Sweet potatoes — Import 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 — Import quantity is currently reported for 88 countries. The highest value is 201 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in Lao People's Democratic Republic.
The median across all reporting countries is 2 1000 t, and the mean is 11.94 1000 t.
Over the past decade 25 countries rose and 6 fell. The largest increase was in Belgium (up 1,600.0%), and the largest decrease in Haiti (down 100.0%).
Sweet potatoes — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 201 1000 t | 2023 | up 528.1% | volatile |
| 2 | United Kingdom | 124 1000 t | 2023 | up 87.9% | rising |
| 2 | United Kingdom of Great Britain and Northern Ireland | 124 1000 t | 2023 | up 87.9% | rising |
| 4 | Canada | 78 1000 t | 2023 | up 52.9% | rising |
| 5 | France | 67 1000 t | 2023 | up 378.6% | volatile |
| 6 | Germany | 52 1000 t | 2023 | up 642.9% | volatile |
| 7 | Belgium | 51 1000 t | 2023 | up 1,600.0% | volatile |
| 8 | United States | 45 1000 t | 2023 | up 200.0% | volatile |
| 9 | Vietnam | 24 1000 t | 2023 | — | volatile |
| 9 | Viet Nam | 24 1000 t | 2023 | — | volatile |
| 11 | Italy | 23 1000 t | 2023 | up 64.3% | rising |
| 11 | Saudi Arabia | 23 1000 t | 2023 | up 360.0% | volatile |
| 13 | Malaysia | 22 1000 t | 2023 | up 120.0% | rising |
| 14 | United Arab Emirates | 15 1000 t | 2023 | up 650.0% | volatile |
| 15 | Thailand | 14 1000 t | 2023 | down 6.7% | rising |
| 16 | China | 11 1000 t | 2023 | up 450.0% | volatile |
| 16 | Spain | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 18 | Poland | 10 1000 t | 2023 | up 900.0% | volatile |
| 19 | Ireland | 7 1000 t | 2023 | up 250.0% | volatile |
| 19 | Mauritania | 7 1000 t | 2023 | — | volatile |
| 21 | Argentina | 6 1000 t | 2023 | — | volatile |
| 21 | Sweden | 6 1000 t | 2023 | up 500.0% | volatile |
| 23 | Switzerland | 5 1000 t | 2023 | up 400.0% | volatile |
| 23 | Chile | 5 1000 t | 2023 | up 400.0% | volatile |
| 23 | China, mainland | 5 1000 t | 2023 | — | volatile |
| 26 | Austria | 4 1000 t | 2023 | — | volatile |
| 26 | Czechia | 4 1000 t | 2023 | — | volatile |
| 26 | Finland | 4 1000 t | 2023 | up 33.3% | rising |
| 26 | Hungary | 4 1000 t | 2023 | — | volatile |
| 26 | Lebanon | 4 1000 t | 2023 | up 100.0% | rising |
| 26 | Norway | 4 1000 t | 2023 | up 300.0% | volatile |
| 26 | Romania | 4 1000 t | 2023 | — | volatile |
| 26 | Russia | 4 1000 t | 2023 | — | volatile |
| 26 | China, Hong Kong SAR | 4 1000 t | 2023 | up 300.0% | volatile |
| 26 | Russian Federation | 4 1000 t | 2023 | — | volatile |
| 36 | Mexico | 3 1000 t | 2023 | up 50.0% | rising |
| 36 | Paraguay | 3 1000 t | 2023 | — | volatile |
| 36 | Slovenia | 3 1000 t | 2023 | — | volatile |
| 39 | Bulgaria | 2 1000 t | 2023 | — | volatile |
| 39 | Denmark | 2 1000 t | 2023 | — | volatile |
| 39 | Jordan | 2 1000 t | 2023 | — | volatile |
| 39 | Kuwait | 2 1000 t | 2023 | up 100.0% | volatile |
| 39 | Niger | 2 1000 t | 2023 | down 33.3% | volatile |
| 39 | Portugal | 2 1000 t | 2023 | — | volatile |
| 39 | Slovakia | 2 1000 t | 2023 | — | volatile |
| 39 | Uruguay | 2 1000 t | 2023 | unchanged | volatile |
| 39 | Australia and New Zealand | 2 1000 t | 2023 | — | volatile |
| 48 | Australia | 1 1000 t | 2023 | — | volatile |
| 48 | Bahrain | 1 1000 t | 2023 | — | flat |
| 48 | Botswana | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Greece | 1 1000 t | 2023 | — | volatile |
| 48 | Honduras | 1 1000 t | 2023 | — | volatile |
| 48 | Croatia | 1 1000 t | 2023 | — | volatile |
| 48 | Iceland | 1 1000 t | 2023 | — | volatile |
| 48 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 48 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 48 | Latvia | 1 1000 t | 2023 | — | volatile |
| 48 | Maldives | 1 1000 t | 2023 | — | volatile |
| 48 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Nepal | 1 1000 t | 2023 | — | volatile |
| 48 | New Zealand | 1 1000 t | 2023 | — | volatile |
| 48 | Oman | 1 1000 t | 2023 | — | volatile |
| 48 | Qatar | 1 1000 t | 2023 | — | flat |
| 48 | Serbia | 1 1000 t | 2023 | — | volatile |
| 48 | Turkey | 1 1000 t | 2023 | — | volatile |
| 48 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 48 | South Africa | 1 1000 t | 2023 | — | volatile |
| 48 | Caribbean | 1 1000 t | 2023 | down 75.0% | volatile |
| 48 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 48 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | volatile |
| 48 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 72 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 72 | Albania | 0 1000 t | 2023 | — | volatile |
| 72 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 72 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 72 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 72 | Estonia | 0 1000 t | 2023 | — | volatile |
| 72 | Gabon | 0 1000 t | 2023 | — | volatile |
| 72 | Haiti | 0 1000 t | 2020 | down 100.0% | volatile |
| 72 | Iraq | 0 1000 t | 2023 | — | volatile |
| 72 | Kenya | 0 1000 t | 2023 | — | volatile |
| 72 | Laos | 0 1000 t | 2023 | — | volatile |
| 72 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 72 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 72 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 72 | Lao People's Democratic Republic | 0 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 906 1000 t
- Europe 607 1000 t
- European Union (27) 465 1000 t
- Western Europe 381 1000 t
- Northern Europe 151 1000 t
- Americas 145 1000 t
- Asia 137 1000 t
- Northern America 123 1000 t
- South-Eastern Asia 60 1000 t
- Western Asia 51 1000 t
- United States of America 45 1000 t
- Southern Europe 44 1000 t
- Eastern Europe 31 1000 t
- Eastern Asia 24 1000 t
- Net Food Importing Developing Countries (NFIDCs) 19 1000 t
- South America 18 1000 t
- Africa 15 1000 t
- Least Developed Countries (LDCs) 13 1000 t
- Low Income Food Deficit Countries (LIFDCs) 13 1000 t
- Western Africa 12 1000 t
- Land Locked Developing Countries (LLDCs) 9 1000 t
- Central America 4 1000 t
- Oceania 2 1000 t
- Small island developing States (SIDS) 2 1000 t
- Southern Africa 2 1000 t
- Southern Asia 2 1000 t
- Eastern Africa 1 1000 t
- Central Asia 0 1000 t
- Middle Africa 0 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.