Yams — Export 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
Yams — Export quantity is currently reported for 71 countries. The highest value is 36 1000 t in Ghana; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 2.39 1000 t.
Over the past decade 9 countries rose and 4 fell. The largest increase was in Colombia (up 900.0%), and the largest decrease in Myanmar (down 100.0%).
Yams — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ghana | 36 1000 t | 2023 | up 71.4% | volatile |
| 2 | Côte d'Ivoire | 32 1000 t | 2023 | — | volatile |
| 3 | China | 11 1000 t | 2023 | up 37.5% | rising |
| 3 | Caribbean | 11 1000 t | 2023 | up 37.5% | rising |
| 3 | China, mainland | 11 1000 t | 2023 | up 37.5% | rising |
| 6 | Colombia | 10 1000 t | 2023 | up 900.0% | volatile |
| 6 | Jamaica | 10 1000 t | 2023 | up 25.0% | rising |
| 8 | Costa Rica | 9 1000 t | 2023 | down 52.6% | falling |
| 9 | India | 8 1000 t | 2023 | up 100.0% | volatile |
| 10 | Brazil | 7 1000 t | 2023 | — | volatile |
| 11 | Belgium | 6 1000 t | 2023 | up 500.0% | volatile |
| 12 | Netherlands (Kingdom of the) | 5 1000 t | 2023 | up 400.0% | volatile |
| 13 | Afghanistan | 3 1000 t | 2023 | — | volatile |
| 14 | United Arab Emirates | 2 1000 t | 2023 | — | volatile |
| 15 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 15 | France | 1 1000 t | 2023 | unchanged | volatile |
| 15 | Italy | 1 1000 t | 2023 | unchanged | rising |
| 15 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 15 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 15 | Philippines | 1 1000 t | 2023 | — | volatile |
| 15 | Tonga | 1 1000 t | 2023 | — | falling |
| 15 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 15 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 24 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 24 | Australia | 0 1000 t | 2023 | — | flat |
| 24 | Austria | 0 1000 t | 2023 | — | flat |
| 24 | Burkina Faso | 0 1000 t | 2022 | — | flat |
| 24 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 24 | Botswana | 0 1000 t | 2016 | — | flat |
| 24 | Canada | 0 1000 t | 2023 | — | flat |
| 24 | Switzerland | 0 1000 t | 2021 | — | flat |
| 24 | Cameroon | 0 1000 t | 2023 | — | flat |
| 24 | Czechia | 0 1000 t | 2023 | — | flat |
| 24 | Germany | 0 1000 t | 2023 | — | flat |
| 24 | Denmark | 0 1000 t | 2021 | — | flat |
| 24 | Ecuador | 0 1000 t | 2023 | — | flat |
| 24 | Spain | 0 1000 t | 2023 | — | flat |
| 24 | Fiji | 0 1000 t | 2023 | — | flat |
| 24 | Guatemala | 0 1000 t | 2020 | — | flat |
| 24 | Guyana | 0 1000 t | 2023 | — | flat |
| 24 | Haiti | 0 1000 t | 2023 | — | flat |
| 24 | Indonesia | 0 1000 t | 2023 | — | flat |
| 24 | Kenya | 0 1000 t | 2022 | — | flat |
| 24 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 24 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 24 | Myanmar | 0 1000 t | 2022 | down 100.0% | volatile |
| 24 | Niger | 0 1000 t | 2020 | — | flat |
| 24 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 24 | Nepal | 0 1000 t | 2023 | — | flat |
| 24 | New Zealand | 0 1000 t | 2023 | — | flat |
| 24 | Oman | 0 1000 t | 2022 | — | flat |
| 24 | Pakistan | 0 1000 t | 2023 | — | flat |
| 24 | Panama | 0 1000 t | 2020 | down 100.0% | volatile |
| 24 | Portugal | 0 1000 t | 2023 | — | flat |
| 24 | Senegal | 0 1000 t | 2022 | — | flat |
| 24 | Sweden | 0 1000 t | 2023 | — | flat |
| 24 | Thailand | 0 1000 t | 2023 | — | flat |
| 24 | Trinidad and Tobago | 0 1000 t | 2022 | — | flat |
| 24 | Uganda | 0 1000 t | 2023 | — | flat |
| 24 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 24 | Samoa | 0 1000 t | 2023 | — | flat |
| 24 | Melanesia | 0 1000 t | 2023 | — | flat |
| 24 | Democratic Republic of the Congo | 0 1000 t | 2022 | — | flat |
| 24 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 24 | Republic of Korea | 0 1000 t | 2022 | — | flat |
| 24 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 24 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 24 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 24 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 24 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | China, Macao SAR | 0 1000 t | 2021 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 170 1000 t
- Africa 70 1000 t
- Western Africa 70 1000 t
- Americas 52 1000 t
- Net Food Importing Developing Countries (NFIDCs) 47 1000 t
- Asia 34 1000 t
- Eastern Asia 18 1000 t
- South America 17 1000 t
- Northern America 15 1000 t
- United States of America 15 1000 t
- European Union (27) 13 1000 t
- Europe 13 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.