Palm 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
Palm Oil — Export quantity is currently reported for 146 countries. The highest value is 26,130 1000 t in Indonesia; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0.5 1000 t, and the mean is 326.37 1000 t.
Over the past decade 31 countries rose and 30 fell. The largest increase was in Türkiye (up 13,600.0%), and the largest decrease in Angola (down 100.0%).
Palm Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 26,130 1000 t | 2023 | up 27.0% | rising |
| 2 | Malaysia | 13,465 1000 t | 2023 | down 11.7% | falling |
| 3 | Thailand | 902 1000 t | 2023 | up 64.3% | volatile |
| 4 | Guatemala | 873 1000 t | 2023 | up 141.2% | rising |
| 5 | Netherlands (Kingdom of the) | 797 1000 t | 2023 | down 49.1% | falling |
| 6 | Melanesia | 769 1000 t | 2023 | up 43.2% | rising |
| 7 | Papua New Guinea | 740 1000 t | 2023 | up 48.0% | rising |
| 8 | Honduras | 492 1000 t | 2023 | up 100.0% | rising |
| 9 | Colombia | 469 1000 t | 2023 | up 153.5% | rising |
| 10 | Germany | 292 1000 t | 2023 | down 15.9% | rising |
| 11 | Côte d'Ivoire | 278 1000 t | 2023 | up 39.0% | rising |
| 12 | Costa Rica | 237 1000 t | 2023 | up 39.4% | rising |
| 13 | Oman | 169 1000 t | 2023 | up 252.1% | volatile |
| 14 | Italy | 164 1000 t | 2023 | up 331.6% | rising |
| 15 | Peru | 142 1000 t | 2023 | up 688.9% | volatile |
| 16 | Djibouti | 140 1000 t | 2023 | — | volatile |
| 17 | Spain | 138 1000 t | 2023 | up 187.5% | rising |
| 18 | Türkiye | 137 1000 t | 2023 | up 13,600.0% | volatile |
| 19 | United Arab Emirates | 127 1000 t | 2023 | down 53.0% | volatile |
| 20 | Ecuador | 103 1000 t | 2023 | down 51.6% | falling |
| 21 | Kenya | 93 1000 t | 2023 | up 93.8% | volatile |
| 22 | Gabon | 86 1000 t | 2023 | — | volatile |
| 23 | Saudi Arabia | 79 1000 t | 2023 | up 364.7% | volatile |
| 24 | Cambodia | 65 1000 t | 2023 | up 195.5% | volatile |
| 25 | Uganda | 64 1000 t | 2023 | up 88.2% | rising |
| 26 | Panama | 63 1000 t | 2023 | up 142.3% | volatile |
| 27 | Nicaragua | 62 1000 t | 2023 | up 169.6% | volatile |
| 28 | Denmark | 60 1000 t | 2023 | up 22.4% | rising |
| 29 | Philippines | 55 1000 t | 2023 | down 6.8% | volatile |
| 30 | Nepal | 54 1000 t | 2023 | — | volatile |
| 31 | Belgium | 52 1000 t | 2023 | down 5.5% | rising |
| 32 | Ghana | 47 1000 t | 2023 | down 4.1% | rising |
| 33 | Sweden | 35 1000 t | 2023 | up 218.2% | volatile |
| 34 | China | 32 1000 t | 2023 | up 357.1% | volatile |
| 35 | China, mainland | 31 1000 t | 2023 | up 1,450.0% | volatile |
| 36 | Solomon Islands | 29 1000 t | 2023 | down 17.1% | falling |
| 37 | Greece | 26 1000 t | 2023 | up 13.0% | rising |
| 38 | Brazil | 14 1000 t | 2023 | down 80.6% | volatile |
| 38 | Liberia | 14 1000 t | 2023 | up 600.0% | volatile |
| 40 | Mexico | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 40 | Russian Federation | 13 1000 t | 2023 | up 550.0% | volatile |
| 42 | Cameroon | 8 1000 t | 2023 | — | volatile |
| 42 | Sierra Leone | 8 1000 t | 2023 | — | volatile |
| 42 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | down 70.4% | volatile |
| 45 | Croatia | 7 1000 t | 2023 | — | volatile |
| 46 | Bulgaria | 6 1000 t | 2023 | down 53.8% | falling |
| 47 | Austria | 5 1000 t | 2023 | — | volatile |
| 47 | Bangladesh | 5 1000 t | 2023 | — | volatile |
| 47 | Egypt | 5 1000 t | 2023 | down 28.6% | volatile |
| 47 | Poland | 5 1000 t | 2023 | up 25.0% | rising |
| 51 | France | 4 1000 t | 2023 | up 300.0% | volatile |
| 51 | El Salvador | 4 1000 t | 2023 | up 300.0% | volatile |
| 51 | Sao Tome and Principe | 4 1000 t | 2023 | — | volatile |
| 54 | India | 3 1000 t | 2023 | — | volatile |
| 54 | Myanmar | 3 1000 t | 2023 | — | volatile |
| 54 | Zambia | 3 1000 t | 2023 | — | volatile |
| 57 | Algeria | 2 1000 t | 2023 | — | volatile |
| 57 | Estonia | 2 1000 t | 2023 | — | volatile |
| 57 | Niger | 2 1000 t | 2023 | down 75.0% | volatile |
| 57 | Nigeria | 2 1000 t | 2023 | down 83.3% | volatile |
| 61 | Canada | 1 1000 t | 2023 | down 50.0% | volatile |
| 61 | Czechia | 1 1000 t | 2023 | — | volatile |
| 61 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 61 | Guinea | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 61 | Latvia | 1 1000 t | 2023 | — | volatile |
| 61 | Madagascar | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Mozambique | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 61 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 92.3% | volatile |
| 61 | Caribbean | 1 1000 t | 2023 | — | volatile |
| 61 | Syrian Arab Republic | 1 1000 t | 2023 | down 85.7% | volatile |
| 61 | China, Taiwan Province of | 1 1000 t | 2023 | down 80.0% | volatile |
| 74 | Angola | 0 1000 t | 2022 | down 100.0% | volatile |
| 74 | Albania | 0 1000 t | 2022 | — | flat |
| 74 | Argentina | 0 1000 t | 2019 | — | flat |
| 74 | Armenia | 0 1000 t | 2017 | — | flat |
| 74 | Australia | 0 1000 t | 2022 | — | volatile |
| 74 | Azerbaijan | 0 1000 t | 2018 | — | flat |
| 74 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 74 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 74 | Bahamas | 0 1000 t | 2021 | — | flat |
| 74 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 74 | Belarus | 0 1000 t | 2023 | — | flat |
| 74 | Barbados | 0 1000 t | 2021 | — | flat |
| 74 | Botswana | 0 1000 t | 2023 | — | flat |
| 74 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 74 | Chile | 0 1000 t | 2023 | — | flat |
| 74 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Comoros | 0 1000 t | 2018 | — | flat |
| 74 | Cyprus | 0 1000 t | 2015 | — | flat |
| 74 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 74 | Finland | 0 1000 t | 2023 | — | flat |
| 74 | Fiji | 0 1000 t | 2022 | down 100.0% | volatile |
| 74 | Georgia | 0 1000 t | 2023 | — | flat |
| 74 | Gambia | 0 1000 t | 2023 | — | flat |
| 74 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 74 | Guyana | 0 1000 t | 2021 | — | flat |
| 74 | Haiti | 0 1000 t | 2023 | — | flat |
| 74 | Hungary | 0 1000 t | 2023 | — | volatile |
| 74 | Ireland | 0 1000 t | 2023 | — | flat |
| 74 | Israel | 0 1000 t | 2022 | — | flat |
| 74 | Jamaica | 0 1000 t | 2017 | — | flat |
| 74 | Jordan | 0 1000 t | 2023 | — | flat |
| 74 | Kyrgyzstan | 0 1000 t | 2016 | — | flat |
| 74 | Kuwait | 0 1000 t | 2023 | — | flat |
| 74 | Lebanon | 0 1000 t | 2023 | — | flat |
| 74 | Libya | 0 1000 t | 2014 | — | flat |
| 74 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 74 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 74 | Morocco | 0 1000 t | 2023 | — | volatile |
| 74 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Malta | 0 1000 t | 2018 | — | flat |
| 74 | Mongolia | 0 1000 t | 2014 | — | flat |
| 74 | Malawi | 0 1000 t | 2023 | — | volatile |
| 74 | Namibia | 0 1000 t | 2023 | — | flat |
| 74 | Norway | 0 1000 t | 2022 | — | flat |
| 74 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 74 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 74 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 74 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Serbia | 0 1000 t | 2023 | — | flat |
| 74 | Suriname | 0 1000 t | 2022 | — | volatile |
| 74 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 74 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 74 | Eswatini | 0 1000 t | 2022 | — | flat |
| 74 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 74 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 74 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 74 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 74 | Zimbabwe | 0 1000 t | 2018 | — | flat |
| 74 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 74 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 74 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 74 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 74 | Republic of Moldova | 0 1000 t | 2019 | — | flat |
| 74 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 74 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 74 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 74 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 74 | 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 47,139 1000 t
- Asia 41,228 1000 t
- South-eastern Asia 40,620 1000 t
- Americas 2,594 1000 t
- Central America 1,743 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,643 1000 t
- Europe 1,618 1000 t
- European Union (27) 1,597 1000 t
- Western Europe 1,151 1000 t
- Africa 928 1000 t
- Small Island Developing States (SIDS) 776 1000 t
- Oceania 769 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.