# United States Average weekly earnings of all employees, community food services, seasonally adjusted

United States Average weekly earnings of all employees, community food services, seasonally adjusted was up 11.6% year on year in September 2026, compared with 10.6% in August 2026.
The level stood at 930.0 USD/week.
Over the past ten years it has ranged from −7.9% (Mar 2025) to 15.9% (Oct 2016), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AWE.M.SA.IND-65624210`
- 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-community-food-services

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 930.0 USD/week | 11.6 |
| August 2026 | 933.6 USD/week | 10.6 |
| July 2026 | 928.6 USD/week | 11.0 |
| June 2026 | 919.6 USD/week | 12.4 |
| May 2026 | 909.9 USD/week | 14.4 |
| April 2026 | 896.1 USD/week | 14.4 |
| March 2026 | 871.9 USD/week | 13.5 |
| February 2026 | 864.2 USD/week | 10.2 |
| January 2026 | 844.9 USD/week | 8.5 |
| December 2025 | 846.9 USD/week | 8.8 |
| November 2025 | 846.2 USD/week | 6.4 |
| October 2025 | 865.8 USD/week | 7.2 |
| September 2025 | 833.6 USD/week | 3.2 |
| August 2025 | 844.3 USD/week | 7.1 |
| July 2025 | 836.9 USD/week | 3.2 |
| June 2025 | 818.2 USD/week | 0.2 |
| May 2025 | 795.3 USD/week | −3.8 |
| April 2025 | 783.2 USD/week | −7.5 |
| March 2025 | 768.2 USD/week | −7.9 |
| February 2025 | 784.0 USD/week | −6.0 |
| January 2025 | 778.4 USD/week | −7.7 |
| December 2024 | 778.4 USD/week | −7.8 |
| November 2024 | 795.4 USD/week | −3.5 |
| October 2024 | 808.0 USD/week | −2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-65624210"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-65624210",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```