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

United States Average weekly earnings of all employees, furniture retailers, seasonally adjusted was up 4.8% year on year in September 2026, compared with 5.5% in August 2026.
The level stood at 1,032.6 USD/week.
Over the past ten years it has ranged from −5.3% (Sep 2022) to 21.3% (Apr 2021), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AWE.M.SA.IND-42449110`
- 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-furniture-retailers-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,032.6 USD/week | 4.8 |
| August 2026 | 1,031.5 USD/week | 5.5 |
| July 2026 | 996.8 USD/week | 1.9 |
| June 2026 | 1,009.0 USD/week | 1.9 |
| May 2026 | 1,012.0 USD/week | 3.6 |
| April 2026 | 1,007.3 USD/week | 3.3 |
| March 2026 | 1,025.7 USD/week | 3.4 |
| February 2026 | 1,015.4 USD/week | 3.3 |
| January 2026 | 1,013.0 USD/week | 3.3 |
| December 2025 | 986.5 USD/week | 0.2 |
| November 2025 | 982.4 USD/week | −0.3 |
| October 2025 | 994.8 USD/week | 1.1 |
| September 2025 | 984.9 USD/week | 1.3 |
| August 2025 | 978.0 USD/week | −1.3 |
| July 2025 | 978.2 USD/week | −2.4 |
| June 2025 | 989.9 USD/week | 2.0 |
| May 2025 | 976.4 USD/week | −1.2 |
| April 2025 | 975.3 USD/week | 0.4 |
| March 2025 | 992.2 USD/week | 2.1 |
| February 2025 | 983.2 USD/week | 2.3 |
| January 2025 | 981.0 USD/week | 4.7 |
| December 2024 | 984.0 USD/week | 4.2 |
| November 2024 | 985.2 USD/week | 2.5 |
| October 2024 | 984.5 USD/week | 5.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-42449110"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-42449110",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```