# Average Weekly Earnings: Professional and Business Services — MS (statewide) (NSA)

Average Weekly Earnings: Professional and Business Services — MS (statewide) (NSA) was up 4.9% year on year in September 2026, compared with 11.2% in August 2026.
The level stood at 1,043.4 USD/week.
Over the past ten years it has ranged from −9.6% (Jan 2018) to 17.9% (Oct 2022), averaging 3.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MS.AWE.M.NSA.IND-60000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-professional-and-business-services-ms-statewide

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,043.4 USD/week | 4.9 |
| August 2026 | 1,089.4 USD/week | 11.2 |
| July 2026 | 1,054.6 USD/week | 7.4 |
| June 2026 | 1,048.5 USD/week | 4.6 |
| May 2026 | 1,054.2 USD/week | 8.4 |
| April 2026 | 1,030.5 USD/week | 4.5 |
| March 2026 | 1,047.9 USD/week | 4.6 |
| February 2026 | 1,035.9 USD/week | 5.3 |
| January 2026 | 980.6 USD/week | 3.9 |
| December 2025 | 972.5 USD/week | −0.8 |
| November 2025 | 987.8 USD/week | 3.5 |
| October 2025 | 975.0 USD/week | 0.3 |
| September 2025 | 994.6 USD/week | 0.8 |
| August 2025 | 979.6 USD/week | 1.3 |
| July 2025 | 981.7 USD/week | −1.3 |
| June 2025 | 1,002.6 USD/week | −0.2 |
| May 2025 | 972.2 USD/week | −0.1 |
| April 2025 | 985.8 USD/week | 2.3 |
| March 2025 | 1,002.2 USD/week | 3.8 |
| February 2025 | 983.4 USD/week | 2.6 |
| January 2025 | 943.6 USD/week | −1.1 |
| December 2024 | 979.9 USD/week | 0.6 |
| November 2024 | 954.4 USD/week | −0.3 |
| October 2024 | 972.5 USD/week | −0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MS.AWE.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MS.AWE.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```