# United States Average weekly earnings of all employees, janitorial services, not seasonally adjusted

United States Average weekly earnings of all employees, janitorial services, not seasonally adjusted was up 1.1% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 650.9 USD/week.
Over the past ten years it has ranged from −2.0% (Jan 2024) to 15.0% (Jan 2022), averaging 5.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.AWE.M.NSA.IND-60561720`
- 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-janitorial-services-not

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 650.9 USD/week | 1.1 |
| August 2026 | 656.0 USD/week | 0.9 |
| July 2026 | 651.5 USD/week | 2.2 |
| June 2026 | 647.4 USD/week | 0.4 |
| May 2026 | 646.3 USD/week | 2.2 |
| April 2026 | 644.8 USD/week | 3.7 |
| March 2026 | 647.7 USD/week | 2.3 |
| February 2026 | 645.3 USD/week | 2.4 |
| January 2026 | 631.7 USD/week | 2.7 |
| December 2025 | 643.4 USD/week | 2.1 |
| November 2025 | 645.2 USD/week | 4.3 |
| October 2025 | 647.1 USD/week | 4.3 |
| September 2025 | 643.7 USD/week | 2.5 |
| August 2025 | 650.3 USD/week | 4.6 |
| July 2025 | 637.5 USD/week | 4.7 |
| June 2025 | 644.8 USD/week | 3.4 |
| May 2025 | 632.6 USD/week | 3.0 |
| April 2025 | 621.6 USD/week | 1.8 |
| March 2025 | 633.0 USD/week | 5.1 |
| February 2025 | 630.3 USD/week | 4.8 |
| January 2025 | 615.2 USD/week | 2.6 |
| December 2024 | 630.0 USD/week | 2.8 |
| November 2024 | 618.6 USD/week | 1.2 |
| October 2024 | 620.1 USD/week | −0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.AWE.M.NSA.IND-60561720"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.AWE.M.NSA.IND-60561720",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```