# Average Weekly Earnings: Private Service Providing — CA (statewide) (NSA)

Average Weekly Earnings: Private Service Providing — CA (statewide) (NSA) was up 2.4% year on year in September 2026, compared with 5.6% in August 2026.
The level stood at 1,353.0 USD/week.
Over the past ten years it has ranged from −3.1% (May 2023) to 13.7% (Aug 2020), averaging 3.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CA.AWE.M.NSA.IND-08000000`
- 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-private-service-providing-ca-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,353.0 USD/week | 2.4 |
| August 2026 | 1,389.2 USD/week | 5.6 |
| July 2026 | 1,341.4 USD/week | 2.9 |
| June 2026 | 1,334.4 USD/week | −0.6 |
| May 2026 | 1,334.4 USD/week | 2.8 |
| April 2026 | 1,331.5 USD/week | 1.9 |
| March 2026 | 1,372.1 USD/week | 2.8 |
| February 2026 | 1,367.9 USD/week | 2.0 |
| January 2026 | 1,329.2 USD/week | 2.1 |
| December 2025 | 1,328.0 USD/week | −0.7 |
| November 2025 | 1,351.9 USD/week | 4.3 |
| October 2025 | 1,324.5 USD/week | 2.4 |
| September 2025 | 1,321.9 USD/week | −0.3 |
| August 2025 | 1,315.8 USD/week | 2.7 |
| July 2025 | 1,303.8 USD/week | 2.5 |
| June 2025 | 1,341.8 USD/week | 2.5 |
| May 2025 | 1,297.9 USD/week | 2.8 |
| April 2025 | 1,307.3 USD/week | 4.4 |
| March 2025 | 1,334.5 USD/week | 6.6 |
| February 2025 | 1,341.2 USD/week | 6.6 |
| January 2025 | 1,301.4 USD/week | 4.6 |
| December 2024 | 1,337.0 USD/week | 6.7 |
| November 2024 | 1,295.9 USD/week | 4.3 |
| October 2024 | 1,294.0 USD/week | 0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CA.AWE.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CA.AWE.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
