Coconut Oil — 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
Coconut Oil — Export quantity is currently reported for 62 countries. The highest value is 1,129 1000 t in Philippines; the lowest is 0 1000 t in Paraguay.
The median across all reporting countries is 1 1000 t, and the mean is 40.94 1000 t.
Over the past decade 18 countries rose and 16 fell. The largest increase was in Sweden (up 500.0%), and the largest decrease in Vanuatu (down 100.0%).
Coconut Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Philippines | 1,129 1000 t | 2023 | up 4.4% | rising |
| 2 | Indonesia | 740 1000 t | 2023 | up 17.3% | flat |
| 3 | Netherlands (Kingdom of the) | 186 1000 t | 2023 | down 17.3% | rising |
| 4 | Malaysia | 166 1000 t | 2023 | up 26.7% | rising |
| 5 | Melanesia | 43 1000 t | 2023 | up 65.4% | falling |
| 6 | Papua New Guinea | 35 1000 t | 2023 | up 118.8% | flat |
| 7 | Spain | 29 1000 t | 2023 | up 262.5% | volatile |
| 8 | Germany | 27 1000 t | 2023 | up 58.8% | rising |
| 9 | Italy | 23 1000 t | 2023 | up 283.3% | volatile |
| 10 | Sri Lanka | 21 1000 t | 2023 | up 425.0% | volatile |
| 11 | United States | 20 1000 t | 2023 | down 20.0% | falling |
| 12 | India | 16 1000 t | 2023 | up 128.6% | volatile |
| 13 | Türkiye | 12 1000 t | 2023 | — | volatile |
| 13 | Turkey | 12 1000 t | 2023 | — | volatile |
| 15 | Vietnam | 7 1000 t | 2023 | up 250.0% | volatile |
| 15 | Viet Nam | 7 1000 t | 2023 | up 250.0% | volatile |
| 17 | Canada | 6 1000 t | 2023 | up 50.0% | rising |
| 17 | Sweden | 6 1000 t | 2023 | up 500.0% | volatile |
| 17 | Solomon Islands | 6 1000 t | 2023 | up 200.0% | volatile |
| 20 | Polynesia | 5 1000 t | 2023 | down 44.4% | falling |
| 20 | France | 5 1000 t | 2023 | up 66.7% | rising |
| 22 | French Polynesia | 4 1000 t | 2023 | down 33.3% | falling |
| 22 | Belgium | 4 1000 t | 2023 | up 300.0% | rising |
| 22 | Greece | 4 1000 t | 2023 | — | volatile |
| 25 | Cote d'Ivoire | 3 1000 t | 2023 | down 50.0% | falling |
| 25 | Côte d'Ivoire | 3 1000 t | 2023 | down 50.0% | falling |
| 27 | Slovenia | 2 1000 t | 2023 | — | volatile |
| 27 | Fiji | 2 1000 t | 2023 | up 100.0% | falling |
| 29 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 29 | Micronesia | 1 1000 t | 2023 | down 66.7% | volatile |
| 29 | Caribbean | 1 1000 t | 2023 | unchanged | rising |
| 29 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 29 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 29 | Kiribati | 1 1000 t | 2023 | down 66.7% | volatile |
| 29 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 29 | Czechia | 1 1000 t | 2023 | — | volatile |
| 29 | United Kingdom | 1 1000 t | 2023 | — | volatile |
| 29 | Samoa | 1 1000 t | 2023 | down 66.7% | volatile |
| 29 | Mozambique | 1 1000 t | 2023 | down 50.0% | volatile |
| 29 | Poland | 1 1000 t | 2023 | — | volatile |
| 29 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 29 | Thailand | 1 1000 t | 2023 | unchanged | volatile |
| 29 | Russia | 1 1000 t | 2023 | — | volatile |
| 44 | Guyana | 0 1000 t | 2023 | — | volatile |
| 44 | Vanuatu | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Australia | 0 1000 t | 2023 | — | volatile |
| 44 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 44 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Georgia | 0 1000 t | 2023 | — | volatile |
| 44 | Ghana | 0 1000 t | 2023 | — | volatile |
| 44 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 44 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 44 | Honduras | 0 1000 t | 2023 | — | volatile |
| 44 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 44 | Mexico | 0 1000 t | 2023 | — | volatile |
| 44 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 44 | Oman | 0 1000 t | 2023 | — | volatile |
| 44 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Paraguay | 0 1000 t | 2017 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,469 1000 t
- Asia 2,094 1000 t
- South-Eastern Asia 2,043 1000 t
- Europe 293 1000 t
- European Union (27) 291 1000 t
- Western Europe 223 1000 t
- Southern Europe 59 1000 t
- Oceania 50 1000 t
- Small island developing States (SIDS) 50 1000 t
- Southern Asia 37 1000 t
- Net Food Importing Developing Countries (NFIDCs) 36 1000 t
- Americas 27 1000 t
- Northern America 25 1000 t
- United States of America 20 1000 t
- Western Asia 13 1000 t
- Least Developed Countries (LDCs) 9 1000 t
- Northern Europe 8 1000 t
- Africa 6 1000 t
- Western Africa 4 1000 t
- Eastern Europe 3 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2 1000 t
- Eastern Africa 1 1000 t
- South America 1 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Central America 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.