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

United States Average weekly earnings of all employees, hardware retailers, seasonally adjusted was down 2.3% year on year in September 2026, compared with −0.02% in August 2026.
The level stood at 659.8 USD/week.
Over the past ten years it has ranged from −10.1% (Jan 2022) to 16.6% (Jan 2023), averaging 2.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AWE.M.SA.IND-42444140`
- 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-hardware-retailers-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 659.8 USD/week | −2.3 |
| August 2026 | 672.1 USD/week | −0.02 |
| July 2026 | 660.1 USD/week | −3.5 |
| June 2026 | 670.2 USD/week | −2.1 |
| May 2026 | 669.0 USD/week | −1.4 |
| April 2026 | 669.9 USD/week | −2.7 |
| March 2026 | 681.6 USD/week | −3.0 |
| February 2026 | 674.2 USD/week | −2.1 |
| January 2026 | 682.8 USD/week | −0.7 |
| December 2025 | 664.9 USD/week | −5.6 |
| November 2025 | 678.4 USD/week | −2.0 |
| October 2025 | 670.3 USD/week | −3.0 |
| September 2025 | 675.0 USD/week | −0.7 |
| August 2025 | 672.3 USD/week | −2.0 |
| July 2025 | 684.0 USD/week | −1.2 |
| June 2025 | 684.6 USD/week | −0.2 |
| May 2025 | 678.6 USD/week | −1.5 |
| April 2025 | 688.8 USD/week | 0.5 |
| March 2025 | 703.0 USD/week | 2.5 |
| February 2025 | 688.8 USD/week | −0.1 |
| January 2025 | 687.4 USD/week | 0.05 |
| December 2024 | 704.0 USD/week | 2.8 |
| November 2024 | 692.3 USD/week | 0.5 |
| October 2024 | 691.4 USD/week | 0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-42444140"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-42444140",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```