Sweet potatoes — Losses 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 — Losses is currently reported for 107 countries. The highest value is 2,580 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 2 1000 t, and the mean is 81.43 1000 t.
Over the past decade 31 countries rose and 23 fell. The largest increase was in Zimbabwe (up 850.0%), and the largest decrease in Portugal (down 100.0%).
Sweet potatoes — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,580 1000 t | 2023 | down 9.5% | falling |
| 2 | China, mainland | 2,575 1000 t | 2023 | down 9.5% | falling |
| 3 | Nigeria | 1,113 1000 t | 2023 | up 9.7% | rising |
| 4 | Malawi | 482 1000 t | 2023 | — | volatile |
| 5 | Madagascar | 156 1000 t | 2023 | up 16.4% | rising |
| 6 | United Republic of Tanzania | 146 1000 t | 2023 | down 44.1% | flat |
| 7 | Angola | 140 1000 t | 2023 | up 55.6% | rising |
| 8 | India | 99 1000 t | 2023 | up 16.5% | rising |
| 8 | Rwanda | 99 1000 t | 2023 | up 22.2% | rising |
| 10 | Melanesia | 98 1000 t | 2023 | up 8.9% | rising |
| 11 | Ethiopia | 96 1000 t | 2023 | down 36.8% | flat |
| 12 | Papua New Guinea | 95 1000 t | 2023 | up 8.0% | rising |
| 13 | Indonesia | 82 1000 t | 2023 | down 62.0% | falling |
| 14 | Brazil | 70 1000 t | 2023 | up 84.2% | rising |
| 14 | Viet Nam | 70 1000 t | 2023 | down 31.4% | falling |
| 16 | Kenya | 67 1000 t | 2023 | up 21.8% | rising |
| 17 | Guinea | 56 1000 t | 2023 | up 69.7% | rising |
| 18 | Democratic People's Republic of Korea | 47 1000 t | 2018 | up 46.9% | rising |
| 19 | Cameroon | 46 1000 t | 2023 | up 76.9% | rising |
| 19 | Peru | 46 1000 t | 2023 | up 9.5% | rising |
| 19 | Uganda | 46 1000 t | 2023 | down 8.0% | falling |
| 22 | Caribbean | 43 1000 t | 2023 | down 71.3% | falling |
| 23 | Egypt | 40 1000 t | 2023 | down 4.8% | rising |
| 24 | Mozambique | 36 1000 t | 2023 | down 68.7% | falling |
| 25 | Sierra Leone | 34 1000 t | 2023 | down 50.0% | falling |
| 26 | Democratic Republic of the Congo | 30 1000 t | 2023 | down 14.3% | rising |
| 27 | Ghana | 27 1000 t | 2023 | up 3.8% | rising |
| 28 | Bangladesh | 23 1000 t | 2023 | up 15.0% | flat |
| 29 | Cuba | 22 1000 t | 2019 | up 29.4% | rising |
| 30 | Republic of Korea | 21 1000 t | 2023 | unchanged | rising |
| 31 | Haiti | 20 1000 t | 2023 | down 83.5% | volatile |
| 32 | Zimbabwe | 19 1000 t | 2023 | up 850.0% | volatile |
| 33 | Senegal | 17 1000 t | 2023 | up 183.3% | rising |
| 34 | Niger | 16 1000 t | 2023 | up 128.6% | rising |
| 35 | Zambia | 15 1000 t | 2023 | up 7.1% | falling |
| 36 | Philippines | 11 1000 t | 2023 | up 10.0% | rising |
| 37 | Argentina | 10 1000 t | 2023 | down 64.3% | falling |
| 37 | Burkina Faso | 10 1000 t | 2023 | down 23.1% | rising |
| 37 | Netherlands (Kingdom of the) | 10 1000 t | 2023 | up 400.0% | volatile |
| 40 | Côte d'Ivoire | 9 1000 t | 2023 | up 28.6% | rising |
| 41 | Australia and New Zealand | 8 1000 t | 2023 | up 33.3% | rising |
| 42 | Australia | 7 1000 t | 2023 | up 40.0% | rising |
| 42 | Lao People's Democratic Republic | 7 1000 t | 2023 | up 40.0% | rising |
| 44 | Dominican Republic | 6 1000 t | 2023 | up 50.0% | rising |
| 44 | Jamaica | 6 1000 t | 2023 | down 14.3% | rising |
| 44 | Mexico | 6 1000 t | 2023 | up 100.0% | rising |
| 44 | Uruguay | 6 1000 t | 2023 | unchanged | rising |
| 48 | China, Taiwan Province of | 5 1000 t | 2023 | unchanged | flat |
| 49 | Guyana | 3 1000 t | 2023 | — | volatile |
| 49 | Cambodia | 3 1000 t | 2023 | unchanged | falling |
| 49 | Sri Lanka | 3 1000 t | 2023 | unchanged | falling |
| 49 | Myanmar | 3 1000 t | 2023 | unchanged | flat |
| 49 | Malaysia | 3 1000 t | 2023 | down 25.0% | rising |
| 54 | Honduras | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Israel | 2 1000 t | 2023 | unchanged | rising |
| 54 | Liberia | 2 1000 t | 2023 | unchanged | flat |
| 54 | Morocco | 2 1000 t | 2023 | down 50.0% | falling |
| 54 | Pakistan | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Paraguay | 2 1000 t | 2023 | down 33.3% | flat |
| 54 | Solomon Islands | 2 1000 t | 2023 | unchanged | flat |
| 54 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | up 100.0% | rising |
| 62 | Canada | 1 1000 t | 2023 | unchanged | flat |
| 62 | Chile | 1 1000 t | 2023 | unchanged | flat |
| 62 | Congo | 1 1000 t | 2023 | unchanged | flat |
| 62 | Comoros | 1 1000 t | 2023 | unchanged | flat |
| 62 | Spain | 1 1000 t | 2023 | unchanged | volatile |
| 62 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 62 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 62 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 62 | Thailand | 1 1000 t | 2023 | down 50.0% | rising |
| 71 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 71 | Bahrain | 0 1000 t | 2023 | — | flat |
| 71 | Bahamas | 0 1000 t | 2023 | — | flat |
| 71 | Belize | 0 1000 t | 2023 | — | flat |
| 71 | Barbados | 0 1000 t | 2023 | — | flat |
| 71 | Bhutan | 0 1000 t | 2023 | — | flat |
| 71 | Botswana | 0 1000 t | 2023 | — | flat |
| 71 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 71 | Ecuador | 0 1000 t | 2023 | — | flat |
| 71 | Fiji | 0 1000 t | 2023 | — | flat |
| 71 | Gabon | 0 1000 t | 2023 | — | flat |
| 71 | Greece | 0 1000 t | 2023 | — | flat |
| 71 | Grenada | 0 1000 t | 2023 | — | flat |
| 71 | Guatemala | 0 1000 t | 2023 | — | flat |
| 71 | Italy | 0 1000 t | 2023 | — | flat |
| 71 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 71 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 71 | Maldives | 0 1000 t | 2023 | — | flat |
| 71 | Mauritius | 0 1000 t | 2023 | — | flat |
| 71 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 71 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Qatar | 0 1000 t | 2023 | — | flat |
| 71 | El Salvador | 0 1000 t | 2023 | — | flat |
| 71 | Suriname | 0 1000 t | 2023 | — | flat |
| 71 | Tonga | 0 1000 t | 2023 | — | flat |
| 71 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 71 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 71 | Yemen | 0 1000 t | 2023 | — | flat |
| 71 | Micronesia | 0 1000 t | 2023 | — | flat |
| 71 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Cabo Verde | 0 1000 t | 2023 | down 100.0% | volatile |
| 71 | Polynesia | 0 1000 t | 2023 | — | flat |
| 71 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 71 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 71 | Türkiye | 0 1000 t | 2019 | — | flat |
| 71 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 71 | China, Macao SAR | 0 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 6,129 1000 t
- Asia 2,959 1000 t
- Africa 2,846 1000 t
- Eastern Asia 2,649 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,773 1000 t
- Least Developed Countries (LDCs) 1,576 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,559 1000 t
- Western Africa 1,371 1000 t
- Eastern Africa 1,180 1000 t
- Land Locked Developing Countries (LLDCs) 902 1000 t
- Middle Africa 233 1000 t
- Americas 207 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.