COVID-19 - G20 - 20-06-06

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 4891844 106.8 84725 1.76% 1.81%
Active cases 2567403 56.0 -229621 -8.21% 3.22%
Deaths 306642 6.7 2948 0.97% 1.14%
Recovered 201779944.031139818.25%-0.75%
Deaths per infected 6.27%
Recovered per infected41.25%
Active per infected 52.48%
Deaths per recovered 15.2%
Projection:
Total Case Percentage
1.81%

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 39d 16h 38d 13h
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 54 79
Active na 38 43
Deaths na 29 61
Recovered na 57 185
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
China1401.856841861244638794240.010.20.00.01stable6.00.00.35.75.81:17.10.94
Italy60.24323480135877338461650780.14-2.210.180.68>1yr>1yr389.859.656.2274.020.51:4.90.7
Germany83.149185450781986731689580.2-3.660.240.34344d 12h289d 9h223.09.410.4203.25.11:19.50.91
US329.488192006113094101098025008491.170.770.741.4359d 11h93d 12h582.7397.433.3152.021.91:4.60.26
France67.0691907599069029145709240.16-0.30.190.6>1yr361d 1h284.4135.243.5105.741.11:2.40.37
Korea, South51.78111776951273105520.42.150.070.16171d 22hstable22.71.80.520.42.61:38.60.9
United Kingdom66.4362862942445164054812300.610.480.620.12114d 4h113d 0h430.9368.061.01.93296.633.0:10.0
Japan126.01170001158915149270.25-4.710.380.63274d 20h184d 21h13.50.90.711.86.11:16.30.88
Canada37.96596475345387850540870.67-0.390.991.17103d 4h70d 4h254.191.020.7142.514.51:6.90.56
Australia25.653725945410267030.11-1.260.00.19>1yr28.31.80.426.11.51:65.80.92
Brazil211.284672846359767359302771495.0320.193.23.914d 2h21d 23h318.5170.317.0131.213.01:7.70.41
Turkey83.1551692182922746691353220.53-0.620.370.68130d 1h187d 16h203.535.15.6162.73.51:29.00.8
Indonesia266.9123051418806180199072.520.721.534.3627d 19h45d 16h11.47.00.73.718.21:5.50.32
Saudi Arabia34.2189886926402676717912.561.914.131.927d 10h17d 3h288.977.22.0209.80.91:106.40.73
Russia146.74545810223145057172209352.03-0.212.643.8934d 12h26d 15h312.2157.73.9150.62.61:38.60.48
India1360.05424662212098169461186954.453.713.483.4315d 22h20d 6h18.18.90.58.75.81:17.10.48
South Africa58.7754597320763952242586.013.555.236.011d 21h13d 14h78.235.31.641.33.91:25.50.53
Argentina44.939220201519264861804.84.812.611.9814d 18h26d 22h49.033.81.413.810.51:9.50.28
Mexico126.5781136191927813511808303.993.185.373.0717d 17h13d 6h89.815.210.763.916.71:6.00.71
G204582.314891844256740330664220177991.813.221.14-0.7538d 13h61d 7h106.856.06.744.015.21:6.60.41

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
China1401.856841861244638794245.81:17.10.940.060.060.060.060.060.09China
Italy60.243234801358773384616507820.51:4.90.70.140.140.150.150.1515.18Italy
Germany83.149185450781986731689585.11:19.50.910.050.050.050.050.052.82Germany
US329.4881920061130941010980250084921.91:4.60.260.060.060.060.060.079.01US
France67.06919075990690291457092441.11:2.40.370.150.150.150.160.1611.74France
Korea, South51.78111776951273105522.61:38.60.90.020.020.020.020.020.14Korea, South
United Kingdom66.4362862942445164054812303296.633.0:10.00.140.150.150.150.1616.5United Kingdom
Japan126.01170001158915149276.11:16.30.880.050.050.050.060.060.2Japan
Canada37.965964753453878505408714.51:6.90.560.080.080.080.090.095.59Canada
Australia25.653725945410267031.51:65.80.920.010.010.010.010.010.11Australia
Brazil211.2846728463597673593027714913.01:7.70.410.050.060.070.080.14.6Brazil
Turkey83.1551692182922746691353223.51:29.00.80.030.030.030.030.031.52Turkey
Indonesia266.91230514188061801990718.21:5.50.320.060.070.070.070.080.18Indonesia
Saudi Arabia34.2189886926402676717910.91:106.40.730.010.010.010.010.010.53Saudi Arabia
Russia146.74545810223145057172209352.61:38.60.480.010.010.010.020.021.05Russia
India1360.05424662212098169461186955.81:17.10.480.030.030.040.040.050.14India
South Africa58.7754597320763952242583.91:25.50.530.020.030.030.030.040.44South Africa
Argentina44.9392202015192648618010.51:9.50.280.030.040.040.040.050.39Argentina
Mexico126.57811361919278135118083016.71:6.00.710.120.140.150.170.22.88Mexico
G204582.3148918442567403306642201779915.21:6.60.410.060.070.070.070.081.81G20

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