# Average Hourly Earnings: Other Services — MN (statewide) (NSA)

Average Hourly Earnings: Other Services — MN (statewide) (NSA) was up 22.4% year on year in September 2026, compared with 22.4% in August 2026.
The level stood at 37.72 USD/hour.
That is the highest reading since the series began in January 2007.
Over the past ten years it has ranged from −6.9% (Apr 2018) to 22.4% (Sep 2026), averaging 4.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MN.AHE.M.NSA.IND-80000000`
- 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-other-services-mn-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 37.72 USD/hour | 22.4 |
| August 2026 | 36.62 USD/hour | 22.4 |
| July 2026 | 36.79 USD/hour | 21.3 |
| June 2026 | 35.02 USD/hour | 17.1 |
| May 2026 | 34.71 USD/hour | 15.2 |
| April 2026 | 34.78 USD/hour | 16.1 |
| March 2026 | 34.48 USD/hour | 16.7 |
| February 2026 | 33.52 USD/hour | 14.8 |
| January 2026 | 32.88 USD/hour | 11.6 |
| December 2025 | 32.30 USD/hour | 10.7 |
| November 2025 | 32.03 USD/hour | 10.6 |
| October 2025 | 30.43 USD/hour | 4.3 |
| September 2025 | 30.81 USD/hour | 5.7 |
| August 2025 | 29.92 USD/hour | 6.4 |
| July 2025 | 30.34 USD/hour | 11.2 |
| June 2025 | 29.91 USD/hour | 6.0 |
| May 2025 | 30.13 USD/hour | 4.5 |
| April 2025 | 29.96 USD/hour | 3.5 |
| March 2025 | 29.54 USD/hour | 2.7 |
| February 2025 | 29.20 USD/hour | 2.8 |
| January 2025 | 29.45 USD/hour | 2.3 |
| December 2024 | 29.19 USD/hour | 1.6 |
| November 2024 | 28.96 USD/hour | 1.9 |
| October 2024 | 29.17 USD/hour | 1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MN.AHE.M.NSA.IND-80000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MN.AHE.M.NSA.IND-80000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```