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International Mental Health Disease Data
Mental Health & Wellness
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About
This dataset offers crucial insights into mental health, which is a multifaceted aspect of human well-being encompassing emotional, psychological, and social dimensions. It shapes how individuals think, feel, act, manage stress, relate to others, and make life choices. The data underscores the pervasive importance of mental health across all life stages, from childhood through adulthood, highlighting its global significance [1].
Columns
- Entity: Represents geographical entities or countries. This column contains 228 distinct values, identifying the specific locations covered by the data [2].
- Code: Provides country codes corresponding to the entities. While 205 unique codes are present, approximately 10% of the entries in this column are missing [2].
- Year: Indicates the time period for the recorded data, ranging from 1990 to 2019. Data points are evenly distributed across this span, offering a historical perspective [2, 3].
- DALYs (Disability-Adjusted Life Years) - Mental disorders - Sex: Both - Age: All Ages (Percent): This metric quantifies the burden of mental disorders, specifically for both sexes and all age groups. Values in this column vary from a minimum of 0.22 to a maximum of 13.8, reflecting the percentage of DALYs attributed to mental health conditions [3, 4].
Distribution
The dataset is provided as a tabular data file, specifically named
mental-and-substance-use-as-share-of-disease.csv, with a file size of 251.66 kB. It comprises 4 columns and a total of 6,840 records. The 'Entity', 'Year', and 'DALYs' columns boast 100% data validity, ensuring a solid foundation for analysis. The 'Code' column, however, has a 10% missing rate, with 690 entries unrecorded [2, 4].Usage
This dataset is ideally suited for applications focused on analysing the global prevalence and impact of mental disorders over time. It can be used to identify regional variations in mental health burden, track trends, and inform public health strategies and interventions. Its content makes it valuable for epidemiological studies, policy analysis, and academic research into global health challenges [1].
Coverage
The dataset's geographic coverage spans 228 distinct countries or entities, with Afghanistan appearing as a frequently occurring entity within the data. The temporal scope ranges from 1990 to 2019, providing a significant historical window. The DALYs data specifically covers "Sex: Both" and "Age: All Ages", ensuring a broad demographic representation without specific group exclusions [2, 3].
License
CC0: Public Domain
Who Can Use It
This dataset is designed for a diverse range of users, including public health researchers, epidemiologists, policymakers, students, and data scientists who are interested in mental health trends and the global burden of disease. It can be particularly useful for those conducting academic studies, developing public health initiatives, or seeking to understand the socio-economic impact of mental health challenges [1].
Dataset Name Suggestions
- Global Mental Health Burden Statistics
- Mental Disorders DALYs by Country and Year
- Public Health Mental Wellbeing Insights
- International Mental Health Disease Data
Attributes
Original Data Source: International Mental Health Disease Data
QUALITY