# All Employees: Total Nonfarm — UT (statewide) (SA)

All Employees: Total Nonfarm — UT (statewide) (SA) was up 1.5% year on year in September 2026, compared with 1.1% in August 2026.
The level stood at 1,797.0 thousands.
That is the highest reading since August 2025.
Over the past ten years it has ranged from −7.8% (Apr 2020) to 11.9% (Apr 2021), averaging 2.4%.
The next update is expected on 23 November 2026.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,797.0 thousands | 1.5 |
| August 2026 | 1,792.9 thousands | 1.1 |
| July 2026 | 1,787.9 thousands | 1.0 |
| June 2026 | 1,787.5 thousands | 1.3 |
| May 2026 | 1,785.8 thousands | 1.0 |
| April 2026 | 1,781.5 thousands | 0.8 |
| March 2026 | 1,774.9 thousands | 0.7 |
| February 2026 | 1,773.7 thousands | 0.7 |
| January 2026 | 1,773.9 thousands | 0.7 |
| December 2025 | 1,772.7 thousands | 0.8 |
| November 2025 | 1,768.6 thousands | 0.6 |
| October 2025 | 1,767.9 thousands | 0.7 |
| September 2025 | 1,770.7 thousands | 1.0 |
| August 2025 | 1,773.2 thousands | 1.6 |
| July 2025 | 1,770.4 thousands | 1.7 |
| June 2025 | 1,765.1 thousands | 1.5 |
| May 2025 | 1,768.3 thousands | 1.8 |
| April 2025 | 1,767.5 thousands | 1.8 |
| March 2025 | 1,763.0 thousands | 1.3 |
| February 2025 | 1,760.6 thousands | 1.5 |
| January 2025 | 1,761.9 thousands | 1.7 |
| December 2024 | 1,758.1 thousands | 1.5 |
| November 2024 | 1,758.1 thousands | 1.6 |
| October 2024 | 1,755.0 thousands | 1.5 |

## API

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

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