Palmkernel 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
Palmkernel Oil — Export quantity is currently reported for 122 countries. The highest value is 1,408 1000 t in Indonesia; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 22.57 1000 t.
Over the past decade 14 countries rose and 10 fell. The largest increase was in Peru (up 2,000.0%), and the largest decrease in Nigeria (down 100.0%).
Palmkernel Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 1,408 1000 t | 2023 | down 14.4% | flat |
| 2 | Malaysia | 646 1000 t | 2023 | down 22.9% | falling |
| 3 | Thailand | 108 1000 t | 2023 | down 4.4% | rising |
| 4 | Colombia | 94 1000 t | 2023 | up 77.4% | rising |
| 5 | Guatemala | 79 1000 t | 2023 | up 163.3% | rising |
| 6 | Melanesia | 70 1000 t | 2023 | up 32.1% | rising |
| 7 | Papua New Guinea | 67 1000 t | 2023 | up 34.0% | rising |
| 8 | Netherlands (Kingdom of the) | 51 1000 t | 2023 | down 66.0% | falling |
| 9 | Honduras | 40 1000 t | 2023 | up 48.1% | rising |
| 10 | Germany | 31 1000 t | 2023 | up 63.2% | volatile |
| 11 | Costa Rica | 30 1000 t | 2023 | up 57.9% | rising |
| 12 | Peru | 21 1000 t | 2023 | up 2,000.0% | volatile |
| 13 | Côte d'Ivoire | 20 1000 t | 2023 | up 33.3% | rising |
| 14 | Saudi Arabia | 19 1000 t | 2023 | — | volatile |
| 15 | Spain | 11 1000 t | 2023 | up 450.0% | volatile |
| 16 | Cambodia | 8 1000 t | 2023 | up 100.0% | volatile |
| 17 | Gabon | 6 1000 t | 2023 | — | volatile |
| 17 | Ghana | 6 1000 t | 2023 | up 200.0% | volatile |
| 19 | Belgium | 5 1000 t | 2023 | up 400.0% | volatile |
| 20 | Ecuador | 4 1000 t | 2023 | down 85.2% | volatile |
| 20 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | — | volatile |
| 22 | Italy | 3 1000 t | 2023 | — | volatile |
| 22 | Philippines | 3 1000 t | 2023 | — | volatile |
| 22 | Solomon Islands | 3 1000 t | 2023 | up 50.0% | rising |
| 22 | Türkiye | 3 1000 t | 2023 | — | volatile |
| 26 | Estonia | 2 1000 t | 2023 | — | volatile |
| 26 | Greece | 2 1000 t | 2023 | — | volatile |
| 26 | Nicaragua | 2 1000 t | 2023 | — | volatile |
| 29 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 29 | Brazil | 1 1000 t | 2023 | down 90.0% | volatile |
| 29 | France | 1 1000 t | 2023 | — | volatile |
| 29 | Liberia | 1 1000 t | 2023 | — | volatile |
| 29 | Panama | 1 1000 t | 2023 | — | volatile |
| 29 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 29 | Sweden | 1 1000 t | 2023 | unchanged | volatile |
| 36 | Angola | 0 1000 t | 2023 | — | flat |
| 36 | Argentina | 0 1000 t | 2017 | — | flat |
| 36 | Australia | 0 1000 t | 2023 | — | flat |
| 36 | Austria | 0 1000 t | 2023 | — | flat |
| 36 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 36 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 36 | Bahamas | 0 1000 t | 2020 | — | flat |
| 36 | Belarus | 0 1000 t | 2021 | — | flat |
| 36 | Belize | 0 1000 t | 2023 | — | flat |
| 36 | Botswana | 0 1000 t | 2017 | — | flat |
| 36 | Canada | 0 1000 t | 2023 | — | flat |
| 36 | Switzerland | 0 1000 t | 2023 | — | flat |
| 36 | Chile | 0 1000 t | 2023 | — | flat |
| 36 | China | 0 1000 t | 2023 | — | flat |
| 36 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 36 | Czechia | 0 1000 t | 2023 | — | flat |
| 36 | Denmark | 0 1000 t | 2023 | — | volatile |
| 36 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 36 | Algeria | 0 1000 t | 2023 | — | flat |
| 36 | Egypt | 0 1000 t | 2023 | — | volatile |
| 36 | Finland | 0 1000 t | 2020 | — | flat |
| 36 | Fiji | 0 1000 t | 2023 | — | flat |
| 36 | Guinea | 0 1000 t | 2023 | — | flat |
| 36 | Gambia | 0 1000 t | 2020 | — | volatile |
| 36 | Guyana | 0 1000 t | 2023 | — | flat |
| 36 | Croatia | 0 1000 t | 2023 | — | flat |
| 36 | Haiti | 0 1000 t | 2022 | — | flat |
| 36 | Hungary | 0 1000 t | 2022 | — | flat |
| 36 | India | 0 1000 t | 2023 | — | volatile |
| 36 | Ireland | 0 1000 t | 2023 | — | flat |
| 36 | Israel | 0 1000 t | 2023 | — | flat |
| 36 | Jamaica | 0 1000 t | 2020 | — | flat |
| 36 | Jordan | 0 1000 t | 2019 | — | flat |
| 36 | Kenya | 0 1000 t | 2022 | — | flat |
| 36 | Kuwait | 0 1000 t | 2021 | — | flat |
| 36 | Lebanon | 0 1000 t | 2022 | — | flat |
| 36 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 36 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 36 | Lithuania | 0 1000 t | 2023 | — | flat |
| 36 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 36 | Latvia | 0 1000 t | 2023 | — | flat |
| 36 | Madagascar | 0 1000 t | 2023 | — | flat |
| 36 | Mexico | 0 1000 t | 2023 | — | flat |
| 36 | North Macedonia | 0 1000 t | 2019 | — | flat |
| 36 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 36 | Montenegro | 0 1000 t | 2017 | — | flat |
| 36 | Mozambique | 0 1000 t | 2022 | — | flat |
| 36 | Mauritius | 0 1000 t | 2020 | — | flat |
| 36 | Namibia | 0 1000 t | 2022 | — | flat |
| 36 | Niger | 0 1000 t | 2018 | — | flat |
| 36 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Norway | 0 1000 t | 2021 | — | flat |
| 36 | Nepal | 0 1000 t | 2023 | — | flat |
| 36 | New Zealand | 0 1000 t | 2023 | — | flat |
| 36 | Oman | 0 1000 t | 2022 | — | flat |
| 36 | Pakistan | 0 1000 t | 2022 | — | flat |
| 36 | Poland | 0 1000 t | 2023 | — | volatile |
| 36 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 36 | Romania | 0 1000 t | 2023 | — | flat |
| 36 | Senegal | 0 1000 t | 2023 | — | flat |
| 36 | Serbia | 0 1000 t | 2021 | — | flat |
| 36 | Slovakia | 0 1000 t | 2023 | — | flat |
| 36 | Slovenia | 0 1000 t | 2023 | — | flat |
| 36 | Eswatini | 0 1000 t | 2018 | — | flat |
| 36 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 36 | Tunisia | 0 1000 t | 2023 | — | flat |
| 36 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Ukraine | 0 1000 t | 2019 | — | volatile |
| 36 | Uruguay | 0 1000 t | 2023 | — | flat |
| 36 | Samoa | 0 1000 t | 2021 | — | flat |
| 36 | Yemen | 0 1000 t | 2016 | — | flat |
| 36 | Zambia | 0 1000 t | 2021 | — | flat |
| 36 | Polynesia | 0 1000 t | 2023 | — | flat |
| 36 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Caribbean | 0 1000 t | 2023 | — | flat |
| 36 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 36 | China, Hong Kong SAR | 0 1000 t | 2021 | — | flat |
| 36 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 36 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 36 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 36 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 36 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 36 | China, mainland | 0 1000 t | 2023 | — | flat |
| 36 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 36 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 36 | United Kingdom of Great Britain and Northern Ireland | 0 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.
- World 2,714 1000 t
- Asia 2,196 1000 t
- South-eastern Asia 2,173 1000 t
- Americas 295 1000 t
- Central America 151 1000 t
- South America 125 1000 t
- Net Food Importing Developing Countries (NFIDCs) 114 1000 t
- Europe 108 1000 t
- European Union (27) 107 1000 t
- Western Europe 88 1000 t
- Oceania 70 1000 t
- Small Island Developing States (SIDS) 70 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.