# Average Weekly Earnings: Total Private — Seattle-Tacoma-Bellevue, WA (NSA)

Average Weekly Earnings: Total Private — Seattle-Tacoma-Bellevue, WA (NSA) was up 5.3% year on year in September 2026, compared with 8.7% in August 2026.
The level stood at 1,670.0 USD/week.
Over the past ten years it has ranged from −5.5% (Jan 2020) to 12.9% (Dec 2018), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42660.AWE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2011-01-01 to 2026-09-01 (189 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-total-private-seattle-tacoma-bellevue-wa-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,670.0 USD/week | 5.3 |
| August 2026 | 1,706.8 USD/week | 8.7 |
| July 2026 | 1,658.8 USD/week | 7.2 |
| June 2026 | 1,646.0 USD/week | 3.8 |
| May 2026 | 1,666.9 USD/week | 8.5 |
| April 2026 | 1,652.0 USD/week | 7.3 |
| March 2026 | 1,667.6 USD/week | 6.3 |
| February 2026 | 1,670.6 USD/week | 6.7 |
| January 2026 | 1,633.4 USD/week | 9.1 |
| December 2025 | 1,629.7 USD/week | 6.2 |
| November 2025 | 1,672.8 USD/week | 12.4 |
| October 2025 | 1,606.6 USD/week | 9.5 |
| September 2025 | 1,585.4 USD/week | 6.1 |
| August 2025 | 1,570.8 USD/week | 8.9 |
| July 2025 | 1,547.0 USD/week | 8.6 |
| June 2025 | 1,585.5 USD/week | 8.6 |
| May 2025 | 1,536.7 USD/week | 8.6 |
| April 2025 | 1,539.9 USD/week | 9.3 |
| March 2025 | 1,568.0 USD/week | 11.7 |
| February 2025 | 1,565.2 USD/week | 10.8 |
| January 2025 | 1,496.7 USD/week | 7.8 |
| December 2024 | 1,534.8 USD/week | 5.8 |
| November 2024 | 1,487.9 USD/week | 4.2 |
| October 2024 | 1,467.1 USD/week | −0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42660.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42660.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```