Coronavirus in Nei Mongol

Affected Population

< 0.001 %

This is the part of confirmed infection cases against the total 25 million of its population.

Affected 0.0081 per 1000 people
Died 0.0000 per 1000 people

Recovery Pie

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

Raw Numbers on April 27, 2020

199confirmed+1

145recovered+16

1fatal0

53active−15

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Nei Mongol 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 Nei Mongol. 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.

Weekly Levels

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

Per capita values

Here, the number of confirmations and deaths per 1000 of population in Nei Mongol 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
Apr 27 199 0.5 % 145 1 53 72.9 % 0.5 % < 0.001 % 0.0081 0.00
Apr 26 198 0.0 % 129 1 68 65.2 % 0.5 % < 0.001 % 0.0080 0.00
Apr 25 198 0.5 % 121 1 76 61.1 % 0.5 % < 0.001 % 0.0080 0.00
Apr 24 197 1.5 % 114 1 82 57.9 % 0.5 % < 0.001 % 0.0080 0.00
Apr 23 194 0.0 % 108 1 85 55.7 % 0.5 % < 0.001 % 0.0079 0.00
Apr 22 194 0.0 % 108 1 85 55.7 % 0.5 % < 0.001 % 0.0079 0.00
Apr 21 194 0.0 % 108 1 85 55.7 % 0.5 % < 0.001 % 0.0079 0.00
Apr 20 194 0.5 % 104 1 89 53.6 % 0.5 % < 0.001 % 0.0079 0.00
Apr 19 193 0.0 % 104 1 88 53.9 % 0.5 % < 0.001 % 0.0078 0.00
Apr 18 193 0.0 % 104 1 88 53.9 % 0.5 % < 0.001 % 0.0078 0.00
Apr 17 193 0.0 % 103 1 89 53.4 % 0.5 % < 0.001 % 0.0078 0.00
Apr 16 193 1.6 % 94 1 98 48.7 % 0.5 % < 0.001 % 0.0078 0.00
Apr 15 190 0.0 % 94 1 95 49.5 % 0.5 % < 0.001 % 0.0077 0.00
Apr 14 190 0.0 % 91 1 98 47.9 % 0.5 % < 0.001 % 0.0077 0.00
Apr 13 190 0.5 % 83 1 106 43.7 % 0.5 % < 0.001 % 0.0077 0.00
Apr 12 189 21.9 % 83 1 105 43.9 % 0.5 % < 0.001 % 0.0076 0.00
Apr 11 155 21.1 % 79 1 75 51.0 % 0.6 % < 0.001 % 0.0063 0.00
Apr 10 128 1.6 % 79 1 48 61.7 % 0.8 % < 0.001 % 0.0052 0.00
Apr 9 126 1.6 % 79 1 46 62.7 % 0.8 % < 0.001 % 0.0051 0.00
Apr 8 124 2.5 % 74 1 49 59.7 % 0.8 % < 0.001 % 0.0050 0.00
Apr 7 121 2.5 % 74 1 46 61.2 % 0.8 % < 0.001 % 0.0049 0.00
Apr 6 118 0.9 % 74 1 43 62.7 % 0.8 % < 0.001 % 0.0048 0.00
Apr 5 117 0.0 % 74 1 42 63.2 % 0.9 % < 0.001 % 0.0047 0.00
Apr 4 117 0.0 % 74 1 42 63.2 % 0.9 % < 0.001 % 0.0047 0.00
Apr 3 117 0.0 % 74 1 42 63.2 % 0.9 % < 0.001 % 0.0047 0.00
Apr 2 117 5.4 % 74 1 42 63.2 % 0.9 % < 0.001 % 0.0047 0.00
Apr 1 111 3.7 % 74 1 36 66.7 % 0.9 % < 0.001 % 0.0045 0.00
Mar 31 107 10.3 % 74 1 32 69.2 % 0.9 % < 0.001 % 0.0043 0.00
Mar 30 97 2.1 % 74 1 22 76.3 % 1.0 % < 0.001 % 0.0039 0.00
Mar 29 95 1.1 % 74 1 20 77.9 % 1.1 % < 0.001 % 0.0038 0.00
Mar 28 94 2.2 % 74 1 19 78.7 % 1.1 % < 0.001 % 0.0038 0.00
Mar 27 92 3.4 % 74 1 17 80.4 % 1.1 % < 0.001 % 0.0037 0.00
Mar 26 89 15.6 % 74 1 14 83.1 % 1.1 % < 0.001 % 0.0036 0.00
Mar 25 77 2.7 % 74 1 2 96.1 % 1.3 % < 0.001 % 0.0031 0.00
Mar 24 75 0.0 % 74 1 0 98.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 23 75 0.0 % 74 1 0 98.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 22 75 0.0 % 74 1 0 98.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 21 75 0.0 % 74 1 0 98.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 20 75 0.0 % 74 1 0 98.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 19 75 0.0 % 74 1 0 98.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 18 75 0.0 % 73 1 1 97.3 % 1.3 % < 0.001 % 0.0030 0.00
Mar 17 75 0.0 % 73 1 1 97.3 % 1.3 % < 0.001 % 0.0030 0.00
Mar 16 75 0.0 % 73 1 1 97.3 % 1.3 % < 0.001 % 0.0030 0.00
Mar 15 75 0.0 % 71 1 3 94.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 14 75 0.0 % 71 1 3 94.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 13 75 0.0 % 71 1 3 94.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 12 75 0.0 % 71 1 3 94.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 11 75 0.0 % 71 1 3 94.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 10 75 0.0 % 70 1 4 93.3 % 1.3 % < 0.001 % 0.0030 0.00
Mar 9 75 0.0 % 70 1 4 93.3 % 1.3 % < 0.001 % 0.0030 0.00
Mar 8 75 0.0 % 70 1 4 93.3 % 1.3 % < 0.001 % 0.0030 0.00
Mar 7 75 0.0 % 67 1 7 89.3 % 1.3 % < 0.001 % 0.0030 0.00
Mar 6 75 0.0 % 65 1 9 86.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 5 75 0.0 % 65 1 9 86.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 4 75 0.0 % 63 1 11 84.0 % 1.3 % < 0.001 % 0.0030 0.00
Mar 3 75 0.0 % 59 1 15 78.7 % 1.3 % < 0.001 % 0.0030 0.00
Mar 2 75 0.0 % 54 0 21 72.0 % 0.0 % < 0.001 % 0.0030 0.00
Mar 1 75 0.0 % 52 0 23 69.3 % 0.0 % < 0.001 % 0.0030 0.00
Feb 29 75 0.0 % 49 0 26 65.3 % 0.0 % < 0.001 % 0.0030 0.00
Feb 28 75 0.0 % 45 0 30 60.0 % 0.0 % < 0.001 % 0.0030 0.00
Feb 27 75 0.0 % 43 0 32 57.3 % 0.0 % < 0.001 % 0.0030 0.00
Feb 26 75 0.0 % 38 0 37 50.7 % 0.0 % < 0.001 % 0.0030 0.00
Feb 25 75 0.0 % 35 0 40 46.7 % 0.0 % < 0.001 % 0.0030 0.00
Feb 24 75 0.0 % 34 0 41 45.3 % 0.0 % < 0.001 % 0.0030 0.00
Feb 23 75 0.0 % 27 0 48 36.0 % 0.0 % < 0.001 % 0.0030 0.00
Feb 22 75 0.0 % 26 0 49 34.7 % 0.0 % < 0.001 % 0.0030 0.00
Feb 21 75 0.0 % 17 0 58 22.7 % 0.0 % < 0.001 % 0.0030 0.00
Feb 20 75 0.0 % 16 0 59 21.3 % 0.0 % < 0.001 % 0.0030 0.00
Feb 19 75 2.7 % 10 0 65 13.3 % 0.0 % < 0.001 % 0.0030 0.00
Feb 18 73 1.4 % 8 0 65 11.0 % 0.0 % < 0.001 % 0.0030 0.00
Feb 17 72 2.9 % 8 0 64 11.1 % 0.0 % < 0.001 % 0.0029 0.00
Feb 16 70 2.9 % 8 0 62 11.4 % 0.0 % < 0.001 % 0.0028 0.00
Feb 15 68 4.6 % 7 0 61 10.3 % 0.0 % < 0.001 % 0.0028 0.00
Feb 14 65 6.6 % 6 0 59 9.2 % 0.0 % < 0.001 % 0.0026 0.00
Feb 13 61 1.7 % 6 0 55 9.8 % 0.0 % < 0.001 % 0.0025 0.00
Feb 12 60 3.4 % 6 0 54 10.0 % 0.0 % < 0.001 % 0.0024 0.00
Feb 11 58 0.0 % 5 0 53 8.6 % 0.0 % < 0.001 % 0.0023 0.00
Feb 10 58 7.4 % 5 0 53 8.6 % 0.0 % < 0.001 % 0.0023 0.00
Feb 9 54 3.8 % 5 0 49 9.3 % 0.0 % < 0.001 % 0.0022 0.00
Feb 8 52 4.0 % 5 0 47 9.6 % 0.0 % < 0.001 % 0.0021 0.00
Feb 7 50 8.7 % 5 0 45 10.0 % 0.0 % < 0.001 % 0.0020 0.00
Feb 6 46 9.5 % 4 0 42 8.7 % 0.0 % < 0.001 % 0.0019 0.00
Feb 5 42 20.0 % 3 0 39 7.1 % 0.0 % < 0.001 % 0.0017 0.00
Feb 4 35 2.9 % 1 0 34 2.9 % 0.0 % < 0.001 % 0.0014 0.00
Feb 3 34 25.9 % 1 0 33 2.9 % 0.0 % < 0.001 % 0.0014 0.00
Feb 2 27 17.4 % 1 0 26 3.7 % 0.0 % < 0.001 % 0.0011 0.00
Feb 1 23 15.0 % 1 0 22 4.3 % 0.0 % < 0.001 % 0.00093 0.00
Jan 31 20 5.3 % 1 0 19 5.0 % 0.0 % < 0.001 % 0.00081 0.00
Jan 30 19 18.8 % 0 0 19 0.0 % 0.0 % < 0.001 % 0.00077 0.00
Jan 29 16 6.7 % 0 0 16 0.0 % 0.0 % < 0.001 % 0.00065 0.00
Jan 28 15 36.4 % 0 0 15 0.0 % 0.0 % < 0.001 % 0.00061 0.00
Jan 27 11 57.1 % 0 0 11 0.0 % 0.0 % < 0.001 % 0.00045 0.00
Jan 26 7 0.0 % 0 0 7 0.0 % 0.0 % < 0.001 % 0.00028 0.00
Jan 25 7 600.0 % 0 0 7 0.0 % 0.0 % < 0.001 % 0.00028 0.00
Jan 24 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00

Coronavirus in China

Cumulative China statistics | Distribution over the provinces | Compare the provinces

China excluding Hubei

Anhui

Beijing

Chongqing

Fujian

Gansu

Guangdong

Guangxi Zhuangzu

Guizhou

Hainan

Hebei

Heilongjiang

Henan

Hong Kong

Hubei

Hunan

Jiangsu

Jiangxi

Jilin

Liaoning

Macao

Nei Mongol

Ningxia Huizi

Qinghai

Shaanxi

Shandong

Shanghai

Shanxi

Sichuan

Taiwan

Tianjin

Xinjiang Uygur

Xizang

Yunnan

Zhejiang

Statistics per Continent

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Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

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Albania

Algeria

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Angola

Anguilla

Antigua and Barbuda

Argentina

Armenia

Aruba

Australia

Austria

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Bosnia and Herzegovina

Botswana

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China

Colombia

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Curaçao

Cyprus

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Dem. Rep. of the Congo

Denmark

Djibouti

Dominica

Dominican Republic

Ecuador

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El Salvador

Equatorial Guinea

Eritrea

Estonia

Eswatini

Ethiopia

Falkland Islands

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Fiji

Finland

France ▲▲

French Guiana

French Polynesia

Gabon ▲▲

Gambia

Georgia

Germany

Ghana

Gibraltar

Greece

Greenland

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Guinea-Bissau ▲▲

Guyana

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Paraguay

Peru

Philippines

Poland

Portugal

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Romania

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Rwanda ▲▲

Saint Barthélemy

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Sri Lanka ▲▲

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Viet Nam

Western Sahara

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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.