Coconut Oil — Other uses (non-food) 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 — Other uses (non-food) is currently reported for 55 countries. The highest value is 334 1000 t in United States; the lowest is 0 1000 t in French Polynesia.
The median across all reporting countries is 3 1000 t, and the mean is 19.05 1000 t.
Over the past decade 17 countries rose and 16 fell. The largest increase was in Micronesia (up 700.0%), and the largest decrease in United Kingdom of Great Britain and Northern Ireland (down 100.0%).
Coconut Oil — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 334 1000 t | 2023 | down 23.2% | falling |
| 2 | Mexico | 120 1000 t | 2023 | up 275.0% | volatile |
| 3 | Germany | 100 1000 t | 2023 | up 400.0% | volatile |
| 4 | Malaysia | 94 1000 t | 2023 | up 25.3% | volatile |
| 5 | Viet Nam | 82 1000 t | 2023 | up 43.9% | rising |
| 5 | Vietnam | 82 1000 t | 2023 | up 43.9% | rising |
| 7 | Netherlands (Kingdom of the) | 64 1000 t | 2023 | up 12.3% | flat |
| 8 | France | 18 1000 t | 2023 | down 43.8% | falling |
| 9 | Italy | 16 1000 t | 2023 | down 50.0% | falling |
| 10 | Russian Federation | 10 1000 t | 2023 | down 76.2% | volatile |
| 10 | Russia | 10 1000 t | 2023 | down 76.2% | volatile |
| 12 | Greece | 9 1000 t | 2023 | up 350.0% | volatile |
| 13 | Micronesia | 8 1000 t | 2023 | up 700.0% | volatile |
| 13 | Pakistan | 8 1000 t | 2023 | unchanged | falling |
| 15 | Bangladesh | 7 1000 t | 2023 | unchanged | falling |
| 15 | Philippines | 7 1000 t | 2023 | down 79.4% | volatile |
| 17 | Tonga | 6 1000 t | 2023 | — | rising |
| 17 | Ukraine | 6 1000 t | 2023 | down 53.8% | falling |
| 17 | Polynesia | 6 1000 t | 2023 | up 500.0% | volatile |
| 20 | Guinea-Bissau | 5 1000 t | 2023 | down 16.7% | falling |
| 20 | Kuwait | 5 1000 t | 2023 | up 400.0% | volatile |
| 20 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | up 25.0% | rising |
| 23 | Marshall Islands | 4 1000 t | 2023 | — | volatile |
| 23 | Denmark | 4 1000 t | 2023 | unchanged | rising |
| 25 | Spain | 3 1000 t | 2023 | up 50.0% | volatile |
| 25 | Canada | 3 1000 t | 2023 | down 25.0% | rising |
| 25 | Czechia | 3 1000 t | 2023 | up 50.0% | rising |
| 25 | Micronesia (Federated States of) | 3 1000 t | 2023 | — | flat |
| 25 | Hungary | 3 1000 t | 2023 | up 50.0% | rising |
| 25 | Romania | 3 1000 t | 2023 | unchanged | falling |
| 25 | Lebanon | 3 1000 t | 2023 | up 50.0% | flat |
| 32 | China, Taiwan Province of | 2 1000 t | 2023 | unchanged | falling |
| 32 | Portugal | 2 1000 t | 2023 | up 100.0% | volatile |
| 32 | Croatia | 2 1000 t | 2023 | unchanged | rising |
| 32 | Thailand | 2 1000 t | 2023 | unchanged | falling |
| 32 | Slovenia | 2 1000 t | 2023 | up 100.0% | rising |
| 32 | China | 2 1000 t | 2023 | unchanged | falling |
| 38 | Bulgaria | 1 1000 t | 2023 | unchanged | rising |
| 38 | Panama | 1 1000 t | 2023 | — | volatile |
| 38 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 38 | Kiribati | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Colombia | 1 1000 t | 2023 | — | rising |
| 43 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2022 | down 100.0% | volatile |
| 43 | Chile | 0 1000 t | 2023 | — | volatile |
| 43 | United Kingdom | 0 1000 t | 2022 | down 100.0% | volatile |
| 43 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 43 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 43 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Fiji | 0 1000 t | 2023 | — | volatile |
| 43 | Saint Lucia | 0 1000 t | 2018 | down 100.0% | volatile |
| 43 | South Africa | 0 1000 t | 2023 | — | volatile |
| 43 | Moldova | 0 1000 t | 2023 | — | volatile |
| 43 | Vanuatu | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Uruguay | 0 1000 t | 2017 | down 100.0% | volatile |
| 43 | French Polynesia | 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 970 1000 t
- Americas 463 1000 t
- Northern America 337 1000 t
- United States of America 334 1000 t
- Europe 249 1000 t
- Asia 237 1000 t
- European Union (27) 233 1000 t
- South-Eastern Asia 185 1000 t
- Western Europe 182 1000 t
- Central America 120 1000 t
- Southern Europe 35 1000 t
- Net Food Importing Developing Countries (NFIDCs) 32 1000 t
- Eastern Asia 30 1000 t
- Eastern Europe 28 1000 t
- Small island developing States (SIDS) 19 1000 t
- Southern Asia 14 1000 t
- Oceania 14 1000 t
- Least Developed Countries (LDCs) 13 1000 t
- Western Asia 8 1000 t
- South America 6 1000 t
- Africa 6 1000 t
- Low Income Food Deficit Countries (LIFDCs) 5 1000 t
- Western Africa 5 1000 t
- Northern Europe 4 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Southern 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.