# Real GDP: Real GDP by state: Hospitals (622) — New Jersey (chained 2017 USD mn)

Real GDP: Real GDP by state: Hospitals (622) — New Jersey (chained 2017 USD mn) was 17,545 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 14,454 chained 2017 USD mn (2015) to 17,545 chained 2017 USD mn (2025), averaging 15,776 chained 2017 USD mn.

- Source agency: U.S. Bureau of Economic Analysis (Regional Economic Accounts)
- Makrognosis code: `US-NJ.GDP.A.NSA.IND-BEA72`
- 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-hospitals-622-new-jersey-chained-2017-usd-mn

## Recent data

| Period | Value |
|---|---:|
| 2025 | 17,545 chained 2017 USD mn |
| 2024 | 17,066 chained 2017 USD mn |
| 2023 | 16,298 chained 2017 USD mn |
| 2022 | 16,246 chained 2017 USD mn |
| 2021 | 15,916 chained 2017 USD mn |
| 2020 | 15,989 chained 2017 USD mn |
| 2019 | 15,484 chained 2017 USD mn |
| 2018 | 15,171 chained 2017 USD mn |
| 2017 | 14,750 chained 2017 USD mn |
| 2016 | 14,617 chained 2017 USD mn |
| 2015 | 14,454 chained 2017 USD mn |
| 2014 | 13,888 chained 2017 USD mn |
| 2013 | 13,595 chained 2017 USD mn |
| 2012 | 13,811 chained 2017 USD mn |
| 2011 | 13,583 chained 2017 USD mn |
| 2010 | 13,403 chained 2017 USD mn |
| 2009 | 13,586 chained 2017 USD mn |
| 2008 | 13,426 chained 2017 USD mn |
| 2007 | 12,850 chained 2017 USD mn |
| 2006 | 12,844 chained 2017 USD mn |
| 2005 | 12,632 chained 2017 USD mn |
| 2004 | 12,500 chained 2017 USD mn |
| 2003 | 12,176 chained 2017 USD mn |
| 2002 | 11,712 chained 2017 USD mn |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NJ.GDP.A.NSA.IND-BEA72"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NJ.GDP.A.NSA.IND-BEA72",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```