# Real GDP: Real GDP by state: Chemical manufacturing (325) — Indiana (chained 2017 USD mn)

Real GDP: Real GDP by state: Chemical manufacturing (325) — Indiana (chained 2017 USD mn) was 33,229 chained 2017 USD mn in 2025, up 13.0% from 2024.
That is the highest reading since 2008.
Over the past ten years it has ranged from 19,780 chained 2017 USD mn (2015) to 33,229 chained 2017 USD mn (2025), averaging 23,861 chained 2017 USD mn.

- Source agency: U.S. Bureau of Economic Analysis (Regional Economic Accounts)
- Makrognosis code: `US-IN.GDP.A.NSA.IND-BEA32`
- 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-chemical-manufacturing-325-indiana-chained

## Recent data

| Period | Value |
|---|---:|
| 2025 | 33,229 chained 2017 USD mn |
| 2024 | 29,397 chained 2017 USD mn |
| 2023 | 24,024 chained 2017 USD mn |
| 2022 | 22,876 chained 2017 USD mn |
| 2021 | 24,835 chained 2017 USD mn |
| 2020 | 22,601 chained 2017 USD mn |
| 2019 | 21,454 chained 2017 USD mn |
| 2018 | 22,341 chained 2017 USD mn |
| 2017 | 21,728 chained 2017 USD mn |
| 2016 | 20,208 chained 2017 USD mn |
| 2015 | 19,780 chained 2017 USD mn |
| 2014 | 28,138 chained 2017 USD mn |
| 2013 | 29,240 chained 2017 USD mn |
| 2012 | 24,560 chained 2017 USD mn |
| 2011 | 27,945 chained 2017 USD mn |
| 2010 | 30,409 chained 2017 USD mn |
| 2009 | 31,290 chained 2017 USD mn |
| 2008 | 33,469 chained 2017 USD mn |
| 2007 | 28,138 chained 2017 USD mn |
| 2006 | 21,554 chained 2017 USD mn |
| 2005 | 21,291 chained 2017 USD mn |
| 2004 | 23,800 chained 2017 USD mn |
| 2003 | 19,144 chained 2017 USD mn |
| 2002 | 19,080 chained 2017 USD mn |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-IN.GDP.A.NSA.IND-BEA32"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-IN.GDP.A.NSA.IND-BEA32",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```