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

Average Weekly Earnings: Leisure and Hospitality — NM (statewide) (NSA) was down 5.6% year on year in September 2026, compared with 2.2% in August 2026.
The level stood at 517.4 USD/week.
That is the lowest reading since December 2020.
Over the past ten years it has ranged from −5.6% (Sep 2017) to 21.5% (Jan 2023), averaging 4.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NM.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-nm-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 517.4 USD/week | −5.6 |
| August 2026 | 539.3 USD/week | 2.2 |
| July 2026 | 532.3 USD/week | 1.7 |
| June 2026 | 522.5 USD/week | −1.8 |
| May 2026 | 531.9 USD/week | 1.4 |
| April 2026 | 528.1 USD/week | 0.4 |
| March 2026 | 551.5 USD/week | 3.4 |
| February 2026 | 548.0 USD/week | 4.0 |
| January 2026 | 544.2 USD/week | 8.1 |
| December 2025 | 547.1 USD/week | 4.4 |
| November 2025 | 534.3 USD/week | 5.4 |
| October 2025 | 547.5 USD/week | 3.5 |
| September 2025 | 547.8 USD/week | 7.0 |
| August 2025 | 527.6 USD/week | 4.4 |
| July 2025 | 523.4 USD/week | 1.2 |
| June 2025 | 532.2 USD/week | 1.0 |
| May 2025 | 524.7 USD/week | 0.3 |
| April 2025 | 526.1 USD/week | 0.6 |
| March 2025 | 533.1 USD/week | −0.2 |
| February 2025 | 526.8 USD/week | −0.9 |
| January 2025 | 503.5 USD/week | −2.9 |
| December 2024 | 523.9 USD/week | 1.8 |
| November 2024 | 506.9 USD/week | 0.8 |
| October 2024 | 529.2 USD/week | −0.2 |

## API

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

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