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
Brazil211.284125736151237557313866110221920.570.840.760.47121d 10h92d 1h5951.1585.7148.65216.82.91:35.10.88
Pakistan219.01766320048566143566002780.684.220.320.31101d 17h214d 20h302.822.26.6274.12.41:41.80.91
Chile19.10798448442968230709184460.763.070.310.5291d 5h222d 4h5152.4224.9120.74806.82.51:39.80.93
Egypt100.1520073935195119141536300.340.470.280.23203d 13h252d 8h200.435.111.9153.47.81:12.90.77
India1360.05412095855540720162114113930210.525.760.140.22134d 5h>1yr889.439.811.9837.71.41:70.40.94
South Africa58.7751545979206245271014726450.08-0.130.110.07stable>1yr2630.335.189.72505.63.61:27.90.95
Kuwait4.422295501431012982139420.580.040.470.5120d 11h146d 15h5193.3323.729.44840.20.61:163.90.93
Argentina44.93923226111787445561120882560.460.920.180.3150d 21h>1yr5168.4397.8123.74646.92.71:37.60.9
Mexico126.578222784326076720183217652440.170.180.20.15>1yr348d 4h1760.1206.0159.51394.611.41:8.70.79
Bangladesh168.3046008955422889495377180.682.870.320.3101d 22h217d 0h357.032.25.3319.51.71:60.20.89

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
Brazil211.284125736151237557313866110221922.91:35.10.880.030.030.030.030.0340.15Brazil
Pakistan219.01766320048566143566002782.41:41.80.910.020.020.020.020.021.77Pakistan
Chile19.10798448442968230709184462.51:39.80.930.020.020.020.020.0332.63Chile
Egypt100.1520073935195119141536307.81:12.90.770.060.060.060.060.063.22Egypt
India1360.05412095855540720162114113930211.41:70.40.940.010.010.010.010.013.22India
South Africa58.7751545979206245271014726453.61:27.90.950.030.030.030.030.0324.24South Africa
Kuwait4.422295501431012982139420.61:163.90.930.010.010.010.010.017.94Kuwait
Argentina44.93923226111787445561120882562.71:37.60.90.020.020.020.020.0333.45Argentina
Mexico126.5782227843260767201832176524411.41:8.70.790.090.090.090.090.0943.1Mexico
Bangladesh168.3046008955422889495377181.71:60.20.890.010.020.020.020.021.44Bangladesh

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

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