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

Go to the data tables

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
Brazil211.284505588840339514963945028540.57-0.10.350.51122d 20h196d 7h2392.9190.970.82131.23.31:30.10.89
Pakistan219.017318266864665583030620.23-1.740.120.25300d 10h>1yr145.33.93.0138.42.21:46.30.95
Chile19.10747776914252132204502970.32-1.330.290.3216d 9h240d 19h2500.574.669.22356.72.91:34.00.94
Egypt100.151042626416029975920.1112.310.120.03>1yr>1yr104.10.66.097.46.21:16.20.94
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
Kuwait4.4211007674036491020240.560.340.570.46123d 7h121d 17h2490.4167.514.72308.20.61:156.20.93
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
Bangladesh168.3043758708048154772899120.39-0.210.420.47179d 16h167d 2h223.347.83.3172.31.91:52.90.77

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
Brazil211.284505588840339514963945028543.31:30.10.890.030.030.030.030.0319.14Brazil
Pakistan219.017318266864665583030622.21:46.30.950.020.020.020.020.020.81Pakistan
Chile19.10747776914252132204502972.91:34.00.940.030.030.030.030.0318.7Chile
Egypt100.151042626416029975926.21:16.20.940.060.060.060.060.061.63Egypt
India1360.054697942388318510741659888221.81:55.90.860.020.020.020.020.022.13India
South Africa58.77568835250724175476200812.81:35.30.90.030.030.030.030.038.07South Africa
Kuwait4.4211007674036491020240.61:156.20.930.010.010.010.010.013.97Kuwait
Argentina44.939871468151102232256971413.31:30.00.80.030.030.030.030.0313.97Argentina
Mexico126.578810020394008349768712312.21:8.20.850.10.110.110.110.1117.83Mexico
Bangladesh168.3043758708048154772899121.91:52.90.770.010.010.010.020.020.88Bangladesh

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

Impressum - Datenschutzerklärung - Contact & GDPR Data Protection Declaration