# All Employees: Professional, Scientific, and Technical Services — MS (statewide) (NSA)

All Employees: Professional, Scientific, and Technical Services — MS (statewide) (NSA) was down 2.7% year on year in September 2026, compared with −1.7% in August 2026.
The level stood at 39.90 thousands.
That is the lowest reading since February 2010.
Over the past ten years it has ranged from −2.7% (Sep 2026) to 11.8% (Feb 2022), averaging 3.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MS.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-ms-us-ms-payems-m-nsa-ind-60540000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 39.90 thousands | −2.7 |
| August 2026 | 40.50 thousands | −1.7 |
| July 2026 | 41.00 thousands | −0.2 |
| June 2026 | 41.10 thousands | 0.7 |
| May 2026 | 41.50 thousands | 2.5 |
| April 2026 | 42.10 thousands | 1.0 |
| March 2026 | 42.60 thousands | 2.7 |
| February 2026 | 42.80 thousands | 2.9 |
| January 2026 | 42.50 thousands | 3.2 |
| December 2025 | 43.10 thousands | 5.1 |
| November 2025 | 42.60 thousands | 5.2 |
| October 2025 | 42.20 thousands | 5.2 |
| September 2025 | 41.00 thousands | 2.5 |
| August 2025 | 41.20 thousands | 3.5 |
| July 2025 | 41.10 thousands | 3.0 |
| June 2025 | 40.80 thousands | 2.3 |
| May 2025 | 40.50 thousands | 1.8 |
| April 2025 | 41.70 thousands | 2.2 |
| March 2025 | 41.50 thousands | 2.2 |
| February 2025 | 41.60 thousands | 2.5 |
| January 2025 | 41.20 thousands | 3.5 |
| December 2024 | 41.00 thousands | 2.8 |
| November 2024 | 40.50 thousands | 3.3 |
| October 2024 | 40.10 thousands | 3.1 |

## API

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

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