Oilcrops — 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
178
Highest
102,485 1000 t
Brazil
Lowest
0 1000 t
China, Macao SAR
Median
11 1000 t
Years covered
14
2010–2023
Data points
2,817

What the numbers show

Oilcrops — Export quantity is currently reported for 178 countries. The highest value is 102,485 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 11 1000 t, and the mean is 1,026 1000 t.

Over the past decade 73 countries rose and 56 fell. The largest increase was in Botswana (up 900.0%), and the largest decrease in Ecuador (down 100.0%).

Oilcrops — Export quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 102,485 1000 t 2023 up 138.7% rising
2 Canada 11,980 1000 t 2023 up 8.1% rising
3 Ukraine 7,384 1000 t 2023 up 87.1% rising
4 Paraguay 6,602 1000 t 2023 up 28.2% rising
5 Australia and New Zealand 6,518 1000 t 2023 up 49.7% rising
6 Australia 6,510 1000 t 2023 up 49.7% rising
7 Romania 4,075 1000 t 2023 up 109.7% rising
8 Russian Federation 3,656 1000 t 2023 up 417.1% volatile
9 Argentina 2,913 1000 t 2023 down 66.6% falling
10 Netherlands (Kingdom of the) 2,454 1000 t 2023 down 18.6% rising
11 France 1,941 1000 t 2023 up 3.5% falling
12 Belgium 1,687 1000 t 2023 up 45.1% rising
13 India 1,607 1000 t 2023 down 2.3% flat
14 Indonesia 1,577 1000 t 2023 up 67.8% rising
15 China 1,317 1000 t 2023 up 9.5% rising
16 China, mainland 1,291 1000 t 2023 up 12.7% rising
17 Poland 1,176 1000 t 2023 up 43.9% rising
18 Kazakhstan 1,116 1000 t 2023 up 232.1% volatile
19 Uruguay 1,107 1000 t 2023 down 68.6% falling
20 Bulgaria 1,044 1000 t 2023 down 36.1% falling
21 Hungary 832 1000 t 2023 down 1.0% falling
22 Thailand 708 1000 t 2023 up 686.7% volatile
23 Slovakia 654 1000 t 2023 down 6.6% rising
24 Spain 602 1000 t 2023 up 14.2% rising
25 Republic of Moldova 596 1000 t 2023 up 79.0% rising
26 Lithuania 590 1000 t 2023 up 55.3% rising
27 Bolivia (Plurinational State of) 583 1000 t 2023 down 17.1% volatile
28 Philippines 547 1000 t 2023 down 6.5% rising
29 Greece 510 1000 t 2023 up 18.9% rising
30 United Republic of Tanzania 449 1000 t 2023 up 191.6% volatile
31 Czechia 448 1000 t 2023 down 26.2% flat
32 Latvia 438 1000 t 2023 up 80.2% rising
33 Viet Nam 432 1000 t 2023 up 163.4% rising
34 Ethiopia 412 1000 t 2023 up 73.1% rising
35 Germany 395 1000 t 2023 up 14.5% falling
36 Türkiye 372 1000 t 2023 up 149.7% rising
37 Mozambique 360 1000 t 2023 up 414.3% volatile
38 Croatia 357 1000 t 2023 up 123.1% rising
39 Pakistan 315 1000 t 2023 up 443.1% volatile
40 Burkina Faso 294 1000 t 2023 up 127.9% rising
41 Austria 259 1000 t 2023 up 14.1% rising
42 Serbia 236 1000 t 2023 up 25.5% volatile
43 Sri Lanka 235 1000 t 2023 up 36.6% flat
44 Nigeria 223 1000 t 2023 up 26.7% rising
45 Egypt 212 1000 t 2023 up 26.2% rising
46 Senegal 179 1000 t 2023 up 203.4% volatile
47 Ghana 172 1000 t 2023 down 2.3% volatile
48 United Arab Emirates 164 1000 t 2023 up 168.9% rising
49 Malawi 156 1000 t 2023 up 59.2% rising
50 Denmark 154 1000 t 2023 down 3.8% falling
51 Nicaragua 145 1000 t 2023 up 3.6% rising
52 Melanesia 140 1000 t 2023 down 40.2% falling
53 Myanmar 122 1000 t 2023 up 144.0% volatile
54 Zambia 111 1000 t 2023 up 122.0% volatile
55 Portugal 110 1000 t 2023 down 16.7% falling
56 United Kingdom of Great Britain and Northern Ireland 105 1000 t 2023 down 79.2% volatile
57 Madagascar 98 1000 t 2023 up 476.5% volatile
58 Malaysia 96 1000 t 2023 down 33.8% falling
59 Côte d'Ivoire 91 1000 t 2023 down 41.3% rising
60 Italy 88 1000 t 2023 up 14.3% falling
61 Morocco 79 1000 t 2023 up 8.2% rising
62 Papua New Guinea 78 1000 t 2023 down 36.1% rising
63 Slovenia 77 1000 t 2023 up 10.0% volatile
64 Mexico 75 1000 t 2023 up 11.9% rising
65 Mongolia 68 1000 t 2023 up 257.9% volatile
66 Caribbean 66 1000 t 2023 down 31.2% volatile
67 Dominican Republic 59 1000 t 2023 down 36.6% volatile
68 Peru 55 1000 t 2023 up 103.7% rising
69 Uganda 50 1000 t 2023 up 11.1% rising
70 Vanuatu 37 1000 t 2023 down 47.1% falling
71 Ireland 35 1000 t 2023 up 94.4% volatile
72 Guatemala 33 1000 t 2023 down 15.4% falling
73 Chile 32 1000 t 2023 up 39.1% flat
74 Costa Rica 29 1000 t 2023 down 75.4% volatile
75 Solomon Islands 26 1000 t 2023 down 38.1% volatile
76 Luxembourg 25 1000 t 2023 up 8.7% falling
77 Estonia 24 1000 t 2023 down 61.9% falling
78 Azerbaijan 23 1000 t 2023 volatile
79 Venezuela (Bolivarian Republic of) 22 1000 t 2023 up 22.2% volatile
80 Sweden 19 1000 t 2023 down 69.4% falling
80 Syrian Arab Republic 19 1000 t 2023 up 72.7% rising
82 Saudi Arabia 17 1000 t 2023 up 325.0% volatile
83 Bangladesh 16 1000 t 2023 down 44.8% falling
83 Jordan 16 1000 t 2023 down 5.9% rising
83 China, Hong Kong SAR 16 1000 t 2023 down 54.3% falling
86 Albania 14 1000 t 2023 up 600.0% volatile
87 Cambodia 13 1000 t 2023 up 160.0% volatile
87 Uzbekistan 13 1000 t 2023 up 18.2% volatile
89 Bosnia and Herzegovina 12 1000 t 2023 up 500.0% volatile
90 Afghanistan 10 1000 t 2023 down 9.1% falling
90 Botswana 10 1000 t 2023 up 900.0% volatile
90 Guyana 10 1000 t 2023 down 37.5% falling
90 China, Taiwan Province of 10 1000 t 2023 down 54.5% falling
90 Democratic People's Republic of Korea 10 1000 t 2018 volatile
95 El Salvador 9 1000 t 2023 up 80.0% rising
96 New Zealand 8 1000 t 2023 up 100.0% rising
97 Israel 7 1000 t 2023 down 56.2% falling
98 Armenia 6 1000 t 2023 up 100.0% volatile
98 Kyrgyzstan 6 1000 t 2023 up 500.0% volatile
98 Trinidad and Tobago 6 1000 t 2023 up 200.0% rising
98 Timor-Leste 6 1000 t 2023 volatile
102 Lebanon 5 1000 t 2023 up 66.7% rising
102 Republic of Korea 5 1000 t 2023 down 16.7% rising
102 Lao People's Democratic Republic 5 1000 t 2023 down 16.7% volatile
105 Honduras 4 1000 t 2023 up 300.0% volatile
105 Kenya 4 1000 t 2023 down 90.2% volatile
105 Kuwait 4 1000 t 2023 down 63.6% volatile
105 Iran (Islamic Republic of) 4 1000 t 2023 up 100.0% rising
109 Belarus 3 1000 t 2023 down 72.7% volatile
109 Belize 3 1000 t 2023 volatile
109 Switzerland 3 1000 t 2023 up 50.0% rising
109 Gambia 3 1000 t 2023 down 50.0% volatile
109 Kiribati 3 1000 t 2023 up 50.0% volatile
109 Micronesia 3 1000 t 2023 up 50.0% volatile
115 Colombia 2 1000 t 2023 up 100.0% volatile
115 Finland 2 1000 t 2023 down 60.0% falling
115 Georgia 2 1000 t 2023 up 100.0% volatile
115 North Macedonia 2 1000 t 2023 down 81.8% falling
115 Namibia 2 1000 t 2023 down 75.0% volatile
115 Niger 2 1000 t 2023 down 33.3% volatile
115 Panama 2 1000 t 2023 down 84.6% volatile
115 Turkmenistan 2 1000 t 2023 down 95.7% volatile
123 Bahrain 1 1000 t 2023 volatile
123 Cameroon 1 1000 t 2023 volatile
123 Djibouti 1 1000 t 2023 unchanged volatile
123 Guinea 1 1000 t 2023 down 50.0% rising
123 Norway 1 1000 t 2023 down 50.0% falling
123 Eswatini 1 1000 t 2023 unchanged volatile
123 Tajikistan 1 1000 t 2023 down 50.0% volatile
123 Tunisia 1 1000 t 2023 unchanged volatile
123 Saint Vincent and the Grenadines 1 1000 t 2023 volatile
123 Samoa 1 1000 t 2023 down 90.9% volatile
123 Polynesia 1 1000 t 2023 down 90.9% volatile
134 Angola 0 1000 t 2023 volatile
134 Antigua and Barbuda 0 1000 t 2023 flat
134 Bahamas 0 1000 t 2023 flat
134 Barbados 0 1000 t 2023 flat
134 Bhutan 0 1000 t 2023 flat
134 Congo 0 1000 t 2023 volatile
134 Comoros 0 1000 t 2017 flat
134 Cuba 0 1000 t 2019 flat
134 Cyprus 0 1000 t 2023 volatile
134 Algeria 0 1000 t 2023 volatile
134 Ecuador 0 1000 t 2023 down 100.0% volatile
134 Fiji 0 1000 t 2023 down 100.0% volatile
134 Gabon 0 1000 t 2023 flat
134 Guinea-Bissau 0 1000 t 2023 volatile
134 Grenada 0 1000 t 2023 flat
134 Haiti 0 1000 t 2023 flat
134 Iraq 0 1000 t 2023 volatile
134 Iceland 0 1000 t 2023 flat
134 Jamaica 0 1000 t 2023 flat
134 Saint Kitts and Nevis 0 1000 t 2018 volatile
134 Liberia 0 1000 t 2023 flat
134 Libya 0 1000 t 2023 volatile
134 Saint Lucia 0 1000 t 2023 flat
134 Lesotho 0 1000 t 2023 flat
134 Maldives 0 1000 t 2022 flat
134 Malta 0 1000 t 2023 flat
134 Montenegro 0 1000 t 2023 flat
134 Mauritania 0 1000 t 2021 flat
134 Mauritius 0 1000 t 2023 flat
134 New Caledonia 0 1000 t 2023 flat
134 Nepal 0 1000 t 2023 volatile
134 Oman 0 1000 t 2023 down 100.0% volatile
134 French Polynesia 0 1000 t 2023 flat
134 Qatar 0 1000 t 2023 volatile
134 Rwanda 0 1000 t 2023 volatile
134 Sierra Leone 0 1000 t 2023 flat
134 Sao Tome and Principe 0 1000 t 2023 down 100.0% falling
134 Suriname 0 1000 t 2023 volatile
134 Seychelles 0 1000 t 2022 flat
134 Tonga 0 1000 t 2023 volatile
134 Yemen 0 1000 t 2023 down 100.0% volatile
134 Zimbabwe 0 1000 t 2023 down 100.0% volatile
134 Cabo Verde 0 1000 t 2023 flat
134 Democratic Republic of the Congo 0 1000 t 2023 volatile
134 China, Macao SAR 0 1000 t 2023 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
Oilcrops — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 2,817 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.