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 108 countries. The highest value is 30 1000 t in Venezuela (Bolivarian Republic of); the lowest is -86 1000 t in Italy.
The median across all reporting countries is 0 1000 t, and the mean is -5.71 1000 t.
Over the past decade 25 countries rose and 24 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 | Venezuela (Bolivarian Republic of) | 30 1000 t | 2023 | — | volatile |
| 2 | Pakistan | 24 1000 t | 2023 | — | volatile |
| 3 | Belgium | 23 1000 t | 2023 | down 81.7% | volatile |
| 4 | Nepal | 4 1000 t | 2023 | up 300.0% | volatile |
| 5 | Indonesia | 3 1000 t | 2023 | up 200.0% | volatile |
| 6 | Angola | 0 1000 t | 2023 | — | volatile |
| 6 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Belize | 0 1000 t | 2023 | — | volatile |
| 6 | Barbados | 0 1000 t | 2023 | — | volatile |
| 6 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 6 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 6 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 6 | Czechia | 0 1000 t | 2023 | — | volatile |
| 6 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 6 | Spain | 0 1000 t | 2023 | — | volatile |
| 6 | Estonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Georgia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Greece | 0 1000 t | 2023 | — | volatile |
| 6 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | India | 0 1000 t | 2023 | — | volatile |
| 6 | Iraq | 0 1000 t | 2023 | — | volatile |
| 6 | Iceland | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Kenya | 0 1000 t | 2023 | — | volatile |
| 6 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 6 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 6 | Latvia | 0 1000 t | 2023 | — | volatile |
| 6 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Malta | 0 1000 t | 2023 | — | volatile |
| 6 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 6 | Norway | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Panama | 0 1000 t | 2023 | — | volatile |
| 6 | Philippines | 0 1000 t | 2023 | — | volatile |
| 6 | Romania | 0 1000 t | 2023 | — | volatile |
| 6 | Russia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Senegal | 0 1000 t | 2023 | — | volatile |
| 6 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 6 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 6 | Suriname | 0 1000 t | 2023 | — | volatile |
| 6 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 6 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 6 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Syria | 0 1000 t | 2023 | — | volatile |
| 6 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 6 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Turkey | 0 1000 t | 2023 | — | volatile |
| 6 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 6 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 6 | Melanesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 6 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 6 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 6 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 6 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 153 | Bosnia and Herzegovina | -1 1000 t | 2023 | — | volatile |
| 153 | Honduras | -1 1000 t | 2023 | — | volatile |
| 153 | Kazakhstan | -1 1000 t | 2023 | — | volatile |
| 153 | Montenegro | -1 1000 t | 2023 | — | volatile |
| 153 | Poland | -1 1000 t | 2023 | — | volatile |
| 153 | Paraguay | -1 1000 t | 2023 | up 75.0% | volatile |
| 153 | China, Macao SAR | -1 1000 t | 2023 | — | volatile |
| 160 | Egypt | -2 1000 t | 2023 | — | volatile |
| 160 | Ireland | -2 1000 t | 2023 | — | volatile |
| 160 | Peru | -2 1000 t | 2023 | down 100.0% | volatile |
| 160 | China, mainland | -2 1000 t | 2023 | down 100.0% | volatile |
| 164 | Ecuador | -3 1000 t | 2023 | up 57.1% | rising |
| 164 | Mauritius | -3 1000 t | 2023 | — | volatile |
| 166 | Cyprus | -4 1000 t | 2023 | down 300.0% | volatile |
| 166 | Israel | -4 1000 t | 2023 | — | volatile |
| 168 | United Kingdom | -5 1000 t | 2023 | up 58.3% | volatile |
| 168 | China, Hong Kong SAR | -5 1000 t | 2023 | — | volatile |
| 168 | United Kingdom of Great Britain and Northern Ireland | -5 1000 t | 2023 | up 58.3% | volatile |
| 171 | Belarus | -8 1000 t | 2023 | down 166.7% | volatile |
| 171 | China | -8 1000 t | 2023 | down 700.0% | volatile |
| 171 | New Zealand | -8 1000 t | 2023 | — | volatile |
| 171 | Australia and New Zealand | -8 1000 t | 2023 | — | volatile |
| 175 | Gabon | -9 1000 t | 2023 | — | volatile |
| 175 | Vietnam | -9 1000 t | 2023 | — | volatile |
| 175 | Viet Nam | -9 1000 t | 2023 | — | volatile |
| 178 | Portugal | -10 1000 t | 2023 | — | volatile |
| 179 | United Arab Emirates | -12 1000 t | 2023 | up 81.0% | volatile |
| 180 | Bulgaria | -13 1000 t | 2023 | — | volatile |
| 181 | Burkina Faso | -15 1000 t | 2023 | down 200.0% | volatile |
| 182 | Oman | -19 1000 t | 2023 | down 5.6% | falling |
| 183 | Croatia | -23 1000 t | 2023 | — | volatile |
| 184 | Mexico | -26 1000 t | 2023 | down 262.5% | volatile |
| 184 | South Africa | -26 1000 t | 2023 | — | volatile |
| 186 | Saudi Arabia | -28 1000 t | 2023 | down 833.3% | volatile |
| 187 | Brazil | -32 1000 t | 2023 | down 3,100.0% | volatile |
| 188 | Thailand | -39 1000 t | 2023 | down 1,200.0% | volatile |
| 188 | United States | -39 1000 t | 2023 | down 130.0% | volatile |
| 190 | Denmark | -44 1000 t | 2023 | down 100.0% | falling |
| 191 | Ghana | -46 1000 t | 2023 | down 206.7% | volatile |
| 192 | Bangladesh | -59 1000 t | 2023 | — | volatile |
| 193 | Argentina | -81 1000 t | 2023 | up 42.1% | rising |
| 194 | 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
- Central Asia -1 1000 t
- Northern Africa -2 1000 t
- Small island developing States (SIDS) -3 1000 t
- Eastern Africa -4 1000 t
- Oceania -8 1000 t
- Middle Africa -9 1000 t
- Eastern Asia -9 1000 t
- Land Locked Developing Countries (LLDCs) -14 1000 t
- Eastern Europe -22 1000 t
- Southern Africa -26 1000 t
- Central America -27 1000 t
- Southern Asia -32 1000 t
- Low Income Food Deficit Countries (LIFDCs) -36 1000 t
- Northern America -39 1000 t
- United States of America -39 1000 t
- South-Eastern Asia -45 1000 t
- Northern Europe -51 1000 t
- Net Food Importing Developing Countries (NFIDCs) -58 1000 t
- Western Asia -67 1000 t
- Western Africa -84 1000 t
- South America -89 1000 t
- Least Developed Countries (LDCs) -95 1000 t
- Southern Europe -122 1000 t
- Africa -125 1000 t
- Asia -153 1000 t
- Americas -155 1000 t
- European Union (27) -162 1000 t
- Europe -173 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.