Coconut Oil — Stock Variation 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 — Stock Variation is currently reported for 67 countries. The highest value is 24 1000 t in India; the lowest is -53 1000 t in Indonesia.
The median across all reporting countries is 0 1000 t, and the mean is -1.04 1000 t.
Over the past decade 16 countries rose and 18 fell. The largest increase was in India (up 2,500.0%), and the largest decrease in United Kingdom (down 200.0%).
Coconut Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 24 1000 t | 2023 | up 2,500.0% | volatile |
| 2 | Sri Lanka | 11 1000 t | 2023 | — | volatile |
| 3 | Papua New Guinea | 4 1000 t | 2023 | unchanged | volatile |
| 4 | Melanesia | 3 1000 t | 2023 | down 25.0% | volatile |
| 4 | Belgium | 3 1000 t | 2023 | down 50.0% | volatile |
| 4 | Brazil | 3 1000 t | 2023 | up 400.0% | volatile |
| 7 | Polynesia | 2 1000 t | 2023 | — | volatile |
| 7 | Pakistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 7 | Samoa | 2 1000 t | 2023 | — | volatile |
| 10 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 10 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 10 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 10 | Sweden | 1 1000 t | 2023 | — | volatile |
| 10 | Kiribati | 1 1000 t | 2023 | — | volatile |
| 10 | Ireland | 1 1000 t | 2023 | — | volatile |
| 10 | Iran (Islamic Republic of) | 1 1000 t | 2023 | up 150.0% | volatile |
| 10 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 10 | Cote d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 19 | Tunisia | 0 1000 t | 2023 | down 100.0% | flat |
| 19 | Thailand | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | East Timor | 0 1000 t | 2023 | — | volatile |
| 19 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | flat |
| 19 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 19 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 19 | Caribbean | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 19 | Morocco | 0 1000 t | 2023 | — | volatile |
| 19 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | Jamaica | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | Italy | 0 1000 t | 2023 | — | volatile |
| 19 | Iraq | 0 1000 t | 2023 | — | volatile |
| 19 | Ghana | 0 1000 t | 2023 | down 100.0% | flat |
| 19 | France | 0 1000 t | 2023 | — | volatile |
| 19 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | Algeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | Canada | 0 1000 t | 2023 | — | volatile |
| 19 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 19 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | Argentina | 0 1000 t | 2023 | — | volatile |
| 19 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 19 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 19 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 19 | Malawi | 0 1000 t | 2023 | — | volatile |
| 19 | Oman | 0 1000 t | 2023 | — | flat |
| 19 | Nigeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 19 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 170 | Viet Nam | -1 1000 t | 2023 | down 133.3% | volatile |
| 170 | United Kingdom | -1 1000 t | 2023 | down 200.0% | volatile |
| 170 | Russian Federation | -1 1000 t | 2023 | — | volatile |
| 170 | Poland | -1 1000 t | 2023 | up 75.0% | volatile |
| 170 | Germany | -1 1000 t | 2023 | — | volatile |
| 170 | Vietnam | -1 1000 t | 2023 | down 133.3% | volatile |
| 170 | United Kingdom of Great Britain and Northern Ireland | -1 1000 t | 2023 | down 200.0% | volatile |
| 170 | Russia | -1 1000 t | 2023 | — | volatile |
| 170 | Solomon Islands | -1 1000 t | 2023 | — | volatile |
| 179 | Mexico | -2 1000 t | 2023 | down 100.0% | volatile |
| 180 | Malaysia | -10 1000 t | 2023 | up 66.7% | volatile |
| 181 | Netherlands (Kingdom of the) | -11 1000 t | 2023 | — | volatile |
| 182 | Philippines | -12 1000 t | 2023 | up 84.0% | volatile |
| 183 | United States | -36 1000 t | 2023 | down 157.1% | volatile |
| 184 | Indonesia | -53 1000 t | 2023 | down 96.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Southern Asia 38 1000 t
- Net Food Importing Developing Countries (NFIDCs) 16 1000 t
- Small island developing States (SIDS) 5 1000 t
- Oceania 5 1000 t
- South America 3 1000 t
- Western Asia 2 1000 t
- Western Africa 2 1000 t
- Africa 2 1000 t
- Northern Europe 1 1000 t
- Central Asia 1 1000 t
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1 1000 t
- Eastern Africa 0 1000 t
- Northern Africa 0 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Eastern Asia 0 1000 t
- Southern Europe 0 1000 t
- Middle Africa 0 1000 t
- Central America -2 1000 t
- Eastern Europe -2 1000 t
- Western Europe -9 1000 t
- European Union (27) -9 1000 t
- Europe -10 1000 t
- Americas -34 1000 t
- Asia -35 1000 t
- Northern America -36 1000 t
- United States of America -36 1000 t
- World -72 1000 t
- South-Eastern Asia -76 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.