# All Employees: Specialty Trade Contractors — UT (statewide) (NSA)

All Employees: Specialty Trade Contractors — UT (statewide) (NSA) was up 3.2% year on year in September 2026, compared with 2.9% in August 2026.
The level stood at 101.8 thousands.
That is the highest reading since May 2025.
Over the past ten years it has ranged from −0.6% (Oct 2025) to 10.0% (Feb 2018), averaging 4.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-UT.PAYEMS.M.NSA.IND-20238000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-specialty-trade-contractors-ut-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 101.8 thousands | 3.2 |
| August 2026 | 102.1 thousands | 2.9 |
| July 2026 | 101.3 thousands | 2.1 |
| June 2026 | 101.3 thousands | 1.6 |
| May 2026 | 100.4 thousands | 1.6 |
| April 2026 | 97.10 thousands | 0.0 |
| March 2026 | 96.50 thousands | 0.8 |
| February 2026 | 95.50 thousands | 0.8 |
| January 2026 | 94.30 thousands | −0.1 |
| December 2025 | 96.70 thousands | 0.2 |
| November 2025 | 97.50 thousands | −0.1 |
| October 2025 | 97.30 thousands | −0.6 |
| September 2025 | 98.60 thousands | 0.7 |
| August 2025 | 99.20 thousands | 1.0 |
| July 2025 | 99.20 thousands | 2.0 |
| June 2025 | 99.70 thousands | 3.0 |
| May 2025 | 98.80 thousands | 3.9 |
| April 2025 | 97.10 thousands | 3.6 |
| March 2025 | 95.70 thousands | 3.8 |
| February 2025 | 94.70 thousands | 4.2 |
| January 2025 | 94.40 thousands | 4.7 |
| December 2024 | 96.50 thousands | 3.7 |
| November 2024 | 97.60 thousands | 3.9 |
| October 2024 | 97.90 thousands | 3.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-UT.PAYEMS.M.NSA.IND-20238000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-UT.PAYEMS.M.NSA.IND-20238000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```