# All Employees: Private Service Providing — UT (statewide) (NSA)

All Employees: Private Service Providing — UT (statewide) (NSA) was up 1.7% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 1,206.5 thousands.
Over the past ten years it has ranged from −10.7% (Apr 2020) to 15.4% (Apr 2021), averaging 2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-UT.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-ut-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,206.5 thousands | 1.7 |
| August 2026 | 1,205.5 thousands | 1.6 |
| July 2026 | 1,204.2 thousands | 2.1 |
| June 2026 | 1,201.2 thousands | 2.2 |
| May 2026 | 1,198.0 thousands | 1.5 |
| April 2026 | 1,196.9 thousands | 1.1 |
| March 2026 | 1,186.8 thousands | 0.9 |
| February 2026 | 1,184.3 thousands | 1.0 |
| January 2026 | 1,178.6 thousands | 0.9 |
| December 2025 | 1,196.8 thousands | 1.0 |
| November 2025 | 1,193.6 thousands | 0.7 |
| October 2025 | 1,189.3 thousands | 0.8 |
| September 2025 | 1,186.6 thousands | 1.2 |
| August 2025 | 1,186.8 thousands | 1.6 |
| July 2025 | 1,179.7 thousands | 1.6 |
| June 2025 | 1,175.7 thousands | 1.4 |
| May 2025 | 1,180.0 thousands | 1.6 |
| April 2025 | 1,183.5 thousands | 1.6 |
| March 2025 | 1,175.7 thousands | 1.0 |
| February 2025 | 1,172.7 thousands | 1.2 |
| January 2025 | 1,168.1 thousands | 1.4 |
| December 2024 | 1,185.5 thousands | 1.1 |
| November 2024 | 1,185.4 thousands | 1.3 |
| October 2024 | 1,180.2 thousands | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-UT.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-UT.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```