Groundnuts — 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
967 1000 t
China
Lowest
0 1000 t
Micronesia (Federated States of)
Median
7 1000 t
Years covered
14
2010–2023
Data points
2,872

What the numbers show

Groundnuts — Import quantity is currently reported for 182 countries. The highest value is 967 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 7 1000 t, and the mean is 42.42 1000 t.

Over the past decade 99 countries rose and 23 fell. The largest increase was in Viet Nam (up 6,780.0%), and the largest decrease in Zambia (down 100.0%).

Groundnuts — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 967 1000 t 2023 up 886.7% volatile
2 China, mainland 895 1000 t 2023 up 3,342.3% volatile
3 Netherlands (Kingdom of the) 576 1000 t 2023 up 11.0% rising
4 Indonesia 479 1000 t 2023 up 2.8% rising
5 Viet Nam 344 1000 t 2023 up 6,780.0% volatile
6 France 321 1000 t 2023 up 49.3% rising
7 Germany 282 1000 t 2023 up 20.5% rising
8 Canada 248 1000 t 2023 up 22.8% rising
9 Russian Federation 234 1000 t 2023 up 52.9% rising
10 United Kingdom of Great Britain and Northern Ireland 204 1000 t 2023 up 17.9% rising
11 Mexico 195 1000 t 2023 up 17.5% falling
12 Philippines 141 1000 t 2023 up 206.5% rising
13 Algeria 134 1000 t 2023 up 28.8% rising
14 Poland 130 1000 t 2023 up 109.7% rising
15 Spain 126 1000 t 2023 up 44.8% rising
16 Uganda 119 1000 t 2023 up 1,222.2% volatile
17 Thailand 97 1000 t 2023 down 1.0% rising
18 United Arab Emirates 92 1000 t 2023 down 9.8% falling
19 Republic of Korea 91 1000 t 2023 up 106.8% rising
20 Malaysia 84 1000 t 2023 up 100.0% rising
21 Chile 77 1000 t 2023 up 156.7% rising
22 Italy 74 1000 t 2023 up 25.4% rising
23 Belgium 71 1000 t 2023 up 54.3% rising
24 Iran (Islamic Republic of) 66 1000 t 2023 up 24.5% rising
25 Australia and New Zealand 63 1000 t 2023 up 40.0% rising
26 Sweden 59 1000 t 2023 up 22.9% rising
27 Saudi Arabia 57 1000 t 2023 down 12.3% rising
28 Iraq 49 1000 t 2023 up 4,800.0% volatile
29 Austria 47 1000 t 2023 up 67.9% rising
30 Czechia 45 1000 t 2023 up 40.6% rising
30 Romania 45 1000 t 2023 up 80.0% rising
32 Türkiye 44 1000 t 2023 up 388.9% rising
33 Caribbean 43 1000 t 2023 up 152.9% rising
34 Australia 41 1000 t 2023 up 32.3% rising
35 Kazakhstan 39 1000 t 2023 up 62.5% rising
36 Ireland 38 1000 t 2023 up 137.5% rising
37 China, Hong Kong SAR 36 1000 t 2023 down 14.3% falling
38 China, Taiwan Province of 34 1000 t 2023 up 21.4% rising
39 Colombia 32 1000 t 2023 up 88.2% rising
39 Kenya 32 1000 t 2023 up 146.2% rising
41 Israel 31 1000 t 2023 up 19.2% rising
42 Greece 29 1000 t 2023 up 52.6% rising
43 Bangladesh 26 1000 t 2023 up 2,500.0% volatile
43 Slovakia 26 1000 t 2023 up 18.2% rising
45 Finland 24 1000 t 2023 up 84.6% rising
46 Switzerland 23 1000 t 2023 up 27.8% rising
46 Libya 23 1000 t 2023 up 228.6% rising
46 Rwanda 23 1000 t 2023 up 666.7% volatile
46 Melanesia 23 1000 t 2023 up 130.0% rising
50 Norway 22 1000 t 2023 up 29.4% rising
50 New Zealand 22 1000 t 2023 up 57.1% rising
50 Pakistan 22 1000 t 2023 up 22.2% volatile
50 Peru 22 1000 t 2023 up 120.0% rising
54 Denmark 21 1000 t 2023 up 31.2% rising
54 Guatemala 21 1000 t 2023 up 133.3% rising
54 Portugal 21 1000 t 2023 up 40.0% rising
57 Lebanon 19 1000 t 2023 up 18.8% flat
57 Serbia 19 1000 t 2023 up 58.3% rising
59 Dominican Republic 18 1000 t 2023 volatile
59 Jordan 18 1000 t 2023 down 18.2% falling
61 Bulgaria 17 1000 t 2023 up 6.2% rising
61 Morocco 17 1000 t 2023 up 1,600.0% volatile
63 Ecuador 16 1000 t 2023 up 1,500.0% volatile
63 Croatia 16 1000 t 2023 up 166.7% rising
63 Nepal 16 1000 t 2023 up 128.6% rising
66 Kyrgyzstan 15 1000 t 2023 volatile
66 Yemen 15 1000 t 2023 up 50.0% volatile
68 Hungary 14 1000 t 2023 up 16.7% rising
69 Afghanistan 13 1000 t 2023 up 1,200.0% volatile
69 Luxembourg 13 1000 t 2023 up 30.0% rising
69 Panama 13 1000 t 2023 up 116.7% rising
69 El Salvador 13 1000 t 2023 up 85.7% rising
73 Costa Rica 12 1000 t 2023 up 100.0% rising
74 Lithuania 11 1000 t 2023 up 57.1% rising
74 Papua New Guinea 11 1000 t 2023 up 120.0% volatile
74 Uruguay 11 1000 t 2023 up 22.2% rising
77 Azerbaijan 10 1000 t 2023 up 42.9% rising
77 Côte d'Ivoire 10 1000 t 2023 up 400.0% volatile
79 Botswana 9 1000 t 2023 up 125.0% rising
79 Georgia 9 1000 t 2023 up 125.0% rising
79 Jamaica 9 1000 t 2023 up 50.0% rising
79 Qatar 9 1000 t 2023 rising
79 Slovenia 9 1000 t 2023 up 50.0% rising
79 Trinidad and Tobago 9 1000 t 2023 up 50.0% rising
85 Fiji 8 1000 t 2023 up 166.7% rising
85 Kuwait 8 1000 t 2023 up 14.3% rising
85 Oman 8 1000 t 2023 up 300.0% volatile
88 Albania 7 1000 t 2023 up 250.0% volatile
88 Bosnia and Herzegovina 7 1000 t 2023 up 16.7% rising
88 North Macedonia 7 1000 t 2023 up 40.0% rising
88 Mozambique 7 1000 t 2023 up 600.0% volatile
88 Namibia 7 1000 t 2023 up 16.7% rising
88 Nigeria 7 1000 t 2023 down 50.0% volatile
88 Ukraine 7 1000 t 2023 down 86.3% volatile
88 Venezuela (Bolivarian Republic of) 7 1000 t 2023 down 30.0% volatile
96 Belarus 6 1000 t 2023 down 53.8% rising
96 Latvia 6 1000 t 2023 up 50.0% rising
96 Tunisia 6 1000 t 2023 down 25.0% rising
99 Bahrain 5 1000 t 2023 rising
99 Egypt 5 1000 t 2023 down 44.4% falling
99 Estonia 5 1000 t 2023 up 150.0% rising
99 Honduras 5 1000 t 2023 up 150.0% rising
99 Mauritius 5 1000 t 2023 up 66.7% rising
99 Zimbabwe 5 1000 t 2023 down 16.7% volatile
99 Syrian Arab Republic 5 1000 t 2023 down 28.6% falling
106 Cyprus 4 1000 t 2023 up 100.0% rising
106 India 4 1000 t 2023 up 300.0% volatile
106 Senegal 4 1000 t 2023 volatile
106 Suriname 4 1000 t 2023 unchanged rising
106 Eswatini 4 1000 t 2023 down 20.0% rising
106 United Republic of Tanzania 4 1000 t 2023 down 71.4% volatile
112 Armenia 3 1000 t 2023 up 50.0% rising
112 Barbados 3 1000 t 2023 up 200.0% volatile
112 Guinea 3 1000 t 2023 volatile
112 Guyana 3 1000 t 2023 volatile
112 Madagascar 3 1000 t 2023 volatile
112 Democratic Republic of the Congo 3 1000 t 2023 volatile
118 Angola 2 1000 t 2023 unchanged volatile
118 Bahamas 2 1000 t 2023 down 50.0% flat
118 Djibouti 2 1000 t 2023 volatile
118 Ghana 2 1000 t 2023 up 100.0% volatile
118 Iceland 2 1000 t 2023 up 100.0% rising
118 Malta 2 1000 t 2023 unchanged rising
118 Montenegro 2 1000 t 2023 up 100.0% rising
118 Mongolia 2 1000 t 2023 up 100.0% rising
118 French Polynesia 2 1000 t 2023 up 100.0% rising
118 Vanuatu 2 1000 t 2023 up 100.0% volatile
118 Polynesia 2 1000 t 2023 up 100.0% rising
118 Lao People's Democratic Republic 2 1000 t 2023 volatile
118 China, Macao SAR 2 1000 t 2023 down 33.3% falling
131 Argentina 1 1000 t 2023 volatile
131 Brazil 1 1000 t 2023 unchanged volatile
131 Ethiopia 1 1000 t 2023 down 80.0% volatile
131 Grenada 1 1000 t 2023 volatile
131 Liberia 1 1000 t 2023 volatile
131 Sri Lanka 1 1000 t 2023 down 50.0% volatile
131 Lesotho 1 1000 t 2023 volatile
131 Maldives 1 1000 t 2023 volatile
131 Mauritania 1 1000 t 2023 volatile
131 New Caledonia 1 1000 t 2023 unchanged falling
131 Nicaragua 1 1000 t 2023 unchanged falling
131 Paraguay 1 1000 t 2023 volatile
131 Seychelles 1 1000 t 2023 volatile
131 Turkmenistan 1 1000 t 2023 down 50.0% falling
131 Uzbekistan 1 1000 t 2023 volatile
131 Timor-Leste 1 1000 t 2023 volatile
131 Cabo Verde 1 1000 t 2023 volatile
131 Bolivia (Plurinational State of) 1 1000 t 2023 down 66.7% volatile
131 Republic of Moldova 1 1000 t 2023 down 50.0% volatile
150 Antigua and Barbuda 0 1000 t 2023 volatile
150 Burkina Faso 0 1000 t 2023 volatile
150 Belize 0 1000 t 2023 volatile
150 Bhutan 0 1000 t 2023 flat
150 Cameroon 0 1000 t 2023 volatile
150 Congo 0 1000 t 2023 volatile
150 Comoros 0 1000 t 2023 volatile
150 Cuba 0 1000 t 2019 flat
150 Gabon 0 1000 t 2023 flat
150 Gambia 0 1000 t 2023 volatile
150 Guinea-Bissau 0 1000 t 2023 volatile
150 Haiti 0 1000 t 2023 volatile
150 Cambodia 0 1000 t 2023 volatile
150 Kiribati 0 1000 t 2023 flat
150 Saint Kitts and Nevis 0 1000 t 2023 volatile
150 Saint Lucia 0 1000 t 2023 volatile
150 Marshall Islands 0 1000 t 2023 flat
150 Myanmar 0 1000 t 2023 volatile
150 Malawi 0 1000 t 2023 volatile
150 Niger 0 1000 t 2023 volatile
150 Nauru 0 1000 t 2023 flat
150 Solomon Islands 0 1000 t 2023 flat
150 Sierra Leone 0 1000 t 2023 volatile
150 Sao Tome and Principe 0 1000 t 2023 flat
150 Tajikistan 0 1000 t 2023 flat
150 Tonga 0 1000 t 2023 flat
150 Tuvalu 0 1000 t 2023 flat
150 Saint Vincent and the Grenadines 0 1000 t 2023 flat
150 Samoa 0 1000 t 2023 volatile
150 Zambia 0 1000 t 2023 down 100.0% volatile
150 Micronesia 0 1000 t 2023 flat
150 Democratic People's Republic of Korea 0 1000 t 2018 flat
150 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
Groundnuts — 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, 2,872 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.