# Average Weekly Earnings: Other Services — CT (statewide) (NSA)

Average Weekly Earnings: Other Services — CT (statewide) (NSA) was up 18.2% year on year in September 2026, compared with 17.3% in August 2026.
The level stood at 972.0 USD/week.
That is the highest reading since the series began in January 2007.
Over the past ten years it has ranged from −14.1% (Sep 2023) to 18.2% (Sep 2026), averaging 2.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CT.AWE.M.NSA.IND-80000000`
- 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-other-services-ct-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 972.0 USD/week | 18.2 |
| August 2026 | 955.2 USD/week | 17.3 |
| July 2026 | 906.5 USD/week | 10.5 |
| June 2026 | 863.5 USD/week | 5.7 |
| May 2026 | 869.9 USD/week | 3.8 |
| April 2026 | 877.0 USD/week | 2.3 |
| March 2026 | 874.7 USD/week | 1.3 |
| February 2026 | 878.0 USD/week | 2.4 |
| January 2026 | 878.9 USD/week | 3.8 |
| December 2025 | 825.7 USD/week | −5.2 |
| November 2025 | 831.9 USD/week | −2.3 |
| October 2025 | 808.0 USD/week | −6.9 |
| September 2025 | 822.7 USD/week | −6.0 |
| August 2025 | 814.4 USD/week | −6.6 |
| July 2025 | 820.8 USD/week | −8.0 |
| June 2025 | 816.8 USD/week | −11.8 |
| May 2025 | 838.0 USD/week | −8.9 |
| April 2025 | 857.5 USD/week | −8.2 |
| March 2025 | 863.1 USD/week | −7.0 |
| February 2025 | 857.5 USD/week | −6.8 |
| January 2025 | 846.4 USD/week | −7.7 |
| December 2024 | 871.1 USD/week | −2.5 |
| November 2024 | 851.1 USD/week | −5.2 |
| October 2024 | 867.9 USD/week | −3.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT.AWE.M.NSA.IND-80000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT.AWE.M.NSA.IND-80000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```