# Average Weekly Earnings: Manufacturing — UT (statewide) (NSA)

Average Weekly Earnings: Manufacturing — UT (statewide) (NSA) was down 0.3% year on year in September 2026, compared with 3.5% in August 2026.
The level stood at 1,315.7 USD/week.
That is the lowest reading since December 2021.
Over the past ten years it has ranged from −7.8% (Oct 2018) to 13.3% (Nov 2022), averaging 3.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-UT.AWE.M.NSA.IND-30000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-manufacturing-ut-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,315.7 USD/week | −0.3 |
| August 2026 | 1,368.2 USD/week | 3.5 |
| July 2026 | 1,342.8 USD/week | 3.3 |
| June 2026 | 1,361.0 USD/week | 5.7 |
| May 2026 | 1,372.3 USD/week | 6.6 |
| April 2026 | 1,354.4 USD/week | 5.9 |
| March 2026 | 1,331.9 USD/week | 5.7 |
| February 2026 | 1,304.9 USD/week | 5.7 |
| January 2026 | 1,314.9 USD/week | 5.2 |
| December 2025 | 1,306.4 USD/week | 3.7 |
| November 2025 | 1,321.2 USD/week | 4.2 |
| October 2025 | 1,312.5 USD/week | 5.3 |
| September 2025 | 1,319.0 USD/week | 4.9 |
| August 2025 | 1,322.1 USD/week | 5.7 |
| July 2025 | 1,300.0 USD/week | 4.7 |
| June 2025 | 1,288.2 USD/week | 3.8 |
| May 2025 | 1,287.7 USD/week | 4.5 |
| April 2025 | 1,278.3 USD/week | 3.9 |
| March 2025 | 1,260.3 USD/week | 3.6 |
| February 2025 | 1,234.6 USD/week | 0.7 |
| January 2025 | 1,249.5 USD/week | 3.5 |
| December 2024 | 1,259.7 USD/week | 2.3 |
| November 2024 | 1,267.9 USD/week | 1.9 |
| October 2024 | 1,246.7 USD/week | 1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-UT.AWE.M.NSA.IND-30000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-UT.AWE.M.NSA.IND-30000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```