CoviMeter - Covid-19 Data - Group: Highest average percentage growth of infections (10000+ cases)

Compare: Chile - Brazil - Bangladesh - Argentina - Kuwait - India - South Africa - Egypt - Mexico - Pakistan

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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
Brazil211.284623835048494017197455814360.541.410.270.36127d 17h259d 2h2952.6229.581.42641.73.11:32.50.89
Pakistan219.0173923564686179423375530.813.510.520.386d 9h134d 7h179.121.43.6154.12.41:42.60.86
Chile19.1075472439706152785222590.24-0.530.220.2285d 11h315d 23h2864.150.880.02733.32.91:34.10.95
Egypt100.15114832583466081023900.324.080.150.08218d 17h>1yr114.75.86.6102.26.51:15.50.89
India1360.054935110945494013620087599690.460.540.290.36151d 16h236d 2h687.633.510.0644.11.61:64.50.94
South Africa58.77578194137687213787228760.372.350.370.18188d 6h189d 7h1330.464.136.41229.93.01:33.80.92
Kuwait4.4214187656998741353030.26-3.290.140.39268d 10h>1yr3209.8128.919.83061.10.71:153.80.95
Argentina44.93914072771338043821612352570.53-0.440.50.52130d 9h138d 4h3131.5297.785.02748.83.11:32.40.88
Mexico126.57810785941707711042428035810.71.180.50.6299d 23h138d 21h852.1134.982.4634.913.01:7.70.74
Bangladesh168.3044587117849165443736760.5-0.020.420.49138d 1h164d 10h272.546.63.9222.01.81:57.10.81

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
Brazil211.284623835048494017197455814363.11:32.50.890.030.030.030.030.0322.0Brazil
Pakistan219.0173923564686179423375532.41:42.60.860.020.020.020.020.020.98Pakistan
Chile19.1075472439706152785222592.91:34.10.950.030.030.030.030.0321.61Chile
Egypt100.15114832583466081023906.51:15.50.890.060.060.060.060.061.78Egypt
India1360.054935110945494013620087599691.61:64.50.940.010.010.010.020.022.71India
South Africa58.77578194137687213787228763.01:33.80.920.030.030.030.030.039.83South Africa
Kuwait4.4214187656998741353030.71:153.80.950.010.010.010.010.015.34Kuwait
Argentina44.93914072771338043821612352573.11:32.40.880.030.030.030.030.0322.98Argentina
Mexico126.578107859417077110424280358113.01:7.70.740.10.10.10.10.122.26Mexico
Bangladesh168.3044587117849165443736761.81:57.10.810.010.010.010.010.021.05Bangladesh

Credits:
Covid-19-Data from John Hopkins University.
TableSort dank Jürgen Berkemeier und SelfHTML.
Diagrams made with Matplotlib.

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