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

Average Weekly Earnings: Construction — WA (statewide) (NSA) was down 4.4% year on year in September 2026, compared with 1.9% in August 2026.
The level stood at 1,814.0 USD/week.
That is the lowest reading since September 2020.
Over the past ten years it has ranged from −4.6% (Sep 2020) to 14.8% (Feb 2020), averaging 5.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-WA.AWE.M.NSA.IND-20000000`
- 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-construction-wa-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,814.0 USD/week | −4.4 |
| August 2026 | 1,945.2 USD/week | 1.9 |
| July 2026 | 1,960.7 USD/week | 4.1 |
| June 2026 | 1,959.8 USD/week | 2.9 |
| May 2026 | 1,992.6 USD/week | 7.4 |
| April 2026 | 1,975.0 USD/week | 7.4 |
| March 2026 | 1,915.5 USD/week | 3.4 |
| February 2026 | 1,911.9 USD/week | 6.8 |
| January 2026 | 1,904.4 USD/week | 6.5 |
| December 2025 | 1,942.7 USD/week | 5.7 |
| November 2025 | 1,921.5 USD/week | 8.0 |
| October 2025 | 1,921.5 USD/week | 7.9 |
| September 2025 | 1,898.3 USD/week | 7.0 |
| August 2025 | 1,908.5 USD/week | 8.0 |
| July 2025 | 1,884.3 USD/week | 8.5 |
| June 2025 | 1,904.6 USD/week | 7.4 |
| May 2025 | 1,854.5 USD/week | 5.8 |
| April 2025 | 1,838.6 USD/week | 4.8 |
| March 2025 | 1,851.9 USD/week | 4.0 |
| February 2025 | 1,790.8 USD/week | 2.1 |
| January 2025 | 1,788.1 USD/week | 4.5 |
| December 2024 | 1,837.4 USD/week | 4.4 |
| November 2024 | 1,778.9 USD/week | 2.6 |
| October 2024 | 1,781.3 USD/week | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-WA.AWE.M.NSA.IND-20000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-WA.AWE.M.NSA.IND-20000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```