# Average Weekly Earnings: Total Private — Eugene-Springfield, OR (NSA)

Average Weekly Earnings: Total Private — Eugene-Springfield, OR (NSA) was up 2.7% year on year in September 2026, compared with 7.6% in August 2026.
The level stood at 1,094.9 USD/week.
Over the past ten years it has ranged from −6.2% (Sep 2020) to 13.1% (Apr 2023), averaging 3.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-21660.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-eugene-springfield-or-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,094.9 USD/week | 2.7 |
| August 2026 | 1,143.4 USD/week | 7.6 |
| July 2026 | 1,077.4 USD/week | 4.0 |
| June 2026 | 1,060.7 USD/week | −3.8 |
| May 2026 | 1,065.5 USD/week | −0.1 |
| April 2026 | 1,067.7 USD/week | 2.3 |
| March 2026 | 1,088.7 USD/week | 1.3 |
| February 2026 | 1,122.2 USD/week | 4.9 |
| January 2026 | 1,081.6 USD/week | 4.2 |
| December 2025 | 1,074.6 USD/week | −0.1 |
| November 2025 | 1,120.5 USD/week | 7.5 |
| October 2025 | 1,065.0 USD/week | 2.9 |
| September 2025 | 1,066.2 USD/week | −0.3 |
| August 2025 | 1,062.4 USD/week | 4.2 |
| July 2025 | 1,035.6 USD/week | 3.1 |
| June 2025 | 1,102.1 USD/week | 5.6 |
| May 2025 | 1,066.7 USD/week | 7.8 |
| April 2025 | 1,043.6 USD/week | 2.0 |
| March 2025 | 1,075.2 USD/week | 6.4 |
| February 2025 | 1,069.6 USD/week | 4.6 |
| January 2025 | 1,037.7 USD/week | 3.9 |
| December 2024 | 1,076.2 USD/week | 5.1 |
| November 2024 | 1,042.3 USD/week | 2.2 |
| October 2024 | 1,035.5 USD/week | 1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-21660.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-21660.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```