OECD, EU28, G20 Life Expectancy and Mortality Indicators

Health
Free Product
Mortality
Since 1960
OECD
Life Expectancy

Historical life expectancy and cause of mortality indicators for more than 50 countries (OECD + 16)

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Charts of OECD, EU28, G20 Life Expectancy and Mortality Indicators

Applications

  • Population forecast
  • Country life expectancy benchmark and segmentation applications
  • Cause of mortality analysis over years by countries
  • Insurance decision support

DOCUMENTATION

OECD, EU28, G20 Life Expectancy and Mortality Indicators

Overview

This data product provides annual health data in terms of life expectancy and cause of mortality since 1960 by sex. The data is available for 52 countries in total including the OECD member countries as well as for the European Unions, and G20 countries, Colombia, Costa Rica, Singapore and the World total.

Health is fundamental for a good quality of life. Being free from illness or injury directly affects our capacity to enjoy life. These indicators provide a basis for other statistical projections, helping governments and insurance companies in their decision making for spending on pensions, health care, and education and, more generally, for economic growth and welfare.

Coverage

Indicators

  • Life Expectancy
  • Infant Mortality Rate
  • Potential Years of Life Lost
  • Deaths From Cancer
  • Suicide Rates

Countries

Here is the country list for this data product: Country List

The table shows the country coverage of the product as of 2019:

World Population Data Product Coverage Coverage %
7,632.82 4,915.46 %64

Data Sources

OECD, United Nations, World Bank and various sources for country attributes

Key Features

  • Historical data goes back to 1960
  • OECD Members + 16 Countries are Covered
  • Key life expectancy and cause of mortality indicators

DATA DICTIONARY

23 Data Columns

Year (year)

Year

2-Digit Alpha Country Code (co_alpha_2_code)

ISO 3166-1 alpha-2 code that represents each country

Country Alpha 3 Codes (co_alpha_3_code)

ISO 3166-1 alpha-3 codes are three-letter country codes defined in ISO 3166-1, part of the ISO 3166 standard published by the International Organization for Standardization (ISO), to represent countries, dependent territories, and special areas of geographical interest.

Country (country_name)

Country

Geographic Region Name (co_agg_region_name)

Geographic regions presents the composition of geographical regions used by the United Nations' Statistics Division in its publications and databases. Each country or area is shown in one region only. These geographic regions are based on continental regions.

OECD Country Flag (co_agg_oecd_flag)

True if the country is a member of OECD, otherwise False

Max Report Year (max_year_by_country)

The latest year of statistics of a country in the dataset

Geographical Agregation (geo_agg)

Country or the agregation region such as OECD, World etc.

Men Life Expectancy at Birth (men_life_expectancy_at_birth)

Men Life Expectancy at Birth

Women Life Expectancy at Birth (women_life_expectancy_at_birth)

Women Life Expectancy at Birth

Life Expectancy at Birth (life_expectancy_at_birth)

Life Expectancy at Birth

Men Life Expectancy at 65 (men_life_expectancy_at_65)

Men Life Expectancy at 65

Women Life Expectancy at 65 (women_life_expectancy_at_65)

Women Life Expectancy at 65

Infant mortality rate (infant_mortality_rate)

The number of deaths of children under one year of age per 1000 live births

Men Potential Years of Life Lost (men_potential_years_of_life_lost)

The calculation of Potential Years of Life Lost involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to 70. It is measured in years lost per 100 000 men.

Women Potential Years of Life Lost (women_potential_years_of_life_lost)

The calculation of Potential Years of Life Lost involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to 70. It is measured in years lost per 100 000 women.

Potential Years of Life Lost (potential_years_of_life_lost)

The calculation of Potential Years of Life Lost involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to 70. It is measured in years lost per 100.000 people.

Men Deaths from Cancer (men_deaths_from_cancer)

Deaths from cancer per 100.000 men

Women Deaths from Cancer (women_deaths_from_cancer)

Deaths from cancer per 100.000 women

Deaths from Cancer (deaths_from_cancer)

Deaths from cancer per 100.000 people

Men Suicide Rates (men_suicide_rates)

Number of men die from suicide per 100.000 men

Women Suicide Rates (women_suicide_rates)

Number of women die from suicide per 100.000 women

Suicide Rates (suicide_rates)

Number of people die from suicide per 100.000 people

Data Provider

Alta Bering

Alta Bering is a Data Curation and Business Analytics Company with its roots in management consulting and decision science. Alta Bering is based in British Columbia and also offers a visual business analytics platform called EPO to help solve complex business problems by using popular Machine Learning and statistical methods

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