Sweet potatoes — Feed 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 — Feed is currently reported for 91 countries. The highest value is 21,255 1000 t in China; the lowest is 0 1000 t in Saint Vincent and the Grenadines.
The median across all reporting countries is 4 1000 t, and the mean is 570.8 1000 t.
Over the past decade 25 countries rose and 33 fell. The largest increase was in Belgium (up 3,700.0%), and the largest decrease in Fiji (down 100.0%).
Sweet potatoes — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 21,255 1000 t | 2023 | down 1.5% | falling |
| 2 | China, mainland | 21,146 1000 t | 2023 | down 1.6% | falling |
| 3 | Malawi | 6,287 1000 t | 2023 | — | volatile |
| 4 | Vietnam | 514 1000 t | 2023 | down 33.5% | falling |
| 4 | Viet Nam | 514 1000 t | 2023 | down 33.5% | falling |
| 6 | Brazil | 448 1000 t | 2023 | up 106.5% | rising |
| 7 | Angola | 390 1000 t | 2023 | up 27.0% | rising |
| 8 | United Republic of Tanzania | 157 1000 t | 2023 | down 58.0% | falling |
| 9 | United Kingdom | 122 1000 t | 2023 | up 103.3% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 122 1000 t | 2023 | up 103.3% | rising |
| 11 | China, Taiwan Province of | 106 1000 t | 2023 | up 8.2% | rising |
| 12 | Democratic People's Republic of Korea | 74 1000 t | 2018 | up 39.6% | flat |
| 13 | France | 62 1000 t | 2023 | up 416.7% | volatile |
| 14 | Cameroon | 48 1000 t | 2023 | up 100.0% | rising |
| 14 | Germany | 48 1000 t | 2023 | up 585.7% | volatile |
| 16 | United States | 43 1000 t | 2023 | down 4.4% | rising |
| 17 | Belgium | 38 1000 t | 2023 | up 3,700.0% | volatile |
| 18 | Cuba | 37 1000 t | 2019 | down 5.1% | rising |
| 19 | Republic of Korea | 35 1000 t | 2023 | down 2.8% | falling |
| 20 | Indonesia | 33 1000 t | 2023 | down 29.8% | falling |
| 20 | Mozambique | 33 1000 t | 2023 | down 60.2% | falling |
| 22 | Ethiopia | 29 1000 t | 2023 | down 62.3% | volatile |
| 23 | Laos | 27 1000 t | 2023 | up 58.8% | rising |
| 23 | Lao People's Democratic Republic | 27 1000 t | 2023 | up 58.8% | rising |
| 25 | Kenya | 26 1000 t | 2023 | — | volatile |
| 26 | Guinea-Bissau | 25 1000 t | 2023 | — | volatile |
| 27 | India | 20 1000 t | 2023 | down 16.7% | falling |
| 27 | Malaysia | 20 1000 t | 2023 | down 23.1% | rising |
| 27 | Niger | 20 1000 t | 2023 | up 300.0% | volatile |
| 30 | Peru | 19 1000 t | 2023 | down 45.7% | falling |
| 31 | Philippines | 16 1000 t | 2023 | down 38.5% | falling |
| 32 | Netherlands (Kingdom of the) | 15 1000 t | 2023 | up 200.0% | rising |
| 33 | Portugal | 13 1000 t | 2018 | down 27.8% | falling |
| 34 | Spain | 12 1000 t | 2021 | up 1,100.0% | volatile |
| 34 | Uruguay | 12 1000 t | 2023 | down 25.0% | rising |
| 34 | Democratic Republic of the Congo | 12 1000 t | 2023 | down 14.3% | rising |
| 37 | Sierra Leone | 11 1000 t | 2023 | down 8.3% | falling |
| 38 | Caribbean | 10 1000 t | 2023 | down 88.2% | falling |
| 39 | Guinea | 9 1000 t | 2023 | up 200.0% | volatile |
| 39 | Sri Lanka | 9 1000 t | 2023 | down 30.8% | volatile |
| 41 | Australia | 7 1000 t | 2023 | up 16.7% | rising |
| 41 | Ireland | 7 1000 t | 2023 | up 250.0% | volatile |
| 41 | Saudi Arabia | 7 1000 t | 2023 | — | volatile |
| 41 | Australia and New Zealand | 7 1000 t | 2023 | up 16.7% | rising |
| 45 | Switzerland | 4 1000 t | 2023 | up 100.0% | rising |
| 45 | Sweden | 4 1000 t | 2023 | up 100.0% | rising |
| 45 | South Africa | 4 1000 t | 2023 | up 33.3% | rising |
| 48 | Chile | 3 1000 t | 2023 | down 25.0% | falling |
| 48 | Czechia | 3 1000 t | 2023 | up 200.0% | rising |
| 48 | Mauritania | 3 1000 t | 2023 | up 200.0% | rising |
| 48 | Russia | 3 1000 t | 2023 | — | volatile |
| 48 | Tonga | 3 1000 t | 2023 | — | flat |
| 48 | Polynesia | 3 1000 t | 2023 | — | volatile |
| 48 | Russian Federation | 3 1000 t | 2023 | — | volatile |
| 55 | United Arab Emirates | 2 1000 t | 2023 | — | volatile |
| 55 | Denmark | 2 1000 t | 2023 | — | volatile |
| 55 | Egypt | 2 1000 t | 2023 | down 50.0% | volatile |
| 55 | Finland | 2 1000 t | 2023 | unchanged | flat |
| 55 | Haiti | 2 1000 t | 2023 | down 94.6% | volatile |
| 55 | Norway | 2 1000 t | 2023 | — | volatile |
| 55 | Papua New Guinea | 2 1000 t | 2023 | down 50.0% | falling |
| 55 | Romania | 2 1000 t | 2023 | — | volatile |
| 55 | Zimbabwe | 2 1000 t | 2023 | up 100.0% | volatile |
| 55 | Melanesia | 2 1000 t | 2023 | down 60.0% | falling |
| 55 | China, Hong Kong SAR | 2 1000 t | 2023 | — | volatile |
| 66 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 66 | Bahamas | 1 1000 t | 2023 | down 50.0% | falling |
| 66 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 66 | Guyana | 1 1000 t | 2023 | — | volatile |
| 66 | Croatia | 1 1000 t | 2023 | — | volatile |
| 66 | Israel | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Italy | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Jamaica | 1 1000 t | 2023 | down 80.0% | volatile |
| 66 | Kuwait | 1 1000 t | 2023 | unchanged | flat |
| 66 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 66 | Myanmar | 1 1000 t | 2023 | down 80.0% | falling |
| 66 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 66 | Turkey | 1 1000 t | 2023 | — | volatile |
| 66 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 66 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 66 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 82 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 82 | Congo | 0 1000 t | 2023 | — | volatile |
| 82 | Comoros | 0 1000 t | 2023 | — | volatile |
| 82 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Grenada | 0 1000 t | 2023 | — | volatile |
| 82 | Madagascar | 0 1000 t | 2023 | down 100.0% | falling |
| 82 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Thailand | 0 1000 t | 2023 | — | volatile |
| 82 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 30,053 1000 t
- Asia 21,949 1000 t
- Eastern Asia 21,296 1000 t
- Net Food Importing Developing Countries (NFIDCs) 7,228 1000 t
- Africa 7,211 1000 t
- Least Developed Countries (LDCs) 7,160 1000 t
- Low Income Food Deficit Countries (LIFDCs) 6,822 1000 t
- Eastern Africa 6,551 1000 t
- Land Locked Developing Countries (LLDCs) 6,468 1000 t
- South-Eastern Asia 611 1000 t
- Americas 560 1000 t
- South America 484 1000 t
- Middle Africa 450 1000 t
- Europe 319 1000 t
- Western Africa 205 1000 t
- European Union (27) 189 1000 t
- Western Europe 167 1000 t
- Northern Europe 140 1000 t
- Northern America 43 1000 t
- United States of America 43 1000 t
- Small island developing States (SIDS) 42 1000 t
- Southern Asia 30 1000 t
- Central America 23 1000 t
- Oceania 13 1000 t
- Western Asia 12 1000 t
- Eastern Europe 10 1000 t
- Southern Africa 4 1000 t
- Southern Europe 3 1000 t
- Northern Africa 2 1000 t
- Central Asia 0 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.