# All Employees: Professional, Scientific, and Technical Services — Orlando-Kissimmee-Sanford, FL (NSA)

All Employees: Professional, Scientific, and Technical Services — Orlando-Kissimmee-Sanford, FL (NSA) was up 7.0% year on year in September 2026, compared with 6.6% in August 2026.
The level stood at 125.8 thousands.
Over the past ten years it has ranged from −2.6% (Apr 2020) to 12.5% (Sep 2022), averaging 5.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-36740.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-orlando

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 125.8 thousands | 7.0 |
| August 2026 | 126.2 thousands | 6.6 |
| July 2026 | 126.6 thousands | 7.1 |
| June 2026 | 125.9 thousands | 6.9 |
| May 2026 | 125.2 thousands | 5.6 |
| April 2026 | 124.9 thousands | 4.9 |
| March 2026 | 122.0 thousands | 2.7 |
| February 2026 | 120.8 thousands | 1.4 |
| January 2026 | 121.1 thousands | 2.1 |
| December 2025 | 120.3 thousands | 1.5 |
| November 2025 | 119.0 thousands | 0.3 |
| October 2025 | 119.7 thousands | 1.6 |
| September 2025 | 117.6 thousands | 0.5 |
| August 2025 | 118.4 thousands | 1.3 |
| July 2025 | 118.2 thousands | 1.0 |
| June 2025 | 117.8 thousands | 1.4 |
| May 2025 | 118.6 thousands | 2.2 |
| April 2025 | 119.1 thousands | 1.7 |
| March 2025 | 118.8 thousands | 1.5 |
| February 2025 | 119.1 thousands | 1.8 |
| January 2025 | 118.6 thousands | 2.5 |
| December 2024 | 118.5 thousands | 1.6 |
| November 2024 | 118.7 thousands | 1.6 |
| October 2024 | 117.8 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-36740.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-36740.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```