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Data

Psychiatrists per 100,000 people

See all data and research on:
Mental Health

What you should know about this indicator

How is this data described by its producer?

The total number of local and national psychiatrists in the country (across governmental and non-governmental mental health facilities, including private practice). Converted to the WHO standard population and multiplied with 100,000.

Source
WHO Mental Health Atlas 2020 via UNICEF (2023) – with major processing by Our World in Data
Last updated
March 21, 2024
Next expected update
March 2027
Date range
2015–2020
Unit
per 100,000 population

Sources and processing

This data is based on the following sources

WHO Mental Health Atlas 2020 via UNICEF – Countdown for Global Mental Health 2030

The Global Mental Health 2030 Dashboard Dataset is an interactive, comprehensive platform developed in collaboration with leading health organizations including Global Mental Health at Harvard, WHO, UNICEF, GMHPN, and UnitedGMH. Aimed at highlighting the importance of mental health globally, with a special focus on young people, this dataset supports the Sustainable Development Agenda's goal to place mental health on the global stage. It offers a rich source of data on mental health determinants, the burden of mental health conditions, policies, access to care, and overall wellbeing. The dataset is structured to facilitate understanding and action across four main areas: mental health determinants, demand for mental health care, strength of mental health systems, and mental health wellbeing. It features quantitative and qualitative data, including country-specific information and identifies data gaps, making it a crucial tool for policymakers, researchers, and advocates. This resource aims to improve mental health care quality and accessibility, particularly for the youth, by informing policy, planning, and discussions to address comprehensive mental health needs effectively.

Retrieved on
March 21, 2024
Retrieved from
https://data.unicef.org/resources/countdown-for-global-mental-health-2030-dashboard/
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.
Countdown for Global Mental Health 2030 (UNICEF, 2023)

The Global Mental Health 2030 Dashboard Dataset is an interactive, comprehensive platform developed in collaboration with leading health organizations including Global Mental Health at Harvard, WHO, UNICEF, GMHPN, and UnitedGMH. Aimed at highlighting the importance of mental health globally, with a special focus on young people, this dataset supports the Sustainable Development Agenda's goal to place mental health on the global stage. It offers a rich source of data on mental health determinants, the burden of mental health conditions, policies, access to care, and overall wellbeing. The dataset is structured to facilitate understanding and action across four main areas: mental health determinants, demand for mental health care, strength of mental health systems, and mental health wellbeing. It features quantitative and qualitative data, including country-specific information and identifies data gaps, making it a crucial tool for policymakers, researchers, and advocates. This resource aims to improve mental health care quality and accessibility, particularly for the youth, by informing policy, planning, and discussions to address comprehensive mental health needs effectively.

Retrieved on
March 21, 2024
Retrieved from
https://data.unicef.org/resources/countdown-for-global-mental-health-2030-dashboard/
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.
Countdown for Global Mental Health 2030 (UNICEF, 2023)

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.

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  • 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: Psychiatrists per 100,000 people”, part of the following publication: Saloni Dattani, Lucas Rodés-Guirao, Hannah Ritchie, and Max Roser (2023) - “Mental Health”. Data adapted from WHO Mental Health Atlas 2020 via UNICEF. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/psychiatrists-working-in-the-mental-health-sector.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:

WHO Mental Health Atlas 2020 via UNICEF (2023) – with major processing by Our World in Data

Full citation

WHO Mental Health Atlas 2020 via UNICEF (2023) – with major processing by Our World in Data. “Psychiatrists per 100,000 people” [dataset]. WHO Mental Health Atlas 2020 via UNICEF, “Countdown for Global Mental Health 2030” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/psychiatrists-working-in-the-mental-health-sector.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/psychiatrists-working-in-the-mental-health-sector.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/psychiatrists-working-in-the-mental-health-sector.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/psychiatrists-working-in-the-mental-health-sector.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/psychiatrists-working-in-the-mental-health-sector.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/psychiatrists-working-in-the-mental-health-sector.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/psychiatrists-working-in-the-mental-health-sector.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/psychiatrists-working-in-the-mental-health-sector.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/psychiatrists-working-in-the-mental-health-sector.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear