Palmkernel Oil — Domestic supply 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 — Domestic supply quantity is currently reported for 126 countries. The highest value is 3,575 1000 t in Indonesia; the lowest is -4 1000 t in Solomon Islands.
The median across all reporting countries is 4 1000 t, and the mean is 75.61 1000 t.
The gap between the highest and lowest reporting country is a factor of about 894.
Over the past decade 46 countries rose and 39 fell. The largest increase was in Czechia (up 1,500.0%), and the largest decrease in Jordan (down 100.0%).
Palmkernel Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 3,575 1000 t | 2023 | up 160.9% | rising |
| 2 | Malaysia | 1,649 1000 t | 2023 | down 10.7% | falling |
| 3 | China | 738 1000 t | 2023 | up 16.4% | rising |
| 4 | China, mainland | 737 1000 t | 2023 | up 16.8% | rising |
| 5 | United States | 311 1000 t | 2023 | up 8.7% | rising |
| 6 | Brazil | 297 1000 t | 2023 | unchanged | rising |
| 7 | Germany | 282 1000 t | 2023 | down 21.7% | falling |
| 8 | Thailand | 200 1000 t | 2023 | up 52.7% | rising |
| 9 | Nigeria | 172 1000 t | 2023 | up 27.4% | rising |
| 10 | Netherlands (Kingdom of the) | 121 1000 t | 2023 | up 3.4% | rising |
| 11 | India | 120 1000 t | 2023 | down 61.2% | falling |
| 12 | Mexico | 104 1000 t | 2023 | up 31.6% | rising |
| 13 | Russia | 83 1000 t | 2023 | up 50.9% | rising |
| 13 | Russian Federation | 83 1000 t | 2023 | up 50.9% | rising |
| 15 | Spain | 62 1000 t | 2023 | up 59.0% | rising |
| 16 | Turkey | 60 1000 t | 2023 | down 35.5% | falling |
| 16 | Türkiye | 60 1000 t | 2023 | down 35.5% | falling |
| 18 | Ghana | 59 1000 t | 2023 | up 18.0% | rising |
| 19 | Colombia | 56 1000 t | 2023 | up 51.4% | rising |
| 20 | Cote d'Ivoire | 40 1000 t | 2023 | up 42.9% | rising |
| 20 | Côte d'Ivoire | 40 1000 t | 2023 | up 42.9% | rising |
| 22 | Cameroon | 37 1000 t | 2023 | up 27.6% | rising |
| 22 | Honduras | 37 1000 t | 2023 | up 105.6% | rising |
| 24 | Italy | 36 1000 t | 2023 | up 16.1% | rising |
| 25 | Sweden | 34 1000 t | 2023 | up 36.0% | rising |
| 26 | Ecuador | 31 1000 t | 2023 | up 63.2% | rising |
| 27 | South Africa | 28 1000 t | 2023 | down 12.5% | falling |
| 28 | Egypt | 26 1000 t | 2023 | up 62.5% | rising |
| 29 | Belgium | 25 1000 t | 2023 | up 19.0% | rising |
| 29 | Philippines | 25 1000 t | 2023 | down 32.4% | volatile |
| 31 | Poland | 21 1000 t | 2023 | up 133.3% | rising |
| 32 | Greece | 18 1000 t | 2023 | down 35.7% | falling |
| 33 | United Kingdom | 17 1000 t | 2023 | down 45.2% | falling |
| 33 | United Kingdom of Great Britain and Northern Ireland | 17 1000 t | 2023 | down 45.2% | falling |
| 35 | Czechia | 16 1000 t | 2023 | up 1,500.0% | volatile |
| 35 | Sierra Leone | 16 1000 t | 2023 | up 23.1% | rising |
| 37 | Argentina | 15 1000 t | 2023 | up 114.3% | rising |
| 38 | Costa Rica | 14 1000 t | 2023 | up 600.0% | volatile |
| 38 | Kenya | 14 1000 t | 2023 | up 75.0% | volatile |
| 38 | Caribbean | 14 1000 t | 2023 | up 100.0% | rising |
| 41 | Canada | 13 1000 t | 2023 | up 160.0% | rising |
| 41 | Democratic Republic of the Congo | 13 1000 t | 2023 | up 160.0% | volatile |
| 43 | Angola | 11 1000 t | 2023 | up 37.5% | rising |
| 43 | Dominican Republic | 11 1000 t | 2023 | up 83.3% | rising |
| 43 | France | 11 1000 t | 2023 | down 26.7% | falling |
| 46 | Australia | 10 1000 t | 2023 | up 25.0% | rising |
| 46 | Bangladesh | 10 1000 t | 2023 | up 25.0% | falling |
| 46 | Saudi Arabia | 10 1000 t | 2023 | up 66.7% | volatile |
| 46 | Australia and New Zealand | 10 1000 t | 2023 | up 25.0% | rising |
| 50 | Guatemala | 9 1000 t | 2023 | up 80.0% | volatile |
| 51 | Austria | 8 1000 t | 2023 | up 700.0% | volatile |
| 51 | Republic of Korea | 8 1000 t | 2023 | unchanged | rising |
| 53 | Paraguay | 7 1000 t | 2023 | up 40.0% | rising |
| 54 | Morocco | 6 1000 t | 2023 | — | rising |
| 55 | Guinea | 5 1000 t | 2023 | unchanged | rising |
| 55 | Nicaragua | 5 1000 t | 2023 | down 16.7% | volatile |
| 55 | Tunisia | 5 1000 t | 2023 | up 66.7% | rising |
| 55 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | up 150.0% | volatile |
| 59 | Chile | 4 1000 t | 2023 | up 100.0% | volatile |
| 59 | Gabon | 4 1000 t | 2023 | — | volatile |
| 59 | Hungary | 4 1000 t | 2023 | up 300.0% | volatile |
| 59 | Peru | 4 1000 t | 2023 | down 78.9% | falling |
| 59 | Papua New Guinea | 4 1000 t | 2023 | unchanged | rising |
| 59 | Senegal | 4 1000 t | 2023 | down 20.0% | flat |
| 59 | United Republic of Tanzania | 4 1000 t | 2023 | down 66.7% | falling |
| 66 | Bulgaria | 3 1000 t | 2023 | — | volatile |
| 66 | Congo | 3 1000 t | 2023 | — | volatile |
| 66 | Syria | 3 1000 t | 2023 | unchanged | falling |
| 66 | Uganda | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | Ukraine | 3 1000 t | 2023 | down 78.6% | volatile |
| 66 | Syrian Arab Republic | 3 1000 t | 2023 | unchanged | falling |
| 72 | United Arab Emirates | 2 1000 t | 2023 | down 87.5% | volatile |
| 72 | Switzerland | 2 1000 t | 2023 | down 33.3% | falling |
| 72 | Iraq | 2 1000 t | 2023 | down 33.3% | falling |
| 72 | Kazakhstan | 2 1000 t | 2023 | down 33.3% | falling |
| 72 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 72 | Pakistan | 2 1000 t | 2023 | down 77.8% | falling |
| 72 | Slovakia | 2 1000 t | 2023 | — | volatile |
| 72 | Trinidad and Tobago | 2 1000 t | 2023 | — | volatile |
| 72 | Uruguay | 2 1000 t | 2023 | up 100.0% | rising |
| 72 | Yemen | 2 1000 t | 2023 | — | volatile |
| 82 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 82 | Bahrain | 1 1000 t | 2023 | — | flat |
| 82 | Cuba | 1 1000 t | 2019 | — | volatile |
| 82 | Algeria | 1 1000 t | 2023 | — | volatile |
| 82 | Gambia | 1 1000 t | 2021 | — | volatile |
| 82 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | flat |
| 82 | Ireland | 1 1000 t | 2023 | down 50.0% | falling |
| 82 | Israel | 1 1000 t | 2023 | down 50.0% | falling |
| 82 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 82 | Liberia | 1 1000 t | 2023 | down 75.0% | falling |
| 82 | Sri Lanka | 1 1000 t | 2023 | down 75.0% | volatile |
| 82 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 82 | Madagascar | 1 1000 t | 2023 | unchanged | flat |
| 82 | Myanmar | 1 1000 t | 2023 | down 50.0% | volatile |
| 82 | Portugal | 1 1000 t | 2023 | down 50.0% | falling |
| 82 | Serbia | 1 1000 t | 2023 | — | volatile |
| 82 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 82 | Melanesia | 1 1000 t | 2023 | down 50.0% | volatile |
| 82 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 83.3% | volatile |
| 82 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 102 | Belarus | 0 1000 t | 2023 | — | volatile |
| 102 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 102 | Denmark | 0 1000 t | 2023 | — | volatile |
| 102 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 102 | Croatia | 0 1000 t | 2023 | — | volatile |
| 102 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 102 | Libya | 0 1000 t | 2020 | down 100.0% | volatile |
| 102 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 102 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 102 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 102 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Panama | 0 1000 t | 2023 | — | volatile |
| 102 | Romania | 0 1000 t | 2023 | — | volatile |
| 102 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 102 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 102 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 102 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 186 | Estonia | -2 1000 t | 2023 | — | volatile |
| 187 | Solomon Islands | -4 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 8,692 1000 t
- Asia 6,490 1000 t
- South-Eastern Asia 5,451 1000 t
- Americas 930 1000 t
- Eastern Asia 820 1000 t
- Europe 754 1000 t
- European Union (27) 648 1000 t
- Africa 507 1000 t
- Western Europe 450 1000 t
- South America 422 1000 t
- Western Africa 327 1000 t
- Northern America 325 1000 t
- United States of America 311 1000 t
- Net Food Importing Developing Countries (NFIDCs) 281 1000 t
- Central America 169 1000 t
- Low Income Food Deficit Countries (LIFDCs) 165 1000 t
- Eastern Europe 134 1000 t
- Southern Asia 134 1000 t
- Least Developed Countries (LDCs) 122 1000 t
- Southern Europe 118 1000 t
- Western Asia 84 1000 t
- Middle Africa 69 1000 t
- Northern Africa 57 1000 t
- Northern Europe 51 1000 t
- Southern Africa 28 1000 t
- Eastern Africa 26 1000 t
- Land Locked Developing Countries (LLDCs) 19 1000 t
- Small island developing States (SIDS) 16 1000 t
- Oceania 11 1000 t
- Central Asia 2 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.