Coconuts - Incl Copra — 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...
What the numbers show
Coconuts - Incl Copra — Import quantity is currently reported for 178 countries. The highest value is 1,401 1000 t in China; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 1.5 1000 t, and the mean is 31.78 1000 t.
Over the past decade 51 countries rose and 27 fell. The largest increase was in Mexico (up 2,000.0%), and the largest decrease in Angola (down 100.0%).
Coconuts - Incl Copra — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,401 1000 t | 2023 | up 511.8% | volatile |
| 2 | China, mainland | 1,374 1000 t | 2023 | up 548.1% | volatile |
| 3 | Malaysia | 316 1000 t | 2023 | up 280.7% | rising |
| 4 | Bangladesh | 212 1000 t | 2023 | up 216.4% | volatile |
| 5 | Netherlands (Kingdom of the) | 174 1000 t | 2023 | up 70.6% | rising |
| 6 | Thailand | 156 1000 t | 2023 | up 200.0% | volatile |
| 7 | United Arab Emirates | 137 1000 t | 2023 | up 73.4% | rising |
| 8 | Caribbean | 109 1000 t | 2023 | up 1,716.7% | volatile |
| 9 | Dominican Republic | 107 1000 t | 2023 | up 463.2% | volatile |
| 10 | Germany | 95 1000 t | 2023 | up 17.3% | rising |
| 10 | Pakistan | 95 1000 t | 2023 | down 20.8% | flat |
| 12 | Philippines | 94 1000 t | 2023 | down 38.2% | falling |
| 13 | United Kingdom of Great Britain and Northern Ireland | 84 1000 t | 2023 | up 7.7% | rising |
| 14 | Türkiye | 78 1000 t | 2023 | up 32.2% | rising |
| 15 | Iran (Islamic Republic of) | 71 1000 t | 2023 | up 373.3% | flat |
| 16 | Canada | 70 1000 t | 2023 | up 29.6% | rising |
| 17 | Russian Federation | 66 1000 t | 2023 | up 4.8% | rising |
| 18 | India | 63 1000 t | 2023 | — | volatile |
| 19 | Australia and New Zealand | 62 1000 t | 2023 | down 4.6% | rising |
| 20 | Brazil | 58 1000 t | 2023 | down 10.8% | rising |
| 21 | Australia | 50 1000 t | 2023 | down 9.1% | flat |
| 22 | Poland | 49 1000 t | 2023 | up 14.0% | rising |
| 23 | France | 42 1000 t | 2023 | up 16.7% | rising |
| 24 | Spain | 37 1000 t | 2023 | up 60.9% | rising |
| 25 | Iraq | 36 1000 t | 2023 | up 1,700.0% | volatile |
| 26 | Belgium | 35 1000 t | 2023 | down 63.5% | falling |
| 27 | Egypt | 30 1000 t | 2023 | down 31.8% | falling |
| 28 | Viet Nam | 29 1000 t | 2023 | — | volatile |
| 29 | Saudi Arabia | 28 1000 t | 2023 | up 21.7% | rising |
| 30 | Indonesia | 26 1000 t | 2023 | up 766.7% | volatile |
| 31 | Afghanistan | 22 1000 t | 2023 | — | volatile |
| 31 | Nepal | 22 1000 t | 2023 | up 46.7% | rising |
| 33 | Mexico | 21 1000 t | 2023 | up 2,000.0% | volatile |
| 34 | Italy | 20 1000 t | 2023 | down 4.8% | falling |
| 35 | Argentina | 19 1000 t | 2023 | up 90.0% | rising |
| 36 | Morocco | 18 1000 t | 2023 | up 500.0% | volatile |
| 36 | China, Hong Kong SAR | 18 1000 t | 2023 | up 38.5% | rising |
| 38 | Republic of Korea | 17 1000 t | 2023 | down 37.0% | rising |
| 39 | Czechia | 15 1000 t | 2023 | up 36.4% | rising |
| 40 | Senegal | 14 1000 t | 2023 | down 46.2% | rising |
| 41 | Austria | 12 1000 t | 2023 | up 50.0% | rising |
| 41 | Nigeria | 12 1000 t | 2023 | up 71.4% | volatile |
| 41 | New Zealand | 12 1000 t | 2023 | up 20.0% | rising |
| 44 | Oman | 11 1000 t | 2023 | unchanged | rising |
| 44 | Portugal | 11 1000 t | 2023 | up 10.0% | flat |
| 44 | Qatar | 11 1000 t | 2023 | — | rising |
| 44 | Ukraine | 11 1000 t | 2023 | up 22.2% | rising |
| 48 | Colombia | 10 1000 t | 2023 | up 42.9% | rising |
| 48 | Jordan | 10 1000 t | 2023 | up 66.7% | rising |
| 50 | Chile | 8 1000 t | 2023 | up 14.3% | rising |
| 50 | Denmark | 8 1000 t | 2023 | down 27.3% | falling |
| 50 | Sweden | 8 1000 t | 2023 | up 33.3% | rising |
| 53 | Guinea | 7 1000 t | 2023 | — | volatile |
| 53 | China, Taiwan Province of | 7 1000 t | 2023 | up 75.0% | rising |
| 55 | Switzerland | 6 1000 t | 2023 | unchanged | rising |
| 55 | Israel | 6 1000 t | 2023 | down 14.3% | rising |
| 55 | Kuwait | 6 1000 t | 2023 | down 45.5% | rising |
| 55 | Romania | 6 1000 t | 2023 | up 50.0% | rising |
| 55 | Slovakia | 6 1000 t | 2023 | up 20.0% | rising |
| 60 | Bahrain | 5 1000 t | 2023 | — | rising |
| 60 | Greece | 5 1000 t | 2023 | unchanged | falling |
| 60 | Hungary | 5 1000 t | 2023 | down 37.5% | rising |
| 60 | Ireland | 5 1000 t | 2023 | up 150.0% | rising |
| 60 | El Salvador | 5 1000 t | 2023 | up 150.0% | rising |
| 60 | Syrian Arab Republic | 5 1000 t | 2023 | up 400.0% | volatile |
| 60 | Côte d'Ivoire | 5 1000 t | 2023 | — | volatile |
| 67 | Fiji | 4 1000 t | 2023 | up 300.0% | volatile |
| 67 | Libya | 4 1000 t | 2023 | up 100.0% | volatile |
| 67 | Niger | 4 1000 t | 2023 | down 78.9% | falling |
| 67 | Melanesia | 4 1000 t | 2023 | up 300.0% | volatile |
| 71 | Burkina Faso | 3 1000 t | 2023 | up 200.0% | volatile |
| 71 | Bulgaria | 3 1000 t | 2023 | down 25.0% | falling |
| 71 | Algeria | 3 1000 t | 2023 | unchanged | falling |
| 71 | Lebanon | 3 1000 t | 2023 | up 50.0% | falling |
| 71 | Lithuania | 3 1000 t | 2023 | unchanged | flat |
| 71 | Serbia | 3 1000 t | 2023 | unchanged | flat |
| 71 | Uruguay | 3 1000 t | 2023 | down 62.5% | volatile |
| 71 | Yemen | 3 1000 t | 2023 | unchanged | volatile |
| 71 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | up 200.0% | rising |
| 71 | China, Macao SAR | 3 1000 t | 2023 | — | volatile |
| 81 | Azerbaijan | 2 1000 t | 2023 | — | volatile |
| 81 | Costa Rica | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Ecuador | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Croatia | 2 1000 t | 2023 | up 100.0% | volatile |
| 81 | Cambodia | 2 1000 t | 2023 | down 50.0% | volatile |
| 81 | Maldives | 2 1000 t | 2023 | — | volatile |
| 81 | Mauritius | 2 1000 t | 2023 | unchanged | falling |
| 81 | Norway | 2 1000 t | 2023 | down 33.3% | falling |
| 81 | Peru | 2 1000 t | 2023 | unchanged | falling |
| 90 | Albania | 1 1000 t | 2023 | — | volatile |
| 90 | Armenia | 1 1000 t | 2023 | — | volatile |
| 90 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 90 | Barbados | 1 1000 t | 2023 | — | volatile |
| 90 | Bhutan | 1 1000 t | 2023 | — | volatile |
| 90 | Cyprus | 1 1000 t | 2023 | unchanged | rising |
| 90 | Finland | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Georgia | 1 1000 t | 2023 | — | volatile |
| 90 | Ghana | 1 1000 t | 2023 | — | volatile |
| 90 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 90 | Iceland | 1 1000 t | 2023 | — | volatile |
| 90 | Kazakhstan | 1 1000 t | 2023 | unchanged | rising |
| 90 | Kenya | 1 1000 t | 2023 | — | volatile |
| 90 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 90 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 90 | Paraguay | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Slovenia | 1 1000 t | 2023 | down 50.0% | falling |
| 90 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 90 | Zambia | 1 1000 t | 2023 | — | volatile |
| 90 | Cabo Verde | 1 1000 t | 2023 | — | volatile |
| 110 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 110 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 110 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Belize | 0 1000 t | 2023 | — | flat |
| 110 | Botswana | 0 1000 t | 2023 | — | flat |
| 110 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 110 | Congo | 0 1000 t | 2023 | — | flat |
| 110 | Comoros | 0 1000 t | 2023 | — | flat |
| 110 | Cuba | 0 1000 t | 2019 | — | flat |
| 110 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 110 | Estonia | 0 1000 t | 2023 | — | flat |
| 110 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 110 | Gabon | 0 1000 t | 2023 | — | flat |
| 110 | Gambia | 0 1000 t | 2023 | — | flat |
| 110 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 110 | Grenada | 0 1000 t | 2023 | — | flat |
| 110 | Guyana | 0 1000 t | 2023 | — | flat |
| 110 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Jamaica | 0 1000 t | 2023 | — | flat |
| 110 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 110 | Kiribati | 0 1000 t | 2023 | — | flat |
| 110 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 110 | Liberia | 0 1000 t | 2023 | — | flat |
| 110 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 110 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 110 | Lesotho | 0 1000 t | 2023 | — | flat |
| 110 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 110 | Madagascar | 0 1000 t | 2023 | — | flat |
| 110 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 110 | Malta | 0 1000 t | 2023 | — | volatile |
| 110 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 110 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 110 | Mongolia | 0 1000 t | 2023 | — | flat |
| 110 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 110 | Mauritania | 0 1000 t | 2022 | — | flat |
| 110 | Malawi | 0 1000 t | 2023 | — | flat |
| 110 | Namibia | 0 1000 t | 2023 | — | volatile |
| 110 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 110 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 110 | Panama | 0 1000 t | 2023 | — | flat |
| 110 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 110 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 110 | Rwanda | 0 1000 t | 2023 | — | flat |
| 110 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 110 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 110 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 110 | Suriname | 0 1000 t | 2023 | — | flat |
| 110 | Eswatini | 0 1000 t | 2023 | — | flat |
| 110 | Seychelles | 0 1000 t | 2023 | — | flat |
| 110 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 110 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 110 | Tonga | 0 1000 t | 2023 | — | flat |
| 110 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Uganda | 0 1000 t | 2023 | — | flat |
| 110 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 110 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 110 | Samoa | 0 1000 t | 2023 | — | flat |
| 110 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 110 | Micronesia | 0 1000 t | 2023 | — | flat |
| 110 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 110 | Polynesia | 0 1000 t | 2023 | — | flat |
| 110 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 110 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 110 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 110 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 110 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,396 1000 t
- Asia 2,895 1000 t
- Eastern Asia 1,437 1000 t
- Europe 719 1000 t
- South-eastern Asia 623 1000 t
- Net Food Importing Developing Countries (NFIDCs) 581 1000 t
- Americas 575 1000 t
- European Union (27) 545 1000 t
- Southern Asia 487 1000 t
- Western Europe 363 1000 t
- Western Asia 345 1000 t
- Northern America 331 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.