# Average Weekly Earnings: Total Private — Staunton-Stuarts Draft, VA (NSA)

Average Weekly Earnings: Total Private — Staunton-Stuarts Draft, VA (NSA) was down 0.7% year on year in September 2026, compared with −2.1% in August 2026.
The level stood at 1,012.8 USD/week.
Over the past ten years it has ranged from −9.6% (Feb 2021) to 26.8% (May 2018), averaging 5.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-44420.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-staunton-stuarts-draft-va-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,012.8 USD/week | −0.7 |
| August 2026 | 1,018.4 USD/week | −2.1 |
| July 2026 | 990.8 USD/week | −1.8 |
| June 2026 | 983.1 USD/week | −2.9 |
| May 2026 | 1,002.5 USD/week | −1.3 |
| April 2026 | 1,018.0 USD/week | 2.0 |
| March 2026 | 1,061.8 USD/week | 5.0 |
| February 2026 | 1,043.0 USD/week | 5.9 |
| January 2026 | 991.9 USD/week | −2.4 |
| December 2025 | 1,030.2 USD/week | 0.5 |
| November 2025 | 1,063.9 USD/week | 7.5 |
| October 2025 | 1,037.5 USD/week | 4.0 |
| September 2025 | 1,019.9 USD/week | 2.4 |
| August 2025 | 1,040.0 USD/week | 3.6 |
| July 2025 | 1,009.0 USD/week | −0.2 |
| June 2025 | 1,012.0 USD/week | 4.7 |
| May 2025 | 1,015.4 USD/week | 4.3 |
| April 2025 | 998.4 USD/week | −0.4 |
| March 2025 | 1,011.7 USD/week | 5.0 |
| February 2025 | 985.1 USD/week | 3.8 |
| January 2025 | 1,016.0 USD/week | 7.1 |
| December 2024 | 1,024.9 USD/week | 5.6 |
| November 2024 | 989.7 USD/week | 4.3 |
| October 2024 | 997.6 USD/week | 2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-44420.AWE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-44420.AWE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
