Oilcrops Oil, Other — 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
Oilcrops Oil, Other — Residuals is currently reported for 164 countries. The highest value is 24 1000 t in Pakistan; the lowest is -86 1000 t in Italy.
The median across all reporting countries is 0 1000 t, and the mean is -3.57 1000 t.
Over the past decade 22 countries rose and 22 fell. The largest increase was in Nepal (up 300.0%), and the largest decrease in Brazil (down 3,100.0%).
Oilcrops Oil, Other — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Pakistan | 24 1000 t | 2023 | — | volatile |
| 2 | Belgium | 23 1000 t | 2023 | down 81.7% | volatile |
| 3 | Nepal | 4 1000 t | 2023 | up 300.0% | volatile |
| 4 | Indonesia | 3 1000 t | 2023 | up 200.0% | volatile |
| 5 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 5 | Angola | 0 1000 t | 2023 | — | volatile |
| 5 | Albania | 0 1000 t | 2023 | — | flat |
| 5 | Armenia | 0 1000 t | 2023 | — | flat |
| 5 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 5 | Australia | 0 1000 t | 2023 | — | flat |
| 5 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 5 | Bahrain | 0 1000 t | 2023 | — | flat |
| 5 | Bahamas | 0 1000 t | 2023 | — | flat |
| 5 | Belize | 0 1000 t | 2023 | — | volatile |
| 5 | Barbados | 0 1000 t | 2023 | — | volatile |
| 5 | Bhutan | 0 1000 t | 2023 | — | flat |
| 5 | Botswana | 0 1000 t | 2023 | — | flat |
| 5 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 5 | Congo | 0 1000 t | 2023 | — | flat |
| 5 | Colombia | 0 1000 t | 2023 | — | flat |
| 5 | Comoros | 0 1000 t | 2023 | — | flat |
| 5 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 5 | Cuba | 0 1000 t | 2019 | — | flat |
| 5 | Czechia | 0 1000 t | 2023 | — | volatile |
| 5 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 5 | Algeria | 0 1000 t | 2023 | — | flat |
| 5 | Spain | 0 1000 t | 2023 | — | volatile |
| 5 | Estonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 5 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Fiji | 0 1000 t | 2023 | — | flat |
| 5 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Georgia | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Guinea | 0 1000 t | 2023 | — | flat |
| 5 | Gambia | 0 1000 t | 2023 | — | flat |
| 5 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 5 | Greece | 0 1000 t | 2023 | — | volatile |
| 5 | Grenada | 0 1000 t | 2023 | — | flat |
| 5 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Guyana | 0 1000 t | 2023 | — | flat |
| 5 | Haiti | 0 1000 t | 2023 | — | flat |
| 5 | Hungary | 0 1000 t | 2023 | — | flat |
| 5 | India | 0 1000 t | 2023 | — | volatile |
| 5 | Iraq | 0 1000 t | 2023 | — | volatile |
| 5 | Iceland | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Jamaica | 0 1000 t | 2023 | — | flat |
| 5 | Jordan | 0 1000 t | 2023 | — | flat |
| 5 | Kenya | 0 1000 t | 2023 | — | volatile |
| 5 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 5 | Cambodia | 0 1000 t | 2023 | — | flat |
| 5 | Kiribati | 0 1000 t | 2023 | — | flat |
| 5 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 5 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 5 | Liberia | 0 1000 t | 2023 | — | flat |
| 5 | Libya | 0 1000 t | 2023 | — | flat |
| 5 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 5 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 5 | Lesotho | 0 1000 t | 2023 | — | flat |
| 5 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 5 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 5 | Latvia | 0 1000 t | 2023 | — | volatile |
| 5 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Madagascar | 0 1000 t | 2023 | — | flat |
| 5 | Maldives | 0 1000 t | 2023 | — | flat |
| 5 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 5 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 5 | Malta | 0 1000 t | 2023 | — | volatile |
| 5 | Myanmar | 0 1000 t | 2023 | — | flat |
| 5 | Mongolia | 0 1000 t | 2023 | — | flat |
| 5 | Mozambique | 0 1000 t | 2023 | — | flat |
| 5 | Mauritania | 0 1000 t | 2023 | — | flat |
| 5 | Malawi | 0 1000 t | 2023 | — | flat |
| 5 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Namibia | 0 1000 t | 2023 | — | flat |
| 5 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 5 | Niger | 0 1000 t | 2023 | — | flat |
| 5 | Nigeria | 0 1000 t | 2023 | — | flat |
| 5 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 5 | Norway | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Nauru | 0 1000 t | 2023 | — | flat |
| 5 | Panama | 0 1000 t | 2023 | — | volatile |
| 5 | Philippines | 0 1000 t | 2023 | — | volatile |
| 5 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 5 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 5 | Qatar | 0 1000 t | 2023 | — | flat |
| 5 | Romania | 0 1000 t | 2023 | — | volatile |
| 5 | Rwanda | 0 1000 t | 2023 | — | flat |
| 5 | Senegal | 0 1000 t | 2023 | — | volatile |
| 5 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 5 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 5 | Serbia | 0 1000 t | 2023 | — | flat |
| 5 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 5 | Suriname | 0 1000 t | 2023 | — | volatile |
| 5 | Slovak Republic | 0 1000 t | 2023 | — | volatile |
| 5 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 5 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Eswatini | 0 1000 t | 2023 | — | flat |
| 5 | Seychelles | 0 1000 t | 2023 | — | flat |
| 5 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 5 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 5 | Tonga | 0 1000 t | 2023 | — | flat |
| 5 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 5 | Uganda | 0 1000 t | 2023 | — | flat |
| 5 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 5 | Uruguay | 0 1000 t | 2023 | — | flat |
| 5 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 5 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 5 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 5 | Samoa | 0 1000 t | 2023 | — | flat |
| 5 | Yemen | 0 1000 t | 2023 | — | flat |
| 5 | Zambia | 0 1000 t | 2023 | — | flat |
| 5 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 5 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 5 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 5 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Bosnia and Herzegovina | -1 1000 t | 2023 | — | volatile |
| 127 | Honduras | -1 1000 t | 2023 | — | volatile |
| 127 | Kazakhstan | -1 1000 t | 2023 | — | volatile |
| 127 | Montenegro | -1 1000 t | 2023 | — | volatile |
| 127 | Poland | -1 1000 t | 2023 | — | volatile |
| 127 | Paraguay | -1 1000 t | 2023 | up 75.0% | volatile |
| 127 | China, Macao SAR | -1 1000 t | 2023 | — | volatile |
| 134 | Egypt | -2 1000 t | 2023 | — | volatile |
| 134 | Ireland | -2 1000 t | 2023 | — | volatile |
| 134 | Peru | -2 1000 t | 2023 | down 100.0% | volatile |
| 134 | China, mainland | -2 1000 t | 2023 | down 100.0% | volatile |
| 138 | Ecuador | -3 1000 t | 2023 | up 57.1% | rising |
| 138 | Mauritius | -3 1000 t | 2023 | — | volatile |
| 140 | Cyprus | -4 1000 t | 2023 | down 300.0% | volatile |
| 140 | Israel | -4 1000 t | 2023 | — | volatile |
| 142 | China, Hong Kong SAR | -5 1000 t | 2023 | — | volatile |
| 142 | United Kingdom of Great Britain and Northern Ireland | -5 1000 t | 2023 | up 58.3% | volatile |
| 144 | Belarus | -8 1000 t | 2023 | down 166.7% | volatile |
| 144 | China | -8 1000 t | 2023 | down 700.0% | volatile |
| 144 | New Zealand | -8 1000 t | 2023 | — | volatile |
| 144 | Australia and New Zealand | -8 1000 t | 2023 | — | volatile |
| 148 | Gabon | -9 1000 t | 2023 | — | volatile |
| 149 | Portugal | -10 1000 t | 2023 | — | volatile |
| 150 | United Arab Emirates | -12 1000 t | 2023 | up 81.0% | volatile |
| 151 | Bulgaria | -13 1000 t | 2023 | — | volatile |
| 152 | Burkina Faso | -15 1000 t | 2023 | down 200.0% | volatile |
| 153 | Oman | -19 1000 t | 2023 | down 5.6% | falling |
| 154 | Croatia | -23 1000 t | 2023 | — | volatile |
| 155 | Mexico | -26 1000 t | 2023 | down 262.5% | volatile |
| 155 | South Africa | -26 1000 t | 2023 | — | volatile |
| 157 | Saudi Arabia | -28 1000 t | 2023 | down 833.3% | volatile |
| 158 | Brazil | -32 1000 t | 2023 | down 3,100.0% | volatile |
| 159 | Thailand | -39 1000 t | 2023 | down 1,200.0% | volatile |
| 160 | Denmark | -44 1000 t | 2023 | down 100.0% | falling |
| 161 | Ghana | -46 1000 t | 2023 | down 206.7% | volatile |
| 162 | Bangladesh | -59 1000 t | 2023 | — | volatile |
| 163 | Argentina | -81 1000 t | 2023 | up 42.1% | rising |
| 164 | Italy | -86 1000 t | 2023 | down 552.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Western Europe 23 1000 t
- Caribbean 0 1000 t
- Côte d'Ivoire 0 1000 t
- Land Locked Developing Countries (LLDCs) -14 1000 t
- Low Income Food Deficit Countries (LIFDCs) -36 1000 t
- Northern America -39 1000 t
- United States of America -39 1000 t
- Northern Europe -51 1000 t
- Net Food Importing Developing Countries (NFIDCs) -58 1000 t
- Americas -155 1000 t
- European Union (27) -162 1000 t
- World -615 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.