COVID-19 - Most Populous - 20-06-03

Data from JHU, ca. 9:00 CET

Most Populous is a Group with the following members:
Bangladesh - Brazil - China - Ethiopia - India - Indonesia - Japan - Mexico - Nigeria - Pakistan - Philippines - Russia - US

Go to the data tables

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 3482576 73.0 79119 2.32% 2.25%
Active cases 2067909 43.4 25981 1.27% 1.22%
Deaths 173729 3.6 4026 2.37% 1.24%
Recovered 124093826.0491124.12%2.88%
Deaths per infected 4.99%
Recovered per infected35.63%
Active per infected 59.38%
Deaths per recovered 14.0%
Total Case Percentage

Gives the time necessary to double the existing infections - to reach a million from the existing status, or to reach the population limit of the given group (which can well be below a million). This assumes the exponential growrate of the last day or average of the last five days continues - which it does not, as there will be saturation towards the maximum. Please take these calulations with two grains of salt. As long as there is turning point in sight the data may well hold, though.
Last days rate Last average rate
Time to double cases 30d 3h 31d 5h
Time to reach a million cases
Time to saturate the population314d 6h 325d 6h

A ranking may taste a bit fishy, as this is not a competition between countries, but to compare the relative efficiency of measures taken, or for detecting which countries are likely to get critical next, this ranking imho deserves a place in this overview.
Total: 189Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 59 71
Active na 40 75
Deaths na 40 58
Recovered na 68 51
The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!


Members of Group: Most Populous

Bangladesh - Brazil - China - Ethiopia - India - Indonesia - Japan - Mexico - Nigeria - Pakistan - Philippines - Russia - US

Data by Country

Click on the header to sort - Click on the name for the countries dashboard! - Only countries with more then 100 infections and more then 100.000 citizens are listed!
Click top row to sort:±±±±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredInfectedActiveDeathsRecoveredInfectedDeathsInfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
US329.488185152012650871071754792581.180.40.652.759d 1h107d 7h561.9384.032.5145.522.41:4.50.26
Japan126.01168671260905147020.23-2.990.340.52299d 13h206d 10h13.41.00.711.76.21:16.20.87
Brazil211.284584016312851325482386174.673.972.293.415d 4h30d 15h276.4148.115.4112.913.61:7.30.41
Pakistan219.01780463498521688289234.683.394.274.0115d 3h16d 14h36.722.80.813.25.81:17.10.36
Indonesia266.9122823318129169884062.290.861.824.1330d 15h38d 9h10.
Philippines108.434197481462197441533. 4h137d 15h18.
Russia146.74543171523094852081955592.180.672.853.2432d 4h24d 16h294.2157.43.5133.32.71:37.60.45
India1360.05421682410666560881040714.563.333.213.9715d 13h21d 22h15.
Mexico126.5781012381682911729726803.650.922.483.4219d 8h28d 6h80.013.39.357.416.11:6.20.72
Bangladesh168.3045514042804746115905. 17h17d 10h32.825.
Nigeria206.1411166752231533293.732.773.783.7618d 22h18d 15h5.
Ethiopia98.66514861223172468.967.6612.653.278d 1h5d 19h1.
Most Populous4769.493482576206790917372912409382. 5h56d 10h73.043.43.626.014.01:7.10.36

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
Deaths per infected ... days agoPossible
Total %
absolute values% / ratio0d5d7d10d14d
Most Populous4769.4934825762067909173729124093814.01:7.10.360. Populous

Heinsberg study

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt