# Average Hourly Earnings: Leisure and Hospitality — MD (statewide) (NSA)

Average Hourly Earnings: Leisure and Hospitality — MD (statewide) (NSA) was up 4.1% year on year in September 2026, compared with 1.9% in August 2026.
The level stood at 22.92 USD/hour.
That is the highest reading since December 2024.
Over the past ten years it has ranged from −6.5% (Apr 2021) to 13.8% (Apr 2020), averaging 4.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MD.AHE.M.NSA.IND-70000000`
- 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-leisure-and-hospitality-md-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 22.92 USD/hour | 4.1 |
| August 2026 | 22.39 USD/hour | 1.9 |
| July 2026 | 22.32 USD/hour | 1.6 |
| June 2026 | 22.41 USD/hour | 2.6 |
| May 2026 | 22.69 USD/hour | 1.2 |
| April 2026 | 22.30 USD/hour | −0.04 |
| March 2026 | 22.71 USD/hour | 0.4 |
| February 2026 | 22.68 USD/hour | −0.4 |
| January 2026 | 22.55 USD/hour | −1.1 |
| December 2025 | 22.89 USD/hour | −1.3 |
| November 2025 | 22.85 USD/hour | 1.2 |
| October 2025 | 22.54 USD/hour | 0.4 |
| September 2025 | 22.02 USD/hour | −0.4 |
| August 2025 | 21.97 USD/hour | 3.0 |
| July 2025 | 21.97 USD/hour | 2.7 |
| June 2025 | 21.84 USD/hour | 0.2 |
| May 2025 | 22.42 USD/hour | 2.2 |
| April 2025 | 22.31 USD/hour | 0.4 |
| March 2025 | 22.61 USD/hour | 1.7 |
| February 2025 | 22.77 USD/hour | 2.3 |
| January 2025 | 22.79 USD/hour | 3.1 |
| December 2024 | 23.20 USD/hour | 6.9 |
| November 2024 | 22.59 USD/hour | 4.6 |
| October 2024 | 22.45 USD/hour | 3.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-MD.AHE.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-MD.AHE.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
