# Average Weekly Earnings: Information — WA (statewide) (NSA)

Average Weekly Earnings: Information — WA (statewide) (NSA) was down 13.0% year on year in September 2026, compared with −2.3% in August 2026.
The level stood at 2,312.5 USD/week.
That is the lowest reading since March 2021.
Over the past ten years it has ranged from −19.3% (Jun 2020) to 21.7% (Jul 2023), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.AWE.M.NSA.IND-50000000`
- 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-information-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,312.5 USD/week | −13.0 |
| August 2026 | 2,462.2 USD/week | −2.3 |
| July 2026 | 2,394.6 USD/week | −0.06 |
| June 2026 | 2,485.1 USD/week | −5.6 |
| May 2026 | 2,533.1 USD/week | 7.3 |
| April 2026 | 2,536.3 USD/week | 8.8 |
| March 2026 | 2,637.7 USD/week | 5.4 |
| February 2026 | 2,745.1 USD/week | 8.2 |
| January 2026 | 2,535.7 USD/week | 0.9 |
| December 2025 | 2,569.8 USD/week | −4.0 |
| November 2025 | 2,800.4 USD/week | 12.3 |
| October 2025 | 2,689.1 USD/week | 8.1 |
| September 2025 | 2,657.9 USD/week | 0.8 |
| August 2025 | 2,521.0 USD/week | 1.8 |
| July 2025 | 2,396.1 USD/week | 1.0 |
| June 2025 | 2,632.9 USD/week | 2.3 |
| May 2025 | 2,360.2 USD/week | 2.4 |
| April 2025 | 2,330.9 USD/week | −2.9 |
| March 2025 | 2,502.1 USD/week | 9.4 |
| February 2025 | 2,536.2 USD/week | 10.5 |
| January 2025 | 2,511.9 USD/week | 9.5 |
| December 2024 | 2,676.5 USD/week | 17.3 |
| November 2024 | 2,494.4 USD/week | 15.1 |
| October 2024 | 2,488.4 USD/week | 5.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.AWE.M.NSA.IND-50000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.AWE.M.NSA.IND-50000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```