Oilcrops, Other — Domestic supply 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
178
Highest
3,122 1000 t
China
Lowest
-55 1000 t
Burkina Faso
Median
3 1000 t
Years covered
14
2010–2023
Data points
2,882

What the numbers show

Oilcrops, Other — Domestic supply quantity is currently reported for 178 countries. The highest value is 3,122 1000 t in China; the lowest is -55 1000 t in Burkina Faso.

The median across all reporting countries is 3 1000 t, and the mean is 87.37 1000 t.

The gap between the highest and lowest reporting country is a factor of about 57.

Over the past decade 60 countries rose and 44 fell. The largest increase was in Peru (up 8,100.0%), and the largest decrease in Burkina Faso (down 231.0%).

Oilcrops, Other — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 3,122 1000 t 2023 up 26.9% rising
2 China, mainland 3,069 1000 t 2023 up 26.2% rising
3 India 2,432 1000 t 2023 up 13.9% rising
4 Nigeria 958 1000 t 2023 up 7.5% rising
5 Pakistan 643 1000 t 2023 up 35.4% rising
6 Russian Federation 481 1000 t 2023 up 184.6% volatile
7 Belgium 462 1000 t 2023 up 16.4% rising
8 Republic of Korea 360 1000 t 2023 up 138.4% rising
9 Ethiopia 289 1000 t 2023 up 5.1% rising
9 Viet Nam 289 1000 t 2023 up 4,716.7% volatile
11 Kazakhstan 235 1000 t 2023 down 14.5% rising
12 Indonesia 207 1000 t 2023 up 360.0% volatile
13 Türkiye 206 1000 t 2023 up 7.3% volatile
14 Ghana 180 1000 t 2023 up 427.3% volatile
15 Germany 165 1000 t 2023 up 1.9% rising
16 Democratic Republic of the Congo 134 1000 t 2023 up 34.0% rising
17 Canada 132 1000 t 2023 up 24.5% rising
18 Poland 119 1000 t 2023 up 120.4% rising
19 France 107 1000 t 2023 up 1.9% falling
20 Malaysia 104 1000 t 2023 down 53.8% falling
21 Thailand 101 1000 t 2023 up 6.3% falling
22 Brazil 94 1000 t 2023 down 79.8% volatile
23 Mozambique 86 1000 t 2023 down 14.0% falling
24 Peru 82 1000 t 2023 up 8,100.0% volatile
25 Mexico 80 1000 t 2023 down 23.8% falling
26 Spain 78 1000 t 2023 down 32.2% falling
27 Netherlands (Kingdom of the) 73 1000 t 2023 up 108.6% volatile
28 Bolivia (Plurinational State of) 66 1000 t 2023 up 925.0% volatile
29 Nepal 62 1000 t 2023 down 66.8% falling
30 Afghanistan 61 1000 t 2023 up 2,950.0% volatile
31 Uzbekistan 60 1000 t 2023 up 106.9% rising
32 United Kingdom of Great Britain and Northern Ireland 58 1000 t 2023 down 12.1% falling
33 China, Taiwan Province of 53 1000 t 2023 up 76.7% rising
34 Ukraine 51 1000 t 2023 down 13.6% volatile
35 Kenya 49 1000 t 2023 down 14.0% falling
36 Tajikistan 46 1000 t 2023 up 2,200.0% volatile
36 Uganda 46 1000 t 2023 up 2.2% rising
38 Cameroon 45 1000 t 2023 up 7.1% falling
39 Italy 44 1000 t 2023 down 87.7% volatile
39 Niger 44 1000 t 2023 up 46.7% rising
41 Côte d'Ivoire 42 1000 t 2023 up 27.3% rising
42 Bulgaria 34 1000 t 2023 up 277.8% volatile
42 Iran (Islamic Republic of) 34 1000 t 2023 down 55.3% falling
44 Argentina 30 1000 t 2023 down 64.7% falling
44 Serbia 30 1000 t 2023 up 900.0% volatile
44 Australia and New Zealand 30 1000 t 2023 up 42.9% rising
47 Zimbabwe 28 1000 t 2023 up 3.7% rising
48 Australia 27 1000 t 2023 up 80.0% rising
49 Sweden 26 1000 t 2023 down 27.8% falling
50 Azerbaijan 22 1000 t 2023 up 37.5% rising
50 Czechia 22 1000 t 2023 up 340.0% volatile
52 Chile 18 1000 t 2023 up 200.0% rising
52 Costa Rica 18 1000 t 2023 up 260.0% volatile
52 Philippines 18 1000 t 2023 down 33.3% volatile
55 Austria 15 1000 t 2023 down 42.3% rising
56 Paraguay 14 1000 t 2023 down 75.0% falling
56 Romania 14 1000 t 2023 up 100.0% volatile
58 Egypt 13 1000 t 2023 up 30.0% rising
58 Iceland 13 1000 t 2023 up 116.7% rising
60 Bangladesh 10 1000 t 2023 up 42.9% rising
60 Switzerland 10 1000 t 2023 up 11.1% rising
60 Eswatini 10 1000 t 2023 volatile
63 Lithuania 9 1000 t 2023 up 125.0% volatile
64 Kyrgyzstan 8 1000 t 2023 down 38.5% falling
64 Slovakia 8 1000 t 2023 up 166.7% rising
66 Gambia 7 1000 t 2023 up 600.0% volatile
66 Hungary 7 1000 t 2023 unchanged rising
66 Israel 7 1000 t 2023 up 16.7% rising
66 Jordan 7 1000 t 2023 up 40.0% rising
70 Denmark 6 1000 t 2023 down 40.0% falling
70 Iraq 6 1000 t 2023 volatile
70 Libya 6 1000 t 2023 up 500.0% volatile
70 Madagascar 6 1000 t 2023 up 20.0% rising
70 Uruguay 6 1000 t 2023 unchanged rising
76 Belarus 5 1000 t 2023 down 28.6% volatile
76 Congo 5 1000 t 2023 up 25.0% rising
76 Ecuador 5 1000 t 2023 up 66.7% rising
76 Slovenia 5 1000 t 2023 up 400.0% volatile
80 Dominican Republic 4 1000 t 2023 volatile
80 Finland 4 1000 t 2023 up 100.0% rising
80 Guyana 4 1000 t 2023 volatile
80 Croatia 4 1000 t 2023 down 33.3% falling
80 Morocco 4 1000 t 2023 down 20.0% rising
80 Malawi 4 1000 t 2023 unchanged rising
80 Namibia 4 1000 t 2023 volatile
80 Norway 4 1000 t 2023 unchanged rising
80 Tunisia 4 1000 t 2023 up 33.3% rising
89 Angola 3 1000 t 2023 down 25.0% rising
89 Ireland 3 1000 t 2023 down 40.0% falling
89 Myanmar 3 1000 t 2023 up 200.0% volatile
89 New Zealand 3 1000 t 2023 down 50.0% volatile
89 Saudi Arabia 3 1000 t 2023 volatile
94 Colombia 2 1000 t 2023 up 100.0% rising
94 Algeria 2 1000 t 2023 down 50.0% falling
94 Estonia 2 1000 t 2023 up 100.0% volatile
94 Haiti 2 1000 t 2023 unchanged rising
94 Cambodia 2 1000 t 2023 unchanged flat
94 Latvia 2 1000 t 2023 down 33.3% falling
94 Mauritania 2 1000 t 2023 down 33.3% flat
94 Senegal 2 1000 t 2023 unchanged volatile
102 Bosnia and Herzegovina 1 1000 t 2023 volatile
102 Cyprus 1 1000 t 2023 volatile
102 Georgia 1 1000 t 2023 unchanged volatile
102 Greece 1 1000 t 2023 down 94.7% volatile
102 Kuwait 1 1000 t 2023 down 87.5% volatile
102 North Macedonia 1 1000 t 2023 unchanged falling
102 Oman 1 1000 t 2023 volatile
102 El Salvador 1 1000 t 2023 unchanged volatile
102 Yemen 1 1000 t 2023 unchanged volatile
111 Albania 0 1000 t 2023 flat
111 United Arab Emirates 0 1000 t 2023 down 100.0% volatile
111 Armenia 0 1000 t 2023 volatile
111 Antigua and Barbuda 0 1000 t 2023 flat
111 Bahrain 0 1000 t 2023 volatile
111 Bahamas 0 1000 t 2023 flat
111 Belize 0 1000 t 2023 volatile
111 Barbados 0 1000 t 2023 flat
111 Bhutan 0 1000 t 2023 flat
111 Botswana 0 1000 t 2023 flat
111 Comoros 0 1000 t 2023 flat
111 Cuba 0 1000 t 2019 flat
111 Djibouti 0 1000 t 2023 volatile
111 Fiji 0 1000 t 2023 volatile
111 Gabon 0 1000 t 2023 flat
111 Guinea 0 1000 t 2023 flat
111 Guinea-Bissau 0 1000 t 2023 down 100.0% volatile
111 Grenada 0 1000 t 2023 flat
111 Guatemala 0 1000 t 2023 down 100.0% volatile
111 Honduras 0 1000 t 2023 flat
111 Jamaica 0 1000 t 2023 flat
111 Kiribati 0 1000 t 2023 flat
111 Saint Kitts and Nevis 0 1000 t 2023 flat
111 Lebanon 0 1000 t 2023 down 100.0% volatile
111 Liberia 0 1000 t 2023 volatile
111 Saint Lucia 0 1000 t 2023 volatile
111 Sri Lanka 0 1000 t 2023 flat
111 Lesotho 0 1000 t 2023 down 100.0% volatile
111 Luxembourg 0 1000 t 2023 down 100.0% volatile
111 Maldives 0 1000 t 2023 flat
111 Marshall Islands 0 1000 t 2023 flat
111 Malta 0 1000 t 2023 volatile
111 Montenegro 0 1000 t 2023 volatile
111 Mongolia 0 1000 t 2023 volatile
111 Mauritius 0 1000 t 2023 flat
111 New Caledonia 0 1000 t 2023 flat
111 Nicaragua 0 1000 t 2023 up 100.0% volatile
111 Papua New Guinea 0 1000 t 2023 down 100.0% volatile
111 Portugal 0 1000 t 2023 down 100.0% volatile
111 French Polynesia 0 1000 t 2023 volatile
111 Qatar 0 1000 t 2023 volatile
111 Rwanda 0 1000 t 2023 volatile
111 Solomon Islands 0 1000 t 2023 volatile
111 Sierra Leone 0 1000 t 2023 down 100.0% volatile
111 Sao Tome and Principe 0 1000 t 2023 flat
111 Suriname 0 1000 t 2023 flat
111 Seychelles 0 1000 t 2023 flat
111 Turkmenistan 0 1000 t 2023 flat
111 Tonga 0 1000 t 2023 flat
111 Trinidad and Tobago 0 1000 t 2023 volatile
111 Saint Vincent and the Grenadines 0 1000 t 2023 flat
111 Vanuatu 0 1000 t 2023 volatile
111 Samoa 0 1000 t 2023 flat
111 Micronesia 0 1000 t 2023 flat
111 Timor-Leste 0 1000 t 2023 volatile
111 Cabo Verde 0 1000 t 2023 flat
111 Melanesia 0 1000 t 2023 down 100.0% volatile
111 Polynesia 0 1000 t 2023 volatile
111 China, Hong Kong SAR 0 1000 t 2023 volatile
111 Venezuela (Bolivarian Republic of) 0 1000 t 2023 down 100.0% volatile
111 Lao People's Democratic Republic 0 1000 t 2023 volatile
111 China, Macao SAR 0 1000 t 2023 flat
173 Syrian Arab Republic -1 1000 t 2023 unchanged volatile
173 United Republic of Tanzania -1 1000 t 2023 down 102.2% falling
175 Panama -2 1000 t 2023 down 200.0% volatile
175 Republic of Moldova -2 1000 t 2023 volatile
177 Zambia -7 1000 t 2023 volatile
178 Democratic People's Republic of Korea -10 1000 t 2018 volatile
179 Burkina Faso -55 1000 t 2023 down 231.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Oilcrops, Other — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/oilcrops-other-domestic-supply-quantity/

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About this data

Indicator
Oilcrops, Other — Domestic supply quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
210 places, 2,882 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.