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

Average Weekly Earnings: Private Service Providing — CT (statewide) (NSA) was up 2.2% year on year in September 2026, compared with 3.8% in August 2026.
The level stood at 1,313.4 USD/week.
Over the past ten years it has ranged from −4.2% (Apr 2021) to 10.6% (Jun 2024), averaging 3.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CT.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-ct-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,313.4 USD/week | 2.2 |
| August 2026 | 1,315.4 USD/week | 3.8 |
| July 2026 | 1,285.1 USD/week | 2.0 |
| June 2026 | 1,288.3 USD/week | 1.6 |
| May 2026 | 1,293.8 USD/week | 2.8 |
| April 2026 | 1,311.9 USD/week | 3.9 |
| March 2026 | 1,326.6 USD/week | 4.7 |
| February 2026 | 1,318.9 USD/week | 3.7 |
| January 2026 | 1,302.5 USD/week | 4.5 |
| December 2025 | 1,301.8 USD/week | 2.7 |
| November 2025 | 1,316.0 USD/week | 6.2 |
| October 2025 | 1,284.8 USD/week | 3.1 |
| September 2025 | 1,285.7 USD/week | 2.3 |
| August 2025 | 1,267.1 USD/week | 3.7 |
| July 2025 | 1,259.3 USD/week | 4.8 |
| June 2025 | 1,267.8 USD/week | 3.5 |
| May 2025 | 1,258.4 USD/week | 3.4 |
| April 2025 | 1,263.3 USD/week | 3.1 |
| March 2025 | 1,266.8 USD/week | 5.2 |
| February 2025 | 1,272.4 USD/week | 6.7 |
| January 2025 | 1,246.8 USD/week | 5.4 |
| December 2024 | 1,267.1 USD/week | 6.4 |
| November 2024 | 1,238.9 USD/week | 5.4 |
| October 2024 | 1,246.3 USD/week | 4.1 |

## API

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

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