# Average Weekly Earnings: Private Service Providing — MI (statewide) (NSA)

Average Weekly Earnings: Private Service Providing — MI (statewide) (NSA) was up 1.2% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 1,083.4 USD/week.
Over the past ten years it has ranged from −1.5% (Nov 2016) to 8.8% (Feb 2022), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MI.AWE.M.NSA.IND-08000000`
- 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-private-service-providing-mi-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,083.4 USD/week | 1.2 |
| August 2026 | 1,089.6 USD/week | 3.3 |
| July 2026 | 1,063.8 USD/week | 1.2 |
| June 2026 | 1,072.3 USD/week | 1.1 |
| May 2026 | 1,073.2 USD/week | 2.7 |
| April 2026 | 1,080.6 USD/week | 2.4 |
| March 2026 | 1,091.6 USD/week | 3.3 |
| February 2026 | 1,096.4 USD/week | 3.8 |
| January 2026 | 1,073.8 USD/week | 3.4 |
| December 2025 | 1,073.8 USD/week | 1.4 |
| November 2025 | 1,100.8 USD/week | 6.4 |
| October 2025 | 1,068.0 USD/week | 3.2 |
| September 2025 | 1,070.0 USD/week | 2.6 |
| August 2025 | 1,054.6 USD/week | 3.7 |
| July 2025 | 1,051.0 USD/week | 3.7 |
| June 2025 | 1,060.5 USD/week | 3.1 |
| May 2025 | 1,045.2 USD/week | 2.9 |
| April 2025 | 1,055.2 USD/week | 2.9 |
| March 2025 | 1,056.5 USD/week | 3.1 |
| February 2025 | 1,055.9 USD/week | 3.7 |
| January 2025 | 1,038.0 USD/week | 2.5 |
| December 2024 | 1,058.5 USD/week | 3.9 |
| November 2024 | 1,034.9 USD/week | 1.7 |
| October 2024 | 1,035.1 USD/week | 0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MI.AWE.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MI.AWE.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
