# United States Average weekly earnings of all employees, food service contractors, seasonally adjusted

United States Average weekly earnings of all employees, food service contractors, seasonally adjusted was up 21.6% year on year in September 2026, compared with 22.0% in August 2026.
The level stood at 935.2 USD/week.
Over the past ten years it has ranged from −6.2% (Oct 2019) to 27.9% (May 2020), averaging 6.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AWE.M.SA.IND-70722310`
- Frequency: monthly
- Units: USD/week
- Coverage: 2006-03-01 to 2026-09-01 (247 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-of-all-employees-food-service-contractors

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 935.2 USD/week | 21.6 |
| August 2026 | 947.0 USD/week | 22.0 |
| July 2026 | 884.2 USD/week | 13.8 |
| June 2026 | 896.8 USD/week | 19.9 |
| May 2026 | 880.7 USD/week | 7.6 |
| April 2026 | 846.1 USD/week | 10.4 |
| March 2026 | 854.1 USD/week | 10.4 |
| February 2026 | 823.8 USD/week | 9.0 |
| January 2026 | 836.2 USD/week | 11.6 |
| December 2025 | 823.1 USD/week | 10.7 |
| November 2025 | 822.9 USD/week | 11.2 |
| October 2025 | 799.1 USD/week | 11.5 |
| September 2025 | 768.8 USD/week | 2.8 |
| August 2025 | 776.3 USD/week | 2.7 |
| July 2025 | 776.9 USD/week | 2.2 |
| June 2025 | 747.9 USD/week | 0.7 |
| May 2025 | 818.5 USD/week | 8.2 |
| April 2025 | 766.6 USD/week | 2.1 |
| March 2025 | 773.6 USD/week | 2.0 |
| February 2025 | 755.8 USD/week | 0.08 |
| January 2025 | 749.4 USD/week | −1.2 |
| December 2024 | 743.6 USD/week | −1.5 |
| November 2024 | 740.2 USD/week | −0.05 |
| October 2024 | 716.7 USD/week | −4.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-70722310"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-70722310",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```