# United States Average hourly earnings of all employees, poultry processing, not seasonally adjusted

United States Average hourly earnings of all employees, poultry processing, not seasonally adjusted was down 1.7% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 24.79 USD/hour.
Over the past ten years it has ranged from −2.3% (Mar 2026) to 14.0% (Sep 2021), averaging 5.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AHE.M.NSA.IND-32311615`
- 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-poultry-processing-not

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 24.79 USD/hour | −1.7 |
| August 2026 | 25.29 USD/hour | 0.8 |
| July 2026 | 25.51 USD/hour | 0.9 |
| June 2026 | 25.30 USD/hour | 0.2 |
| May 2026 | 24.95 USD/hour | −0.6 |
| April 2026 | 24.63 USD/hour | −2.2 |
| March 2026 | 24.75 USD/hour | −2.3 |
| February 2026 | 24.81 USD/hour | −1.6 |
| January 2026 | 25.04 USD/hour | −1.7 |
| December 2025 | 25.13 USD/hour | −0.3 |
| November 2025 | 25.13 USD/hour | 0.8 |
| October 2025 | 25.01 USD/hour | 0.6 |
| September 2025 | 25.23 USD/hour | 2.2 |
| August 2025 | 25.08 USD/hour | 1.5 |
| July 2025 | 25.27 USD/hour | 3.2 |
| June 2025 | 25.26 USD/hour | 5.4 |
| May 2025 | 25.11 USD/hour | 5.2 |
| April 2025 | 25.18 USD/hour | 5.4 |
| March 2025 | 25.33 USD/hour | 7.4 |
| February 2025 | 25.21 USD/hour | 8.2 |
| January 2025 | 25.48 USD/hour | 7.6 |
| December 2024 | 25.20 USD/hour | 8.2 |
| November 2024 | 24.94 USD/hour | 9.1 |
| October 2024 | 24.87 USD/hour | 5.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AHE.M.NSA.IND-32311615"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AHE.M.NSA.IND-32311615",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
