# United States Average weekly earnings of all employees, used merchandise retailers, seasonally adjusted

United States Average weekly earnings of all employees, used merchandise retailers, seasonally adjusted was up 4.0% year on year in September 2026, compared with 3.1% in August 2026.
The level stood at 616.3 USD/week.
Over the past ten years it has ranged from −3.8% (Jan 2018) to 10.0% (Feb 2022), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AWE.M.SA.IND-42459500`
- 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-used-merchandise-retailers

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 616.3 USD/week | 4.0 |
| August 2026 | 616.4 USD/week | 3.1 |
| July 2026 | 619.1 USD/week | 5.7 |
| June 2026 | 625.0 USD/week | 8.7 |
| May 2026 | 624.6 USD/week | 8.3 |
| April 2026 | 622.5 USD/week | 7.8 |
| March 2026 | 624.0 USD/week | 7.8 |
| February 2026 | 619.8 USD/week | 8.1 |
| January 2026 | 616.9 USD/week | 7.3 |
| December 2025 | 604.5 USD/week | 5.0 |
| November 2025 | 596.5 USD/week | 4.7 |
| October 2025 | 598.3 USD/week | 4.8 |
| September 2025 | 592.5 USD/week | 4.4 |
| August 2025 | 597.7 USD/week | 7.1 |
| July 2025 | 586.0 USD/week | 5.0 |
| June 2025 | 574.8 USD/week | 2.1 |
| May 2025 | 576.6 USD/week | 3.8 |
| April 2025 | 577.4 USD/week | 5.4 |
| March 2025 | 579.0 USD/week | 5.7 |
| February 2025 | 573.6 USD/week | 5.2 |
| January 2025 | 575.0 USD/week | 5.1 |
| December 2024 | 575.8 USD/week | 7.0 |
| November 2024 | 569.8 USD/week | 6.0 |
| October 2024 | 570.7 USD/week | 6.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-42459500"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-42459500",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```