# Average Hourly Earnings: Total Private — Anaheim-Santa Ana-Irvine, CA Metropolitan Division (NSA)

Average Hourly Earnings: Total Private — Anaheim-Santa Ana-Irvine, CA Metropolitan Division (NSA) was up 3.4% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 42.78 USD/hour.
Over the past ten years it has ranged from −2.4% (Sep 2023) to 10.7% (Jan 2021), averaging 3.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-11244.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-anaheim-santa-ana-irvine-ca

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 42.78 USD/hour | 3.4 |
| August 2026 | 42.41 USD/hour | 3.3 |
| July 2026 | 42.21 USD/hour | 2.9 |
| June 2026 | 41.54 USD/hour | 1.3 |
| May 2026 | 41.65 USD/hour | 2.5 |
| April 2026 | 41.85 USD/hour | 3.1 |
| March 2026 | 41.81 USD/hour | 3.2 |
| February 2026 | 41.79 USD/hour | 2.9 |
| January 2026 | 41.48 USD/hour | 2.9 |
| December 2025 | 41.70 USD/hour | 3.6 |
| November 2025 | 41.73 USD/hour | 4.8 |
| October 2025 | 41.25 USD/hour | 5.8 |
| September 2025 | 41.39 USD/hour | 5.7 |
| August 2025 | 41.05 USD/hour | 6.5 |
| July 2025 | 41.01 USD/hour | 6.2 |
| June 2025 | 41.00 USD/hour | 5.7 |
| May 2025 | 40.62 USD/hour | 6.6 |
| April 2025 | 40.61 USD/hour | 7.5 |
| March 2025 | 40.50 USD/hour | 9.7 |
| February 2025 | 40.61 USD/hour | 9.2 |
| January 2025 | 40.31 USD/hour | 8.6 |
| December 2024 | 40.25 USD/hour | 6.9 |
| November 2024 | 39.82 USD/hour | 5.6 |
| October 2024 | 38.98 USD/hour | 4.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-11244.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-11244.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```