |
| October 2024 | 12,904 thousands | 9.3 |
| September 2024 | 13,082 thousands | 10.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19660.UNEMPLVL.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19660.UNEMPLVL.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```