Coronavirus in Paraguay

Affected Population

0.012 %

This is the part of confirmed infection cases against the total 7 million of its population.

Affected 0.12 per 1000 people
Died 0.0016 per 1000 people

Recovery Pie

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

Raw Numbers on May 25, 2020

865confirmed+3

344recovered+37

11fatal0

510active−34

Daily Flow

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

Mortality Level

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

As there is no monthly data available in Paraguay, the gray bars are the average numbers obtained via the crude death values known for this country for the recent five years of the available dataset.

Weekly Levels

This graph draws the number of deaths in Paraguay 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 Paraguay 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 Paraguay 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 25 865 0.3 % 344 11 510 39.8 % 1.3 % 0.012 % 0.12 0.0016
May 24 862 1.4 % 307 11 544 35.6 % 1.3 % 0.012 % 0.12 0.0016
May 23 850 1.4 % 298 11 541 35.1 % 1.3 % 0.012 % 0.12 0.0016
May 22 838 0.2 % 264 11 563 31.5 % 1.3 % 0.012 % 0.12 0.0016
May 21 836 0.4 % 256 11 569 30.6 % 1.3 % 0.012 % 0.12 0.0016
May 20 833 0.5 % 242 11 580 29.1 % 1.3 % 0.012 % 0.12 0.0016
May 19 829 5.2 % 230 11 588 27.7 % 1.3 % 0.012 % 0.12 0.0016
May 18 788 0.3 % 219 11 558 27.8 % 1.4 % 0.011 % 0.11 0.0016
May 17 786 1.0 % 202 11 573 25.7 % 1.4 % 0.011 % 0.11 0.0016
May 16 778 2.5 % 198 11 569 25.4 % 1.4 % 0.011 % 0.11 0.0016
May 15 759 0.7 % 193 11 555 25.4 % 1.4 % 0.011 % 0.11 0.0016
May 14 754 1.9 % 184 11 559 24.4 % 1.5 % 0.011 % 0.11 0.0016
May 13 740 0.4 % 182 11 547 24.6 % 1.5 % 0.011 % 0.11 0.0016
May 12 737 1.8 % 173 10 554 23.5 % 1.4 % 0.01 % 0.10 0.0014
May 11 724 1.5 % 170 10 544 23.5 % 1.4 % 0.01 % 0.10 0.0014
May 10 713 3.5 % 165 10 538 23.1 % 1.4 % 0.01 % 0.10 0.0014
May 9 689 22.4 % 155 10 524 22.5 % 1.5 % 0.0098 % 0.098 0.0014
May 8 563 21.9 % 152 10 401 27.0 % 1.8 % 0.008 % 0.080 0.0014
May 7 462 5.0 % 148 10 304 32.0 % 2.2 % 0.0066 % 0.066 0.0014
May 6 440 2.1 % 142 10 288 32.3 % 2.3 % 0.0062 % 0.062 0.0014
May 5 431 3.9 % 135 10 286 31.3 % 2.3 % 0.0061 % 0.061 0.0014
May 4 415 4.8 % 130 10 275 31.3 % 2.4 % 0.0059 % 0.059 0.0014
May 3 396 7.0 % 126 10 260 31.8 % 2.5 % 0.0056 % 0.056 0.0014
May 2 370 11.1 % 119 10 241 32.2 % 2.7 % 0.0053 % 0.053 0.0014
May 1 333 25.2 % 115 10 208 34.5 % 3.0 % 0.0047 % 0.047 0.0014
Apr 30 266 11.3 % 113 10 143 42.5 % 3.8 % 0.0038 % 0.038 0.0014
Apr 29 239 0.0 % 102 9 128 42.7 % 3.8 % 0.0034 % 0.034 0.0013
Apr 28 239 4.8 % 102 9 128 42.7 % 3.8 % 0.0034 % 0.034 0.0013
Apr 27 228 0.0 % 93 9 126 40.8 % 3.9 % 0.0032 % 0.032 0.0013
Apr 26 228 0.0 % 85 9 134 37.3 % 3.9 % 0.0032 % 0.032 0.0013
Apr 25 228 2.2 % 85 9 134 37.3 % 3.9 % 0.0032 % 0.032 0.0013
Apr 24 223 4.7 % 78 9 136 35.0 % 4.0 % 0.0032 % 0.032 0.0013
Apr 23 213 0.0 % 67 9 137 31.5 % 4.2 % 0.003 % 0.030 0.0013
Apr 22 213 2.4 % 62 9 142 29.1 % 4.2 % 0.003 % 0.030 0.0013
Apr 21 208 0.0 % 53 8 147 25.5 % 3.8 % 0.003 % 0.030 0.0011
Apr 20 208 1.0 % 46 8 154 22.1 % 3.8 % 0.003 % 0.030 0.0011
Apr 19 206 2.0 % 41 8 157 19.9 % 3.9 % 0.0029 % 0.029 0.0011
Apr 18 202 1.5 % 35 8 159 17.3 % 4.0 % 0.0029 % 0.029 0.0011
Apr 17 199 14.4 % 30 8 161 15.1 % 4.0 % 0.0028 % 0.028 0.0011
Apr 16 174 8.1 % 30 8 136 17.2 % 4.6 % 0.0025 % 0.025 0.0011
Apr 15 161 1.3 % 23 8 130 14.3 % 5.0 % 0.0023 % 0.023 0.0011
Apr 14 159 8.2 % 22 7 130 13.8 % 4.4 % 0.0023 % 0.023 0.00099
Apr 13 147 9.7 % 22 6 119 15.0 % 4.1 % 0.0021 % 0.021 0.00085
Apr 12 134 0.8 % 22 6 106 16.4 % 4.5 % 0.0019 % 0.019 0.00085
Apr 11 133 3.1 % 18 6 109 13.5 % 4.5 % 0.0019 % 0.019 0.00085
Apr 10 129 4.0 % 18 6 105 14.0 % 4.7 % 0.0018 % 0.018 0.00085
Apr 9 124 4.2 % 18 5 101 14.5 % 4.0 % 0.0018 % 0.018 0.00071
Apr 8 119 3.5 % 15 5 99 12.6 % 4.2 % 0.0017 % 0.017 0.00071
Apr 7 115 1.8 % 15 5 95 13.0 % 4.3 % 0.0016 % 0.016 0.00071
Apr 6 113 8.7 % 12 5 96 10.6 % 4.4 % 0.0016 % 0.016 0.00071
Apr 5 104 8.3 % 12 3 89 11.5 % 2.9 % 0.0015 % 0.015 0.00043
Apr 4 96 4.3 % 12 3 81 12.5 % 3.1 % 0.0014 % 0.014 0.00043
Apr 3 92 19.5 % 6 3 83 6.5 % 3.3 % 0.0013 % 0.013 0.00043
Apr 2 77 11.6 % 2 3 72 2.6 % 3.9 % 0.0011 % 0.011 0.00043
Apr 1 69 6.2 % 1 3 65 1.4 % 4.3 % < 0.001 % 0.0098 0.00043
Mar 31 65 1.6 % 1 3 61 1.5 % 4.6 % < 0.001 % 0.0092 0.00043
Mar 30 64 8.5 % 1 3 60 1.6 % 4.7 % < 0.001 % 0.0091 0.00043
Mar 29 59 5.4 % 1 3 55 1.7 % 5.1 % < 0.001 % 0.0084 0.00043
Mar 28 56 7.7 % 1 3 52 1.8 % 5.4 % < 0.001 % 0.0079 0.00043
Mar 27 52 26.8 % 1 3 48 1.9 % 5.8 % < 0.001 % 0.0074 0.00043
Mar 26 41 10.8 % 0 3 38 0.0 % 7.3 % < 0.001 % 0.0058 0.00043
Mar 25 37 37.0 % 0 3 34 0.0 % 8.1 % < 0.001 % 0.0053 0.00043
Mar 24 27 22.7 % 0 2 25 0.0 % 7.4 % < 0.001 % 0.0038 0.00028
Mar 23 22 0.0 % 0 1 21 0.0 % 4.5 % < 0.001 % 0.0031 0.00014
Mar 22 22 22.2 % 0 1 21 0.0 % 4.5 % < 0.001 % 0.0031 0.00014
Mar 21 18 38.5 % 0 1 17 0.0 % 5.6 % < 0.001 % 0.0026 0.00014
Mar 20 13 18.2 % 0 0 13 0.0 % 0.0 % < 0.001 % 0.0018 0.00
Mar 19 11 0.0 % 0 0 11 0.0 % 0.0 % < 0.001 % 0.0016 0.00
Mar 18 11 22.2 % 0 0 11 0.0 % 0.0 % < 0.001 % 0.0016 0.00
Mar 17 9 12.5 % 0 0 9 0.0 % 0.0 % < 0.001 % 0.0013 0.00
Mar 16 8 33.3 % 0 0 8 0.0 % 0.0 % < 0.001 % 0.0011 0.00
Mar 15 6 0.0 % 0 0 6 0.0 % 0.0 % < 0.001 % 0.00085 0.00
Mar 14 6 0.0 % 0 0 6 0.0 % 0.0 % < 0.001 % 0.00085 0.00
Mar 13 6 20.0 % 0 0 6 0.0 % 0.0 % < 0.001 % 0.00085 0.00
Mar 12 5 0.0 % 0 0 5 0.0 % 0.0 % < 0.001 % 0.00071 0.00
Mar 11 5 400.0 % 0 0 5 0.0 % 0.0 % < 0.001 % 0.00071 0.00
Mar 10 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00014 0.00
Mar 9 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 0.00014 0.00
Mar 8 1 0 0 1 0.0 % 0.0 % < 0.001 % 0.00014 0.00

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.