# Real GDP: Real GDP by state: Real estate (531) — Connecticut (chained 2017 USD mn)

Real GDP: Real GDP by state: Real estate (531) — Connecticut (chained 2017 USD mn) was 34,682 chained 2017 USD mn in 2025, up 2.8% from 2024.
That is the highest reading since the series began in 1997.
Over the past ten years it has ranged from 30,873 chained 2017 USD mn (2021) to 34,682 chained 2017 USD mn (2025), averaging 32,146 chained 2017 USD mn.

- Source agency: U.S. Bureau of Economic Analysis (Regional Economic Accounts)
- Makrognosis code: `US-CT.GDP.A.NSA.IND-BEA57`
- 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-real-estate-531-connecticut-chained-2017-usd

## Recent data

| Period | Value |
|---|---:|
| 2025 | 34,682 chained 2017 USD mn |
| 2024 | 33,722 chained 2017 USD mn |
| 2023 | 32,098 chained 2017 USD mn |
| 2022 | 32,340 chained 2017 USD mn |
| 2021 | 30,873 chained 2017 USD mn |
| 2020 | 31,314 chained 2017 USD mn |
| 2019 | 30,962 chained 2017 USD mn |
| 2018 | 31,771 chained 2017 USD mn |
| 2017 | 31,209 chained 2017 USD mn |
| 2016 | 31,995 chained 2017 USD mn |
| 2015 | 32,643 chained 2017 USD mn |
| 2014 | 33,618 chained 2017 USD mn |
| 2013 | 33,314 chained 2017 USD mn |
| 2012 | 33,369 chained 2017 USD mn |
| 2011 | 33,025 chained 2017 USD mn |
| 2010 | 32,721 chained 2017 USD mn |
| 2009 | 31,132 chained 2017 USD mn |
| 2008 | 31,273 chained 2017 USD mn |
| 2007 | 28,815 chained 2017 USD mn |
| 2006 | 26,596 chained 2017 USD mn |
| 2005 | 26,861 chained 2017 USD mn |
| 2004 | 26,476 chained 2017 USD mn |
| 2003 | 26,812 chained 2017 USD mn |
| 2002 | 25,865 chained 2017 USD mn |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT.GDP.A.NSA.IND-BEA57"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CT.GDP.A.NSA.IND-BEA57",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```