Sweet potatoes — Food 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 — Food is currently reported for 130 countries. The highest value is 25,069 1000 t in China; the lowest is 0 1000 t in Saint Vincent and the Grenadines.
The median across all reporting countries is 16 1000 t, and the mean is 575.34 1000 t.
Over the past decade 57 countries rose and 38 fell. The largest increase was in Zimbabwe (up 728.0%), and the largest decrease in Spain (down 100.0%).
Sweet potatoes — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 25,069 1000 t | 2023 | down 17.7% | falling |
| 2 | China, mainland | 24,984 1000 t | 2023 | down 17.8% | falling |
| 3 | Nigeria | 2,969 1000 t | 2023 | up 21.6% | rising |
| 4 | Uganda | 1,587 1000 t | 2023 | down 9.3% | falling |
| 5 | Angola | 1,524 1000 t | 2023 | up 89.8% | rising |
| 6 | United Republic of Tanzania | 1,496 1000 t | 2023 | down 31.2% | rising |
| 7 | Indonesia | 1,427 1000 t | 2023 | down 22.6% | falling |
| 8 | Ethiopia | 1,170 1000 t | 2023 | down 23.2% | falling |
| 9 | Rwanda | 1,120 1000 t | 2023 | up 40.2% | rising |
| 10 | Madagascar | 1,041 1000 t | 2023 | up 94.9% | rising |
| 11 | India | 1,030 1000 t | 2023 | down 1.0% | flat |
| 12 | United States | 840 1000 t | 2023 | down 5.8% | flat |
| 13 | Malawi | 767 1000 t | 2023 | — | volatile |
| 14 | Melanesia | 759 1000 t | 2023 | up 12.8% | rising |
| 15 | Papua New Guinea | 625 1000 t | 2023 | up 10.2% | rising |
| 16 | Democratic Republic of the Congo | 566 1000 t | 2023 | up 85.0% | rising |
| 17 | Kenya | 538 1000 t | 2023 | down 36.5% | falling |
| 18 | Philippines | 496 1000 t | 2023 | up 3.3% | rising |
| 19 | Cameroon | 470 1000 t | 2023 | up 67.3% | rising |
| 20 | Cuba | 401 1000 t | 2019 | up 36.9% | rising |
| 21 | Mozambique | 391 1000 t | 2023 | down 65.1% | falling |
| 22 | Caribbean | 388 1000 t | 2023 | down 49.1% | falling |
| 23 | Vietnam | 343 1000 t | 2023 | down 26.7% | falling |
| 23 | Viet Nam | 343 1000 t | 2023 | down 26.7% | falling |
| 25 | Democratic People's Republic of Korea | 338 1000 t | 2018 | up 3.0% | flat |
| 26 | Brazil | 334 1000 t | 2023 | up 59.0% | rising |
| 27 | Bangladesh | 281 1000 t | 2023 | up 14.7% | rising |
| 28 | Guinea | 268 1000 t | 2023 | up 57.6% | rising |
| 29 | Republic of Korea | 252 1000 t | 2023 | up 26.0% | rising |
| 30 | Peru | 226 1000 t | 2023 | up 10.2% | flat |
| 31 | Zimbabwe | 207 1000 t | 2023 | up 728.0% | volatile |
| 32 | Sierra Leone | 205 1000 t | 2023 | up 47.5% | rising |
| 33 | Egypt | 199 1000 t | 2023 | down 19.4% | flat |
| 34 | Niger | 148 1000 t | 2023 | up 87.3% | rising |
| 35 | Zambia | 129 1000 t | 2023 | down 5.8% | falling |
| 36 | Ghana | 115 1000 t | 2023 | down 0.9% | rising |
| 37 | Argentina | 110 1000 t | 2023 | down 66.9% | falling |
| 37 | Solomon Islands | 110 1000 t | 2023 | up 12.2% | rising |
| 39 | Burkina Faso | 100 1000 t | 2023 | down 17.4% | flat |
| 40 | Australia and New Zealand | 87 1000 t | 2023 | up 27.9% | rising |
| 41 | China, Taiwan Province of | 83 1000 t | 2023 | down 2.4% | flat |
| 42 | Australia | 77 1000 t | 2023 | up 35.1% | rising |
| 43 | Laos | 73 1000 t | 2023 | up 49.0% | rising |
| 43 | Lao People's Democratic Republic | 73 1000 t | 2023 | up 49.0% | rising |
| 45 | South Africa | 68 1000 t | 2023 | up 25.9% | rising |
| 46 | Haiti | 66 1000 t | 2023 | down 82.9% | volatile |
| 47 | Uruguay | 65 1000 t | 2023 | up 8.3% | rising |
| 48 | Myanmar | 59 1000 t | 2023 | up 11.3% | rising |
| 49 | Cote d'Ivoire | 51 1000 t | 2023 | up 24.4% | rising |
| 49 | Côte d'Ivoire | 51 1000 t | 2023 | up 24.4% | rising |
| 51 | Dominican Republic | 50 1000 t | 2023 | up 56.2% | rising |
| 52 | Senegal | 48 1000 t | 2023 | up 60.0% | rising |
| 53 | Mexico | 45 1000 t | 2023 | up 18.4% | rising |
| 54 | Sri Lanka | 41 1000 t | 2023 | up 10.8% | rising |
| 55 | Jamaica | 40 1000 t | 2023 | up 21.2% | rising |
| 56 | Cambodia | 33 1000 t | 2023 | down 17.5% | falling |
| 57 | Paraguay | 31 1000 t | 2023 | down 24.4% | flat |
| 58 | Canada | 29 1000 t | 2023 | down 34.1% | falling |
| 59 | Liberia | 23 1000 t | 2023 | up 15.0% | rising |
| 60 | Italy | 21 1000 t | 2023 | up 31.2% | flat |
| 60 | Malaysia | 21 1000 t | 2023 | down 4.5% | rising |
| 60 | Pakistan | 21 1000 t | 2023 | up 90.9% | rising |
| 60 | Venezuela (Bolivarian Republic of) | 21 1000 t | 2023 | up 75.0% | rising |
| 64 | Netherlands (Kingdom of the) | 18 1000 t | 2023 | up 20.0% | flat |
| 65 | Chile | 17 1000 t | 2023 | up 6.2% | flat |
| 66 | Guinea-Bissau | 15 1000 t | 2023 | — | volatile |
| 67 | Fiji | 12 1000 t | 2023 | up 50.0% | rising |
| 67 | Saudi Arabia | 12 1000 t | 2023 | up 140.0% | rising |
| 67 | Vanuatu | 12 1000 t | 2023 | — | volatile |
| 70 | Comoros | 10 1000 t | 2023 | up 66.7% | rising |
| 70 | Morocco | 10 1000 t | 2023 | down 41.2% | falling |
| 70 | New Zealand | 10 1000 t | 2023 | down 9.1% | falling |
| 73 | United Arab Emirates | 9 1000 t | 2023 | up 350.0% | volatile |
| 73 | Congo | 9 1000 t | 2023 | up 12.5% | rising |
| 73 | Mauritania | 9 1000 t | 2023 | up 350.0% | volatile |
| 73 | Eswatini | 9 1000 t | 2023 | up 350.0% | volatile |
| 77 | Thailand | 8 1000 t | 2023 | down 27.3% | rising |
| 78 | Poland | 6 1000 t | 2023 | up 200.0% | volatile |
| 79 | Guyana | 5 1000 t | 2023 | up 400.0% | volatile |
| 80 | Austria | 4 1000 t | 2023 | — | volatile |
| 80 | Ecuador | 4 1000 t | 2023 | up 100.0% | rising |
| 80 | Gabon | 4 1000 t | 2023 | unchanged | rising |
| 80 | Lebanon | 4 1000 t | 2023 | up 100.0% | rising |
| 80 | East Timor | 4 1000 t | 2023 | down 33.3% | falling |
| 80 | Timor-Leste | 4 1000 t | 2023 | down 33.3% | falling |
| 80 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | unchanged | rising |
| 87 | Norway | 3 1000 t | 2023 | up 200.0% | rising |
| 87 | Tonga | 3 1000 t | 2023 | — | rising |
| 87 | Micronesia | 3 1000 t | 2023 | — | volatile |
| 87 | Polynesia | 3 1000 t | 2023 | — | rising |
| 87 | Micronesia (Federated States of) | 3 1000 t | 2023 | — | flat |
| 92 | Barbados | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | Botswana | 2 1000 t | 2023 | up 100.0% | volatile |
| 92 | Switzerland | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | Finland | 2 1000 t | 2023 | unchanged | flat |
| 92 | Hungary | 2 1000 t | 2023 | — | volatile |
| 92 | Jordan | 2 1000 t | 2023 | — | volatile |
| 92 | Mauritius | 2 1000 t | 2023 | up 100.0% | volatile |
| 92 | Slovakia | 2 1000 t | 2023 | — | volatile |
| 92 | Cabo Verde | 2 1000 t | 2023 | down 66.7% | falling |
| 92 | China, Hong Kong SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 102 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 102 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 102 | Bahamas | 1 1000 t | 2023 | unchanged | falling |
| 102 | Greece | 1 1000 t | 2023 | down 66.7% | volatile |
| 102 | Iceland | 1 1000 t | 2023 | — | volatile |
| 102 | Israel | 1 1000 t | 2023 | down 83.3% | volatile |
| 102 | Kuwait | 1 1000 t | 2023 | unchanged | rising |
| 102 | Maldives | 1 1000 t | 2023 | — | volatile |
| 102 | Qatar | 1 1000 t | 2023 | — | flat |
| 102 | Romania | 1 1000 t | 2023 | — | volatile |
| 102 | Russia | 1 1000 t | 2023 | — | volatile |
| 102 | El Salvador | 1 1000 t | 2023 | unchanged | flat |
| 102 | Serbia | 1 1000 t | 2023 | — | volatile |
| 102 | Sweden | 1 1000 t | 2023 | unchanged | rising |
| 102 | Trinidad and Tobago | 1 1000 t | 2023 | down 50.0% | falling |
| 102 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 102 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 119 | Albania | 0 1000 t | 2023 | — | volatile |
| 119 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 119 | Grenada | 0 1000 t | 2023 | — | volatile |
| 119 | Iraq | 0 1000 t | 2023 | — | volatile |
| 119 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 119 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 119 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 119 | Nepal | 0 1000 t | 2023 | — | volatile |
| 119 | Oman | 0 1000 t | 2023 | — | volatile |
| 119 | Panama | 0 1000 t | 2023 | — | volatile |
| 119 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 119 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 50,404 1000 t
- Asia 30,151 1000 t
- Eastern Asia 26,279 1000 t
- Africa 17,211 1000 t
- Net Food Importing Developing Countries (NFIDCs) 14,634 1000 t
- Least Developed Countries (LDCs) 13,182 1000 t
- Low Income Food Deficit Countries (LIFDCs) 12,685 1000 t
- Eastern Africa 9,393 1000 t
- Land Locked Developing Countries (LLDCs) 6,951 1000 t
- Western Africa 4,502 1000 t
- Middle Africa 2,773 1000 t
- South-Eastern Asia 2,463 1000 t
- Americas 2,122 1000 t
- Southern Asia 1,373 1000 t
- Small island developing States (SIDS) 1,192 1000 t
- Northern America 869 1000 t
- Oceania 852 1000 t
- United States of America 840 1000 t
- South America 818 1000 t
- Northern Africa 463 1000 t
- Southern Africa 80 1000 t
- Europe 69 1000 t
- European Union (27) 61 1000 t
- Central America 47 1000 t
- Western Asia 34 1000 t
- Southern Europe 24 1000 t
- Western Europe 23 1000 t
- Eastern Europe 14 1000 t
- Northern Europe 7 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.