Coconut Oil — Production 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 — Production is currently reported for 63 countries. The highest value is 1,245 1000 t in Philippines; the lowest is 0 1000 t in Belgium.
The median across all reporting countries is 5 1000 t, and the mean is 52.17 1000 t.
Over the past decade 17 countries rose and 23 fell. The largest increase was in Brazil (up 600.0%), and the largest decrease in Australia and New Zealand (down 100.0%).
Coconut Oil — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Philippines | 1,245 1000 t | 2023 | down 16.6% | falling |
| 2 | Indonesia | 646 1000 t | 2023 | down 29.8% | falling |
| 3 | India | 368 1000 t | 2023 | down 2.1% | falling |
| 4 | Viet Nam | 182 1000 t | 2023 | up 31.9% | rising |
| 4 | Vietnam | 182 1000 t | 2023 | up 31.9% | rising |
| 6 | Mexico | 131 1000 t | 2023 | up 1.6% | flat |
| 7 | Melanesia | 62 1000 t | 2023 | up 12.7% | falling |
| 8 | Malaysia | 56 1000 t | 2023 | up 5.7% | rising |
| 9 | Papua New Guinea | 44 1000 t | 2023 | up 22.2% | falling |
| 10 | Sri Lanka | 43 1000 t | 2023 | down 4.4% | rising |
| 11 | Bangladesh | 29 1000 t | 2023 | up 61.1% | rising |
| 11 | Thailand | 29 1000 t | 2023 | unchanged | flat |
| 13 | Mozambique | 27 1000 t | 2023 | up 50.0% | rising |
| 14 | Caribbean | 24 1000 t | 2023 | up 20.0% | rising |
| 15 | Côte d'Ivoire | 15 1000 t | 2023 | down 16.7% | falling |
| 15 | Polynesia | 15 1000 t | 2023 | up 36.4% | rising |
| 15 | Cote d'Ivoire | 15 1000 t | 2023 | down 16.7% | falling |
| 15 | United Republic of Tanzania | 15 1000 t | 2023 | up 15.4% | falling |
| 19 | Jamaica | 14 1000 t | 2023 | up 75.0% | rising |
| 19 | Brazil | 14 1000 t | 2023 | up 600.0% | volatile |
| 21 | Micronesia | 13 1000 t | 2023 | up 160.0% | volatile |
| 22 | Cambodia | 11 1000 t | 2023 | unchanged | rising |
| 23 | Venezuela (Bolivarian Republic of) | 10 1000 t | 2023 | unchanged | rising |
| 24 | Solomon Islands | 9 1000 t | 2023 | up 125.0% | rising |
| 25 | Dominican Republic | 7 1000 t | 2023 | unchanged | flat |
| 25 | Nigeria | 7 1000 t | 2023 | down 30.0% | falling |
| 25 | Pakistan | 7 1000 t | 2023 | up 40.0% | rising |
| 28 | Tonga | 6 1000 t | 2023 | — | rising |
| 28 | Ghana | 6 1000 t | 2023 | down 33.3% | falling |
| 30 | Fiji | 5 1000 t | 2023 | unchanged | falling |
| 30 | Guinea-Bissau | 5 1000 t | 2023 | down 16.7% | falling |
| 30 | Vanuatu | 5 1000 t | 2023 | down 44.4% | falling |
| 30 | Kiribati | 5 1000 t | 2023 | unchanged | rising |
| 30 | Marshall Islands | 5 1000 t | 2023 | — | rising |
| 35 | Samoa | 4 1000 t | 2023 | down 20.0% | falling |
| 35 | Micronesia (Federated States of) | 4 1000 t | 2023 | — | flat |
| 35 | Madagascar | 4 1000 t | 2023 | down 42.9% | falling |
| 35 | French Polynesia | 4 1000 t | 2023 | down 33.3% | falling |
| 39 | Kenya | 3 1000 t | 2023 | unchanged | rising |
| 40 | Guinea | 2 1000 t | 2023 | up 100.0% | rising |
| 40 | Ecuador | 2 1000 t | 2023 | unchanged | falling |
| 42 | Grenada | 1 1000 t | 2023 | — | volatile |
| 42 | Cameroon | 1 1000 t | 2023 | unchanged | flat |
| 42 | Trinidad and Tobago | 1 1000 t | 2023 | down 50.0% | flat |
| 42 | El Salvador | 1 1000 t | 2023 | unchanged | falling |
| 42 | Nepal | 1 1000 t | 2023 | — | volatile |
| 42 | Saint Kitts and Nevis | 1 1000 t | 2023 | — | volatile |
| 42 | Honduras | 1 1000 t | 2023 | unchanged | flat |
| 49 | Australia and New Zealand | 0 1000 t | 2018 | down 100.0% | volatile |
| 49 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | East Timor | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | Poland | 0 1000 t | 2020 | — | volatile |
| 49 | Panama | 0 1000 t | 2023 | — | volatile |
| 49 | Norway | 0 1000 t | 2023 | — | volatile |
| 49 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | Italy | 0 1000 t | 2023 | — | volatile |
| 49 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 49 | Comoros | 0 1000 t | 2023 | down 100.0% | volatile |
| 49 | Belgium | 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 2,978 1000 t
- Asia 2,618 1000 t
- South-Eastern Asia 2,169 1000 t
- Southern Asia 448 1000 t
- Net Food Importing Developing Countries (NFIDCs) 223 1000 t
- Americas 184 1000 t
- Central America 133 1000 t
- Small island developing States (SIDS) 120 1000 t
- Least Developed Countries (LDCs) 110 1000 t
- Oceania 90 1000 t
- Africa 87 1000 t
- Low Income Food Deficit Countries (LIFDCs) 60 1000 t
- Eastern Africa 48 1000 t
- Western Africa 38 1000 t
- South America 26 1000 t
- Middle Africa 1 1000 t
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Northern Europe 0 1000 t
- European Union (27) 0 1000 t
- Europe 0 1000 t
- Southern Europe 0 1000 t
- Eastern Europe 0 1000 t
- Western Europe 0 1000 t
- Eastern Asia 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.