CoviMeter V1.0 - 20-03-30

CoviMeter is the result of a math and computer science teacher locked up with too much time at hands staring at data...
Update daily with data from the Johns Hopkins University, ca. 9:00 CET. - Auch auf deutsch: covimeter.de

New: Rankings on the single pages, comparative developments (linear and logarithmic) on central and group pages!


Group Comparison Diagrams


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)InfectedActiveDeathsRecoveredNew casesGrowth %Infected
5d % ave
DoublingDeaths
5d % ave
Infected
p. 100.000
Deaths
p. 100.000
Deaths/
Recovered
Deaths per
infected
Recovered per
infected
China1401.856821522947330175904950.10.1>1yr0.15.90.21:23.3 ~ 4.0%0.040.92
Italy60.2439768973880107791303052175.67.110d 2h8.1162.217.91:1.2 ~ 83.0%0.110.13
Iran83.298383092327826401239129018.29.17d 23h5.446.03.21:4.7 ~ 21.0%0.070.32
Spain47.1801105859868031470968759.413.85d 8h15.1170.114.41:2.2 ~ 46.0%0.090.18
Germany83.1496243552683541921147408.213.65d 10h22.875.10.71:16.9 ~ 6.0%0.010.15
US329.488143025136016215348561836014.721.03d 15h21.643.40.71:2.3 ~ 44.0%0.010.03
France67.06940723308872610722626186.912.55d 21h16.460.73.91:2.8 ~ 36.0%0.060.18
Korea, South51.781966142751585228780.81.163d 8h3.918.70.31:33.3 ~ 3.0%0.020.54
Switzerland8.587148291293430015957535.38.58d 11h17.1172.73.51:5.3 ~ 19.0%0.020.11
United Kingdom66.43619784184051228151247214.319.43d 21h20.029.81.88.1:1 ~ 813.0%0.060.01
Netherlands17.447109309906771253111111.314.45d 3h18.662.64.43.0:1 ~ 305.0%0.070.02
Austria8.90387888223864795176.310.96d 16h20.998.71.01:5.6 ~ 18.0%0.010.06
Belgium11.5241083690464311359170218.620.53d 17h24.694.03.71:3.2 ~ 32.0%0.040.12
Norway5.368428442512672526.28.48d 14h14.779.80.53.7:1 ~ 371.0%0.010.0
Sweden10.33437003574110162537.310.07d 6h23.135.81.16.9:1 ~ 688.0%0.030.0
Denmark5.8232564241972731988.48.38d 16h15.744.01.21:1.0 ~ 99.0%0.030.03
Japan126.01186613885442417310.29.47d 17h3.91.50.01:7.9 ~ 13.0%0.030.23
Malaysia32.72624702047353881506.58.88d 5h11.47.50.11:11.1 ~ 9.0%0.010.16
Canada37.965632057926246666511.817.84d 5h17.916.60.21:7.5 ~ 13.0%0.010.07
Portugal10.277596258001194379215.320.43d 17h25.658.01.22.8:1 ~ 277.0%0.020.01
Czechia10.6942817279016111867.115.24d 21h34.426.30.11.5:1 ~ 146.0%0.010.0
Australia25.65341973937162442626.713.05d 16h591.816.40.11:15.2 ~ 7.0%0.00.06
Israel9.175424741001513262817.417.14d 9h35.346.30.21:8.8 ~ 11.0%0.00.03
Brazil211.2844256411413663529.013.75d 9h20.42.00.122.7:1 ~ 2267.0%0.030.0
Ireland4.921261525644652008.314.65d 2h43.853.10.99.2:1 ~ 920.0%0.020.0
Greece10.725115610653952959.09.27d 21h10.110.80.41:1.3 ~ 75.0%0.030.04
Qatar2.747634586048447.53.818d 14h023.10.0na0.00.08
Pakistan219.0171597155414291026.810.56d 22h11.60.70.01:2.1 ~ 48.0%0.010.02
Finland5.528124012191110736.39.47d 17h67.122.40.21.1:1 ~ 110.0%0.010.01
Turkey83.15592178981131105181524.538.12d 3h20.311.10.21.2:1 ~ 125.0%0.010.01
Poland38.3861862183322722413.715.64d 18h13.44.90.13.1:1 ~ 314.0%0.010.0
Singapore5.7048446293212425.28.78d 7h0.014.80.11:71.4 ~ 1.0%0.00.25
Chile19.1072139205777523012.018.44d 2h25.711.20.01:10.8 ~ 9.0%0.00.04
Luxembourg0.6141950188921401196.512.35d 23h19.8317.63.41:1.9 ~ 52.0%0.010.02
Iceland0.36410208852135575.99.57d 15h0.0280.20.01:66.7 ~ 2.0%0.00.13
Slovenia2.0947307091110466.78.88d 5h19.034.90.51.1:1 ~ 110.0%0.010.01
Indonesia266.912128511071146413011.313.45d 12h13.70.50.01.8:1 ~ 178.0%0.090.05
Bahrain1.5434992234272234.85.014d 4h6.732.30.31:66.7 ~ 2.0%0.010.55
Romania19.405181515664320636325.018.14d 3h26.59.40.21:4.8 ~ 21.0%0.020.11
Saudi Arabia34.21812991225866968.011.26d 12h36.73.80.01:8.3 ~ 12.0%0.010.05
Thailand66.48413881152722914311.58.58d 11h10.02.10.01:32.3 ~ 3.0%0.010.17
Estonia1.328679656320345.313.45d 12h051.10.21:6.7 ~ 15.0%0.00.03
Ecuador17.449192418635831015.512.35d 23h12.511.00.319.3:1 ~ 1933.0%0.030.0
Egypt100.1560943740132335.78.78d 7h12.90.60.01:3.3 ~ 30.0%0.070.22
Peru32.131852818181618127.015.74d 18h19.32.70.11.1:1 ~ 112.0%0.020.02
Philippines108.43414181305714234331.921.23d 14h14.61.30.11.7:1 ~ 169.0%0.050.03
Russia146.7451534146286427021.425.53d 1h46.71.00.01:8.0 ~ 12.0%0.010.04
India1360.05410249022795373.712.95d 17h20.80.10.01:3.5 ~ 28.0%0.030.09
Iraq39.12854736242143418.111.76d 6h9.51.40.11:3.4 ~ 29.0%0.080.26
Lebanon6.8254383981030266.36.610d 20h16.76.40.11:3.0 ~ 33.0%0.020.07
South Africa58.77512801249031937.818.84d 0h02.20.0na0.00.02
Kuwait4.42255188067208.56.011d 21h05.80.0na0.00.26
United Arab Emirates9.8957050935810221.818.74d 1h0.05.80.01:19.2 ~ 5.0%0.010.1
Panama4.219989961244889.817.64d 6h24.623.40.66.0:1 ~ 600.0%0.020.0
Taiwan23.604298256339155.36.810d 12h0.01.30.01:13.0 ~ 8.0%0.010.13
Argentina44.93982070920917510.116.44d 13h27.41.80.01:4.5 ~ 22.0%0.020.11
Slovakia5.45631431212227.59.17d 23h0.05.80.01:2.0 ~ 50.0%0.00.01
Armenia2.958424391330174.211.46d 10h014.30.11:10.0 ~ 10.0%0.010.07
Mexico126.578993938203514517.122.13d 11h33.30.80.01:1.8 ~ 57.0%0.020.04
Croatia4.076713652655568.513.35d 13h53.317.50.11:9.2 ~ 11.0%0.010.08
Bulgaria7.0346324814154.59.77d 11h26.74.90.11:1.8 ~ 57.0%0.020.04
Serbia6.96474172813158212.420.53d 17h171.710.60.21:1.2 ~ 87.0%0.020.02
Colombia49.39670268210109415.513.45d 12h16.71.40.01.0:1 ~ 100.0%0.010.01
Uruguay3.5193043040000.010.17d 4h08.60.0na0.00.0
Algeria43.051144931315712.614.25d 5h9.01.20.11.0:1 ~ 100.0%0.060.06
Costa Rica5.05831431123196.412.26d 0h0.06.20.01:1.5 ~ 67.0%0.010.01
Latvia1.907347346014213.812.06d 2h018.20.0na0.00.0
Vietnam96.209194169025158.47.79d 8h00.20.0na0.00.13
Brunei0.4421269203465.03.918d 2h028.50.0na0.00.27
Hungary9.77340836113346519.017.64d 6h4.24.20.11:2.6 ~ 38.0%0.030.08
Jordan10.641259238318135.311.26d 12h02.40.01:6.0 ~ 17.0%0.010.07
Cyprus0.8752141936153519.611.66d 7h13.324.50.71:2.5 ~ 40.0%0.030.07
Albania2.8622121691033157.611.76d 6h15.77.40.31:3.3 ~ 30.0%0.050.16
Bosnia and Herzegovina3.301323309684516.214.25d 5h16.79.80.21:1.3 ~ 75.0%0.020.03
Morocco35.84547944026137719.223.23d 7h44.21.30.12.0:1 ~ 200.0%0.050.03
Sri Lanka21.80312010901154.33.321d 8h00.60.0na0.00.09
Malta0.4941511490221.36.710d 16h030.60.0na0.00.01
Moldova2.682263261223213.916.14d 15h20.09.80.01.0:1 ~ 100.0%0.010.01
Lithuania2.793460452716616.817.44d 7h33.016.50.37.0:1 ~ 700.0%0.010.0
Oman4.665167144023159.914.85d 0h03.60.0na0.00.14
North Macedonia2.07725925063187.511.96d 3h16.712.50.32.0:1 ~ 200.0%0.020.01
Azerbaijan10.0672091904152714.819.73d 20h36.72.10.01:3.7 ~ 27.0%0.020.07
Kazakhstan18.6672842641205624.629.92d 15h-13.31.50.01:20.0 ~ 5.0%0.00.07
Venezuela32.2191197733900.05.712d 12h00.40.01:13.0 ~ 8.0%0.030.33
New Zealand4.97251445106300.020.93d 15h010.30.0na0.00.12
Tunisia11.722312302823412.223.13d 8h15.22.70.14.0:1 ~ 400.0%0.030.01
Cambodia15.2891038202100.02.133d 8h00.70.0na0.00.2
Dominican Republic10.35885981739314019.522.53d 9h41.38.30.413.0:1 ~ 1300.0%0.040.0
Burkina Faso20.872221871223157.214.65d 2h25.21.10.11:1.9 ~ 52.0%0.050.1
Senegal16.209142115027129.210.66d 21h00.90.0na0.00.19
Ukraine41.90247545910611933.436.82d 5h29.31.10.01.7:1 ~ 167.0%0.020.01
Uzbekistan34.081144137074038.524.43d 4h00.40.0na0.00.05
Afghanistan32.22612011442109.110.37d 1h40.00.40.02.0:1 ~ 200.0%0.030.02
Cuba11.21139132342016.824.33d 4h30.01.20.01:1.3 ~ 75.0%0.020.03
Cameroon26.546139128654852.717.44d 7h20.00.50.01.2:1 ~ 120.0%0.040.04
Nigeria206.14111108131414.420.83d 16h0.00.10.01:3.0 ~ 33.0%0.010.03
Honduras9.1581101043300.026.22d 23h01.20.01.0:1 ~ 100.0%0.030.03
Ghana30.28115214552117.826.42d 23h25.00.50.02.5:1 ~ 250.0%0.030.01
Cote d'Ivoire23.74165161046463.419.63d 20h00.70.0na0.00.02
Mauritius1.2661071043054.922.53d 9h0.08.50.2na0.030.0
Global7784.9372260753763233587151388584048.811.46d 10h10.29.30.41:4.5 ~ 22.0%0.050.21
West Bank and Gaza3.71099111854.89.27d 21h0.02.90.01:17.9 ~ 6.0%0.010.17
CoviMeter offers different views to the data taken from the John Hopkins University dashboard. The data is read once daily, around 9:00 CET, so this page only updates once per day. There is no warranty to any of the given information, as mistakes happen both on the data as on the programming side.

Feedback or suggestions are welcome per mail to feedback@covimeter.info!

Credits:
Covid-19-Data from Johns Hopkins University.
Population from Wikipedia.
TableSort thanks to Jürgen Berkemeier und SelfHTML.
Diagrams made with Matplotlib.
Guido van Rossum for Python!

Impressum - Datenschutzerklärung - Contact & GDPR Data Protection Declaration