Sesame seed — 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
Sesame seed — Food is currently reported for 148 countries. The highest value is 582 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 18.59 1000 t.
Over the past decade 26 countries rose and 23 fell. The largest increase was in Brazil (up 850.0%), and the largest decrease in Argentina (down 100.0%).
Sesame seed — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 582 1000 t | 2023 | up 36.6% | rising |
| 2 | China, mainland | 577 1000 t | 2023 | up 37.1% | rising |
| 3 | India | 276 1000 t | 2023 | up 130.0% | rising |
| 4 | Myanmar | 256 1000 t | 2023 | up 14.8% | rising |
| 5 | Nigeria | 142 1000 t | 2023 | down 10.1% | volatile |
| 6 | Burkina Faso | 123 1000 t | 2023 | up 846.2% | volatile |
| 7 | Brazil | 95 1000 t | 2023 | up 850.0% | volatile |
| 8 | Niger | 88 1000 t | 2023 | up 100.0% | rising |
| 9 | Türkiye | 63 1000 t | 2023 | up 61.5% | rising |
| 10 | Israel | 53 1000 t | 2023 | up 47.2% | rising |
| 11 | Uganda | 50 1000 t | 2023 | up 19.0% | flat |
| 12 | Egypt | 34 1000 t | 2023 | down 20.9% | falling |
| 13 | Cameroon | 32 1000 t | 2023 | up 18.5% | rising |
| 14 | Republic of Korea | 26 1000 t | 2023 | up 23.8% | rising |
| 15 | Ethiopia | 25 1000 t | 2023 | up 733.3% | volatile |
| 16 | Thailand | 23 1000 t | 2023 | up 130.0% | rising |
| 17 | Guatemala | 22 1000 t | 2023 | down 26.7% | falling |
| 18 | Jordan | 16 1000 t | 2023 | up 166.7% | rising |
| 19 | Senegal | 15 1000 t | 2023 | — | volatile |
| 19 | Syrian Arab Republic | 15 1000 t | 2023 | down 11.8% | volatile |
| 21 | Iran (Islamic Republic of) | 14 1000 t | 2023 | — | falling |
| 22 | Greece | 13 1000 t | 2023 | down 18.8% | rising |
| 23 | Tunisia | 12 1000 t | 2023 | unchanged | flat |
| 24 | Zimbabwe | 11 1000 t | 2023 | — | volatile |
| 25 | Indonesia | 10 1000 t | 2023 | up 11.1% | flat |
| 25 | Uzbekistan | 10 1000 t | 2023 | up 233.3% | rising |
| 27 | Cambodia | 9 1000 t | 2023 | down 60.9% | falling |
| 27 | Russian Federation | 9 1000 t | 2023 | unchanged | rising |
| 29 | Afghanistan | 8 1000 t | 2023 | down 38.5% | rising |
| 29 | Canada | 8 1000 t | 2023 | up 33.3% | rising |
| 29 | Iraq | 8 1000 t | 2023 | up 60.0% | rising |
| 29 | Lebanon | 8 1000 t | 2023 | down 38.5% | falling |
| 29 | Yemen | 8 1000 t | 2023 | down 27.3% | falling |
| 34 | United Arab Emirates | 7 1000 t | 2023 | down 12.5% | falling |
| 34 | Algeria | 7 1000 t | 2023 | up 75.0% | rising |
| 34 | Sri Lanka | 7 1000 t | 2023 | unchanged | falling |
| 34 | Morocco | 7 1000 t | 2023 | up 75.0% | rising |
| 34 | Paraguay | 7 1000 t | 2023 | up 40.0% | volatile |
| 34 | Lao People's Democratic Republic | 7 1000 t | 2023 | down 12.5% | falling |
| 40 | Spain | 4 1000 t | 2023 | unchanged | rising |
| 40 | Haiti | 4 1000 t | 2023 | unchanged | rising |
| 40 | Oman | 4 1000 t | 2023 | — | volatile |
| 40 | Democratic Republic of the Congo | 4 1000 t | 2023 | unchanged | falling |
| 40 | Caribbean | 4 1000 t | 2023 | unchanged | flat |
| 40 | China, Taiwan Province of | 4 1000 t | 2023 | unchanged | flat |
| 40 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | down 42.9% | falling |
| 47 | Angola | 3 1000 t | 2023 | unchanged | rising |
| 47 | Kuwait | 3 1000 t | 2023 | unchanged | rising |
| 47 | Sierra Leone | 3 1000 t | 2023 | unchanged | rising |
| 47 | Tajikistan | 3 1000 t | 2023 | up 200.0% | volatile |
| 51 | Colombia | 2 1000 t | 2023 | unchanged | falling |
| 51 | Kenya | 2 1000 t | 2023 | down 83.3% | falling |
| 51 | Nepal | 2 1000 t | 2023 | up 100.0% | rising |
| 51 | Peru | 2 1000 t | 2023 | up 100.0% | rising |
| 51 | Philippines | 2 1000 t | 2023 | up 100.0% | rising |
| 51 | Romania | 2 1000 t | 2023 | unchanged | flat |
| 51 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | rising |
| 51 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | down 33.3% | rising |
| 59 | Bulgaria | 1 1000 t | 2023 | unchanged | flat |
| 59 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 59 | Cyprus | 1 1000 t | 2023 | down 50.0% | falling |
| 59 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 59 | Libya | 1 1000 t | 2023 | — | volatile |
| 59 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 59 | Norway | 1 1000 t | 2023 | unchanged | rising |
| 59 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 59 | El Salvador | 1 1000 t | 2023 | unchanged | falling |
| 59 | Sweden | 1 1000 t | 2023 | down 50.0% | falling |
| 59 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | down 75.0% | volatile |
| 59 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 71 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Armenia | 0 1000 t | 2023 | — | volatile |
| 71 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 71 | Austria | 0 1000 t | 2023 | down 100.0% | falling |
| 71 | Bahrain | 0 1000 t | 2023 | — | flat |
| 71 | Bahamas | 0 1000 t | 2023 | — | flat |
| 71 | Belize | 0 1000 t | 2023 | — | flat |
| 71 | Barbados | 0 1000 t | 2023 | — | flat |
| 71 | Bhutan | 0 1000 t | 2023 | — | flat |
| 71 | Botswana | 0 1000 t | 2023 | — | flat |
| 71 | Chile | 0 1000 t | 2023 | — | volatile |
| 71 | Congo | 0 1000 t | 2023 | — | flat |
| 71 | Comoros | 0 1000 t | 2017 | — | flat |
| 71 | Cuba | 0 1000 t | 2019 | — | flat |
| 71 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 71 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 71 | Ecuador | 0 1000 t | 2023 | — | flat |
| 71 | Finland | 0 1000 t | 2023 | — | volatile |
| 71 | Fiji | 0 1000 t | 2023 | — | flat |
| 71 | Gabon | 0 1000 t | 2023 | — | flat |
| 71 | Georgia | 0 1000 t | 2023 | — | flat |
| 71 | Ghana | 0 1000 t | 2023 | — | volatile |
| 71 | Guinea | 0 1000 t | 2023 | — | flat |
| 71 | Gambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Grenada | 0 1000 t | 2023 | — | flat |
| 71 | Guyana | 0 1000 t | 2023 | — | flat |
| 71 | Croatia | 0 1000 t | 2023 | — | flat |
| 71 | Ireland | 0 1000 t | 2023 | — | flat |
| 71 | Jamaica | 0 1000 t | 2023 | — | flat |
| 71 | Kiribati | 0 1000 t | 2023 | — | flat |
| 71 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 71 | Liberia | 0 1000 t | 2023 | — | flat |
| 71 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 71 | Lesotho | 0 1000 t | 2023 | — | flat |
| 71 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 71 | Latvia | 0 1000 t | 2023 | — | flat |
| 71 | Maldives | 0 1000 t | 2023 | — | flat |
| 71 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 71 | Malta | 0 1000 t | 2023 | — | flat |
| 71 | Montenegro | 0 1000 t | 2023 | — | flat |
| 71 | Mongolia | 0 1000 t | 2023 | — | flat |
| 71 | Mauritania | 0 1000 t | 2023 | — | flat |
| 71 | Mauritius | 0 1000 t | 2023 | — | flat |
| 71 | Malawi | 0 1000 t | 2023 | — | flat |
| 71 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Namibia | 0 1000 t | 2023 | — | flat |
| 71 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 71 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 71 | Nauru | 0 1000 t | 2023 | — | flat |
| 71 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 71 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 71 | Qatar | 0 1000 t | 2023 | — | flat |
| 71 | Rwanda | 0 1000 t | 2023 | — | flat |
| 71 | Saudi Arabia | 0 1000 t | 2021 | — | flat |
| 71 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 71 | Serbia | 0 1000 t | 2023 | — | flat |
| 71 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 71 | Suriname | 0 1000 t | 2023 | — | flat |
| 71 | Slovakia | 0 1000 t | 2023 | — | flat |
| 71 | Slovenia | 0 1000 t | 2023 | — | flat |
| 71 | Eswatini | 0 1000 t | 2023 | — | flat |
| 71 | Seychelles | 0 1000 t | 2023 | — | flat |
| 71 | Tonga | 0 1000 t | 2023 | — | flat |
| 71 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 71 | Uruguay | 0 1000 t | 2023 | — | flat |
| 71 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 71 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 71 | Samoa | 0 1000 t | 2023 | — | flat |
| 71 | Zambia | 0 1000 t | 2023 | — | flat |
| 71 | Micronesia | 0 1000 t | 2023 | — | flat |
| 71 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 71 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 71 | Melanesia | 0 1000 t | 2023 | — | flat |
| 71 | Polynesia | 0 1000 t | 2023 | — | flat |
| 71 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 71 | 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 2,565 1000 t
- Asia 1,474 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,007 1000 t
- Least Developed Countries (LDCs) 924 1000 t
- Africa 881 1000 t
- Low Income Food Deficit Countries (LIFDCs) 722 1000 t
- Eastern Asia 657 1000 t
- Land Locked Developing Countries (LLDCs) 572 1000 t
- Western Africa 386 1000 t
- South-eastern Asia 308 1000 t
- Southern Asia 306 1000 t
- Middle Africa 203 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.