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

Average Weekly Earnings: Leisure and Hospitality — MD (statewide) (NSA) was up 9.1% year on year in September 2026, compared with 5.6% in August 2026.
The level stood at 593.6 USD/week.
That is the highest reading since February 2022.
Over the past ten years it has ranged from −5.0% (Nov 2016) to 12.7% (Dec 2021), averaging 3.5%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 593.6 USD/week | 9.1 |
| August 2026 | 577.7 USD/week | 5.6 |
| July 2026 | 566.9 USD/week | 2.4 |
| June 2026 | 567.0 USD/week | 3.8 |
| May 2026 | 565.0 USD/week | 0.4 |
| April 2026 | 557.5 USD/week | 1.6 |
| March 2026 | 567.8 USD/week | 0.8 |
| February 2026 | 567.0 USD/week | 2.5 |
| January 2026 | 536.7 USD/week | 1.5 |
| December 2025 | 558.5 USD/week | −0.9 |
| November 2025 | 569.0 USD/week | 3.2 |
| October 2025 | 552.2 USD/week | 0.8 |
| September 2025 | 543.9 USD/week | 2.1 |
| August 2025 | 547.0 USD/week | 5.1 |
| July 2025 | 553.6 USD/week | 5.2 |
| June 2025 | 546.0 USD/week | 1.8 |
| May 2025 | 562.7 USD/week | 5.6 |
| April 2025 | 548.8 USD/week | 3.7 |
| March 2025 | 563.0 USD/week | 4.7 |
| February 2025 | 553.3 USD/week | 1.5 |
| January 2025 | 528.7 USD/week | 0.5 |
| December 2024 | 563.8 USD/week | 3.5 |
| November 2024 | 551.2 USD/week | 1.7 |
| October 2024 | 547.8 USD/week | 0.6 |

## API

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

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