# United States Average hourly earnings of all employees, land subdivision, not seasonally adjusted

United States Average hourly earnings of all employees, land subdivision, not seasonally adjusted was up 4.7% year on year in September 2026, compared with 3.1% in August 2026.
The level stood at 46.48 USD/hour.
Over the past ten years it has ranged from −13.1% (Nov 2021) to 21.5% (Jun 2025), averaging 2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AHE.M.NSA.IND-20237200`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2006-03-01 to 2026-09-01 (247 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-of-all-employees-land-subdivision-not

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 46.48 USD/hour | 4.7 |
| August 2026 | 46.18 USD/hour | 3.1 |
| July 2026 | 44.77 USD/hour | 2.8 |
| June 2026 | 45.00 USD/hour | 2.7 |
| May 2026 | 45.45 USD/hour | 2.2 |
| April 2026 | 45.63 USD/hour | 4.8 |
| March 2026 | 45.96 USD/hour | 7.7 |
| February 2026 | 45.67 USD/hour | 8.2 |
| January 2026 | 45.25 USD/hour | 8.1 |
| December 2025 | 44.54 USD/hour | 8.0 |
| November 2025 | 44.81 USD/hour | 10.3 |
| October 2025 | 44.51 USD/hour | 11.8 |
| September 2025 | 44.38 USD/hour | 14.7 |
| August 2025 | 44.78 USD/hour | 21.1 |
| July 2025 | 43.56 USD/hour | 18.8 |
| June 2025 | 43.81 USD/hour | 21.5 |
| May 2025 | 44.47 USD/hour | 19.7 |
| April 2025 | 43.53 USD/hour | 16.6 |
| March 2025 | 42.68 USD/hour | 16.7 |
| February 2025 | 42.22 USD/hour | 16.1 |
| January 2025 | 41.87 USD/hour | 13.0 |
| December 2024 | 41.24 USD/hour | 14.1 |
| November 2024 | 40.62 USD/hour | 14.0 |
| October 2024 | 39.82 USD/hour | 11.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AHE.M.NSA.IND-20237200"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AHE.M.NSA.IND-20237200",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```