COVID-19 Indicators
The COVID-19 database of the Lancet Commission on COVID-19 contains over 3 million data points and more than 100 indicators. The data has been collected from a range of sources, including Johns Hopkins University, Our World in Data, Oxford, YouGov, and Google. The database is updated once per week.
Click on an indicator for details.
Description | Source |
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The cumulative total of confirmed COVID-19 cases. Confirmed cases include presumptive positive cases and probable cases, in accordance with CDC guidelines as of April 14. | Johns Hopkins University |
The cumulative total of deaths from COVID-19. Death totals in the US include confirmed and probable, in accordance with CDC guidelines as of April 14. | Johns Hopkins University |
The cumulative total of recoveries from COVID-19. Recovered cases outside China are estimates based on local media reports, and state and local reporting when available, and therefore may be substantially lower than the true number. | Johns Hopkins University |
Total confirmed cases of COVID-19 | Our World in Data |
New confirmed cases of COVID-19 | Our World in Data |
Total deaths attributed to COVID-19 | Our World in Data |
New deaths attributed to COVID-19 | Our World in Data |
Total confirmed cases of COVID-19 per 1,000,000 people | Our World in Data |
New confirmed cases of COVID-19 per 1,000,000 people | Our World in Data |
Total deaths attributed to COVID-19 per 1,000,000 people | Our World in Data |
New deaths attributed to COVID-19 per 1,000,000 people | Our World in Data |
Total tests for COVID-19 | Our World in Data |
New tests for COVID-19 | Our World in Data |
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 | Our World in Data |
Total tests for COVID-19 per 1,000 people | Our World in Data |
New tests for COVID-19 per 1,000 people | Our World in Data |
New tests for COVID-19 (7-day smoothed) per 1,000 people | Our World in Data |
Tests conducted per new confirmed case of COVID-19, given as a rolling 7-day average | Our World in Data |
The share of COVID-19 tests that are positive, given as a rolling 7-day average (this is the inverse of tests_per_case) | Our World in Data |
Units used by the location to report its testing data | Our World in Data |
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) | Our World in Data |
The P-score (for all ages) is the percentage difference between the number of weekly deaths in 2020 and the average number of deaths in the same week over the years 2015–2019 | Our World in Data |
The P-score (for ages 15-64) is the percentage difference between the number of weekly deaths in 2020 and the average number of deaths in the same week over the years 2015–2019 | Our World in Data |
The P-score (for ages 65-74) is the percentage difference between the number of weekly deaths in 2020 and the average number of deaths in the same week over the years 2015–2019 | Our World in Data |
The P-score (for ages 75-84) is the percentage difference between the number of weekly deaths in 2020 and the average number of deaths in the same week over the years 2015–2019 | Our World in Data |
The P-score (for ages 85+) is the percentage difference between the number of weekly deaths in 2020 and the average number of deaths in the same week over the years 2015–2019 | Our World in Data |
The number of weekly deaths, for all ages, from all causes in 2020 | Our World in Data |
The number of weekly deaths, for all ages, from all causes in 2019 | Our World in Data |
The number of weekly deaths, for all ages, from all causes in 2018 | Our World in Data |
The number of weekly deaths, for all ages, from all causes in 2017 | Our World in Data |
The number of weekly deaths, for all ages, from all causes in 2016 | Our World in Data |
The number of weekly deaths, for all ages, from all causes in 2015 | Our World in Data |
The average number of weekly deaths, for all ages, from all causes over the period 2015-2019 | Our World in Data |
Population in 2020 | Our World in Data |
Number of people divided by land area, measured in square kilometers, most recent year available | Our World in Data |
Median age of the population, UN projection for 2020 | Our World in Data |
Share of the population that is 65 years and older, most recent year available | Our World in Data |
Share of the population that is 70 years and older in 2015 | Our World in Data |
Gross domestic product at purchasing power parity (constant 2011 international dollars), most recent year available | Our World in Data |
Share of the population living in extreme poverty, most recent year available since 2010 | Our World in Data |
Death rate from cardiovascular disease in 2017 (annual number of deaths per 100,000 people) | Our World in Data |
Diabetes prevalence (% of population aged 20 to 79) in 2017 | Our World in Data |
Share of women who smoke, most recent year available | Our World in Data |
Share of men who smoke, most recent year available | Our World in Data |
Share of the population with basic handwashing facilities on premises, most recent year available | Our World in Data |
Hospital beds per 1,000 people, most recent year available since 2010 | Our World in Data |
Life expectancy at birth in 2019 | Our World in Data |
Record closings of schools and universities | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record closings of schools and universities | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record closings of workplaces | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record closings of workplaces | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record cancelling public events | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record cancelling public events | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record limits on private gatherings | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record limits on private gatherings | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record closing of public transport | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record closing of public transport | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record orders to "shelter-in-place" and otherwise confine to the home | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record orders to "shelter-in-place" and otherwise confine to the home | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record restrictions on internal movement between cities/regions | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record restrictions on internal movement between cities/regions | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record restrictions on international travel. Note: this records policy for foreign travellers, not citizens | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record if the government is providing direct cash payments to people who lose their jobs or cannot work. Note: only includes payments to firms if explicitly linked to payroll/salaries | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Sectoral scope of: Record if the government is providing direct cash payments to people who lose their jobs or cannot work. Note: only includes payments to firms if explicitly linked to payroll/salaries | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record if the government is freezing financial obligations for households (eg stopping loan repayments, preventing services like water from stopping, or banning evictions) | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Announced economic stimulus spending. Note: only record amount additional to previously announced spending | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Announced offers of COVID-19 related aid spending to other countries. Note: only record amount additional to previously announced spending | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record presence of public info campaigns | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Geographical scope of: Record presence of public info campaigns | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record government policy on who has access to testing. Note: this records policies about testing for current infection (PCR tests) not testing for immunity (antibody test) | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record government policy on contact tracing after a positive diagnosis. Note: we are looking for policies that would identify all people potentially exposed to COVID-19; voluntary bluetooth apps are unlikely to achieve this | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Announced short term spending on healthcare system, eg hospitals, masks, etc. Note: only record amount additional to previously announced spending | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Announced public spending on COVID-19 vaccine development. Note: only record amount additional to previously announced spending | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Record policy announcements that do not fit anywhere else | Oxford COVID-19 Government Response Tracker (OxCGRT) |
The cumulative total of confirmed COVID-19 cases. | Oxford COVID-19 Government Response Tracker (OxCGRT) |
The cumulative total of deaths from COVID-19. | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect the level of the strictness of 'lockdown style' policies that primarily restrict people's behavior | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect the level of the strictness of 'lockdown style' policies that primarily restrict people's behavior (smoothed over the last seven days) | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect the level of the strictness of 'lockdown style' policies that primarily restrict people's behavior | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect the level of the strictness of 'lockdown style' policies that primarily restrict people's behavior (smoothed over the last seven days) | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect the overall response of government to COVID-19 | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect the overall response of government to COVID-19 (smoothed over the last seven days) | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect government action related to 'lockdown' restrictions and closures, measures such as testing policy and contract tracing, and short term investment in healthcare and vaccine development | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect government action related to 'lockdown' restrictions and closures, measures such as testing policy and contract tracing, and short term investment in healthcare and vaccine development (smoothed over the last seven days) | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect government action related to income support and debt relief | Oxford COVID-19 Government Response Tracker (OxCGRT) |
A number between 1 and 100 to reflect government action related to income support and debt relief (smoothed over the last seven days) | Oxford COVID-19 Government Response Tracker (OxCGRT) |
Real-time estimate of the effective reproduction rate (R) of COVID-19 | Arroyo-Marioli et al. (2021) |
Upper 65% credible interval for the real-time estimate of the effective reproduction rate (R) of COVID-19 | Arroyo-Marioli et al. (2021) |
Lower 65% credible interval for the real-time estimate of the effective reproduction rate (R) of COVID-19 | Arroyo-Marioli et al. (2021) |
Upper 95% credible interval for the real-time estimate of the effective reproduction rate (R) of COVID-19 | Arroyo-Marioli et al. (2021) |
Lower 95% credible interval for the real-time estimate of the effective reproduction rate (R) of COVID-19 | Arroyo-Marioli et al. (2021) |
% of people who are taking preventative measures: Worn a face mask outside your home (e.g. when on public transport, going to a supermarket, going to a main road) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Washed hands with soap and water | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Used hand sanitiser | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Covered your nose and mouth when sneezing or coughing | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided contact with people who have symptoms or you think may have been exposed to the coronavirus | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided going out in general | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided going to hospital or other healthcare settings | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided taking public transport | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided working outside your home (if job is full or part-time) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided letting your children go to school/ university (if you have children) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided having guests to your home | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided small social gatherings (not more than 2 people) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided medium-sized social gatherings (between 3 and 10 people) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided large-sized social gatherings (more than 10 people) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided crowded areas | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided going to shops | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Slept in separate bedrooms at home, when normally you would share a bedroom | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Eaten separately at home, when normally you would eat a meal with others | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Cleaned frequently touched surfaces in the home (e.g. doorknobs, toilets, taps) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people who are taking preventative measures: Avoided touching objects in public (e.g. elevator buttons or doors) | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are "very" or "somewhat" scared that they will contract COVID-19 (coronavirus). | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who think the government is handling the issue of coronavirus "very" or "somewhat" well | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Avoiding crowded public places | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Wearing a face mask when in public places. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Avoiding going to work (e.g. by working from home). | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: avoiding eating raw or uncooked meat. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Stopping sending children to child care or school. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Improving personal hygiene (e.g. washing hands frequently, using hand sanitiser). | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Refraining from touching objects in public (e.g. using objects to press lift buttons). | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Avoiding physical contact with tourists. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country/region who say they would support their government: Stopping all flights coming into [country] from mainland China. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they support their government: Quarantining all passengers on all flights coming into [country] from mainland China. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country/region who say they would support their government: Stopping all inbound international flights from countries with confirmed cases of Coronavirus (COVID-19). | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country/region who say they would support their government: Quarantining all inbound international flights from countries with confirmed cases of Coronavirus (COVID-19). | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country/region who say they would support their government: Quarantining all Chinese travellers currently in [country]. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country/region who say they would support their government: Quarantining anyone who has been in contact with a contaminated patient. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country/region who say they would support their government: Quarantining any location in [country] that a contaminated patient has been in. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are: Providing free masks for all people in [country]. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each territory who say they support their government: encouraging companies to allow people to work from home. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each territory who say they support their government: temporarily closing schools. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each territory who say they support their government: cancelling large sporting events, concerts or other large events. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each territory who say they support their government: cancelling routine hospital appointments and operations. | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who have "a lot" or "a fair amount" of confidence in the health authorities to respond to coronavirus | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who think the coronavirus situation is getting better in their country | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who think the coronavirus situation is getting better globally | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
Net change in happiness in each country compared to two weeks prior | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are "very worried" or "fairly worried" that they might become seriously unwell or die | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are "very worried" or "fairly worried" that their friends or family might become seriously unwell or die | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are "very worried" or "fairly worried" that their finances will be severely affected | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are "very worried" or "fairly worried" that they will lose their job | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are "very worried" or "fairly worried" that their children’s education will suffer | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
% of people in each country who say they are "very worried" or "fairly worried" that there will be a long lasting negative impact on society | Imperial College London YouGov COVID-19 Behaviour Tracker Data Hub |
Mobility trends for places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies. These datasets show how visits and length of stay at different places change compared to a baseline. Changes for each day are compared to a baseline value for that day of the week: The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. | Google COVID-19 Community Mobility Reports |
Mobility trends for places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens. These datasets show how visits and length of stay at different places change compared to a baseline. Changes for each day are compared to a baseline value for that day of the week: The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. | Google COVID-19 Community Mobility Reports |
Mobility trends for places like public transport hubs such as subway, bus, and train stations. These datasets show how visits and length of stay at different places change compared to a baseline. Changes for each day are compared to a baseline value for that day of the week: The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. | Google COVID-19 Community Mobility Reports |
Mobility trends for places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters. These datasets show how visits and length of stay at different places change compared to a baseline. Changes for each day are compared to a baseline value for that day of the week: The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. | Google COVID-19 Community Mobility Reports |
Mobility trends for places of residence. These datasets show how visits and length of stay at different places change compared to a baseline. Changes for each day are compared to a baseline value for that day of the week: The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. | Google COVID-19 Community Mobility Reports |
Mobility trends for places of work. These datasets show how visits and length of stay at different places change compared to a baseline. Changes for each day are compared to a baseline value for that day of the week: The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. | Google COVID-19 Community Mobility Reports |
New confirmed cases of COVID-19 per 1,000,000 people, averaged over a rolling 14-day window | Secretariat of the Lancet COVID-19 Commission |
New deaths attributed to COVID-19 per 1,000,000 people, averaged over a rolling 14-day window | Secretariat of the Lancet COVID-19 Commission |
Real-time estimate of the effective reproduction rate (R) of COVID-19, averaged over a rolling 14-day window | Secretariat of the Lancet COVID-19 Commission |
The share of COVID-19 tests that are positive, averaged over a rolling 7-day window | Secretariat of the Lancet COVID-19 Commission |
Classification of the transmission rate of COVID-19 on a scale of 1 (suppressed) to 5 (very high) | Secretariat of the Lancet COVID-19 Commission |