Palmkernel Oil — 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
Palmkernel Oil — Food is currently reported for 65 countries. The highest value is 863 1000 t in Indonesia; the lowest is 0 1000 t in Sao Tome and Principe.
The median across all reporting countries is 3 1000 t, and the mean is 27.43 1000 t.
Over the past decade 19 countries rose and 21 fell. The largest increase was in Democratic Republic of the Congo (up 160.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Palmkernel Oil — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 863 1000 t | 2023 | up 93.1% | rising |
| 2 | Malaysia | 155 1000 t | 2023 | up 6.2% | flat |
| 3 | China, mainland | 129 1000 t | 2023 | up 57.3% | rising |
| 3 | China | 129 1000 t | 2023 | up 55.4% | rising |
| 5 | Nigeria | 97 1000 t | 2023 | down 28.1% | falling |
| 6 | Cote d'Ivoire | 40 1000 t | 2023 | up 42.9% | rising |
| 6 | Côte d'Ivoire | 40 1000 t | 2023 | up 42.9% | rising |
| 8 | Colombia | 30 1000 t | 2023 | up 87.5% | volatile |
| 9 | Egypt | 26 1000 t | 2023 | up 62.5% | rising |
| 10 | Philippines | 25 1000 t | 2023 | down 32.4% | volatile |
| 11 | Honduras | 23 1000 t | 2023 | up 109.1% | rising |
| 12 | Turkey | 16 1000 t | 2023 | up 33.3% | volatile |
| 12 | Sierra Leone | 16 1000 t | 2023 | up 23.1% | rising |
| 12 | Türkiye | 16 1000 t | 2023 | up 33.3% | volatile |
| 12 | Ghana | 16 1000 t | 2023 | down 23.8% | falling |
| 16 | United States | 15 1000 t | 2023 | unchanged | rising |
| 17 | Kenya | 14 1000 t | 2023 | up 75.0% | volatile |
| 17 | South Africa | 14 1000 t | 2023 | down 12.5% | flat |
| 19 | Democratic Republic of the Congo | 13 1000 t | 2023 | up 160.0% | volatile |
| 20 | Cameroon | 11 1000 t | 2023 | up 37.5% | rising |
| 21 | Angola | 9 1000 t | 2023 | up 50.0% | rising |
| 22 | Republic of Korea | 8 1000 t | 2023 | unchanged | rising |
| 23 | Paraguay | 7 1000 t | 2023 | up 40.0% | rising |
| 23 | Thailand | 7 1000 t | 2023 | up 16.7% | rising |
| 25 | Italy | 6 1000 t | 2023 | down 25.0% | falling |
| 26 | Saudi Arabia | 4 1000 t | 2023 | down 33.3% | volatile |
| 26 | Gabon | 4 1000 t | 2023 | — | volatile |
| 26 | United Republic of Tanzania | 4 1000 t | 2023 | down 66.7% | falling |
| 26 | Spain | 4 1000 t | 2023 | unchanged | rising |
| 26 | Melanesia | 4 1000 t | 2023 | unchanged | flat |
| 26 | Peru | 4 1000 t | 2023 | down 78.9% | falling |
| 32 | Papua New Guinea | 3 1000 t | 2023 | down 25.0% | falling |
| 32 | Congo | 3 1000 t | 2023 | — | volatile |
| 32 | Uganda | 3 1000 t | 2023 | up 50.0% | rising |
| 32 | Caribbean | 3 1000 t | 2023 | — | volatile |
| 36 | Trinidad and Tobago | 2 1000 t | 2023 | — | volatile |
| 36 | Iraq | 2 1000 t | 2023 | down 33.3% | falling |
| 36 | Pakistan | 2 1000 t | 2023 | down 77.8% | falling |
| 36 | Yemen | 2 1000 t | 2023 | — | volatile |
| 36 | Switzerland | 2 1000 t | 2023 | — | rising |
| 41 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 41 | Liberia | 1 1000 t | 2023 | down 75.0% | falling |
| 41 | Vietnam | 1 1000 t | 2023 | unchanged | volatile |
| 41 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 41 | Sri Lanka | 1 1000 t | 2023 | down 75.0% | volatile |
| 41 | Israel | 1 1000 t | 2023 | down 50.0% | falling |
| 41 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 83.3% | volatile |
| 41 | Myanmar | 1 1000 t | 2023 | down 50.0% | volatile |
| 41 | Viet Nam | 1 1000 t | 2023 | unchanged | volatile |
| 41 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 41 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | flat |
| 41 | Gambia | 1 1000 t | 2021 | — | volatile |
| 53 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 53 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 53 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 53 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 53 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 53 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 53 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 53 | Sao Tome and Principe | 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 1,645 1000 t
- Asia 1,221 1000 t
- South-Eastern Asia 1,051 1000 t
- Africa 326 1000 t
- Net Food Importing Developing Countries (NFIDCs) 221 1000 t
- Western Africa 200 1000 t
- Eastern Asia 137 1000 t
- Low Income Food Deficit Countries (LIFDCs) 122 1000 t
- Least Developed Countries (LDCs) 103 1000 t
- Americas 82 1000 t
- Northern Africa 45 1000 t
- South America 42 1000 t
- Middle Africa 41 1000 t
- Western Asia 27 1000 t
- Eastern Africa 26 1000 t
- Central America 23 1000 t
- Land Locked Developing Countries (LLDCs) 17 1000 t
- Northern America 15 1000 t
- United States of America 15 1000 t
- Southern Africa 14 1000 t
- Europe 12 1000 t
- Southern Europe 10 1000 t
- European Union (27) 10 1000 t
- Small island developing States (SIDS) 8 1000 t
- Southern Asia 5 1000 t
- Oceania 4 1000 t
- Western Europe 3 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.