# Average Weekly Earnings: Total Private — Kahului-Wailuku, HI (NSA)

Average Weekly Earnings: Total Private — Kahului-Wailuku, HI (NSA) was up 4.9% year on year in September 2026, compared with 8.7% in August 2026.
The level stood at 1,347.1 USD/week.
Over the past ten years it has ranged from −3.6% (May 2017) to 24.5% (May 2020), averaging 6.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-27980.AWE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/week
- Coverage: 2011-01-01 to 2026-09-01 (189 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-weekly-earnings-total-private-kahului-wailuku-hi-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,347.1 USD/week | 4.9 |
| August 2026 | 1,389.4 USD/week | 8.7 |
| July 2026 | 1,361.9 USD/week | 4.1 |
| June 2026 | 1,353.8 USD/week | 3.4 |
| May 2026 | 1,332.0 USD/week | 3.3 |
| April 2026 | 1,291.5 USD/week | −2.1 |
| March 2026 | 1,334.4 USD/week | 0.06 |
| February 2026 | 1,327.1 USD/week | −1.4 |
| January 2026 | 1,330.9 USD/week | −1.1 |
| December 2025 | 1,263.0 USD/week | −2.9 |
| November 2025 | 1,296.9 USD/week | 0.6 |
| October 2025 | 1,301.7 USD/week | 1.5 |
| September 2025 | 1,284.2 USD/week | −0.6 |
| August 2025 | 1,278.5 USD/week | 1.7 |
| July 2025 | 1,308.3 USD/week | 4.9 |
| June 2025 | 1,309.9 USD/week | 4.2 |
| May 2025 | 1,288.9 USD/week | 6.6 |
| April 2025 | 1,319.6 USD/week | 10.9 |
| March 2025 | 1,333.6 USD/week | 9.7 |
| February 2025 | 1,346.3 USD/week | 17.3 |
| January 2025 | 1,346.3 USD/week | 18.1 |
| December 2024 | 1,301.0 USD/week | 16.9 |
| November 2024 | 1,289.3 USD/week | 15.1 |
| October 2024 | 1,282.2 USD/week | 14.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-27980.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-27980.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```