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
Brazil211.284584016312851325482386174.673.972.293.415d 4h30d 15h276.4148.115.4112.913.61:7.30.41
Pakistan219.01780463498521688289234.683.394.274.0115d 3h16d 14h36.722.80.813.25.81:17.10.36
Chile19.107113628907481275216054.6312.144.73-7.3915d 7h14d 23h594.7474.96.7113.15.91:16.90.19
Egypt100.152861520177108873505.334.643.684.4113d 8h19d 4h28.620.11.17.314.81:6.80.26
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
Kuwait4.422935913379230157503.12-2.073.129.1322d 14h22d 13h664.2302.75.2356.31.51:68.50.54
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
Bangladesh168.3045514042804746115905.184.114.054.3213d 17h17d 10h32.825.40.46.96.41:15.50.21

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
Brazil211.2845840163128513254823861713.61:7.30.410.060.070.070.090.14.16Brazil
Pakistan219.01780463498521688289235.81:17.10.360.020.030.030.030.040.21Pakistan
Chile19.107113628907481275216055.91:16.90.190.010.010.010.020.021.8Chile
Egypt100.1528615201771088735014.81:6.80.260.040.050.050.060.070.29Egypt
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
Kuwait4.422935913379230157501.51:68.50.540.010.010.010.010.011.41Kuwait
Argentina44.939192681278958358969.91:10.10.310.030.040.040.050.060.35Argentina
Mexico126.57810123816829117297268016.11:6.20.720.120.130.140.160.22.5Mexico
Bangladesh168.3045514042804746115906.41:15.50.210.010.020.020.020.030.12Bangladesh

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

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