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

United States Average hourly earnings of all employees, frozen food manufacturing, seasonally adjusted was up 4.2% year on year in September 2026, compared with 4.2% in August 2026.
The level stood at 25.86 USD/hour.
Over the past ten years it has ranged from −5.5% (Apr 2021) to 17.7% (Apr 2020), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AHE.M.SA.IND-32311410`
- 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-frozen-food-manufacturing

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 25.86 USD/hour | 4.2 |
| August 2026 | 25.78 USD/hour | 4.2 |
| July 2026 | 25.65 USD/hour | −0.3 |
| June 2026 | 25.42 USD/hour | 2.3 |
| May 2026 | 25.28 USD/hour | 1.2 |
| April 2026 | 25.48 USD/hour | 2.3 |
| March 2026 | 25.72 USD/hour | 4.0 |
| February 2026 | 25.67 USD/hour | 4.6 |
| January 2026 | 25.09 USD/hour | 2.1 |
| December 2025 | 25.64 USD/hour | 3.8 |
| November 2025 | 25.47 USD/hour | 4.7 |
| October 2025 | 24.93 USD/hour | 2.2 |
| September 2025 | 24.82 USD/hour | 1.1 |
| August 2025 | 24.73 USD/hour | 0.1 |
| July 2025 | 25.74 USD/hour | 3.3 |
| June 2025 | 24.85 USD/hour | 0.7 |
| May 2025 | 24.97 USD/hour | 1.5 |
| April 2025 | 24.91 USD/hour | 1.8 |
| March 2025 | 24.74 USD/hour | −0.4 |
| February 2025 | 24.54 USD/hour | −1.9 |
| January 2025 | 24.58 USD/hour | −2.1 |
| December 2024 | 24.69 USD/hour | −1.4 |
| November 2024 | 24.33 USD/hour | −3.2 |
| October 2024 | 24.39 USD/hour | −3.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AHE.M.SA.IND-32311410"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AHE.M.SA.IND-32311410",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
