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

All Employees: Professional, Scientific, and Technical Services — UT (statewide) (SA) was up 4.0% year on year in September 2026, compared with 3.4% in August 2026.
The level stood at 139.3 thousands.
Over the past ten years it has ranged from −1.6% (Jun 2024) to 8.5% (May 2018), averaging 4.2%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 139.3 thousands | 4.0 |
| August 2026 | 138.5 thousands | 3.4 |
| July 2026 | 138.1 thousands | 3.4 |
| June 2026 | 138.4 thousands | 4.0 |
| May 2026 | 138.1 thousands | 3.8 |
| April 2026 | 137.7 thousands | 3.5 |
| March 2026 | 137.5 thousands | 3.6 |
| February 2026 | 137.7 thousands | 4.0 |
| January 2026 | 137.6 thousands | 3.8 |
| December 2025 | 137.3 thousands | 4.3 |
| November 2025 | 136.5 thousands | 3.6 |
| October 2025 | 135.2 thousands | 2.6 |
| September 2025 | 134.0 thousands | 1.9 |
| August 2025 | 133.9 thousands | 2.0 |
| July 2025 | 133.5 thousands | 1.8 |
| June 2025 | 133.1 thousands | 1.7 |
| May 2025 | 133.1 thousands | 1.8 |
| April 2025 | 133.1 thousands | 2.2 |
| March 2025 | 132.7 thousands | 1.5 |
| February 2025 | 132.4 thousands | 1.3 |
| January 2025 | 132.6 thousands | 1.5 |
| December 2024 | 131.7 thousands | 0.4 |
| November 2024 | 131.8 thousands | 0.5 |
| October 2024 | 131.8 thousands | 0.2 |

## API

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

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