Alcohol, Non-Food — 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
Alcohol, Non-Food — Residuals is currently reported for 161 countries. The highest value is 1 1000 t in Senegal; the lowest is -155 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 0 1000 t, and the mean is -0.9565 1000 t.
Alcohol, Non-Food — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Senegal | 1 1000 t | 2023 | — | volatile |
| 2 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 2 | Angola | 0 1000 t | 2023 | — | flat |
| 2 | Albania | 0 1000 t | 2023 | — | flat |
| 2 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 2 | Argentina | 0 1000 t | 2023 | — | flat |
| 2 | Armenia | 0 1000 t | 2023 | — | flat |
| 2 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 2 | Australia | 0 1000 t | 2023 | — | flat |
| 2 | Austria | 0 1000 t | 2023 | — | flat |
| 2 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 2 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 2 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 2 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 2 | Bahrain | 0 1000 t | 2023 | — | flat |
| 2 | Bahamas | 0 1000 t | 2023 | — | flat |
| 2 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 2 | Belarus | 0 1000 t | 2023 | — | flat |
| 2 | Belize | 0 1000 t | 2023 | — | flat |
| 2 | Brazil | 0 1000 t | 2023 | — | flat |
| 2 | Barbados | 0 1000 t | 2023 | — | volatile |
| 2 | Bhutan | 0 1000 t | 2023 | — | flat |
| 2 | Botswana | 0 1000 t | 2023 | — | flat |
| 2 | Canada | 0 1000 t | 2023 | — | flat |
| 2 | Switzerland | 0 1000 t | 2023 | — | flat |
| 2 | Chile | 0 1000 t | 2023 | — | flat |
| 2 | China (People’s Republic of) | 0 1000 t | 2023 | — | volatile |
| 2 | Cameroon | 0 1000 t | 2023 | — | flat |
| 2 | Congo | 0 1000 t | 2023 | — | flat |
| 2 | Colombia | 0 1000 t | 2023 | — | flat |
| 2 | Comoros | 0 1000 t | 2023 | — | flat |
| 2 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 2 | Cuba | 0 1000 t | 2019 | — | flat |
| 2 | Cyprus | 0 1000 t | 2023 | — | flat |
| 2 | Czechia | 0 1000 t | 2023 | — | flat |
| 2 | Germany | 0 1000 t | 2023 | — | flat |
| 2 | Djibouti | 0 1000 t | 2023 | — | flat |
| 2 | Denmark | 0 1000 t | 2023 | — | flat |
| 2 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 2 | Algeria | 0 1000 t | 2023 | — | flat |
| 2 | Ecuador | 0 1000 t | 2023 | — | flat |
| 2 | Egypt | 0 1000 t | 2023 | — | flat |
| 2 | Spain | 0 1000 t | 2023 | — | flat |
| 2 | Estonia | 0 1000 t | 2023 | — | flat |
| 2 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 2 | Finland | 0 1000 t | 2023 | — | flat |
| 2 | Fiji | 0 1000 t | 2023 | — | flat |
| 2 | France | 0 1000 t | 2023 | — | volatile |
| 2 | Gabon | 0 1000 t | 2023 | — | flat |
| 2 | Georgia | 0 1000 t | 2023 | — | flat |
| 2 | Ghana | 0 1000 t | 2023 | — | flat |
| 2 | Guinea | 0 1000 t | 2023 | — | flat |
| 2 | Gambia | 0 1000 t | 2023 | — | flat |
| 2 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 2 | Greece | 0 1000 t | 2023 | — | flat |
| 2 | Grenada | 0 1000 t | 2023 | — | flat |
| 2 | Guatemala | 0 1000 t | 2023 | — | flat |
| 2 | Guyana | 0 1000 t | 2023 | — | flat |
| 2 | Honduras | 0 1000 t | 2023 | — | flat |
| 2 | Croatia | 0 1000 t | 2023 | — | flat |
| 2 | Haiti | 0 1000 t | 2023 | — | flat |
| 2 | Hungary | 0 1000 t | 2023 | — | volatile |
| 2 | Indonesia | 0 1000 t | 2023 | — | flat |
| 2 | India | 0 1000 t | 2023 | — | flat |
| 2 | Ireland | 0 1000 t | 2023 | — | flat |
| 2 | Iraq | 0 1000 t | 2023 | — | flat |
| 2 | Iceland | 0 1000 t | 2023 | — | flat |
| 2 | Israel | 0 1000 t | 2023 | — | flat |
| 2 | Italy | 0 1000 t | 2023 | — | flat |
| 2 | Jamaica | 0 1000 t | 2023 | — | flat |
| 2 | Jordan | 0 1000 t | 2023 | — | flat |
| 2 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 2 | Kenya | 0 1000 t | 2023 | — | flat |
| 2 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 2 | Cambodia | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Kiribati | 0 1000 t | 2023 | — | flat |
| 2 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 2 | Kuwait | 0 1000 t | 2023 | — | flat |
| 2 | Lebanon | 0 1000 t | 2023 | — | flat |
| 2 | Liberia | 0 1000 t | 2023 | — | flat |
| 2 | Libya | 0 1000 t | 2023 | — | flat |
| 2 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 2 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 2 | Lesotho | 0 1000 t | 2023 | — | flat |
| 2 | Lithuania | 0 1000 t | 2023 | — | flat |
| 2 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 2 | Latvia | 0 1000 t | 2023 | — | flat |
| 2 | Morocco | 0 1000 t | 2023 | — | flat |
| 2 | Madagascar | 0 1000 t | 2023 | — | flat |
| 2 | Maldives | 0 1000 t | 2023 | — | flat |
| 2 | Mexico | 0 1000 t | 2023 | — | flat |
| 2 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 2 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 2 | Malta | 0 1000 t | 2023 | — | flat |
| 2 | Myanmar | 0 1000 t | 2023 | — | flat |
| 2 | Montenegro | 0 1000 t | 2023 | — | flat |
| 2 | Mongolia | 0 1000 t | 2023 | — | flat |
| 2 | Mozambique | 0 1000 t | 2023 | — | flat |
| 2 | Mauritania | 0 1000 t | 2023 | — | flat |
| 2 | Mauritius | 0 1000 t | 2023 | — | flat |
| 2 | Malawi | 0 1000 t | 2023 | — | volatile |
| 2 | Malaysia | 0 1000 t | 2023 | — | flat |
| 2 | Namibia | 0 1000 t | 2023 | — | flat |
| 2 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 2 | Niger | 0 1000 t | 2023 | — | flat |
| 2 | Nigeria | 0 1000 t | 2023 | — | flat |
| 2 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 2 | Norway | 0 1000 t | 2023 | — | flat |
| 2 | Nepal | 0 1000 t | 2023 | — | flat |
| 2 | New Zealand | 0 1000 t | 2023 | — | flat |
| 2 | Oman | 0 1000 t | 2023 | — | flat |
| 2 | Pakistan | 0 1000 t | 2023 | — | flat |
| 2 | Panama | 0 1000 t | 2023 | — | flat |
| 2 | Peru | 0 1000 t | 2023 | — | flat |
| 2 | Philippines | 0 1000 t | 2023 | — | flat |
| 2 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 2 | Poland | 0 1000 t | 2023 | — | flat |
| 2 | Portugal | 0 1000 t | 2023 | — | flat |
| 2 | Paraguay | 0 1000 t | 2023 | — | flat |
| 2 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 2 | Qatar | 0 1000 t | 2023 | — | flat |
| 2 | Romania | 0 1000 t | 2023 | — | flat |
| 2 | Rwanda | 0 1000 t | 2023 | — | flat |
| 2 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 2 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 2 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 2 | El Salvador | 0 1000 t | 2023 | — | flat |
| 2 | Serbia | 0 1000 t | 2023 | — | flat |
| 2 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 2 | Suriname | 0 1000 t | 2023 | — | flat |
| 2 | Slovak Republic | 0 1000 t | 2023 | — | flat |
| 2 | Slovenia | 0 1000 t | 2023 | — | flat |
| 2 | Sweden | 0 1000 t | 2023 | — | flat |
| 2 | Eswatini | 0 1000 t | 2023 | — | flat |
| 2 | Seychelles | 0 1000 t | 2023 | — | flat |
| 2 | Thailand | 0 1000 t | 2023 | — | flat |
| 2 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 2 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 2 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 2 | Tunisia | 0 1000 t | 2023 | — | flat |
| 2 | Uganda | 0 1000 t | 2023 | — | flat |
| 2 | Ukraine | 0 1000 t | 2023 | — | flat |
| 2 | Uruguay | 0 1000 t | 2023 | — | flat |
| 2 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 2 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 2 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 2 | Samoa | 0 1000 t | 2023 | — | flat |
| 2 | Yemen | 0 1000 t | 2023 | — | flat |
| 2 | South Africa | 0 1000 t | 2023 | — | flat |
| 2 | Zambia | 0 1000 t | 2023 | — | flat |
| 2 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 2 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 2 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 2 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 2 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 2 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 2 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 2 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 2 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 161 | Netherlands (Kingdom of the) | -155 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Low Income Food Deficit Countries (LIFDCs) 1 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1 1000 t
- Americas 0 1000 t
- Northern America 0 1000 t
- Northern Europe 0 1000 t
- United States of America 0 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- World -154 1000 t
- European Union (27) -155 1000 t
- Western Europe -155 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.