# Average Weekly Earnings: Total Private — WA (statewide) (NSA)

Average Weekly Earnings: Total Private — WA (statewide) (NSA) was up 0.6% year on year in September 2026, compared with 5.7% in August 2026.
The level stood at 1,498.0 USD/week.
That is the lowest reading since October 2024.
Over the past ten years it has ranged from −1.6% (Feb 2021) to 9.4% (Nov 2025), averaging 3.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.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-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,498.0 USD/week | 0.6 |
| August 2026 | 1,553.5 USD/week | 5.7 |
| July 2026 | 1,505.0 USD/week | 3.9 |
| June 2026 | 1,509.4 USD/week | 1.5 |
| May 2026 | 1,518.7 USD/week | 5.5 |
| April 2026 | 1,522.5 USD/week | 6.1 |
| March 2026 | 1,544.2 USD/week | 5.1 |
| February 2026 | 1,551.1 USD/week | 5.9 |
| January 2026 | 1,514.4 USD/week | 6.6 |
| December 2025 | 1,501.2 USD/week | 2.6 |
| November 2025 | 1,552.7 USD/week | 9.4 |
| October 2025 | 1,501.0 USD/week | 6.5 |
| September 2025 | 1,489.0 USD/week | 3.4 |
| August 2025 | 1,469.5 USD/week | 5.7 |
| July 2025 | 1,448.6 USD/week | 4.6 |
| June 2025 | 1,487.5 USD/week | 4.0 |
| May 2025 | 1,439.3 USD/week | 4.1 |
| April 2025 | 1,434.5 USD/week | 3.0 |
| March 2025 | 1,470.0 USD/week | 5.9 |
| February 2025 | 1,465.1 USD/week | 5.4 |
| January 2025 | 1,420.3 USD/week | 3.3 |
| December 2024 | 1,462.7 USD/week | 5.4 |
| November 2024 | 1,419.2 USD/week | 3.9 |
| October 2024 | 1,408.7 USD/week | 0.6 |

## API

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

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