Yams — Residuals 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
Yams — Residuals is currently reported for 130 countries. The highest value is 9,527 1000 t in Nigeria; the lowest is -11 1000 t in China, mainland.
The median across all reporting countries is 0 1000 t, and the mean is 73.01 1000 t.
The gap between the highest and lowest reporting country is a factor of about 866.
Over the past decade 1 countries rose and 4 fell. The largest increase was in Myanmar (up 100.0%), and the largest decrease in Germany (down 100.0%).
Yams — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 9,527 1000 t | 2023 | — | volatile |
| 2 | Angola | 0 1000 t | 2023 | — | flat |
| 2 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 2 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 2 | Australia | 0 1000 t | 2023 | — | flat |
| 2 | Austria | 0 1000 t | 2023 | — | flat |
| 2 | Belgium | 0 1000 t | 2023 | — | flat |
| 2 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 2 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 2 | Bahrain | 0 1000 t | 2023 | — | flat |
| 2 | Bahamas | 0 1000 t | 2023 | — | flat |
| 2 | Belize | 0 1000 t | 2023 | — | flat |
| 2 | Brazil | 0 1000 t | 2023 | — | flat |
| 2 | Barbados | 0 1000 t | 2023 | — | flat |
| 2 | Botswana | 0 1000 t | 2023 | — | flat |
| 2 | Canada | 0 1000 t | 2023 | — | flat |
| 2 | Switzerland | 0 1000 t | 2023 | — | flat |
| 2 | Cameroon | 0 1000 t | 2023 | — | flat |
| 2 | Congo | 0 1000 t | 2023 | — | flat |
| 2 | Colombia | 0 1000 t | 2023 | — | volatile |
| 2 | Comoros | 0 1000 t | 2023 | — | flat |
| 2 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 2 | Cuba | 0 1000 t | 2019 | — | flat |
| 2 | Cyprus | 0 1000 t | 2023 | — | flat |
| 2 | Czechia | 0 1000 t | 2023 | — | flat |
| 2 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Denmark | 0 1000 t | 2023 | — | flat |
| 2 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 2 | Ecuador | 0 1000 t | 2023 | — | flat |
| 2 | Spain | 0 1000 t | 2023 | — | flat |
| 2 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 2 | Finland | 0 1000 t | 2023 | — | flat |
| 2 | Fiji | 0 1000 t | 2023 | — | flat |
| 2 | France | 0 1000 t | 2023 | — | flat |
| 2 | Gabon | 0 1000 t | 2023 | — | flat |
| 2 | Ghana | 0 1000 t | 2023 | — | flat |
| 2 | Guinea | 0 1000 t | 2023 | — | flat |
| 2 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 2 | Greece | 0 1000 t | 2022 | — | flat |
| 2 | Grenada | 0 1000 t | 2023 | — | flat |
| 2 | Guatemala | 0 1000 t | 2020 | — | flat |
| 2 | Guyana | 0 1000 t | 2023 | — | flat |
| 2 | Honduras | 0 1000 t | 2023 | — | flat |
| 2 | Croatia | 0 1000 t | 2023 | — | flat |
| 2 | Haiti | 0 1000 t | 2023 | — | volatile |
| 2 | Hungary | 0 1000 t | 2023 | — | flat |
| 2 | Indonesia | 0 1000 t | 2023 | — | flat |
| 2 | Ireland | 0 1000 t | 2023 | — | flat |
| 2 | Iceland | 0 1000 t | 2023 | — | flat |
| 2 | Israel | 0 1000 t | 2022 | — | flat |
| 2 | Italy | 0 1000 t | 2023 | — | flat |
| 2 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 2 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 2 | Cambodia | 0 1000 t | 2023 | — | flat |
| 2 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 2 | Kuwait | 0 1000 t | 2023 | — | flat |
| 2 | Lebanon | 0 1000 t | 2023 | — | flat |
| 2 | Liberia | 0 1000 t | 2023 | — | flat |
| 2 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 2 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 2 | Lesotho | 0 1000 t | 2023 | — | flat |
| 2 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 2 | Morocco | 0 1000 t | 2023 | — | flat |
| 2 | Maldives | 0 1000 t | 2023 | — | flat |
| 2 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 2 | Malta | 0 1000 t | 2023 | — | flat |
| 2 | Myanmar | 0 1000 t | 2022 | up 100.0% | volatile |
| 2 | Mozambique | 0 1000 t | 2023 | — | flat |
| 2 | Mauritania | 0 1000 t | 2023 | — | flat |
| 2 | Malawi | 0 1000 t | 2023 | — | flat |
| 2 | Malaysia | 0 1000 t | 2023 | — | flat |
| 2 | Namibia | 0 1000 t | 2023 | — | flat |
| 2 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 2 | Niger | 0 1000 t | 2023 | — | flat |
| 2 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 2 | Norway | 0 1000 t | 2023 | — | flat |
| 2 | Nepal | 0 1000 t | 2023 | — | flat |
| 2 | New Zealand | 0 1000 t | 2023 | — | flat |
| 2 | Oman | 0 1000 t | 2023 | — | flat |
| 2 | Pakistan | 0 1000 t | 2023 | — | flat |
| 2 | Panama | 0 1000 t | 2023 | — | flat |
| 2 | Philippines | 0 1000 t | 2023 | — | flat |
| 2 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 2 | Poland | 0 1000 t | 2023 | — | flat |
| 2 | Portugal | 0 1000 t | 2023 | — | flat |
| 2 | Qatar | 0 1000 t | 2023 | — | flat |
| 2 | Romania | 0 1000 t | 2023 | — | flat |
| 2 | Rwanda | 0 1000 t | 2023 | — | flat |
| 2 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 2 | Senegal | 0 1000 t | 2023 | — | flat |
| 2 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 2 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 2 | Slovenia | 0 1000 t | 2023 | — | flat |
| 2 | Sweden | 0 1000 t | 2023 | — | flat |
| 2 | Eswatini | 0 1000 t | 2023 | — | flat |
| 2 | Thailand | 0 1000 t | 2023 | — | flat |
| 2 | Tonga | 0 1000 t | 2023 | — | flat |
| 2 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 2 | Tunisia | 0 1000 t | 2023 | — | flat |
| 2 | Uganda | 0 1000 t | 2023 | — | flat |
| 2 | Ukraine | 0 1000 t | 2023 | — | flat |
| 2 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 2 | Samoa | 0 1000 t | 2023 | — | flat |
| 2 | Zambia | 0 1000 t | 2023 | — | flat |
| 2 | Micronesia | 0 1000 t | 2023 | — | flat |
| 2 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 2 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 2 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 2 | Polynesia | 0 1000 t | 2023 | — | flat |
| 2 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 2 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 2 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 2 | Iran (Islamic Republic of) | 0 1000 t | 2022 | — | flat |
| 2 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 2 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 2 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 2 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 2 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 2 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 2 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 2 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 2 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 2 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 2 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 125 | Viet Nam | -1 1000 t | 2023 | — | volatile |
| 126 | Kenya | -2 1000 t | 2023 | — | volatile |
| 127 | Afghanistan | -3 1000 t | 2023 | — | volatile |
| 128 | India | -8 1000 t | 2023 | down 100.0% | volatile |
| 129 | China | -11 1000 t | 2023 | down 37.5% | falling |
| 129 | China, mainland | -11 1000 t | 2023 | down 37.5% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Western Africa 9,527 1000 t
- Africa 9,525 1000 t
- World 9,502 1000 t
- South Africa 0 1000 t
- European Union (27) 0 1000 t
- Europe 0 1000 t
- Oceania 0 1000 t
- South America 0 1000 t
- Americas 0 1000 t
- Northern America 0 1000 t
- Small Island Developing States (SIDS) 0 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.