Sweet potatoes — Stock Variation 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
169
Highest
2,029 1000 t
China
Lowest
-317 1000 t
Malawi
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,639

What the numbers show

Sweet potatoes — Stock Variation is currently reported for 169 countries. The highest value is 2,029 1000 t in China; the lowest is -317 1000 t in Malawi.

The median across all reporting countries is 0 1000 t, and the mean is 25.29 1000 t.

The gap between the highest and lowest reporting country is a factor of about 6.

Over the past decade 30 countries rose and 28 fell. The largest increase was in Democratic People's Republic of Korea (up 2,980.0%), and the largest decrease in Egypt (down 350.0%).

Sweet potatoes — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 China 2,029 1000 t 2023 up 46.4% volatile
2 China, mainland 2,025 1000 t 2023 up 45.7% volatile
3 Democratic People's Republic of Korea 154 1000 t 2018 up 2,980.0% volatile
4 India 125 1000 t 2023 up 531.0% volatile
5 Zambia 91 1000 t 2023 up 139.5% volatile
6 Cameroon 44 1000 t 2023 up 158.8% volatile
7 Guinea 42 1000 t 2023 up 200.0% rising
8 Kenya 37 1000 t 2023 up 121.5% volatile
9 Niger 30 1000 t 2023 up 200.0% volatile
10 Brazil 22 1000 t 2023 up 833.3% volatile
11 Zimbabwe 20 1000 t 2023 volatile
12 Sierra Leone 17 1000 t 2023 up 142.9% volatile
13 Haiti 12 1000 t 2023 down 80.0% volatile
14 Dominican Republic 10 1000 t 2023 up 100.0% volatile
15 Lao People's Democratic Republic 7 1000 t 2023 up 216.7% volatile
16 Saudi Arabia 4 1000 t 2023 up 300.0% rising
17 Guatemala 3 1000 t 2023 volatile
17 Cambodia 3 1000 t 2023 up 200.0% rising
17 China, Taiwan Province of 3 1000 t 2023 up 175.0% volatile
17 Netherlands (Kingdom of the) 3 1000 t 2023 volatile
21 United Arab Emirates 2 1000 t 2023 up 300.0% volatile
21 Indonesia 2 1000 t 2023 down 98.9% volatile
21 Pakistan 2 1000 t 2023 up 100.0% rising
21 Thailand 2 1000 t 2023 unchanged volatile
25 Australia 1 1000 t 2023 volatile
25 Caribbean 1 1000 t 2023 down 98.4% volatile
27 Albania 0 1000 t 2023 flat
27 Argentina 0 1000 t 2023 up 100.0% volatile
27 Armenia 0 1000 t 2023 flat
27 Antigua and Barbuda 0 1000 t 2023 flat
27 Austria 0 1000 t 2023 volatile
27 Belgium 0 1000 t 2023 flat
27 Burkina Faso 0 1000 t 2023 down 100.0% flat
27 Bangladesh 0 1000 t 2023 up 100.0% flat
27 Bulgaria 0 1000 t 2023 flat
27 Bahrain 0 1000 t 2023 flat
27 Bahamas 0 1000 t 2023 volatile
27 Bosnia and Herzegovina 0 1000 t 2023 flat
27 Belarus 0 1000 t 2023 flat
27 Belize 0 1000 t 2023 flat
27 Barbados 0 1000 t 2023 volatile
27 Bhutan 0 1000 t 2023 flat
27 Botswana 0 1000 t 2023 flat
27 Canada 0 1000 t 2023 down 100.0% flat
27 Switzerland 0 1000 t 2023 down 100.0% volatile
27 Chile 0 1000 t 2023 up 100.0% volatile
27 Congo 0 1000 t 2023 flat
27 Colombia 0 1000 t 2023 flat
27 Comoros 0 1000 t 2023 volatile
27 Costa Rica 0 1000 t 2023 flat
27 Cuba 0 1000 t 2019 volatile
27 Cyprus 0 1000 t 2023 flat
27 Czechia 0 1000 t 2023 volatile
27 Germany 0 1000 t 2023 flat
27 Denmark 0 1000 t 2023 volatile
27 Algeria 0 1000 t 2023 flat
27 Spain 0 1000 t 2023 down 100.0% volatile
27 Estonia 0 1000 t 2023 flat
27 Ethiopia 0 1000 t 2023 down 100.0% volatile
27 Finland 0 1000 t 2023 volatile
27 Fiji 0 1000 t 2023 volatile
27 France 0 1000 t 2023 flat
27 Gabon 0 1000 t 2023 flat
27 Georgia 0 1000 t 2023 flat
27 Ghana 0 1000 t 2023 up 100.0% volatile
27 Gambia 0 1000 t 2023 flat
27 Greece 0 1000 t 2023 volatile
27 Grenada 0 1000 t 2023 flat
27 Guyana 0 1000 t 2023 volatile
27 Honduras 0 1000 t 2023 up 100.0% volatile
27 Croatia 0 1000 t 2023 flat
27 Hungary 0 1000 t 2023 volatile
27 Ireland 0 1000 t 2023 flat
27 Iceland 0 1000 t 2023 volatile
27 Israel 0 1000 t 2023 down 100.0% volatile
27 Italy 0 1000 t 2023 up 100.0% volatile
27 Jamaica 0 1000 t 2023 up 100.0% volatile
27 Jordan 0 1000 t 2023 flat
27 Kazakhstan 0 1000 t 2023 flat
27 Kyrgyzstan 0 1000 t 2023 flat
27 Kiribati 0 1000 t 2023 flat
27 Saint Kitts and Nevis 0 1000 t 2023 flat
27 Kuwait 0 1000 t 2023 volatile
27 Lebanon 0 1000 t 2023 flat
27 Liberia 0 1000 t 2023 down 100.0% volatile
27 Saint Lucia 0 1000 t 2023 flat
27 Sri Lanka 0 1000 t 2023 volatile
27 Lithuania 0 1000 t 2023 flat
27 Luxembourg 0 1000 t 2023 flat
27 Latvia 0 1000 t 2023 flat
27 Morocco 0 1000 t 2023 down 100.0% volatile
27 Madagascar 0 1000 t 2023 up 100.0% volatile
27 Maldives 0 1000 t 2023 flat
27 Mexico 0 1000 t 2023 down 100.0% volatile
27 Marshall Islands 0 1000 t 2023 flat
27 North Macedonia 0 1000 t 2023 flat
27 Malta 0 1000 t 2023 flat
27 Montenegro 0 1000 t 2023 flat
27 Mongolia 0 1000 t 2023 flat
27 Mozambique 0 1000 t 2023 down 100.0% volatile
27 Mauritius 0 1000 t 2023 flat
27 Malaysia 0 1000 t 2023 down 100.0% volatile
27 Namibia 0 1000 t 2023 flat
27 New Caledonia 0 1000 t 2023 flat
27 Nigeria 0 1000 t 2023 down 100.0% volatile
27 Nicaragua 0 1000 t 2023 flat
27 Norway 0 1000 t 2023 volatile
27 Nepal 0 1000 t 2023 volatile
27 Nauru 0 1000 t 2023 flat
27 New Zealand 0 1000 t 2023 down 100.0% volatile
27 Oman 0 1000 t 2023 flat
27 Panama 0 1000 t 2023 flat
27 Peru 0 1000 t 2023 flat
27 Papua New Guinea 0 1000 t 2023 up 100.0% volatile
27 Poland 0 1000 t 2023 up 100.0% volatile
27 Portugal 0 1000 t 2023 down 100.0% volatile
27 Paraguay 0 1000 t 2023 flat
27 Qatar 0 1000 t 2023 flat
27 Romania 0 1000 t 2023 flat
27 Rwanda 0 1000 t 2023 down 100.0% volatile
27 Senegal 0 1000 t 2023 down 100.0% volatile
27 El Salvador 0 1000 t 2023 flat
27 Serbia 0 1000 t 2023 volatile
27 Suriname 0 1000 t 2023 volatile
27 Slovakia 0 1000 t 2023 flat
27 Slovenia 0 1000 t 2023 flat
27 Sweden 0 1000 t 2023 volatile
27 Eswatini 0 1000 t 2023 flat
27 Seychelles 0 1000 t 2023 flat
27 Tonga 0 1000 t 2023 volatile
27 Trinidad and Tobago 0 1000 t 2023 flat
27 Tunisia 0 1000 t 2023 flat
27 Uganda 0 1000 t 2023 flat
27 Ukraine 0 1000 t 2023 flat
27 Uruguay 0 1000 t 2023 up 100.0% volatile
27 Saint Vincent and the Grenadines 0 1000 t 2023 volatile
27 Vanuatu 0 1000 t 2023 flat
27 Samoa 0 1000 t 2023 flat
27 Yemen 0 1000 t 2023 flat
27 Micronesia 0 1000 t 2023 flat
27 Timor-Leste 0 1000 t 2023 flat
27 Cabo Verde 0 1000 t 2023 down 100.0% volatile
27 Polynesia 0 1000 t 2023 volatile
27 Democratic Republic of the Congo 0 1000 t 2023 down 100.0% volatile
27 China, Hong Kong SAR 0 1000 t 2023 volatile
27 Iran (Islamic Republic of) 0 1000 t 2023 flat
27 Republic of Korea 0 1000 t 2023 down 100.0% volatile
27 Republic of Moldova 0 1000 t 2023 flat
27 Russian Federation 0 1000 t 2023 flat
27 Syrian Arab Republic 0 1000 t 2023 flat
27 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
27 Türkiye 0 1000 t 2023 flat
27 Australia and New Zealand 0 1000 t 2023 down 100.0% volatile
27 Côte d'Ivoire 0 1000 t 2023 up 100.0% volatile
27 United Republic of Tanzania 0 1000 t 2023 down 100.0% volatile
27 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
27 Micronesia (Federated States of) 0 1000 t 2023 flat
27 China, Macao SAR 0 1000 t 2023 flat
159 Ecuador -1 1000 t 2023 volatile
159 Myanmar -1 1000 t 2023 volatile
159 Philippines -1 1000 t 2023 down 110.0% volatile
159 Bolivia (Plurinational State of) -1 1000 t 2023 volatile
163 Mauritania -2 1000 t 2023 flat
164 Solomon Islands -3 1000 t 2023 volatile
164 Melanesia -3 1000 t 2023 down 50.0% volatile
166 Viet Nam -8 1000 t 2023 down 157.1% volatile
167 Egypt -25 1000 t 2023 down 350.0% volatile
168 Angola -55 1000 t 2023 volatile
169 Malawi -317 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 — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
200 places, 2,639 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.