# Average Weekly Earnings: Total Private — Provo-Orem-Lehi, UT (NSA)

Average Weekly Earnings: Total Private — Provo-Orem-Lehi, UT (NSA) was down 7.3% year on year in September 2026, compared with −2.8% in August 2026.
The level stood at 1,018.6 USD/week.
Over the past ten years it has ranged from −12.5% (Jul 2021) to 17.6% (Apr 2017), averaging 2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-39340.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-provo-orem-lehi-ut-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,018.6 USD/week | −7.3 |
| August 2026 | 1,070.6 USD/week | −2.8 |
| July 2026 | 1,029.2 USD/week | −6.3 |
| June 2026 | 1,039.6 USD/week | −9.6 |
| May 2026 | 1,057.8 USD/week | −4.3 |
| April 2026 | 1,055.4 USD/week | −6.2 |
| March 2026 | 1,084.1 USD/week | −6.2 |
| February 2026 | 1,065.6 USD/week | −8.0 |
| January 2026 | 1,033.4 USD/week | −6.5 |
| December 2025 | 1,059.0 USD/week | −6.4 |
| November 2025 | 1,110.3 USD/week | 2.5 |
| October 2025 | 1,076.8 USD/week | 0.2 |
| September 2025 | 1,099.1 USD/week | 0.2 |
| August 2025 | 1,101.2 USD/week | 3.7 |
| July 2025 | 1,098.9 USD/week | 3.7 |
| June 2025 | 1,149.8 USD/week | 4.6 |
| May 2025 | 1,105.8 USD/week | 2.9 |
| April 2025 | 1,125.6 USD/week | 6.3 |
| March 2025 | 1,155.4 USD/week | 10.9 |
| February 2025 | 1,158.3 USD/week | 13.3 |
| January 2025 | 1,104.7 USD/week | 8.3 |
| December 2024 | 1,131.0 USD/week | 9.6 |
| November 2024 | 1,083.5 USD/week | 6.6 |
| October 2024 | 1,074.8 USD/week | 3.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-39340.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-39340.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```