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Coronavirus in Brazil

Affected Population

0.0058 %

This is the part of confirmed infection cases against the total 211 million of its population.

Affected 1 of every 17,355
Failed to recover 1 of every 374,201

Recovery Pie

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

Raw Numbers on April 6th, 2020

12,161confirmed+1,031

127recovered0

564failed+78

11,470active+953

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Brazil 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 Brazil. The main three parameters are the number of confirmed cases, the number of recoveries and failures. The orange line is the speed of changing of the number of active cases (i.e., of those, who are still ill).

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.

Mortality Level

The gray bars on this graph display the absolute number of deaths that happen in Brazil 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 Brazil 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 for Brazil 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.

Raw Daily Numbers

Download as CSV | XLS

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Died
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
Confirmed
per million
Died
per million
Apr 6th 12,161 9.3 % 127 564 11,470 1.0 % 4.6 % 0.0058 % 57.62 2.67
Apr 5th 11,130 7.4 % 127 486 10,517 1.1 % 4.4 % 0.0053 % 52.74 2.30
Apr 4th 10,360 14.4 % 127 445 9,788 1.2 % 4.3 % 0.0049 % 49.09 2.11
Apr 3rd 9,056 12.6 % 127 359 8,570 1.4 % 4.0 % 0.0043 % 42.91 1.70
Apr 2nd 8,044 17.7 % 127 324 7,593 1.6 % 4.0 % 0.0038 % 38.11 1.54
Apr 1st 6,836 19.6 % 127 240 6,469 1.9 % 3.5 % 0.0032 % 32.39 1.14
Mar 31st 5,717 24.9 % 127 201 5,389 2.2 % 3.5 % 0.0027 % 27.09 0.95
Mar 30th 4,579 7.6 % 120 159 4,300 2.6 % 3.5 % 0.0022 % 21.70 0.75
Mar 29th 4,256 9.0 % 6 136 4,114 0.1 % 3.2 % 0.002 % 20.17 0.64
Mar 28th 3,904 14.3 % 6 111 3,787 0.2 % 2.8 % 0.0018 % 18.50 0.53
Mar 27th 3,417 14.5 % 6 92 3,319 0.2 % 2.7 % 0.0016 % 16.19 0.44
Mar 26th 2,985 16.9 % 6 77 2,902 0.2 % 2.6 % 0.0014 % 14.14 0.36
Mar 25th 2,554 13.7 % 2 59 2,493 0.1 % 2.3 % 0.0012 % 12.10 0.28
Mar 24th 2,247 16.8 % 2 46 2,199 0.1 % 2.0 % 0.0011 % 10.65 0.22
Mar 23rd 1,924 24.5 % 2 34 1,888 0.1 % 1.8 % < 0.001 % 9.12 0.16
Mar 22nd 1,546 51.4 % 2 25 1,519 0.1 % 1.6 % < 0.001 % 7.33 0.12
Mar 21st 1,021 28.8 % 2 15 1,004 0.2 % 1.5 % < 0.001 % 4.84 0.07
Mar 20th 793 27.7 % 2 11 780 0.3 % 1.4 % < 0.001 % 3.76 0.05
Mar 19th 621 66.9 % 2 6 613 0.3 % 1.0 % < 0.001 % 2.94 0.03
Mar 18th 372 15.9 % 2 3 367 0.5 % 0.8 % < 0.001 % 1.76 0.01
Mar 17th 321 60.5 % 2 1 318 0.6 % 0.3 % < 0.001 % 1.52 0.00
Mar 16th 200 23.5 % 1 0 199 0.5 % 0.0 % < 0.001 % 0.95 0.00
Mar 15th 162 7.3 % 0 0 162 0.0 % 0.0 % < 0.001 % 0.77 0.00
Mar 14th 151 0.0 % 0 0 151 0.0 % 0.0 % < 0.001 % 0.72 0.00
Mar 13th 151 190.4 % 0 0 151 0.0 % 0.0 % < 0.001 % 0.72 0.00
Mar 12th 52 36.8 % 0 0 52 0.0 % 0.0 % < 0.001 % 0.25 0.00
Mar 11th 38 22.6 % 0 0 38 0.0 % 0.0 % < 0.001 % 0.18 0.00
Mar 10th 31 24.0 % 0 0 31 0.0 % 0.0 % < 0.001 % 0.15 0.00
Mar 9th 25 25.0 % 0 0 25 0.0 % 0.0 % < 0.001 % 0.12 0.00
Mar 8th 20 53.8 % 0 0 20 0.0 % 0.0 % < 0.001 % 0.09 0.00
Mar 7th 13 0.0 % 0 0 13 0.0 % 0.0 % < 0.001 % 0.06 0.00
Mar 6th 13 225.0 % 0 0 13 0.0 % 0.0 % < 0.001 % 0.06 0.00
Mar 5th 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.02 0.00
Mar 4th 4 100.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 0.02 0.00
Mar 3rd 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.01 0.00
Mar 2nd 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.01 0.00
Mar 1st 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.01 0.00
Feb 29th 2 100.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 0.01 0.00
Feb 28th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 27th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00
Feb 26th 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.00 0.00

Statistics per Continent

Spread over the continents timeline

Whole world

Africa

Asia

Europe

North America

Oceania

South America

Statistics per Country

The whole world

World excluding China

More statistics on countries

Countries vs China

Whole world

Afghanistan

Albania

Algeria

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Antigua and Barbuda

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Australia

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Belgium

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Bhutan

Bolivia

Bonaire, St. Eustatius & Saba

Bosnia and Herzegovina

Botswana

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria

Burkina Faso

Burundi

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Cameroon

Canada

Cayman Islands

Central African Republic

Chad

Chile

China

China, Hong Kong SAR

China, Macao SAR

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

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Iceland

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Isle of Man

Israel

Italy

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Lao People's Dem. Rep.

Latvia

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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

Zambia

Zimbabwe

The green and red arrows display the change of the number of new confirmed cases for the last two days.

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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. 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.