# Average Hourly Earnings: Total Private — Ann Arbor, MI (NSA)

Average Hourly Earnings: Total Private — Ann Arbor, MI (NSA) was up 12.5% year on year in September 2026, compared with 12.5% in August 2026.
The level stood at 36.44 USD/hour.
That is the highest reading since the series began in January 2007.
Over the past ten years it has ranged from −8.1% (May 2023) to 12.5% (Sep 2026), averaging 2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-11460.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2007-01-01 to 2026-09-01 (237 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-ann-arbor-mi-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 36.44 USD/hour | 12.5 |
| August 2026 | 35.79 USD/hour | 12.5 |
| July 2026 | 35.85 USD/hour | 12.5 |
| June 2026 | 35.26 USD/hour | 11.2 |
| May 2026 | 35.00 USD/hour | 11.7 |
| April 2026 | 34.68 USD/hour | 10.0 |
| March 2026 | 34.81 USD/hour | 10.1 |
| February 2026 | 34.45 USD/hour | 9.1 |
| January 2026 | 33.44 USD/hour | 4.7 |
| December 2025 | 33.81 USD/hour | 4.0 |
| November 2025 | 33.37 USD/hour | 4.5 |
| October 2025 | 32.70 USD/hour | 1.1 |
| September 2025 | 32.38 USD/hour | −0.09 |
| August 2025 | 31.81 USD/hour | 0.7 |
| July 2025 | 31.86 USD/hour | 0.2 |
| June 2025 | 31.70 USD/hour | −0.2 |
| May 2025 | 31.32 USD/hour | −0.8 |
| April 2025 | 31.53 USD/hour | −2.7 |
| March 2025 | 31.63 USD/hour | −2.6 |
| February 2025 | 31.58 USD/hour | −0.7 |
| January 2025 | 31.95 USD/hour | −1.1 |
| December 2024 | 32.50 USD/hour | 1.4 |
| November 2024 | 31.94 USD/hour | 0.8 |
| October 2024 | 32.33 USD/hour | 0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-11460.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-11460.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
