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

Average Weekly Earnings: Total Private — Flint, MI (NSA) was down 3.9% year on year in September 2026, compared with 0.01% in August 2026.
The level stood at 1,004.1 USD/week.
That is the lowest reading since September 2020.
Over the past ten years it has ranged from −7.6% (Apr 2020) to 13.1% (Nov 2022), averaging 2.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-22420.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-flint-mi-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,004.1 USD/week | −3.9 |
| August 2026 | 1,012.0 USD/week | 0.01 |
| July 2026 | 1,031.4 USD/week | −1.0 |
| June 2026 | 1,065.5 USD/week | 3.1 |
| May 2026 | 1,033.3 USD/week | 1.7 |
| April 2026 | 1,066.3 USD/week | 7.6 |
| March 2026 | 1,053.2 USD/week | 4.1 |
| February 2026 | 1,017.6 USD/week | 5.0 |
| January 2026 | 970.7 USD/week | −3.5 |
| December 2025 | 997.3 USD/week | −2.6 |
| November 2025 | 1,023.8 USD/week | 1.9 |
| October 2025 | 1,010.0 USD/week | 0.6 |
| September 2025 | 1,045.0 USD/week | 2.0 |
| August 2025 | 1,011.9 USD/week | 2.7 |
| July 2025 | 1,041.6 USD/week | 2.5 |
| June 2025 | 1,033.2 USD/week | 0.6 |
| May 2025 | 1,016.0 USD/week | 2.8 |
| April 2025 | 990.6 USD/week | 0.09 |
| March 2025 | 1,011.9 USD/week | 1.8 |
| February 2025 | 969.6 USD/week | −0.2 |
| January 2025 | 1,005.8 USD/week | 1.8 |
| December 2024 | 1,024.2 USD/week | 4.6 |
| November 2024 | 1,004.2 USD/week | 4.4 |
| October 2024 | 1,003.7 USD/week | 3.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-22420.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-22420.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```