# Average Hourly Earnings: Total Private — Hilton Head Island-Bluffton-Port Royal, SC (NSA)

Average Hourly Earnings: Total Private — Hilton Head Island-Bluffton-Port Royal, SC (NSA) was up 3.9% year on year in September 2026, compared with 2.1% in August 2026.
The level stood at 31.51 USD/hour.
Over the past ten years it has ranged from −6.9% (Apr 2024) to 17.5% (Jul 2025), averaging 4.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25940.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2011-01-01 to 2026-09-01 (189 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-hilton-head-island-bluffton-port

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 31.51 USD/hour | 3.9 |
| August 2026 | 30.57 USD/hour | 2.1 |
| July 2026 | 30.06 USD/hour | 2.8 |
| June 2026 | 29.70 USD/hour | 4.5 |
| May 2026 | 29.96 USD/hour | 4.1 |
| April 2026 | 30.36 USD/hour | 8.7 |
| March 2026 | 29.65 USD/hour | 7.2 |
| February 2026 | 29.21 USD/hour | 6.8 |
| January 2026 | 29.22 USD/hour | 6.4 |
| December 2025 | 28.63 USD/hour | 4.0 |
| November 2025 | 29.25 USD/hour | 9.4 |
| October 2025 | 30.38 USD/hour | 10.8 |
| September 2025 | 30.32 USD/hour | 15.6 |
| August 2025 | 29.95 USD/hour | 17.3 |
| July 2025 | 29.24 USD/hour | 17.5 |
| June 2025 | 28.42 USD/hour | 10.5 |
| May 2025 | 28.78 USD/hour | 12.4 |
| April 2025 | 27.93 USD/hour | 8.2 |
| March 2025 | 27.65 USD/hour | 6.8 |
| February 2025 | 27.36 USD/hour | 7.4 |
| January 2025 | 27.46 USD/hour | 7.7 |
| December 2024 | 27.52 USD/hour | 8.1 |
| November 2024 | 26.73 USD/hour | 4.7 |
| October 2024 | 27.41 USD/hour | 2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-25940.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-25940.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```