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

Average Weekly Earnings: Total Private — Hilton Head Island-Bluffton-Port Royal, SC (NSA) was up 8.7% year on year in September 2026, compared with 6.1% in August 2026.
The level stood at 1,011.5 USD/week.
Over the past ten years it has ranged from −9.3% (Apr 2024) to 18.9% (Aug 2025), averaging 3.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25940.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-hilton-head-island-bluffton-port

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,011.5 USD/week | 8.7 |
| August 2026 | 969.1 USD/week | 6.1 |
| July 2026 | 964.9 USD/week | 7.1 |
| June 2026 | 941.5 USD/week | 7.2 |
| May 2026 | 928.8 USD/week | 6.9 |
| April 2026 | 953.3 USD/week | 8.4 |
| March 2026 | 945.8 USD/week | 8.3 |
| February 2026 | 905.5 USD/week | 2.8 |
| January 2026 | 900.0 USD/week | 6.1 |
| December 2025 | 893.3 USD/week | 7.5 |
| November 2025 | 909.7 USD/week | 10.1 |
| October 2025 | 932.7 USD/week | 11.9 |
| September 2025 | 930.8 USD/week | 13.8 |
| August 2025 | 913.5 USD/week | 18.9 |
| July 2025 | 900.6 USD/week | 18.7 |
| June 2025 | 878.2 USD/week | 12.0 |
| May 2025 | 869.2 USD/week | 12.4 |
| April 2025 | 879.8 USD/week | 12.8 |
| March 2025 | 873.7 USD/week | 12.9 |
| February 2025 | 881.0 USD/week | 16.8 |
| January 2025 | 848.5 USD/week | 12.8 |
| December 2024 | 831.1 USD/week | 10.3 |
| November 2024 | 826.0 USD/week | 7.2 |
| October 2024 | 833.3 USD/week | 2.6 |

## API

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

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