Coronavirus in Vologda Oblast

Affected Population

4.8 %

This is the part of confirmed infection cases against the total 1 million of its population.

Affected 47.6 per 1000 people
Died 1.20 per 1000 people

Recovery Pie

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

Raw Numbers on August 2, 2021

55,207confirmed+226

49,250recovered+214

1,391fatal+8

4,566active+4

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Vologda Oblast 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 Vologda Oblast. 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 7-day index

This and the following graph show the indices that some countries use for setting travel restrictions. The value is the number of new confirmed cases for the last 7 days per 100,000 of population.

Cumulative 14-day index

The value is the number of new confirmed cases for the last 14 days per 100,000 of population.

Weekly Levels

This graph draws the number of deaths in Vologda Oblast 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 Vologda Oblast 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
Aug 2 55,207 0.4 % 49,250 1,391 4,566 89.2 % 2.5 % 4.8 % 47.6 1.20
Aug 1 54,981 0.4 % 49,036 1,383 4,562 89.2 % 2.5 % 4.7 % 47.4 1.19
Jul 31 54,754 0.4 % 48,858 1,376 4,520 89.2 % 2.5 % 4.7 % 47.2 1.19
Jul 30 54,526 0.4 % 48,657 1,368 4,501 89.2 % 2.5 % 4.7 % 47.0 1.18
Jul 29 54,296 0.4 % 48,468 1,361 4,467 89.3 % 2.5 % 4.7 % 46.8 1.17
Jul 28 54,068 0.4 % 48,270 1,354 4,444 89.3 % 2.5 % 4.7 % 46.6 1.17
Jul 27 53,841 0.4 % 48,064 1,347 4,430 89.3 % 2.5 % 4.6 % 46.4 1.16
Jul 26 53,616 0.4 % 47,847 1,339 4,430 89.2 % 2.5 % 4.6 % 46.2 1.15
Jul 25 53,389 0.4 % 47,674 1,334 4,381 89.3 % 2.5 % 4.6 % 46.0 1.15
Jul 24 53,160 0.4 % 47,476 1,327 4,357 89.3 % 2.5 % 4.6 % 45.8 1.14
Jul 23 52,930 0.4 % 47,291 1,321 4,318 89.3 % 2.5 % 4.6 % 45.6 1.14
Jul 22 52,698 0.4 % 47,094 1,315 4,289 89.4 % 2.5 % 4.5 % 45.4 1.13
Jul 21 52,465 0.4 % 46,920 1,309 4,236 89.4 % 2.5 % 4.5 % 45.2 1.13
Jul 20 52,235 0.4 % 46,755 1,303 4,177 89.5 % 2.5 % 4.5 % 45.0 1.12
Jul 19 52,010 0.4 % 46,603 1,294 4,113 89.6 % 2.5 % 4.5 % 44.8 1.12
Jul 18 51,783 0.4 % 46,449 1,289 4,045 89.7 % 2.5 % 4.5 % 44.6 1.11
Jul 17 51,552 0.4 % 46,310 1,282 3,960 89.8 % 2.5 % 4.4 % 44.4 1.10
Jul 16 51,326 0.4 % 46,164 1,276 3,886 89.9 % 2.5 % 4.4 % 44.2 1.10
Jul 15 51,099 0.4 % 45,966 1,269 3,864 90.0 % 2.5 % 4.4 % 44.0 1.09
Jul 14 50,874 0.4 % 45,770 1,259 3,845 90.0 % 2.5 % 4.4 % 43.8 1.08
Jul 13 50,654 0.4 % 45,618 1,250 3,786 90.1 % 2.5 % 4.4 % 43.7 1.08
Jul 12 50,438 0.4 % 45,436 1,242 3,760 90.1 % 2.5 % 4.3 % 43.5 1.07
Jul 11 50,223 0.4 % 45,260 1,233 3,730 90.1 % 2.5 % 4.3 % 43.3 1.06
Jul 10 50,004 0.4 % 45,103 1,222 3,679 90.2 % 2.4 % 4.3 % 43.1 1.05
Jul 9 49,783 0.4 % 44,941 1,213 3,629 90.3 % 2.4 % 4.3 % 42.9 1.05
Jul 8 49,566 0.4 % 44,790 1,203 3,573 90.4 % 2.4 % 4.3 % 42.7 1.04
Jul 7 49,347 0.4 % 44,664 1,193 3,490 90.5 % 2.4 % 4.3 % 42.5 1.03
Jul 6 49,131 0.4 % 44,566 1,187 3,378 90.7 % 2.4 % 4.2 % 42.3 1.02
Jul 5 48,919 0.4 % 44,484 1,177 3,258 90.9 % 2.4 % 4.2 % 42.2 1.01
Jul 4 48,719 0.4 % 44,408 1,174 3,137 91.2 % 2.4 % 4.2 % 42.0 1.01
Jul 3 48,517 0.4 % 44,341 1,171 3,005 91.4 % 2.4 % 4.2 % 41.8 1.01
Jul 2 48,332 0.4 % 44,269 1,168 2,895 91.6 % 2.4 % 4.2 % 41.6 1.01
Jul 1 48,153 0.3 % 44,204 1,165 2,784 91.8 % 2.4 % 4.1 % 41.5 1.00
Jun 30 47,997 0.3 % 44,147 1,163 2,687 92.0 % 2.4 % 4.1 % 41.4 1.00
Jun 29 47,862 0.2 % 44,126 1,160 2,576 92.2 % 2.4 % 4.1 % 41.2 1.00
Jun 28 47,751 0.2 % 44,100 1,158 2,493 92.4 % 2.4 % 4.1 % 41.1 1.00
Jun 27 47,650 0.2 % 44,080 1,155 2,415 92.5 % 2.4 % 4.1 % 41.1 1.00
Jun 26 47,554 0.2 % 44,055 1,152 2,347 92.6 % 2.4 % 4.1 % 40.98 0.99
Jun 25 47,463 0.2 % 44,027 1,149 2,287 92.8 % 2.4 % 4.1 % 40.90 0.99
Jun 24 47,380 0.2 % 44,000 1,147 2,233 92.9 % 2.4 % 4.1 % 40.83 0.99
Jun 23 47,304 0.1 % 43,961 1,144 2,199 92.9 % 2.4 % 4.1 % 40.76 0.99
Jun 22 47,234 0.1 % 43,916 1,142 2,176 93.0 % 2.4 % 4.1 % 40.70 0.98
Jun 21 47,169 0.1 % 43,873 1,139 2,157 93.0 % 2.4 % 4.1 % 40.65 0.98
Jun 20 47,108 0.1 % 43,826 1,137 2,145 93.0 % 2.4 % 4.1 % 40.59 0.98
Jun 19 47,046 0.1 % 43,780 1,135 2,131 93.1 % 2.4 % 4.1 % 40.54 0.98
Jun 18 46,986 0.1 % 43,726 1,133 2,127 93.1 % 2.4 % 4 % 40.49 0.98
Jun 17 46,928 0.1 % 43,679 1,131 2,118 93.1 % 2.4 % 4 % 40.44 0.97
Jun 16 46,869 0.1 % 43,627 1,130 2,112 93.1 % 2.4 % 4 % 40.39 0.97
Jun 15 46,814 0.1 % 43,578 1,129 2,107 93.1 % 2.4 % 4 % 40.34 0.97
Jun 14 46,763 0.1 % 43,541 1,127 2,095 93.1 % 2.4 % 4 % 40.30 0.97
Jun 13 46,710 0.1 % 43,492 1,125 2,093 93.1 % 2.4 % 4 % 40.25 0.97
Jun 12 46,656 0.1 % 43,447 1,123 2,086 93.1 % 2.4 % 4 % 40.21 0.97
Jun 11 46,604 0.1 % 43,406 1,121 2,077 93.1 % 2.4 % 4 % 40.16 0.97
Jun 10 46,554 0.1 % 43,362 1,118 2,074 93.1 % 2.4 % 4 % 40.12 0.96
Jun 9 46,505 0.1 % 43,320 1,116 2,069 93.2 % 2.4 % 4 % 40.075 0.96
Jun 8 46,459 0.1 % 43,282 1,114 2,063 93.2 % 2.4 % 4 % 40.036 0.96
Jun 7 46,415 0.1 % 43,241 1,111 2,063 93.2 % 2.4 % 4 % 40.0 0.96
Jun 6 46,372 0.1 % 43,202 1,109 2,061 93.2 % 2.4 % 4 % 40.0 0.96
Jun 5 46,327 0.1 % 43,168 1,107 2,052 93.2 % 2.4 % 4 % 39.9 0.95
Jun 4 46,279 0.1 % 43,125 1,105 2,049 93.2 % 2.4 % 4 % 39.9 0.95
Jun 3 46,232 0.1 % 43,087 1,103 2,042 93.2 % 2.4 % 4 % 39.8 0.95
Jun 2 46,187 0.1 % 43,047 1,101 2,039 93.2 % 2.4 % 4 % 39.8 0.95
Jun 1 46,144 0.1 % 43,013 1,099 2,032 93.2 % 2.4 % 4 % 39.8 0.95
May 31 46,104 0.1 % 42,975 1,096 2,033 93.2 % 2.4 % 4 % 39.7 0.94
May 30 46,064 0.1 % 42,944 1,094 2,026 93.2 % 2.4 % 4 % 39.7 0.94
May 29 46,023 0.1 % 42,907 1,092 2,024 93.2 % 2.4 % 4 % 39.7 0.94
May 28 45,981 0.1 % 42,865 1,090 2,026 93.2 % 2.4 % 4 % 39.6 0.94
May 27 45,937 0.1 % 42,825 1,087 2,025 93.2 % 2.4 % 4 % 39.6 0.94
May 26 45,892 42,787 1,085 2,020 93.2 % 2.4 % 4 % 39.5 0.93

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

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Oceania

South America

Statistics per Country

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Albania

Algeria

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Angola

Anguilla

Antigua and Barbuda

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Armenia

Aruba

Australia

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Bosnia and Herzegovina ▲▲

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Cyprus

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Dem. Rep. of the Congo

Denmark

Djibouti

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Dominican Republic

Ecuador

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Equatorial Guinea

Eritrea ▲▲

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Eswatini

Ethiopia

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Fiji

Finland

France

French Guiana

French Polynesia ▲▲

Gabon

Gambia

Georgia

Germany

Ghana

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Guinea

Guinea-Bissau

Guyana

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Holy See

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Ireland

Isle of Man

Israel

Italy

Jamaica

Japan

Jordan

Kazakhstan

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Kuwait

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Lao People's Dem. Rep.

Latvia

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Liberia

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Liechtenstein

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Madagascar

Malawi

Malaysia

Maldives

Mali

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Marshall Islands

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Mauritius

Mayotte

Mexico

Micronesia (Fed. States of)

Moldova

Monaco

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Montenegro

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Morocco

Mozambique

Myanmar

Namibia

Nepal

Netherlands

New Caledonia

New Zealand

Nicaragua

Niger

Nigeria

North Macedonia

Norway

Oman

Pakistan

Palau

Panama

Papua New Guinea ▲▲

Paraguay

Peru

Philippines

Poland

Portugal

Puerto Rico

Qatar

Réunion

Romania

Russian Federation

Rwanda

Saint Barthélemy

Saint Kitts and Nevis

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Samoa

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Sao Tome and Principe

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Senegal

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Slovakia

Slovenia

Solomon Islands

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Uganda

Ukraine

United Arab Emirates

United Kingdom

United States of America

Uruguay

Uzbekistan

Vanuatu

Venezuela

Viet Nam

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.