Yams — Domestic supply quantity 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 — Domestic supply quantity is currently reported for 130 countries. The highest value is 61,921 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 640.24 1000 t.
The gap between the highest and lowest reporting country is a factor of about 5,629.
Over the past decade 25 countries rose and 20 fell. The largest increase was in Comoros (up 520.0%), and the largest decrease in Germany (down 100.0%).
Yams — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 61,921 1000 t | 2023 | up 120.0% | rising |
| 2 | Ghana | 9,480 1000 t | 2023 | up 34.3% | rising |
| 3 | Côte d'Ivoire | 7,937 1000 t | 2023 | up 38.5% | rising |
| 4 | Cameroon | 536 1000 t | 2023 | down 3.6% | rising |
| 5 | Melanesia | 479 1000 t | 2023 | up 19.2% | rising |
| 6 | Colombia | 403 1000 t | 2023 | up 10.4% | rising |
| 7 | Papua New Guinea | 384 1000 t | 2023 | up 9.4% | rising |
| 8 | Guinea | 357 1000 t | 2023 | up 200.0% | rising |
| 9 | Caribbean | 280 1000 t | 2023 | down 71.3% | falling |
| 10 | Brazil | 246 1000 t | 2023 | up 5.1% | flat |
| 11 | Gabon | 230 1000 t | 2023 | up 9.5% | rising |
| 12 | Jamaica | 185 1000 t | 2023 | up 35.0% | rising |
| 13 | Senegal | 126 1000 t | 2023 | — | volatile |
| 14 | Democratic Republic of the Congo | 125 1000 t | 2023 | up 25.0% | rising |
| 15 | Burkina Faso | 63 1000 t | 2023 | down 13.7% | falling |
| 16 | Venezuela (Bolivarian Republic of) | 56 1000 t | 2023 | up 12.0% | falling |
| 17 | Rwanda | 55 1000 t | 2023 | down 12.7% | rising |
| 18 | Ethiopia | 50 1000 t | 2023 | up 108.3% | volatile |
| 19 | Solomon Islands | 45 1000 t | 2023 | up 2.3% | rising |
| 20 | Dominican Republic | 40 1000 t | 2023 | up 48.1% | rising |
| 21 | Comoros | 31 1000 t | 2023 | up 520.0% | volatile |
| 22 | Cuba | 21 1000 t | 2019 | down 94.7% | volatile |
| 23 | Haiti | 20 1000 t | 2023 | down 95.2% | volatile |
| 23 | Liberia | 20 1000 t | 2023 | down 4.8% | flat |
| 25 | Canada | 18 1000 t | 2023 | down 5.3% | rising |
| 26 | Panama | 17 1000 t | 2023 | up 6.2% | falling |
| 27 | Congo | 16 1000 t | 2023 | up 6.7% | rising |
| 28 | United Kingdom of Great Britain and Northern Ireland | 14 1000 t | 2023 | up 27.3% | rising |
| 29 | Philippines | 12 1000 t | 2023 | down 20.0% | falling |
| 30 | Costa Rica | 9 1000 t | 2023 | down 10.0% | volatile |
| 30 | United Republic of Tanzania | 9 1000 t | 2023 | unchanged | falling |
| 32 | United Arab Emirates | 7 1000 t | 2023 | unchanged | falling |
| 32 | Malaysia | 7 1000 t | 2023 | up 250.0% | volatile |
| 32 | Polynesia | 7 1000 t | 2023 | unchanged | rising |
| 35 | Fiji | 6 1000 t | 2023 | up 20.0% | rising |
| 35 | Kenya | 6 1000 t | 2023 | down 53.8% | falling |
| 37 | France | 5 1000 t | 2023 | unchanged | rising |
| 38 | Niger | 4 1000 t | 2023 | — | volatile |
| 38 | Tonga | 4 1000 t | 2023 | — | rising |
| 38 | China, Taiwan Province of | 4 1000 t | 2023 | up 300.0% | rising |
| 41 | Mauritania | 3 1000 t | 2023 | unchanged | flat |
| 41 | Pakistan | 3 1000 t | 2023 | — | volatile |
| 43 | Guyana | 2 1000 t | 2023 | up 100.0% | volatile |
| 43 | New Caledonia | 2 1000 t | 2023 | unchanged | falling |
| 43 | Sao Tome and Principe | 2 1000 t | 2023 | unchanged | flat |
| 43 | Samoa | 2 1000 t | 2023 | down 71.4% | volatile |
| 43 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | down 33.3% | volatile |
| 48 | Barbados | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Italy | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 48 | Nicaragua | 1 1000 t | 2023 | unchanged | flat |
| 48 | Oman | 1 1000 t | 2023 | — | volatile |
| 48 | Qatar | 1 1000 t | 2023 | — | flat |
| 48 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | down 66.7% | falling |
| 48 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 48 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 57 | Angola | 0 1000 t | 2023 | — | flat |
| 57 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 57 | Australia | 0 1000 t | 2023 | — | volatile |
| 57 | Austria | 0 1000 t | 2023 | — | flat |
| 57 | Belgium | 0 1000 t | 2023 | — | volatile |
| 57 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 57 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 57 | Bahamas | 0 1000 t | 2023 | — | flat |
| 57 | Belize | 0 1000 t | 2023 | — | flat |
| 57 | Botswana | 0 1000 t | 2023 | — | flat |
| 57 | Switzerland | 0 1000 t | 2023 | — | flat |
| 57 | Cyprus | 0 1000 t | 2023 | — | flat |
| 57 | Czechia | 0 1000 t | 2023 | — | flat |
| 57 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Denmark | 0 1000 t | 2023 | — | flat |
| 57 | Ecuador | 0 1000 t | 2023 | — | flat |
| 57 | Spain | 0 1000 t | 2023 | — | flat |
| 57 | Finland | 0 1000 t | 2023 | — | flat |
| 57 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 57 | Greece | 0 1000 t | 2022 | — | flat |
| 57 | Grenada | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Guatemala | 0 1000 t | 2020 | — | flat |
| 57 | Honduras | 0 1000 t | 2023 | — | flat |
| 57 | Croatia | 0 1000 t | 2023 | — | flat |
| 57 | Hungary | 0 1000 t | 2023 | — | flat |
| 57 | Indonesia | 0 1000 t | 2023 | — | flat |
| 57 | Ireland | 0 1000 t | 2023 | — | flat |
| 57 | Iceland | 0 1000 t | 2023 | — | flat |
| 57 | Israel | 0 1000 t | 2022 | — | flat |
| 57 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 57 | Cambodia | 0 1000 t | 2023 | — | flat |
| 57 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 57 | Lebanon | 0 1000 t | 2023 | — | flat |
| 57 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 57 | Lesotho | 0 1000 t | 2023 | — | flat |
| 57 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 57 | Morocco | 0 1000 t | 2023 | — | flat |
| 57 | Maldives | 0 1000 t | 2023 | — | flat |
| 57 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 57 | Malta | 0 1000 t | 2023 | — | flat |
| 57 | Myanmar | 0 1000 t | 2022 | up 100.0% | volatile |
| 57 | Mozambique | 0 1000 t | 2023 | — | flat |
| 57 | Malawi | 0 1000 t | 2023 | — | flat |
| 57 | Namibia | 0 1000 t | 2023 | — | flat |
| 57 | Norway | 0 1000 t | 2023 | — | flat |
| 57 | Nepal | 0 1000 t | 2023 | — | flat |
| 57 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 57 | Poland | 0 1000 t | 2023 | — | flat |
| 57 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Romania | 0 1000 t | 2023 | — | flat |
| 57 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 57 | Slovenia | 0 1000 t | 2023 | — | flat |
| 57 | Sweden | 0 1000 t | 2023 | — | flat |
| 57 | Eswatini | 0 1000 t | 2023 | — | flat |
| 57 | Thailand | 0 1000 t | 2023 | — | flat |
| 57 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 57 | Tunisia | 0 1000 t | 2023 | — | flat |
| 57 | Uganda | 0 1000 t | 2023 | — | flat |
| 57 | Ukraine | 0 1000 t | 2023 | — | flat |
| 57 | Zambia | 0 1000 t | 2023 | — | flat |
| 57 | Micronesia | 0 1000 t | 2023 | — | flat |
| 57 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 57 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 57 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 57 | Iran (Islamic Republic of) | 0 1000 t | 2022 | — | flat |
| 57 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 57 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 57 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 126 | Viet Nam | -1 1000 t | 2023 | — | volatile |
| 127 | Afghanistan | -3 1000 t | 2023 | — | volatile |
| 128 | China | -6 1000 t | 2023 | up 14.3% | volatile |
| 129 | India | -8 1000 t | 2023 | down 100.0% | volatile |
| 130 | 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.
- World 88,054 1000 t
- Africa 86,302 1000 t
- Western Africa 84,316 1000 t
- Net Food Importing Developing Countries (NFIDCs) 14,732 1000 t
- Low Income Food Deficit Countries (LIFDCs) 6,749 1000 t
- Least Developed Countries (LDCs) 6,235 1000 t
- Middle Africa 1,605 1000 t
- Americas 1,073 1000 t
- Land Locked Developing Countries (LLDCs) 1,005 1000 t
- Small Island Developing States (SIDS) 801 1000 t
- South America 707 1000 t
- Oceania 486 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.