Palmkernel 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
Palmkernel Oil — Export quantity is currently reported for 59 countries. The highest value is 1,408 1000 t in Indonesia; the lowest is 0 1000 t in Ukraine.
The median across all reporting countries is 2 1000 t, and the mean is 47.39 1000 t.
Over the past decade 16 countries rose and 10 fell. The largest increase was in Peru (up 2,000.0%), and the largest decrease in Nigeria (down 100.0%).
Palmkernel Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 1,408 1000 t | 2023 | down 14.4% | flat |
| 2 | Malaysia | 646 1000 t | 2023 | down 22.9% | falling |
| 3 | Thailand | 108 1000 t | 2023 | down 4.4% | rising |
| 4 | Colombia | 94 1000 t | 2023 | up 77.4% | rising |
| 5 | Guatemala | 79 1000 t | 2023 | up 163.3% | rising |
| 6 | Melanesia | 70 1000 t | 2023 | up 32.1% | rising |
| 7 | Papua New Guinea | 67 1000 t | 2023 | up 34.0% | rising |
| 8 | Netherlands (Kingdom of the) | 51 1000 t | 2023 | down 66.0% | falling |
| 9 | Honduras | 40 1000 t | 2023 | up 48.1% | rising |
| 10 | Germany | 31 1000 t | 2023 | up 63.2% | volatile |
| 11 | Costa Rica | 30 1000 t | 2023 | up 57.9% | rising |
| 12 | Peru | 21 1000 t | 2023 | up 2,000.0% | volatile |
| 13 | Côte d'Ivoire | 20 1000 t | 2023 | up 33.3% | rising |
| 13 | Cote d'Ivoire | 20 1000 t | 2023 | up 33.3% | rising |
| 15 | Saudi Arabia | 19 1000 t | 2023 | — | volatile |
| 15 | United States | 19 1000 t | 2023 | up 216.7% | rising |
| 17 | Spain | 11 1000 t | 2023 | up 450.0% | volatile |
| 18 | Cambodia | 8 1000 t | 2023 | up 100.0% | volatile |
| 19 | Ghana | 6 1000 t | 2023 | up 200.0% | volatile |
| 19 | Gabon | 6 1000 t | 2023 | — | volatile |
| 21 | Belgium | 5 1000 t | 2023 | up 400.0% | volatile |
| 22 | Ecuador | 4 1000 t | 2023 | down 85.2% | volatile |
| 22 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | — | volatile |
| 24 | Solomon Islands | 3 1000 t | 2023 | up 50.0% | rising |
| 24 | Italy | 3 1000 t | 2023 | — | volatile |
| 24 | Turkey | 3 1000 t | 2023 | — | volatile |
| 24 | Philippines | 3 1000 t | 2023 | — | volatile |
| 24 | Türkiye | 3 1000 t | 2023 | — | volatile |
| 29 | Estonia | 2 1000 t | 2023 | — | volatile |
| 29 | Greece | 2 1000 t | 2023 | — | volatile |
| 29 | Nicaragua | 2 1000 t | 2023 | — | volatile |
| 32 | Sweden | 1 1000 t | 2023 | unchanged | volatile |
| 32 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 32 | Brazil | 1 1000 t | 2023 | down 90.0% | volatile |
| 32 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 32 | France | 1 1000 t | 2023 | — | volatile |
| 32 | Panama | 1 1000 t | 2023 | — | volatile |
| 32 | South Africa | 1 1000 t | 2023 | — | volatile |
| 32 | Liberia | 1 1000 t | 2023 | — | volatile |
| 40 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 40 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 40 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 40 | Denmark | 0 1000 t | 2023 | — | volatile |
| 40 | Egypt | 0 1000 t | 2023 | — | volatile |
| 40 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 40 | Gambia | 0 1000 t | 2020 | — | volatile |
| 40 | India | 0 1000 t | 2023 | — | volatile |
| 40 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 40 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 40 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Poland | 0 1000 t | 2023 | — | volatile |
| 40 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 40 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 40 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 40 | Russia | 0 1000 t | 2023 | — | volatile |
| 40 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Ukraine | 0 1000 t | 2019 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,714 1000 t
- Asia 2,196 1000 t
- South-Eastern Asia 2,173 1000 t
- Americas 295 1000 t
- Central America 151 1000 t
- South America 125 1000 t
- Net Food Importing Developing Countries (NFIDCs) 114 1000 t
- Europe 108 1000 t
- European Union (27) 107 1000 t
- Western Europe 88 1000 t
- Small island developing States (SIDS) 70 1000 t
- Oceania 70 1000 t
- Africa 44 1000 t
- Western Africa 28 1000 t
- Western Asia 23 1000 t
- Least Developed Countries (LDCs) 22 1000 t
- Northern America 19 1000 t
- United States of America 19 1000 t
- Southern Europe 17 1000 t
- Eastern Africa 8 1000 t
- Middle Africa 6 1000 t
- Low Income Food Deficit Countries (LIFDCs) 4 1000 t
- Northern Europe 3 1000 t
- Southern Africa 1 1000 t
- Northern Africa 0 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Eastern Europe 0 1000 t
- Southern 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.