# All Employees: Service-Providing — Palm Bay-Melbourne-Titusville, FL (NSA)

All Employees: Service-Providing — Palm Bay-Melbourne-Titusville, FL (NSA) was up 0.2% year on year in September 2026, compared with 0.2% in August 2026.
The level stood at 206.3 thousands.
Over the past ten years it has ranged from −13.0% (Apr 2020) to 13.5% (Apr 2021), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37340.PAYEMS.M.NSA.IND-07000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-service-providing-palm-bay-melbourne-titusville-fl-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 206.3 thousands | 0.2 |
| August 2026 | 206.2 thousands | 0.2 |
| July 2026 | 204.6 thousands | 0.0 |
| June 2026 | 205.0 thousands | −0.05 |
| May 2026 | 207.1 thousands | −0.3 |
| April 2026 | 208.3 thousands | −0.2 |
| March 2026 | 206.9 thousands | −0.6 |
| February 2026 | 206.4 thousands | −0.7 |
| January 2026 | 205.7 thousands | −0.1 |
| December 2025 | 208.6 thousands | 0.6 |
| November 2025 | 208.8 thousands | 0.7 |
| October 2025 | 207.1 thousands | 1.3 |
| September 2025 | 205.9 thousands | 0.2 |
| August 2025 | 205.7 thousands | 0.6 |
| July 2025 | 204.6 thousands | 1.1 |
| June 2025 | 205.1 thousands | 0.9 |
| May 2025 | 207.8 thousands | 1.2 |
| April 2025 | 208.7 thousands | 1.6 |
| March 2025 | 208.1 thousands | 1.7 |
| February 2025 | 207.9 thousands | 2.0 |
| January 2025 | 206.0 thousands | 1.7 |
| December 2024 | 207.3 thousands | 1.4 |
| November 2024 | 207.4 thousands | 1.5 |
| October 2024 | 204.4 thousands | 0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37340.PAYEMS.M.NSA.IND-07000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37340.PAYEMS.M.NSA.IND-07000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```