Sweet potatoes — Production 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 — Production is currently reported for 104 countries. The highest value is 51,629 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 34.5 1000 t, and the mean is 1,343 1000 t.
Over the past decade 50 countries rose and 26 fell. The largest increase was in Guyana (up 950.0%), and the largest decrease in Saint Lucia (down 100.0%).
Sweet potatoes — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 51,629 1000 t | 2023 | down 9.6% | falling |
| 2 | China, mainland | 51,401 1000 t | 2023 | down 9.7% | falling |
| 3 | Malawi | 7,609 1000 t | 2023 | — | volatile |
| 4 | Nigeria | 4,085 1000 t | 2023 | up 11.1% | rising |
| 5 | Angola | 1,998 1000 t | 2023 | up 66.5% | rising |
| 6 | United Republic of Tanzania | 1,798 1000 t | 2023 | down 48.2% | falling |
| 7 | Uganda | 1,649 1000 t | 2023 | down 8.9% | falling |
| 8 | Indonesia | 1,559 1000 t | 2023 | down 34.7% | falling |
| 9 | Rwanda | 1,312 1000 t | 2023 | up 21.4% | rising |
| 10 | Madagascar | 1,301 1000 t | 2023 | up 16.6% | rising |
| 11 | Ethiopia | 1,295 1000 t | 2023 | down 36.0% | flat |
| 12 | India | 1,289 1000 t | 2023 | up 13.9% | rising |
| 13 | Brazil | 926 1000 t | 2023 | up 83.4% | rising |
| 14 | Viet Nam | 915 1000 t | 2023 | down 32.6% | falling |
| 15 | Melanesia | 856 1000 t | 2023 | up 11.7% | rising |
| 16 | Papua New Guinea | 721 1000 t | 2023 | up 9.7% | rising |
| 17 | Kenya | 669 1000 t | 2023 | down 8.4% | falling |
| 18 | Democratic People's Republic of Korea | 625 1000 t | 2018 | up 46.4% | rising |
| 19 | Democratic Republic of the Congo | 608 1000 t | 2023 | up 30.8% | rising |
| 20 | Cameroon | 607 1000 t | 2023 | up 73.9% | rising |
| 21 | Philippines | 523 1000 t | 2023 | down 0.9% | flat |
| 22 | Cuba | 484 1000 t | 2019 | up 25.7% | rising |
| 23 | Caribbean | 465 1000 t | 2023 | down 57.8% | falling |
| 24 | Mozambique | 460 1000 t | 2023 | down 68.7% | volatile |
| 25 | Egypt | 423 1000 t | 2023 | up 12.8% | rising |
| 26 | Guinea | 376 1000 t | 2023 | up 70.9% | rising |
| 27 | Republic of Korea | 325 1000 t | 2023 | down 1.5% | rising |
| 28 | Peru | 305 1000 t | 2023 | up 4.5% | flat |
| 29 | Bangladesh | 304 1000 t | 2023 | up 15.6% | flat |
| 30 | Sierra Leone | 267 1000 t | 2023 | up 18.7% | rising |
| 31 | Zimbabwe | 248 1000 t | 2023 | up 785.7% | volatile |
| 32 | Zambia | 235 1000 t | 2023 | up 25.0% | flat |
| 33 | China, Taiwan Province of | 228 1000 t | 2023 | up 6.0% | rising |
| 34 | Niger | 211 1000 t | 2023 | up 115.3% | rising |
| 35 | Ghana | 143 1000 t | 2023 | up 5.9% | rising |
| 36 | Lao People's Democratic Republic | 121 1000 t | 2023 | up 89.1% | rising |
| 37 | Senegal | 115 1000 t | 2023 | up 210.8% | rising |
| 38 | Argentina | 114 1000 t | 2023 | down 66.0% | falling |
| 39 | Burkina Faso | 110 1000 t | 2023 | down 34.5% | flat |
| 39 | Solomon Islands | 110 1000 t | 2023 | up 10.0% | rising |
| 41 | Australia and New Zealand | 103 1000 t | 2023 | up 25.6% | rising |
| 42 | Haiti | 100 1000 t | 2023 | down 83.3% | volatile |
| 43 | Australia | 91 1000 t | 2023 | up 33.8% | rising |
| 44 | Spain | 84 1000 t | 2021 | up 300.0% | volatile |
| 45 | Uruguay | 83 1000 t | 2023 | up 7.8% | rising |
| 46 | Mexico | 77 1000 t | 2023 | up 79.1% | rising |
| 47 | Dominican Republic | 75 1000 t | 2023 | up 53.1% | rising |
| 48 | Myanmar | 62 1000 t | 2023 | up 3.3% | flat |
| 49 | Côte d'Ivoire | 60 1000 t | 2023 | up 25.0% | rising |
| 50 | Sri Lanka | 54 1000 t | 2023 | up 1.9% | flat |
| 51 | Jamaica | 49 1000 t | 2023 | up 11.4% | rising |
| 52 | Cambodia | 39 1000 t | 2023 | down 13.3% | falling |
| 53 | Paraguay | 30 1000 t | 2023 | down 33.3% | falling |
| 54 | Honduras | 28 1000 t | 2023 | up 250.0% | rising |
| 54 | Israel | 28 1000 t | 2023 | up 3.7% | rising |
| 56 | Malaysia | 26 1000 t | 2023 | down 49.0% | rising |
| 57 | Liberia | 25 1000 t | 2023 | up 8.7% | rising |
| 57 | Pakistan | 25 1000 t | 2023 | up 92.3% | rising |
| 59 | Portugal | 23 1000 t | 2018 | up 4.5% | rising |
| 59 | Venezuela (Bolivarian Republic of) | 23 1000 t | 2023 | up 76.9% | rising |
| 61 | Guyana | 21 1000 t | 2023 | up 950.0% | volatile |
| 62 | Chile | 15 1000 t | 2023 | up 7.1% | rising |
| 63 | Fiji | 13 1000 t | 2023 | up 44.4% | rising |
| 63 | Morocco | 13 1000 t | 2023 | down 50.0% | falling |
| 65 | New Zealand | 12 1000 t | 2023 | down 14.3% | falling |
| 66 | Comoros | 11 1000 t | 2023 | up 57.1% | rising |
| 67 | Congo | 10 1000 t | 2023 | up 11.1% | rising |
| 67 | Eswatini | 10 1000 t | 2023 | up 400.0% | volatile |
| 69 | Italy | 7 1000 t | 2018 | down 22.2% | flat |
| 69 | Tonga | 7 1000 t | 2023 | — | flat |
| 69 | Polynesia | 7 1000 t | 2023 | — | flat |
| 72 | Mauritania | 5 1000 t | 2023 | up 66.7% | rising |
| 72 | Timor-Leste | 5 1000 t | 2023 | down 28.6% | falling |
| 72 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | unchanged | falling |
| 75 | Ecuador | 4 1000 t | 2023 | unchanged | rising |
| 75 | Gabon | 4 1000 t | 2023 | unchanged | rising |
| 75 | Guatemala | 4 1000 t | 2023 | — | volatile |
| 78 | Barbados | 3 1000 t | 2023 | up 200.0% | rising |
| 78 | Greece | 3 1000 t | 2018 | unchanged | falling |
| 78 | Micronesia | 3 1000 t | 2023 | — | flat |
| 78 | Micronesia (Federated States of) | 3 1000 t | 2023 | — | flat |
| 82 | Bahamas | 2 1000 t | 2023 | unchanged | rising |
| 82 | Costa Rica | 2 1000 t | 2023 | — | volatile |
| 82 | Mauritius | 2 1000 t | 2023 | up 100.0% | volatile |
| 82 | Cabo Verde | 2 1000 t | 2023 | down 77.8% | falling |
| 86 | Botswana | 1 1000 t | 2023 | — | volatile |
| 86 | New Caledonia | 1 1000 t | 2023 | — | volatile |
| 86 | El Salvador | 1 1000 t | 2023 | unchanged | flat |
| 86 | Suriname | 1 1000 t | 2023 | unchanged | volatile |
| 86 | Trinidad and Tobago | 1 1000 t | 2023 | down 50.0% | volatile |
| 86 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | down 66.7% | falling |
| 92 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 92 | Bahrain | 0 1000 t | 2023 | — | flat |
| 92 | Belize | 0 1000 t | 2023 | — | flat |
| 92 | Bhutan | 0 1000 t | 2023 | — | flat |
| 92 | Grenada | 0 1000 t | 2023 | — | volatile |
| 92 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 92 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 92 | Maldives | 0 1000 t | 2023 | — | flat |
| 92 | Thailand | 0 1000 t | 2023 | — | flat |
| 92 | Yemen | 0 1000 t | 2023 | — | flat |
| 92 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 92 | Türkiye | 0 1000 t | 2023 | — | flat |
| 92 | China, Macao SAR | 0 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.
- World 90,307 1000 t
- Asia 58,194 1000 t
- Eastern Asia 53,242 1000 t
- Africa 27,902 1000 t
- Net Food Importing Developing Countries (NFIDCs) 24,277 1000 t
- Least Developed Countries (LDCs) 22,289 1000 t
- Low Income Food Deficit Countries (LIFDCs) 21,523 1000 t
- Eastern Africa 17,559 1000 t
- Land Locked Developing Countries (LLDCs) 14,593 1000 t
- Western Africa 6,101 1000 t
- Middle Africa 3,445 1000 t
- South-eastern Asia 3,249 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.