Sesame seed — Stock Variation 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 — Stock Variation is currently reported for 173 countries. The highest value is 126 1000 t in India; the lowest is -17 1000 t in United Republic of Tanzania.
The median across all reporting countries is 0 1000 t, and the mean is 1.84 1000 t.
The gap between the highest and lowest reporting country is a factor of about 7.
Over the past decade 23 countries rose and 16 fell. The largest increase was in Burkina Faso (up 388.9%), and the largest decrease in Mozambique (down 850.0%).
Sesame seed — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 126 1000 t | 2023 | up 152.0% | volatile |
| 2 | Myanmar | 103 1000 t | 2023 | up 157.5% | volatile |
| 3 | Türkiye | 36 1000 t | 2023 | up 71.4% | volatile |
| 4 | Ethiopia | 33 1000 t | 2023 | up 50.0% | volatile |
| 5 | Burkina Faso | 26 1000 t | 2023 | up 388.9% | volatile |
| 6 | Pakistan | 22 1000 t | 2023 | up 344.4% | volatile |
| 7 | Brazil | 10 1000 t | 2023 | — | volatile |
| 8 | Iraq | 9 1000 t | 2023 | up 280.0% | volatile |
| 9 | Egypt | 6 1000 t | 2023 | — | volatile |
| 10 | Nigeria | 5 1000 t | 2023 | — | volatile |
| 11 | Uzbekistan | 4 1000 t | 2023 | — | volatile |
| 12 | Greece | 3 1000 t | 2023 | — | volatile |
| 12 | Poland | 3 1000 t | 2023 | — | volatile |
| 12 | Republic of Korea | 3 1000 t | 2023 | up 200.0% | volatile |
| 15 | Niger | 2 1000 t | 2023 | down 33.3% | volatile |
| 15 | Thailand | 2 1000 t | 2023 | down 50.0% | volatile |
| 15 | Russian Federation | 2 1000 t | 2023 | up 100.0% | volatile |
| 18 | Afghanistan | 1 1000 t | 2023 | down 50.0% | volatile |
| 18 | Guinea | 1 1000 t | 2023 | — | volatile |
| 18 | Romania | 1 1000 t | 2023 | — | volatile |
| 18 | Viet Nam | 1 1000 t | 2023 | down 50.0% | volatile |
| 22 | Angola | 0 1000 t | 2023 | — | flat |
| 22 | Albania | 0 1000 t | 2023 | — | flat |
| 22 | Argentina | 0 1000 t | 2023 | — | volatile |
| 22 | Armenia | 0 1000 t | 2023 | — | flat |
| 22 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 22 | Australia | 0 1000 t | 2023 | — | volatile |
| 22 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 22 | Belgium | 0 1000 t | 2023 | — | flat |
| 22 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 22 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 22 | Bahrain | 0 1000 t | 2023 | — | flat |
| 22 | Bahamas | 0 1000 t | 2023 | — | flat |
| 22 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 22 | Belarus | 0 1000 t | 2023 | — | flat |
| 22 | Belize | 0 1000 t | 2023 | — | flat |
| 22 | Barbados | 0 1000 t | 2023 | — | flat |
| 22 | Bhutan | 0 1000 t | 2023 | — | flat |
| 22 | Botswana | 0 1000 t | 2023 | — | flat |
| 22 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Switzerland | 0 1000 t | 2023 | — | flat |
| 22 | Chile | 0 1000 t | 2023 | — | flat |
| 22 | Congo | 0 1000 t | 2023 | — | flat |
| 22 | Colombia | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 22 | Cuba | 0 1000 t | 2019 | — | flat |
| 22 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 22 | Czechia | 0 1000 t | 2023 | — | flat |
| 22 | Germany | 0 1000 t | 2023 | — | flat |
| 22 | Djibouti | 0 1000 t | 2023 | — | flat |
| 22 | Denmark | 0 1000 t | 2023 | — | flat |
| 22 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 22 | Algeria | 0 1000 t | 2023 | — | volatile |
| 22 | Ecuador | 0 1000 t | 2023 | — | flat |
| 22 | Spain | 0 1000 t | 2023 | — | flat |
| 22 | Estonia | 0 1000 t | 2023 | — | flat |
| 22 | Finland | 0 1000 t | 2023 | — | flat |
| 22 | Fiji | 0 1000 t | 2023 | — | flat |
| 22 | France | 0 1000 t | 2023 | — | flat |
| 22 | Gabon | 0 1000 t | 2023 | — | flat |
| 22 | Georgia | 0 1000 t | 2023 | — | flat |
| 22 | Ghana | 0 1000 t | 2023 | — | volatile |
| 22 | Gambia | 0 1000 t | 2023 | up 100.0% | flat |
| 22 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 22 | Grenada | 0 1000 t | 2023 | — | flat |
| 22 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Guyana | 0 1000 t | 2023 | — | flat |
| 22 | Honduras | 0 1000 t | 2023 | — | flat |
| 22 | Croatia | 0 1000 t | 2023 | — | flat |
| 22 | Haiti | 0 1000 t | 2023 | — | flat |
| 22 | Hungary | 0 1000 t | 2023 | — | flat |
| 22 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Ireland | 0 1000 t | 2023 | — | flat |
| 22 | Iceland | 0 1000 t | 2023 | — | flat |
| 22 | Italy | 0 1000 t | 2023 | — | flat |
| 22 | Jamaica | 0 1000 t | 2023 | — | flat |
| 22 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 22 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 22 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 22 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Liberia | 0 1000 t | 2023 | — | flat |
| 22 | Libya | 0 1000 t | 2023 | — | flat |
| 22 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 22 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Lithuania | 0 1000 t | 2023 | — | flat |
| 22 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 22 | Latvia | 0 1000 t | 2023 | — | flat |
| 22 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Madagascar | 0 1000 t | 2023 | — | flat |
| 22 | Maldives | 0 1000 t | 2023 | — | flat |
| 22 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 22 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 22 | Malta | 0 1000 t | 2023 | — | flat |
| 22 | Montenegro | 0 1000 t | 2023 | — | flat |
| 22 | Mongolia | 0 1000 t | 2023 | — | flat |
| 22 | Mauritania | 0 1000 t | 2023 | — | flat |
| 22 | Mauritius | 0 1000 t | 2023 | — | flat |
| 22 | Malawi | 0 1000 t | 2023 | — | volatile |
| 22 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 22 | Namibia | 0 1000 t | 2023 | — | flat |
| 22 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 22 | Norway | 0 1000 t | 2023 | — | flat |
| 22 | Nepal | 0 1000 t | 2023 | — | volatile |
| 22 | Nauru | 0 1000 t | 2023 | — | flat |
| 22 | New Zealand | 0 1000 t | 2023 | — | flat |
| 22 | Oman | 0 1000 t | 2023 | — | volatile |
| 22 | Panama | 0 1000 t | 2023 | — | flat |
| 22 | Peru | 0 1000 t | 2023 | — | flat |
| 22 | Philippines | 0 1000 t | 2023 | — | flat |
| 22 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 22 | Portugal | 0 1000 t | 2023 | — | flat |
| 22 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Qatar | 0 1000 t | 2023 | — | flat |
| 22 | Rwanda | 0 1000 t | 2023 | — | flat |
| 22 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Senegal | 0 1000 t | 2023 | — | volatile |
| 22 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 22 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 22 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 22 | Serbia | 0 1000 t | 2023 | — | flat |
| 22 | Suriname | 0 1000 t | 2023 | — | flat |
| 22 | Slovakia | 0 1000 t | 2023 | — | flat |
| 22 | Slovenia | 0 1000 t | 2023 | — | flat |
| 22 | Sweden | 0 1000 t | 2023 | — | flat |
| 22 | Eswatini | 0 1000 t | 2023 | — | flat |
| 22 | Seychelles | 0 1000 t | 2023 | — | flat |
| 22 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 22 | Tonga | 0 1000 t | 2023 | — | flat |
| 22 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 22 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 22 | Uganda | 0 1000 t | 2023 | — | flat |
| 22 | Ukraine | 0 1000 t | 2023 | — | flat |
| 22 | Uruguay | 0 1000 t | 2023 | — | flat |
| 22 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 22 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 22 | Samoa | 0 1000 t | 2023 | — | flat |
| 22 | Yemen | 0 1000 t | 2023 | — | volatile |
| 22 | Zambia | 0 1000 t | 2023 | — | flat |
| 22 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 22 | Micronesia | 0 1000 t | 2023 | — | flat |
| 22 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 22 | Melanesia | 0 1000 t | 2023 | — | flat |
| 22 | Polynesia | 0 1000 t | 2023 | — | flat |
| 22 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 22 | Caribbean | 0 1000 t | 2023 | — | flat |
| 22 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 22 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 22 | Syrian Arab Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 22 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 22 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 22 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 22 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 22 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 22 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 161 | United Arab Emirates | -1 1000 t | 2023 | up 83.3% | volatile |
| 161 | Austria | -1 1000 t | 2023 | — | volatile |
| 161 | Lebanon | -1 1000 t | 2023 | up 66.7% | volatile |
| 161 | Nicaragua | -1 1000 t | 2023 | — | flat |
| 165 | Cameroon | -2 1000 t | 2023 | up 50.0% | volatile |
| 166 | Cambodia | -3 1000 t | 2023 | — | volatile |
| 166 | Mexico | -3 1000 t | 2023 | up 62.5% | volatile |
| 168 | Iran (Islamic Republic of) | -4 1000 t | 2023 | down 157.1% | volatile |
| 169 | Israel | -10 1000 t | 2023 | down 300.0% | volatile |
| 170 | China | -11 1000 t | 2023 | up 45.0% | volatile |
| 170 | China, mainland | -11 1000 t | 2023 | up 45.0% | volatile |
| 172 | Mozambique | -15 1000 t | 2023 | down 850.0% | volatile |
| 173 | United Republic of Tanzania | -17 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 330 1000 t
- Asia 290 1000 t
- Southern Asia 146 1000 t
- Net Food Importing Developing Countries (NFIDCs) 145 1000 t
- Least Developed Countries (LDCs) 116 1000 t
- South-eastern Asia 104 1000 t
- Land Locked Developing Countries (LLDCs) 45 1000 t
- Western Africa 35 1000 t
- Western Asia 34 1000 t
- Africa 24 1000 t
- Low Income Food Deficit Countries (LIFDCs) 17 1000 t
- South America 10 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.