Cross-National Health and Demographics Dataset

Columns

• Country: The name of the country.
• Country_Code: The unique code for the country.
• Year: The year the data was recorded (2012-2021).
• Fertility_Rate: The birth rate per woman.
• Urban_Population_Percent: The percentage of the population living in urban areas.
• Total_Population: The total population count.
• Water_Access_Percent: The percentage of the population with access to potable water.
• Unemployment_Rate: The percentage of the labour force that is without work.
• Sanitary_Expense_Per_GDP: Total healthcare spending by the state as a percentage of GDP.
• Life_Expectancy: Life expectancy in years for both males and females.
• Life_Expectancy_Female: Life expectancy in years for females.
• Life_Expectancy_Male: Life expectancy in years for males.
• Infant_Deaths: The number of infant deaths per 1,000 live births.
• GDP_Per_Capita: Gross Domestic Product per capita.
• Hospital_Beds_Per_1000: The number of hospital beds available per 1,000 people.
• Female_Population: The total female population.
• Male_Population: The total male population.
• Alcohol_Consumption_Per_Capita: Annual alcohol consumption in litres per person.
• Immunization_Rate: The percentage of children aged 12-23 months who are vaccinated.
• Sanitary_Expense_Per_Capita: Healthcare spending per capita by the state.
• CO2_Exposure_Percent: The percentage of the population exposed to CO2 emissions.
• Air_Pollution: Air pollution levels measured in micrograms per cubic meter.
• Labour_Force_Total: The total population contributing to the labour force.
• Tuberculosis_Per_100000: The number of tuberculosis cases per 100,000 inhabitants.
• Suicide_Rate_Percent: The suicide rate as a percentage of all deaths.
• Obesity_Rate_Percent: The percentage of the population categorised as obese.
• Underweight_Rate_Percent: The percentage of the population categorised as underweight.
• Overweight_Rate_Percent: The percentage of the population categorised as overweight.
• Safe_Water_Access_Percent: The percentage of the population with access to a safe water system.

Distribution

• Format: The data is provided in a single CSV file named global_health.csv.
• Size: The file size is 424.98 kB.
• Structure: The dataset contains 1880 records (rows) and 29 columns.

Usage

• Analysing correlations between economic indicators like GDP per capita and health outcomes such as life expectancy.
• Conducting longitudinal studies on demographic shifts and their impact on public health over a decade.
• Building predictive models for health crises based on environmental and economic factors.
• Policy-making and public health research to understand global health trends and disparities.
• Academic research in fields like social science, public health, economics, and environmental science.

Coverage

• Geographic: The dataset covers 188 recognized countries across the globe.
• Time Range: The data spans a 10-year period from 2012 to 2021.
• Demographic: Includes various demographic indicators such as total, male, and female populations, urban population percentages, and labour force totals.

License

Who Can Use It

• Researchers and Academics: Can use the data for studies in global health, economics, sociology, and environmental science.
• Data Analysts and Scientists: Ideal for practising data cleaning, analysis, and building machine learning models to predict health outcomes.
• Policymakers and NGOs: Can use the insights to inform public health policies, international development strategies, and resource allocation.
• Students: A valuable resource for projects and coursework related to social sciences and data analysis.

Dataset Name Suggestions

• Global Health & Development Indicators (2012-2021)
• Decade of Global Health: A Country-Level Analysis
• World Health and Economic Metrics
• Cross-National Health and Demographics Dataset
• Global Socio-Economic and Health Indicators

Attributes