# Real GDP: Real GDP by state: State and local — Connecticut (chained 2017 USD mn)

Real GDP: Real GDP by state: State and local — Connecticut (chained 2017 USD mn) was 20,282 chained 2017 USD mn in 2025, up 1.0% from 2024.
That is the highest reading since 2019.
Over the past ten years it has ranged from 19,153 chained 2017 USD mn (2021) to 21,750 chained 2017 USD mn (2015), averaging 20,433 chained 2017 USD mn.

- Source agency: U.S. Bureau of Economic Analysis (Regional Economic Accounts)
- Makrognosis code: `US-CT.GDP.A.NSA.IND-BEA86`
- Frequency: annual
- Units: chained 2017 USD mn
- Coverage: 1997-01-01 to 2025-01-01 (29 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/real-gdp-real-gdp-by-state-state-and-local-connecticut-chained-2017-usd-us-ct-gdp-a-nsa-ind-bea86

## Recent data

| Period | Value |
|---|---:|
| 2025 | 20,282 chained 2017 USD mn |
| 2024 | 20,080 chained 2017 USD mn |
| 2023 | 20,156 chained 2017 USD mn |
| 2022 | 19,915 chained 2017 USD mn |
| 2021 | 19,153 chained 2017 USD mn |
| 2020 | 19,230 chained 2017 USD mn |
| 2019 | 20,326 chained 2017 USD mn |
| 2018 | 20,918 chained 2017 USD mn |
| 2017 | 21,472 chained 2017 USD mn |
| 2016 | 21,476 chained 2017 USD mn |
| 2015 | 21,750 chained 2017 USD mn |
| 2014 | 21,697 chained 2017 USD mn |
| 2013 | 21,827 chained 2017 USD mn |
| 2012 | 21,869 chained 2017 USD mn |
| 2011 | 22,597 chained 2017 USD mn |
| 2010 | 22,499 chained 2017 USD mn |
| 2009 | 22,957 chained 2017 USD mn |
| 2008 | 24,012 chained 2017 USD mn |
| 2007 | 23,841 chained 2017 USD mn |
| 2006 | 23,618 chained 2017 USD mn |
| 2005 | 24,132 chained 2017 USD mn |
| 2004 | 23,621 chained 2017 USD mn |
| 2003 | 23,755 chained 2017 USD mn |
| 2002 | 24,115 chained 2017 USD mn |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT.GDP.A.NSA.IND-BEA86"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT.GDP.A.NSA.IND-BEA86",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```