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

Real GDP: Real GDP by state: Real estate (531) — Pennsylvania (chained 2017 USD mn) was 96,492 chained 2017 USD mn in 2025, up 3.0% from 2024.
That is the highest reading since the series began in 1997.
Over the past ten years it has ranged from 85,312 chained 2017 USD mn (2019) to 96,492 chained 2017 USD mn (2025), averaging 89,024 chained 2017 USD mn.

- Source agency: U.S. Bureau of Economic Analysis (Regional Economic Accounts)
- Makrognosis code: `US-PA.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-pennsylvania-chained-2017

## Recent data

| Period | Value |
|---|---:|
| 2025 | 96,492 chained 2017 USD mn |
| 2024 | 93,706 chained 2017 USD mn |
| 2023 | 91,037 chained 2017 USD mn |
| 2022 | 90,643 chained 2017 USD mn |
| 2021 | 86,752 chained 2017 USD mn |
| 2020 | 85,717 chained 2017 USD mn |
| 2019 | 85,312 chained 2017 USD mn |
| 2018 | 88,304 chained 2017 USD mn |
| 2017 | 87,142 chained 2017 USD mn |
| 2016 | 86,244 chained 2017 USD mn |
| 2015 | 87,909 chained 2017 USD mn |
| 2014 | 88,394 chained 2017 USD mn |
| 2013 | 88,518 chained 2017 USD mn |
| 2012 | 87,176 chained 2017 USD mn |
| 2011 | 85,623 chained 2017 USD mn |
| 2010 | 83,643 chained 2017 USD mn |
| 2009 | 79,528 chained 2017 USD mn |
| 2008 | 78,774 chained 2017 USD mn |
| 2007 | 76,402 chained 2017 USD mn |
| 2006 | 70,521 chained 2017 USD mn |
| 2005 | 71,737 chained 2017 USD mn |
| 2004 | 67,722 chained 2017 USD mn |
| 2003 | 66,609 chained 2017 USD mn |
| 2002 | 64,447 chained 2017 USD mn |

## API

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

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