Vegetable Oils — 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
Vegetable Oils — Residuals is currently reported for 142 countries. The highest value is 187 1000 t in Djibouti; the lowest is -86 1000 t in Italy.
The median across all reporting countries is 0 1000 t, and the mean is -4.73 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 24 countries rose and 35 fell. The largest increase was in Belgium (up 500.0%), and the largest decrease in Brazil (down 3,100.0%).
Vegetable Oils — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Djibouti | 187 1000 t | 2023 | down 24.0% | rising |
| 2 | Venezuela (Bolivarian Republic of) | 30 1000 t | 2023 | — | volatile |
| 3 | Pakistan | 24 1000 t | 2023 | up 340.0% | volatile |
| 4 | Belgium | 20 1000 t | 2023 | up 500.0% | volatile |
| 5 | Nepal | 4 1000 t | 2023 | up 300.0% | volatile |
| 6 | Indonesia | 3 1000 t | 2023 | up 200.0% | volatile |
| 7 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 8 | Angola | 0 1000 t | 2023 | — | volatile |
| 8 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 8 | Belize | 0 1000 t | 2023 | — | volatile |
| 8 | Barbados | 0 1000 t | 2023 | — | volatile |
| 8 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 8 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 8 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 8 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 8 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Georgia | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Gambia | 0 1000 t | 2023 | — | volatile |
| 8 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Iraq | 0 1000 t | 2023 | — | volatile |
| 8 | Iceland | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 8 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 8 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 8 | Liberia | 0 1000 t | 2023 | — | volatile |
| 8 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 8 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 8 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 8 | Malta | 0 1000 t | 2023 | — | flat |
| 8 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 8 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 8 | Malawi | 0 1000 t | 2023 | — | volatile |
| 8 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Niger | 0 1000 t | 2023 | — | volatile |
| 8 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 8 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 8 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Philippines | 0 1000 t | 2023 | — | volatile |
| 8 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 8 | Romania | 0 1000 t | 2023 | — | volatile |
| 8 | Senegal | 0 1000 t | 2023 | — | volatile |
| 8 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 8 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 8 | Suriname | 0 1000 t | 2023 | — | volatile |
| 8 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 8 | Syria | 0 1000 t | 2023 | — | volatile |
| 8 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 8 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 8 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Turkey | 0 1000 t | 2023 | — | volatile |
| 8 | Uganda | 0 1000 t | 2023 | — | volatile |
| 8 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 8 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 8 | Zambia | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 8 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 8 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 8 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 8 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 8 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 8 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 8 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 8 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 8 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 8 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 133 | Czechia | -1 1000 t | 2023 | — | volatile |
| 133 | Fiji | -1 1000 t | 2023 | — | volatile |
| 133 | Honduras | -1 1000 t | 2023 | — | volatile |
| 133 | Kazakhstan | -1 1000 t | 2023 | — | volatile |
| 133 | Kenya | -1 1000 t | 2023 | — | volatile |
| 133 | Montenegro | -1 1000 t | 2023 | — | volatile |
| 133 | Russia | -1 1000 t | 2023 | up 93.8% | volatile |
| 133 | Slovenia | -1 1000 t | 2023 | — | volatile |
| 133 | Tunisia | -1 1000 t | 2023 | up 95.0% | volatile |
| 133 | Uruguay | -1 1000 t | 2023 | — | volatile |
| 133 | Russian Federation | -1 1000 t | 2023 | up 93.8% | volatile |
| 133 | China, Macao SAR | -1 1000 t | 2023 | — | volatile |
| 145 | Bosnia and Herzegovina | -2 1000 t | 2023 | — | volatile |
| 145 | Egypt | -2 1000 t | 2023 | — | volatile |
| 145 | Estonia | -2 1000 t | 2023 | up 77.8% | volatile |
| 145 | Ireland | -2 1000 t | 2023 | down 200.0% | volatile |
| 145 | Republic of Korea | -2 1000 t | 2023 | — | volatile |
| 145 | China, mainland | -2 1000 t | 2023 | down 100.0% | volatile |
| 145 | Netherlands (Kingdom of the) | -2 1000 t | 2023 | down 102.2% | volatile |
| 152 | Ecuador | -3 1000 t | 2023 | up 57.1% | rising |
| 152 | Mauritius | -3 1000 t | 2023 | — | volatile |
| 152 | Melanesia | -3 1000 t | 2023 | unchanged | volatile |
| 155 | Cyprus | -4 1000 t | 2023 | down 300.0% | volatile |
| 155 | Israel | -4 1000 t | 2023 | — | volatile |
| 155 | Latvia | -4 1000 t | 2023 | — | flat |
| 155 | Solomon Islands | -4 1000 t | 2023 | down 33.3% | volatile |
| 159 | Peru | -5 1000 t | 2023 | down 400.0% | volatile |
| 159 | Poland | -5 1000 t | 2023 | down 171.4% | volatile |
| 161 | Moldova | -6 1000 t | 2023 | — | volatile |
| 161 | Republic of Moldova | -6 1000 t | 2023 | — | volatile |
| 163 | Belarus | -8 1000 t | 2023 | down 166.7% | volatile |
| 163 | India | -8 1000 t | 2023 | — | volatile |
| 163 | New Zealand | -8 1000 t | 2023 | — | volatile |
| 163 | China, Hong Kong SAR | -8 1000 t | 2023 | — | volatile |
| 163 | Australia and New Zealand | -8 1000 t | 2023 | — | volatile |
| 168 | Gabon | -9 1000 t | 2023 | — | volatile |
| 168 | United Kingdom | -9 1000 t | 2023 | down 800.0% | volatile |
| 168 | Vietnam | -9 1000 t | 2023 | — | volatile |
| 168 | Viet Nam | -9 1000 t | 2023 | — | volatile |
| 168 | United Kingdom of Great Britain and Northern Ireland | -9 1000 t | 2023 | down 800.0% | volatile |
| 173 | Portugal | -10 1000 t | 2023 | — | volatile |
| 174 | China | -11 1000 t | 2023 | down 1,000.0% | volatile |
| 175 | Bulgaria | -13 1000 t | 2023 | — | volatile |
| 176 | Burkina Faso | -15 1000 t | 2023 | down 200.0% | volatile |
| 177 | Serbia | -18 1000 t | 2023 | — | volatile |
| 178 | Oman | -19 1000 t | 2023 | down 5.6% | falling |
| 179 | Croatia | -23 1000 t | 2023 | down 1,250.0% | volatile |
| 180 | Colombia | -26 1000 t | 2023 | down 196.3% | volatile |
| 180 | Mexico | -26 1000 t | 2023 | down 252.9% | volatile |
| 182 | South Africa | -27 1000 t | 2023 | — | volatile |
| 183 | Paraguay | -28 1000 t | 2023 | down 600.0% | volatile |
| 183 | Saudi Arabia | -28 1000 t | 2023 | down 833.3% | volatile |
| 185 | Brazil | -32 1000 t | 2023 | down 3,100.0% | volatile |
| 186 | United States | -39 1000 t | 2023 | up 86.7% | volatile |
| 187 | Slovakia | -41 1000 t | 2023 | — | volatile |
| 188 | Denmark | -44 1000 t | 2023 | down 100.0% | falling |
| 189 | United Arab Emirates | -46 1000 t | 2023 | up 41.0% | volatile |
| 189 | Ghana | -46 1000 t | 2023 | down 119.0% | volatile |
| 191 | Bangladesh | -59 1000 t | 2023 | — | volatile |
| 192 | Thailand | -63 1000 t | 2023 | down 43.2% | falling |
| 193 | Argentina | -83 1000 t | 2023 | up 40.7% | rising |
| 194 | Italy | -86 1000 t | 2023 | down 960.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Africa 182 1000 t
- Net Food Importing Developing Countries (NFIDCs) 116 1000 t
- Least Developed Countries (LDCs) 84 1000 t
- Africa 55 1000 t
- Western Europe 18 1000 t
- Middle Africa 8 1000 t
- Central Asia -1 1000 t
- Northern Africa -3 1000 t
- Small island developing States (SIDS) -6 1000 t
- Oceania -11 1000 t
- Eastern Asia -15 1000 t
- Southern Africa -27 1000 t
- Central America -27 1000 t
- Land Locked Developing Countries (LLDCs) -31 1000 t
- Northern America -39 1000 t
- United States of America -39 1000 t
- Southern Asia -40 1000 t
- Low Income Food Deficit Countries (LIFDCs) -41 1000 t
- Northern Europe -60 1000 t
- South-Eastern Asia -69 1000 t
- Eastern Europe -76 1000 t
- Western Asia -101 1000 t
- Western Africa -105 1000 t
- Southern Europe -141 1000 t
- South America -148 1000 t
- Americas -214 1000 t
- European Union (27) -220 1000 t
- Asia -226 1000 t
- Europe -259 1000 t
- World -655 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.