Sesame seed — Domestic supply 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
Sesame seed — Domestic supply quantity is currently reported for 122 countries. The highest value is 1,370 1000 t in China; the lowest is -6 1000 t in Argentina.
The median across all reporting countries is 7 1000 t, and the mean is 53.39 1000 t.
The gap between the highest and lowest reporting country is a factor of about 228.
Over the past decade 46 countries rose and 38 fell. The largest increase was in Venezuela (Bolivarian Republic of) (up 1,000.0%), and the largest decrease in Argentina (down 700.0%).
Sesame seed — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,370 1000 t | 2023 | up 25.6% | rising |
| 2 | China, mainland | 1,336 1000 t | 2023 | up 27.2% | rising |
| 3 | India | 576 1000 t | 2023 | up 24.7% | rising |
| 4 | Myanmar | 562 1000 t | 2023 | down 24.5% | falling |
| 5 | Nigeria | 300 1000 t | 2023 | down 30.6% | volatile |
| 6 | Burkina Faso | 180 1000 t | 2023 | up 445.5% | volatile |
| 7 | Turkey | 177 1000 t | 2023 | up 78.8% | rising |
| 7 | Türkiye | 177 1000 t | 2023 | up 78.8% | rising |
| 9 | United Republic of Tanzania | 131 1000 t | 2023 | down 60.5% | volatile |
| 10 | Brazil | 130 1000 t | 2023 | up 983.3% | volatile |
| 11 | Uganda | 125 1000 t | 2023 | up 22.5% | rising |
| 12 | Niger | 100 1000 t | 2023 | up 96.1% | rising |
| 13 | Cameroon | 71 1000 t | 2023 | up 31.5% | rising |
| 14 | Israel | 64 1000 t | 2023 | up 30.6% | rising |
| 15 | Republic of Korea | 61 1000 t | 2023 | down 30.7% | falling |
| 16 | Mexico | 60 1000 t | 2023 | up 5.3% | rising |
| 16 | Saudi Arabia | 60 1000 t | 2023 | up 36.4% | rising |
| 18 | Mozambique | 52 1000 t | 2023 | up 173.7% | volatile |
| 19 | Vietnam | 50 1000 t | 2023 | down 10.7% | falling |
| 19 | Viet Nam | 50 1000 t | 2023 | down 10.7% | falling |
| 21 | Ethiopia | 44 1000 t | 2023 | up 91.3% | volatile |
| 22 | Jordan | 40 1000 t | 2023 | up 73.9% | rising |
| 22 | Pakistan | 40 1000 t | 2023 | up 300.0% | volatile |
| 24 | Thailand | 39 1000 t | 2023 | up 25.8% | flat |
| 24 | Iran (Islamic Republic of) | 39 1000 t | 2023 | down 44.3% | flat |
| 26 | Egypt | 38 1000 t | 2023 | down 17.4% | falling |
| 27 | China, Taiwan Province of | 33 1000 t | 2023 | down 17.5% | falling |
| 28 | Greece | 31 1000 t | 2023 | down 3.1% | rising |
| 28 | Senegal | 31 1000 t | 2023 | up 381.8% | volatile |
| 30 | Guatemala | 29 1000 t | 2023 | down 27.5% | falling |
| 31 | Germany | 27 1000 t | 2023 | up 3.8% | flat |
| 32 | Syria | 26 1000 t | 2023 | down 36.6% | volatile |
| 32 | United States | 26 1000 t | 2023 | down 18.8% | falling |
| 32 | Syrian Arab Republic | 26 1000 t | 2023 | down 36.6% | volatile |
| 35 | Lebanon | 25 1000 t | 2023 | down 3.8% | flat |
| 35 | Yemen | 25 1000 t | 2023 | down 21.9% | falling |
| 37 | Bangladesh | 16 1000 t | 2023 | up 45.5% | flat |
| 37 | Uzbekistan | 16 1000 t | 2023 | up 300.0% | volatile |
| 39 | Iraq | 14 1000 t | 2023 | unchanged | falling |
| 40 | Afghanistan | 13 1000 t | 2023 | down 31.6% | rising |
| 40 | Cambodia | 13 1000 t | 2023 | down 50.0% | falling |
| 40 | Tunisia | 13 1000 t | 2023 | up 8.3% | flat |
| 43 | Russia | 12 1000 t | 2023 | up 33.3% | rising |
| 43 | Zimbabwe | 12 1000 t | 2023 | — | volatile |
| 43 | Russian Federation | 12 1000 t | 2023 | up 33.3% | rising |
| 46 | United Arab Emirates | 11 1000 t | 2023 | unchanged | falling |
| 46 | Indonesia | 11 1000 t | 2023 | up 22.2% | rising |
| 46 | Venezuela (Bolivarian Republic of) | 11 1000 t | 2023 | up 1,000.0% | rising |
| 49 | Morocco | 10 1000 t | 2023 | up 150.0% | rising |
| 49 | Malaysia | 10 1000 t | 2023 | down 54.5% | falling |
| 49 | Paraguay | 10 1000 t | 2023 | up 25.0% | volatile |
| 52 | Canada | 9 1000 t | 2023 | up 28.6% | rising |
| 52 | Italy | 9 1000 t | 2023 | down 10.0% | rising |
| 52 | Sri Lanka | 9 1000 t | 2023 | unchanged | falling |
| 55 | Algeria | 8 1000 t | 2023 | up 100.0% | rising |
| 55 | Laos | 8 1000 t | 2023 | down 11.1% | falling |
| 55 | Poland | 8 1000 t | 2023 | down 20.0% | falling |
| 55 | Lao People's Democratic Republic | 8 1000 t | 2023 | down 11.1% | falling |
| 59 | Australia | 7 1000 t | 2023 | up 16.7% | rising |
| 59 | France | 7 1000 t | 2023 | down 30.0% | flat |
| 59 | Australia and New Zealand | 7 1000 t | 2023 | unchanged | rising |
| 59 | Netherlands (Kingdom of the) | 7 1000 t | 2023 | down 22.2% | rising |
| 63 | Spain | 6 1000 t | 2023 | up 50.0% | rising |
| 64 | Colombia | 5 1000 t | 2023 | up 150.0% | volatile |
| 64 | Oman | 5 1000 t | 2023 | — | volatile |
| 64 | Democratic Republic of the Congo | 5 1000 t | 2023 | up 25.0% | rising |
| 64 | Caribbean | 5 1000 t | 2023 | up 25.0% | rising |
| 68 | United Kingdom | 4 1000 t | 2023 | down 42.9% | falling |
| 68 | Haiti | 4 1000 t | 2023 | unchanged | flat |
| 68 | Malawi | 4 1000 t | 2023 | — | volatile |
| 68 | Sierra Leone | 4 1000 t | 2023 | up 33.3% | rising |
| 68 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | down 42.9% | falling |
| 73 | Angola | 3 1000 t | 2023 | unchanged | flat |
| 73 | Kuwait | 3 1000 t | 2023 | unchanged | rising |
| 73 | Romania | 3 1000 t | 2023 | up 50.0% | rising |
| 73 | Tajikistan | 3 1000 t | 2023 | up 200.0% | volatile |
| 73 | Ukraine | 3 1000 t | 2023 | down 25.0% | rising |
| 78 | Cote d'Ivoire | 2 1000 t | 2023 | unchanged | falling |
| 78 | Cyprus | 2 1000 t | 2023 | unchanged | flat |
| 78 | Guinea | 2 1000 t | 2023 | — | volatile |
| 78 | Kenya | 2 1000 t | 2023 | down 87.5% | falling |
| 78 | North Macedonia | 2 1000 t | 2023 | up 100.0% | rising |
| 78 | Norway | 2 1000 t | 2023 | up 100.0% | rising |
| 78 | Nepal | 2 1000 t | 2023 | up 100.0% | rising |
| 78 | Peru | 2 1000 t | 2023 | up 100.0% | rising |
| 78 | Philippines | 2 1000 t | 2023 | up 100.0% | rising |
| 78 | Serbia | 2 1000 t | 2023 | unchanged | rising |
| 78 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | down 50.0% | volatile |
| 78 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | falling |
| 90 | Belgium | 1 1000 t | 2023 | down 50.0% | falling |
| 90 | Bulgaria | 1 1000 t | 2023 | unchanged | rising |
| 90 | Switzerland | 1 1000 t | 2023 | unchanged | rising |
| 90 | Czechia | 1 1000 t | 2023 | unchanged | flat |
| 90 | Denmark | 1 1000 t | 2023 | down 50.0% | falling |
| 90 | Honduras | 1 1000 t | 2023 | — | volatile |
| 90 | Croatia | 1 1000 t | 2023 | — | volatile |
| 90 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 90 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 90 | Libya | 1 1000 t | 2023 | — | volatile |
| 90 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 90 | El Salvador | 1 1000 t | 2023 | down 50.0% | falling |
| 90 | Sweden | 1 1000 t | 2023 | down 50.0% | falling |
| 90 | South Africa | 1 1000 t | 2023 | unchanged | rising |
| 90 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | rising |
| 105 | Armenia | 0 1000 t | 2023 | — | volatile |
| 105 | Austria | 0 1000 t | 2023 | down 100.0% | falling |
| 105 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 105 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 105 | Chile | 0 1000 t | 2023 | — | volatile |
| 105 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 105 | Djibouti | 0 1000 t | 2023 | up 100.0% | volatile |
| 105 | Finland | 0 1000 t | 2023 | — | volatile |
| 105 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 105 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 105 | Ireland | 0 1000 t | 2023 | — | volatile |
| 105 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 105 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 105 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 190 | Turkmenistan | -1 1000 t | 2023 | — | volatile |
| 191 | Gambia | -2 1000 t | 2023 | down 200.0% | volatile |
| 192 | Argentina | -6 1000 t | 2023 | down 700.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 6,660 1000 t
- Asia 3,467 1000 t
- Net Food Importing Developing Countries (NFIDCs) 3,117 1000 t
- Least Developed Countries (LDCs) 2,946 1000 t
- Africa 2,763 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,474 1000 t
- Eastern Asia 1,596 1000 t
- Northern Africa 1,132 1000 t
- Land Locked Developing Countries (LLDCs) 1,070 1000 t
- Southern Asia 696 1000 t
- South-Eastern Asia 694 1000 t
- Western Africa 643 1000 t
- Eastern Africa 562 1000 t
- Western Asia 460 1000 t
- Middle Africa 425 1000 t
- Americas 290 1000 t
- South America 157 1000 t
- Europe 133 1000 t
- European Union (27) 110 1000 t
- Central America 92 1000 t
- Southern Europe 51 1000 t
- Western Europe 44 1000 t
- Northern America 35 1000 t
- Eastern Europe 29 1000 t
- United States of America 26 1000 t
- Central Asia 20 1000 t
- Northern Europe 9 1000 t
- Oceania 8 1000 t
- Small island developing States (SIDS) 5 1000 t
- Southern Africa 1 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.