COVID-19 - G20 - 20-06-03

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 4556107 99.4 5941 0.13% 1.38%
Active cases 2375448 51.8 -53363 -2.2% 0.87%
Deaths 295544 6.4 4667 1.6% 0.86%
Recovered 188511541.1546372.98%2.09%
Deaths per infected 6.49%
Recovered per infected41.38%
Active per infected 52.14%
Deaths per recovered 15.68%
Projection:
Total Case Percentage
1.74%

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 >1yr 50d 17h
Time to reach a million cases
Time to saturate the populationstable >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 55 92
Active na 39 84
Deaths na 29 69
Recovered na 57 69
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!

Diagrams

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
infected
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
China1401.856841601184638794040.013.760.00.0stable6.00.00.35.75.81:17.10.94
Italy60.24323383639297336011609380.14-2.860.180.93>1yr>1yr388.265.255.8267.120.91:4.80.69
Germany83.149184121806686021674530.13-3.030.140.29>1yr>1yr221.49.710.3201.45.11:19.50.91
US329.488185152012650871071754792581.180.40.652.759d 1h107d 7h561.9384.032.5145.522.41:4.50.26
France67.069114400158032902469573-7.690.070.160.3>1yr170.623.643.3103.741.71:2.40.61
Korea, South51.78111629857273104990.331.90.30.13212d 15h234d 17h22.51.70.520.32.61:38.50.9
United Kingdom66.4362812702402473981112120.630.470.630.88110d 18h111d 3h423.4361.659.91.83284.732.8:10.0
Japan126.01168671260905147020.23-2.990.340.52299d 13h206d 10h13.41.00.711.76.21:16.20.87
Canada37.96594641355567579515060.81-0.11.151.1586d 3h60d 13h249.393.720.0135.714.71:6.80.54
Australia25.653724049010266480.160.63-0.190.09>1yr28.21.90.425.91.51:65.40.92
Brazil211.284584016312851325482386174.673.972.293.415d 4h30d 15h276.4148.115.4112.913.61:7.30.41
Turkey83.1551664223096146091308520.53-0.390.420.62132d 7h163d 16h200.137.25.5157.43.51:28.40.79
Indonesia266.9122823318129169884062.290.861.824.1330d 15h38d 9h10.66.80.63.120.21:5.00.3
Saudi Arabia34.2189118222444579681592.2-1.333.712.9231d 19h19d 0h266.565.61.7199.20.81:117.60.75
Russia146.74543171523094852081955592.180.672.853.2432d 4h24d 16h294.2157.43.5133.32.71:37.60.45
India1360.05421682410666560881040714.563.333.213.9715d 13h21d 22h15.97.80.47.75.81:17.10.48
South Africa58.7753752517051792196825.124.394.353.9713d 21h16d 6h63.829.01.333.54.01:24.90.52
Argentina44.939192681278958358964.563.61.823.6615d 13h38d 8h42.928.51.313.19.91:10.10.31
Mexico126.5781012381682911729726803.650.922.483.4219d 8h28d 6h80.013.39.357.416.11:6.20.72
G204582.314556107237544829554418851151.380.870.862.0950d 17h80d 23h99.451.86.441.115.71:6.40.41

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
infected
Deaths per infected ... days agoPossible
Total %
Country
absolute values% / ratio0d5d7d10d14d
China1401.856841601184638794045.81:17.10.940.060.060.060.060.060.09China
Italy60.243233836392973360116093820.91:4.80.690.140.140.140.150.1515.07Italy
Germany83.149184121806686021674535.11:19.50.910.050.050.050.050.052.8Germany
US329.4881851520126508710717547925822.41:4.50.260.060.060.060.060.078.79US
France67.06911440015803290246957341.71:2.40.610.250.150.160.160.1611.7France
Korea, South51.78111629857273104992.61:38.50.90.020.020.020.020.020.14Korea, South
United Kingdom66.4362812702402473981112123284.732.8:10.00.140.150.150.150.1616.2United Kingdom
Japan126.01168671260905147026.21:16.20.870.050.050.050.050.060.19Japan
Canada37.965946413555675795150614.71:6.80.540.080.080.080.090.095.4Canada
Australia25.653724049010266481.51:65.40.920.010.010.010.010.010.11Australia
Brazil211.2845840163128513254823861713.61:7.30.410.060.070.070.090.14.16Brazil
Turkey83.1551664223096146091308523.51:28.40.790.030.030.030.030.031.5Turkey
Indonesia266.91228233181291698840620.21:5.00.30.060.070.070.070.080.17Indonesia
Saudi Arabia34.2189118222444579681590.81:117.60.750.010.010.010.010.010.46Saudi Arabia
Russia146.74543171523094852081955592.71:37.60.450.010.010.010.010.020.96Russia
India1360.05421682410666560881040715.81:17.10.480.030.030.040.040.050.12India
South Africa58.7753752517051792196824.01:24.90.520.020.030.030.030.040.36South Africa
Argentina44.939192681278958358969.91:10.10.310.030.040.040.050.060.35Argentina
Mexico126.57810123816829117297268016.11:6.20.720.120.130.140.160.22.5Mexico
G204582.3145561072375448295544188511515.71:6.40.410.060.070.070.070.081.74G20

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