Sesame seed — Losses 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 — Losses is currently reported for 76 countries. The highest value is 42 1000 t in China; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 3.92 1000 t.
Over the past decade 11 countries rose and 15 fell. The largest increase was in Brazil (up 1,900.0%), and the largest decrease in Greece (down 100.0%).
Sesame seed — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 42 1000 t | 2023 | up 27.3% | rising |
| 1 | Myanmar | 42 1000 t | 2023 | down 2.3% | falling |
| 1 | China, mainland | 42 1000 t | 2023 | up 27.3% | rising |
| 4 | Nigeria | 34 1000 t | 2023 | down 22.7% | rising |
| 5 | Brazil | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 6 | Ethiopia | 15 1000 t | 2023 | down 11.8% | falling |
| 6 | United Republic of Tanzania | 15 1000 t | 2023 | down 53.1% | falling |
| 8 | India | 14 1000 t | 2023 | up 16.7% | flat |
| 9 | Mozambique | 12 1000 t | 2023 | up 300.0% | rising |
| 10 | Niger | 8 1000 t | 2023 | up 100.0% | rising |
| 11 | Burkina Faso | 6 1000 t | 2023 | down 40.0% | falling |
| 12 | Cameroon | 5 1000 t | 2023 | up 25.0% | rising |
| 13 | Egypt | 4 1000 t | 2023 | up 33.3% | rising |
| 13 | Pakistan | 4 1000 t | 2023 | — | volatile |
| 13 | Uganda | 4 1000 t | 2023 | up 33.3% | rising |
| 16 | Guatemala | 3 1000 t | 2023 | down 25.0% | falling |
| 16 | Mexico | 3 1000 t | 2023 | unchanged | flat |
| 16 | Paraguay | 3 1000 t | 2023 | up 50.0% | falling |
| 19 | Thailand | 2 1000 t | 2023 | unchanged | falling |
| 19 | Yemen | 2 1000 t | 2023 | unchanged | falling |
| 19 | Iran (Islamic Republic of) | 2 1000 t | 2023 | down 60.0% | flat |
| 19 | Viet Nam | 2 1000 t | 2023 | down 33.3% | rising |
| 19 | Türkiye | 2 1000 t | 2023 | up 100.0% | rising |
| 24 | Afghanistan | 1 1000 t | 2023 | down 50.0% | rising |
| 24 | Bangladesh | 1 1000 t | 2023 | unchanged | flat |
| 24 | Germany | 1 1000 t | 2023 | unchanged | flat |
| 24 | Iraq | 1 1000 t | 2023 | unchanged | volatile |
| 24 | Italy | 1 1000 t | 2023 | unchanged | flat |
| 24 | Cambodia | 1 1000 t | 2023 | down 50.0% | falling |
| 24 | Sri Lanka | 1 1000 t | 2023 | unchanged | falling |
| 24 | Senegal | 1 1000 t | 2023 | — | volatile |
| 24 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 24 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 24 | Republic of Korea | 1 1000 t | 2023 | unchanged | falling |
| 24 | Lao People's Democratic Republic | 1 1000 t | 2023 | unchanged | flat |
| 36 | Angola | 0 1000 t | 2023 | — | flat |
| 36 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 36 | Bahrain | 0 1000 t | 2023 | — | flat |
| 36 | Bhutan | 0 1000 t | 2023 | — | flat |
| 36 | Congo | 0 1000 t | 2023 | — | flat |
| 36 | Colombia | 0 1000 t | 2023 | — | flat |
| 36 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 36 | Cyprus | 0 1000 t | 2023 | — | flat |
| 36 | Dominican Republic | 0 1000 t | 2019 | — | flat |
| 36 | Ecuador | 0 1000 t | 2023 | — | flat |
| 36 | Guinea | 0 1000 t | 2023 | — | flat |
| 36 | Gambia | 0 1000 t | 2023 | — | flat |
| 36 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Honduras | 0 1000 t | 2023 | — | flat |
| 36 | Haiti | 0 1000 t | 2023 | — | flat |
| 36 | Hungary | 0 1000 t | 2023 | — | flat |
| 36 | Israel | 0 1000 t | 2023 | — | flat |
| 36 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Kenya | 0 1000 t | 2023 | down 100.0% | falling |
| 36 | Lebanon | 0 1000 t | 2023 | — | flat |
| 36 | Morocco | 0 1000 t | 2023 | — | flat |
| 36 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 36 | Malawi | 0 1000 t | 2023 | — | flat |
| 36 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 36 | Panama | 0 1000 t | 2023 | — | flat |
| 36 | Peru | 0 1000 t | 2023 | — | flat |
| 36 | Poland | 0 1000 t | 2023 | — | flat |
| 36 | Portugal | 0 1000 t | 2023 | — | flat |
| 36 | Qatar | 0 1000 t | 2023 | — | flat |
| 36 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 36 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 36 | Tunisia | 0 1000 t | 2023 | — | flat |
| 36 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 36 | Caribbean | 0 1000 t | 2023 | — | flat |
| 36 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 36 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 36 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 36 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 36 | China, Taiwan Province of | 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 391 1000 t
- Net Food Importing Developing Countries (NFIDCs) 250 1000 t
- Least Developed Countries (LDCs) 239 1000 t
- Africa 236 1000 t
- Low Income Food Deficit Countries (LIFDCs) 203 1000 t
- Asia 120 1000 t
- Land Locked Developing Countries (LLDCs) 89 1000 t
- Northern Africa 82 1000 t
- Eastern Africa 63 1000 t
- Western Africa 55 1000 t
- South-eastern Asia 48 1000 t
- Eastern Asia 43 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.