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...
What the numbers show
Sweet potatoes — Domestic supply quantity is currently reported for 154 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 12 1000 t, and the mean is 894.82 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2,609.
Over the past decade 72 countries rose and 34 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 | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 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 | United States | 955 1000 t | 2023 | down 5.5% | flat |
| 14 | Vietnam | 927 1000 t | 2023 | down 31.0% | falling |
| 14 | Viet Nam | 927 1000 t | 2023 | down 31.0% | falling |
| 16 | Brazil | 890 1000 t | 2023 | up 75.9% | rising |
| 17 | Melanesia | 859 1000 t | 2023 | up 12.0% | rising |
| 18 | Papua New Guinea | 721 1000 t | 2023 | up 9.6% | rising |
| 19 | Kenya | 632 1000 t | 2023 | down 29.9% | falling |
| 20 | Democratic Republic of the Congo | 608 1000 t | 2023 | up 48.3% | rising |
| 21 | Cameroon | 563 1000 t | 2023 | up 70.1% | rising |
| 22 | Philippines | 524 1000 t | 2023 | up 1.0% | rising |
| 23 | Cuba | 484 1000 t | 2019 | up 25.7% | rising |
| 24 | Democratic People's Republic of Korea | 471 1000 t | 2018 | up 11.6% | rising |
| 25 | Mozambique | 460 1000 t | 2023 | down 65.1% | falling |
| 26 | Caribbean | 453 1000 t | 2023 | down 56.1% | falling |
| 27 | Guinea | 333 1000 t | 2023 | up 62.4% | rising |
| 28 | Republic of Korea | 325 1000 t | 2023 | up 18.2% | rising |
| 29 | Bangladesh | 304 1000 t | 2023 | up 14.7% | rising |
| 30 | Peru | 298 1000 t | 2023 | up 3.1% | flat |
| 31 | Egypt | 288 1000 t | 2023 | down 17.7% | flat |
| 32 | Sierra Leone | 250 1000 t | 2023 | up 14.2% | rising |
| 33 | Zimbabwe | 228 1000 t | 2023 | up 714.3% | volatile |
| 34 | China, Taiwan Province of | 226 1000 t | 2023 | up 3.2% | flat |
| 35 | Niger | 184 1000 t | 2023 | up 102.2% | rising |
| 36 | Zambia | 144 1000 t | 2023 | down 4.6% | falling |
| 37 | Ghana | 142 1000 t | 2023 | unchanged | rising |
| 38 | United Kingdom | 122 1000 t | 2023 | up 103.3% | rising |
| 38 | United Kingdom of Great Britain and Northern Ireland | 122 1000 t | 2023 | up 103.3% | rising |
| 40 | Argentina | 120 1000 t | 2023 | down 66.7% | falling |
| 41 | Senegal | 115 1000 t | 2023 | up 228.6% | volatile |
| 42 | Solomon Islands | 112 1000 t | 2023 | up 12.0% | rising |
| 43 | Burkina Faso | 110 1000 t | 2023 | down 17.9% | flat |
| 44 | Laos | 107 1000 t | 2023 | up 50.7% | rising |
| 44 | Lao People's Democratic Republic | 107 1000 t | 2023 | up 50.7% | rising |
| 46 | Australia and New Zealand | 104 1000 t | 2023 | up 28.4% | rising |
| 47 | Australia | 91 1000 t | 2023 | up 35.8% | rising |
| 48 | Haiti | 88 1000 t | 2023 | down 83.8% | volatile |
| 49 | Uruguay | 85 1000 t | 2023 | up 1.2% | rising |
| 50 | Mexico | 76 1000 t | 2023 | up 72.7% | rising |
| 51 | South Africa | 69 1000 t | 2023 | up 19.0% | rising |
| 52 | Myanmar | 63 1000 t | 2023 | up 5.0% | rising |
| 53 | France | 62 1000 t | 2023 | up 416.7% | volatile |
| 54 | Cote d'Ivoire | 60 1000 t | 2023 | up 25.0% | rising |
| 54 | Côte d'Ivoire | 60 1000 t | 2023 | up 25.0% | rising |
| 56 | Dominican Republic | 56 1000 t | 2023 | up 55.6% | rising |
| 57 | Sri Lanka | 53 1000 t | 2023 | unchanged | flat |
| 58 | Germany | 48 1000 t | 2023 | up 585.7% | volatile |
| 59 | Jamaica | 47 1000 t | 2023 | up 4.4% | rising |
| 60 | Malaysia | 45 1000 t | 2023 | down 18.2% | rising |
| 61 | Netherlands (Kingdom of the) | 43 1000 t | 2023 | up 152.9% | rising |
| 62 | Guinea-Bissau | 40 1000 t | 2023 | — | volatile |
| 63 | Belgium | 38 1000 t | 2023 | up 3,700.0% | volatile |
| 64 | Cambodia | 36 1000 t | 2023 | down 18.2% | falling |
| 65 | Paraguay | 33 1000 t | 2023 | down 26.7% | flat |
| 66 | Canada | 31 1000 t | 2023 | down 31.1% | falling |
| 67 | Israel | 27 1000 t | 2023 | up 3.8% | rising |
| 68 | Liberia | 25 1000 t | 2023 | up 13.6% | rising |
| 69 | Pakistan | 23 1000 t | 2023 | up 91.7% | rising |
| 69 | Venezuela (Bolivarian Republic of) | 23 1000 t | 2023 | up 76.9% | rising |
| 71 | Italy | 22 1000 t | 2023 | up 37.5% | rising |
| 72 | Chile | 21 1000 t | 2023 | up 23.5% | rising |
| 72 | Guyana | 21 1000 t | 2023 | up 950.0% | volatile |
| 74 | Saudi Arabia | 18 1000 t | 2023 | up 260.0% | volatile |
| 75 | Mauritania | 14 1000 t | 2023 | up 600.0% | volatile |
| 76 | Fiji | 13 1000 t | 2023 | up 44.4% | rising |
| 77 | United Arab Emirates | 12 1000 t | 2023 | up 300.0% | volatile |
| 77 | Honduras | 12 1000 t | 2023 | up 500.0% | volatile |
| 77 | Morocco | 12 1000 t | 2023 | down 42.9% | falling |
| 77 | New Zealand | 12 1000 t | 2023 | down 7.7% | falling |
| 77 | Vanuatu | 12 1000 t | 2023 | — | volatile |
| 82 | Comoros | 11 1000 t | 2023 | up 57.1% | rising |
| 83 | Congo | 10 1000 t | 2023 | up 11.1% | rising |
| 83 | Eswatini | 10 1000 t | 2023 | up 400.0% | volatile |
| 83 | Thailand | 10 1000 t | 2023 | down 23.1% | rising |
| 86 | Ireland | 7 1000 t | 2023 | up 250.0% | volatile |
| 86 | Polynesia | 7 1000 t | 2023 | — | volatile |
| 88 | Poland | 6 1000 t | 2023 | up 200.0% | volatile |
| 88 | Sweden | 6 1000 t | 2023 | up 500.0% | volatile |
| 88 | Tonga | 6 1000 t | 2023 | — | flat |
| 88 | Bolivia (Plurinational State of) | 6 1000 t | 2023 | unchanged | rising |
| 92 | Switzerland | 5 1000 t | 2023 | up 400.0% | volatile |
| 92 | Ecuador | 5 1000 t | 2023 | up 150.0% | rising |
| 92 | East Timor | 5 1000 t | 2023 | down 28.6% | falling |
| 92 | Timor-Leste | 5 1000 t | 2023 | down 28.6% | falling |
| 96 | Austria | 4 1000 t | 2023 | — | volatile |
| 96 | Finland | 4 1000 t | 2023 | up 100.0% | rising |
| 96 | Gabon | 4 1000 t | 2023 | unchanged | rising |
| 96 | Lebanon | 4 1000 t | 2023 | up 100.0% | rising |
| 96 | Norway | 4 1000 t | 2023 | up 300.0% | volatile |
| 96 | Romania | 4 1000 t | 2023 | — | volatile |
| 96 | Russia | 4 1000 t | 2023 | — | volatile |
| 96 | China, Hong Kong SAR | 4 1000 t | 2023 | up 300.0% | volatile |
| 96 | Russian Federation | 4 1000 t | 2023 | — | volatile |
| 105 | Barbados | 3 1000 t | 2023 | up 200.0% | rising |
| 105 | Czechia | 3 1000 t | 2023 | — | volatile |
| 105 | Hungary | 3 1000 t | 2023 | — | volatile |
| 105 | Micronesia | 3 1000 t | 2023 | — | volatile |
| 105 | Micronesia (Federated States of) | 3 1000 t | 2023 | — | flat |
| 110 | Bahamas | 2 1000 t | 2023 | unchanged | rising |
| 110 | Botswana | 2 1000 t | 2023 | up 100.0% | volatile |
| 110 | Denmark | 2 1000 t | 2023 | up 140.0% | volatile |
| 110 | Jordan | 2 1000 t | 2023 | — | volatile |
| 110 | Kuwait | 2 1000 t | 2023 | up 100.0% | volatile |
| 110 | Mauritius | 2 1000 t | 2023 | up 100.0% | volatile |
| 110 | Slovakia | 2 1000 t | 2023 | — | volatile |
| 110 | Cabo Verde | 2 1000 t | 2023 | down 71.4% | falling |
| 118 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 118 | Bahrain | 1 1000 t | 2023 | — | flat |
| 118 | Greece | 1 1000 t | 2023 | down 75.0% | volatile |
| 118 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 118 | Croatia | 1 1000 t | 2023 | — | volatile |
| 118 | Iceland | 1 1000 t | 2023 | — | volatile |
| 118 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 118 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 118 | Maldives | 1 1000 t | 2023 | — | volatile |
| 118 | New Caledonia | 1 1000 t | 2023 | unchanged | rising |
| 118 | Nepal | 1 1000 t | 2023 | — | volatile |
| 118 | Qatar | 1 1000 t | 2023 | — | flat |
| 118 | El Salvador | 1 1000 t | 2023 | unchanged | flat |
| 118 | Serbia | 1 1000 t | 2023 | — | volatile |
| 118 | Suriname | 1 1000 t | 2023 | unchanged | falling |
| 118 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 118 | Trinidad and Tobago | 1 1000 t | 2023 | down 50.0% | falling |
| 118 | Turkey | 1 1000 t | 2023 | up 150.0% | flat |
| 118 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 118 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | down 50.0% | falling |
| 118 | Türkiye | 1 1000 t | 2023 | up 150.0% | flat |
| 118 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 140 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 140 | Albania | 0 1000 t | 2023 | — | volatile |
| 140 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 140 | Grenada | 0 1000 t | 2023 | — | volatile |
| 140 | Iraq | 0 1000 t | 2023 | — | volatile |
| 140 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | falling |
| 140 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 140 | Oman | 0 1000 t | 2023 | — | volatile |
| 140 | Panama | 0 1000 t | 2023 | — | volatile |
| 140 | Syria | 0 1000 t | 2023 | — | volatile |
| 140 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 140 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 189 | Spain | -18 1000 t | 2023 | down 700.0% | volatile |
| 190 | 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.
- World 88,330 1000 t
- Asia 56,053 1000 t
- Eastern Asia 51,177 1000 t
- Africa 27,911 1000 t
- Net Food Importing Developing Countries (NFIDCs) 24,313 1000 t
- Least Developed Countries (LDCs) 22,521 1000 t
- Low Income Food Deficit Countries (LIFDCs) 21,679 1000 t
- Eastern Africa 17,725 1000 t
- Land Locked Developing Countries (LLDCs) 14,821 1000 t
- Western Africa 6,078 1000 t
- Middle Africa 3,456 1000 t
- South-Eastern Asia 3,260 1000 t
- Americas 3,033 1000 t
- Southern Asia 1,543 1000 t
- South America 1,503 1000 t
- Small island developing States (SIDS) 1,405 1000 t
- Northern America 986 1000 t
- Oceania 972 1000 t
- United States of America 955 1000 t
- Northern Africa 571 1000 t
- Europe 361 1000 t
- European Union (27) 223 1000 t
- Western Europe 200 1000 t
- Northern Europe 147 1000 t
- Central America 91 1000 t
- Southern Africa 81 1000 t
- Western Asia 73 1000 t
- Eastern Europe 25 1000 t
- Central Asia 0 1000 t
- Southern Europe -11 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.