Soyabeans — Import 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
182
Highest
105,959 1000 t
China
Lowest
0 1000 t
Micronesia (Federated States of)
Median
3 1000 t
Years covered
14
2010–2023
Data points
2,855

What the numbers show

Soyabeans — Import quantity is currently reported for 182 countries. The highest value is 105,959 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 3 1000 t, and the mean is 1,504 1000 t.

Over the past decade 60 countries rose and 42 fell. The largest increase was in Argentina (up 207,260.0%), and the largest decrease in Estonia (down 100.0%).

Soyabeans — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 105,959 1000 t 2023 up 61.6% rising
2 China, mainland 103,387 1000 t 2023 up 63.1% rising
3 Argentina 10,368 1000 t 2023 up 207,260.0% volatile
4 Mexico 6,356 1000 t 2023 up 75.9% rising
5 Netherlands (Kingdom of the) 3,635 1000 t 2023 up 8.6% rising
6 Spain 3,330 1000 t 2023 down 1.9% flat
7 Thailand 3,290 1000 t 2023 up 95.6% rising
8 Germany 3,200 1000 t 2023 down 11.6% flat
9 Türkiye 2,903 1000 t 2023 up 170.3% rising
10 Iran (Islamic Republic of) 2,700 1000 t 2023 up 1,068.8% volatile
11 China, Taiwan Province of 2,544 1000 t 2023 up 18.8% rising
12 Egypt 2,412 1000 t 2023 up 53.4% rising
13 Italy 2,323 1000 t 2023 up 66.4% rising
14 Indonesia 2,280 1000 t 2023 up 27.4% rising
15 Viet Nam 1,835 1000 t 2023 up 40.2% rising
16 Bangladesh 1,773 1000 t 2023 up 300.2% volatile
17 Algeria 1,481 1000 t 2023 volatile
18 Russian Federation 1,388 1000 t 2023 up 20.5% rising
19 Republic of Korea 1,204 1000 t 2023 up 7.7% rising
20 Portugal 923 1000 t 2023 up 18.0% rising
21 United Kingdom of Great Britain and Northern Ireland 916 1000 t 2023 up 38.0% flat
22 India 731 1000 t 2023 up 73,000.0% volatile
23 Iraq 718 1000 t 2023 volatile
24 Malaysia 645 1000 t 2023 up 15.6% rising
25 Pakistan 611 1000 t 2023 volatile
26 Tunisia 565 1000 t 2023 up 21.0% rising
27 Saudi Arabia 550 1000 t 2023 down 1.6% rising
28 Colombia 485 1000 t 2023 up 34.3% rising
29 France 466 1000 t 2023 down 12.2% falling
30 Canada 447 1000 t 2023 up 87.0% rising
31 Norway 363 1000 t 2023 down 13.4% falling
32 Belgium 360 1000 t 2023 up 36.9% rising
33 Costa Rica 272 1000 t 2023 up 16.2% rising
34 Venezuela (Bolivarian Republic of) 264 1000 t 2023 up 6.5% volatile
35 Israel 253 1000 t 2023 down 24.0% falling
36 Peru 229 1000 t 2023 up 40.5% rising
37 Greece 205 1000 t 2023 down 28.1% falling
38 Brazil 181 1000 t 2023 down 36.0% volatile
39 Romania 175 1000 t 2023 up 49.6% volatile
40 Hungary 170 1000 t 2023 up 115.2% rising
41 Poland 161 1000 t 2023 up 182.5% volatile
42 Austria 152 1000 t 2023 up 50.5% rising
43 Philippines 151 1000 t 2023 up 420.7% rising
44 Serbia 108 1000 t 2023 up 575.0% volatile
45 Cuba 101 1000 t 2019 down 1.9% falling
46 Nepal 98 1000 t 2023 up 122.7% rising
47 Slovenia 86 1000 t 2023 up 95.5% volatile
48 Caribbean 77 1000 t 2023 down 52.8% falling
49 Chile 65 1000 t 2023 up 109.7% rising
50 Afghanistan 60 1000 t 2023 volatile
51 Kazakhstan 59 1000 t 2023 up 883.3% volatile
52 Lebanon 47 1000 t 2023 volatile
53 Denmark 45 1000 t 2023 up 221.4% volatile
54 Republic of Moldova 42 1000 t 2023 volatile
55 Slovakia 41 1000 t 2023 up 127.8% volatile
56 Morocco 37 1000 t 2023 down 41.3% volatile
57 Czechia 35 1000 t 2023 down 7.9% falling
57 Panama 35 1000 t 2023 up 150.0% rising
57 Uruguay 35 1000 t 2023 up 118.8% volatile
57 United Republic of Tanzania 35 1000 t 2023 up 3,400.0% volatile
61 Dominican Republic 33 1000 t 2023 volatile
62 Ireland 29 1000 t 2023 up 52.6% rising
63 Uzbekistan 27 1000 t 2023 up 200.0% volatile
63 China, Hong Kong SAR 27 1000 t 2023 down 34.1% falling
65 Barbados 25 1000 t 2023 up 19.0% flat
65 Zimbabwe 25 1000 t 2023 up 400.0% volatile
67 Belarus 24 1000 t 2023 up 700.0% volatile
68 Finland 21 1000 t 2023 down 50.0% volatile
68 Croatia 21 1000 t 2023 up 162.5% volatile
70 Sweden 16 1000 t 2023 down 30.4% flat
71 Myanmar 14 1000 t 2023 up 100.0% volatile
72 Azerbaijan 13 1000 t 2023 up 8.3% volatile
73 Switzerland 12 1000 t 2023 down 29.4% falling
74 Australia and New Zealand 11 1000 t 2023 up 37.5% rising
75 Cambodia 10 1000 t 2023 volatile
75 Paraguay 10 1000 t 2023 down 63.0% volatile
77 Bosnia and Herzegovina 9 1000 t 2023 down 55.0% volatile
77 Jordan 9 1000 t 2023 volatile
79 Australia 8 1000 t 2023 up 33.3% rising
79 Trinidad and Tobago 8 1000 t 2023 down 11.1% volatile
81 Turkmenistan 7 1000 t 2023 up 250.0% volatile
82 Côte d'Ivoire 6 1000 t 2023 volatile
83 United Arab Emirates 5 1000 t 2023 down 97.1% volatile
83 Sri Lanka 5 1000 t 2023 up 400.0% volatile
83 Mozambique 5 1000 t 2023 up 400.0% volatile
83 Bolivia (Plurinational State of) 5 1000 t 2023 down 50.0% falling
87 Botswana 4 1000 t 2023 up 100.0% volatile
87 New Zealand 4 1000 t 2023 up 100.0% rising
87 Rwanda 4 1000 t 2023 volatile
90 Kyrgyzstan 3 1000 t 2023 down 25.0% volatile
90 Nigeria 3 1000 t 2023 down 76.9% volatile
90 Timor-Leste 3 1000 t 2023 up 200.0% volatile
90 Melanesia 3 1000 t 2023 up 200.0% volatile
90 Democratic People's Republic of Korea 3 1000 t 2018 down 88.5% volatile
95 Ghana 2 1000 t 2023 volatile
95 Kenya 2 1000 t 2023 down 66.7% volatile
95 Mauritania 2 1000 t 2023 volatile
95 Senegal 2 1000 t 2023 volatile
95 Ukraine 2 1000 t 2023 down 33.3% volatile
95 Lao People's Democratic Republic 2 1000 t 2023 up 100.0% volatile
101 Angola 1 1000 t 2023 unchanged volatile
101 Armenia 1 1000 t 2023 volatile
101 Bulgaria 1 1000 t 2023 down 80.0% volatile
101 Gabon 1 1000 t 2023 down 50.0% falling
101 Guatemala 1 1000 t 2023 down 90.9% volatile
101 Honduras 1 1000 t 2023 down 66.7% volatile
101 Lithuania 1 1000 t 2023 down 90.0% volatile
101 Montenegro 1 1000 t 2023 volatile
101 Mauritius 1 1000 t 2023 volatile
101 New Caledonia 1 1000 t 2023 volatile
101 Papua New Guinea 1 1000 t 2023 volatile
101 Saint Vincent and the Grenadines 1 1000 t 2023 volatile
101 Samoa 1 1000 t 2023 volatile
101 Micronesia 1 1000 t 2023 volatile
101 Polynesia 1 1000 t 2023 unchanged volatile
101 China, Macao SAR 1 1000 t 2023 unchanged rising
117 Albania 0 1000 t 2023 flat
117 Antigua and Barbuda 0 1000 t 2023 flat
117 Burkina Faso 0 1000 t 2023 volatile
117 Bahrain 0 1000 t 2023 volatile
117 Bahamas 0 1000 t 2023 flat
117 Belize 0 1000 t 2023 flat
117 Bhutan 0 1000 t 2023 flat
117 Cameroon 0 1000 t 2023 flat
117 Congo 0 1000 t 2023 flat
117 Comoros 0 1000 t 2023 flat
117 Cyprus 0 1000 t 2023 flat
117 Djibouti 0 1000 t 2023 flat
117 Ecuador 0 1000 t 2023 flat
117 Estonia 0 1000 t 2023 down 100.0% volatile
117 Ethiopia 0 1000 t 2023 volatile
117 Fiji 0 1000 t 2023 volatile
117 Georgia 0 1000 t 2023 down 100.0% volatile
117 Guinea 0 1000 t 2023 flat
117 Gambia 0 1000 t 2023 flat
117 Guinea-Bissau 0 1000 t 2023 flat
117 Grenada 0 1000 t 2023 flat
117 Guyana 0 1000 t 2023 down 100.0% volatile
117 Haiti 0 1000 t 2023 flat
117 Iceland 0 1000 t 2023 volatile
117 Jamaica 0 1000 t 2023 volatile
117 Kiribati 0 1000 t 2023 volatile
117 Saint Kitts and Nevis 0 1000 t 2023 flat
117 Kuwait 0 1000 t 2023 volatile
117 Liberia 0 1000 t 2023 flat
117 Libya 0 1000 t 2023 volatile
117 Saint Lucia 0 1000 t 2023 flat
117 Lesotho 0 1000 t 2023 flat
117 Luxembourg 0 1000 t 2023 volatile
117 Latvia 0 1000 t 2023 down 100.0% volatile
117 Madagascar 0 1000 t 2023 flat
117 Maldives 0 1000 t 2023 flat
117 Marshall Islands 0 1000 t 2023 flat
117 North Macedonia 0 1000 t 2023 down 100.0% volatile
117 Malta 0 1000 t 2023 volatile
117 Mongolia 0 1000 t 2023 volatile
117 Malawi 0 1000 t 2023 down 100.0% volatile
117 Namibia 0 1000 t 2023 flat
117 Niger 0 1000 t 2023 flat
117 Nicaragua 0 1000 t 2023 volatile
117 Nauru 0 1000 t 2023 flat
117 Oman 0 1000 t 2023 volatile
117 French Polynesia 0 1000 t 2023 flat
117 Qatar 0 1000 t 2023 flat
117 Solomon Islands 0 1000 t 2023 flat
117 Sierra Leone 0 1000 t 2023 flat
117 El Salvador 0 1000 t 2023 flat
117 Sao Tome and Principe 0 1000 t 2023 flat
117 Suriname 0 1000 t 2023 flat
117 Eswatini 0 1000 t 2023 down 100.0% volatile
117 Seychelles 0 1000 t 2023 volatile
117 Tajikistan 0 1000 t 2023 down 100.0% volatile
117 Tonga 0 1000 t 2023 flat
117 Tuvalu 0 1000 t 2023 flat
117 Uganda 0 1000 t 2023 volatile
117 Vanuatu 0 1000 t 2023 flat
117 Yemen 0 1000 t 2023 down 100.0% volatile
117 Zambia 0 1000 t 2023 down 100.0% volatile
117 Cabo Verde 0 1000 t 2023 flat
117 Democratic Republic of the Congo 0 1000 t 2023 volatile
117 Syrian Arab Republic 0 1000 t 2023 down 100.0% volatile
117 Micronesia (Federated States of) 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
Soyabeans — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,855 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.