# Average Weekly Earnings: Construction — ND (statewide) (NSA)

Average Weekly Earnings: Construction — ND (statewide) (NSA) was down 7.9% year on year in September 2026, compared with 1.9% in August 2026.
The level stood at 1,604.4 USD/week.
That is the lowest reading since May 2025.
Over the past ten years it has ranged from −8.2% (May 2025) to 23.3% (Dec 2023), averaging 3.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-ND.AWE.M.NSA.IND-20000000`
- 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-construction-nd-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,604.4 USD/week | −7.9 |
| August 2026 | 1,762.6 USD/week | 1.9 |
| July 2026 | 1,749.5 USD/week | 3.9 |
| June 2026 | 1,697.1 USD/week | 2.4 |
| May 2026 | 1,686.7 USD/week | 16.6 |
| April 2026 | 1,555.9 USD/week | 1.4 |
| March 2026 | 1,545.2 USD/week | 5.6 |
| February 2026 | 1,555.1 USD/week | 14.4 |
| January 2026 | 1,499.0 USD/week | 13.0 |
| December 2025 | 1,522.7 USD/week | 5.6 |
| November 2025 | 1,576.3 USD/week | 6.0 |
| October 2025 | 1,672.0 USD/week | 4.1 |
| September 2025 | 1,742.7 USD/week | 8.3 |
| August 2025 | 1,729.5 USD/week | 11.3 |
| July 2025 | 1,683.1 USD/week | 3.1 |
| June 2025 | 1,657.7 USD/week | 4.8 |
| May 2025 | 1,446.2 USD/week | −8.2 |
| April 2025 | 1,533.8 USD/week | 5.7 |
| March 2025 | 1,463.5 USD/week | 3.8 |
| February 2025 | 1,359.3 USD/week | −3.7 |
| January 2025 | 1,326.6 USD/week | −3.2 |
| December 2024 | 1,441.9 USD/week | −7.6 |
| November 2024 | 1,486.5 USD/week | −4.5 |
| October 2024 | 1,606.7 USD/week | −2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-ND.AWE.M.NSA.IND-20000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-ND.AWE.M.NSA.IND-20000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```