# United States Average weekly earnings of all employees, landscape architectural services, seasonally adjusted

United States Average weekly earnings of all employees, landscape architectural services, seasonally adjusted was up 0.4% year on year in September 2026, compared with 1.9% in August 2026.
The level stood at 1,698.8 USD/week.
Over the past ten years it has ranged from −9.4% (Sep 2017) to 21.5% (Nov 2025), averaging 4.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AWE.M.SA.IND-60541320`
- 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-landscape-architectural

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,698.8 USD/week | 0.4 |
| August 2026 | 1,696.4 USD/week | 1.9 |
| July 2026 | 1,690.8 USD/week | 3.1 |
| June 2026 | 1,655.1 USD/week | −0.1 |
| May 2026 | 1,658.9 USD/week | 2.5 |
| April 2026 | 1,648.3 USD/week | 6.3 |
| March 2026 | 1,764.5 USD/week | 13.6 |
| February 2026 | 1,765.5 USD/week | 15.5 |
| January 2026 | 1,776.8 USD/week | 20.7 |
| December 2025 | 1,777.4 USD/week | 19.7 |
| November 2025 | 1,775.6 USD/week | 21.5 |
| October 2025 | 1,723.9 USD/week | 19.0 |
| September 2025 | 1,692.6 USD/week | 17.0 |
| August 2025 | 1,664.8 USD/week | 16.0 |
| July 2025 | 1,639.3 USD/week | 12.7 |
| June 2025 | 1,657.1 USD/week | 6.5 |
| May 2025 | 1,617.8 USD/week | 8.2 |
| April 2025 | 1,550.7 USD/week | 1.4 |
| March 2025 | 1,553.5 USD/week | 2.7 |
| February 2025 | 1,528.6 USD/week | 1.9 |
| January 2025 | 1,472.6 USD/week | −1.9 |
| December 2024 | 1,485.1 USD/week | −3.1 |
| November 2024 | 1,461.6 USD/week | −5.0 |
| October 2024 | 1,449.0 USD/week | −7.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-60541320"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.SA.IND-60541320",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```