COVID-19 - G20 - 20-08-06

Data from JHU, ca. 9:00 CET

G20 is a Group with the following members:
Argentina - Australia - Brazil - Canada - China - France - Germany - India - Indonesia - Italy - Japan - Korea, South - Mexico - Russia - Saudi Arabia - South Africa - Turkey - US - United Kingdom

Go to the data tables

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 13855506 302.4 216410 1.59% 1.37%
Active cases 5327249 116.3 68701 1.31% 0.42%
Deaths 529738 11.6 5725 1.09% 0.61%
Recovered 7998519174.61419841.81%1.53%
Deaths per infected 3.82%
Recovered per infected57.73%
Active per infected 38.45%
Deaths per recovered 6.62%
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 44d 0h 50d 19h
Time to reach a million cases
Time to saturate the population>1yr >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 61 64
Active na 39 79
Deaths na 36 79
Recovered na 57 57
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: G20

Argentina - Australia - Brazil - Canada - China - France - Germany - India - Indonesia - Italy - Japan - Korea, South - Mexico - Russia - Saudi Arabia - South Africa - Turkey - US - United Kingdom

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
Germany83.1492150391057791811952810.382.440.050.2182d 22hstable258.612.711.0234.94.71:21.30.91
US329.4884883579312509015986515986241.110.550.461.5562d 13h151d 17h1482.2948.548.5485.210.01:10.00.33
France67.06923131011841030308825920.540.50.020.13128d 21hstable344.9176.545.2123.136.71:2.70.36
Korea, South51.78114519673303135430.21-2.850.070.36327d 2hstable28.01.30.626.22.21:44.60.93
United Kingdom66.4363097962618514649814470. 0hstable466.3394.170.02.23213.432.1:10.0
Japan126.0144167142751034288583.163.60.312.0322d 6h220d 18h35.111.30.822.93.61:27.90.65
Canada37.965120374669690131046650.310.560.050.25222d 0hstable317.117.623.7275.78.61:11.60.87
Australia25.653202728887266111192.543.124.251.4127d 16h16d 15h79.
Brazil211.28429122125831779849322305421.47-0.140.781.4647d 14h89d 8h1378.3276.046.61055.74.41:22.60.77
Turkey83.1552372651092157982205460.460.340.260.37150d 15h269d 1h285.313.17.0265.22.61:38.00.93
Indonesia266.912118753375875521756451.550.380.981.744d 22h71d 2h44.514.
Saudi Arabia34.2182842263408230552470890.48-1.410.910.65144d 5h76d 20h830.699.68.9722.11.21:80.60.87
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
South Africa58.77553818414126496043873161.35-1.232.681.9651d 16h26d 5h915.7240.316.3659.02.51:40.30.72
Argentina44.9392281951240924251998523.032.372.72.3123d 4h25d 23h507.8276.19.5222.24.31:23.50.44
Mexico126.57846269046862505173653111.28-2.760.921.5654d 12h75d 10h365.537.039.9288.613.81:7.20.79
G204582.3113855506532724952973879985191.370.420.611.5350d 19h114d 17h302.4116.311.6174.66.61:15.10.58

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
Deaths per infected ... days agoPossible
Total %
absolute values% / ratio0d5d7d10d14d
Korea, South51.78114519673303135432.21:44.60.930., South
United Kingdom66.4363097962618514649814473213.432.1: Kingdom
Saudi Arabia34.2182842263408230552470891.21:80.60.870. Arabia
South Africa58.77553818414126496043873162.51:40.30.720. Africa

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