# Average Weekly Earnings: Total Private — Saginaw, MI (NSA)

Average Weekly Earnings: Total Private — Saginaw, MI (NSA) was down 1.2% year on year in September 2026, compared with 5.5% in August 2026.
The level stood at 1,048.1 USD/week.
That is the lowest reading since July 2024.
Over the past ten years it has ranged from −14.3% (May 2021) to 14.5% (Apr 2025), averaging 3.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-40980.AWE.M.NSA.IND-05000000`
- 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-total-private-saginaw-mi-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,048.1 USD/week | −1.2 |
| August 2026 | 1,102.3 USD/week | 5.5 |
| July 2026 | 1,087.6 USD/week | 4.8 |
| June 2026 | 1,079.8 USD/week | 4.2 |
| May 2026 | 1,090.0 USD/week | 8.8 |
| April 2026 | 1,075.2 USD/week | 4.8 |
| March 2026 | 1,031.0 USD/week | 2.0 |
| February 2026 | 1,053.7 USD/week | 3.9 |
| January 2026 | 1,027.7 USD/week | 3.9 |
| December 2025 | 1,042.8 USD/week | 1.9 |
| November 2025 | 1,082.6 USD/week | 8.7 |
| October 2025 | 1,055.2 USD/week | 9.0 |
| September 2025 | 1,061.0 USD/week | 9.7 |
| August 2025 | 1,044.5 USD/week | 11.0 |
| July 2025 | 1,038.1 USD/week | 13.9 |
| June 2025 | 1,036.4 USD/week | 12.0 |
| May 2025 | 1,002.3 USD/week | 11.0 |
| April 2025 | 1,025.6 USD/week | 14.5 |
| March 2025 | 1,010.6 USD/week | 10.8 |
| February 2025 | 1,014.2 USD/week | 13.2 |
| January 2025 | 988.9 USD/week | 6.8 |
| December 2024 | 1,023.8 USD/week | 10.3 |
| November 2024 | 996.0 USD/week | 6.9 |
| October 2024 | 967.9 USD/week | 4.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-40980.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-40980.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```