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
115
Highest
26,130 1000 t
Indonesia
Lowest
0 1000 t
United Republic of Tanzania
Median
4 1000 t
Years covered
14
2010–2023
Data points
2,290

What the numbers show

Palm Oil — Export quantity is currently reported for 115 countries. The highest value is 26,130 1000 t in Indonesia; the lowest is 0 1000 t in United Republic of Tanzania.

The median across all reporting countries is 4 1000 t, and the mean is 419.39 1000 t.

Over the past decade 36 countries rose and 32 fell. The largest increase was in Turkey (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 Cote d'Ivoire 278 1000 t 2023 up 39.0% rising
11 Côte d'Ivoire 278 1000 t 2023 up 39.0% rising
13 Costa Rica 237 1000 t 2023 up 39.4% rising
14 Oman 169 1000 t 2023 up 252.1% volatile
15 Italy 164 1000 t 2023 up 331.6% rising
16 Peru 142 1000 t 2023 up 688.9% volatile
17 Djibouti 140 1000 t 2023 — volatile
18 Spain 138 1000 t 2023 up 187.5% rising
19 Turkey 137 1000 t 2023 up 13,600.0% volatile
19 Türkiye 137 1000 t 2023 up 13,600.0% volatile
21 United Arab Emirates 127 1000 t 2023 down 53.0% volatile
22 United States 122 1000 t 2023 up 24.5% rising
23 Ecuador 103 1000 t 2023 down 51.6% falling
24 Kenya 93 1000 t 2023 up 93.8% volatile
25 Gabon 86 1000 t 2023 — volatile
26 Saudi Arabia 79 1000 t 2023 up 364.7% volatile
27 Cambodia 65 1000 t 2023 up 195.5% volatile
28 Uganda 64 1000 t 2023 up 88.2% rising
29 Panama 63 1000 t 2023 up 142.3% volatile
30 Nicaragua 62 1000 t 2023 up 169.6% volatile
31 Denmark 60 1000 t 2023 up 22.4% rising
32 Philippines 55 1000 t 2023 down 6.8% volatile
33 Nepal 54 1000 t 2023 — volatile
34 Belgium 52 1000 t 2023 down 5.5% rising
35 Ghana 47 1000 t 2023 down 4.1% rising
36 Sweden 35 1000 t 2023 up 218.2% volatile
37 China 32 1000 t 2023 up 357.1% volatile
38 China, mainland 31 1000 t 2023 up 1,450.0% volatile
39 Solomon Islands 29 1000 t 2023 down 17.1% falling
40 Greece 26 1000 t 2023 up 13.0% rising
41 South Africa 21 1000 t 2023 up 250.0% volatile
42 Brazil 14 1000 t 2023 down 80.6% volatile
42 Liberia 14 1000 t 2023 up 600.0% volatile
44 Mexico 13 1000 t 2023 up 1,200.0% volatile
44 Russia 13 1000 t 2023 up 550.0% volatile
44 Russian Federation 13 1000 t 2023 up 550.0% volatile
47 Cameroon 8 1000 t 2023 — volatile
47 United Kingdom 8 1000 t 2023 down 70.4% volatile
47 Sierra Leone 8 1000 t 2023 — volatile
47 United Kingdom of Great Britain and Northern Ireland 8 1000 t 2023 down 70.4% volatile
51 Croatia 7 1000 t 2023 — volatile
52 Bulgaria 6 1000 t 2023 down 53.8% falling
53 Austria 5 1000 t 2023 — volatile
53 Bangladesh 5 1000 t 2023 — volatile
53 Egypt 5 1000 t 2023 down 28.6% volatile
53 Poland 5 1000 t 2023 up 25.0% rising
57 France 4 1000 t 2023 up 300.0% volatile
57 El Salvador 4 1000 t 2023 up 300.0% volatile
57 Sao Tome and Principe 4 1000 t 2023 — volatile
60 India 3 1000 t 2023 — volatile
60 Myanmar 3 1000 t 2023 — volatile
60 Zambia 3 1000 t 2023 — volatile
63 Algeria 2 1000 t 2023 — volatile
63 Estonia 2 1000 t 2023 — volatile
63 Niger 2 1000 t 2023 down 75.0% volatile
63 Nigeria 2 1000 t 2023 down 83.3% volatile
67 Canada 1 1000 t 2023 down 50.0% volatile
67 Czechia 1 1000 t 2023 — volatile
67 Dominican Republic 1 1000 t 2023 — volatile
67 Guinea 1 1000 t 2023 unchanged volatile
67 Kazakhstan 1 1000 t 2023 — volatile
67 Latvia 1 1000 t 2023 — volatile
67 Madagascar 1 1000 t 2023 unchanged volatile
67 Mozambique 1 1000 t 2023 unchanged volatile
67 Mauritius 1 1000 t 2023 — volatile
67 Syria 1 1000 t 2023 down 85.7% volatile
67 Democratic Republic of the Congo 1 1000 t 2023 down 92.3% volatile
67 Caribbean 1 1000 t 2023 — volatile
67 Syrian Arab Republic 1 1000 t 2023 down 85.7% volatile
67 China, Taiwan Province of 1 1000 t 2023 down 80.0% volatile
81 Angola 0 1000 t 2022 down 100.0% volatile
81 Australia 0 1000 t 2022 — volatile
81 Bahrain 0 1000 t 2023 — volatile
81 Switzerland 0 1000 t 2023 — volatile
81 Congo 0 1000 t 2023 down 100.0% volatile
81 Ethiopia 0 1000 t 2023 — volatile
81 Fiji 0 1000 t 2022 down 100.0% volatile
81 Hungary 0 1000 t 2023 — volatile
81 Sri Lanka 0 1000 t 2023 down 100.0% volatile
81 Lithuania 0 1000 t 2023 — volatile
81 Morocco 0 1000 t 2023 — volatile
81 North Macedonia 0 1000 t 2023 down 100.0% volatile
81 Malawi 0 1000 t 2023 — volatile
81 New Zealand 0 1000 t 2023 — volatile
81 Pakistan 0 1000 t 2023 down 100.0% volatile
81 Portugal 0 1000 t 2023 down 100.0% volatile
81 French Polynesia 0 1000 t 2023 — volatile
81 Romania 0 1000 t 2023 down 100.0% volatile
81 Rwanda 0 1000 t 2023 — volatile
81 Senegal 0 1000 t 2023 down 100.0% volatile
81 Suriname 0 1000 t 2022 — volatile
81 Slovakia 0 1000 t 2023 — volatile
81 Slovenia 0 1000 t 2023 — volatile
81 Tunisia 0 1000 t 2023 — volatile
81 Ukraine 0 1000 t 2023 down 100.0% volatile
81 Uruguay 0 1000 t 2023 — volatile
81 Vietnam 0 1000 t 2023 — volatile
81 Yemen 0 1000 t 2023 down 100.0% volatile
81 Polynesia 0 1000 t 2023 — volatile
81 China, Hong Kong SAR 0 1000 t 2023 — volatile
81 Iran (Islamic Republic of) 0 1000 t 2023 — volatile
81 Venezuela (Bolivarian Republic of) 0 1000 t 2023 — volatile
81 Viet Nam 0 1000 t 2023 — volatile
81 Australia and New Zealand 0 1000 t 2023 — volatile
81 United Republic of Tanzania 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.

Share, cite or embed this page

Cite this page

Palm Oil — Export quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/palm-oil-export-quantity/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/palm-oil-export-quantity/">Palm Oil — Export quantity by country</a> — Statizoid

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
185 places, 2,290 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.