Sesameseed Oil — Export 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
Sesameseed Oil — Export quantity is currently reported for 110 countries. The highest value is 13 1000 t in China; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 0 1000 t, and the mean is 0.5273 1000 t.
Over the past decade 6 countries rose and 8 fell. The largest increase was in Netherlands (Kingdom of the) (up 200.0%), and the largest decrease in Belgium (down 100.0%).
Sesameseed Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 13 1000 t | 2023 | up 8.3% | rising |
| 2 | India | 10 1000 t | 2023 | up 66.7% | rising |
| 3 | China, mainland | 8 1000 t | 2023 | up 100.0% | rising |
| 4 | China, Taiwan Province of | 5 1000 t | 2023 | down 37.5% | falling |
| 5 | Mexico | 4 1000 t | 2023 | down 50.0% | falling |
| 6 | Bangladesh | 3 1000 t | 2023 | down 40.0% | volatile |
| 6 | Russian Federation | 3 1000 t | 2023 | — | volatile |
| 6 | Netherlands (Kingdom of the) | 3 1000 t | 2023 | up 200.0% | rising |
| 9 | Germany | 2 1000 t | 2023 | up 100.0% | rising |
| 9 | Malaysia | 2 1000 t | 2023 | up 100.0% | rising |
| 11 | France | 1 1000 t | 2023 | unchanged | flat |
| 11 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 11 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | falling |
| 11 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 11 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | unchanged | flat |
| 16 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 16 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 16 | Argentina | 0 1000 t | 2017 | — | flat |
| 16 | Australia | 0 1000 t | 2023 | — | flat |
| 16 | Austria | 0 1000 t | 2023 | — | flat |
| 16 | Azerbaijan | 0 1000 t | 2021 | — | flat |
| 16 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 16 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 16 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 16 | Bahrain | 0 1000 t | 2023 | — | flat |
| 16 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 16 | Belarus | 0 1000 t | 2021 | — | flat |
| 16 | Brazil | 0 1000 t | 2023 | — | flat |
| 16 | Botswana | 0 1000 t | 2023 | — | flat |
| 16 | Canada | 0 1000 t | 2023 | — | flat |
| 16 | Switzerland | 0 1000 t | 2023 | — | flat |
| 16 | Colombia | 0 1000 t | 2022 | — | flat |
| 16 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 16 | Cyprus | 0 1000 t | 2023 | — | flat |
| 16 | Czechia | 0 1000 t | 2023 | — | flat |
| 16 | Denmark | 0 1000 t | 2023 | — | flat |
| 16 | Algeria | 0 1000 t | 2021 | — | flat |
| 16 | Ecuador | 0 1000 t | 2023 | — | flat |
| 16 | Egypt | 0 1000 t | 2023 | — | flat |
| 16 | Spain | 0 1000 t | 2023 | — | flat |
| 16 | Estonia | 0 1000 t | 2023 | — | flat |
| 16 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 16 | Finland | 0 1000 t | 2023 | — | flat |
| 16 | Fiji | 0 1000 t | 2023 | — | flat |
| 16 | Ghana | 0 1000 t | 2023 | — | volatile |
| 16 | Gambia | 0 1000 t | 2021 | — | volatile |
| 16 | Greece | 0 1000 t | 2023 | — | flat |
| 16 | Guatemala | 0 1000 t | 2021 | — | flat |
| 16 | Guyana | 0 1000 t | 2018 | — | flat |
| 16 | Croatia | 0 1000 t | 2023 | — | flat |
| 16 | Hungary | 0 1000 t | 2023 | — | flat |
| 16 | Indonesia | 0 1000 t | 2023 | — | flat |
| 16 | Ireland | 0 1000 t | 2023 | — | flat |
| 16 | Iraq | 0 1000 t | 2023 | — | flat |
| 16 | Israel | 0 1000 t | 2022 | — | flat |
| 16 | Italy | 0 1000 t | 2023 | — | flat |
| 16 | Jamaica | 0 1000 t | 2022 | — | flat |
| 16 | Jordan | 0 1000 t | 2023 | — | volatile |
| 16 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 16 | Kenya | 0 1000 t | 2023 | — | flat |
| 16 | Kyrgyzstan | 0 1000 t | 2015 | — | flat |
| 16 | Kuwait | 0 1000 t | 2022 | — | flat |
| 16 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 16 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 16 | Lithuania | 0 1000 t | 2023 | — | flat |
| 16 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 16 | Latvia | 0 1000 t | 2023 | — | flat |
| 16 | Morocco | 0 1000 t | 2023 | — | flat |
| 16 | Madagascar | 0 1000 t | 2023 | — | flat |
| 16 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 16 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 16 | Mauritius | 0 1000 t | 2023 | — | flat |
| 16 | Namibia | 0 1000 t | 2021 | — | flat |
| 16 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 16 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 16 | Norway | 0 1000 t | 2023 | — | flat |
| 16 | Nepal | 0 1000 t | 2019 | — | flat |
| 16 | New Zealand | 0 1000 t | 2023 | — | flat |
| 16 | Oman | 0 1000 t | 2023 | — | volatile |
| 16 | Pakistan | 0 1000 t | 2022 | — | flat |
| 16 | Peru | 0 1000 t | 2023 | — | flat |
| 16 | Poland | 0 1000 t | 2023 | — | flat |
| 16 | Portugal | 0 1000 t | 2023 | — | flat |
| 16 | Paraguay | 0 1000 t | 2023 | — | flat |
| 16 | Romania | 0 1000 t | 2023 | — | flat |
| 16 | Rwanda | 0 1000 t | 2022 | — | flat |
| 16 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 16 | Senegal | 0 1000 t | 2023 | — | flat |
| 16 | Serbia | 0 1000 t | 2023 | — | flat |
| 16 | Slovakia | 0 1000 t | 2023 | — | flat |
| 16 | Slovenia | 0 1000 t | 2023 | — | flat |
| 16 | Sweden | 0 1000 t | 2023 | — | flat |
| 16 | Thailand | 0 1000 t | 2023 | — | volatile |
| 16 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 16 | Tunisia | 0 1000 t | 2023 | — | flat |
| 16 | Uganda | 0 1000 t | 2023 | — | volatile |
| 16 | Ukraine | 0 1000 t | 2023 | — | flat |
| 16 | Uruguay | 0 1000 t | 2017 | — | flat |
| 16 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 16 | Melanesia | 0 1000 t | 2023 | — | flat |
| 16 | Caribbean | 0 1000 t | 2023 | — | flat |
| 16 | Bolivia (Plurinational State of) | 0 1000 t | 2017 | — | flat |
| 16 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 16 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 16 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 16 | Viet Nam | 0 1000 t | 2023 | down 100.0% | volatile |
| 16 | Türkiye | 0 1000 t | 2023 | — | flat |
| 16 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 16 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 16 | United Republic of Tanzania | 0 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 62 1000 t
- Asia 42 1000 t
- Eastern Asia 24 1000 t
- Southern Asia 13 1000 t
- Europe 12 1000 t
- European Union (27) 8 1000 t
- Americas 7 1000 t
- Western Europe 7 1000 t
- Least Developed Countries (LDCs) 5 1000 t
- Net Food Importing Developing Countries (NFIDCs) 5 1000 t
- Eastern Europe 4 1000 t
- Central America 4 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.