COVID-19 - Most Populous - 20-06-06

Data from JHU, ca. 9:00 CET

Most Populous is a Group with the following members:
Bangladesh - Brazil - China - Ethiopia - India - Indonesia - Japan - Mexico - Nigeria - Pakistan - Philippines - Russia - US

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 3735466 78.3 82278 2.25% 2.36%
Active cases 2194899 46.0 -226385 -9.35% 3.98%
Deaths 183397 3.8 2588 1.43% 1.68%
Recovered 135717028.530607529.12%-1.45%
Deaths per infected 4.91%
Recovered per infected36.33%
Active per infected 58.76%
Deaths per recovered 13.51%
Projection:
Total Case Percentage
1.04%

Gives the time necessary to double the existing infections - to reach a million from the existing status, or to reach the population limit of the given group (which can well be below a million). This assumes the exponential growrate of the last day or average of the last five days continues - which it does not, as there will be saturation towards the maximum. Please take these calulations with two grains of salt. As long as there is turning point in sight the data may well hold, though.
Last days rate Last average rate
Time to double cases 31d 2h 29d 17h
Time to reach a million cases
Time to saturate the population321d 2h 306d 15h

A ranking may taste a bit fishy, as this is not a competition between countries, but to compare the relative efficiency of measures taken, or for detecting which countries are likely to get critical next, this ranking imho deserves a place in this overview.
Total: 189Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 59 64
Active na 40 30
Deaths na 42 50
Recovered na 68 185
The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

Diagrams

Members of Group: Most Populous

Bangladesh - Brazil - China - Ethiopia - India - Indonesia - Japan - Mexico - Nigeria - Pakistan - Philippines - Russia - US

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
China1401.856841861244638794240.010.20.00.01stable6.00.00.35.75.81:17.10.94
US329.488192006113094101098025008491.170.770.741.4359d 11h93d 12h582.7397.433.3152.021.91:4.60.26
Japan126.01170001158915149270.25-4.710.380.63274d 20h184d 21h13.50.90.711.86.11:16.30.88
Brazil211.284672846359767359302771495.0320.193.23.914d 2h21d 23h318.5170.317.0131.213.01:7.70.41
Pakistan219.01793983594671935325815.344.663.583.6713d 7h19d 17h42.927.20.914.95.91:16.80.35
Indonesia266.9123051418806180199072.520.721.534.3627d 19h45d 16h11.47.00.73.718.21:5.50.32
Philippines108.434213401590599444412.752.260.561.7125d 13h124d 19h19.714.70.94.122.41:4.50.21
Russia146.74545810223145057172209352.03-0.212.643.8934d 12h26d 15h312.2157.73.9150.62.61:38.60.48
India1360.05424662212098169461186954.453.713.483.4315d 22h20d 6h18.18.90.58.75.81:17.10.48
Mexico126.5781136191927813511808303.993.185.373.0717d 17h13d 6h89.815.210.763.916.71:6.00.71
Bangladesh168.3046302648855846133254.944.123.853.8814d 9h18d 8h37.429.00.57.96.31:15.70.21
Nigeria206.1412233806534238262.951.782.193.4523d 20h31d 22h5.93.90.21.98.91:11.20.31
Ethiopia98.66519341633202819.018.299.913.878d 0h7d 8h2.01.70.00.37.11:14.00.15
Most Populous4769.493735466219489918339713571702.363.981.68-1.4529d 17h41d 14h78.346.03.828.513.51:7.40.36

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
China1401.856841861244638794245.81:17.10.940.060.060.060.060.060.09China
US329.4881920061130941010980250084921.91:4.60.260.060.060.060.060.079.01US
Japan126.01170001158915149276.11:16.30.880.050.050.050.060.060.2Japan
Brazil211.2846728463597673593027714913.01:7.70.410.050.060.070.080.14.6Brazil
Pakistan219.01793983594671935325815.91:16.80.350.020.030.030.030.040.24Pakistan
Indonesia266.91230514188061801990718.21:5.50.320.060.070.070.070.080.18Indonesia
Philippines108.4342134015905994444122.41:4.50.210.050.050.050.060.070.25Philippines
Russia146.74545810223145057172209352.61:38.60.480.010.010.010.020.021.05Russia
India1360.05424662212098169461186955.81:17.10.480.030.030.040.040.050.14India
Mexico126.57811361919278135118083016.71:6.00.710.120.140.150.170.22.88Mexico
Bangladesh168.3046302648855846133256.31:15.70.210.010.020.020.020.030.14Bangladesh
Nigeria206.1412233806534238268.91:11.20.310.030.030.030.040.040.04Nigeria
Ethiopia98.66519341633202817.11:14.00.150.010.010.020.020.030.01Ethiopia
Most Populous4769.4937354662194899183397135717013.51:7.40.360.050.050.060.060.071.04Most Populous

Heinsberg study

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt