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Global Life Expectancy Data
Data Science and Analytics
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About
Life expectancy is a key measure of a population's health and well-being. It is defined as the average number of years a newborn is expected to live if prevailing patterns of mortality at the time of its birth remain constant. Factors influencing life expectancy include access to healthcare, lifestyle, and socioeconomic status. This dataset offers an overview of life expectancy for each country, providing insight into the health status of different populations, allowing for comparisons of life expectancy levels globally, and aiding in the evaluation of healthcare policies over time.
Columns
- country_code: Represents the unique identifier for each nation. There are 260 distinct codes, with 'ABW' frequently observed.
- country_name: Provides the full name of each country. It contains 260 unique names, with 'Aruba' appearing often.
- year: Indicates the year the life expectancy data was recorded, spanning from 1960 to 2020.
- value: Shows the life expectancy per country per year, ranging from 12 to 85.4 years. The average life expectancy in this collection is approximately 64.1 years, with a standard deviation of 11.2 years.
Distribution
The data is provided in a CSV file, named
life_expectancy_by_country.csv, which has a size of 522.46 kB. It is structured with 4 columns and includes approximately 15,200 valid records for each column.Usage
Ideal applications for this data include forecasting life expectancy for various nations, gaining insight into global health status, comparing life expectancy levels across countries, monitoring shifts in life expectancy over different periods, and assessing the effectiveness of public health initiatives and strategies.
Coverage
The dataset covers all countries globally, providing figures on life expectancy at birth. The time range extends from 1960 to 2020, offering a broad historical perspective on demographic health trends.
License
The Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Researchers: For conducting studies on public health, demographics, and societal well-being.
- Policymakers: To develop and refine healthcare policies and strategies aimed at improving health outcomes.
- General public: To better understand population health and global demographic patterns.
Dataset Name Suggestions
- Global Life Expectancy Data
- Country Life Expectancy Trends (1960-2020)
- Worldwide Birth Life Expectancy Figures
- Population Health Indicator Data
Attributes
Original Data Source: Global Life Expectancy Data
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