Treenuts — 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
3,178 1000 t
Germany
Lowest
0 1000 t
Micronesia (Federated States of)
Median
8.5 1000 t
Years covered
14
2010–2023
Data points
2,887

What the numbers show

Treenuts — Import quantity is currently reported for 182 countries. The highest value is 3,178 1000 t in Germany; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 8.5 1000 t, and the mean is 132.98 1000 t.

Over the past decade 93 countries rose and 30 fell. The largest increase was in Kyrgyzstan (up 11,700.0%), and the largest decrease in Belize (down 100.0%).

Treenuts — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Germany 3,178 1000 t 2023 up 48.4% rising
2 Viet Nam 2,280 1000 t 2023 up 508.0% volatile
3 India 1,643 1000 t 2023 up 54.4% rising
4 Netherlands (Kingdom of the) 1,582 1000 t 2023 up 73.3% rising
5 United Arab Emirates 1,224 1000 t 2023 up 68.1% rising
6 Canada 1,045 1000 t 2023 up 35.5% rising
7 China 802 1000 t 2023 down 16.3% falling
8 United Kingdom of Great Britain and Northern Ireland 791 1000 t 2023 up 34.8% rising
9 Italy 779 1000 t 2023 up 94.8% rising
10 Spain 744 1000 t 2023 up 113.2% rising
11 France 671 1000 t 2023 up 57.5% rising
12 China, mainland 659 1000 t 2023 up 527.6% volatile
13 Türkiye 652 1000 t 2023 up 443.3% volatile
14 Saudi Arabia 478 1000 t 2023 up 129.8% rising
15 Belgium 464 1000 t 2023 up 5.2% rising
16 Republic of Korea 463 1000 t 2023 up 4.0% rising
17 Australia and New Zealand 421 1000 t 2023 up 6.6% rising
18 Poland 396 1000 t 2023 up 134.3% rising
19 Iran (Islamic Republic of) 384 1000 t 2023 up 1,645.5% volatile
20 Russian Federation 374 1000 t 2023 down 6.3% falling
21 Australia 308 1000 t 2023 up 1.0% rising
22 Switzerland 283 1000 t 2023 up 31.0% rising
23 Kazakhstan 280 1000 t 2023 up 44.3% rising
24 Malaysia 207 1000 t 2023 up 36.2% rising
25 Sweden 199 1000 t 2023 up 18.5% rising
26 Morocco 170 1000 t 2023 up 2,025.0% volatile
27 Libya 157 1000 t 2023 up 166.1% volatile
28 Austria 147 1000 t 2023 up 22.5% rising
29 Czechia 143 1000 t 2023 up 116.7% rising
30 Brazil 128 1000 t 2023 up 21.9% rising
31 Denmark 126 1000 t 2023 up 10.5% rising
32 Kyrgyzstan 118 1000 t 2023 up 11,700.0% volatile
33 New Zealand 112 1000 t 2023 up 24.4% rising
34 Israel 110 1000 t 2023 up 4.8% rising
35 Thailand 109 1000 t 2023 up 109.6% rising
36 Greece 105 1000 t 2023 up 64.1% rising
36 Romania 105 1000 t 2023 up 169.2% rising
38 Iraq 98 1000 t 2023 up 1,860.0% volatile
39 Jordan 92 1000 t 2023 up 162.9% rising
40 Algeria 81 1000 t 2023 up 42.1% rising
41 Qatar 80 1000 t 2023 rising
42 Egypt 79 1000 t 2023 down 11.2% rising
42 Portugal 79 1000 t 2023 up 154.8% rising
44 Lebanon 78 1000 t 2023 down 10.3% falling
45 Kuwait 76 1000 t 2023 up 35.7% rising
46 China, Taiwan Province of 75 1000 t 2023 down 58.3% falling
47 Luxembourg 73 1000 t 2023 up 43.1% rising
48 Finland 71 1000 t 2023 up 54.3% rising
49 Lithuania 68 1000 t 2023 up 112.5% rising
50 Mexico 64 1000 t 2023 up 4.9% rising
51 China, Hong Kong SAR 62 1000 t 2023 down 90.6% volatile
52 Ireland 60 1000 t 2023 up 27.7% rising
53 Norway 57 1000 t 2023 down 32.9% flat
53 Slovakia 57 1000 t 2023 up 78.1% rising
53 Ukraine 57 1000 t 2023 down 8.1% rising
56 Croatia 55 1000 t 2023 up 161.9% rising
57 Bulgaria 49 1000 t 2023 up 96.0% rising
58 Bangladesh 44 1000 t 2023 down 48.2% volatile
58 Oman 44 1000 t 2023 up 144.4% volatile
60 Caribbean 42 1000 t 2023 up 23.5% rising
61 Bahrain 38 1000 t 2023 rising
62 Indonesia 36 1000 t 2023 up 227.3% volatile
63 Estonia 35 1000 t 2023 up 84.2% rising
63 Latvia 35 1000 t 2023 up 45.8% rising
65 Slovenia 33 1000 t 2023 up 73.7% rising
66 Pakistan 28 1000 t 2023 down 71.7% volatile
66 Uzbekistan 28 1000 t 2023 volatile
68 Armenia 27 1000 t 2023 up 285.7% volatile
68 Azerbaijan 27 1000 t 2023 up 200.0% rising
68 Serbia 27 1000 t 2023 up 50.0% rising
71 Georgia 26 1000 t 2023 up 1,200.0% volatile
72 Argentina 24 1000 t 2023 down 25.0% falling
73 Hungary 23 1000 t 2023 up 91.7% rising
74 Afghanistan 22 1000 t 2023 up 266.7% volatile
74 Bosnia and Herzegovina 22 1000 t 2023 up 144.4% rising
76 Dominican Republic 21 1000 t 2023 volatile
77 Lao People's Democratic Republic 20 1000 t 2023 volatile
78 Chile 18 1000 t 2023 up 38.5% rising
78 Philippines 18 1000 t 2023 up 260.0% volatile
78 Yemen 18 1000 t 2023 up 800.0% volatile
81 Belarus 16 1000 t 2023 down 65.2% volatile
82 Albania 14 1000 t 2023 up 250.0% volatile
82 Syrian Arab Republic 14 1000 t 2023 down 6.7% falling
84 Peru 12 1000 t 2023 up 100.0% rising
84 Turkmenistan 12 1000 t 2023 up 300.0% volatile
86 Panama 11 1000 t 2023 up 57.1% rising
86 Tunisia 11 1000 t 2023 down 35.3% falling
88 Burkina Faso 10 1000 t 2023 down 41.2% falling
89 Colombia 9 1000 t 2023 up 80.0% rising
89 North Macedonia 9 1000 t 2023 up 28.6% rising
89 Nigeria 9 1000 t 2023 up 800.0% volatile
92 Honduras 8 1000 t 2023 up 60.0% volatile
92 Maldives 8 1000 t 2023 up 100.0% volatile
92 Nepal 8 1000 t 2023 down 93.4% volatile
95 Costa Rica 7 1000 t 2023 down 22.2% rising
95 Cyprus 7 1000 t 2023 up 16.7% falling
95 Malta 7 1000 t 2023 up 40.0% rising
95 Montenegro 7 1000 t 2023 up 133.3% rising
95 El Salvador 7 1000 t 2023 up 133.3% rising
95 Tajikistan 7 1000 t 2023 volatile
95 Republic of Moldova 7 1000 t 2023 up 16.7% rising
102 Mauritius 6 1000 t 2023 up 100.0% rising
102 Uruguay 6 1000 t 2023 up 50.0% rising
102 China, Macao SAR 6 1000 t 2023 down 50.0% falling
105 Barbados 5 1000 t 2023 unchanged rising
105 Jamaica 5 1000 t 2023 down 68.8% volatile
107 Bahamas 4 1000 t 2023 up 100.0% volatile
107 Ecuador 4 1000 t 2023 up 100.0% rising
107 Iceland 4 1000 t 2023 up 100.0% rising
107 Trinidad and Tobago 4 1000 t 2023 down 50.0% falling
111 Botswana 3 1000 t 2023 up 50.0% rising
111 Ethiopia 3 1000 t 2023 up 200.0% volatile
111 Ghana 3 1000 t 2023 up 200.0% volatile
111 Guatemala 3 1000 t 2023 up 50.0% rising
111 Cambodia 3 1000 t 2023 up 200.0% volatile
111 Mozambique 3 1000 t 2023 up 50.0% volatile
111 Senegal 3 1000 t 2023 down 25.0% falling
111 Melanesia 3 1000 t 2023 unchanged rising
119 Fiji 2 1000 t 2023 up 100.0% rising
119 Guyana 2 1000 t 2023 down 33.3% volatile
119 Namibia 2 1000 t 2023 unchanged volatile
119 Nicaragua 2 1000 t 2023 up 100.0% rising
119 French Polynesia 2 1000 t 2023 up 100.0% rising
119 Polynesia 2 1000 t 2023 up 100.0% rising
119 Venezuela (Bolivarian Republic of) 2 1000 t 2023 down 71.4% volatile
126 Angola 1 1000 t 2023 volatile
126 Antigua and Barbuda 1 1000 t 2023 unchanged volatile
126 Bhutan 1 1000 t 2023 flat
126 Cuba 1 1000 t 2019 volatile
126 Gabon 1 1000 t 2023 volatile
126 Kenya 1 1000 t 2023 down 50.0% volatile
126 Sri Lanka 1 1000 t 2023 down 50.0% volatile
126 Mongolia 1 1000 t 2023 volatile
126 Mauritania 1 1000 t 2023 volatile
126 New Caledonia 1 1000 t 2023 unchanged rising
126 Niger 1 1000 t 2023 down 50.0% volatile
126 Paraguay 1 1000 t 2023 unchanged volatile
126 Eswatini 1 1000 t 2023 down 66.7% volatile
126 Seychelles 1 1000 t 2023 volatile
126 Saint Vincent and the Grenadines 1 1000 t 2023 volatile
126 Côte d'Ivoire 1 1000 t 2023 volatile
126 United Republic of Tanzania 1 1000 t 2023 volatile
143 Belize 0 1000 t 2023 down 100.0% volatile
143 Cameroon 0 1000 t 2023 volatile
143 Congo 0 1000 t 2023 flat
143 Comoros 0 1000 t 2023 flat
143 Djibouti 0 1000 t 2023 volatile
143 Guinea 0 1000 t 2023 volatile
143 Gambia 0 1000 t 2023 down 100.0% volatile
143 Guinea-Bissau 0 1000 t 2023 flat
143 Grenada 0 1000 t 2023 flat
143 Haiti 0 1000 t 2023 flat
143 Kiribati 0 1000 t 2023 flat
143 Saint Kitts and Nevis 0 1000 t 2023 flat
143 Liberia 0 1000 t 2023 flat
143 Saint Lucia 0 1000 t 2023 volatile
143 Lesotho 0 1000 t 2023 flat
143 Madagascar 0 1000 t 2023 flat
143 Marshall Islands 0 1000 t 2023 flat
143 Myanmar 0 1000 t 2023 volatile
143 Malawi 0 1000 t 2023 flat
143 Nauru 0 1000 t 2023 flat
143 Papua New Guinea 0 1000 t 2023 volatile
143 Rwanda 0 1000 t 2023 flat
143 Solomon Islands 0 1000 t 2023 flat
143 Sierra Leone 0 1000 t 2023 flat
143 Sao Tome and Principe 0 1000 t 2023 flat
143 Suriname 0 1000 t 2023 flat
143 Tonga 0 1000 t 2023 flat
143 Tuvalu 0 1000 t 2023 flat
143 Uganda 0 1000 t 2023 flat
143 Vanuatu 0 1000 t 2023 flat
143 Samoa 0 1000 t 2023 flat
143 Zambia 0 1000 t 2023 flat
143 Zimbabwe 0 1000 t 2023 volatile
143 Micronesia 0 1000 t 2023 flat
143 Timor-Leste 0 1000 t 2023 volatile
143 Cabo Verde 0 1000 t 2023 flat
143 Democratic Republic of the Congo 0 1000 t 2023 volatile
143 Bolivia (Plurinational State of) 0 1000 t 2023 down 100.0% volatile
143 Democratic People's Republic of Korea 0 1000 t 2018 volatile
143 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
Treenuts — 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, 2,887 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.