# Average Weekly Earnings: Goods Producing — NC (statewide) (NSA)

Average Weekly Earnings: Goods Producing — NC (statewide) (NSA) was up 2.6% year on year in September 2026, compared with 5.0% in August 2026.
The level stood at 1,370.0 USD/week.
That is the lowest reading since September 2025.
Over the past ten years it has ranged from −2.5% (Sep 2018) to 12.2% (Jun 2022), averaging 4.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NC.AWE.M.NSA.IND-06000000`
- 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-goods-producing-nc-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,370.0 USD/week | 2.6 |
| August 2026 | 1,379.3 USD/week | 5.0 |
| July 2026 | 1,381.2 USD/week | 4.6 |
| June 2026 | 1,371.9 USD/week | 3.9 |
| May 2026 | 1,374.6 USD/week | 6.4 |
| April 2026 | 1,373.5 USD/week | 5.9 |
| March 2026 | 1,367.1 USD/week | 3.9 |
| February 2026 | 1,366.0 USD/week | 6.8 |
| January 2026 | 1,377.5 USD/week | 10.3 |
| December 2025 | 1,354.9 USD/week | 6.2 |
| November 2025 | 1,362.8 USD/week | 5.7 |
| October 2025 | 1,350.8 USD/week | 4.4 |
| September 2025 | 1,334.9 USD/week | 1.9 |
| August 2025 | 1,313.8 USD/week | 1.4 |
| July 2025 | 1,320.1 USD/week | 3.9 |
| June 2025 | 1,320.4 USD/week | 2.5 |
| May 2025 | 1,291.9 USD/week | 3.2 |
| April 2025 | 1,296.4 USD/week | 2.7 |
| March 2025 | 1,316.0 USD/week | 4.5 |
| February 2025 | 1,279.2 USD/week | 5.0 |
| January 2025 | 1,249.1 USD/week | 3.0 |
| December 2024 | 1,276.3 USD/week | 2.2 |
| November 2024 | 1,289.7 USD/week | 3.3 |
| October 2024 | 1,294.4 USD/week | 3.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NC.AWE.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NC.AWE.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```