Life Expectancy Dataset (2000–2015)

Features

• Country: Name of the country.
• Year: The year the data pertains to.
• Life Expectancy: The average number of years a person is expected to live.
• Adult Mortality: Probability of dying between 15 and 60 years per 1000 population.
• Infant Deaths: Number of infant deaths per 1000 live births.
• Alcohol Consumption: Average alcohol intake (liters per capita).
• BMI: Average Body Mass Index.
• Healthcare Expenditure: Per capita spending on healthcare.
• Hepatitis B Immunization: Percentage of children immunized against Hepatitis B.
• Measles Cases: Total reported measles cases.
• Schooling: Average number of years of schooling.
• GDP per Capita: Gross Domestic Product per capita.
• Population: Total population of the country.
• HIV/AIDS Death Rate: Deaths per 1000 population due to HIV/AIDS.
• Access to Basic Services: Indicators like clean water and sanitation.

Usage

• Predict life expectancy based on socio-economic factors.
• Analyze the correlation between healthcare investments and life expectancy.

Who can use it:

• Public Health Research:
  • Analyze trends in life expectancy across countries and years.
  • Study the correlation between healthcare spending and life expectancy.
• Economic Analysis:
  • Examine the relationship between GDP and human development.
  • Evaluate the impact of education and income distribution on lifespan.
• Policy Development:
  • Identify priority areas for improving life expectancy in low-income countries.
  • Assess the effects of immunization programs on mortality rates.
• Machine Learning Models:
  • Predict life expectancy based on multiple influencing factors.
  • Cluster countries based on health and economic profiles.

Dataset Details

• Source: WHO and United Nations.
• Time Period: 2000–2015.
• Number of Records: 2,938 rows.
• Number of Features: 22 columns.
• Format: CSV file.
• License: Open Access.

• License