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

Labor Force: Deltona-Daytona Beach-Ormond Beach, FL Metropolitan Statistical Area (U) was up 0.04% year on year in September 2025, compared with −0.5% in August 2025.
The level stood at 323,963 thousands.
Over the past ten years it has ranged from −7.6% (Apr 2020) to 9.4% (Apr 2021), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19660.LF.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (440 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/labor-force-deltona-daytona-beach-ormond-beach-fl-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 323,963 thousands | — |
| August 2026 | 323,624 thousands | — |
| July 2026 | 322,806 thousands | — |
| June 2026 | 323,873 thousands | — |
| May 2026 | 324,123 thousands | — |
| April 2026 | 323,293 thousands | — |
| March 2026 | 322,307 thousands | — |
| February 2026 | 323,433 thousands | — |
| January 2026 | 320,638 thousands | — |
| December 2025 | 321,144 thousands | — |
| November 2025 | 322,443 thousands | — |
| September 2025 | 323,590 thousands | 0.04 |
| August 2025 | 322,241 thousands | −0.5 |
| July 2025 | 321,597 thousands | −0.7 |
| June 2025 | 322,226 thousands | −0.07 |
| May 2025 | 321,328 thousands | −0.01 |
| April 2025 | 321,031 thousands | 0.09 |
| March 2025 | 320,810 thousands | −0.4 |
| February 2025 | 320,023 thousands | −0.4 |
| January 2025 | 319,513 thousands | 0.3 |
| December 2024 | 317,967 thousands | 0.3 |
| November 2024 | 318,438 thousands | −0.06 |
| October 2024 | 320,687 thousands | −0.3 |
| September 2024 | 323,453 thousands | 0.4 |

## API

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

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