COVID-19 - Most Populous - 20-08-06

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 12124240 254.2 198795 1.67% 1.47%
Active cases 4793258 100.5 64262 1.36% 0.45%
Deaths 389060 8.2 5087 1.32% 0.74%
Recovered 6941922145.51294461.9%1.66%
Deaths per infected 3.21%
Recovered per infected57.26%
Active per infected 39.53%
Deaths per recovered 5.6%
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 41d 22h 47d 11h
Time to reach a million cases
Time to saturate the population361d 9h >1yr

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 66 55
Active na 43 79
Deaths na 47 74
Recovered na 62 54
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
US329.4884883579312509015986515986241.110.550.461.5562d 13h151d 17h1482.2948.548.5485.210.01:10.00.33
Japan126.0144167142751034288583.163.60.312.0322d 6h220d 18h35.111.30.822.93.61:27.90.65
Brazil211.28429122125831779849322305421.47-0.140.781.4647d 14h89d 8h1378.3276.046.61055.74.41:22.60.77
Pakistan219.0172818631977060352560580.25-3.460.210.57272d 16h328d 20h128.79.02.8116.92.41:42.40.91
Indonesia266.912118753375875521756451.550.380.981.744d 22h71d 2h44.514.
Philippines108.434119460504732150668374.09.150.810.3117d 16h85d 13h110.
Russia146.745870187180539145796750690.62-0.190.610.69112d 22h114d 10h593.0123.09.9460.02.21:46.30.78
India1360.05420270746073844158513781052.970.961.733.0223d 15h40d 10h149.044.73.1101.33.01:33.10.68
Mexico126.57846269046862505173653111.28-2.760.921.5654d 12h75d 10h365.537.039.9288.613.81:7.20.79
Bangladesh168.30424965110252133061438240.80.230.850.886d 13h82d 0h148.360.
Nigeria206.144524411884930324300.77-9.440.9811.690d 2h71d 2h21.95.80.515.72.91:34.80.72
Ethiopia98.665209001150836590273.041.594.683.6523d 4h15d 3h21.
Most Populous4769.4912124240479325838906069419221.470.450.741.6647d 11h93d 15h254.2100.58.2145.55.61:17.90.57

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 Populous4769.4912124240479325838906069419225.61:17.90.570. 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