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Global Self-Reported Depression Risk

Mental Health & Wellness

Tags and Keywords

Depression

Health

Mental

Global

Prevalence

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Global Self-Reported Depression Risk Dataset on Opendatabay data marketplace

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Free

About

The lifetime risk of depression, one of the world's most common health conditions. While it is estimated that between two and six percent of the global population has experienced depression in the past year, the probability of having a depressive episode at any point in one's life is significantly higher. This is because depression is often not a constant condition, and people tend to transition in and out of depressive episodes. The data provides a look into this lifetime prevalence across different countries. However, measurement presents several challenges, including reliance on self-reporting, recall bias (especially among older people), and a lack of data, particularly from low-income nations. As a result, the available findings are primarily based on studies conducted in a small number of high-income countries.

Columns

  • country: The name of the country.
  • Year: The year the data was recorded, which is 2020 for all entries.
  • Share - Question: mh7a: The share of respondents who answered a specific question related to experiencing lifetime anxiety or depression.

Distribution

  • Format: CSV
  • Size: 3.25 kB
  • Structure: The dataset contains 3 columns and 123 rows.

Usage

This dataset is well-suited for data analysis and visualisation projects focused on global mental health. It can be used to explore and compare the self-reported lifetime prevalence of depression across various countries. Researchers and students can use it for educational purposes, data cleaning exercises, and to understand the complexities involved in measuring mental health conditions globally.

Coverage

  • Geographic: The dataset includes data for 123 countries and territories. However, it's noted that findings are predominantly based on studies from high-income countries, as data is lacking for many nations, especially low-income ones.
  • Time Range: All data points are from the year 2020.
  • Demographic: The sources discuss differences in depression rates between men and women and mention challenges related to reporting among older generations, but the dataset itself does not contain demographic breakdowns beyond the country level.

License

CC0: Public Domain

Who Can Use It

  • Data Analysts: For creating visualisations and reports on global mental health trends.
  • Researchers: To supplement studies on the prevalence of depression and the challenges in data collection.
  • Students: As a practical dataset for projects in data science, public health, and social sciences.
  • Public Health Officials: To gain a high-level overview of reported depression prevalence in different regions.

Dataset Name Suggestions

  • Lifetime Depression Prevalence by Country
  • Global Self-Reported Depression Risk
  • Cross-Country Lifetime Depression Data (2020)
  • Mental Health Insights: Lifetime Depression Rates

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

1

LISTED

28/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format