Sesameseed 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
Sesameseed Oil — Stock Variation is currently reported for 165 countries. The highest value is 10 1000 t in Pakistan; the lowest is -2 1000 t in Russian Federation.
The median across all reporting countries is 0 1000 t, and the mean is 0.1697 1000 t.
The gap between the highest and lowest reporting country is a factor of about 5.
Over the past decade 9 countries rose and 9 fell. The largest increase was in China (up 107.7%), and the largest decrease in Belgium (down 100.0%).
Sesameseed Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Pakistan | 10 1000 t | 2023 | — | volatile |
| 2 | Saudi Arabia | 6 1000 t | 2023 | — | volatile |
| 3 | Germany | 4 1000 t | 2023 | — | volatile |
| 4 | Myanmar | 3 1000 t | 2023 | — | volatile |
| 5 | India | 2 1000 t | 2023 | down 91.7% | volatile |
| 6 | China | 1 1000 t | 2023 | up 107.7% | volatile |
| 6 | Greece | 1 1000 t | 2023 | — | volatile |
| 6 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 6 | China, mainland | 1 1000 t | 2023 | up 107.1% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 11 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 11 | Albania | 0 1000 t | 2023 | — | flat |
| 11 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 11 | Argentina | 0 1000 t | 2023 | — | flat |
| 11 | Armenia | 0 1000 t | 2023 | — | flat |
| 11 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 11 | Australia | 0 1000 t | 2023 | — | volatile |
| 11 | Austria | 0 1000 t | 2023 | — | flat |
| 11 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 11 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 11 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 11 | Bahrain | 0 1000 t | 2023 | — | flat |
| 11 | Bahamas | 0 1000 t | 2023 | — | flat |
| 11 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 11 | Belarus | 0 1000 t | 2023 | — | flat |
| 11 | Belize | 0 1000 t | 2023 | — | flat |
| 11 | Brazil | 0 1000 t | 2023 | — | flat |
| 11 | Barbados | 0 1000 t | 2023 | — | flat |
| 11 | Bhutan | 0 1000 t | 2023 | — | flat |
| 11 | Botswana | 0 1000 t | 2023 | — | flat |
| 11 | Canada | 0 1000 t | 2023 | — | flat |
| 11 | Switzerland | 0 1000 t | 2023 | — | flat |
| 11 | Chile | 0 1000 t | 2023 | — | flat |
| 11 | Cameroon | 0 1000 t | 2023 | — | flat |
| 11 | Congo | 0 1000 t | 2023 | — | flat |
| 11 | Colombia | 0 1000 t | 2023 | — | flat |
| 11 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 11 | Cuba | 0 1000 t | 2019 | — | flat |
| 11 | Cyprus | 0 1000 t | 2023 | — | flat |
| 11 | Czechia | 0 1000 t | 2023 | — | flat |
| 11 | Denmark | 0 1000 t | 2023 | — | flat |
| 11 | Algeria | 0 1000 t | 2023 | — | flat |
| 11 | Ecuador | 0 1000 t | 2023 | — | flat |
| 11 | Egypt | 0 1000 t | 2023 | — | flat |
| 11 | Spain | 0 1000 t | 2023 | — | flat |
| 11 | Estonia | 0 1000 t | 2023 | — | flat |
| 11 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 11 | Finland | 0 1000 t | 2023 | — | flat |
| 11 | Fiji | 0 1000 t | 2023 | — | flat |
| 11 | France | 0 1000 t | 2023 | — | flat |
| 11 | Gabon | 0 1000 t | 2023 | — | flat |
| 11 | Georgia | 0 1000 t | 2023 | — | flat |
| 11 | Ghana | 0 1000 t | 2023 | — | flat |
| 11 | Gambia | 0 1000 t | 2023 | — | flat |
| 11 | Grenada | 0 1000 t | 2023 | — | flat |
| 11 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Guyana | 0 1000 t | 2023 | — | flat |
| 11 | Honduras | 0 1000 t | 2023 | — | flat |
| 11 | Croatia | 0 1000 t | 2023 | — | flat |
| 11 | Hungary | 0 1000 t | 2023 | — | flat |
| 11 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 11 | Ireland | 0 1000 t | 2023 | — | flat |
| 11 | Iraq | 0 1000 t | 2023 | — | flat |
| 11 | Iceland | 0 1000 t | 2023 | — | flat |
| 11 | Israel | 0 1000 t | 2023 | — | flat |
| 11 | Italy | 0 1000 t | 2023 | — | flat |
| 11 | Jamaica | 0 1000 t | 2023 | — | flat |
| 11 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Kenya | 0 1000 t | 2023 | — | flat |
| 11 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 11 | Cambodia | 0 1000 t | 2023 | — | flat |
| 11 | Kiribati | 0 1000 t | 2023 | — | flat |
| 11 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 11 | Kuwait | 0 1000 t | 2023 | — | flat |
| 11 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Liberia | 0 1000 t | 2023 | — | flat |
| 11 | Libya | 0 1000 t | 2023 | — | flat |
| 11 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 11 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 11 | Lithuania | 0 1000 t | 2023 | — | flat |
| 11 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 11 | Latvia | 0 1000 t | 2023 | — | flat |
| 11 | Morocco | 0 1000 t | 2023 | — | flat |
| 11 | Madagascar | 0 1000 t | 2023 | — | flat |
| 11 | Maldives | 0 1000 t | 2023 | — | flat |
| 11 | Mexico | 0 1000 t | 2023 | — | volatile |
| 11 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 11 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 11 | Malta | 0 1000 t | 2023 | — | flat |
| 11 | Montenegro | 0 1000 t | 2023 | — | flat |
| 11 | Mongolia | 0 1000 t | 2023 | — | flat |
| 11 | Mozambique | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Mauritania | 0 1000 t | 2018 | — | flat |
| 11 | Mauritius | 0 1000 t | 2023 | — | flat |
| 11 | Malawi | 0 1000 t | 2023 | — | flat |
| 11 | Malaysia | 0 1000 t | 2023 | — | flat |
| 11 | Namibia | 0 1000 t | 2023 | — | flat |
| 11 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 11 | Niger | 0 1000 t | 2023 | — | flat |
| 11 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 11 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 11 | Norway | 0 1000 t | 2023 | — | flat |
| 11 | Nepal | 0 1000 t | 2023 | — | flat |
| 11 | New Zealand | 0 1000 t | 2023 | — | flat |
| 11 | Oman | 0 1000 t | 2023 | — | flat |
| 11 | Panama | 0 1000 t | 2023 | — | flat |
| 11 | Peru | 0 1000 t | 2023 | — | flat |
| 11 | Philippines | 0 1000 t | 2023 | — | flat |
| 11 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 11 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Portugal | 0 1000 t | 2023 | — | flat |
| 11 | Paraguay | 0 1000 t | 2023 | — | flat |
| 11 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 11 | Qatar | 0 1000 t | 2023 | — | flat |
| 11 | Romania | 0 1000 t | 2023 | — | flat |
| 11 | Rwanda | 0 1000 t | 2023 | — | flat |
| 11 | Senegal | 0 1000 t | 2023 | — | flat |
| 11 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 11 | El Salvador | 0 1000 t | 2023 | — | flat |
| 11 | Serbia | 0 1000 t | 2023 | — | flat |
| 11 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 11 | Suriname | 0 1000 t | 2023 | — | flat |
| 11 | Slovakia | 0 1000 t | 2023 | — | flat |
| 11 | Slovenia | 0 1000 t | 2023 | — | flat |
| 11 | Sweden | 0 1000 t | 2023 | — | flat |
| 11 | Eswatini | 0 1000 t | 2023 | — | flat |
| 11 | Seychelles | 0 1000 t | 2023 | — | flat |
| 11 | Thailand | 0 1000 t | 2023 | — | volatile |
| 11 | Tonga | 0 1000 t | 2023 | — | flat |
| 11 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 11 | Tunisia | 0 1000 t | 2023 | — | flat |
| 11 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 11 | Uganda | 0 1000 t | 2023 | — | flat |
| 11 | Ukraine | 0 1000 t | 2023 | — | flat |
| 11 | Uruguay | 0 1000 t | 2023 | — | flat |
| 11 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 11 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 11 | Samoa | 0 1000 t | 2023 | — | flat |
| 11 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Zambia | 0 1000 t | 2023 | — | flat |
| 11 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 11 | Micronesia | 0 1000 t | 2023 | — | flat |
| 11 | Melanesia | 0 1000 t | 2023 | — | flat |
| 11 | Polynesia | 0 1000 t | 2023 | — | flat |
| 11 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 11 | Caribbean | 0 1000 t | 2023 | — | flat |
| 11 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 11 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 11 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 11 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 11 | Viet Nam | 0 1000 t | 2023 | up 100.0% | flat |
| 11 | Türkiye | 0 1000 t | 2023 | up 100.0% | volatile |
| 11 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 11 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 11 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 11 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 11 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 11 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 165 | Russian Federation | -2 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 31 1000 t
- Asia 23 1000 t
- Net Food Importing Developing Countries (NFIDCs) 15 1000 t
- Southern Asia 12 1000 t
- Western Asia 7 1000 t
- European Union (27) 6 1000 t
- Europe 5 1000 t
- Least Developed Countries (LDCs) 5 1000 t
- Western Europe 5 1000 t
- Africa 3 1000 t
- Eastern Africa 3 1000 t
- South-eastern Asia 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.