rowid,column,description,source
1,iso_code,ISO 3166-1 alpha-3 – three-letter country codes,International Organization for Standardization
2,continent,Continent of the geographical location,Our World in Data
3,location,Geographical location,Our World in Data
4,date,Date of observation,Our World in Data
5,total_cases,Total confirmed cases of COVID-19,European Centre for Disease Prevention and Control
6,new_cases,New confirmed cases of COVID-19,European Centre for Disease Prevention and Control
7,new_cases_smoothed,New confirmed cases of COVID-19 (7-day smoothed),European Centre for Disease Prevention and Control
8,total_deaths,Total deaths attributed to COVID-19,European Centre for Disease Prevention and Control
9,new_deaths,New deaths attributed to COVID-19,European Centre for Disease Prevention and Control
10,new_deaths_smoothed,New deaths attributed to COVID-19 (7-day smoothed),European Centre for Disease Prevention and Control
11,total_cases_per_million,"Total confirmed cases of COVID-19 per 1,000,000 people",European Centre for Disease Prevention and Control
12,new_cases_per_million,"New confirmed cases of COVID-19 per 1,000,000 people",European Centre for Disease Prevention and Control
13,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
14,total_deaths_per_million,"Total deaths attributed to COVID-19 per 1,000,000 people",European Centre for Disease Prevention and Control
15,new_deaths_per_million,"New deaths attributed to COVID-19 per 1,000,000 people",European Centre for Disease Prevention and Control
16,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
17,icu_patients,Number of COVID-19 patients in intensive care units (ICUs) on a given day,European Centre for Disease Prevention and Control
18,icu_patients_per_million,"Number of COVID-19 patients in intensive care units (ICUs) on a given day per 1,000,000 people",European Centre for Disease Prevention and Control
19,hosp_patients,Number of COVID-19 patients in hospital on a given day,European Centre for Disease Prevention and Control
20,hosp_patients_per_million,"Number of COVID-19 patients in hospital on a given day per 1,000,000 people",European Centre for Disease Prevention and Control
21,weekly_icu_admissions,Number of COVID-19 patients newly admitted to intensive care units (ICUs) in a given week,European Centre for Disease Prevention and Control
22,weekly_icu_admissions_per_million,"Number of COVID-19 patients newly admitted to intensive care units (ICUs) in a given week per 1,000,000 people",European Centre for Disease Prevention and Control
23,weekly_hosp_admissions,Number of COVID-19 patients newly admitted to hospitals in a given week,European Centre for Disease Prevention and Control
24,weekly_hosp_admissions_per_million,"Number of COVID-19 patients newly admitted to hospitals in a given week per 1,000,000 people",European Centre for Disease Prevention and Control
25,total_tests,Total tests for COVID-19,National government reports
26,new_tests,New tests for COVID-19,National government reports
27,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
28,total_tests_per_thousand,"Total tests for COVID-19 per 1,000 people",National government reports
29,new_tests_per_thousand,"New tests for COVID-19 per 1,000 people",National government reports
30,new_tests_smoothed_per_thousand,"New tests for COVID-19 (7-day smoothed) per 1,000 people",National government reports
31,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
32,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
33,tests_units,Units used by the location to report its testing data,National government reports
34,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"
35,population,Population in 2020,"United Nations, Department of Economic and Social Affairs, Population Division, World Population Prospects: The 2019 Revision"
36,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"
37,median_age,"Median age of the population, UN projection for 2020","UN Population Division, World Population Prospects, 2017 Revision"
38,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"
39,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"
40,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"
41,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"
42,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"
43,diabetes_prevalence,Diabetes prevalence (% of population aged 20 to 79) in 2017,"World Bank – World Development Indicators, sourced from International Diabetes Federation, Diabetes Atlas"
44,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"
45,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"
46,handwashing_facilities,"Share of the population with basic handwashing facilities on premises, most recent year available",United Nations Statistics Division
47,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"
48,life_expectancy,Life expectancy at birth in 2019,"James C. Riley, Clio Infra, United Nations Population Division"
49,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",United Nations Development Programme (UNDP)