# Average Weekly Earnings: Financial Activities — CT (statewide) (NSA)

Average Weekly Earnings: Financial Activities — CT (statewide) (NSA) was up 15.3% year on year in September 2026, compared with 18.9% in August 2026.
The level stood at 2,592.0 USD/week.
Over the past ten years it has ranged from −8.9% (Nov 2021) to 18.9% (Aug 2026), averaging 4.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CT.AWE.M.NSA.IND-55000000`
- 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-financial-activities-ct-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,592.0 USD/week | 15.3 |
| August 2026 | 2,664.7 USD/week | 18.9 |
| July 2026 | 2,575.6 USD/week | 16.1 |
| June 2026 | 2,510.7 USD/week | 15.1 |
| May 2026 | 2,478.9 USD/week | 14.6 |
| April 2026 | 2,407.9 USD/week | 13.9 |
| March 2026 | 2,507.5 USD/week | 15.5 |
| February 2026 | 2,463.9 USD/week | 13.4 |
| January 2026 | 2,370.4 USD/week | 11.1 |
| December 2025 | 2,331.2 USD/week | 7.3 |
| November 2025 | 2,390.7 USD/week | 13.0 |
| October 2025 | 2,283.0 USD/week | 8.2 |
| September 2025 | 2,248.4 USD/week | 1.6 |
| August 2025 | 2,240.2 USD/week | 5.9 |
| July 2025 | 2,217.8 USD/week | 4.1 |
| June 2025 | 2,182.1 USD/week | −1.2 |
| May 2025 | 2,163.1 USD/week | −1.8 |
| April 2025 | 2,114.8 USD/week | −4.7 |
| March 2025 | 2,170.9 USD/week | −0.4 |
| February 2025 | 2,173.5 USD/week | −1.0 |
| January 2025 | 2,133.8 USD/week | −3.7 |
| December 2024 | 2,171.7 USD/week | −1.4 |
| November 2024 | 2,115.5 USD/week | −2.8 |
| October 2024 | 2,109.7 USD/week | −5.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT.AWE.M.NSA.IND-55000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT.AWE.M.NSA.IND-55000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
