Based on the methodology presented in Forecasting the Olympic medal distribution – A socioeconomic machine learning model, published with Christoph Schlembach, Sascha L. Schmidt, Dominik Schreyer and Linus Wunderlich in Technological Forecasting and Social Change. Data updated for the 2024 Olympic games for an article in the Economist.
| Country | Medals |
|---|---|
| United States | 115 |
| China | 87 |
| Great Britain | 67 |
| Japan | 59 |
| France | 46 |
| Germany | 39 |
| Australia | 38 |
| Italy | 38 |
| Netherlands | 27 |
| Canada | 21 |
| Brazil | 19 |
| South Korea | 19 |
| Spain | 18 |
| New Zealand | 17 |
| Hungary | 16 |
| Poland | 15 |
| Ukraine | 15 |
| Switzerland | 14 |
| Cuba | 12 |
| Turkey | 10 |
| Czech Republic | 10 |
| Serbia | 9 |
| Denmark | 9 |
| Azerbaijan | 9 |
| Sweden | 9 |
| Jamaica | 9 |
| Kazakhstan | 8 |
| Chinese Taipei | 8 |
| Georgia | 8 |
| Croatia | 8 |
| Kenya | 8 |
| Norway | 8 |
| Belgium | 7 |
| Austria | 7 |
| Iran | 6 |
| India | 6 |
| Bulgaria | 5 |
| Slovenia | 5 |
| Argentina | 5 |
| Uzbekistan | 5 |
| Hong Kong, China | 5 |
| Mexico | 5 |
| Colombia | 5 |
| South Africa | 5 |
| Ethiopia | 4 |
| Armenia | 4 |
| Venezuela | 4 |
| Greece | 4 |
| Indonesia | 4 |
| Israel | 4 |
| Kyrgyzstan | 4 |
| Romania | 4 |
| Portugal | 4 |
| Philippines | 4 |
| Mongolia | 4 |
| Ireland | 4 |
| Slovakia | 4 |
| Dominican Republic | 4 |
| Uganda | 4 |
| Thailand | 3 |
| Nigeria | 3 |
| Ecuador | 3 |
| Tunisia | 3 |
| Finland | 3 |
| Qatar | 3 |
| Malaysia | 3 |
| Lithuania | 3 |
| Puerto Rico | 2 |
| Algeria | 2 |
| Kosovo | 2 |
| Egypt | 2 |
| San Marino | 2 |
| Bahrain | 2 |
| Bahamas | 2 |
| Morocco | 2 |
| North Macedonia | 2 |
| North Korea | 2 |
| Moldova | 2 |
| Jordan | 2 |
| Saudi Arabia | 2 |
| Estonia | 2 |
| Fiji | 2 |
| Vietnam | 2 |
| Bermuda | 1 |
| Grenada | 1 |
| Mali | 1 |
| Trinidad and Tobago | 1 |
| Singapore | 1 |
| Palau | 0 |
| Peru | 0 |
| Paraguay | 0 |
| Virgin Islands | 0 |
| Papua New Guinea | 0 |
| Panama | 0 |
| Palestine | 0 |
| São Tomé and Príncipe | 0 |
| Pakistan | 0 |
| Vanuatu | 0 |
| Uruguay | 0 |
| Oman | 0 |
| Sri Lanka | 0 |
| Solomon Islands | 0 |
| South Sudan | 0 |
| Somalia | 0 |
| Niger | 0 |
| Nicaragua | 0 |
| Sudan | 0 |
| Yemen | 0 |
| Suriname | 0 |
| United Arab Emirates | 0 |
| Tajikistan | 0 |
| Tanzania | 0 |
| Senegal | 0 |
| The Gambia | 0 |
| Samoa | 0 |
| Togo | 0 |
| Tonga | 0 |
| Zambia | 0 |
| Saint Vincent and the Grenadines | 0 |
| Seychelles | 0 |
| Sierra Leone | 0 |
| Turkmenistan | 0 |
| Saint Lucia | 0 |
| Saint Kitts and Nevis | 0 |
| Tuvalu | 0 |
| Rwanda | 0 |
| Republic of the Congo | 0 |
| Swaziland | 0 |
| Syria | 0 |
| Afghanistan | 0 |
| Lebanon | 0 |
| Nepal | 0 |
| Eritrea | 0 |
| Cameroon | 0 |
| Cape Verde | 0 |
| Cayman Islands | 0 |
| Central African Republic | 0 |
| Chad | 0 |
| Chile | 0 |
| Comoros | 0 |
| Cook Islands | 0 |
| Costa Rica | 0 |
| Cyprus | 0 |
| Democratic Republic of the Congo | 0 |
| Djibouti | 0 |
| Dominica | 0 |
| East Timor | 0 |
| El Salvador | 0 |
| Cambodia | 0 |
| Burundi | 0 |
| Burkina Faso | 0 |
| Barbados | 0 |
| American Samoa | 0 |
| Andorra | 0 |
| Angola | 0 |
| Antigua and Barbuda | 0 |
| Aruba | 0 |
| Bangladesh | 0 |
| Belize | 0 |
| Brunei | 0 |
| Benin | 0 |
| Bhutan | 0 |
| Bolivia | 0 |
| Bosnia and Herzegovina | 0 |
| Botswana | 0 |
| British Virgin Islands | 0 |
| Equatorial Guinea | 0 |
| Federated States of Micronesia | 0 |
| Nauru | 0 |
| Gabon | 0 |
| Libya | 0 |
| Liechtenstein | 0 |
| Luxembourg | 0 |
| Madagascar | 0 |
| Malawi | 0 |
| Maldives | 0 |
| Malta | 0 |
| Marshall Islands | 0 |
| Mauritania | 0 |
| Mauritius | 0 |
| Monaco | 0 |
| Montenegro | 0 |
| Mozambique | 0 |
| Myanmar | 0 |
| Namibia | 0 |
| Liberia | 0 |
| Lesotho | 0 |
| Albania | 0 |
| Haiti | 0 |
| Ghana | 0 |
| Guam | 0 |
| Guatemala | 0 |
| Guinea | 0 |
| Guinea-Bissau | 0 |
| Guyana | 0 |
| Honduras | 0 |
| Latvia | 0 |
| Iceland | 0 |
| Iraq | 0 |
| Ivory Coast | 0 |
| Kiribati | 0 |
| Kuwait | 0 |
| Laos | 0 |
| Zimbabwe | 0 |