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 99 countries. The highest value is 863 1000 t in Indonesia; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 17.14 1000 t.
Over the past decade 17 countries rose and 20 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 | 129 1000 t | 2023 | up 55.4% | rising |
| 3 | China, mainland | 129 1000 t | 2023 | up 57.3% | rising |
| 5 | Nigeria | 97 1000 t | 2023 | down 28.1% | falling |
| 6 | Côte d'Ivoire | 40 1000 t | 2023 | up 42.9% | rising |
| 7 | Colombia | 30 1000 t | 2023 | up 87.5% | volatile |
| 8 | Egypt | 26 1000 t | 2023 | up 62.5% | rising |
| 9 | Philippines | 25 1000 t | 2023 | down 32.4% | volatile |
| 10 | Honduras | 23 1000 t | 2023 | up 109.1% | rising |
| 11 | Ghana | 16 1000 t | 2023 | down 23.8% | falling |
| 11 | Sierra Leone | 16 1000 t | 2023 | up 23.1% | rising |
| 11 | Türkiye | 16 1000 t | 2023 | up 33.3% | volatile |
| 14 | Kenya | 14 1000 t | 2023 | up 75.0% | volatile |
| 15 | Democratic Republic of the Congo | 13 1000 t | 2023 | up 160.0% | volatile |
| 16 | Cameroon | 11 1000 t | 2023 | up 37.5% | rising |
| 17 | Angola | 9 1000 t | 2023 | up 50.0% | rising |
| 18 | Republic of Korea | 8 1000 t | 2023 | unchanged | rising |
| 19 | Paraguay | 7 1000 t | 2023 | up 40.0% | rising |
| 19 | Thailand | 7 1000 t | 2023 | up 16.7% | rising |
| 21 | Italy | 6 1000 t | 2023 | down 25.0% | falling |
| 22 | Spain | 4 1000 t | 2023 | unchanged | rising |
| 22 | Gabon | 4 1000 t | 2023 | — | volatile |
| 22 | Peru | 4 1000 t | 2023 | down 78.9% | falling |
| 22 | Saudi Arabia | 4 1000 t | 2023 | down 33.3% | volatile |
| 22 | Melanesia | 4 1000 t | 2023 | unchanged | flat |
| 22 | United Republic of Tanzania | 4 1000 t | 2023 | down 66.7% | falling |
| 28 | Congo | 3 1000 t | 2023 | — | volatile |
| 28 | Papua New Guinea | 3 1000 t | 2023 | down 25.0% | falling |
| 28 | Uganda | 3 1000 t | 2023 | up 50.0% | rising |
| 28 | Caribbean | 3 1000 t | 2023 | — | volatile |
| 32 | Switzerland | 2 1000 t | 2023 | — | rising |
| 32 | Iraq | 2 1000 t | 2023 | down 33.3% | falling |
| 32 | Pakistan | 2 1000 t | 2023 | down 77.8% | falling |
| 32 | Trinidad and Tobago | 2 1000 t | 2023 | — | volatile |
| 32 | Yemen | 2 1000 t | 2023 | — | volatile |
| 37 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 37 | Gambia | 1 1000 t | 2021 | — | volatile |
| 37 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | flat |
| 37 | Israel | 1 1000 t | 2023 | down 50.0% | falling |
| 37 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 37 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 37 | Liberia | 1 1000 t | 2023 | down 75.0% | falling |
| 37 | Sri Lanka | 1 1000 t | 2023 | down 75.0% | volatile |
| 37 | Myanmar | 1 1000 t | 2023 | down 50.0% | volatile |
| 37 | Iran (Islamic Republic of) | 1 1000 t | 2023 | down 83.3% | volatile |
| 37 | Viet Nam | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 48 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Armenia | 0 1000 t | 2023 | — | flat |
| 48 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 48 | Bahamas | 0 1000 t | 2023 | — | flat |
| 48 | Belize | 0 1000 t | 2023 | — | flat |
| 48 | Brazil | 0 1000 t | 2023 | — | flat |
| 48 | Barbados | 0 1000 t | 2023 | — | flat |
| 48 | Canada | 0 1000 t | 2023 | — | flat |
| 48 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 48 | Denmark | 0 1000 t | 2023 | — | flat |
| 48 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 48 | Fiji | 0 1000 t | 2023 | — | flat |
| 48 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Grenada | 0 1000 t | 2023 | — | flat |
| 48 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 48 | Kiribati | 0 1000 t | 2021 | — | flat |
| 48 | Saint Kitts and Nevis | 0 1000 t | 2021 | — | flat |
| 48 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 48 | Lesotho | 0 1000 t | 2023 | — | flat |
| 48 | Montenegro | 0 1000 t | 2023 | — | flat |
| 48 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 48 | Mozambique | 0 1000 t | 2023 | — | flat |
| 48 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 48 | Malawi | 0 1000 t | 2023 | — | flat |
| 48 | Namibia | 0 1000 t | 2023 | — | flat |
| 48 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 48 | Niger | 0 1000 t | 2023 | — | flat |
| 48 | Nepal | 0 1000 t | 2023 | — | flat |
| 48 | Poland | 0 1000 t | 2023 | — | flat |
| 48 | Qatar | 0 1000 t | 2023 | — | flat |
| 48 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 48 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 48 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 48 | Seychelles | 0 1000 t | 2023 | — | flat |
| 48 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 48 | Samoa | 0 1000 t | 2021 | — | flat |
| 48 | Zambia | 0 1000 t | 2023 | — | flat |
| 48 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 48 | Micronesia | 0 1000 t | 2023 | — | flat |
| 48 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 48 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 48 | Polynesia | 0 1000 t | 2023 | — | flat |
| 48 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 48 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 48 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 48 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 48 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 48 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
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
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.