Coconuts - Incl Copra — 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
Coconuts - Incl Copra — Export quantity is currently reported for 95 countries. The highest value is 1,554 1000 t in Indonesia; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 3 1000 t, and the mean is 54.17 1000 t.
Over the past decade 24 countries rose and 30 fell. The largest increase was in Ghana (up 1,250.0%), and the largest decrease in Greece (down 100.0%).
Coconuts - Incl Copra — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 1,554 1000 t | 2023 | up 108.3% | rising |
| 2 | Thailand | 661 1000 t | 2023 | up 966.1% | volatile |
| 3 | Philippines | 539 1000 t | 2023 | down 7.5% | rising |
| 4 | Vietnam | 421 1000 t | 2023 | up 207.3% | rising |
| 4 | Viet Nam | 421 1000 t | 2023 | up 207.3% | rising |
| 6 | Sri Lanka | 232 1000 t | 2023 | up 40.6% | flat |
| 7 | India | 211 1000 t | 2023 | up 27.9% | flat |
| 8 | Netherlands (Kingdom of the) | 162 1000 t | 2023 | up 100.0% | rising |
| 9 | Melanesia | 140 1000 t | 2023 | down 36.1% | flat |
| 10 | Papua New Guinea | 78 1000 t | 2023 | down 28.4% | rising |
| 11 | Malaysia | 63 1000 t | 2023 | down 32.3% | falling |
| 12 | Caribbean | 59 1000 t | 2023 | down 37.2% | volatile |
| 13 | Dominican Republic | 58 1000 t | 2023 | down 37.6% | volatile |
| 14 | Cote d'Ivoire | 51 1000 t | 2023 | down 8.9% | volatile |
| 14 | Côte d'Ivoire | 51 1000 t | 2023 | down 8.9% | volatile |
| 16 | United Arab Emirates | 49 1000 t | 2023 | up 880.0% | volatile |
| 17 | France | 44 1000 t | 2023 | up 388.9% | volatile |
| 18 | Germany | 43 1000 t | 2023 | up 26.5% | rising |
| 19 | Vanuatu | 37 1000 t | 2023 | down 47.1% | falling |
| 20 | Mexico | 33 1000 t | 2023 | up 10.0% | falling |
| 21 | Ghana | 27 1000 t | 2023 | up 1,250.0% | volatile |
| 22 | Solomon Islands | 26 1000 t | 2023 | down 35.0% | volatile |
| 23 | Costa Rica | 24 1000 t | 2023 | up 140.0% | rising |
| 24 | United States | 12 1000 t | 2023 | down 20.0% | volatile |
| 24 | Venezuela (Bolivarian Republic of) | 12 1000 t | 2023 | up 71.4% | volatile |
| 26 | Spain | 11 1000 t | 2023 | up 57.1% | volatile |
| 27 | Guyana | 10 1000 t | 2023 | down 37.5% | falling |
| 28 | Canada | 7 1000 t | 2023 | up 16.7% | rising |
| 29 | China | 6 1000 t | 2023 | up 200.0% | volatile |
| 29 | East Timor | 6 1000 t | 2023 | — | volatile |
| 29 | Turkey | 6 1000 t | 2023 | — | volatile |
| 29 | Timor-Leste | 6 1000 t | 2023 | — | volatile |
| 29 | Türkiye | 6 1000 t | 2023 | — | volatile |
| 34 | United Kingdom | 5 1000 t | 2023 | down 16.7% | falling |
| 34 | Slovakia | 5 1000 t | 2023 | up 400.0% | rising |
| 34 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | down 16.7% | falling |
| 37 | Guatemala | 4 1000 t | 2023 | up 300.0% | volatile |
| 37 | Saudi Arabia | 4 1000 t | 2023 | — | volatile |
| 37 | China, Hong Kong SAR | 4 1000 t | 2023 | up 300.0% | volatile |
| 40 | Austria | 3 1000 t | 2023 | up 50.0% | rising |
| 40 | Belgium | 3 1000 t | 2023 | down 95.2% | volatile |
| 40 | Belize | 3 1000 t | 2023 | — | volatile |
| 40 | Egypt | 3 1000 t | 2023 | down 90.0% | volatile |
| 40 | Kiribati | 3 1000 t | 2023 | up 50.0% | volatile |
| 40 | Myanmar | 3 1000 t | 2023 | — | volatile |
| 40 | Nicaragua | 3 1000 t | 2023 | — | volatile |
| 40 | South Africa | 3 1000 t | 2023 | up 200.0% | rising |
| 40 | Micronesia | 3 1000 t | 2023 | up 50.0% | volatile |
| 49 | Peru | 2 1000 t | 2023 | unchanged | rising |
| 49 | Poland | 2 1000 t | 2023 | down 33.3% | volatile |
| 49 | China, mainland | 2 1000 t | 2023 | — | volatile |
| 52 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 52 | Bangladesh | 1 1000 t | 2023 | down 87.5% | volatile |
| 52 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 52 | Brazil | 1 1000 t | 2023 | down 85.7% | volatile |
| 52 | Czechia | 1 1000 t | 2023 | down 75.0% | falling |
| 52 | Denmark | 1 1000 t | 2023 | unchanged | rising |
| 52 | Gambia | 1 1000 t | 2021 | — | volatile |
| 52 | Hungary | 1 1000 t | 2023 | unchanged | rising |
| 52 | Italy | 1 1000 t | 2023 | unchanged | volatile |
| 52 | Lithuania | 1 1000 t | 2023 | down 50.0% | falling |
| 52 | Mozambique | 1 1000 t | 2023 | unchanged | volatile |
| 52 | Portugal | 1 1000 t | 2023 | unchanged | flat |
| 52 | Russia | 1 1000 t | 2023 | — | volatile |
| 52 | Serbia | 1 1000 t | 2023 | unchanged | volatile |
| 52 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | — | volatile |
| 52 | Samoa | 1 1000 t | 2023 | down 90.9% | volatile |
| 52 | Polynesia | 1 1000 t | 2023 | down 90.9% | volatile |
| 52 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 52 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 52 | Australia and New Zealand | 1 1000 t | 2023 | — | falling |
| 72 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 72 | Australia | 0 1000 t | 2023 | — | volatile |
| 72 | Chile | 0 1000 t | 2023 | — | volatile |
| 72 | Colombia | 0 1000 t | 2023 | — | volatile |
| 72 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 72 | Fiji | 0 1000 t | 2023 | — | volatile |
| 72 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 72 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 72 | Laos | 0 1000 t | 2023 | — | volatile |
| 72 | Latvia | 0 1000 t | 2023 | — | volatile |
| 72 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 72 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 72 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Panama | 0 1000 t | 2022 | down 100.0% | volatile |
| 72 | Qatar | 0 1000 t | 2023 | — | volatile |
| 72 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 72 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | falling |
| 72 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Uganda | 0 1000 t | 2023 | — | volatile |
| 72 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 72 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,449 1000 t
- Asia 3,758 1000 t
- South-Eastern Asia 3,247 1000 t
- Southern Asia 446 1000 t
- Net Food Importing Developing Countries (NFIDCs) 401 1000 t
- Europe 287 1000 t
- European Union (27) 280 1000 t
- Western Europe 254 1000 t
- Small island developing States (SIDS) 222 1000 t
- Americas 172 1000 t
- Oceania 145 1000 t
- Africa 87 1000 t
- Western Africa 79 1000 t
- Central America 68 1000 t
- Western Asia 59 1000 t
- Least Developed Countries (LDCs) 41 1000 t
- South America 25 1000 t
- Northern America 20 1000 t
- Southern Europe 14 1000 t
- United States of America 12 1000 t
- Eastern Europe 11 1000 t
- Northern Europe 8 1000 t
- Eastern Asia 6 1000 t
- Low Income Food Deficit Countries (LIFDCs) 6 1000 t
- Northern Africa 3 1000 t
- Southern Africa 3 1000 t
- Eastern Africa 2 1000 t
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Central Asia 0 1000 t
- Middle Africa 0 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.