# All Employees: Government — Deltona-Daytona Beach-Ormond Beach, FL (NSA)

All Employees: Government — Deltona-Daytona Beach-Ormond Beach, FL (NSA) was up 1.1% year on year in September 2026, compared with 1.1% in August 2026.
The level stood at 27.50 thousands.
Over the past ten years it has ranged from −4.9% (Mar 2021) to 8.2% (Feb 2020), averaging 1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19660.PAYEMS.M.NSA.IND-90000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-government-deltona-daytona-beach-ormond-beach-fl-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 27.50 thousands | 1.1 |
| August 2026 | 27.50 thousands | 1.1 |
| July 2026 | 25.80 thousands | 0.8 |
| June 2026 | 25.70 thousands | 0.4 |
| May 2026 | 27.80 thousands | 0.4 |
| April 2026 | 27.90 thousands | 0.0 |
| March 2026 | 28.00 thousands | 0.0 |
| February 2026 | 27.90 thousands | 0.4 |
| January 2026 | 27.70 thousands | 0.0 |
| December 2025 | 27.50 thousands | −0.4 |
| November 2025 | 27.60 thousands | 0.4 |
| October 2025 | 27.50 thousands | 0.4 |
| September 2025 | 27.20 thousands | 0.0 |
| August 2025 | 27.20 thousands | 0.0 |
| July 2025 | 25.60 thousands | 0.0 |
| June 2025 | 25.60 thousands | 0.0 |
| May 2025 | 27.70 thousands | −0.4 |
| April 2025 | 27.90 thousands | 0.4 |
| March 2025 | 28.00 thousands | 0.7 |
| February 2025 | 27.80 thousands | 0.7 |
| January 2025 | 27.70 thousands | 0.7 |
| December 2024 | 27.60 thousands | 0.7 |
| November 2024 | 27.50 thousands | 0.4 |
| October 2024 | 27.40 thousands | 0.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19660.PAYEMS.M.NSA.IND-90000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19660.PAYEMS.M.NSA.IND-90000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```