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...

Countries reporting
146
Highest
26,130 1000 t
Indonesia
Lowest
0 1000 t
China, Macao SAR
Median
0.5 1000 t
Years covered
14
2010–2023
Data points
2,190

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 LatestYear 10-year changeTrend
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.

About this data

Indicator
Palm Oil — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
177 places, 2,190 data points, 2010–2023
Last refreshed

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.