# Average Weekly Earnings: Total Private — SC (statewide) (NSA)

Average Weekly Earnings: Total Private — SC (statewide) (NSA) was up 2.3% year on year in September 2026, compared with 5.4% in August 2026.
The level stood at 1,136.4 USD/week.
That is the lowest reading since October 2024.
Over the past ten years it has ranged from −0.9% (Feb 2022) to 9.8% (Sep 2022), averaging 4.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-SC.AWE.M.NSA.IND-05000000`
- 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-total-private-sc-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,136.4 USD/week | 2.3 |
| August 2026 | 1,152.8 USD/week | 5.4 |
| July 2026 | 1,128.1 USD/week | 4.5 |
| June 2026 | 1,116.4 USD/week | 3.2 |
| May 2026 | 1,124.8 USD/week | 6.0 |
| April 2026 | 1,127.2 USD/week | 5.6 |
| March 2026 | 1,133.6 USD/week | 4.1 |
| February 2026 | 1,151.6 USD/week | 6.0 |
| January 2026 | 1,133.3 USD/week | 7.8 |
| December 2025 | 1,137.9 USD/week | 6.4 |
| November 2025 | 1,150.6 USD/week | 8.1 |
| October 2025 | 1,112.1 USD/week | 5.3 |
| September 2025 | 1,110.9 USD/week | 5.1 |
| August 2025 | 1,093.4 USD/week | 5.9 |
| July 2025 | 1,079.9 USD/week | 5.7 |
| June 2025 | 1,081.3 USD/week | 4.2 |
| May 2025 | 1,061.2 USD/week | 3.6 |
| April 2025 | 1,067.1 USD/week | 4.7 |
| March 2025 | 1,088.7 USD/week | 6.5 |
| February 2025 | 1,086.7 USD/week | 6.8 |
| January 2025 | 1,051.3 USD/week | 3.8 |
| December 2024 | 1,069.4 USD/week | 4.6 |
| November 2024 | 1,064.8 USD/week | 2.8 |
| October 2024 | 1,056.4 USD/week | 2.1 |

## API

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

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