Coronavirus in Russian Federation

Regions of the Russian Federation

Affected Population

0.25 %

This is the part of confirmed infection cases against the total 146 million of its population.

6.24 % of the whole population tested

Affected 2.48 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 Russian Federation.

Raw Numbers on May 26, 2020

362,342confirmed+8,915

131,129recovered+12,331

3,807fatal+174

227,406active−3,590

Daily Flow

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

9,100,000 tests performed

This graph shows the total number of tests performed in Russian Federation. This graph does not reflect the outcome of the test cases. 6.24 % of the whole population have been tested.

Mortality Level

The gray bars on this graph display the absolute number of deaths that happen in Russian Federation 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 Russian Federation 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 Russian Federation 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 Russian Federation 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
May 26 362,342 2.5 % 131,129 3,807 227,406 36.2 % 1.1 % 0.25 % 2.48 0.026
May 25 353,427 2.6 % 118,798 3,633 230,996 33.6 % 1.0 % 0.24 % 2.42 0.025
May 24 344,481 2.6 % 113,299 3,541 227,641 32.9 % 1.0 % 0.24 % 2.36 0.024
May 23 335,882 2.9 % 107,936 3,388 224,558 32.1 % 1.0 % 0.23 % 2.30 0.023
May 22 326,448 2.8 % 99,825 3,249 223,374 30.6 % 1.0 % 0.22 % 2.24 0.022
May 21 317,554 2.9 % 92,681 3,099 221,774 29.2 % 1.0 % 0.22 % 2.18 0.021
May 20 308,705 2.9 % 85,392 2,972 220,341 27.7 % 1.0 % 0.21 % 2.12 0.020
May 19 299,941 3.2 % 76,130 2,837 220,974 25.4 % 0.9 % 0.21 % 2.06 0.019
May 18 290,678 3.2 % 70,209 2,722 217,747 24.2 % 0.9 % 0.2 % 1.99 0.019
May 17 281,752 3.6 % 67,373 2,631 211,748 23.9 % 0.9 % 0.19 % 1.93 0.018
May 16 272,043 3.5 % 63,166 2,536 206,341 23.2 % 0.9 % 0.19 % 1.86 0.017
May 15 262,843 4.2 % 58,226 2,418 202,199 22.2 % 0.9 % 0.18 % 1.80 0.017
May 14 252,245 4.1 % 53,530 2,305 196,410 21.2 % 0.9 % 0.17 % 1.73 0.016
May 13 242,271 4.3 % 48,003 2,212 192,056 19.8 % 0.9 % 0.17 % 1.66 0.015
May 12 232,243 4.9 % 43,512 2,116 186,615 18.7 % 0.9 % 0.16 % 1.59 0.015
May 11 221,344 5.6 % 39,801 2,009 179,534 18.0 % 0.9 % 0.15 % 1.52 0.014
May 10 209,688 5.5 % 34,306 1,915 173,467 16.4 % 0.9 % 0.14 % 1.44 0.013
May 9 198,676 5.8 % 31,916 1,827 164,933 16.1 % 0.9 % 0.14 % 1.36 0.013
May 8 187,859 6.0 % 26,608 1,723 159,528 14.2 % 0.9 % 0.13 % 1.29 0.012
May 7 177,160 6.8 % 23,803 1,625 151,732 13.4 % 0.9 % 0.12 % 1.21 0.011
May 6 165,929 6.8 % 21,327 1,537 143,065 12.9 % 0.9 % 0.11 % 1.14 0.011
May 5 155,370 7.0 % 19,865 1,451 134,054 12.8 % 0.9 % 0.11 % 1.07 0.0099
May 4 145,268 7.9 % 18,095 1,356 125,817 12.5 % 0.9 % 0.1 % 1.00 0.0093
May 3 134,687 8.6 % 16,639 1,280 116,768 12.4 % 1.0 % 0.092 % 0.92 0.0088
May 2 124,054 8.4 % 15,013 1,222 107,819 12.1 % 1.0 % 0.085 % 0.85 0.0084
May 1 114,431 7.4 % 13,220 1,169 100,042 11.6 % 1.0 % 0.078 % 0.78 0.0080
Apr 30 106,498 7.1 % 11,619 1,073 93,806 10.9 % 1.0 % 0.073 % 0.73 0.0074
Apr 29 99,399 6.2 % 10,286 972 88,141 10.3 % 1.0 % 0.068 % 0.68 0.0067
Apr 28 93,558 7.4 % 8,456 867 84,235 9.0 % 0.9 % 0.064 % 0.64 0.0059
Apr 27 87,147 7.7 % 7,346 795 79,006 8.4 % 0.9 % 0.06 % 0.60 0.0054
Apr 26 80,949 8.5 % 6,767 747 73,435 8.4 % 0.9 % 0.055 % 0.55 0.0051
Apr 25 74,588 8.7 % 6,250 681 67,657 8.4 % 0.9 % 0.051 % 0.51 0.0047
Apr 24 68,622 9.3 % 5,568 615 62,439 8.1 % 0.9 % 0.047 % 0.47 0.0042
Apr 23 62,773 8.2 % 4,891 555 57,327 7.8 % 0.9 % 0.043 % 0.43 0.0038
Apr 22 57,999 9.9 % 4,420 513 53,066 7.6 % 0.9 % 0.04 % 0.40 0.0035
Apr 21 52,763 12.0 % 3,873 456 48,434 7.3 % 0.9 % 0.036 % 0.36 0.0031
Apr 20 47,121 10.0 % 3,446 405 43,270 7.3 % 0.9 % 0.032 % 0.32 0.0028
Apr 19 42,853 16.5 % 3,291 361 39,201 7.7 % 0.8 % 0.029 % 0.29 0.0025
Apr 18 36,793 14.9 % 3,057 313 33,423 8.3 % 0.9 % 0.025 % 0.25 0.0021
Apr 17 32,008 14.6 % 2,590 273 29,145 8.1 % 0.9 % 0.022 % 0.22 0.0019
Apr 16 27,938 14.1 % 2,304 232 25,402 8.2 % 0.8 % 0.019 % 0.19 0.0016
Apr 15 24,490 16.1 % 1,986 198 22,306 8.1 % 0.8 % 0.017 % 0.17 0.0014
Apr 14 21,102 15.1 % 1,694 170 19,238 8.0 % 0.8 % 0.014 % 0.14 0.0012
Apr 13 18,328 16.2 % 1,470 148 16,710 8.0 % 0.8 % 0.013 % 0.13 0.0010
Apr 12 15,770 15.9 % 1,291 130 14,349 8.2 % 0.8 % 0.011 % 0.11 0.00089
Apr 11 13,612 14.2 % 1,050 107 12,455 7.7 % 0.8 % 0.0093 % 0.093 0.00073
Apr 10 11,920 17.5 % 804 95 11,021 6.7 % 0.8 % 0.0082 % 0.082 0.00065
Apr 9 10,145 16.9 % 711 79 9,355 7.0 % 0.8 % 0.007 % 0.070 0.00054
Apr 8 8,678 15.5 % 598 74 8,006 6.9 % 0.9 % 0.0059 % 0.059 0.00051
Apr 7 7,514 18.3 % 505 61 6,948 6.7 % 0.8 % 0.0052 % 0.052 0.00042
Apr 6 6,351 17.5 % 429 51 5,871 6.8 % 0.8 % 0.0044 % 0.044 0.00035
Apr 5 5,406 14.2 % 395 47 4,964 7.3 % 0.9 % 0.0037 % 0.037 0.00032
Apr 4 4,734 14.2 % 355 43 4,336 7.5 % 0.9 % 0.0032 % 0.032 0.00029
Apr 3 4,146 16.9 % 301 35 3,810 7.3 % 0.8 % 0.0028 % 0.028 0.00024
Apr 2 3,546 27.8 % 254 31 3,261 7.2 % 0.9 % 0.0024 % 0.024 0.00021
Apr 1 2,775 18.8 % 207 27 2,541 7.5 % 1.0 % 0.0019 % 0.019 0.00019
Mar 31 2,336 27.7 % 142 20 2,174 6.1 % 0.9 % 0.0016 % 0.016 0.00014
Mar 30 1,829 19.6 % 75 16 1,738 4.1 % 0.9 % 0.0013 % 0.013 0.00011
Mar 29 1,529 21.9 % 68 9 1,452 4.4 % 0.6 % 0.001 % 0.010 0.00
Mar 28 1,254 20.9 % 64 7 1,183 5.1 % 0.6 % < 0.001 % 0.0086 0.00
Mar 27 1,037 22.9 % 47 4 986 4.5 % 0.4 % < 0.001 % 0.0071 0.00
Mar 26 844 28.1 % 39 2 803 4.6 % 0.2 % < 0.001 % 0.0058 0.00
Mar 25 659 37.6 % 36 2 621 5.5 % 0.3 % < 0.001 % 0.0045 0.00
Mar 24 479 12.7 % 23 0 456 4.8 % 0.0 % < 0.001 % 0.0033 0.00
Mar 23 425 21.4 % 19 0 406 4.5 % 0.0 % < 0.001 % 0.0029 0.00
Mar 22 350 22.0 % 17 0 333 4.9 % 0.0 % < 0.001 % 0.0024 0.00
Mar 21 287 17.6 % 17 0 270 5.9 % 0.0 % < 0.001 % 0.0020 0.00
Mar 20 244 45.2 % 9 0 235 3.7 % 0.0 % < 0.001 % 0.0017 0.00
Mar 19 168 28.2 % 8 0 160 4.8 % 0.0 % < 0.001 % 0.0012 0.00
Mar 18 131 45.6 % 5 0 126 3.8 % 0.0 % < 0.001 % 0.00090 0.00
Mar 17 90 7.1 % 4 0 86 4.4 % 0.0 % < 0.001 % 0.00062 0.00
Mar 16 84 4 0 80 4.8 % 0.0 % < 0.001 % 0.00058 0.00

Coronavirus in Russia

Cumulative Russian statistics | Distribution over the regions | Compare the regions

Altai Krai

Altai Republic

Amur Oblast

Arkhangelsk Oblast ▲▲

Astrakhan Oblast

Belgorod Oblast

Bryansk Oblast

Chechen Republic

Chelyabinsk Oblast

Chukotka Autonomous Okrug

Chuvash Republic

Irkutsk Oblast

Ivanovo Oblast

Jewish Autonomous Oblast ▲▲

Kabardino-Balkar Republic

Kaliningrad Oblast

Kaluga Oblast

Kamchatka Krai

Karachay-Cherkess Republic

Kemerovo Oblast

Khabarovsk Krai

Khanty–Mansi Autonomous Okrug – Yugra

Kirov Oblast

Komi Republic

Kostroma Oblast

Krasnodar Krai

Krasnoyarsk Krai

Kurgan Oblast

Kursk Oblast

Leningrad Oblast

Lipetsk Oblast

Magadan Oblast

Mari El Republic

Moscow

Moscow Oblast

Murmansk Oblast

Nenets Autonomous Okrug

Nizhny Novgorod Oblast

Novgorod Oblast ▲▲

Novosibirsk Oblast

Omsk Oblast

Orenburg Oblast

Oryol Oblast

Penza Oblast

Perm Krai

Primorsky Krai

Pskov Oblast

Republic of Adygea

Republic of Bashkortostan

Republic of Buryatia

Republic of Crimea

Republic of Dagestan

Republic of Ingushetia

Republic of Kalmykia

Republic of Karelia

Republic of Khakassia

Republic of Mordovia

Republic of North Ossetia-Alania

Republic of Tatarstan

Rostov Oblast

Ryazan Oblast

Saint Petersburg

Sakha (Yakutia) Republic

Sakhalin Oblast ▲▲

Samara Oblast

Saratov Oblast

Sevastopol

Smolensk Oblast

Stavropol Krai

Sverdlovsk Oblast

Tambov Oblast

Tomsk Oblast

Tula Oblast

Tuva Republic

Tver Oblast

Tyumen Oblast

Udmurt Republic

Ulyanovsk Oblast

Vladimir Oblast

Volgograd Oblast

Vologda Oblast

Voronezh Oblast

Yamalo-Nenets Autonomous Okrug

Yaroslavl Oblast

Zabaykalsky Krai

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

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.