Palmkernel 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
Palmkernel Oil — Stock Variation is currently reported for 165 countries. The highest value is 15 1000 t in Belgium; the lowest is -25 1000 t in Colombia.
The median across all reporting countries is 0 1000 t, and the mean is -0.2182 1000 t.
Over the past decade 9 countries rose and 13 fell. The largest increase was in Democratic Republic of the Congo (up 400.0%), and the largest decrease in Guatemala (down 533.3%).
Palmkernel Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Belgium | 15 1000 t | 2023 | — | volatile |
| 2 | Thailand | 5 1000 t | 2023 | up 150.0% | volatile |
| 2 | Melanesia | 5 1000 t | 2023 | — | volatile |
| 4 | Malaysia | 4 1000 t | 2023 | up 102.3% | volatile |
| 5 | Ecuador | 3 1000 t | 2023 | up 142.9% | volatile |
| 5 | Solomon Islands | 3 1000 t | 2023 | — | volatile |
| 5 | Democratic Republic of the Congo | 3 1000 t | 2023 | up 400.0% | volatile |
| 8 | Spain | 2 1000 t | 2023 | — | volatile |
| 8 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 8 | Papua New Guinea | 2 1000 t | 2023 | — | volatile |
| 11 | Angola | 1 1000 t | 2023 | — | volatile |
| 11 | Cameroon | 1 1000 t | 2023 | unchanged | volatile |
| 11 | Philippines | 1 1000 t | 2023 | — | volatile |
| 11 | Sierra Leone | 1 1000 t | 2023 | up 133.3% | volatile |
| 15 | Albania | 0 1000 t | 2023 | — | flat |
| 15 | United Arab Emirates | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Argentina | 0 1000 t | 2023 | — | flat |
| 15 | Armenia | 0 1000 t | 2023 | — | flat |
| 15 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 15 | Australia | 0 1000 t | 2023 | — | flat |
| 15 | Austria | 0 1000 t | 2023 | — | flat |
| 15 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 15 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 15 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 15 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 15 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 15 | Bahamas | 0 1000 t | 2023 | — | flat |
| 15 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 15 | Belarus | 0 1000 t | 2023 | — | flat |
| 15 | Belize | 0 1000 t | 2023 | — | flat |
| 15 | Brazil | 0 1000 t | 2023 | — | flat |
| 15 | Barbados | 0 1000 t | 2023 | — | flat |
| 15 | Botswana | 0 1000 t | 2023 | — | flat |
| 15 | Canada | 0 1000 t | 2023 | — | volatile |
| 15 | Switzerland | 0 1000 t | 2023 | — | flat |
| 15 | Chile | 0 1000 t | 2023 | — | flat |
| 15 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Congo | 0 1000 t | 2023 | — | flat |
| 15 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 15 | Cuba | 0 1000 t | 2019 | — | flat |
| 15 | Cyprus | 0 1000 t | 2023 | — | flat |
| 15 | Czechia | 0 1000 t | 2023 | — | flat |
| 15 | Germany | 0 1000 t | 2023 | — | volatile |
| 15 | Djibouti | 0 1000 t | 2023 | — | flat |
| 15 | Denmark | 0 1000 t | 2023 | — | flat |
| 15 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 15 | Algeria | 0 1000 t | 2023 | — | flat |
| 15 | Egypt | 0 1000 t | 2023 | — | flat |
| 15 | Estonia | 0 1000 t | 2023 | — | flat |
| 15 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 15 | Finland | 0 1000 t | 2023 | — | flat |
| 15 | Fiji | 0 1000 t | 2023 | — | flat |
| 15 | Gabon | 0 1000 t | 2023 | — | flat |
| 15 | Georgia | 0 1000 t | 2023 | — | flat |
| 15 | Ghana | 0 1000 t | 2023 | — | volatile |
| 15 | Guinea | 0 1000 t | 2023 | — | volatile |
| 15 | Gambia | 0 1000 t | 2021 | — | flat |
| 15 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 15 | Greece | 0 1000 t | 2023 | — | flat |
| 15 | Grenada | 0 1000 t | 2023 | — | flat |
| 15 | Guyana | 0 1000 t | 2023 | — | flat |
| 15 | Croatia | 0 1000 t | 2023 | — | flat |
| 15 | Haiti | 0 1000 t | 2023 | — | flat |
| 15 | Hungary | 0 1000 t | 2023 | — | flat |
| 15 | India | 0 1000 t | 2023 | — | flat |
| 15 | Ireland | 0 1000 t | 2023 | — | volatile |
| 15 | Iraq | 0 1000 t | 2023 | — | flat |
| 15 | Iceland | 0 1000 t | 2023 | — | flat |
| 15 | Israel | 0 1000 t | 2023 | — | flat |
| 15 | Italy | 0 1000 t | 2023 | — | volatile |
| 15 | Jamaica | 0 1000 t | 2023 | — | flat |
| 15 | Jordan | 0 1000 t | 2023 | — | volatile |
| 15 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 15 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Kyrgyzstan | 0 1000 t | 2021 | — | flat |
| 15 | Kiribati | 0 1000 t | 2021 | — | flat |
| 15 | Saint Kitts and Nevis | 0 1000 t | 2021 | — | flat |
| 15 | Kuwait | 0 1000 t | 2023 | — | flat |
| 15 | Lebanon | 0 1000 t | 2023 | — | flat |
| 15 | Liberia | 0 1000 t | 2023 | — | volatile |
| 15 | Libya | 0 1000 t | 2020 | — | flat |
| 15 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 15 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Lithuania | 0 1000 t | 2023 | — | flat |
| 15 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 15 | Latvia | 0 1000 t | 2023 | — | flat |
| 15 | Morocco | 0 1000 t | 2023 | — | flat |
| 15 | Madagascar | 0 1000 t | 2023 | — | flat |
| 15 | Mexico | 0 1000 t | 2023 | — | flat |
| 15 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 15 | Malta | 0 1000 t | 2023 | — | flat |
| 15 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 15 | Montenegro | 0 1000 t | 2023 | — | flat |
| 15 | Mongolia | 0 1000 t | 2023 | — | flat |
| 15 | Mozambique | 0 1000 t | 2023 | — | flat |
| 15 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 15 | Mauritius | 0 1000 t | 2023 | — | flat |
| 15 | Malawi | 0 1000 t | 2023 | — | flat |
| 15 | Namibia | 0 1000 t | 2023 | — | volatile |
| 15 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 15 | Niger | 0 1000 t | 2023 | — | flat |
| 15 | Nigeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 15 | Norway | 0 1000 t | 2023 | — | flat |
| 15 | Nepal | 0 1000 t | 2023 | — | flat |
| 15 | New Zealand | 0 1000 t | 2023 | — | flat |
| 15 | Oman | 0 1000 t | 2023 | — | flat |
| 15 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Panama | 0 1000 t | 2023 | — | flat |
| 15 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Portugal | 0 1000 t | 2023 | — | volatile |
| 15 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 15 | Qatar | 0 1000 t | 2023 | — | flat |
| 15 | Romania | 0 1000 t | 2023 | — | flat |
| 15 | Rwanda | 0 1000 t | 2023 | — | flat |
| 15 | Senegal | 0 1000 t | 2023 | — | flat |
| 15 | El Salvador | 0 1000 t | 2023 | — | flat |
| 15 | Serbia | 0 1000 t | 2023 | — | flat |
| 15 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 15 | Suriname | 0 1000 t | 2023 | — | flat |
| 15 | Slovakia | 0 1000 t | 2023 | — | flat |
| 15 | Slovenia | 0 1000 t | 2023 | — | flat |
| 15 | Eswatini | 0 1000 t | 2023 | — | flat |
| 15 | Seychelles | 0 1000 t | 2023 | — | flat |
| 15 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 15 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 15 | Tunisia | 0 1000 t | 2023 | — | flat |
| 15 | Uganda | 0 1000 t | 2023 | — | flat |
| 15 | Uruguay | 0 1000 t | 2023 | — | flat |
| 15 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 15 | Saint Vincent and the Grenadines | 0 1000 t | 2021 | — | flat |
| 15 | Yemen | 0 1000 t | 2023 | — | flat |
| 15 | Zambia | 0 1000 t | 2023 | — | volatile |
| 15 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 15 | Micronesia | 0 1000 t | 2021 | — | flat |
| 15 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 15 | Polynesia | 0 1000 t | 2023 | — | flat |
| 15 | Caribbean | 0 1000 t | 2023 | — | flat |
| 15 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 15 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 15 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | flat |
| 15 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 15 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 15 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 15 | Türkiye | 0 1000 t | 2023 | — | volatile |
| 15 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 15 | China, mainland | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 15 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | flat |
| 15 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 15 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 15 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 15 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 158 | Ukraine | -1 1000 t | 2023 | — | volatile |
| 159 | France | -2 1000 t | 2023 | — | volatile |
| 160 | Honduras | -3 1000 t | 2023 | — | volatile |
| 160 | Sweden | -3 1000 t | 2023 | — | volatile |
| 162 | Guatemala | -13 1000 t | 2023 | down 533.3% | volatile |
| 163 | Indonesia | -15 1000 t | 2023 | down 126.8% | volatile |
| 164 | Saudi Arabia | -22 1000 t | 2023 | down 466.7% | flat |
| 165 | Colombia | -25 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.
- Northern America 14 1000 t
- Western Europe 14 1000 t
- United States of America 14 1000 t
- European Union (27) 13 1000 t
- Europe 12 1000 t
- Least Developed Countries (LDCs) 10 1000 t
- Africa 7 1000 t
- Net Food Importing Developing Countries (NFIDCs) 7 1000 t
- Low Income Food Deficit Countries (LIFDCs) 6 1000 t
- Oceania 5 1000 t
- Small Island Developing States (SIDS) 5 1000 t
- Middle Africa 5 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.