Governments’ stark daily figures on the spread of coronavirus are difficult to compare across countries, and may be significant undercounts. But the data needed to analyse the more reliable and comparable excess mortality metric are only available in a few jurisdictions, leaving these official case and death counts the best available data for much of the world.
- January 4, 2021: Further improvements to the display of the logarithmic-scale views of charts.
- December 27, 2020: Some jurisdictions have reduced testing or data reporting capacity during the Christmas and New Year holiday period. This may result in temporary undercounts and artificial declines in seven-day averages of new confirmed cases or deaths.
- December 22, 2020: The 20,537 cases reported in Wales between December 10 and December 17 have been redistributed equally across this period. This adjusts for a backlog of more than 11,000 cases that was reported on December 17.
- December 18, 2020: Added an option to select the start date on the horizontal axis, with the default set to September 1, 2020.
- December 15, 2020: The primary data source for these charts is now the World Health Organization. Data for Hong Kong, Macau, Spain, Taiwan, and Turkey is now sourced from the Johns Hopkins University Center for Systems Science and Engineering. All additional exceptions and adjustments are listed in the complete list of sources below.
US states in detail
Since mid-March, lockdowns and social distancing procedures in the United States have been largely managed on a state-by-state basis. President Trump urged governors to use their latitude over reopenings, and several had raced to lift restrictions on business before meeting CDC guidelines on declining case counts as well as the need for widespread testing and contact tracers. But the majority are taking a phased approach to reopening.
Cases or deaths
Comparing the spread of coronavirus in different countries is difficult using the data being released by governments. Confirmed case counts depend heavily on the extent of countries’ very different testing regimes, so higher totals may simply reflect more testing.
Deaths are somewhat more reliable, but remain problematic because countries have different rules for what deaths to include in their official numbers. The most notable difference between countries’ Covid mortality figures is whether or not they include deaths outside hospitals, particularly in care homes. Some countries like France and the UK have even changed which deaths they include during the course of the epidemic. Between May 25 and July 3, Spain’s data was not readily comparable to its earlier figures, and was temporarily removed from the chart until a revised time series was published.
For either measure, we use a seven-day rolling average to adjust for the impact of administrative delays to reporting new data over weekends.
The FT is tracking excess mortality — the difference between deaths from all causes during the pandemic and the historic seasonal average — in the handful of countries and municipalities that publish suitably recent data, and has reported on the specific circumstances in Mexico, Russia, South Africa, Turkey and the UK."
Logarithmic or linear scales
The vertical axis of our charts are shown using a logarithmic scale, where the same distance on the scale represents multiplying or dividing by the same amount, instead of adding or subtracting the same amount as is the case with a linear scale. Log scales are particularly suited to displaying trends in relative rates of change, like a virus spreading. By comparing the slopes of two lines, a log scale allows us to compare epidemics at a very early stage with those that are much more advanced, even though they have very different absolute numbers of cases or deaths.
On a log scale, an epidemic looks like a steep diagonal line that flattens towards a horizontal line as its rate of growth slows. On the more familiar linear scale, the same data looks like a hockey stick shooting upwards, which gives a better sense of the overall size of each country’s epidemic.
Adjusting for population
Unusually for cross-national data, adjusting for population isn’t strictly necessary when analysing the speed at which a virus spreads. Viruses don’t respect borders, and the rate at which they spread is not affected by the overall population of the affected country.
Population matters least in the early stages of an epidemic because cases are likely to be highly concentrated in particular regions like Hubei or Lombardy. Later, though, viewing the values per 100,000 people gives a sense of the pandemic’s relative strain on countries’ resources. Switching to the “per 100k” view won’t alter the shape of each country’s curve, but will reorder them relative to one another.
Adjusted for population, small countries with broad definitions for what cases or deaths to include in their data will look particularly badly affected, while epidemics concentrated in parts of a very populous country look surprisingly small. Try changing this setting while comparing Belgium to the US or China."
We hide countries with populations under 80,000 to avoid distorting the scale of population-adjusted charts. You can still search from them, though: Try looking at San Marino and Andorra; both European microstates have large proportions of their population affected.
Unless otherwise stated below, the data used in thses charts comes from the World Health Organization, and reflects the date that cases or deaths were recorded, rather than when they occurred.
Data for the US, Puerto Rico, Guam, American Samoa, the US Virgin Islands and Northern Mariana Islands come from The Covid Tracking Project. Data for New York state has been adjusted to redistribute nursing home deaths that were added to the official death toll on May 7 in proportion to its original data. Data for New Jersey has been adjusted to redistribute 1,854 probable Covid-19 deaths that were added to the official death toll on June 25 in proportion to its original data. To improve comparability with other countries on the daily death toll chart, the US data on the cross-national chart has been adjusted to begin displaying seven days after first averaging three daily deaths. During this period, there was a localised outbreak of Covid-19 in Washington state.
UK deaths and new cases data, and all data from that nations of the UK, comes from the UK Government coronavirus dashboard. The 20,537 cases reported in Wales between December 10 and December 17 have been redistributed equally across this period. This corrects for a backlog of more than 11,000 cases that was reported on December 17.
Data for Hong Kong, Macau, Spain, Taiwan and Turkey comes from the Johns Hopkins University Center for Systems Science and Engineering.
Cases data for Turkey prior to November 26 reflected a "new patients" metric that excluded asymptomatic cases. On December 10, Turkey updated its cumulative total of cases to reflect this change. The time series up to November 25 has been adjusted to redistribute these 792,801 additional cases in proportion to the previously known distribution of the data.
Data for Sweden after April 5 is calculated from the daily difference of cumulative figures published Tuesday through Fridays by the Swedish Public Health Agency. Unlike most other countries, Sweden uses "date of incidence" figures for its official death toll, so these "date of reporting" figures will not match official data for the most recent days.
On October 5, Mexico’s health ministry said a record increase in cumulative cases and deaths was due to the inclusion of data dating back to June. The time series between June 1 and October 8 has been adjusted to redistribute an estimated 23,845 cases and 2,450 deaths in proportion to the previously known distribution of the data.
On October 1, Argentina added 3,050 deaths to its official cumulative death toll, reflecting previous deaths recorded in the province of Buenos Aires that had not been attributed to a date. The time series up until that date has been adjusted to redistribute these deaths in proportion to the previously known distribution of the data.
On September 6, Bolivia added 1,610 deaths to its official cumulative death toll without explaination. The time series up until that date has been adjusted to redistribute these deaths in proportion to the previously known distribution of the data.
On September 6, Ecuador adjusted its methodology to cease distinguishing betwween confirmed and suspected Covid-19. This resulted in 3,752 additional deaths previously classified as suspected being added to its official cumulative death toll. The time series up until that date has been adjusted to redistributed these deaths in proportion to the previously known distribution of the data.
Data for Italy before August 17 has been adjusted to redistribute 154 deaths from March, April and May that the Parma Local Health Authority had not previously reported. These have been distributed in proportion to the previously-known data for the Emilia-Romagna region in those three months.
Data for Peru before July 23 has been adjusted to redistribute 3,688 deaths added in a revision on July 22 and 3,658 deaths added in a revision announced on August 13. Both adjustments distributed the additional deaths in proportion to the previously available data.
Data for Chile before July 18 has been adjusted to redistribute revised death totals published on June 6 and July 16, and the addition of previously unreported cases added on June 17, all in proportion to the original data.
Data for India before June 16 has been adjusted to redistribute older deaths added on that date by Maharashtra and Delhi, in proportion to its original data.
The last known update of coronavirus data from Tanzania was released on May 7.
Data for China from before April 17 has been adjusted to redistribute a data revision published on that day in proportion to its original data.
Data for France has been adjusted to redistribute nursing home deaths that were added to the official death toll on April 2 as well as revised confirmed case counts on May 5 and May 28, in proportion to its original data.
Unless otherwise stated, population figures come from the World Bank. Population data for Anguilla; Bonaire, Sint Eustatius and Saba; the Falkland Islands, and Western Sahara come from the United Nations Population Division. Data for Eritrea comes from the World Health Organisation. Local sources are used for: Cyprus, Guernsey, Jersey, Moldova, Taiwan, the United Kingdom, the United States and Vatican City.
Help us improve these charts: We are looking for further sources of national or municipal mortality data showing total deaths from all causes, preferably broken down by day or week and including figures for recent weeks. If you know of a source of this data for your area, please email firstname.lastname@example.org.
US reporting: Brooke Fox
Editing: Martin Stabe