Coffee and products — Residuals by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Coffee and products — Residuals is currently reported for 181 countries. The highest value is 0 1000 t in Afghanistan; the lowest is -132 1000 t in Indonesia.
The median across all reporting countries is 0 1000 t, and the mean is -2.22 1000 t.
Over the past decade 11 countries rose and 7 fell. The largest increase was in Costa Rica (up 100.0%), and the largest decrease in India (down 5,700.0%).
Coffee and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 1 | Angola | 0 1000 t | 2023 | — | flat |
| 1 | Albania | 0 1000 t | 2023 | — | flat |
| 1 | Argentina | 0 1000 t | 2023 | — | flat |
| 1 | Armenia | 0 1000 t | 2023 | — | flat |
| 1 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 1 | Australia | 0 1000 t | 2023 | — | flat |
| 1 | Austria | 0 1000 t | 2023 | — | flat |
| 1 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 1 | Belgium | 0 1000 t | 2023 | — | flat |
| 1 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 1 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 1 | Bahrain | 0 1000 t | 2023 | — | flat |
| 1 | Bahamas | 0 1000 t | 2023 | — | flat |
| 1 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 1 | Belarus | 0 1000 t | 2023 | — | flat |
| 1 | Belize | 0 1000 t | 2023 | — | volatile |
| 1 | Brazil | 0 1000 t | 2023 | — | flat |
| 1 | Barbados | 0 1000 t | 2023 | — | flat |
| 1 | Bhutan | 0 1000 t | 2023 | — | flat |
| 1 | Botswana | 0 1000 t | 2023 | — | flat |
| 1 | Canada | 0 1000 t | 2023 | — | flat |
| 1 | Switzerland | 0 1000 t | 2023 | — | flat |
| 1 | Chile | 0 1000 t | 2023 | — | flat |
| 1 | China | 0 1000 t | 2023 | — | volatile |
| 1 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 1 | Congo | 0 1000 t | 2023 | — | volatile |
| 1 | Colombia | 0 1000 t | 2023 | — | volatile |
| 1 | Comoros | 0 1000 t | 2023 | — | flat |
| 1 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Cuba | 0 1000 t | 2019 | — | flat |
| 1 | Cyprus | 0 1000 t | 2023 | — | flat |
| 1 | Germany | 0 1000 t | 2023 | — | flat |
| 1 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 1 | Denmark | 0 1000 t | 2023 | — | flat |
| 1 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 1 | Algeria | 0 1000 t | 2023 | — | flat |
| 1 | Spain | 0 1000 t | 2023 | — | volatile |
| 1 | Estonia | 0 1000 t | 2023 | — | flat |
| 1 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 1 | Finland | 0 1000 t | 2023 | — | flat |
| 1 | Fiji | 0 1000 t | 2023 | — | flat |
| 1 | France | 0 1000 t | 2023 | — | flat |
| 1 | Gabon | 0 1000 t | 2023 | — | flat |
| 1 | Georgia | 0 1000 t | 2023 | — | flat |
| 1 | Guinea | 0 1000 t | 2023 | — | volatile |
| 1 | Gambia | 0 1000 t | 2023 | — | flat |
| 1 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 1 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Grenada | 0 1000 t | 2023 | — | flat |
| 1 | Guatemala | 0 1000 t | 2023 | — | flat |
| 1 | Guyana | 0 1000 t | 2023 | — | flat |
| 1 | Honduras | 0 1000 t | 2023 | — | flat |
| 1 | Croatia | 0 1000 t | 2023 | — | volatile |
| 1 | Haiti | 0 1000 t | 2023 | — | flat |
| 1 | Ireland | 0 1000 t | 2023 | — | flat |
| 1 | Iraq | 0 1000 t | 2023 | — | flat |
| 1 | Iceland | 0 1000 t | 2023 | — | flat |
| 1 | Israel | 0 1000 t | 2023 | — | flat |
| 1 | Italy | 0 1000 t | 2023 | — | flat |
| 1 | Jamaica | 0 1000 t | 2023 | — | flat |
| 1 | Jordan | 0 1000 t | 2023 | — | flat |
| 1 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 1 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 1 | Cambodia | 0 1000 t | 2023 | — | flat |
| 1 | Kiribati | 0 1000 t | 2023 | — | flat |
| 1 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 1 | Kuwait | 0 1000 t | 2023 | — | flat |
| 1 | Lebanon | 0 1000 t | 2023 | — | flat |
| 1 | Liberia | 0 1000 t | 2023 | — | flat |
| 1 | Libya | 0 1000 t | 2023 | — | flat |
| 1 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 1 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 1 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 1 | Lithuania | 0 1000 t | 2023 | — | flat |
| 1 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 1 | Latvia | 0 1000 t | 2023 | — | volatile |
| 1 | Morocco | 0 1000 t | 2023 | — | flat |
| 1 | Madagascar | 0 1000 t | 2023 | — | flat |
| 1 | Maldives | 0 1000 t | 2023 | — | flat |
| 1 | Mexico | 0 1000 t | 2023 | — | volatile |
| 1 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 1 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 1 | Malta | 0 1000 t | 2023 | — | flat |
| 1 | Myanmar | 0 1000 t | 2023 | — | flat |
| 1 | Montenegro | 0 1000 t | 2023 | — | flat |
| 1 | Mongolia | 0 1000 t | 2023 | — | flat |
| 1 | Mozambique | 0 1000 t | 2023 | — | flat |
| 1 | Mauritania | 0 1000 t | 2023 | — | flat |
| 1 | Mauritius | 0 1000 t | 2023 | — | flat |
| 1 | Malawi | 0 1000 t | 2023 | — | volatile |
| 1 | Namibia | 0 1000 t | 2023 | — | flat |
| 1 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 1 | Niger | 0 1000 t | 2023 | — | flat |
| 1 | Nigeria | 0 1000 t | 2023 | — | flat |
| 1 | Norway | 0 1000 t | 2023 | — | flat |
| 1 | Nepal | 0 1000 t | 2023 | — | flat |
| 1 | Nauru | 0 1000 t | 2023 | — | flat |
| 1 | New Zealand | 0 1000 t | 2023 | — | flat |
| 1 | Oman | 0 1000 t | 2023 | — | volatile |
| 1 | Pakistan | 0 1000 t | 2023 | — | flat |
| 1 | Panama | 0 1000 t | 2023 | — | volatile |
| 1 | Peru | 0 1000 t | 2023 | — | flat |
| 1 | Philippines | 0 1000 t | 2023 | — | flat |
| 1 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 1 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Portugal | 0 1000 t | 2023 | — | flat |
| 1 | Paraguay | 0 1000 t | 2023 | — | flat |
| 1 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 1 | Qatar | 0 1000 t | 2023 | — | flat |
| 1 | Romania | 0 1000 t | 2023 | — | flat |
| 1 | Rwanda | 0 1000 t | 2023 | — | flat |
| 1 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 1 | Senegal | 0 1000 t | 2023 | — | flat |
| 1 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 1 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | El Salvador | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Serbia | 0 1000 t | 2023 | — | flat |
| 1 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 1 | Suriname | 0 1000 t | 2023 | — | flat |
| 1 | Slovakia | 0 1000 t | 2023 | — | flat |
| 1 | Slovenia | 0 1000 t | 2023 | — | flat |
| 1 | Sweden | 0 1000 t | 2023 | — | flat |
| 1 | Eswatini | 0 1000 t | 2023 | — | flat |
| 1 | Seychelles | 0 1000 t | 2023 | — | flat |
| 1 | Thailand | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 1 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 1 | Tonga | 0 1000 t | 2023 | — | flat |
| 1 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 1 | Tunisia | 0 1000 t | 2023 | — | flat |
| 1 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 1 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 1 | Uruguay | 0 1000 t | 2023 | — | flat |
| 1 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 1 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 1 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 1 | Samoa | 0 1000 t | 2023 | — | flat |
| 1 | Yemen | 0 1000 t | 2023 | — | flat |
| 1 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 1 | Micronesia | 0 1000 t | 2023 | — | flat |
| 1 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 1 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 1 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 1 | Polynesia | 0 1000 t | 2023 | — | flat |
| 1 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 1 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 1 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 1 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 1 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 1 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 1 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 1 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 1 | Viet Nam | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Türkiye | 0 1000 t | 2023 | — | flat |
| 1 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 1 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 1 | Côte d'Ivoire | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 1 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 1 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 1 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 1 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 1 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 1 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 169 | Ghana | -1 1000 t | 2023 | up 80.0% | volatile |
| 169 | Nicaragua | -1 1000 t | 2023 | up 94.4% | volatile |
| 171 | Kenya | -2 1000 t | 2023 | up 81.8% | volatile |
| 171 | Zambia | -2 1000 t | 2023 | — | volatile |
| 173 | Burkina Faso | -3 1000 t | 2023 | — | volatile |
| 174 | Egypt | -4 1000 t | 2023 | — | volatile |
| 175 | Czechia | -13 1000 t | 2023 | — | volatile |
| 176 | Ecuador | -17 1000 t | 2023 | up 76.4% | volatile |
| 177 | United Republic of Tanzania | -23 1000 t | 2023 | — | volatile |
| 178 | Hungary | -32 1000 t | 2023 | down 39.1% | volatile |
| 179 | United Arab Emirates | -33 1000 t | 2023 | — | volatile |
| 180 | India | -58 1000 t | 2023 | down 5,700.0% | volatile |
| 181 | Malaysia | -80 1000 t | 2023 | down 77.8% | falling |
| 182 | Indonesia | -132 1000 t | 2023 | down 473.9% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- South Africa 0 1000 t
- Oceania 0 1000 t
- Northern America 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Central Asia 0 1000 t
- Western Europe 0 1000 t
- Caribbean 0 1000 t
- Southern Africa 0 1000 t
- Northern Europe 0 1000 t
- Southern Europe 0 1000 t
- Middle Africa 0 1000 t
- Eastern Asia 0 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.