Sweet potatoes — 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
Sweet potatoes — Export quantity is currently reported for 137 countries. The highest value is 161 1000 t in Egypt; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 4.69 1000 t.
Over the past decade 15 countries rose and 10 fell. The largest increase was in Canada (up 4,600.0%), and the largest decrease in Ecuador (down 100.0%).
Sweet potatoes — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Egypt | 161 1000 t | 2023 | up 906.2% | volatile |
| 2 | Netherlands (Kingdom of the) | 155 1000 t | 2023 | up 933.3% | volatile |
| 3 | Canada | 47 1000 t | 2023 | up 4,600.0% | volatile |
| 4 | China | 33 1000 t | 2023 | up 65.0% | rising |
| 4 | China, mainland | 33 1000 t | 2023 | up 73.7% | rising |
| 6 | Spain | 30 1000 t | 2023 | up 233.3% | volatile |
| 7 | Portugal | 22 1000 t | 2023 | — | volatile |
| 8 | Viet Nam | 20 1000 t | 2023 | up 25.0% | falling |
| 9 | Honduras | 17 1000 t | 2023 | up 142.9% | rising |
| 10 | Indonesia | 15 1000 t | 2023 | up 50.0% | rising |
| 11 | Belgium | 14 1000 t | 2023 | up 600.0% | volatile |
| 12 | Brazil | 13 1000 t | 2023 | up 333.3% | volatile |
| 13 | Caribbean | 11 1000 t | 2023 | down 8.3% | falling |
| 14 | Dominican Republic | 10 1000 t | 2023 | up 11.1% | rising |
| 15 | Peru | 7 1000 t | 2023 | up 75.0% | volatile |
| 16 | Lao People's Democratic Republic | 6 1000 t | 2023 | down 60.0% | volatile |
| 17 | France | 5 1000 t | 2023 | up 150.0% | rising |
| 18 | Germany | 4 1000 t | 2023 | up 300.0% | volatile |
| 18 | Poland | 4 1000 t | 2023 | — | volatile |
| 20 | Mexico | 3 1000 t | 2023 | — | volatile |
| 20 | Thailand | 3 1000 t | 2023 | — | volatile |
| 20 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | down 50.0% | volatile |
| 23 | Argentina | 2 1000 t | 2022 | — | volatile |
| 23 | Costa Rica | 2 1000 t | 2023 | — | volatile |
| 23 | Malaysia | 2 1000 t | 2023 | unchanged | rising |
| 23 | Nigeria | 2 1000 t | 2023 | — | volatile |
| 23 | Slovenia | 2 1000 t | 2023 | — | volatile |
| 23 | Uganda | 2 1000 t | 2023 | — | volatile |
| 29 | Australia | 1 1000 t | 2023 | unchanged | volatile |
| 29 | Czechia | 1 1000 t | 2023 | — | volatile |
| 29 | Denmark | 1 1000 t | 2023 | down 80.0% | volatile |
| 29 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 29 | Hungary | 1 1000 t | 2023 | — | volatile |
| 29 | India | 1 1000 t | 2023 | unchanged | volatile |
| 29 | Israel | 1 1000 t | 2023 | — | volatile |
| 29 | Italy | 1 1000 t | 2023 | down 80.0% | volatile |
| 29 | Jamaica | 1 1000 t | 2023 | down 50.0% | falling |
| 29 | Sri Lanka | 1 1000 t | 2023 | — | volatile |
| 29 | Malawi | 1 1000 t | 2023 | — | volatile |
| 29 | Oman | 1 1000 t | 2023 | — | volatile |
| 29 | Senegal | 1 1000 t | 2023 | — | volatile |
| 29 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 29 | China, Taiwan Province of | 1 1000 t | 2023 | — | volatile |
| 44 | Angola | 0 1000 t | 2023 | — | flat |
| 44 | Albania | 0 1000 t | 2016 | — | volatile |
| 44 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 44 | Antigua and Barbuda | 0 1000 t | 2022 | — | flat |
| 44 | Austria | 0 1000 t | 2023 | — | flat |
| 44 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 44 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 44 | Bahrain | 0 1000 t | 2023 | — | flat |
| 44 | Belarus | 0 1000 t | 2021 | — | flat |
| 44 | Barbados | 0 1000 t | 2018 | — | flat |
| 44 | Botswana | 0 1000 t | 2023 | — | flat |
| 44 | Switzerland | 0 1000 t | 2023 | — | flat |
| 44 | Chile | 0 1000 t | 2019 | — | flat |
| 44 | Cameroon | 0 1000 t | 2023 | — | flat |
| 44 | Colombia | 0 1000 t | 2023 | — | flat |
| 44 | Cyprus | 0 1000 t | 2020 | — | flat |
| 44 | Algeria | 0 1000 t | 2023 | — | flat |
| 44 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Estonia | 0 1000 t | 2023 | — | flat |
| 44 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 44 | Finland | 0 1000 t | 2023 | — | flat |
| 44 | Fiji | 0 1000 t | 2023 | — | flat |
| 44 | Georgia | 0 1000 t | 2023 | — | flat |
| 44 | Ghana | 0 1000 t | 2023 | — | flat |
| 44 | Guinea | 0 1000 t | 2023 | — | flat |
| 44 | Greece | 0 1000 t | 2023 | — | flat |
| 44 | Grenada | 0 1000 t | 2020 | — | flat |
| 44 | Guyana | 0 1000 t | 2023 | — | flat |
| 44 | Croatia | 0 1000 t | 2023 | — | flat |
| 44 | Haiti | 0 1000 t | 2023 | — | flat |
| 44 | Ireland | 0 1000 t | 2023 | — | volatile |
| 44 | Iceland | 0 1000 t | 2023 | — | flat |
| 44 | Jordan | 0 1000 t | 2023 | — | flat |
| 44 | Kenya | 0 1000 t | 2023 | — | flat |
| 44 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 44 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 44 | Saint Kitts and Nevis | 0 1000 t | 2022 | — | flat |
| 44 | Kuwait | 0 1000 t | 2023 | — | flat |
| 44 | Lebanon | 0 1000 t | 2023 | — | flat |
| 44 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 44 | Lithuania | 0 1000 t | 2023 | — | flat |
| 44 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 44 | Latvia | 0 1000 t | 2023 | — | flat |
| 44 | Morocco | 0 1000 t | 2023 | — | volatile |
| 44 | Madagascar | 0 1000 t | 2023 | — | flat |
| 44 | North Macedonia | 0 1000 t | 2022 | — | flat |
| 44 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 44 | Montenegro | 0 1000 t | 2017 | — | flat |
| 44 | Mozambique | 0 1000 t | 2023 | — | flat |
| 44 | Mauritius | 0 1000 t | 2023 | — | flat |
| 44 | Namibia | 0 1000 t | 2021 | — | flat |
| 44 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 44 | Niger | 0 1000 t | 2019 | — | flat |
| 44 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 44 | Norway | 0 1000 t | 2023 | — | flat |
| 44 | Nepal | 0 1000 t | 2023 | — | flat |
| 44 | New Zealand | 0 1000 t | 2023 | — | flat |
| 44 | Pakistan | 0 1000 t | 2023 | — | flat |
| 44 | Panama | 0 1000 t | 2019 | — | flat |
| 44 | Philippines | 0 1000 t | 2023 | — | volatile |
| 44 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 44 | Romania | 0 1000 t | 2023 | — | flat |
| 44 | Rwanda | 0 1000 t | 2021 | down 100.0% | volatile |
| 44 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 44 | El Salvador | 0 1000 t | 2019 | — | flat |
| 44 | Serbia | 0 1000 t | 2023 | — | flat |
| 44 | Suriname | 0 1000 t | 2022 | — | flat |
| 44 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 44 | Sweden | 0 1000 t | 2023 | — | flat |
| 44 | Eswatini | 0 1000 t | 2023 | — | flat |
| 44 | Tonga | 0 1000 t | 2023 | — | flat |
| 44 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 44 | Tunisia | 0 1000 t | 2018 | — | flat |
| 44 | Ukraine | 0 1000 t | 2023 | — | flat |
| 44 | Uruguay | 0 1000 t | 2023 | — | flat |
| 44 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Samoa | 0 1000 t | 2022 | — | flat |
| 44 | Yemen | 0 1000 t | 2023 | — | flat |
| 44 | Zambia | 0 1000 t | 2023 | — | flat |
| 44 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 44 | Melanesia | 0 1000 t | 2023 | — | flat |
| 44 | Polynesia | 0 1000 t | 2023 | — | flat |
| 44 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 44 | Bolivia (Plurinational State of) | 0 1000 t | 2022 | — | flat |
| 44 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 44 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 44 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 44 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 44 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 44 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 44 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 44 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 44 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 44 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 870 1000 t
- Americas 355 1000 t
- Northern America 301 1000 t
- United States of America 254 1000 t
- Europe 243 1000 t
- European Union (27) 240 1000 t
- Net Food Importing Developing Countries (NFIDCs) 214 1000 t
- Africa 182 1000 t
- Western Europe 177 1000 t
- Northern Africa 161 1000 t
- Asia 90 1000 t
- Southern Europe 55 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.