# Real GDP — Connecticut (chained 2017 USD mn (SAAR))

Real GDP — Connecticut (chained 2017 USD mn (SAAR)) was up 2.6% year on year in Q2 2026, compared with 2.7% in Q1 2026.
The level stood at 303,999 chained 2017 USD mn (SAAR).
Over the past ten years it has ranged from −9.7% (Q2 2020) to 9.7% (Q2 2021), averaging 1.2%.

- Source agency: U.S. Bureau of Economic Analysis (Regional Economic Accounts)
- Makrognosis code: `US-CT.GDP.Q.SA`
- Frequency: quarterly
- Units: chained 2017 USD mn (SAAR)
- Coverage: 2005-01-01 to 2026-04-01 (86 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/real-gdp-connecticut-chained-2017-usd-mn-saar

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 303,999 chained 2017 USD mn (SAAR) | 2.6 |
| Q1 2026 | 301,747 chained 2017 USD mn (SAAR) | 2.7 |
| Q4 2025 | 300,382 chained 2017 USD mn (SAAR) | 2.6 |
| Q3 2025 | 299,017 chained 2017 USD mn (SAAR) | 2.6 |
| Q2 2025 | 296,341 chained 2017 USD mn (SAAR) | 2.3 |
| Q1 2025 | 293,678 chained 2017 USD mn (SAAR) | 2.4 |
| Q4 2024 | 292,898 chained 2017 USD mn (SAAR) | 2.0 |
| Q3 2024 | 291,506 chained 2017 USD mn (SAAR) | 2.5 |
| Q2 2024 | 289,639 chained 2017 USD mn (SAAR) | 2.3 |
| Q1 2024 | 286,804 chained 2017 USD mn (SAAR) | 1.4 |
| Q4 2023 | 287,254 chained 2017 USD mn (SAAR) | 1.5 |
| Q3 2023 | 284,400 chained 2017 USD mn (SAAR) | 1.0 |
| Q2 2023 | 283,232 chained 2017 USD mn (SAAR) | 1.2 |
| Q1 2023 | 282,872 chained 2017 USD mn (SAAR) | 1.5 |
| Q4 2022 | 283,016 chained 2017 USD mn (SAAR) | 2.3 |
| Q3 2022 | 281,648 chained 2017 USD mn (SAAR) | 3.0 |
| Q2 2022 | 279,801 chained 2017 USD mn (SAAR) | 3.1 |
| Q1 2022 | 278,827 chained 2017 USD mn (SAAR) | 4.9 |
| Q4 2021 | 276,536 chained 2017 USD mn (SAAR) | 3.0 |
| Q3 2021 | 273,337 chained 2017 USD mn (SAAR) | 2.9 |
| Q2 2021 | 271,415 chained 2017 USD mn (SAAR) | 9.7 |
| Q1 2021 | 265,912 chained 2017 USD mn (SAAR) | −1.3 |
| Q4 2020 | 268,596 chained 2017 USD mn (SAAR) | −3.7 |
| Q3 2020 | 265,628 chained 2017 USD mn (SAAR) | −3.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CT.GDP.Q.SA"

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