COVID-19 - Female Heads of State - 20-06-06

Data from JHU, ca. 9:00 CET

Female Heads of State is a Group with the following members:
Bangladesh - Belgium - Bolivia - Burma - Denmark - Estonia - Ethiopia - Finland - Georgia - Germany - Greece - Iceland - Moldova - Namibia - Nepal - New Zealand - Norway - San Marino - Serbia - Singapore - Slovakia - Sudan - Switzerland - Taiwan

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 461459 76.0 5454 1.2% 1.17%
Active cases 130411 21.5 -923 -0.7% 1.59%
Deaths 23994 4.0 117 0.49% 0.43%
Recovered 30705450.662602.08%0.69%
Deaths per infected 5.2%
Recovered per infected66.54%
Active per infected 28.26%
Deaths per recovered 7.81%
Projection:
Total Case Percentage
1.07%

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 58d 7h 59d 13h
Time to reach a million cases 65d 1h66d 11h
Time to saturate the population>1yr >1yr

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 60 94
Active na 59 67
Deaths na 41 80
Recovered na 55 116
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: Female Heads of State

Bangladesh - Belgium - Bolivia - Burma - Denmark - Estonia - Ethiopia - Finland - Georgia - Germany - Greece - Iceland - Moldova - Namibia - Nepal - New Zealand - Norway - San Marino - Serbia - Singapore - Slovakia - Sudan - Switzerland - Taiwan

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
Germany83.149185450781986731689580.2-3.660.240.34344d 12h289d 9h223.09.410.4203.25.11:19.50.91
Switzerland8.587309563351921287000.06-1.230.010.07stablestable360.53.922.4334.26.71:14.90.93
Belgium11.52459072333029580161900.190.070.170.24>1yr>1yr512.6289.083.1140.559.21:1.70.27
Norway5.368853115523881380.2-10.970.171.06346d 0h>1yr158.92.94.4151.62.91:34.20.95
Denmark5.82312124616587109210.38-2.180.350.45184d 23h201d 1h208.210.610.1187.65.41:18.60.9
Greece10.7252980142618013740.420.70.110.0164d 17h>1yr27.813.31.712.813.11:7.60.46
Finland5.528696484232258000.23-4.330.251.09303d 13h276d 22h126.015.25.8104.95.51:18.00.83
Singapore5.704375271294325245591.240.240.01.5156d 9h658.0226.90.4430.60.11:1000.00.65
Iceland0.364180621017940.00.00.00.0496.20.52.7492.90.61:178.60.99
Estonia1.32819311876916750.64-0.20.290.51107d 19h236d 0h145.414.15.2126.14.11:24.30.87
Taiwan23.604443774290.0-4.720.00.091.90.00.01.81.61:61.30.97
Slovakia5.45615281212813790.08-1.130.00.16stable28.02.20.525.32.01:49.30.9
Serbia6.96411741437248110560.540.130.240.6129d 1h283d 9h168.66.33.6158.82.21:44.60.94
Moldova2.6829511373033154502.611.431.162.5526d 20h60d 5h354.7139.112.3203.26.11:16.50.57
Georgia3.724808132136630.35-2.091.670.82198d 5h41d 22h21.73.50.317.82.01:51.00.82
New Zealand4.972150412214810.00.00.00.030.20.00.429.81.51:67.10.98
Bangladesh168.3046302648855846133254.944.123.853.8814d 9h18d 8h37.429.00.57.96.31:15.70.21
Bolivia11.47133581100245419024.873.154.539.0314d 13h15d 15h116.595.94.016.623.91:4.20.14
Ethiopia98.66519341633202819.018.299.913.878d 0h7d 8h2.01.70.00.37.11:14.00.15
Sudan42.3616081370835920143.291.43.114.8321d 10h22d 14h14.48.80.84.817.81:5.60.33
Nepal29.61323528571336512.3310.336.728.85d 23h10d 15h10.99.60.01.23.61:28.10.11
Burma68.672407861561.03-1.210.01.8267d 9h0.30.10.00.23.91:26.00.65
Female Heads of State607.07461459130411239943070541.171.590.430.6959d 13h161d 17h76.021.54.050.67.81:12.80.67

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
Germany83.149185450781986731689585.11:19.50.910.050.050.050.050.052.82Germany
Switzerland8.587309563351921287006.71:14.90.930.060.060.060.060.066.05Switzerland
Belgium11.524590723330295801619059.21:1.70.270.160.160.160.170.1722.47Belgium
Norway5.368853115523881382.91:34.20.950.030.030.030.030.031.2Norway
Denmark5.82312124616587109215.41:18.60.90.050.050.050.050.052.72Denmark
Greece10.72529801426180137413.11:7.60.460.060.060.060.060.060.45Greece
Finland5.528696484232258005.51:18.00.830.050.050.050.050.051.57Finland
Singapore5.704375271294325245590.11:1000.00.650.00.00.00.00.00.12Singapore
Iceland0.364180621017940.61:178.60.990.010.010.010.010.010.74Iceland
Estonia1.32819311876916754.11:24.30.870.040.040.040.040.041.4Estonia
Taiwan23.604443774291.61:61.30.970.020.020.020.020.020.01Taiwan
Slovakia5.45615281212813792.01:49.30.90.020.020.020.020.020.14Slovakia
Serbia6.96411741437248110562.21:44.60.940.020.020.020.020.020.96Serbia
Moldova2.6829511373033154506.11:16.50.570.030.040.040.040.053.34Moldova
Georgia3.724808132136632.01:51.00.820.020.020.020.020.020.09Georgia
New Zealand4.972150412214811.51:67.10.980.010.010.010.010.010.12New Zealand
Bangladesh168.3046302648855846133256.31:15.70.210.010.020.020.020.030.14Bangladesh
Bolivia11.471335811002454190223.91:4.20.140.030.040.050.050.071.07Bolivia
Ethiopia98.66519341633202817.11:14.00.150.010.010.020.020.030.01Ethiopia
Sudan42.36160813708359201417.81:5.60.330.060.070.070.080.090.23Sudan
Nepal29.6132352857133653.61:28.10.110.00.010.010.010.020.01Nepal
Burma68.672407861563.91:26.00.650.030.030.030.030.030.0Burma
Female Heads of State607.07461459130411239943070547.81:12.80.670.050.050.060.060.061.07Female Heads of State

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