Worldwide COVID-19 Impact & Mortality Data

Columns

• Country name: The name of the country under consideration.
• Population 2020: The population count of the respective country in the year 2020.
• Population 2019: The population count of the respective country in the year 2019.
• COVID-19 deaths per 100,000 population in 2020: The total number of COVID-19 related deaths per 100,000 people in each country during 2020.
• Median age: The median age of the population in the country.
• Island: An indicator checking if a country is an island (0 for no, 1 for yes).
• Index of exposure to COVID-19 infections in other countries as of March 31: An index quantifying a country's exposure to COVID-19 infections originating from other nations as of 31st March.
• Log of average distance to SARS countries: The logarithmic value of the average geographical distance to countries affected by SARS.
• WHO Western Pacific Region: An indicator checking if a country is part of the WHO Western Pacific Region (0 for no, 1 for yes).
• Female head of government: An indicator checking if the head of the government in a country is female (0 for no, 1 for yes).
• Index of institutional trust: A calculated index representing the level of institutional trust within a country.
• Gini coefficient of income: The calculated Gini coefficient, measuring income inequality.
• All-cause death count, 2017: The total number of deaths from all causes in 2017.
• All-cause death count, 2018: The total number of deaths from all causes in 2018.
• All-cause death count, 2019: The total number of deaths from all causes in 2019.
• All-cause death count, 2020: The total number of deaths from all causes in 2020.
• Excess deaths in 2020 per 100,000 population, relative to 2017-2019 average: The number of deaths in excess of the average for 2017-2019, per 100,000 population, for the year 2020.

Distribution

Usage

• Analysing the global impact of COVID-19 on human lives.
• Evaluating the effectiveness of government responses to the pandemic.
• Conducting research on factors influencing mortality rates across different countries.
• Exploring the relationship between societal well-being and mortality.
• Drawing conclusions about why some countries performed better than others during the pandemic.

Coverage

• Geographic Scope: The dataset covers countries across the globe, focusing on worldwide mortality.
• Time Range: Data includes population figures for 2019 and 2020, COVID-19 deaths for 2020, an exposure index as of March 31, and all-cause death counts for 2017, 2018, 2019, and 2020. It is based on the Ninth World Happiness Report published in 2021.
• Demographic Scope: Includes data points such as median age and the presence of a female head of government, offering insights into demographic aspects related to mortality and pandemic response.

License

Who Can Use It

• Researchers and academics studying global health, public policy, and epidemiology.
• Data analysts looking to identify trends and correlations related to mortality and societal factors during a pandemic.
• Policymakers and government officials interested in understanding the outcomes of different national responses to health crises.
• Students undertaking projects on global health, demography, or data visualisation.

Dataset Name Suggestions

• Global Mortality & Happiness Report (2021)
• Worldwide COVID-19 Impact & Mortality Data
• Ninth World Happiness Report: Global Mortality Factors
• Pandemic Response & Societal Well-being (2021)

Attributes