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Coronavirus in Italy

Affected Population

0.15 %

This is the part of confirmed infection cases against the total 61 million of its population.

Affected 1 of every 655
Failed to recover 1 of every 6,041

Recovery Pie

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

Raw Numbers on March 28th, 2020

92,472confirmed

12,384recovered

10,023failed

70,065active

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Italy 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 Italy. 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 less cases registered today than yesterday.

Raw Daily Numbers

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Failed
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
1 confirmed
per every
1 failed
per every
Mar 28th 92,472 6.9 % 12,384 10,023 70,065 13.4 % 10.8 % 0.15 % 655 6,041
Mar 27th 86,498 7.3 % 10,950 9,134 66,414 12.7 % 10.6 % 0.14 % 700 6,629
Mar 26th 80,589 8.3 % 10,361 8,215 62,013 12.9 % 10.2 % 0.13 % 751 7,371
Mar 25th 74,386 7.5 % 9,362 7,503 57,521 12.6 % 10.1 % 0.12 % 814 8,070
Mar 24th 69,176 8.2 % 8,326 6,820 54,030 12.0 % 9.9 % 0.11 % 875 8,878
Mar 23th 63,927 8.1 % 7,432 6,077 50,418 11.6 % 9.5 % 0.11 % 947 9,964
Mar 22nd 59,138 10.4 % 7,024 5,476 46,638 11.9 % 9.3 % 0.098 % 1,024 11,057
Mar 21st 53,578 13.9 % 6,072 4,825 42,681 11.3 % 9.0 % 0.088 % 1,130 12,549
Mar 20th 47,021 14.6 % 4,440 4,032 38,549 9.4 % 8.6 % 0.078 % 1,288 15,017
Mar 19th 41,035 14.9 % 4,440 3,405 33,190 10.8 % 8.3 % 0.068 % 1,476 17,783
Mar 18th 35,713 13.4 % 4,025 2,978 28,710 11.3 % 8.3 % 0.059 % 1,695 20,332
Mar 17th 31,506 12.6 % 2,941 2,503 26,062 9.3 % 7.9 % 0.052 % 1,922 24,191
Mar 16th 27,980 13.1 % 2,749 2,158 23,073 9.8 % 7.7 % 0.046 % 2,164 28,058
Mar 15th 24,747 17.0 % 2,335 1,809 20,603 9.4 % 7.3 % 0.041 % 2,447 33,472
Mar 14th 21,157 19.8 % 1,966 1,441 17,750 9.3 % 6.8 % 0.035 % 2,862 42,020
Mar 13th 17,660 41.7 % 1,439 1,266 14,955 8.1 % 7.2 % 0.029 % 3,429 47,828
Mar 12th 12,462 0.0 % 1,045 827 10,590 8.4 % 6.6 % 0.021 % 4,859 73,217
Mar 11th 12,462 22.8 % 1,045 827 10,590 8.4 % 6.6 % 0.021 % 4,859 73,217
Mar 10th 10,149 10.7 % 724 631 8,794 7.1 % 6.2 % 0.017 % 5,966 95,959
Mar 9th 9,172 24.4 % 724 463 7,985 7.9 % 5.0 % 0.015 % 6,602 130,778
Mar 8th 7,375 25.4 % 622 366 6,387 8.4 % 5.0 % 0.012 % 8,210 165,437
Mar 7th 5,883 26.9 % 589 233 5,061 10.0 % 4.0 % 0.0097 % 10,292 259,872
Mar 6th 4,636 20.2 % 523 197 3,916 11.3 % 4.2 % 0.0077 % 13,061 307,361
Mar 5th 3,858 24.9 % 414 148 3,296 10.7 % 3.8 % 0.0064 % 15,695 409,122
Mar 4th 3,089 23.5 % 276 107 2,706 8.9 % 3.5 % 0.0051 % 19,602 565,889
Mar 3rd 2,502 22.9 % 160 79 2,263 6.4 % 3.2 % 0.0041 % 24,201 766,457
Mar 2nd 2,036 20.2 % 149 52 1,835 7.3 % 2.6 % 0.0034 % 29,740 1,164,425
Mar 1st 1,694 50.2 % 83 34 1,577 4.9 % 2.0 % 0.0028 % 35,744 1,780,885
Feb 29th 1,128 27.0 % 46 29 1,053 4.1 % 2.6 % 0.0019 % 53,679 2,087,934
Feb 28th 888 35.6 % 46 21 821 5.2 % 2.4 % 0.0015 % 68,187 2,883,338
Feb 27th 655 44.6 % 45 17 593 6.9 % 2.6 % 0.0011 % 92,443 3,561,771
Feb 26th 453 40.7 % 3 12 438 0.7 % 2.6 % < 0.001 % 133,665 5,045,842
Feb 25th 322 40.6 % 1 10 311 0.3 % 3.1 % < 0.001 % 188,044 6,055,010
Feb 24th 229 47.7 % 1 7 221 0.4 % 3.1 % < 0.001 % 264,411 8,650,014
Feb 23th 155 150.0 % 2 3 150 1.3 % 1.9 % < 0.001 % 390,646 20,183,367
Feb 22nd 62 210.0 % 1 2 59 1.6 % 3.2 % < 0.001 % 976,615 30,275,050
Feb 21st 20 566.7 % 0 1 19 0.0 % 5.0 % < 0.001 % 3,027,505 60,550,100
Feb 20th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 19th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 18th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 17th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 16th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 15th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 14th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 13th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 12th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 11th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 10th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 9th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 8th 3 0.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 7th 3 50.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 20,183,367
Feb 6th 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 30,275,050
Feb 5th 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 30,275,050
Feb 4th 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 30,275,050
Feb 3rd 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 30,275,050
Feb 2nd 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 30,275,050
Feb 1st 2 0.0 % 0 0 2 0.0 % 0.0 % < 0.001 % 30,275,050
Jan 31st 2 0 0 2 0.0 % 0.0 % < 0.001 % 30,275,050

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

Andorra

Angola

Anguilla

Antigua and Barbuda

Argentina

Armenia

Aruba

Australia

Austria

Azerbaijan

Bahamas

Bahrain

Bangladesh

Barbados

Belarus

Belgium

Belize

Benin

Bermuda

Bhutan

Bolivia

Bosnia and Herzegovina

Brazil

British Virgin Islands

Brunei Darussalam

Bulgaria

Burkina Faso

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

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

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

San Marino

Saudi Arabia

Senegal

Serbia

Seychelles

Singapore

Sint Maarten

Slovakia

Slovenia

Somalia

South Africa

South Korea

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

Zambia

Zimbabwe

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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.