Sweet potatoes — Domestic supply 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
177
Highest
49,579 1000 t
China
Lowest
-19 1000 t
Portugal
Median
4 1000 t
Years covered
14
2010–2023
Data points
2,795

What the numbers show

Sweet potatoes — Domestic supply quantity is currently reported for 177 countries. The highest value is 49,579 1000 t in China; the lowest is -19 1000 t in Portugal.

The median across all reporting countries is 4 1000 t, and the mean is 763.27 1000 t.

The gap between the highest and lowest reporting country is a factor of about 2,609.

Over the past decade 67 countries rose and 30 fell. The largest increase was in Belgium (up 3,700.0%), and the largest decrease in Spain (down 700.0%).

Sweet potatoes — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 49,579 1000 t 2023 down 11.0% falling
2 China, mainland 49,348 1000 t 2023 down 11.1% falling
3 Malawi 7,925 1000 t 2023 volatile
4 Nigeria 4,083 1000 t 2023 up 18.1% rising
5 Angola 2,053 1000 t 2023 up 71.1% rising
6 United Republic of Tanzania 1,798 1000 t 2023 down 36.0% rising
7 Uganda 1,647 1000 t 2023 down 9.1% falling
8 Indonesia 1,542 1000 t 2023 down 29.7% falling
9 Rwanda 1,312 1000 t 2023 up 37.0% rising
10 Madagascar 1,301 1000 t 2023 up 16.4% rising
11 Ethiopia 1,295 1000 t 2023 down 26.1% falling
12 India 1,162 1000 t 2023 up 0.2% flat
13 Viet Nam 927 1000 t 2023 down 31.0% falling
14 Brazil 890 1000 t 2023 up 75.9% rising
15 Melanesia 859 1000 t 2023 up 12.0% rising
16 Papua New Guinea 721 1000 t 2023 up 9.6% rising
17 Kenya 632 1000 t 2023 down 29.9% falling
18 Democratic Republic of the Congo 608 1000 t 2023 up 48.3% rising
19 Cameroon 563 1000 t 2023 up 70.1% rising
20 Philippines 524 1000 t 2023 up 1.0% rising
21 Cuba 484 1000 t 2019 up 25.7% rising
22 Democratic People's Republic of Korea 471 1000 t 2018 up 11.6% rising
23 Mozambique 460 1000 t 2023 down 65.1% falling
25 Guinea 333 1000 t 2023 up 62.4% rising
26 Republic of Korea 325 1000 t 2023 up 18.2% rising
27 Bangladesh 304 1000 t 2023 up 14.7% rising
28 Peru 298 1000 t 2023 up 3.1% flat
29 Egypt 288 1000 t 2023 down 17.7% flat
30 Sierra Leone 250 1000 t 2023 up 14.2% rising
31 Zimbabwe 228 1000 t 2023 up 714.3% volatile
32 China, Taiwan Province of 226 1000 t 2023 up 3.2% flat
33 Niger 184 1000 t 2023 up 102.2% rising
34 Zambia 144 1000 t 2023 down 4.6% falling
35 Ghana 142 1000 t 2023 unchanged rising
36 United Kingdom of Great Britain and Northern Ireland 122 1000 t 2023 up 103.3% rising
37 Argentina 120 1000 t 2023 down 66.7% falling
38 Senegal 115 1000 t 2023 up 228.6% volatile
39 Solomon Islands 112 1000 t 2023 up 12.0% rising
40 Burkina Faso 110 1000 t 2023 down 17.9% flat
41 Lao People's Democratic Republic 107 1000 t 2023 up 50.7% rising
42 Australia and New Zealand 104 1000 t 2023 up 28.4% rising
43 Australia 91 1000 t 2023 up 35.8% rising
44 Haiti 88 1000 t 2023 down 83.8% volatile
45 Uruguay 85 1000 t 2023 up 1.2% rising
46 Mexico 76 1000 t 2023 up 72.7% rising
47 Myanmar 63 1000 t 2023 up 5.0% rising
48 France 62 1000 t 2023 up 416.7% volatile
49 Côte d'Ivoire 60 1000 t 2023 up 25.0% rising
50 Dominican Republic 56 1000 t 2023 up 55.6% rising
51 Sri Lanka 53 1000 t 2023 unchanged flat
52 Germany 48 1000 t 2023 up 585.7% volatile
53 Jamaica 47 1000 t 2023 up 4.4% rising
54 Malaysia 45 1000 t 2023 down 18.2% rising
55 Netherlands (Kingdom of the) 43 1000 t 2023 up 152.9% rising
56 Guinea-Bissau 40 1000 t 2023 volatile
57 Belgium 38 1000 t 2023 up 3,700.0% volatile
58 Cambodia 36 1000 t 2023 down 18.2% falling
59 Paraguay 33 1000 t 2023 down 26.7% flat
60 Canada 31 1000 t 2023 down 31.1% falling
61 Israel 27 1000 t 2023 up 3.8% rising
62 Liberia 25 1000 t 2023 up 13.6% rising
63 Pakistan 23 1000 t 2023 up 91.7% rising
63 Venezuela (Bolivarian Republic of) 23 1000 t 2023 up 76.9% rising
65 Italy 22 1000 t 2023 up 37.5% rising
66 Chile 21 1000 t 2023 up 23.5% rising
66 Guyana 21 1000 t 2023 up 950.0% volatile
68 Saudi Arabia 18 1000 t 2023 up 260.0% volatile
69 Mauritania 14 1000 t 2023 up 600.0% volatile
70 Fiji 13 1000 t 2023 up 44.4% rising
71 United Arab Emirates 12 1000 t 2023 up 300.0% volatile
71 Honduras 12 1000 t 2023 up 500.0% volatile
71 Morocco 12 1000 t 2023 down 42.9% falling
71 New Zealand 12 1000 t 2023 down 7.7% falling
71 Vanuatu 12 1000 t 2023 volatile
76 Comoros 11 1000 t 2023 up 57.1% rising
77 Congo 10 1000 t 2023 up 11.1% rising
77 Eswatini 10 1000 t 2023 up 400.0% volatile
77 Thailand 10 1000 t 2023 down 23.1% rising
80 Ireland 7 1000 t 2023 up 250.0% volatile
80 Polynesia 7 1000 t 2023 volatile
82 Poland 6 1000 t 2023 up 200.0% volatile
82 Sweden 6 1000 t 2023 up 500.0% volatile
82 Tonga 6 1000 t 2023 flat
82 Bolivia (Plurinational State of) 6 1000 t 2023 unchanged rising
86 Switzerland 5 1000 t 2023 up 400.0% volatile
86 Ecuador 5 1000 t 2023 up 150.0% rising
86 Timor-Leste 5 1000 t 2023 down 28.6% falling
89 Austria 4 1000 t 2023 volatile
89 Finland 4 1000 t 2023 up 100.0% rising
89 Gabon 4 1000 t 2023 unchanged rising
89 Lebanon 4 1000 t 2023 up 100.0% rising
89 Norway 4 1000 t 2023 up 300.0% volatile
89 Romania 4 1000 t 2023 volatile
89 China, Hong Kong SAR 4 1000 t 2023 up 300.0% volatile
89 Russian Federation 4 1000 t 2023 volatile
97 Barbados 3 1000 t 2023 up 200.0% rising
97 Czechia 3 1000 t 2023 volatile
97 Hungary 3 1000 t 2023 volatile
97 Micronesia 3 1000 t 2023 volatile
97 Micronesia (Federated States of) 3 1000 t 2023 flat
102 Bahamas 2 1000 t 2023 unchanged rising
102 Botswana 2 1000 t 2023 up 100.0% volatile
102 Denmark 2 1000 t 2023 up 140.0% volatile
102 Jordan 2 1000 t 2023 volatile
102 Kuwait 2 1000 t 2023 up 100.0% volatile
102 Mauritius 2 1000 t 2023 up 100.0% volatile
102 Slovakia 2 1000 t 2023 volatile
102 Cabo Verde 2 1000 t 2023 down 71.4% falling
110 Bulgaria 1 1000 t 2023 volatile
110 Bahrain 1 1000 t 2023 flat
110 Greece 1 1000 t 2023 down 75.0% volatile
110 Guatemala 1 1000 t 2023 volatile
110 Croatia 1 1000 t 2023 volatile
110 Iceland 1 1000 t 2023 volatile
110 Lithuania 1 1000 t 2023 volatile
110 Luxembourg 1 1000 t 2023 volatile
110 Maldives 1 1000 t 2023 volatile
110 New Caledonia 1 1000 t 2023 unchanged rising
110 Nepal 1 1000 t 2023 volatile
110 Qatar 1 1000 t 2023 flat
110 El Salvador 1 1000 t 2023 unchanged flat
110 Serbia 1 1000 t 2023 volatile
110 Suriname 1 1000 t 2023 unchanged falling
110 Slovenia 1 1000 t 2023 volatile
110 Trinidad and Tobago 1 1000 t 2023 down 50.0% falling
110 Ukraine 1 1000 t 2023 volatile
110 Saint Vincent and the Grenadines 1 1000 t 2023 down 50.0% falling
110 Türkiye 1 1000 t 2023 up 150.0% flat
110 China, Macao SAR 1 1000 t 2023 volatile
131 Afghanistan 0 1000 t 2023 volatile
131 Albania 0 1000 t 2023 volatile
131 Armenia 0 1000 t 2023 flat
131 Antigua and Barbuda 0 1000 t 2023 volatile
131 Azerbaijan 0 1000 t 2023 flat
131 Bosnia and Herzegovina 0 1000 t 2023 flat
131 Belarus 0 1000 t 2023 flat
131 Belize 0 1000 t 2023 flat
131 Bhutan 0 1000 t 2023 flat
131 Colombia 0 1000 t 2023 flat
131 Costa Rica 0 1000 t 2023 flat
131 Cyprus 0 1000 t 2023 flat
131 Djibouti 0 1000 t 2021 flat
131 Algeria 0 1000 t 2023 flat
131 Estonia 0 1000 t 2023 flat
131 Georgia 0 1000 t 2023 flat
131 Gambia 0 1000 t 2023 flat
131 Grenada 0 1000 t 2023 volatile
131 Iraq 0 1000 t 2023 volatile
131 Kazakhstan 0 1000 t 2023 flat
131 Kyrgyzstan 0 1000 t 2023 flat
131 Kiribati 0 1000 t 2023 flat
131 Saint Kitts and Nevis 0 1000 t 2023 flat
131 Libya 0 1000 t 2023 flat
131 Saint Lucia 0 1000 t 2023 down 100.0% falling
131 Lesotho 0 1000 t 2023 flat
131 Latvia 0 1000 t 2023 flat
131 Marshall Islands 0 1000 t 2023 flat
131 North Macedonia 0 1000 t 2023 flat
131 Malta 0 1000 t 2023 flat
131 Montenegro 0 1000 t 2023 flat
131 Mongolia 0 1000 t 2023 flat
131 Namibia 0 1000 t 2023 down 100.0% volatile
131 Nicaragua 0 1000 t 2023 volatile
131 Nauru 0 1000 t 2023 flat
131 Oman 0 1000 t 2023 volatile
131 Panama 0 1000 t 2023 volatile
131 French Polynesia 0 1000 t 2023 flat
131 Sao Tome and Principe 0 1000 t 2020 flat
131 Seychelles 0 1000 t 2023 flat
131 Tunisia 0 1000 t 2023 flat
131 Samoa 0 1000 t 2023 flat
131 Yemen 0 1000 t 2023 flat
131 Iran (Islamic Republic of) 0 1000 t 2023 volatile
131 Republic of Moldova 0 1000 t 2023 flat
131 Syrian Arab Republic 0 1000 t 2023 volatile
177 Spain -18 1000 t 2023 down 700.0% volatile
178 Portugal -19 1000 t 2023 down 195.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Sweet potatoes — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://agriculture.statizoid.com/stat/sweet-potatoes-domestic-supply-quantity/

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About this data

Indicator
Sweet potatoes — Domestic supply quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 2,795 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.