Groundnut Oil — Export quantity 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 — Export quantity is currently reported for 111 countries. The highest value is 116 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 3.06 1000 t.
Over the past decade 8 countries rose and 6 fell. The largest increase was in India (up 3,766.7%), and the largest decrease in Australia (down 100.0%).
Groundnut Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 116 1000 t | 2023 | up 3,766.7% | volatile |
| 2 | Brazil | 96 1000 t | 2023 | up 52.4% | volatile |
| 3 | Argentina | 40 1000 t | 2023 | down 2.4% | falling |
| 4 | Nicaragua | 17 1000 t | 2023 | up 6.2% | rising |
| 5 | Belgium | 15 1000 t | 2023 | up 25.0% | falling |
| 6 | China | 11 1000 t | 2023 | up 10.0% | flat |
| 6 | Netherlands (Kingdom of the) | 11 1000 t | 2023 | up 266.7% | volatile |
| 8 | Gambia | 10 1000 t | 2023 | — | volatile |
| 8 | China, mainland | 10 1000 t | 2023 | up 42.9% | rising |
| 10 | France | 3 1000 t | 2023 | down 50.0% | falling |
| 11 | Italy | 2 1000 t | 2023 | up 100.0% | rising |
| 11 | Senegal | 2 1000 t | 2023 | down 87.5% | volatile |
| 11 | China, Hong Kong SAR | 2 1000 t | 2023 | unchanged | falling |
| 14 | Germany | 1 1000 t | 2023 | — | rising |
| 14 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 14 | Niger | 1 1000 t | 2023 | — | volatile |
| 14 | Nigeria | 1 1000 t | 2023 | down 75.0% | falling |
| 14 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 19 | Angola | 0 1000 t | 2022 | — | flat |
| 19 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 19 | Armenia | 0 1000 t | 2023 | — | flat |
| 19 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Austria | 0 1000 t | 2023 | — | flat |
| 19 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 19 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 19 | Barbados | 0 1000 t | 2023 | — | flat |
| 19 | Botswana | 0 1000 t | 2023 | — | flat |
| 19 | Canada | 0 1000 t | 2023 | — | flat |
| 19 | Switzerland | 0 1000 t | 2023 | — | flat |
| 19 | Cameroon | 0 1000 t | 2023 | — | flat |
| 19 | Congo | 0 1000 t | 2023 | — | flat |
| 19 | Colombia | 0 1000 t | 2023 | — | flat |
| 19 | Czechia | 0 1000 t | 2023 | — | flat |
| 19 | Denmark | 0 1000 t | 2023 | — | flat |
| 19 | Algeria | 0 1000 t | 2021 | — | flat |
| 19 | Egypt | 0 1000 t | 2023 | — | flat |
| 19 | Spain | 0 1000 t | 2023 | — | volatile |
| 19 | Estonia | 0 1000 t | 2023 | — | flat |
| 19 | Finland | 0 1000 t | 2023 | — | flat |
| 19 | Fiji | 0 1000 t | 2022 | — | flat |
| 19 | Gabon | 0 1000 t | 2019 | — | flat |
| 19 | Georgia | 0 1000 t | 2016 | — | flat |
| 19 | Ghana | 0 1000 t | 2023 | — | volatile |
| 19 | Guinea | 0 1000 t | 2023 | — | flat |
| 19 | Guinea-Bissau | 0 1000 t | 2022 | — | flat |
| 19 | Greece | 0 1000 t | 2022 | — | flat |
| 19 | Guatemala | 0 1000 t | 2023 | — | flat |
| 19 | Croatia | 0 1000 t | 2022 | — | flat |
| 19 | Hungary | 0 1000 t | 2023 | — | flat |
| 19 | Indonesia | 0 1000 t | 2023 | — | flat |
| 19 | Ireland | 0 1000 t | 2023 | — | flat |
| 19 | Israel | 0 1000 t | 2023 | — | flat |
| 19 | Jamaica | 0 1000 t | 2015 | — | flat |
| 19 | Jordan | 0 1000 t | 2016 | — | flat |
| 19 | Kenya | 0 1000 t | 2022 | — | flat |
| 19 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 19 | Lebanon | 0 1000 t | 2022 | — | flat |
| 19 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 19 | Lithuania | 0 1000 t | 2023 | — | flat |
| 19 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 19 | Latvia | 0 1000 t | 2023 | — | flat |
| 19 | Morocco | 0 1000 t | 2023 | — | flat |
| 19 | Madagascar | 0 1000 t | 2017 | — | flat |
| 19 | Mexico | 0 1000 t | 2018 | — | flat |
| 19 | Malta | 0 1000 t | 2022 | — | flat |
| 19 | Myanmar | 0 1000 t | 2023 | — | flat |
| 19 | Montenegro | 0 1000 t | 2015 | — | flat |
| 19 | Mozambique | 0 1000 t | 2022 | — | flat |
| 19 | Malawi | 0 1000 t | 2023 | — | flat |
| 19 | Namibia | 0 1000 t | 2020 | — | flat |
| 19 | Norway | 0 1000 t | 2023 | — | flat |
| 19 | Nepal | 0 1000 t | 2015 | — | flat |
| 19 | New Zealand | 0 1000 t | 2023 | — | flat |
| 19 | Oman | 0 1000 t | 2023 | — | volatile |
| 19 | Pakistan | 0 1000 t | 2021 | — | flat |
| 19 | Peru | 0 1000 t | 2022 | — | flat |
| 19 | Philippines | 0 1000 t | 2023 | — | volatile |
| 19 | Poland | 0 1000 t | 2023 | — | flat |
| 19 | Portugal | 0 1000 t | 2023 | — | flat |
| 19 | Paraguay | 0 1000 t | 2022 | — | flat |
| 19 | Romania | 0 1000 t | 2023 | — | flat |
| 19 | Rwanda | 0 1000 t | 2022 | — | flat |
| 19 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 19 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 19 | Serbia | 0 1000 t | 2021 | — | flat |
| 19 | Slovakia | 0 1000 t | 2017 | — | flat |
| 19 | Slovenia | 0 1000 t | 2023 | — | flat |
| 19 | Sweden | 0 1000 t | 2023 | — | flat |
| 19 | Eswatini | 0 1000 t | 2015 | — | flat |
| 19 | Thailand | 0 1000 t | 2023 | — | flat |
| 19 | Tunisia | 0 1000 t | 2023 | — | flat |
| 19 | Uganda | 0 1000 t | 2023 | — | flat |
| 19 | Ukraine | 0 1000 t | 2023 | — | flat |
| 19 | Yemen | 0 1000 t | 2015 | — | flat |
| 19 | Zambia | 0 1000 t | 2021 | — | flat |
| 19 | Zimbabwe | 0 1000 t | 2019 | — | flat |
| 19 | Melanesia | 0 1000 t | 2023 | — | flat |
| 19 | Polynesia | 0 1000 t | 2018 | — | flat |
| 19 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 19 | Caribbean | 0 1000 t | 2023 | — | flat |
| 19 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 19 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 19 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 19 | Syrian Arab Republic | 0 1000 t | 2022 | — | flat |
| 19 | Türkiye | 0 1000 t | 2022 | — | flat |
| 19 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 19 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 19 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 19 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 19 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 343 1000 t
- Americas 159 1000 t
- South America 136 1000 t
- Asia 130 1000 t
- Southern Asia 116 1000 t
- Low Income Food Deficit Countries (LIFDCs) 38 1000 t
- Europe 32 1000 t
- European Union (27) 31 1000 t
- Western Europe 30 1000 t
- Africa 22 1000 t
- Least Developed Countries (LDCs) 21 1000 t
- Net Food Importing Developing Countries (NFIDCs) 21 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.