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This dataset explores the factors influencing life expectancy across various countries and years, aiming to uncover patterns and disparities in health outcomes based on geographic locations. By examining key features such as adult mortality, alcohol consumption, healthcare expenditures, and socioeconomic indicators, this dataset provides insights into the complex interplay of factors shaping life expectancy worldwide.
| Feature | Description |
|---|---|
| Country | Name of the country |
| Year | Year of observation |
| Status | Urban or rural status |
| Life expectancy | Life expectancy at birth in years |
| Adult Mortality | Probability of dying between 15 and 60 years per 1000 |
| Infant deaths | Number of infant deaths per 1000 population |
| Alcohol | Alcohol consumption, measured as liters per capita |
| Percentage expenditure | Expenditure on health as a percentage of GDP |
| Hepatitis B | Hepatitis B immunization coverage among 1-year-olds (%) |
| Measles | Number of reported measles cases per 1000 population |
| BMI | Average Body Mass Index of the population |
| Under-five deaths | Number of deaths under age five per 1000 population |
| Polio | Polio immunization coverage among 1-year-olds (%) |
| Total expenditure | Total government health expenditure as a percentage of GDP |
| Diphtheria | Diphtheria tetanus toxoid and pertussis immunization coverage among 1-year-olds (%) |
| HIV/AIDS | Deaths per 1 000 live births due to HIV/AIDS (0-4 years) |
| GDP | Gross Domestic Product per capita (in USD) |
| Population | Population of the country |
| Thinness 1-19 years | Prevalence of thinness among children and adolescents aged 10–19 (%) |
| Thinness 5-9 years | Prevalence of thinness among children aged 5–9 (%) |
| Income composition of resources | Human Development Index in terms of income composition of resources (0 to 1) |
| Schooling | Number of years of schooling |
World Health Organization (WHO), United Nations (UN), World Bank, etc.
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Description: Step into the world of global health and demographics with our rich and comprehensive dataset. It's your passport to unraveling the secrets of life expectancy and understanding the pulse of population health. Dive into a treasure trove of valuable information for public health research and epidemiology, where each column tells a unique story about a nation's health journey.
Discover the Gems in Our Dataset:
Predictive Targets: - The "Life Expectancy" column is your North Star, guiding the way to predictive insights. Harness the power of data to predict life expectancy using the mosaic of health and demographic indicators at your disposal.
Journey with the Data: 1. Predicting Life Expectancy: Embark on the quest to build regression models that forecast life expectancy for diverse countries and years based on this wealth of features. 2. Identifying Influential Factors: Uncover the gems within the dataset that influence life expectancy the most, providing valuable insights for public health interventions. 3. Health Policy Analysis: Assess the impact of health expenditure, immunization coverage, and disease prevalence on life expectancy and shape policies that safeguard population health.
This dataset is your window into the intricate world of global health. Join us on a journey of discovery as we explore the factors shaping life expectancy and navigate the waters of public health, epidemiology, and population health.
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Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset explores the factors influencing life expectancy across various countries and years, aiming to uncover patterns and disparities in health outcomes based on geographic locations. By examining key features such as adult mortality, alcohol consumption, healthcare expenditures, and socioeconomic indicators, this dataset provides insights into the complex interplay of factors shaping life expectancy worldwide.
| Feature | Description |
|---|---|
| Country | Name of the country |
| Year | Year of observation |
| Status | Urban or rural status |
| Life expectancy | Life expectancy at birth in years |
| Adult Mortality | Probability of dying between 15 and 60 years per 1000 |
| Infant deaths | Number of infant deaths per 1000 population |
| Alcohol | Alcohol consumption, measured as liters per capita |
| Percentage expenditure | Expenditure on health as a percentage of GDP |
| Hepatitis B | Hepatitis B immunization coverage among 1-year-olds (%) |
| Measles | Number of reported measles cases per 1000 population |
| BMI | Average Body Mass Index of the population |
| Under-five deaths | Number of deaths under age five per 1000 population |
| Polio | Polio immunization coverage among 1-year-olds (%) |
| Total expenditure | Total government health expenditure as a percentage of GDP |
| Diphtheria | Diphtheria tetanus toxoid and pertussis immunization coverage among 1-year-olds (%) |
| HIV/AIDS | Deaths per 1 000 live births due to HIV/AIDS (0-4 years) |
| GDP | Gross Domestic Product per capita (in USD) |
| Population | Population of the country |
| Thinness 1-19 years | Prevalence of thinness among children and adolescents aged 10–19 (%) |
| Thinness 5-9 years | Prevalence of thinness among children aged 5–9 (%) |
| Income composition of resources | Human Development Index in terms of income composition of resources (0 to 1) |
| Schooling | Number of years of schooling |
World Health Organization (WHO), United Nations (UN), World Bank, etc.