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WHO World Health Statistics Dataset (2020)
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About
This dataset offers filtered and updated global health statistics from 2020, covering all countries recognised by the World Health Organisation (WHO). The original data has been carefully filtered and organised into subcategories to enhance user readability and facilitate insightful visualisations and exploratory data analysis (EDA). It provides a focused collection of health indicators, making it suitable for in-depth analysis of worldwide health trends, disease prevalence, mortality rates, health service availability, and environmental health factors.
Columns
While specific column names may vary slightly across the individual CSV files within this dataset, common columns typically include:
- Location: Represents the geographical entity, such as a country or a WHO region, for which the data is recorded.
- Period: Indicates the year or time range to which the reported health statistics correspond.
- Indicator: Describes the specific health metric or statistic being measured (e.g., life expectancy at birth, maternal mortality ratio, incidence of malaria).
- Dimension: Provides additional categorical breakdown for the indicator, such as sex (e.g., Both sexes).
- Value: The numerical data point for the specified indicator, location, period, and dimension.
Distribution
The dataset is provided as a collection of individual CSV (Comma Separated Values) files, each focusing on a specific health indicator or subcategory. The overall collection is derived from the World Health Statistics 2020. An example file,
30-70cancerChdEtc.csv, is approximately 476.37 kB in size and contains 2,745 records across 5 columns. The dataset is structured into distinct categories such as Life Expectancy, Maternal Mortality, Newborn and Child Mortality, Communicable Diseases, Noncommunicable Diseases, Substance Abuse, Road Traffic Injuries, Sexual and Reproductive Health, Universal Health Coverage, Mortality from Environmental Pollution, Tobacco Control, Health Workforce, Violence Against Women, Drinking Water, Sanitation and Hygiene, and Clean Household Energy.Usage
This dataset is ideal for:
- Creating visualisations and performing exploratory data analysis (EDA) on global health trends.
- Analysing public health challenges and opportunities across different countries and regions.
- Supporting academic research in epidemiology, public health, and demography.
- Informing policy decisions related to health interventions and resource allocation.
- Monitoring progress towards various health-related Sustainable Development Goals (SDGs).
- Educational purposes, allowing students to explore real-world health data.
Coverage
The dataset covers all countries recognised by the World Health Organisation (WHO), with some indicators also available on a region-wise basis. The time range varies by indicator, with data points typically available from 2000 up to 2019, reflecting the most recent updated health statistics at the time of publication (2020). Demographic scope includes data segmented by age groups (e.g., children under 5, adolescents 15-19, adults 30-70, persons 15+), sex, and specific populations (e.g., ever-partnered women, uninfected population).
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For statistical modelling, trend analysis, and dashboard creation.
- Public Health Researchers and Epidemiologists: To study disease patterns, health disparities, and intervention effectiveness.
- Policy Makers and Government Agencies: To guide health policy formulation and resource distribution.
- Non-Governmental Organisations (NGOs) and International Bodies: For advocacy, programme planning, and impact assessment.
- Academics and Students: For teaching, learning, and conducting research on global health topics.
Dataset Name Suggestions
- Global Health Indicators 2020 (Filtered)
- WHO World Health Statistics Dataset (2020)
- Country-level Health Metrics 2020
- Public Health Data Analysis 2020
- World Health Trends and Statistics (2000-2019)
Attributes
Original Data Source:WHO World Health Statistics Dataset (2020)
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