Coronavirus in Shanghai

Affected Population

0.0027 %

This is the part of confirmed infection cases against the total 24 million of its population.

Affected 0.027 per 1000 people
Died 0.00029 per 1000 people

Recovery Pie

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

Raw Numbers on April 27, 2020

644confirmed+2

581recovered+13

7fatal0

56active−11

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Shanghai 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 Shanghai. 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 Shanghai 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 Shanghai 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 27 644 0.3 % 581 7 56 90.2 % 1.1 % 0.0027 % 0.027 0.00029
Apr 26 642 0.0 % 568 7 67 88.5 % 1.1 % 0.0026 % 0.026 0.00029
Apr 25 642 0.2 % 558 7 77 86.9 % 1.1 % 0.0026 % 0.026 0.00029
Apr 24 641 0.0 % 558 7 76 87.1 % 1.1 % 0.0026 % 0.026 0.00029
Apr 23 641 0.3 % 533 7 101 83.2 % 1.1 % 0.0026 % 0.026 0.00029
Apr 22 639 0.2 % 534 7 98 83.6 % 1.1 % 0.0026 % 0.026 0.00029
Apr 21 638 0.0 % 530 7 101 83.1 % 1.1 % 0.0026 % 0.026 0.00029
Apr 20 638 0.5 % 530 7 101 83.1 % 1.1 % 0.0026 % 0.026 0.00029
Apr 19 635 1.1 % 521 7 107 82.0 % 1.1 % 0.0026 % 0.026 0.00029
Apr 18 628 0.0 % 512 7 109 81.5 % 1.1 % 0.0026 % 0.026 0.00029
Apr 17 628 0.0 % 512 7 109 81.5 % 1.1 % 0.0026 % 0.026 0.00029
Apr 16 628 1.0 % 489 7 132 77.9 % 1.1 % 0.0026 % 0.026 0.00029
Apr 15 622 0.6 % 485 7 130 78.0 % 1.1 % 0.0026 % 0.026 0.00029
Apr 14 618 0.0 % 468 7 143 75.7 % 1.1 % 0.0025 % 0.025 0.00029
Apr 13 618 1.8 % 446 7 165 72.2 % 1.1 % 0.0025 % 0.025 0.00029
Apr 12 607 9.4 % 446 7 154 73.5 % 1.2 % 0.0025 % 0.025 0.00029
Apr 11 555 0.0 % 438 7 110 78.9 % 1.3 % 0.0023 % 0.023 0.00029
Apr 10 555 0.5 % 435 7 113 78.4 % 1.3 % 0.0023 % 0.023 0.00029
Apr 9 552 1.7 % 422 7 123 76.4 % 1.3 % 0.0023 % 0.023 0.00029
Apr 8 543 0.9 % 418 7 118 77.0 % 1.3 % 0.0022 % 0.022 0.00029
Apr 7 538 0.4 % 406 6 126 75.5 % 1.1 % 0.0022 % 0.022 0.00025
Apr 6 536 0.9 % 389 6 141 72.6 % 1.1 % 0.0022 % 0.022 0.00025
Apr 5 531 0.4 % 383 6 142 72.1 % 1.1 % 0.0022 % 0.022 0.00025
Apr 4 529 0.6 % 356 6 167 67.3 % 1.1 % 0.0022 % 0.022 0.00025
Apr 3 526 0.8 % 348 6 172 66.2 % 1.1 % 0.0022 % 0.022 0.00025
Apr 2 522 1.2 % 343 6 173 65.7 % 1.1 % 0.0022 % 0.022 0.00025
Apr 1 516 1.4 % 341 6 169 66.1 % 1.2 % 0.0021 % 0.021 0.00025
Mar 31 509 2.2 % 341 5 163 67.0 % 1.0 % 0.0021 % 0.021 0.00021
Mar 30 498 1.2 % 338 5 155 67.9 % 1.0 % 0.0021 % 0.021 0.00021
Mar 29 492 1.4 % 334 5 153 67.9 % 1.0 % 0.002 % 0.020 0.00021
Mar 28 485 3.6 % 334 5 146 68.9 % 1.0 % 0.002 % 0.020 0.00021
Mar 27 468 3.8 % 334 5 129 71.4 % 1.1 % 0.0019 % 0.019 0.00021
Mar 26 451 4.2 % 331 5 115 73.4 % 1.1 % 0.0019 % 0.019 0.00021
Mar 25 433 4.6 % 330 5 98 76.2 % 1.2 % 0.0018 % 0.018 0.00021
Mar 24 414 2.5 % 330 4 80 79.7 % 1.0 % 0.0017 % 0.017 0.00017
Mar 23 404 2.5 % 329 4 71 81.4 % 1.0 % 0.0017 % 0.017 0.00017
Mar 22 394 3.7 % 328 4 62 83.2 % 1.0 % 0.0016 % 0.016 0.00017
Mar 21 380 2.4 % 327 3 50 86.1 % 0.8 % 0.0016 % 0.016 0.00012
Mar 20 371 2.2 % 326 3 42 87.9 % 0.8 % 0.0015 % 0.015 0.00012
Mar 19 363 0.6 % 326 3 34 89.8 % 0.8 % 0.0015 % 0.015 0.00012
Mar 18 361 0.8 % 326 3 32 90.3 % 0.8 % 0.0015 % 0.015 0.00012
Mar 17 358 0.8 % 325 3 30 90.8 % 0.8 % 0.0015 % 0.015 0.00012
Mar 16 355 0.6 % 325 3 27 91.5 % 0.8 % 0.0015 % 0.015 0.00012
Mar 15 353 0.0 % 324 3 26 91.8 % 0.8 % 0.0015 % 0.015 0.00012
Mar 14 353 2.0 % 324 3 26 91.8 % 0.8 % 0.0015 % 0.015 0.00012
Mar 13 346 0.6 % 324 3 19 93.6 % 0.9 % 0.0014 % 0.014 0.00012
Mar 12 344 0.0 % 321 3 20 93.3 % 0.9 % 0.0014 % 0.014 0.00012
Mar 11 344 0.0 % 320 3 21 93.0 % 0.9 % 0.0014 % 0.014 0.00012
Mar 10 344 0.6 % 319 3 22 92.7 % 0.9 % 0.0014 % 0.014 0.00012
Mar 9 342 0.0 % 315 3 24 92.1 % 0.9 % 0.0014 % 0.014 0.00012
Mar 8 342 0.0 % 314 3 25 91.8 % 0.9 % 0.0014 % 0.014 0.00012
Mar 7 342 0.0 % 313 3 26 91.5 % 0.9 % 0.0014 % 0.014 0.00012
Mar 6 342 0.9 % 306 3 33 89.5 % 0.9 % 0.0014 % 0.014 0.00012
Mar 5 339 0.3 % 303 3 33 89.4 % 0.9 % 0.0014 % 0.014 0.00012
Mar 4 338 0.0 % 298 3 37 88.2 % 0.9 % 0.0014 % 0.014 0.00012
Mar 3 338 0.3 % 294 3 41 87.0 % 0.9 % 0.0014 % 0.014 0.00012
Mar 2 337 0.0 % 292 3 42 86.6 % 0.9 % 0.0014 % 0.014 0.00012
Mar 1 337 0.0 % 290 3 44 86.1 % 0.9 % 0.0014 % 0.014 0.00012
Feb 29 337 0.0 % 287 3 47 85.2 % 0.9 % 0.0014 % 0.014 0.00012
Feb 28 337 0.0 % 279 3 55 82.8 % 0.9 % 0.0014 % 0.014 0.00012
Feb 27 337 0.0 % 276 3 58 81.9 % 0.9 % 0.0014 % 0.014 0.00012
Feb 26 337 0.3 % 272 3 62 80.7 % 0.9 % 0.0014 % 0.014 0.00012
Feb 25 336 0.3 % 268 3 65 79.8 % 0.9 % 0.0014 % 0.014 0.00012
Feb 24 335 0.0 % 261 3 71 77.9 % 0.9 % 0.0014 % 0.014 0.00012
Feb 23 335 0.0 % 249 3 83 74.3 % 0.9 % 0.0014 % 0.014 0.00012
Feb 22 335 0.3 % 227 3 105 67.8 % 0.9 % 0.0014 % 0.014 0.00012
Feb 21 334 0.0 % 211 2 121 63.2 % 0.6 % 0.0014 % 0.014 0.00
Feb 20 334 0.3 % 199 2 133 59.6 % 0.6 % 0.0014 % 0.014 0.00
Feb 19 333 0.0 % 186 2 145 55.9 % 0.6 % 0.0014 % 0.014 0.00
Feb 18 333 0.0 % 177 1 155 53.2 % 0.3 % 0.0014 % 0.014 0.00
Feb 17 333 1.5 % 161 1 171 48.3 % 0.3 % 0.0014 % 0.014 0.00
Feb 16 328 0.6 % 140 1 187 42.7 % 0.3 % 0.0014 % 0.014 0.00
Feb 15 326 2.5 % 124 1 201 38.0 % 0.3 % 0.0013 % 0.013 0.00
Feb 14 318 1.0 % 90 1 227 28.3 % 0.3 % 0.0013 % 0.013 0.00
Feb 13 315 1.3 % 62 1 252 19.7 % 0.3 % 0.0013 % 0.013 0.00
Feb 12 311 2.6 % 57 1 253 18.3 % 0.3 % 0.0013 % 0.013 0.00
Feb 11 303 1.3 % 52 1 250 17.2 % 0.3 % 0.0013 % 0.013 0.00
Feb 10 299 2.0 % 48 1 250 16.1 % 0.3 % 0.0012 % 0.012 0.00
Feb 9 293 2.4 % 44 1 248 15.0 % 0.3 % 0.0012 % 0.012 0.00
Feb 8 286 3.2 % 41 1 244 14.3 % 0.3 % 0.0012 % 0.012 0.00
Feb 7 277 7.8 % 30 1 246 10.8 % 0.4 % 0.0011 % 0.011 0.00
Feb 6 257 5.8 % 25 1 231 9.7 % 0.4 % 0.0011 % 0.011 0.00
Feb 5 243 11.0 % 15 1 227 6.2 % 0.4 % 0.001 % 0.010 0.00
Feb 4 219 7.9 % 12 1 206 5.5 % 0.5 % < 0.001 % 0.0090 0.00
Feb 3 203 11.5 % 10 1 192 4.9 % 0.5 % < 0.001 % 0.0084 0.00
Feb 2 182 7.7 % 10 1 171 5.5 % 0.5 % < 0.001 % 0.0075 0.00
Feb 1 169 25.2 % 10 1 158 5.9 % 0.6 % < 0.001 % 0.0070 0.00
Jan 31 135 20.5 % 9 1 125 6.7 % 0.7 % < 0.001 % 0.0056 0.00
Jan 30 112 16.7 % 5 1 106 4.5 % 0.9 % < 0.001 % 0.0046 0.00
Jan 29 96 45.5 % 5 1 90 5.2 % 1.0 % < 0.001 % 0.0040 0.00
Jan 28 66 24.5 % 4 1 61 6.1 % 1.5 % < 0.001 % 0.0027 0.00
Jan 27 53 32.5 % 3 1 49 5.7 % 1.9 % < 0.001 % 0.0022 0.00
Jan 26 40 21.2 % 1 1 38 2.5 % 2.5 % < 0.001 % 0.0017 0.00
Jan 25 33 65.0 % 1 0 32 3.0 % 0.0 % < 0.001 % 0.0014 0.00
Jan 24 20 25.0 % 1 0 19 5.0 % 0.0 % < 0.001 % 0.00083 0.00
Jan 23 16 77.8 % 0 0 16 0.0 % 0.0 % < 0.001 % 0.00066 0.00
Jan 22 9 0 0 9 0.0 % 0.0 % < 0.001 % 0.00037 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

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

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

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

Somalia

South Africa

South Korea

South Sudan

Spain

Sri Lanka ▲▲

State of Palestine

Sudan

Suriname

Sweden

Switzerland

Syrian Arab Republic

Taiwan

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.