COVID-19 - EU - 20-11-27

Data from JHU, ca. 9:00 CET

EU is a Group with the following members:
Austria - Belgium - Bulgaria - Croatia - Cyprus - Czechia - Denmark - Estonia - Finland - France - Germany - Greece - Hungary - Ireland - Italy - Latvia - Lithuania - Luxembourg - Malta - Netherlands - Poland - Portugal - Romania - Slovakia - Slovenia - Spain - Sweden

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 11317352 2526.5 154967 1.39% 1.39%
Active cases 7178167 1602.5 48194 0.68% 0.46%
Deaths 259181 57.9 4391 1.72% 1.28%
Recovered 3880004866.21023822.71%2.41%
Deaths per infected 2.29%
Recovered per infected34.28%
Active per infected 63.43%
Deaths per recovered 6.68%
Projection:
Total Case Percentage
15.64%

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 50d 6h 50d 4h
Time to reach a million cases
Time to saturate the population266d 18h 266d 8h

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: 192Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 36 52
Active na 9 92
Deaths na 25 36
Recovered na 56 20
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: EU

Austria - Belgium - Bulgaria - Croatia - Cyprus - Czechia - Denmark - Estonia - Finland - France - Germany - Greece - Hungary - Ireland - Italy - Latvia - Lithuania - Luxembourg - Malta - Netherlands - Poland - Portugal - Romania - Slovakia - Slovenia - Spain - Sweden

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
Italy60.2431538217787893536776966471.77-0.251.193.6539d 10h58d 16h2553.31307.889.11156.47.71:13.00.45
Spain47.116282081433164446681503760.90.850.810.077d 3h85d 18h3456.93042.894.8319.329.71:3.40.09
Germany83.1491038649317425160117052132.180.672.012.3132d 1h34d 17h1249.1381.819.3848.12.31:44.10.68
France67.06922482092030717519991654930.520.360.90.82134d 20h77d 5h3352.13027.877.5246.831.41:3.20.07
Netherlands17.447517045500849934368530.990.760.650.4770d 15h107d 16h2963.62870.753.639.3136.31.4:10.01
Austria8.9032709926485528862032511.86-2.383.053.0237d 16h23d 2h3044.0728.532.42283.11.41:70.40.75
Belgium11.52457082955449016339311300.430.30.760.0162d 9h91d 16h4953.24811.4141.80.052.51:1.90.05
Sweden10.334243129236448668149713.182.660.670.022d 3h104d 5h2352.82288.264.70.0134.41.3:10.02
Denmark5.8237723615592816608281.71.230.681.3941d 4h102d 5h1326.4267.814.01044.71.31:74.60.79
Portugal10.2772858388211642761994461.85-0.391.562.3337d 17h44d 21h2781.4799.141.61940.82.11:46.70.7
Czechia10.6945159848299179674250260.95-3.641.571.6573d 14h44d 9h4825.0776.174.53974.51.91:53.50.82
Ireland4.92171699462922043233640.350.450.130.0198d 23h>1yr1456.9940.641.5474.78.71:11.40.33
Greece10.725101287761112102230742.032.14.210.034d 12h16d 19h944.4709.719.6215.29.11:11.00.23
Finland5.528237666573393168001.890.460.691.9636d 22h101d 1h430.0118.97.1303.92.31:42.70.71
Poland38.386958416425633161475166362.160.342.733.1632d 9h25d 17h2496.81108.842.11345.93.11:31.90.54
Luxembourg0.614334099036300240732.35-0.612.53.2429d 21h28d 1h5442.11471.948.93921.31.21:80.00.72
Slovenia2.09472674202601293511212.160.063.442.432d 9h20d 11h3470.4967.561.72441.22.51:39.50.7
Romania19.405457848120307108843266571.810.31.291.8638d 16h53d 23h2359.4620.056.11683.33.31:30.00.71
Estonia1.32811323450910467103.092.142.392.722d 17h29d 7h852.4339.47.8505.11.61:64.50.59
Slovakia5.45610310643050771592851.39-2.332.234.2350d 5h31d 10h1889.6789.014.11086.51.31:76.90.57
Croatia4.076119706224081600956982.911.772.792.3224d 3h25d 4h2936.7549.739.32347.71.71:59.90.8
Bulgaria7.0139955895353680467402.821.384.174.2324d 23h16d 22h1999.41279.152.6667.77.91:12.70.33
Latvia1.907158081389919017193.813.234.241.0118d 12h16d 16h829.0728.910.090.211.11:9.00.11
Hungary9.7731984401419504364521262.591.572.173.0527d 1h32d 7h2030.51452.544.7533.48.41:11.90.26
Cyprus0.875998378784820572.932.971.770.024d 0h39d 12h1140.9900.35.5235.12.31:42.90.21
Malta0.4949501207612872971.26-0.382.411.4955d 7h29d 1h1924.8420.625.91478.31.81:57.10.77
Lithuania2.7935609542110471135143.582.643.092.9719d 16h22d 18h2008.11507.516.9483.83.51:28.70.24
EU447.9411317352717816725918138800041.390.461.282.4150d 4h54d 15h2526.51602.557.9866.26.71:15.00.34

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
Italy60.2431538217787893536776966477.71:13.00.450.030.040.040.040.0524.08Italy
Spain47.1162820814331644466815037629.71:3.40.090.030.030.030.030.0325.63Spain
Germany83.1491038649317425160117052132.31:44.10.680.020.020.020.020.025.2Germany
France67.069224820920307175199916549331.41:3.20.070.020.020.020.020.0320.95France
Netherlands17.44751704550084993436853136.31.4:10.010.020.020.020.020.0214.47Netherlands
Austria8.9032709926485528862032511.41:70.40.750.010.010.010.010.018.76Austria
Belgium11.524570829554490163393113052.51:1.90.050.030.030.030.030.0338.32Belgium
Sweden10.33424312923644866814971134.41.3:10.020.030.030.030.030.0417.47Sweden
Denmark5.8237723615592816608281.31:74.60.790.010.010.010.010.013.79Denmark
Portugal10.2772858388211642761994462.11:46.70.70.010.020.020.020.0211.25Portugal
Czechia10.6945159848299179674250261.91:53.50.820.020.020.020.020.0220.14Czechia
Ireland4.92171699462922043233648.71:11.40.330.030.030.030.030.0311.22Ireland
Greece10.725101287761112102230749.11:11.00.230.020.020.020.030.035.3Greece
Finland5.528237666573393168002.31:42.70.710.020.020.020.020.021.92Finland
Poland38.386958416425633161475166363.11:31.90.540.020.020.020.020.0211.37Poland
Luxembourg0.614334099036300240731.21:80.00.720.010.010.010.010.0113.21Luxembourg
Slovenia2.09472674202601293511212.51:39.50.70.020.020.020.020.0216.69Slovenia
Romania19.405457848120307108843266573.31:30.00.710.020.030.030.030.0315.16Romania
Estonia1.32811323450910467101.61:64.50.590.010.010.010.010.012.12Estonia
Slovakia5.45610310643050771592851.31:76.90.570.010.010.010.010.013.82Slovakia
Croatia4.076119706224081600956981.71:59.90.80.010.020.020.020.0210.61Croatia
Bulgaria7.0139955895353680467407.91:12.70.330.030.030.030.030.0414.21Bulgaria
Latvia1.9071580813899190171911.11:9.00.110.010.010.010.020.022.69Latvia
Hungary9.7731984401419504364521268.41:11.90.260.020.020.030.030.0312.07Hungary
Cyprus0.875998378784820572.31:42.90.210.00.010.010.010.011.48Cyprus
Malta0.4949501207612872971.81:57.10.770.010.010.010.020.027.01Malta
Lithuania2.7935609542110471135143.51:28.70.240.010.010.010.010.014.56Lithuania
EU447.9411317352717816725918138800046.71:15.00.340.020.020.020.030.0315.64EU

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