# Average Weekly Earnings: Total Private — Salt Lake City-Murray, UT (NSA)

Average Weekly Earnings: Total Private — Salt Lake City-Murray, UT (NSA) was up 4.1% year on year in September 2026, compared with 4.9% in August 2026.
The level stood at 1,392.3 USD/week.
Over the past ten years it has ranged from −3.3% (Jul 2024) to 13.6% (Jul 2023), averaging 4.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41620.AWE.M.NSA.IND-05000000`
- 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-total-private-salt-lake-city-murray-ut-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,392.3 USD/week | 4.1 |
| August 2026 | 1,411.6 USD/week | 4.9 |
| July 2026 | 1,386.8 USD/week | 3.1 |
| June 2026 | 1,383.1 USD/week | 2.4 |
| May 2026 | 1,371.8 USD/week | 4.2 |
| April 2026 | 1,377.7 USD/week | 4.8 |
| March 2026 | 1,419.1 USD/week | 5.6 |
| February 2026 | 1,407.3 USD/week | 6.7 |
| January 2026 | 1,373.5 USD/week | 8.2 |
| December 2025 | 1,347.8 USD/week | 3.9 |
| November 2025 | 1,389.9 USD/week | 9.0 |
| October 2025 | 1,355.3 USD/week | 5.2 |
| September 2025 | 1,338.0 USD/week | 0.4 |
| August 2025 | 1,346.2 USD/week | 4.1 |
| July 2025 | 1,344.5 USD/week | 5.3 |
| June 2025 | 1,350.4 USD/week | 3.0 |
| May 2025 | 1,316.5 USD/week | 3.2 |
| April 2025 | 1,315.0 USD/week | 2.3 |
| March 2025 | 1,343.4 USD/week | 5.2 |
| February 2025 | 1,318.7 USD/week | 2.5 |
| January 2025 | 1,270.0 USD/week | −1.2 |
| December 2024 | 1,297.8 USD/week | 0.4 |
| November 2024 | 1,274.8 USD/week | −0.4 |
| October 2024 | 1,288.3 USD/week | −2.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41620.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41620.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```