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Data

Cardiologists per million people

See all data and research on:
Cardiovascular Diseases

About this data

Cardiologists per million people
Number of cardiologists per million people in the population.
Source
European Society of Cardiology (2025) – with minor processing by Our World in Data
Last updated
October 21, 2025
Next expected update
October 2026
Date range
2006–2023
Unit
per million people

Sources and processing

This data is based on the following sources

European Society of Cardiology – European Society of Cardiology (ESC) Cardiovascular Statistics

The European Heart Health Institute coordinates the European Society of Cardiology (ESC) Cardiovascular Statistics and Atlas projects, aiming to support evidence-based policy and practice in European cardiology. The project seeks to understand health systems across Europe, identify cost-effective practices, and facilitate their widespread use. It's a significant initiative that tries to bring detailed, accurate health data to the forefront of policy and practice in cardiology across Europe.

The ESC Atlas of Cardiology is a key initiative, gathering data on healthcare systems from ESC member countries. It provides a range of information, from geographical and demographic data to specifics about healthcare organization and financing. Notably, it features a detailed section on cardiology, offering insights into cardiac care services, resources, and reimbursement methods where available.

Retrieved on
October 21, 2025
Retrieved from
https://eatlas.escardio.org/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Downloaded from the ESC Atlas of Cardiology website eatlas.escardio.org. Accessed on: 2025-10-21.

The European Heart Health Institute coordinates the European Society of Cardiology (ESC) Cardiovascular Statistics and Atlas projects, aiming to support evidence-based policy and practice in European cardiology. The project seeks to understand health systems across Europe, identify cost-effective practices, and facilitate their widespread use. It's a significant initiative that tries to bring detailed, accurate health data to the forefront of policy and practice in cardiology across Europe.

The ESC Atlas of Cardiology is a key initiative, gathering data on healthcare systems from ESC member countries. It provides a range of information, from geographical and demographic data to specifics about healthcare organization and financing. Notably, it features a detailed section on cardiology, offering insights into cardiac care services, resources, and reimbursement methods where available.

Retrieved on
October 21, 2025
Retrieved from
https://eatlas.escardio.org/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Downloaded from the ESC Atlas of Cardiology website eatlas.escardio.org. Accessed on: 2025-10-21.

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Cardiologists per million people”, part of the following publication: Saloni Dattani, Veronika Samborska, Hannah Ritchie, and Max Roser (2023) - “Cardiovascular Diseases”. Data adapted from European Society of Cardiology. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/total-cardiologists-per-million-people.html [online resource] (archived on March 4, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

European Society of Cardiology (2025) – with minor processing by Our World in Data

Full citation

European Society of Cardiology (2025) – with minor processing by Our World in Data. “Cardiologists per million people” [dataset]. European Society of Cardiology, “European Society of Cardiology (ESC) Cardiovascular Statistics” [original data]. Retrieved April 7, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/total-cardiologists-per-million-people.html (archived on March 4, 2026).

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Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/total-cardiologists-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/total-cardiologists-per-million-people.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/total-cardiologists-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/total-cardiologists-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/total-cardiologists-per-million-people.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/total-cardiologists-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/total-cardiologists-per-million-people.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/total-cardiologists-per-million-people.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear