Data

Share who say it's extremely important for the national government to fund research on anxiety/depression

About this data

Source
Wellcome and Gallup (2021)processed by Our World in Data
Last updated
April 19, 2023
Date range
2020–2020
Unit
%

Sources and processing

Wellcome and Gallup – Wellcome Global Monitor 2020 - Mental health

Wellcome conducted the first Global Monitor – the largest-ever study of public attitudes to science and health – in 2018. The first wave covered topics such as whether people trust science, scientists and information about health, and attitudes towards the safety and efficacy of vaccines – a focus which has since proved incredibly forward-thinking.

In 2020, the Global Monitor's central focus was science's role in mental health.

The datasets and crosstabs cover the mental health sections of the WGM Survey 2020 conducted in 113 countries and territories worldwide on mental health views and experiences. The rest of the survey data will be published in subsequent data releases.

Relevant links:

Note 1: Data for answers where the demographic group had less than 100 participants are filtered out.

Note 2: Empty answers have been filtered out. Empty answers may appear because the question was not applicable to the respondent or the respondent did not answer the question.

Retrieved on
April 18, 2023
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.
Wellcome, The Gallup Organization Ltd. (2021). Wellcome Global Monitor 2020 - Mental health.

Wellcome conducted the first Global Monitor – the largest-ever study of public attitudes to science and health – in 2018. The first wave covered topics such as whether people trust science, scientists and information about health, and attitudes towards the safety and efficacy of vaccines – a focus which has since proved incredibly forward-thinking.

In 2020, the Global Monitor's central focus was science's role in mental health.

The datasets and crosstabs cover the mental health sections of the WGM Survey 2020 conducted in 113 countries and territories worldwide on mental health views and experiences. The rest of the survey data will be published in subsequent data releases.

Relevant links:

Note 1: Data for answers where the demographic group had less than 100 participants are filtered out.

Note 2: Empty answers have been filtered out. Empty answers may appear because the question was not applicable to the respondent or the respondent did not answer the question.

Retrieved on
April 18, 2023
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.
Wellcome, The Gallup Organization Ltd. (2021). Wellcome Global Monitor 2020 - Mental health.

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

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: Share who say it's extremely important for the national government to fund research on anxiety/depression”. Our World in Data (2026). Data adapted from Wellcome and Gallup. Retrieved from https://archive.ourworldindata.org/20260512-161845/grapher/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.html [online resource] (archived on May 12, 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:

Wellcome and Gallup (2021) – processed by Our World in Data

Full citation

Wellcome and Gallup (2021) – processed by Our World in Data. “Share who say it's extremely important for the national government to fund research on anxiety/depression” [dataset]. Wellcome and Gallup, “Wellcome Global Monitor 2020 - Mental health” [original data]. Retrieved May 16, 2026 from https://archive.ourworldindata.org/20260512-161845/grapher/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.html (archived on May 12, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

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/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.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/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.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/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.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/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/share-who-say-its-extremely-important-for-the-national-government-to-fund-research-on-anxietydepression.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear