# Average Weekly Earnings: Private Service Providing — VT (statewide) (NSA)

Average Weekly Earnings: Private Service Providing — VT (statewide) (NSA) was up 1.3% year on year in September 2026, compared with 1.4% in August 2026.
The level stood at 1,177.3 USD/week.
Over the past ten years it has ranged from −1.8% (Dec 2016) to 11.5% (Apr 2020), averaging 4.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-VT.AWE.M.NSA.IND-08000000`
- 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-private-service-providing-vt-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,177.3 USD/week | 1.3 |
| August 2026 | 1,167.7 USD/week | 1.4 |
| July 2026 | 1,162.8 USD/week | 0.3 |
| June 2026 | 1,152.1 USD/week | −0.3 |
| May 2026 | 1,163.8 USD/week | 0.1 |
| April 2026 | 1,172.3 USD/week | 1.2 |
| March 2026 | 1,180.4 USD/week | 0.8 |
| February 2026 | 1,184.1 USD/week | 1.3 |
| January 2026 | 1,170.7 USD/week | 0.4 |
| December 2025 | 1,159.0 USD/week | −0.8 |
| November 2025 | 1,181.1 USD/week | 1.8 |
| October 2025 | 1,173.1 USD/week | 1.9 |
| September 2025 | 1,162.4 USD/week | 1.5 |
| August 2025 | 1,151.4 USD/week | 2.8 |
| July 2025 | 1,159.0 USD/week | 4.8 |
| June 2025 | 1,155.7 USD/week | 3.9 |
| May 2025 | 1,162.1 USD/week | 6.8 |
| April 2025 | 1,157.8 USD/week | 6.4 |
| March 2025 | 1,171.2 USD/week | 7.5 |
| February 2025 | 1,169.1 USD/week | 8.4 |
| January 2025 | 1,166.1 USD/week | 8.4 |
| December 2024 | 1,168.6 USD/week | 8.4 |
| November 2024 | 1,159.8 USD/week | 8.4 |
| October 2024 | 1,151.0 USD/week | 6.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-VT.AWE.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-VT.AWE.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```