# Average Weekly Earnings: Total Private — Hanford-Corcoran, CA (NSA)

Average Weekly Earnings: Total Private — Hanford-Corcoran, CA (NSA) was up 15.9% year on year in September 2026, compared with 15.0% in August 2026.
The level stood at 1,026.6 USD/week.
That is the highest reading since January 2023.
Over the past ten years it has ranged from −14.8% (Mar 2021) to 36.0% (Sep 2018), averaging 5.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25260.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-hanford-corcoran-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,026.6 USD/week | 15.9 |
| August 2026 | 986.8 USD/week | 15.0 |
| July 2026 | 948.0 USD/week | 11.6 |
| June 2026 | 893.3 USD/week | −2.4 |
| May 2026 | 912.4 USD/week | −1.6 |
| April 2026 | 910.4 USD/week | 2.9 |
| March 2026 | 947.9 USD/week | 3.9 |
| February 2026 | 977.3 USD/week | 15.2 |
| January 2026 | 940.9 USD/week | 10.0 |
| December 2025 | 922.2 USD/week | 0.7 |
| November 2025 | 950.5 USD/week | 9.2 |
| October 2025 | 905.4 USD/week | 8.1 |
| September 2025 | 885.4 USD/week | −0.07 |
| August 2025 | 857.8 USD/week | 0.8 |
| July 2025 | 849.2 USD/week | −0.3 |
| June 2025 | 915.7 USD/week | 4.3 |
| May 2025 | 927.0 USD/week | 11.2 |
| April 2025 | 884.8 USD/week | 6.7 |
| March 2025 | 912.1 USD/week | 15.6 |
| February 2025 | 848.0 USD/week | 3.6 |
| January 2025 | 855.4 USD/week | 7.5 |
| December 2024 | 915.9 USD/week | 13.8 |
| November 2024 | 870.2 USD/week | 8.2 |
| October 2024 | 837.8 USD/week | −5.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-25260.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-25260.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```