# Average Weekly Earnings: Total Private — Santa Rosa-Petaluma, CA (NSA)

Average Weekly Earnings: Total Private — Santa Rosa-Petaluma, CA (NSA) was down 1.5% year on year in September 2026, compared with 0.3% in August 2026.
The level stood at 1,275.3 USD/week.
Over the past ten years it has ranged from −8.6% (Dec 2023) to 18.3% (Aug 2025), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42220.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-santa-rosa-petaluma-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,275.3 USD/week | −1.5 |
| August 2026 | 1,312.8 USD/week | 0.3 |
| July 2026 | 1,240.2 USD/week | −2.2 |
| June 2026 | 1,245.9 USD/week | −3.1 |
| May 2026 | 1,280.4 USD/week | 1.5 |
| April 2026 | 1,270.4 USD/week | 3.8 |
| March 2026 | 1,316.0 USD/week | 10.0 |
| February 2026 | 1,279.2 USD/week | 10.3 |
| January 2026 | 1,294.7 USD/week | 12.2 |
| December 2025 | 1,322.5 USD/week | 14.7 |
| November 2025 | 1,316.1 USD/week | 14.9 |
| October 2025 | 1,286.1 USD/week | 15.9 |
| September 2025 | 1,294.2 USD/week | 14.5 |
| August 2025 | 1,309.2 USD/week | 18.3 |
| July 2025 | 1,267.5 USD/week | 14.1 |
| June 2025 | 1,285.7 USD/week | 12.5 |
| May 2025 | 1,261.9 USD/week | 12.5 |
| April 2025 | 1,224.2 USD/week | 10.2 |
| March 2025 | 1,195.8 USD/week | 8.5 |
| February 2025 | 1,160.1 USD/week | 3.1 |
| January 2025 | 1,154.2 USD/week | 3.6 |
| December 2024 | 1,153.2 USD/week | 6.6 |
| November 2024 | 1,145.3 USD/week | 3.3 |
| October 2024 | 1,109.8 USD/week | −3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42220.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42220.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```