# All Employees: Professional, Scientific, and Technical Services — NC (statewide) (SA)

All Employees: Professional, Scientific, and Technical Services — NC (statewide) (SA) was up 3.7% year on year in September 2026, compared with 3.9% in August 2026.
The level stood at 346.0 thousands.
Over the past ten years it has ranged from −1.9% (Apr 2020) to 11.1% (Feb 2022), averaging 4.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NC.PAYEMS.M.SA.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-nc

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 346.0 thousands | 3.7 |
| August 2026 | 347.6 thousands | 3.9 |
| July 2026 | 344.6 thousands | 2.7 |
| June 2026 | 340.8 thousands | 1.7 |
| May 2026 | 342.0 thousands | 2.1 |
| April 2026 | 339.8 thousands | 1.4 |
| March 2026 | 335.7 thousands | 0.6 |
| February 2026 | 336.8 thousands | 0.7 |
| January 2026 | 335.7 thousands | 0.3 |
| December 2025 | 335.2 thousands | 0.06 |
| November 2025 | 333.5 thousands | −0.4 |
| October 2025 | 333.1 thousands | −0.7 |
| September 2025 | 333.5 thousands | −0.4 |
| August 2025 | 334.6 thousands | −0.03 |
| July 2025 | 335.6 thousands | 0.3 |
| June 2025 | 335.2 thousands | 0.3 |
| May 2025 | 335.0 thousands | 0.4 |
| April 2025 | 335.0 thousands | 0.6 |
| March 2025 | 333.8 thousands | 0.6 |
| February 2025 | 334.6 thousands | 0.9 |
| January 2025 | 334.6 thousands | 1.2 |
| December 2024 | 335.0 thousands | 0.0 |
| November 2024 | 335.0 thousands | 1.1 |
| October 2024 | 335.3 thousands | 1.5 |

## API

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

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