Coronavirus in Liechtenstein

Affected Population

1.1 %

This is the part of confirmed infection cases against the total 38 thousand of its population.

Affected 10.58 per 1000 people
Died 0.026 per 1000 people

Recovery Pie

The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Liechtenstein.

Raw Numbers on October 26, 2020

402confirmed+37

210recovered+40

1fatal0

191active−3

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Liechtenstein and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.

New Confirmed Cases

This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.

Daily Speed

This graph shows the speed of growth (in %) over time in Liechtenstein. The only parameter here is the number of confirmed cases.

Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that fewer cases registered today than yesterday.

Cumulative 14-day index

This graph shows the index that some countries use for setting travel restrictions. The value is the number of new confirmed cases for the last 14 days per 100,000 of population.

Mortality Level

The gray bars on this graph display the absolute number of deaths that happen in Liechtenstein every month during the recent five years of available data. The red bars are the absolute numbers of people died due to the COVID-19 infection.

Note that the vertical axis is drawn in logarithmic scale by default.

Weekly Levels

This graph draws the number of deaths in Liechtenstein connected to the COVID-19 infection aggregated by weeks of 2020.

Crude rates

Crude mortality rate is the number of people died in a country within a year per each 1000 of population.

Here, the crude rate in Liechtenstein is shown for the last 50 years. The red bar against 2020 is the number of people died due to COVID-19 per each 1000 people. Thus, you can directly compare the two parameters.

Note that the vertical axis is drawn in logarithmic scale by default.

Per capita values

Here, the number of confirmations and deaths per 1000 of population in Liechtenstein is shown. These numbers is a better choice when comparing different countries than absolute numbers.

Raw Daily Numbers

Download as CSV | XLS

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Fatal
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
Confirmed
per 1000
Died
per 1000
Oct 26 402 10.1 % 210 1 191 52.2 % 0.2 % 1.1 % 10.58 0.026
Oct 25 365 7.4 % 170 1 194 46.6 % 0.3 % 0.96 % 9.61 0.026
Oct 24 340 4.9 % 170 1 169 50.0 % 0.3 % 0.89 % 8.95 0.026
Oct 23 324 14.9 % 170 1 153 52.5 % 0.3 % 0.85 % 8.53 0.026
Oct 22 282 11.9 % 158 1 123 56.0 % 0.4 % 0.74 % 7.42 0.026
Oct 21 252 7.2 % 145 1 106 57.5 % 0.4 % 0.66 % 6.63 0.026
Oct 20 235 4.9 % 142 1 92 60.4 % 0.4 % 0.62 % 6.18 0.026
Oct 19 224 0.0 % 142 1 81 63.4 % 0.4 % 0.59 % 5.89 0.026
Oct 18 224 3.2 % 132 1 91 58.9 % 0.4 % 0.59 % 5.89 0.026
Oct 17 217 13.0 % 132 1 84 60.8 % 0.5 % 0.57 % 5.71 0.026
Oct 16 192 4.9 % 132 1 59 68.8 % 0.5 % 0.51 % 5.05 0.026
Oct 15 183 5.2 % 131 1 51 71.6 % 0.5 % 0.48 % 4.82 0.026
Oct 14 174 6.7 % 131 1 42 75.3 % 0.6 % 0.46 % 4.58 0.026
Oct 13 163 10.1 % 128 1 34 78.5 % 0.6 % 0.43 % 4.29 0.026
Oct 12 148 2.8 % 124 1 23 83.8 % 0.7 % 0.39 % 3.89 0.026
Oct 11 144 1.4 % 121 1 22 84.0 % 0.7 % 0.38 % 3.79 0.026
Oct 10 142 2.2 % 117 1 24 82.4 % 0.7 % 0.37 % 3.74 0.026
Oct 9 139 3.0 % 117 1 21 84.2 % 0.7 % 0.37 % 3.66 0.026
Oct 8 135 3.1 % 117 1 17 86.7 % 0.7 % 0.36 % 3.55 0.026
Oct 7 131 0.8 % 116 1 14 88.5 % 0.8 % 0.34 % 3.45 0.026
Oct 6 130 2.4 % 116 1 13 89.2 % 0.8 % 0.34 % 3.42 0.026
Oct 5 127 0.8 % 116 1 10 91.3 % 0.8 % 0.33 % 3.34 0.026
Oct 4 126 2.4 % 116 1 9 92.1 % 0.8 % 0.33 % 3.32 0.026
Oct 3 123 2.5 % 116 1 6 94.3 % 0.8 % 0.32 % 3.24 0.026
Oct 2 120 0.8 % 116 1 3 96.7 % 0.8 % 0.32 % 3.16 0.026
Oct 1 119 0.8 % 114 1 4 95.8 % 0.8 % 0.31 % 3.13 0.026
Sep 30 118 0.0 % 113 1 4 95.8 % 0.8 % 0.31 % 3.11 0.026
Sep 29 118 0.9 % 113 1 4 95.8 % 0.8 % 0.31 % 3.11 0.026
Sep 28 117 0.0 % 110 1 6 94.0 % 0.9 % 0.31 % 3.08 0.026
Sep 27 117 0.0 % 110 1 6 94.0 % 0.9 % 0.31 % 3.08 0.026
Sep 26 117 0.0 % 110 1 6 94.0 % 0.9 % 0.31 % 3.08 0.026
Sep 25 117 0.9 % 110 1 6 94.0 % 0.9 % 0.31 % 3.08 0.026
Sep 24 116 0.0 % 110 1 5 94.8 % 0.9 % 0.31 % 3.05 0.026
Sep 23 116 0.9 % 110 1 5 94.8 % 0.9 % 0.31 % 3.05 0.026
Sep 22 115 0.9 % 110 1 4 95.7 % 0.9 % 0.3 % 3.03 0.026
Sep 21 114 0.9 % 110 1 3 96.5 % 0.9 % 0.3 % 3.00 0.026
Sep 20 113 0.0 % 109 1 3 96.5 % 0.9 % 0.3 % 2.97 0.026
Sep 19 113 0.9 % 109 1 3 96.5 % 0.9 % 0.3 % 2.97 0.026
Sep 18 112 0.0 % 108 1 3 96.4 % 0.9 % 0.29 % 2.95 0.026
Sep 17 112 0.9 % 108 1 3 96.4 % 0.9 % 0.29 % 2.95 0.026
Sep 16 111 0.0 % 105 1 5 94.6 % 0.9 % 0.29 % 2.92 0.026
Sep 15 111 0.0 % 105 1 5 94.6 % 0.9 % 0.29 % 2.92 0.026
Sep 14 111 0.0 % 105 1 5 94.6 % 0.9 % 0.29 % 2.92 0.026
Sep 13 111 0.0 % 105 1 5 94.6 % 0.9 % 0.29 % 2.92 0.026
Sep 12 111 1.8 % 105 1 5 94.6 % 0.9 % 0.29 % 2.92 0.026
Sep 11 109 0.0 % 105 1 3 96.3 % 0.9 % 0.29 % 2.87 0.026
Sep 10 109 0.9 % 105 1 3 96.3 % 0.9 % 0.29 % 2.87 0.026
Sep 9 108 0.9 % 105 1 2 97.2 % 0.9 % 0.28 % 2.84 0.026
Sep 8 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Sep 7 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Sep 6 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Sep 5 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Sep 4 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Sep 3 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Sep 2 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Sep 1 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Aug 31 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Aug 30 107 0.0 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Aug 29 107 0.9 % 97 1 9 90.7 % 0.9 % 0.28 % 2.82 0.026
Aug 28 106 1.0 % 96 1 9 90.6 % 0.9 % 0.28 % 2.79 0.026
Aug 27 105 2.9 % 96 1 8 91.4 % 1.0 % 0.28 % 2.76 0.026
Aug 26 102 0.0 % 94 1 7 92.2 % 1.0 % 0.27 % 2.68 0.026
Aug 25 102 2.0 % 94 1 7 92.2 % 1.0 % 0.27 % 2.68 0.026
Aug 24 100 1.0 % 90 1 9 90.0 % 1.0 % 0.26 % 2.63 0.026
Aug 23 99 0.0 % 88 1 10 88.9 % 1.0 % 0.26 % 2.61 0.026
Aug 22 99 0.0 % 88 1 10 88.9 % 1.0 % 0.26 % 2.61 0.026
Aug 21 99 0.0 % 88 1 10 88.9 % 1.0 % 0.26 % 2.61 0.026
Aug 20 99 1.0 % 88 1 10 88.9 % 1.0 % 0.26 % 2.61 0.026
Aug 19 98 1.0 % 88 1 9 89.8 % 1.0 % 0.26 % 2.58 0.026
Aug 18 97 3.2 % 88 1 8 90.7 % 1.0 % 0.26 % 2.55 0.026
Aug 17 94 3.3 % 87 1 6 92.6 % 1.1 % 0.25 % 2.47 0.026
Aug 16 91 0.0 % 87 1 3 95.6 % 1.1 % 0.24 % 2.39 0.026
Aug 15 91 0.0 % 87 1 3 95.6 % 1.1 % 0.24 % 2.39 0.026
Aug 14 91 1.1 % 87 1 3 95.6 % 1.1 % 0.24 % 2.39 0.026
Aug 13 90 0.0 % 87 1 2 96.7 % 1.1 % 0.24 % 2.37 0.026
Aug 12 90 1.1 % 87 1 2 96.7 % 1.1 % 0.24 % 2.37 0.026
Aug 11 89 0.0 % 87 1 1 97.8 % 1.1 % 0.23 % 2.34 0.026
Aug 10 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 9 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 8 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 7 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 6 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 5 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 4 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 3 89 0.0 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 2 89 1.1 % 85 1 3 95.5 % 1.1 % 0.23 % 2.34 0.026
Aug 1 88 0.0 % 85 1 2 96.6 % 1.1 % 0.23 % 2.32 0.026
Jul 31 88 0.0 % 85 1 2 96.6 % 1.1 % 0.23 % 2.32 0.026
Jul 30 88 0.0 % 85 1 2 96.6 % 1.1 % 0.23 % 2.32 0.026
Jul 29 88 1.1 % 85 1 2 96.6 % 1.1 % 0.23 % 2.32 0.026
Jul 28 87 1.2 % 81 1 5 93.1 % 1.1 % 0.23 % 2.29 0.026
Jul 27 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 26 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 25 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 24 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 23 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 22 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 21 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 20 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 19 86 0.0 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 18 86 1.2 % 81 1 4 94.2 % 1.2 % 0.23 % 2.26 0.026
Jul 17 85 1.2 % 81 1 3 95.3 % 1.2 % 0.22 % 2.24 0.026
Jul 16 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 15 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 14 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 13 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 12 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 11 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 10 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 9 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 8 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 7 84 0.0 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 6 84 1.2 % 81 1 2 96.4 % 1.2 % 0.22 % 2.21 0.026
Jul 5 83 0.0 % 81 1 1 97.6 % 1.2 % 0.22 % 2.18 0.026
Jul 4 83 0.0 % 81 1 1 97.6 % 1.2 % 0.22 % 2.18 0.026
Jul 3 83 0.0 % 81 1 1 97.6 % 1.2 % 0.22 % 2.18 0.026
Jul 2 83 1.2 % 81 1 1 97.6 % 1.2 % 0.22 % 2.18 0.026
Jul 1 82 0.0 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 30 82 0.0 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 29 82 0.0 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 28 82 0.0 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 27 82 0.0 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 26 82 0.0 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 25 82 0.0 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 24 82 -4.7 % 81 1 0 98.8 % 1.2 % 0.22 % 2.16 0.026
Jun 23 86 3.6 % 72 2 12 83.7 % 2.3 % 0.23 % 2.26 0.053
Jun 22 83 1.2 % 69 1 13 83.1 % 1.2 % 0.22 % 2.18 0.026
Jun 21 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 20 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 19 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 18 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 17 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 16 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 15 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 14 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 13 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 12 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 11 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 10 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 9 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 8 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 7 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 6 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 5 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 4 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 3 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 2 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Jun 1 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 31 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 30 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 29 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 28 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 27 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 26 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 25 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 24 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 23 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 22 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 21 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 20 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 19 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 18 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 17 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 16 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 15 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 14 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 13 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 12 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 11 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 10 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 9 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 8 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 7 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 6 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 5 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 4 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 3 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 2 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
May 1 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 30 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 29 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 28 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 27 82 0.0 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 26 82 1.2 % 55 1 26 67.1 % 1.2 % 0.22 % 2.16 0.026
Apr 25 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 24 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 23 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 22 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 21 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 20 81 0.0 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 19 81 2.5 % 55 1 25 67.9 % 1.2 % 0.21 % 2.13 0.026
Apr 18 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 17 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 16 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 15 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 14 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 13 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 12 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 11 79 0.0 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 10 79 1.3 % 55 1 23 69.6 % 1.3 % 0.21 % 2.08 0.026
Apr 9 78 0.0 % 55 1 22 70.5 % 1.3 % 0.21 % 2.05 0.026
Apr 8 78 0.0 % 55 1 22 70.5 % 1.3 % 0.21 % 2.05 0.026
Apr 7 78 1.3 % 55 1 22 70.5 % 1.3 % 0.21 % 2.05 0.026
Apr 6 77 0.0 % 55 1 21 71.4 % 1.3 % 0.2 % 2.03 0.026
Apr 5 77 0.0 % 0 1 76 0.0 % 1.3 % 0.2 % 2.03 0.026
Apr 4 77 2.7 % 0 1 76 0.0 % 1.3 % 0.2 % 2.03 0.026
Apr 3 75 0.0 % 0 0 75 0.0 % 0.0 % 0.2 % 1.97 0.00
Apr 2 75 10.3 % 0 0 75 0.0 % 0.0 % 0.2 % 1.97 0.00
Apr 1 68 0.0 % 0 0 68 0.0 % 0.0 % 0.18 % 1.79 0.00
Mar 31 68 9.7 % 0 0 68 0.0 % 0.0 % 0.18 % 1.79 0.00
Mar 30 62 10.7 % 0 0 62 0.0 % 0.0 % 0.16 % 1.63 0.00
Mar 29 56 0.0 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 28 56 0.0 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 27 56 0.0 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 26 56 9.8 % 0 0 56 0.0 % 0.0 % 0.15 % 1.47 0.00
Mar 25 51 0.0 % 0 0 51 0.0 % 0.0 % 0.13 % 1.34 0.00
Mar 24 51 0.0 % 0 0 51 0.0 % 0.0 % 0.13 % 1.34 0.00
Mar 23 51 37.8 % 0 0 51 0.0 % 0.0 % 0.13 % 1.34 0.00
Mar 22 37 0.0 % 0 0 37 0.0 % 0.0 % 0.097 % 0.97 0.00
Mar 21 37 32.1 % 0 0 37 0.0 % 0.0 % 0.097 % 0.97 0.00
Mar 20 28 0.0 % 0 0 28 0.0 % 0.0 % 0.074 % 0.74 0.00
Mar 19 28 0.0 % 0 0 28 0.0 % 0.0 % 0.074 % 0.74 0.00
Mar 18 28 300.0 % 0 0 28 0.0 % 0.0 % 0.074 % 0.74 0.00
Mar 17 7 75.0 % 0 0 7 0.0 % 0.0 % 0.018 % 0.18 0.00
Mar 16 4 0.0 % 0 0 4 0.0 % 0.0 % 0.011 % 0.11 0.00
Mar 15 4 0.0 % 0 0 4 0.0 % 0.0 % 0.011 % 0.11 0.00
Mar 14 4 300.0 % 0 0 4 0.0 % 0.0 % 0.011 % 0.11 0.00
Mar 13 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 12 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 11 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 10 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 9 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 8 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 7 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 6 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 5 1 0.0 % 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00
Mar 4 1 0 0 1 0.0 % 0.0 % 0.0026 % 0.026 0.00

Statistics per Continent

Whole world

Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

Afghanistan

Albania

Algeria

Andorra

Angola

Anguilla

Antigua and Barbuda

Argentina

Armenia

Aruba

Australia

Austria

Azerbaijan

Bahamas

Bahrain

Bangladesh

Barbados ▲▲

Belarus

Belgium

Belize

Benin

Bermuda

Bhutan

Bolivia

Bonaire, St. Eustatius & Saba

Bosnia and Herzegovina

Botswana

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria ▲▲

Burkina Faso

Burundi

Cabo Verde

Cambodia

Cameroon

Canada

Cayman Islands

Central African Republic

Chad

Chile

China

Colombia

Comoros

Congo

Costa Rica

Croatia

Cuba

Curaçao

Cyprus

Czechia

Dem. Rep. of the Congo

Denmark

Djibouti

Dominica

Dominican Republic

Ecuador

Egypt

El Salvador

Equatorial Guinea

Eritrea

Estonia

Eswatini

Ethiopia

Falkland Islands

Faroe Islands

Fiji

Finland

France ▼▼

French Guiana

French Polynesia

Gabon

Gambia

Georgia

Germany

Ghana

Gibraltar

Greece

Greenland

Grenada

Guadeloupe

Guam

Guatemala

Guinea

Guinea-Bissau

Guyana

Haiti

Holy See

Honduras

Hungary

Iceland

India

Indonesia

Iran

Iraq

Ireland

Isle of Man

Israel

Italy

Jamaica

Japan

Jordan

Kazakhstan

Kenya

Kosovo

Kuwait

Kyrgyzstan

Lao People's Dem. Rep.

Latvia

Lebanon

Lesotho

Liberia ▲▲

Libya

Liechtenstein

Lithuania

Luxembourg ▲▲

Madagascar

Malawi

Malaysia

Maldives

Mali

Malta

Martinique

Mauritania ▲▲

Mauritius

Mayotte

Mexico

Moldova

Monaco

Mongolia

Montenegro

Montserrat

Morocco

Mozambique

Myanmar

Namibia

Nepal

Netherlands

New Caledonia

New Zealand

Nicaragua

Niger

Nigeria

North Macedonia

Norway

Oman

Pakistan

Panama

Papua New Guinea

Paraguay

Peru

Philippines

Poland

Portugal

Puerto Rico

Qatar

Réunion

Romania

Russian Federation

Rwanda

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia ▲▲

Saint Pierre and Miquelon

San Marino

Sao Tome and Principe

Saudi Arabia

Senegal

Serbia

Seychelles

Sierra Leone

Singapore

Sint Maarten

Slovakia

Slovenia

Solomon Islands

Somalia

South Africa

South Korea

South Sudan

Spain

Sri Lanka ▲▲

State of Palestine

Sudan

Suriname ▲▲

Sweden

Switzerland ▲▲

Syrian Arab Republic

Taiwan

Tajikistan

Tanzania

Thailand

Timor-Leste

Togo

Trinidad and Tobago ▲▲

Tunisia

Turkey

Turks and Caicos Islands

Uganda

Ukraine

United Arab Emirates

United Kingdom

United States of America

Uruguay

Uzbekistan

Venezuela

Viet Nam

Western Sahara

Yemen

Zambia

Zimbabwe

The green and red arrows next to the country name display the trend of the new confirmed cases during the last week.

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Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.

This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. Central European time.

Read the Technology blog. Look at the source code: GitHub. Powered by Raku.

Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.