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
Brazil211.28429122125831779849322305421.47-0.140.781.4647d 14h89d 8h1378.3276.046.61055.74.41:22.60.77
Pakistan219.0172818631977060352560580.25-3.460.210.57272d 16h328d 20h128.79.02.8116.92.41:42.40.91
Chile19.1073666711661498893401680.5-1.110.540.47139d 6h129d 3h1919.087.051.81780.32.91:34.40.93
Egypt100.1595006411574951488980.15-2.420.392.79>1yr176d 3h94.941.14.948.810.11:9.90.51
India1360.05420270746073844158513781052.970.961.733.0223d 15h40d 10h149.044.73.1101.33.01:33.10.68
South Africa58.77553818414126496043873161.35-1.232.681.9651d 16h26d 5h915.7240.316.3659.02.51:40.30.72
Kuwait4.42700457966469616100.76-1.00.650.891d 17h106d 7h1584.7180.210.61393.90.81:131.60.88
Argentina44.9392281951240924251998523.032.372.72.3123d 4h25d 23h507.8276.19.5222.24.31:23.50.44
Mexico126.57846269046862505173653111.28-2.760.921.5654d 12h75d 10h365.537.039.9288.613.81:7.20.79
Bangladesh168.30424965110252133061438240.80.230.850.886d 13h82d 0h148.360.92.085.52.31:43.50.58

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
Brazil211.28429122125831779849322305424.41:22.60.770.030.040.040.040.0412.6Brazil
Pakistan219.0172818631977060352560582.41:42.40.910.020.020.020.020.020.74Pakistan
Chile19.1073666711661498893401682.91:34.40.930.030.030.030.030.0313.99Chile
Egypt100.15950064115749514889810.11:9.90.510.050.050.050.050.051.34Egypt
India1360.05420270746073844158513781053.01:33.10.680.020.020.020.030.030.83India
South Africa58.77553818414126496043873162.51:40.30.720.020.020.020.020.024.42South Africa
Kuwait4.42700457966469616100.81:131.60.880.010.010.010.010.012.87Kuwait
Argentina44.9392281951240924251998524.31:23.50.440.020.020.020.020.032.56Argentina
Mexico126.578462690468625051736531113.81:7.20.790.110.120.120.130.1310.79Mexico
Bangladesh168.30424965110252133061438242.31:43.50.580.010.010.010.010.020.53Bangladesh

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

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