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 89 countries. The highest value is 582 1000 t in China; the lowest is 0 1000 t in China, Hong Kong SAR.
The median across all reporting countries is 4 1000 t, and the mean is 32.31 1000 t.
Over the past decade 27 countries rose and 27 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 | Turkey | 63 1000 t | 2023 | up 61.5% | rising |
| 9 | Türkiye | 63 1000 t | 2023 | up 61.5% | rising |
| 11 | Israel | 53 1000 t | 2023 | up 47.2% | rising |
| 12 | Uganda | 50 1000 t | 2023 | up 19.0% | flat |
| 13 | Egypt | 34 1000 t | 2023 | down 20.9% | falling |
| 14 | Cameroon | 32 1000 t | 2023 | up 18.5% | rising |
| 15 | Republic of Korea | 26 1000 t | 2023 | up 23.8% | rising |
| 16 | Ethiopia | 25 1000 t | 2023 | up 733.3% | volatile |
| 16 | United States | 25 1000 t | 2023 | down 19.4% | falling |
| 18 | Thailand | 23 1000 t | 2023 | up 130.0% | rising |
| 19 | Guatemala | 22 1000 t | 2023 | down 26.7% | falling |
| 20 | Jordan | 16 1000 t | 2023 | up 166.7% | rising |
| 21 | Senegal | 15 1000 t | 2023 | — | volatile |
| 21 | Syria | 15 1000 t | 2023 | down 11.8% | volatile |
| 21 | Syrian Arab Republic | 15 1000 t | 2023 | down 11.8% | volatile |
| 24 | Iran (Islamic Republic of) | 14 1000 t | 2023 | — | falling |
| 25 | Greece | 13 1000 t | 2023 | down 18.8% | rising |
| 26 | Tunisia | 12 1000 t | 2023 | unchanged | flat |
| 27 | Zimbabwe | 11 1000 t | 2023 | — | volatile |
| 28 | Indonesia | 10 1000 t | 2023 | up 11.1% | flat |
| 28 | Uzbekistan | 10 1000 t | 2023 | up 233.3% | rising |
| 30 | Cambodia | 9 1000 t | 2023 | down 60.9% | falling |
| 30 | Russia | 9 1000 t | 2023 | unchanged | rising |
| 30 | Russian Federation | 9 1000 t | 2023 | unchanged | rising |
| 33 | Afghanistan | 8 1000 t | 2023 | down 38.5% | rising |
| 33 | Canada | 8 1000 t | 2023 | up 33.3% | rising |
| 33 | Iraq | 8 1000 t | 2023 | up 60.0% | rising |
| 33 | Lebanon | 8 1000 t | 2023 | down 38.5% | falling |
| 33 | Yemen | 8 1000 t | 2023 | down 27.3% | falling |
| 38 | United Arab Emirates | 7 1000 t | 2023 | down 12.5% | falling |
| 38 | Algeria | 7 1000 t | 2023 | up 75.0% | rising |
| 38 | Laos | 7 1000 t | 2023 | down 12.5% | falling |
| 38 | Sri Lanka | 7 1000 t | 2023 | unchanged | falling |
| 38 | Morocco | 7 1000 t | 2023 | up 75.0% | rising |
| 38 | Paraguay | 7 1000 t | 2023 | up 40.0% | volatile |
| 38 | Lao People's Democratic Republic | 7 1000 t | 2023 | down 12.5% | falling |
| 45 | Spain | 4 1000 t | 2023 | unchanged | rising |
| 45 | United Kingdom | 4 1000 t | 2023 | down 42.9% | falling |
| 45 | Haiti | 4 1000 t | 2023 | unchanged | rising |
| 45 | Oman | 4 1000 t | 2023 | — | volatile |
| 45 | Democratic Republic of the Congo | 4 1000 t | 2023 | unchanged | falling |
| 45 | Caribbean | 4 1000 t | 2023 | unchanged | flat |
| 45 | China, Taiwan Province of | 4 1000 t | 2023 | unchanged | flat |
| 45 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | down 42.9% | falling |
| 53 | Angola | 3 1000 t | 2023 | unchanged | rising |
| 53 | Kuwait | 3 1000 t | 2023 | unchanged | rising |
| 53 | Sierra Leone | 3 1000 t | 2023 | unchanged | rising |
| 53 | Tajikistan | 3 1000 t | 2023 | up 200.0% | volatile |
| 57 | Cote d'Ivoire | 2 1000 t | 2023 | unchanged | rising |
| 57 | Colombia | 2 1000 t | 2023 | unchanged | falling |
| 57 | Kenya | 2 1000 t | 2023 | down 83.3% | falling |
| 57 | Nepal | 2 1000 t | 2023 | up 100.0% | rising |
| 57 | Peru | 2 1000 t | 2023 | up 100.0% | rising |
| 57 | Philippines | 2 1000 t | 2023 | up 100.0% | rising |
| 57 | Romania | 2 1000 t | 2023 | unchanged | flat |
| 57 | Côte d'Ivoire | 2 1000 t | 2023 | unchanged | rising |
| 57 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | down 33.3% | rising |
| 66 | Bulgaria | 1 1000 t | 2023 | unchanged | flat |
| 66 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 66 | Cyprus | 1 1000 t | 2023 | down 50.0% | falling |
| 66 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 66 | Libya | 1 1000 t | 2023 | — | volatile |
| 66 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 66 | Norway | 1 1000 t | 2023 | unchanged | rising |
| 66 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 66 | El Salvador | 1 1000 t | 2023 | unchanged | falling |
| 66 | Sweden | 1 1000 t | 2023 | down 50.0% | falling |
| 66 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | down 75.0% | volatile |
| 66 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 78 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Armenia | 0 1000 t | 2023 | — | volatile |
| 78 | Austria | 0 1000 t | 2023 | down 100.0% | falling |
| 78 | Chile | 0 1000 t | 2023 | — | volatile |
| 78 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 78 | Finland | 0 1000 t | 2023 | — | volatile |
| 78 | Ghana | 0 1000 t | 2023 | — | volatile |
| 78 | Gambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 78 | China, Hong Kong SAR | 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 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
- Western Asia 190 1000 t
- Americas 167 1000 t
- Eastern Africa 164 1000 t
- Northern Africa 128 1000 t
- South America 108 1000 t
- Europe 42 1000 t
- Northern America 33 1000 t
- European Union (27) 27 1000 t
- United States of America 25 1000 t
- Central America 23 1000 t
- Southern Europe 18 1000 t
- Central Asia 13 1000 t
- Eastern Europe 12 1000 t
- Northern Europe 7 1000 t
- Small island developing States (SIDS) 5 1000 t
- Western Europe 4 1000 t
- Oceania 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.