# United States Average hourly earnings of all employees, miscellaneous manufacturing, seasonally adjusted

United States Average hourly earnings of all employees, miscellaneous manufacturing, seasonally adjusted was up 4.6% year on year in October 2026, compared with 5.5% in September 2026.
The level stood at 36.01 USD/hour.
Over the past ten years it has ranged from −4.0% (Jul 2022) to 12.8% (May 2020), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AHE.M.SA.IND-31339000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2006-03-01 to 2026-10-01 (248 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-of-all-employees-miscellaneous-manufacturing

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 36.01 USD/hour | 4.6 |
| September 2026 | 35.98 USD/hour | 5.5 |
| August 2026 | 35.63 USD/hour | 4.3 |
| July 2026 | 35.56 USD/hour | 4.9 |
| June 2026 | 35.13 USD/hour | 4.7 |
| May 2026 | 35.02 USD/hour | 3.5 |
| April 2026 | 35.21 USD/hour | 4.9 |
| March 2026 | 35.06 USD/hour | 3.1 |
| February 2026 | 34.70 USD/hour | 3.2 |
| January 2026 | 34.71 USD/hour | 3.5 |
| December 2025 | 34.54 USD/hour | 4.2 |
| November 2025 | 34.48 USD/hour | 2.6 |
| October 2025 | 34.44 USD/hour | 3.0 |
| September 2025 | 34.10 USD/hour | 2.1 |
| August 2025 | 34.15 USD/hour | 3.2 |
| July 2025 | 33.91 USD/hour | 2.8 |
| June 2025 | 33.55 USD/hour | 1.9 |
| May 2025 | 33.83 USD/hour | 3.8 |
| April 2025 | 33.55 USD/hour | 3.8 |
| March 2025 | 33.99 USD/hour | 6.1 |
| February 2025 | 33.63 USD/hour | 6.0 |
| January 2025 | 33.54 USD/hour | 5.9 |
| December 2024 | 33.15 USD/hour | 5.0 |
| November 2024 | 33.62 USD/hour | 8.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AHE.M.SA.IND-31339000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AHE.M.SA.IND-31339000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```