Nuts and products — 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...
What the numbers show
Nuts and products — Export quantity is currently reported for 172 countries. The highest value is 1,637 1000 t in Viet Nam; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 4 1000 t, and the mean is 83.44 1000 t.
Over the past decade 69 countries rose and 31 fell. The largest increase was in Senegal (up 4,000.0%), and the largest decrease in Belarus (down 100.0%).
Nuts and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 1,637 1000 t | 2023 | up 87.5% | rising |
| 2 | Netherlands (Kingdom of the) | 1,342 1000 t | 2023 | up 106.5% | rising |
| 3 | Côte d'Ivoire | 1,159 1000 t | 2023 | up 158.7% | rising |
| 4 | United Arab Emirates | 1,091 1000 t | 2023 | up 2,697.4% | volatile |
| 5 | Germany | 1,079 1000 t | 2023 | up 130.6% | rising |
| 6 | Ghana | 948 1000 t | 2023 | up 130.1% | volatile |
| 7 | Türkiye | 724 1000 t | 2023 | up 40.9% | rising |
| 8 | China | 527 1000 t | 2023 | down 19.8% | falling |
| 9 | Spain | 512 1000 t | 2023 | up 70.7% | rising |
| 10 | China, mainland | 487 1000 t | 2023 | up 176.7% | rising |
| 11 | India | 356 1000 t | 2023 | down 27.0% | falling |
| 12 | Italy | 264 1000 t | 2023 | up 74.8% | rising |
| 13 | Australia and New Zealand | 248 1000 t | 2023 | up 110.2% | rising |
| 14 | Australia | 245 1000 t | 2023 | up 114.9% | rising |
| 14 | Belgium | 245 1000 t | 2023 | up 24.4% | rising |
| 16 | Chile | 243 1000 t | 2023 | up 232.9% | rising |
| 17 | United Republic of Tanzania | 231 1000 t | 2023 | up 36.7% | rising |
| 18 | Indonesia | 220 1000 t | 2023 | down 24.1% | falling |
| 19 | Mexico | 168 1000 t | 2023 | up 95.3% | rising |
| 20 | Burkina Faso | 136 1000 t | 2023 | up 22.5% | rising |
| 21 | Canada | 134 1000 t | 2023 | up 91.4% | rising |
| 22 | Sri Lanka | 124 1000 t | 2023 | up 327.6% | volatile |
| 23 | France | 119 1000 t | 2023 | up 50.6% | rising |
| 24 | Kyrgyzstan | 107 1000 t | 2023 | up 1,088.9% | volatile |
| 25 | Nigeria | 101 1000 t | 2023 | down 56.8% | volatile |
| 26 | Thailand | 94 1000 t | 2023 | up 42.4% | rising |
| 27 | Mozambique | 87 1000 t | 2023 | up 335.0% | volatile |
| 28 | Senegal | 82 1000 t | 2023 | up 4,000.0% | volatile |
| 29 | Iran (Islamic Republic of) | 81 1000 t | 2023 | up 35.0% | falling |
| 30 | Guinea | 80 1000 t | 2023 | up 142.4% | volatile |
| 31 | Luxembourg | 68 1000 t | 2023 | up 19.3% | rising |
| 32 | Guinea-Bissau | 66 1000 t | 2023 | down 66.3% | falling |
| 32 | Malaysia | 66 1000 t | 2023 | up 46.7% | rising |
| 34 | Portugal | 65 1000 t | 2023 | up 209.5% | rising |
| 35 | Brazil | 60 1000 t | 2023 | down 36.8% | falling |
| 36 | Austria | 59 1000 t | 2023 | up 34.1% | rising |
| 37 | Caribbean | 57 1000 t | 2023 | up 2,750.0% | volatile |
| 38 | Dominican Republic | 56 1000 t | 2023 | — | volatile |
| 39 | Israel | 53 1000 t | 2023 | down 20.9% | volatile |
| 40 | Azerbaijan | 47 1000 t | 2023 | up 113.6% | rising |
| 41 | Georgia | 45 1000 t | 2023 | up 15.4% | rising |
| 42 | Ukraine | 43 1000 t | 2023 | down 21.8% | falling |
| 43 | Bolivia (Plurinational State of) | 41 1000 t | 2023 | up 13.9% | rising |
| 44 | United Kingdom of Great Britain and Northern Ireland | 40 1000 t | 2023 | down 65.8% | falling |
| 45 | Poland | 38 1000 t | 2023 | up 123.5% | rising |
| 45 | China, Hong Kong SAR | 38 1000 t | 2023 | down 91.8% | volatile |
| 47 | Czechia | 37 1000 t | 2023 | up 54.2% | rising |
| 48 | Greece | 36 1000 t | 2023 | up 100.0% | rising |
| 49 | Lithuania | 33 1000 t | 2023 | up 57.1% | rising |
| 50 | Gambia | 32 1000 t | 2023 | up 300.0% | volatile |
| 51 | Kazakhstan | 30 1000 t | 2023 | up 650.0% | volatile |
| 52 | Slovakia | 29 1000 t | 2023 | up 163.6% | rising |
| 53 | Myanmar | 28 1000 t | 2023 | up 833.3% | volatile |
| 54 | Afghanistan | 26 1000 t | 2023 | up 116.7% | rising |
| 55 | Republic of Moldova | 21 1000 t | 2023 | up 10.5% | rising |
| 56 | Denmark | 19 1000 t | 2023 | up 11.8% | rising |
| 56 | Romania | 19 1000 t | 2023 | down 17.4% | falling |
| 56 | Sweden | 19 1000 t | 2023 | up 18.8% | rising |
| 56 | Republic of Korea | 19 1000 t | 2023 | unchanged | rising |
| 56 | Russian Federation | 19 1000 t | 2023 | down 26.9% | rising |
| 61 | Cambodia | 18 1000 t | 2023 | up 1,700.0% | volatile |
| 61 | Uzbekistan | 18 1000 t | 2023 | up 200.0% | rising |
| 63 | Kenya | 17 1000 t | 2023 | up 142.9% | rising |
| 64 | Hungary | 11 1000 t | 2023 | unchanged | rising |
| 64 | Latvia | 11 1000 t | 2023 | up 175.0% | rising |
| 64 | Syrian Arab Republic | 11 1000 t | 2023 | up 10.0% | rising |
| 67 | Armenia | 10 1000 t | 2023 | up 400.0% | volatile |
| 67 | Jordan | 10 1000 t | 2023 | up 233.3% | volatile |
| 67 | Lebanon | 10 1000 t | 2023 | down 23.1% | falling |
| 67 | Mongolia | 10 1000 t | 2023 | — | volatile |
| 67 | Peru | 10 1000 t | 2023 | up 25.0% | rising |
| 72 | Argentina | 9 1000 t | 2023 | up 28.6% | flat |
| 73 | Bulgaria | 7 1000 t | 2023 | down 53.3% | volatile |
| 73 | Croatia | 7 1000 t | 2023 | up 600.0% | volatile |
| 73 | Norway | 7 1000 t | 2023 | up 75.0% | rising |
| 73 | Saudi Arabia | 7 1000 t | 2023 | up 250.0% | rising |
| 73 | Slovenia | 7 1000 t | 2023 | up 133.3% | volatile |
| 78 | Switzerland | 6 1000 t | 2023 | down 14.3% | rising |
| 78 | Guatemala | 6 1000 t | 2023 | up 100.0% | rising |
| 78 | Philippines | 6 1000 t | 2023 | up 500.0% | volatile |
| 78 | Uruguay | 6 1000 t | 2023 | down 25.0% | volatile |
| 82 | Madagascar | 5 1000 t | 2023 | up 150.0% | volatile |
| 82 | Serbia | 5 1000 t | 2023 | up 66.7% | rising |
| 82 | Eswatini | 5 1000 t | 2023 | — | volatile |
| 82 | Zimbabwe | 5 1000 t | 2023 | up 25.0% | rising |
| 86 | Ireland | 4 1000 t | 2023 | up 300.0% | rising |
| 86 | Malawi | 4 1000 t | 2023 | up 100.0% | rising |
| 86 | New Zealand | 4 1000 t | 2023 | unchanged | rising |
| 89 | Bosnia and Herzegovina | 3 1000 t | 2023 | down 25.0% | volatile |
| 89 | Guyana | 3 1000 t | 2023 | — | volatile |
| 91 | Bangladesh | 2 1000 t | 2023 | down 97.1% | volatile |
| 91 | Egypt | 2 1000 t | 2023 | down 33.3% | volatile |
| 91 | Estonia | 2 1000 t | 2023 | up 100.0% | volatile |
| 91 | Finland | 2 1000 t | 2023 | up 100.0% | rising |
| 91 | Morocco | 2 1000 t | 2023 | down 50.0% | falling |
| 91 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 91 | Pakistan | 2 1000 t | 2023 | unchanged | rising |
| 98 | Albania | 1 1000 t | 2023 | down 75.0% | volatile |
| 98 | Cyprus | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 98 | Jamaica | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Kuwait | 1 1000 t | 2023 | down 66.7% | volatile |
| 98 | North Macedonia | 1 1000 t | 2023 | down 50.0% | volatile |
| 98 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 98 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 98 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 98 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Zambia | 1 1000 t | 2023 | — | volatile |
| 98 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 98 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 98 | China, Taiwan Province of | 1 1000 t | 2023 | down 94.7% | volatile |
| 98 | Democratic People's Republic of Korea | 1 1000 t | 2018 | down 50.0% | volatile |
| 113 | Angola | 0 1000 t | 2023 | — | flat |
| 113 | Antigua and Barbuda | 0 1000 t | 2022 | — | flat |
| 113 | Bahrain | 0 1000 t | 2023 | — | flat |
| 113 | Bahamas | 0 1000 t | 2021 | — | flat |
| 113 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Belize | 0 1000 t | 2023 | — | flat |
| 113 | Barbados | 0 1000 t | 2023 | — | flat |
| 113 | Botswana | 0 1000 t | 2023 | — | flat |
| 113 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 113 | Congo | 0 1000 t | 2023 | — | flat |
| 113 | Colombia | 0 1000 t | 2023 | — | flat |
| 113 | Comoros | 0 1000 t | 2017 | — | flat |
| 113 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Cuba | 0 1000 t | 2018 | — | flat |
| 113 | Algeria | 0 1000 t | 2023 | — | volatile |
| 113 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 113 | Fiji | 0 1000 t | 2023 | — | flat |
| 113 | Gabon | 0 1000 t | 2023 | — | flat |
| 113 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Haiti | 0 1000 t | 2023 | — | flat |
| 113 | Iraq | 0 1000 t | 2023 | — | volatile |
| 113 | Iceland | 0 1000 t | 2023 | — | flat |
| 113 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 113 | Liberia | 0 1000 t | 2023 | — | flat |
| 113 | Libya | 0 1000 t | 2023 | — | flat |
| 113 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 113 | Lesotho | 0 1000 t | 2022 | — | flat |
| 113 | Maldives | 0 1000 t | 2023 | — | flat |
| 113 | Malta | 0 1000 t | 2023 | — | flat |
| 113 | Montenegro | 0 1000 t | 2023 | — | flat |
| 113 | Mauritius | 0 1000 t | 2023 | — | flat |
| 113 | Namibia | 0 1000 t | 2023 | — | volatile |
| 113 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 113 | Niger | 0 1000 t | 2022 | — | flat |
| 113 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Panama | 0 1000 t | 2020 | — | flat |
| 113 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 113 | Paraguay | 0 1000 t | 2023 | — | flat |
| 113 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 113 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 113 | Solomon Islands | 0 1000 t | 2019 | — | flat |
| 113 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 113 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 113 | Suriname | 0 1000 t | 2023 | — | flat |
| 113 | Seychelles | 0 1000 t | 2023 | — | flat |
| 113 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 113 | Tonga | 0 1000 t | 2023 | — | flat |
| 113 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Uganda | 0 1000 t | 2023 | — | volatile |
| 113 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 113 | Vanuatu | 0 1000 t | 2022 | — | flat |
| 113 | Samoa | 0 1000 t | 2022 | — | flat |
| 113 | Yemen | 0 1000 t | 2023 | — | volatile |
| 113 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 113 | Melanesia | 0 1000 t | 2023 | — | flat |
| 113 | Polynesia | 0 1000 t | 2023 | — | flat |
| 113 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 113 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 113 | 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.
- World 16,417 1000 t
- Asia 5,423 1000 t
- Europe 4,182 1000 t
- European Union (27) 4,035 1000 t
- Americas 3,313 1000 t
- Africa 3,250 1000 t
- Western Europe 2,919 1000 t
- Western Africa 2,769 1000 t
- Northern America 2,706 1000 t
- United States of America 2,572 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,368 1000 t
- South-eastern Asia 2,069 1000 t
About this data
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.