# All Employees: Professional, Scientific, and Technical Services — Charlotte-Concord-Gastonia, NC-SC (NSA)

All Employees: Professional, Scientific, and Technical Services — Charlotte-Concord-Gastonia, NC-SC (NSA) was up 4.3% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 93.10 thousands.
That is the highest reading since December 2023.
Over the past ten years it has ranged from −2.1% (Dec 2024) to 10.1% (Feb 2022), averaging 3.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-16740.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-charlotte

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 93.10 thousands | 4.3 |
| August 2026 | 94.10 thousands | 3.3 |
| July 2026 | 93.60 thousands | 2.0 |
| June 2026 | 92.10 thousands | 2.1 |
| May 2026 | 92.20 thousands | 2.3 |
| April 2026 | 92.60 thousands | 1.9 |
| March 2026 | 90.90 thousands | 1.1 |
| February 2026 | 92.10 thousands | 1.4 |
| January 2026 | 91.50 thousands | 1.1 |
| December 2025 | 91.00 thousands | 0.7 |
| November 2025 | 91.50 thousands | 0.2 |
| October 2025 | 90.60 thousands | −0.8 |
| September 2025 | 89.30 thousands | −0.2 |
| August 2025 | 91.10 thousands | 0.0 |
| July 2025 | 91.80 thousands | 0.1 |
| June 2025 | 90.20 thousands | −1.0 |
| May 2025 | 90.10 thousands | −1.2 |
| April 2025 | 90.90 thousands | −1.5 |
| March 2025 | 89.90 thousands | −1.5 |
| February 2025 | 90.80 thousands | −1.2 |
| January 2025 | 90.50 thousands | −0.9 |
| December 2024 | 90.40 thousands | −2.1 |
| November 2024 | 91.30 thousands | −0.9 |
| October 2024 | 91.30 thousands | −0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-16740.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-16740.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```