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...

Countries reporting
166
Highest
201 1000 t
Netherlands (Kingdom of the)
Lowest
0 1000 t
United Republic of Tanzania
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,439

What the numbers show

Sweet potatoes — Import quantity is currently reported for 166 countries. The highest value is 201 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in United Republic of Tanzania.

The median across all reporting countries is 0 1000 t, and the mean is 5.13 1000 t.

Over the past decade 23 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 LatestYear 10-year changeTrend
1 Netherlands (Kingdom of the) 201 1000 t 2023 up 528.1% volatile
2 United Kingdom of Great Britain and Northern Ireland 124 1000 t 2023 up 87.9% rising
3 Canada 78 1000 t 2023 up 52.9% rising
4 France 67 1000 t 2023 up 378.6% volatile
5 Germany 52 1000 t 2023 up 642.9% volatile
6 Belgium 51 1000 t 2023 up 1,600.0% volatile
7 Viet Nam 24 1000 t 2023 volatile
8 Italy 23 1000 t 2023 up 64.3% rising
8 Saudi Arabia 23 1000 t 2023 up 360.0% volatile
10 Malaysia 22 1000 t 2023 up 120.0% rising
11 United Arab Emirates 15 1000 t 2023 up 650.0% volatile
12 Thailand 14 1000 t 2023 down 6.7% rising
13 China 11 1000 t 2023 up 450.0% volatile
13 Spain 11 1000 t 2023 up 1,000.0% volatile
15 Poland 10 1000 t 2023 up 900.0% volatile
16 Ireland 7 1000 t 2023 up 250.0% volatile
16 Mauritania 7 1000 t 2023 volatile
18 Argentina 6 1000 t 2023 volatile
18 Sweden 6 1000 t 2023 up 500.0% volatile
20 Switzerland 5 1000 t 2023 up 400.0% volatile
20 Chile 5 1000 t 2023 up 400.0% volatile
20 China, mainland 5 1000 t 2023 volatile
23 Austria 4 1000 t 2023 volatile
23 Czechia 4 1000 t 2023 volatile
23 Finland 4 1000 t 2023 up 33.3% rising
23 Hungary 4 1000 t 2023 volatile
23 Lebanon 4 1000 t 2023 up 100.0% rising
23 Norway 4 1000 t 2023 up 300.0% volatile
23 Romania 4 1000 t 2023 volatile
23 China, Hong Kong SAR 4 1000 t 2023 up 300.0% volatile
23 Russian Federation 4 1000 t 2023 volatile
32 Mexico 3 1000 t 2023 up 50.0% rising
32 Paraguay 3 1000 t 2023 volatile
32 Slovenia 3 1000 t 2023 volatile
35 Bulgaria 2 1000 t 2023 volatile
35 Denmark 2 1000 t 2023 volatile
35 Jordan 2 1000 t 2023 volatile
35 Kuwait 2 1000 t 2023 up 100.0% volatile
35 Niger 2 1000 t 2023 down 33.3% volatile
35 Portugal 2 1000 t 2023 volatile
35 Slovakia 2 1000 t 2023 volatile
35 Uruguay 2 1000 t 2023 unchanged volatile
35 Australia and New Zealand 2 1000 t 2023 volatile
44 Australia 1 1000 t 2023 volatile
44 Bahrain 1 1000 t 2023 flat
44 Botswana 1 1000 t 2023 unchanged volatile
44 Greece 1 1000 t 2023 volatile
44 Honduras 1 1000 t 2023 volatile
44 Croatia 1 1000 t 2023 volatile
44 Iceland 1 1000 t 2023 volatile
44 Lithuania 1 1000 t 2023 volatile
44 Luxembourg 1 1000 t 2023 volatile
44 Latvia 1 1000 t 2023 volatile
44 Maldives 1 1000 t 2023 volatile
44 Namibia 1 1000 t 2023 unchanged volatile
44 Nepal 1 1000 t 2023 volatile
44 New Zealand 1 1000 t 2023 volatile
44 Oman 1 1000 t 2023 volatile
44 Qatar 1 1000 t 2023 flat
44 Serbia 1 1000 t 2023 volatile
44 Ukraine 1 1000 t 2023 volatile
44 Caribbean 1 1000 t 2023 down 75.0% volatile
44 Türkiye 1 1000 t 2023 volatile
44 China, Taiwan Province of 1 1000 t 2023 unchanged volatile
44 China, Macao SAR 1 1000 t 2023 volatile
66 Afghanistan 0 1000 t 2023 volatile
66 Angola 0 1000 t 2023 flat
66 Albania 0 1000 t 2023 volatile
66 Armenia 0 1000 t 2023 flat
66 Antigua and Barbuda 0 1000 t 2023 volatile
66 Azerbaijan 0 1000 t 2023 flat
66 Bangladesh 0 1000 t 2023 flat
66 Bahamas 0 1000 t 2023 flat
66 Bosnia and Herzegovina 0 1000 t 2023 flat
66 Belarus 0 1000 t 2023 flat
66 Belize 0 1000 t 2023 flat
66 Brazil 0 1000 t 2019 flat
66 Barbados 0 1000 t 2023 flat
66 Cameroon 0 1000 t 2022 flat
66 Congo 0 1000 t 2022 flat
66 Colombia 0 1000 t 2023 flat
66 Comoros 0 1000 t 2023 flat
66 Costa Rica 0 1000 t 2023 flat
66 Cyprus 0 1000 t 2023 flat
66 Djibouti 0 1000 t 2021 flat
66 Dominican Republic 0 1000 t 2023 flat
66 Algeria 0 1000 t 2016 flat
66 Ecuador 0 1000 t 2023 volatile
66 Egypt 0 1000 t 2022 flat
66 Estonia 0 1000 t 2023 volatile
66 Ethiopia 0 1000 t 2023 flat
66 Fiji 0 1000 t 2023 flat
66 Gabon 0 1000 t 2023 volatile
66 Georgia 0 1000 t 2023 flat
66 Ghana 0 1000 t 2023 flat
66 Guinea 0 1000 t 2023 flat
66 Gambia 0 1000 t 2023 flat
66 Grenada 0 1000 t 2023 flat
66 Guatemala 0 1000 t 2023 flat
66 Guyana 0 1000 t 2023 flat
66 Haiti 0 1000 t 2020 down 100.0% volatile
66 Indonesia 0 1000 t 2023 flat
66 India 0 1000 t 2022 flat
66 Iraq 0 1000 t 2023 volatile
66 Israel 0 1000 t 2023 flat
66 Jamaica 0 1000 t 2023 flat
66 Kazakhstan 0 1000 t 2023 flat
66 Kenya 0 1000 t 2023 volatile
66 Kyrgyzstan 0 1000 t 2023 flat
66 Cambodia 0 1000 t 2023 flat
66 Kiribati 0 1000 t 2023 flat
66 Saint Kitts and Nevis 0 1000 t 2023 flat
66 Liberia 0 1000 t 2023 flat
66 Libya 0 1000 t 2023 flat
66 Sri Lanka 0 1000 t 2020 flat
66 Lesotho 0 1000 t 2023 flat
66 Morocco 0 1000 t 2023 flat
66 Marshall Islands 0 1000 t 2023 flat
66 North Macedonia 0 1000 t 2023 flat
66 Malta 0 1000 t 2023 flat
66 Myanmar 0 1000 t 2020 flat
66 Montenegro 0 1000 t 2023 flat
66 Mongolia 0 1000 t 2022 flat
66 Mozambique 0 1000 t 2023 flat
66 Mauritius 0 1000 t 2023 flat
66 Malawi 0 1000 t 2023 flat
66 New Caledonia 0 1000 t 2023 flat
66 Nigeria 0 1000 t 2022 flat
66 Nicaragua 0 1000 t 2023 flat
66 Nauru 0 1000 t 2023 flat
66 Pakistan 0 1000 t 2014 flat
66 Panama 0 1000 t 2023 flat
66 Peru 0 1000 t 2023 flat
66 Philippines 0 1000 t 2023 flat
66 Papua New Guinea 0 1000 t 2023 flat
66 French Polynesia 0 1000 t 2023 flat
66 Rwanda 0 1000 t 2023 volatile
66 Senegal 0 1000 t 2023 flat
66 Solomon Islands 0 1000 t 2021 flat
66 El Salvador 0 1000 t 2023 flat
66 Suriname 0 1000 t 2023 flat
66 Eswatini 0 1000 t 2023 flat
66 Seychelles 0 1000 t 2023 flat
66 Trinidad and Tobago 0 1000 t 2023 volatile
66 Tunisia 0 1000 t 2023 flat
66 Uganda 0 1000 t 2023 flat
66 Saint Vincent and the Grenadines 0 1000 t 2022 flat
66 Vanuatu 0 1000 t 2023 flat
66 Samoa 0 1000 t 2023 flat
66 Yemen 0 1000 t 2023 flat
66 Zambia 0 1000 t 2023 flat
66 Zimbabwe 0 1000 t 2022 flat
66 Micronesia 0 1000 t 2023 flat
66 Timor-Leste 0 1000 t 2023 flat
66 Cabo Verde 0 1000 t 2023 flat
66 Melanesia 0 1000 t 2023 flat
66 Polynesia 0 1000 t 2023 flat
66 Democratic Republic of the Congo 0 1000 t 2023 flat
66 Bolivia (Plurinational State of) 0 1000 t 2023 down 100.0% volatile
66 Iran (Islamic Republic of) 0 1000 t 2022 flat
66 Republic of Korea 0 1000 t 2023 down 100.0% volatile
66 Republic of Moldova 0 1000 t 2023 flat
66 Syrian Arab Republic 0 1000 t 2023 flat
66 Côte d'Ivoire 0 1000 t 2023 volatile
66 Lao People's Democratic Republic 0 1000 t 2023 volatile
66 United Republic of Tanzania 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.

About this data

Indicator
Sweet potatoes — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
197 places, 2,439 data points, 2010–2023
Last refreshed

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.