# Average Weekly Earnings: Total Private — Spokane-Spokane Valley, WA (NSA)

Average Weekly Earnings: Total Private — Spokane-Spokane Valley, WA (NSA) was up 4.1% year on year in September 2026, compared with 9.0% in August 2026.
The level stood at 1,304.0 USD/week.
Over the past ten years it has ranged from −5.6% (Apr 2019) to 14.4% (Feb 2020), averaging 4.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-44060.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-spokane-spokane-valley-wa-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,304.0 USD/week | 4.1 |
| August 2026 | 1,354.5 USD/week | 9.0 |
| July 2026 | 1,332.9 USD/week | 11.5 |
| June 2026 | 1,304.7 USD/week | 7.4 |
| May 2026 | 1,324.0 USD/week | 11.2 |
| April 2026 | 1,283.9 USD/week | 7.8 |
| March 2026 | 1,326.3 USD/week | 7.3 |
| February 2026 | 1,303.7 USD/week | 6.2 |
| January 2026 | 1,278.9 USD/week | 5.1 |
| December 2025 | 1,258.2 USD/week | 3.6 |
| November 2025 | 1,307.7 USD/week | 10.1 |
| October 2025 | 1,260.4 USD/week | 3.7 |
| September 2025 | 1,253.1 USD/week | 0.06 |
| August 2025 | 1,242.2 USD/week | 0.4 |
| July 2025 | 1,195.4 USD/week | −1.4 |
| June 2025 | 1,215.1 USD/week | −3.0 |
| May 2025 | 1,190.2 USD/week | −2.4 |
| April 2025 | 1,190.9 USD/week | −3.1 |
| March 2025 | 1,235.8 USD/week | 2.0 |
| February 2025 | 1,227.5 USD/week | 1.0 |
| January 2025 | 1,216.6 USD/week | 0.4 |
| December 2024 | 1,214.8 USD/week | 0.5 |
| November 2024 | 1,188.2 USD/week | −3.8 |
| October 2024 | 1,215.6 USD/week | −2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-44060.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-44060.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```