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

Real GDP: Real GDP by state: Real estate (531) — Maryland (chained 2017 USD mn) was 63,014 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 54,016 chained 2017 USD mn (2016) to 63,014 chained 2017 USD mn (2025), averaging 57,224 chained 2017 USD mn.

- Source agency: U.S. Bureau of Economic Analysis (Regional Economic Accounts)
- Makrognosis code: `US-MD.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-maryland-chained-2017-usd-mn

## Recent data

| Period | Value |
|---|---:|
| 2025 | 63,014 chained 2017 USD mn |
| 2024 | 61,172 chained 2017 USD mn |
| 2023 | 58,682 chained 2017 USD mn |
| 2022 | 58,697 chained 2017 USD mn |
| 2021 | 56,917 chained 2017 USD mn |
| 2020 | 54,295 chained 2017 USD mn |
| 2019 | 55,317 chained 2017 USD mn |
| 2018 | 57,113 chained 2017 USD mn |
| 2017 | 55,372 chained 2017 USD mn |
| 2016 | 54,016 chained 2017 USD mn |
| 2015 | 54,865 chained 2017 USD mn |
| 2014 | 56,478 chained 2017 USD mn |
| 2013 | 56,440 chained 2017 USD mn |
| 2012 | 54,773 chained 2017 USD mn |
| 2011 | 54,594 chained 2017 USD mn |
| 2010 | 53,227 chained 2017 USD mn |
| 2009 | 49,236 chained 2017 USD mn |
| 2008 | 50,138 chained 2017 USD mn |
| 2007 | 46,638 chained 2017 USD mn |
| 2006 | 43,002 chained 2017 USD mn |
| 2005 | 43,026 chained 2017 USD mn |
| 2004 | 40,726 chained 2017 USD mn |
| 2003 | 39,317 chained 2017 USD mn |
| 2002 | 37,759 chained 2017 USD mn |

## API

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

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