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

All Employees: Private Service Providing — Palm Bay-Melbourne-Titusville, FL (NSA) was up 0.5% year on year in September 2026, compared with 0.5% in August 2026.
The level stood at 176.7 thousands.
Over the past ten years it has ranged from −15.0% (Apr 2020) to 16.4% (Apr 2021), averaging 2.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-37340.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-palm-bay-melbourne-titusville

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 176.7 thousands | 0.5 |
| August 2026 | 176.9 thousands | 0.5 |
| July 2026 | 176.6 thousands | 0.2 |
| June 2026 | 177.3 thousands | 0.5 |
| May 2026 | 178.0 thousands | 0.1 |
| April 2026 | 179.2 thousands | 0.4 |
| March 2026 | 177.8 thousands | 0.2 |
| February 2026 | 177.2 thousands | −0.06 |
| January 2026 | 176.6 thousands | 0.5 |
| December 2025 | 179.0 thousands | 1.1 |
| November 2025 | 179.0 thousands | 1.1 |
| October 2025 | 177.3 thousands | 1.7 |
| September 2025 | 175.9 thousands | 0.06 |
| August 2025 | 176.1 thousands | 0.6 |
| July 2025 | 176.2 thousands | 1.2 |
| June 2025 | 176.5 thousands | 1.0 |
| May 2025 | 177.8 thousands | 1.2 |
| April 2025 | 178.5 thousands | 1.6 |
| March 2025 | 177.5 thousands | 1.5 |
| February 2025 | 177.3 thousands | 1.7 |
| January 2025 | 175.8 thousands | 1.4 |
| December 2024 | 177.0 thousands | 1.1 |
| November 2024 | 177.1 thousands | 1.1 |
| October 2024 | 174.4 thousands | 0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-37340.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-37340.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```