COVID-19 - G20 - 20-10-09

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 26716119 583.0 246467 0.93% 0.91%
Active cases 7548667 164.7 89600 1.2% 0.6%
Deaths 781015 17.0 4295 0.55% 0.47%
Recovered 18386437401.21525720.84%0.79%
Deaths per infected 2.92%
Recovered per infected68.82%
Active per infected 28.26%
Deaths per recovered 4.25%
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 74d 18h 76d 7h
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 62 75
Active na 44 84
Deaths na 43 70
Recovered na 58 62
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
Italy60.24334377070110361112375491.112.820.050.3862d 19hstable570.6116.459.9394.315.21:6.60.69
Germany83.1493204953717895992737181.222.840.030.7556d 22hstable385.444.711.5329.23.51:28.50.85
US329.4887663293441045221375230390890.650.350.290.74106d 10h240d 15h2325.81338.664.9922.47.01:14.20.4
France67.069732434596601326011032323. 19h304d 13h1092.1889.548.6153.931.61:3.20.14
Korea, South51.781245481494430226240.32- 19h245d 3h47.42.90.843.71.91:52.60.92
United Kingdom66.4365783905331334276924882.732.430.110.5925d 18h>1yr870.6802.564.43.71719.017.2:10.0
Japan126.018826765041623801400.580.290.240.46119d 14h293d 2h70.05.21.363.62.01:49.30.91
Canada37.9651806251894196381520461. 20h>1yr475.849.925.4400.56.31:15.80.84
Brazil211.284505588840339514963945028540.57-0.10.350.51122d 20h196d 7h2392.9190.970.82131.23.31:30.10.89
Turkey83.1553323823190687222917540.480.50.530.37143d 8h131d 1h399.738.410.5350.93.01:33.40.88
Indonesia266.91232465865314116772476671.360.320.761.3351d 10h91d 17h121.624.54.492.84.71:21.20.76
Saudi Arabia34.218338539926149963242820.13->1yr175d 19h989.427.114.6947.71.51:64.90.96
Russia146.74512655722382362213710051990.921.930.630.4675d 20h110d 3h862.4162.315.1685.02.21:45.50.79
India1360.054697942388318510741659888221.05-0.890.731.1266d 6h95d 3h513.264.97.9440.31.81:55.90.86
South Africa58.77568835250724175476200810.210.480.50.13336d 0h137d 17h1171.286.329.91055.02.81:35.30.9
Argentina44.939871468151102232256971411.761.131.561.4739d 14h44d 16h1939.2336.251.71551.33.31:30.00.8
Mexico126.57881002039400834976871231.250.791.01.1555d 23h69d 13h639.931.166.0542.812.21:8.20.85
G204582.31267161197548667781015183864370.910.60.470.7976d 7h149d 1h583.0164.717.0401.24.21:23.50.69

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, South51.781245481494430226241.91:52.60.920., South
United Kingdom66.4365783905331334276924881719.017.2: Kingdom
Saudi Arabia34.218338539926149963242821.51:64.90.960. Arabia
South Africa58.77568835250724175476200812.81: 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