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

Employment: Deltona-Daytona Beach-Ormond Beach, FL Metropolitan Statistical Area (U) was down 0.9% year on year in September 2025, compared with −1.1% in August 2025.
The level stood at 307,984 thousands.
Over the past ten years it has ranged from −18.0% (Apr 2020) to 21.1% (Apr 2021), averaging 1.6%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 307,984 thousands | — |
| August 2026 | 306,558 thousands | — |
| July 2026 | 305,445 thousands | — |
| June 2026 | 306,750 thousands | — |
| May 2026 | 307,434 thousands | — |
| April 2026 | 306,208 thousands | — |
| March 2026 | 305,796 thousands | — |
| February 2026 | 305,449 thousands | — |
| January 2026 | 301,948 thousands | — |
| December 2025 | 304,401 thousands | — |
| November 2025 | 304,160 thousands | — |
| September 2025 | 307,671 thousands | −0.9 |
| August 2025 | 306,373 thousands | −1.1 |
| July 2025 | 306,213 thousands | −1.2 |
| June 2025 | 307,613 thousands | −0.5 |
| May 2025 | 308,278 thousands | −0.6 |
| April 2025 | 308,629 thousands | −0.5 |
| March 2025 | 308,227 thousands | −0.9 |
| February 2025 | 307,064 thousands | −0.9 |
| January 2025 | 305,947 thousands | −0.1 |
| December 2024 | 306,108 thousands | −0.08 |
| November 2024 | 305,346 thousands | −0.6 |
| October 2024 | 307,783 thousands | −0.7 |
| September 2024 | 310,371 thousands | 0.04 |

## API

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

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