Cereals, other — 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
3,091 1000 t
China
Lowest
0 1000 t
Micronesia (Federated States of)
Median
5 1000 t
Years covered
14
2010–2023
Data points
2,892

What the numbers show

Cereals, other — Import quantity is currently reported for 182 countries. The highest value is 3,091 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 5 1000 t, and the mean is 76.82 1000 t.

Over the past decade 68 countries rose and 51 fell. The largest increase was in Ghana (up 61,900.0%), and the largest decrease in Angola (down 100.0%).

Cereals, other — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 3,091 1000 t 2023 up 1,535.5% volatile
2 China, mainland 3,052 1000 t 2023 up 2,892.2% volatile
3 Netherlands (Kingdom of the) 1,004 1000 t 2023 up 127.7% rising
4 Ghana 620 1000 t 2023 up 61,900.0% volatile
5 Germany 601 1000 t 2023 up 96.4% rising
6 Spain 510 1000 t 2023 up 90.3% rising
7 Mexico 397 1000 t 2023 down 25.9% falling
8 Uruguay 325 1000 t 2023 up 692.7% volatile
9 Kenya 271 1000 t 2023 up 77.1% volatile
10 Belgium 263 1000 t 2023 down 2.6% rising
11 France 233 1000 t 2023 up 20.1% falling
12 Liberia 215 1000 t 2023 volatile
13 Italy 207 1000 t 2023 up 28.6% rising
14 United Arab Emirates 206 1000 t 2023 up 610.3% volatile
15 Canada 182 1000 t 2023 up 102.2% rising
16 India 146 1000 t 2023 down 62.3% volatile
17 Denmark 124 1000 t 2023 up 55.0% rising
17 Malaysia 124 1000 t 2023 up 14.8% rising
19 Argentina 109 1000 t 2023 down 49.8% falling
20 Türkiye 108 1000 t 2023 up 40.3% rising
21 Ireland 107 1000 t 2023 up 98.1% rising
22 Kazakhstan 102 1000 t 2023 up 628.6% volatile
23 Greece 89 1000 t 2023 up 50.8% rising
24 Republic of Korea 87 1000 t 2023 up 52.6% volatile
25 Poland 85 1000 t 2023 down 24.1% falling
26 Chile 78 1000 t 2023 up 20.0% volatile
27 Guatemala 76 1000 t 2023 up 850.0% volatile
28 Portugal 73 1000 t 2023 up 49.0% volatile
29 Iraq 66 1000 t 2023 volatile
29 Saudi Arabia 66 1000 t 2023 up 22.2% volatile
31 Luxembourg 64 1000 t 2023 up 255.6% volatile
32 Lao People's Democratic Republic 55 1000 t 2023 up 511.1% volatile
33 Austria 54 1000 t 2023 up 25.6% rising
34 Georgia 53 1000 t 2023 up 783.3% volatile
35 Caribbean 51 1000 t 2023 up 183.3% rising
36 Latvia 48 1000 t 2023 up 77.8% rising
37 Uzbekistan 39 1000 t 2023 up 160.0% volatile
38 United Kingdom of Great Britain and Northern Ireland 38 1000 t 2023 down 7.3% rising
39 Switzerland 36 1000 t 2023 up 89.5% rising
40 El Salvador 33 1000 t 2023 up 230.0% volatile
40 Australia and New Zealand 33 1000 t 2023 down 48.4% falling
42 Niger 30 1000 t 2023 up 233.3% volatile
43 Cyprus 29 1000 t 2023 up 866.7% volatile
43 Romania 29 1000 t 2023 down 25.6% rising
45 Czechia 27 1000 t 2023 unchanged volatile
46 Lithuania 26 1000 t 2023 up 73.3% rising
46 Oman 26 1000 t 2023 down 58.7% volatile
46 Democratic Republic of the Congo 26 1000 t 2023 up 766.7% volatile
49 Israel 25 1000 t 2023 down 64.8% volatile
49 Senegal 25 1000 t 2023 volatile
49 Thailand 25 1000 t 2023 up 8.7% volatile
49 Yemen 25 1000 t 2023 volatile
53 Brazil 23 1000 t 2023 down 25.8% falling
54 Azerbaijan 22 1000 t 2023 down 15.4% falling
54 China, Taiwan Province of 22 1000 t 2023 down 50.0% falling
56 Côte d'Ivoire 21 1000 t 2023 up 250.0% volatile
57 Australia 20 1000 t 2023 down 16.7% rising
58 Melanesia 19 1000 t 2023 up 35.7% rising
59 Slovakia 18 1000 t 2023 up 157.1% rising
60 Kuwait 17 1000 t 2023 up 183.3% volatile
61 Mauritania 16 1000 t 2023 up 166.7% volatile
62 New Zealand 14 1000 t 2023 down 65.0% volatile
62 Slovenia 14 1000 t 2023 down 6.7% rising
62 Trinidad and Tobago 14 1000 t 2023 up 27.3% rising
65 Colombia 13 1000 t 2023 down 23.5% flat
65 Cambodia 13 1000 t 2023 up 8.3% volatile
67 China, Hong Kong SAR 12 1000 t 2023 down 69.2% falling
68 Indonesia 11 1000 t 2023 down 8.3% volatile
68 Kyrgyzstan 11 1000 t 2023 up 120.0% volatile
68 Lesotho 11 1000 t 2023 up 175.0% volatile
71 Croatia 10 1000 t 2023 down 44.4% falling
71 Hungary 10 1000 t 2023 down 67.7% volatile
71 Papua New Guinea 10 1000 t 2023 down 9.1% flat
71 Sweden 10 1000 t 2023 down 92.6% volatile
71 Tajikistan 10 1000 t 2023 up 900.0% volatile
71 Republic of Moldova 10 1000 t 2023 up 25.0% rising
77 Armenia 9 1000 t 2023 up 125.0% flat
77 Ethiopia 9 1000 t 2023 up 800.0% volatile
77 Montenegro 9 1000 t 2023 up 200.0% rising
77 Panama 9 1000 t 2023 up 80.0% volatile
81 Viet Nam 8 1000 t 2023 up 100.0% rising
82 Estonia 7 1000 t 2023 unchanged rising
82 Fiji 7 1000 t 2023 up 133.3% volatile
82 Lebanon 7 1000 t 2023 down 22.2% falling
82 Philippines 7 1000 t 2023 unchanged volatile
82 Qatar 7 1000 t 2023 rising
87 Mongolia 6 1000 t 2023 up 500.0% volatile
88 Libya 5 1000 t 2023 up 150.0% volatile
88 Serbia 5 1000 t 2023 up 150.0% rising
88 Zimbabwe 5 1000 t 2023 down 44.4% volatile
88 Russian Federation 5 1000 t 2023 down 91.9% volatile
88 China, Macao SAR 5 1000 t 2023 up 66.7% rising
93 Bulgaria 4 1000 t 2023 down 50.0% volatile
93 Bosnia and Herzegovina 4 1000 t 2023 up 33.3% rising
93 Djibouti 4 1000 t 2023 volatile
93 Honduras 4 1000 t 2023 down 63.6% falling
93 Haiti 4 1000 t 2023 up 300.0% volatile
93 Malta 4 1000 t 2023 up 300.0% volatile
93 Nicaragua 4 1000 t 2023 up 33.3% volatile
93 Nepal 4 1000 t 2023 down 69.2% volatile
93 Peru 4 1000 t 2023 unchanged falling
93 Ukraine 4 1000 t 2023 down 83.3% volatile
103 Dominican Republic 3 1000 t 2023 up 200.0% rising
103 Algeria 3 1000 t 2023 down 25.0% volatile
103 Ecuador 3 1000 t 2023 up 50.0% volatile
103 Morocco 3 1000 t 2023 up 50.0% volatile
103 Norway 3 1000 t 2023 up 50.0% volatile
103 Eswatini 3 1000 t 2023 up 200.0% volatile
109 Afghanistan 2 1000 t 2023 volatile
109 Burkina Faso 2 1000 t 2023 down 33.3% volatile
109 Bahrain 2 1000 t 2023 falling
109 Botswana 2 1000 t 2023 down 50.0% volatile
109 Cameroon 2 1000 t 2023 volatile
109 Congo 2 1000 t 2023 volatile
109 Egypt 2 1000 t 2023 down 86.7% volatile
109 Finland 2 1000 t 2023 down 83.3% volatile
109 Iceland 2 1000 t 2023 down 50.0% rising
109 Madagascar 2 1000 t 2023 volatile
109 Tunisia 2 1000 t 2023 unchanged volatile
109 Iran (Islamic Republic of) 2 1000 t 2023 volatile
109 Syrian Arab Republic 2 1000 t 2023 up 100.0% volatile
122 Albania 1 1000 t 2023 unchanged volatile
122 Bangladesh 1 1000 t 2023 volatile
122 Barbados 1 1000 t 2023 unchanged volatile
122 Comoros 1 1000 t 2023 volatile
122 Costa Rica 1 1000 t 2023 unchanged falling
122 Cuba 1 1000 t 2019 unchanged rising
122 Guyana 1 1000 t 2023 down 66.7% volatile
122 Jordan 1 1000 t 2023 down 80.0% falling
122 North Macedonia 1 1000 t 2023 volatile
122 Namibia 1 1000 t 2023 down 66.7% volatile
122 New Caledonia 1 1000 t 2023 volatile
122 Nigeria 1 1000 t 2023 volatile
122 Pakistan 1 1000 t 2023 unchanged volatile
122 Rwanda 1 1000 t 2023 down 91.7% volatile
122 Suriname 1 1000 t 2023 volatile
122 Turkmenistan 1 1000 t 2023 down 75.0% volatile
122 Uganda 1 1000 t 2023 volatile
122 Samoa 1 1000 t 2023 volatile
122 Zambia 1 1000 t 2023 volatile
122 Timor-Leste 1 1000 t 2023 volatile
122 Cabo Verde 1 1000 t 2023 unchanged rising
122 Polynesia 1 1000 t 2023 volatile
122 United Republic of Tanzania 1 1000 t 2023 down 50.0% volatile
145 Angola 0 1000 t 2023 down 100.0% volatile
145 Antigua and Barbuda 0 1000 t 2023 flat
145 Bahamas 0 1000 t 2023 down 100.0% volatile
145 Belarus 0 1000 t 2023 down 100.0% volatile
145 Belize 0 1000 t 2023 flat
145 Bhutan 0 1000 t 2023 flat
145 Gabon 0 1000 t 2023 flat
145 Guinea 0 1000 t 2023 flat
145 Gambia 0 1000 t 2023 down 100.0% volatile
145 Guinea-Bissau 0 1000 t 2023 volatile
145 Grenada 0 1000 t 2023 flat
145 Jamaica 0 1000 t 2023 down 100.0% volatile
145 Kiribati 0 1000 t 2023 flat
145 Saint Kitts and Nevis 0 1000 t 2023 volatile
145 Saint Lucia 0 1000 t 2023 flat
145 Sri Lanka 0 1000 t 2023 volatile
145 Maldives 0 1000 t 2023 volatile
145 Marshall Islands 0 1000 t 2023 flat
145 Myanmar 0 1000 t 2022 down 100.0% volatile
145 Mozambique 0 1000 t 2023 down 100.0% volatile
145 Mauritius 0 1000 t 2023 volatile
145 Malawi 0 1000 t 2023 volatile
145 Nauru 0 1000 t 2023 flat
145 Paraguay 0 1000 t 2023 down 100.0% volatile
145 French Polynesia 0 1000 t 2023 volatile
145 Solomon Islands 0 1000 t 2023 volatile
145 Sierra Leone 0 1000 t 2023 flat
145 Sao Tome and Principe 0 1000 t 2023 flat
145 Seychelles 0 1000 t 2023 volatile
145 Tonga 0 1000 t 2023 flat
145 Tuvalu 0 1000 t 2023 flat
145 Saint Vincent and the Grenadines 0 1000 t 2023 volatile
145 Vanuatu 0 1000 t 2023 flat
145 Micronesia 0 1000 t 2023 flat
145 Bolivia (Plurinational State of) 0 1000 t 2023 volatile
145 Venezuela (Bolivarian Republic of) 0 1000 t 2023 volatile
145 Democratic People's Republic of Korea 0 1000 t 2018 down 100.0% volatile
145 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
Cereals, other — 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, 2,892 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.