Sesame seed — Feed 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
Sesame seed — Feed is currently reported for 114 countries. The highest value is 73 1000 t in China; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 4.08 1000 t.
Over the past decade 11 countries rose and 9 fell. The largest increase was in Burkina Faso (up 500.0%), and the largest decrease in Kenya (down 100.0%).
Sesame seed — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 73 1000 t | 2023 | down 5.2% | rising |
| 1 | China, mainland | 73 1000 t | 2023 | down 5.2% | rising |
| 3 | United Republic of Tanzania | 67 1000 t | 2023 | down 57.6% | volatile |
| 4 | India | 52 1000 t | 2023 | up 160.0% | rising |
| 5 | Burkina Faso | 48 1000 t | 2023 | up 500.0% | volatile |
| 6 | Myanmar | 43 1000 t | 2023 | — | volatile |
| 7 | Cameroon | 16 1000 t | 2023 | up 60.0% | rising |
| 8 | Senegal | 15 1000 t | 2023 | — | rising |
| 9 | Israel | 11 1000 t | 2023 | up 37.5% | rising |
| 10 | Brazil | 10 1000 t | 2023 | up 400.0% | volatile |
| 10 | Türkiye | 10 1000 t | 2023 | up 66.7% | falling |
| 12 | Viet Nam | 5 1000 t | 2023 | down 28.6% | falling |
| 13 | Malawi | 4 1000 t | 2023 | — | volatile |
| 14 | Greece | 3 1000 t | 2023 | up 50.0% | rising |
| 14 | Iraq | 3 1000 t | 2023 | up 200.0% | volatile |
| 14 | Saudi Arabia | 3 1000 t | 2023 | up 200.0% | volatile |
| 14 | Ukraine | 3 1000 t | 2023 | unchanged | rising |
| 14 | Russian Federation | 3 1000 t | 2023 | up 200.0% | rising |
| 19 | Spain | 2 1000 t | 2023 | up 100.0% | rising |
| 19 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 19 | Syrian Arab Republic | 2 1000 t | 2023 | unchanged | volatile |
| 22 | Afghanistan | 1 1000 t | 2023 | — | flat |
| 22 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 22 | Canada | 1 1000 t | 2023 | unchanged | volatile |
| 22 | Colombia | 1 1000 t | 2023 | — | volatile |
| 22 | Algeria | 1 1000 t | 2023 | — | volatile |
| 22 | Guinea-Bissau | 1 1000 t | 2018 | — | volatile |
| 22 | Guatemala | 1 1000 t | 2023 | down 50.0% | volatile |
| 22 | Indonesia | 1 1000 t | 2023 | — | volatile |
| 22 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 22 | Mozambique | 1 1000 t | 2023 | unchanged | volatile |
| 22 | Niger | 1 1000 t | 2023 | unchanged | volatile |
| 22 | Nepal | 1 1000 t | 2023 | — | volatile |
| 22 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 22 | Romania | 1 1000 t | 2023 | — | volatile |
| 22 | Thailand | 1 1000 t | 2023 | unchanged | falling |
| 22 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 22 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 39 | Angola | 0 1000 t | 2023 | — | flat |
| 39 | Albania | 0 1000 t | 2023 | — | flat |
| 39 | Austria | 0 1000 t | 2022 | — | flat |
| 39 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 39 | Belarus | 0 1000 t | 2023 | — | flat |
| 39 | Barbados | 0 1000 t | 2023 | — | flat |
| 39 | Bhutan | 0 1000 t | 2023 | — | flat |
| 39 | Switzerland | 0 1000 t | 2023 | — | flat |
| 39 | Chile | 0 1000 t | 2023 | — | volatile |
| 39 | Congo | 0 1000 t | 2023 | — | flat |
| 39 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 39 | Cuba | 0 1000 t | 2019 | — | flat |
| 39 | Cyprus | 0 1000 t | 2023 | — | flat |
| 39 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 39 | Egypt | 0 1000 t | 2023 | — | flat |
| 39 | Estonia | 0 1000 t | 2023 | — | flat |
| 39 | Finland | 0 1000 t | 2023 | — | flat |
| 39 | Gabon | 0 1000 t | 2023 | — | flat |
| 39 | Grenada | 0 1000 t | 2023 | — | flat |
| 39 | Honduras | 0 1000 t | 2023 | — | flat |
| 39 | Croatia | 0 1000 t | 2023 | — | flat |
| 39 | Haiti | 0 1000 t | 2023 | — | flat |
| 39 | Hungary | 0 1000 t | 2023 | — | flat |
| 39 | Ireland | 0 1000 t | 2023 | — | flat |
| 39 | Jamaica | 0 1000 t | 2023 | — | flat |
| 39 | Jordan | 0 1000 t | 2023 | — | flat |
| 39 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 39 | Libya | 0 1000 t | 2023 | — | flat |
| 39 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 39 | Lesotho | 0 1000 t | 2023 | — | flat |
| 39 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 39 | Luxembourg | 0 1000 t | 2022 | — | flat |
| 39 | Latvia | 0 1000 t | 2023 | — | flat |
| 39 | Madagascar | 0 1000 t | 2023 | — | flat |
| 39 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 39 | Malta | 0 1000 t | 2023 | — | flat |
| 39 | Mauritius | 0 1000 t | 2023 | — | flat |
| 39 | Malaysia | 0 1000 t | 2023 | — | flat |
| 39 | Namibia | 0 1000 t | 2023 | — | flat |
| 39 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 39 | Norway | 0 1000 t | 2023 | — | flat |
| 39 | New Zealand | 0 1000 t | 2023 | — | flat |
| 39 | Oman | 0 1000 t | 2023 | — | flat |
| 39 | Panama | 0 1000 t | 2023 | — | flat |
| 39 | Philippines | 0 1000 t | 2023 | — | flat |
| 39 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 39 | Portugal | 0 1000 t | 2023 | — | flat |
| 39 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 39 | Qatar | 0 1000 t | 2023 | — | flat |
| 39 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 39 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 39 | El Salvador | 0 1000 t | 2023 | — | flat |
| 39 | Suriname | 0 1000 t | 2023 | — | flat |
| 39 | Slovakia | 0 1000 t | 2023 | — | flat |
| 39 | Slovenia | 0 1000 t | 2023 | — | flat |
| 39 | Eswatini | 0 1000 t | 2023 | — | flat |
| 39 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 39 | Turkmenistan | 0 1000 t | 2018 | — | flat |
| 39 | Tunisia | 0 1000 t | 2023 | — | flat |
| 39 | Uganda | 0 1000 t | 2023 | — | flat |
| 39 | Uruguay | 0 1000 t | 2023 | — | flat |
| 39 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 39 | Samoa | 0 1000 t | 2023 | — | flat |
| 39 | Zambia | 0 1000 t | 2023 | — | flat |
| 39 | Melanesia | 0 1000 t | 2023 | — | flat |
| 39 | Polynesia | 0 1000 t | 2023 | — | flat |
| 39 | Caribbean | 0 1000 t | 2023 | — | flat |
| 39 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2019 | — | flat |
| 39 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 39 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 39 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 39 | United Kingdom of Great Britain and Northern Ireland | 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 424 1000 t
- Asia 216 1000 t
- Net Food Importing Developing Countries (NFIDCs) 212 1000 t
- Least Developed Countries (LDCs) 209 1000 t
- Low Income Food Deficit Countries (LIFDCs) 186 1000 t
- Africa 181 1000 t
- Land Locked Developing Countries (LLDCs) 85 1000 t
- Western Africa 75 1000 t
- Eastern Asia 74 1000 t
- Eastern Africa 72 1000 t
- Southern Asia 54 1000 t
- South-eastern Asia 52 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.