Groundnut Oil — Stock Variation 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
Groundnut Oil — Stock Variation is currently reported for 175 countries. The highest value is 9 1000 t in Brazil; the lowest is -13 1000 t in United Arab Emirates.
The median across all reporting countries is 0 1000 t, and the mean is -0.0057 1000 t.
Over the past decade 11 countries rose and 22 fell. The largest increase was in Ghana (up 260.0%), and the largest decrease in China (down 114.3%).
Groundnut Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 9 1000 t | 2023 | — | volatile |
| 2 | Ghana | 8 1000 t | 2023 | up 260.0% | volatile |
| 3 | Guinea | 3 1000 t | 2023 | up 115.0% | volatile |
| 4 | Myanmar | 2 1000 t | 2023 | — | volatile |
| 5 | Canada | 1 1000 t | 2023 | — | volatile |
| 5 | Greece | 1 1000 t | 2023 | — | volatile |
| 5 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 5 | Nepal | 1 1000 t | 2023 | — | volatile |
| 5 | Pakistan | 1 1000 t | 2023 | down 66.7% | volatile |
| 5 | Portugal | 1 1000 t | 2023 | — | volatile |
| 5 | Sierra Leone | 1 1000 t | 2023 | down 50.0% | volatile |
| 5 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | down 93.3% | volatile |
| 13 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 13 | Angola | 0 1000 t | 2023 | — | volatile |
| 13 | Albania | 0 1000 t | 2023 | — | flat |
| 13 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Armenia | 0 1000 t | 2023 | — | flat |
| 13 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 13 | Australia | 0 1000 t | 2023 | — | flat |
| 13 | Austria | 0 1000 t | 2023 | — | flat |
| 13 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 13 | Belgium | 0 1000 t | 2023 | — | volatile |
| 13 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 13 | Bangladesh | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 13 | Bahrain | 0 1000 t | 2023 | — | flat |
| 13 | Bahamas | 0 1000 t | 2023 | — | flat |
| 13 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 13 | Belarus | 0 1000 t | 2023 | — | flat |
| 13 | Belize | 0 1000 t | 2023 | — | flat |
| 13 | Barbados | 0 1000 t | 2023 | — | flat |
| 13 | Bhutan | 0 1000 t | 2023 | — | flat |
| 13 | Botswana | 0 1000 t | 2023 | — | flat |
| 13 | Switzerland | 0 1000 t | 2023 | — | flat |
| 13 | Chile | 0 1000 t | 2023 | — | flat |
| 13 | Cameroon | 0 1000 t | 2023 | — | flat |
| 13 | Congo | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Colombia | 0 1000 t | 2023 | — | flat |
| 13 | Comoros | 0 1000 t | 2023 | — | flat |
| 13 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 13 | Cuba | 0 1000 t | 2019 | — | flat |
| 13 | Cyprus | 0 1000 t | 2023 | — | flat |
| 13 | Czechia | 0 1000 t | 2023 | — | flat |
| 13 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Djibouti | 0 1000 t | 2023 | — | flat |
| 13 | Denmark | 0 1000 t | 2023 | — | flat |
| 13 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 13 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Ecuador | 0 1000 t | 2023 | — | flat |
| 13 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Spain | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Estonia | 0 1000 t | 2023 | — | flat |
| 13 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 13 | Finland | 0 1000 t | 2023 | — | flat |
| 13 | Fiji | 0 1000 t | 2023 | — | flat |
| 13 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Gabon | 0 1000 t | 2023 | — | flat |
| 13 | Georgia | 0 1000 t | 2023 | — | flat |
| 13 | Gambia | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Grenada | 0 1000 t | 2023 | — | flat |
| 13 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 13 | Guyana | 0 1000 t | 2023 | — | flat |
| 13 | Honduras | 0 1000 t | 2023 | — | flat |
| 13 | Croatia | 0 1000 t | 2023 | — | flat |
| 13 | Haiti | 0 1000 t | 2023 | — | flat |
| 13 | Hungary | 0 1000 t | 2023 | — | flat |
| 13 | Indonesia | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Ireland | 0 1000 t | 2023 | — | flat |
| 13 | Iraq | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Iceland | 0 1000 t | 2023 | — | flat |
| 13 | Israel | 0 1000 t | 2023 | — | flat |
| 13 | Italy | 0 1000 t | 2023 | — | volatile |
| 13 | Jamaica | 0 1000 t | 2023 | — | flat |
| 13 | Jordan | 0 1000 t | 2023 | — | flat |
| 13 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 13 | Kenya | 0 1000 t | 2023 | — | flat |
| 13 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 13 | Cambodia | 0 1000 t | 2023 | — | flat |
| 13 | Kiribati | 0 1000 t | 2023 | — | flat |
| 13 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 13 | Kuwait | 0 1000 t | 2023 | — | flat |
| 13 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 13 | Liberia | 0 1000 t | 2023 | — | flat |
| 13 | Libya | 0 1000 t | 2023 | — | flat |
| 13 | Saint Lucia | 0 1000 t | 2021 | — | flat |
| 13 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 13 | Lithuania | 0 1000 t | 2023 | — | flat |
| 13 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 13 | Latvia | 0 1000 t | 2023 | — | flat |
| 13 | Morocco | 0 1000 t | 2023 | — | volatile |
| 13 | Madagascar | 0 1000 t | 2023 | — | flat |
| 13 | Maldives | 0 1000 t | 2023 | — | flat |
| 13 | Mexico | 0 1000 t | 2023 | — | volatile |
| 13 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 13 | North Macedonia | 0 1000 t | 2020 | — | flat |
| 13 | Malta | 0 1000 t | 2023 | — | flat |
| 13 | Montenegro | 0 1000 t | 2023 | — | flat |
| 13 | Mongolia | 0 1000 t | 2023 | — | flat |
| 13 | Mozambique | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Mauritania | 0 1000 t | 2023 | — | flat |
| 13 | Mauritius | 0 1000 t | 2023 | — | flat |
| 13 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Malaysia | 0 1000 t | 2023 | — | flat |
| 13 | Namibia | 0 1000 t | 2023 | — | flat |
| 13 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 13 | Niger | 0 1000 t | 2023 | up 100.0% | flat |
| 13 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 13 | Norway | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | New Zealand | 0 1000 t | 2023 | — | flat |
| 13 | Oman | 0 1000 t | 2023 | — | flat |
| 13 | Panama | 0 1000 t | 2023 | — | flat |
| 13 | Peru | 0 1000 t | 2023 | — | flat |
| 13 | Philippines | 0 1000 t | 2023 | — | flat |
| 13 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 13 | Poland | 0 1000 t | 2023 | — | volatile |
| 13 | Paraguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 13 | Qatar | 0 1000 t | 2023 | — | flat |
| 13 | Romania | 0 1000 t | 2023 | — | flat |
| 13 | Rwanda | 0 1000 t | 2023 | — | flat |
| 13 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 13 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 13 | El Salvador | 0 1000 t | 2023 | — | flat |
| 13 | Serbia | 0 1000 t | 2023 | — | flat |
| 13 | Sao Tome and Principe | 0 1000 t | 2020 | — | flat |
| 13 | Suriname | 0 1000 t | 2019 | — | flat |
| 13 | Slovakia | 0 1000 t | 2023 | — | flat |
| 13 | Slovenia | 0 1000 t | 2023 | — | flat |
| 13 | Sweden | 0 1000 t | 2023 | — | flat |
| 13 | Eswatini | 0 1000 t | 2021 | — | flat |
| 13 | Seychelles | 0 1000 t | 2023 | — | flat |
| 13 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Tonga | 0 1000 t | 2023 | — | flat |
| 13 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 13 | Tunisia | 0 1000 t | 2023 | — | flat |
| 13 | Uganda | 0 1000 t | 2023 | — | flat |
| 13 | Ukraine | 0 1000 t | 2023 | — | flat |
| 13 | Uruguay | 0 1000 t | 2023 | — | flat |
| 13 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 13 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 13 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 13 | Samoa | 0 1000 t | 2023 | — | flat |
| 13 | Yemen | 0 1000 t | 2023 | — | flat |
| 13 | Zambia | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Micronesia | 0 1000 t | 2023 | — | flat |
| 13 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 13 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 13 | Melanesia | 0 1000 t | 2023 | — | flat |
| 13 | Polynesia | 0 1000 t | 2023 | — | flat |
| 13 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Caribbean | 0 1000 t | 2023 | — | flat |
| 13 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 13 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | flat |
| 13 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 13 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 13 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 13 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 13 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 13 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 13 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 13 | Türkiye | 0 1000 t | 2023 | — | flat |
| 13 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 13 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 13 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 13 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 13 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 172 | Senegal | -4 1000 t | 2023 | up 60.0% | volatile |
| 173 | China | -7 1000 t | 2023 | down 114.3% | falling |
| 173 | China, mainland | -7 1000 t | 2023 | down 114.0% | falling |
| 175 | United Arab Emirates | -13 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.
- South America 9 1000 t
- Western Africa 8 1000 t
- Europe 3 1000 t
- European Union (27) 2 1000 t
- Southern Asia 2 1000 t
- South-eastern Asia 2 1000 t
- Americas 1 1000 t
- Western Europe 1 1000 t
- Southern Europe 1 1000 t
- South Africa 0 1000 t
- Oceania 0 1000 t
- Small Island Developing States (SIDS) 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.