Description Usage Format Source
A dataset containing a collection of the COVID-19 data maintained by Our World in Data.
It is updated daily and includes data on confirmed cases, deaths, and testing, as well as other social and economic variables of potential interest, for all 210 countries across the world.
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A data frame with 47,116 observations and 43 variables:
iso_code: Country id given by Our World - ISO 3166-1 alpha-3 – three-letter country codes
continent: Name of Continent of the geographical location
location: Country's name
date: Date of observation from the statistic measure (cases, deaths, tests...)
total_cases: Accumulated total confirmed cases of COVID-19
new_cases: Daily new positive confirmed cases of COVID-19
new_cases_smoothed: Daily new confirmed cases of COVID-19 (7-day smoothed)
total_deaths: Total deaths attributed to COVID-19
new_deaths: New deaths attributed to COVID-19
new_deaths_smoothed: New deaths attributed to COVID-19 (7-day smoothed)
total_cases_per_million: Daily positive COVID-19 new cases recorded in the date of the line
new_cases_per_million: New confirmed cases of COVID-19 per 1,000,000 people European Centre for Disease Prevention and Control
new_cases_smoothed_per_million: New confirmed cases of COVID-19 (7-day smoothed) per 1,000,000 people European Centre for Disease Prevention and Control
total_deaths_per_million: Total deaths attributed to COVID-19 per 1,000,000 people European Centre for Disease Prevention and Control
new_deaths_per_million: New deaths attributed to COVID-19 per 1,000,000 people European Centre for Disease Prevention and Control
new_deaths_smoothed_per_million: New deaths attributed to COVID-19 (7-day smoothed) per 1,000,000 people European Centre for Disease Prevention and Control
total_tests: Total tests for COVID-19 National government reports
new_tests: New tests for COVID-19 National government reports
new_tests_smoothed: New tests for COVID-19 (7-day smoothed). For countries that don't report testing data on a daily basis, we assume that testing changed equally on a daily basis over any periods in which no data was reported. This produces a complete series of daily figures, which is then averaged over a rolling 7-day window National government reports
total_tests_per_thousand: Total tests for COVID-19 per 1,000 people National government reports
new_tests_per_thousand: New tests for COVID-19 per 1,000 people National government reports
new_tests_smoothed_per_thousand: New tests for COVID-19 (7-day smoothed) per 1,000 people National government reports
tests_per_case: Tests conducted per new confirmed case of COVID-19, given as a rolling 7-day average (this is the inverse of positive_rate) National government reports
positive_rate: The share of COVID-19 tests that are positive, given as a rolling 7-day average (this is the inverse of tests_per_case) National government reports
tests_units: Units used by the location to report its testing data National government reports
stringency_index: Government Response Stringency Index: composite measure based on 9 response indicators including school closures, workplace closures, and travel bans, rescaled to a value from 0 to 100 (100 = strictest response) Oxford COVID-19 Government Response Tracker, Blavatnik School of Government
population: Population in 2020 United Nations, Department of Economic and Social Affairs, Population Division, World Population Prospects: The 2019 Revision
population_density: Number of people divided by land area, measured in square kilometers, most recent year available World Bank – World Development Indicators, sourced from Food and Agriculture Organization and World Bank estimates
median_age: Median age of the population, UN projection for 2020 UN Population Division, World Population Prospects, 2017 Revision
aged_65_older: Share of the population that is 65 years and older, most recent year available World Bank – World Development Indicators, based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision
aged_70_older: Share of the population that is 70 years and older in 2015 United Nations, Department of Economic and Social Affairs, Population Division (2017), World Population Prospects: The 2017 Revision
gdp_per_capita: Gross domestic product at purchasing power parity (constant 2011 international dollars), most recent year available World Bank – World Development Indicators, source from World Bank, International Comparison Program database
extreme_poverty: Share of the population living in extreme poverty, most recent year available since 2010 World Bank – World Development Indicators, sourced from World Bank Development Research Group
cardiovasc_death_rate: Death rate from cardiovascular disease in 2017 (annual number of deaths per 100,000 people) Global Burden of Disease Collaborative Network, Global Burden of Disease Study 2017 Results
diabetes_prevalence: Diabetes prevalence (% of population aged 20 to 79) in 2017 World Bank – World Development Indicators, sourced from International Diabetes Federation, Diabetes Atlas
female_smokers: Share of women who smoke, most recent year available World Bank – World Development Indicators, sourced from World Health Organization, Global Health Observatory Data Repository
male_smokers: Share of men who smoke, most recent year available World Bank – World Development Indicators, sourced from World Health Organization, Global Health Observatory Data Repository
handwashing_facilities: Share of the population with basic handwashing facilities on premises, most recent year available United Nations Statistics Division
hospital_beds_per_thousand: Hospital beds per 1,000 people, most recent year available since 2010 OECD, Eurostat, World Bank, national government records and other sources
life_expectancy: Life expectancy at birth in 2019 James C. Riley, Clio Infra, United Nations Population Division
human_development_index: Summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living#'
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