Yams — Food 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 — Food is currently reported for 105 countries. The highest value is 21,000 1000 t in Nigeria; the lowest is 0 1000 t in Lao People's Democratic Republic.
The median across all reporting countries is 1 1000 t, and the mean is 334.72 1000 t.
Over the past decade 23 countries rose and 14 fell. The largest increase was in Comoros (up 525.0%), and the largest decrease in Grenada (down 100.0%).
Yams — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 21,000 1000 t | 2023 | unchanged | rising |
| 2 | Côte d'Ivoire | 5,736 1000 t | 2023 | up 38.3% | rising |
| 3 | Ghana | 5,321 1000 t | 2023 | up 24.2% | rising |
| 4 | Melanesia | 405 1000 t | 2023 | up 9.2% | rising |
| 5 | Cameroon | 384 1000 t | 2023 | up 15.7% | rising |
| 6 | Colombia | 361 1000 t | 2023 | up 25.3% | rising |
| 7 | Papua New Guinea | 355 1000 t | 2023 | up 9.9% | rising |
| 8 | Guinea | 254 1000 t | 2023 | up 179.1% | rising |
| 9 | Caribbean | 206 1000 t | 2023 | down 73.0% | volatile |
| 10 | Gabon | 161 1000 t | 2023 | up 14.2% | rising |
| 11 | Jamaica | 143 1000 t | 2023 | up 25.4% | rising |
| 12 | Brazil | 127 1000 t | 2023 | up 8.5% | rising |
| 13 | Senegal | 113 1000 t | 2023 | — | volatile |
| 14 | Democratic Republic of the Congo | 103 1000 t | 2023 | up 27.2% | rising |
| 15 | Rwanda | 51 1000 t | 2023 | up 27.5% | rising |
| 16 | Venezuela (Bolivarian Republic of) | 47 1000 t | 2023 | up 9.3% | falling |
| 17 | Burkina Faso | 46 1000 t | 2023 | down 30.3% | falling |
| 18 | Solomon Islands | 43 1000 t | 2023 | up 2.4% | rising |
| 19 | Ethiopia | 41 1000 t | 2023 | up 105.0% | volatile |
| 20 | Dominican Republic | 32 1000 t | 2023 | up 28.0% | rising |
| 21 | Comoros | 25 1000 t | 2023 | up 525.0% | volatile |
| 22 | Cuba | 19 1000 t | 2019 | down 94.8% | volatile |
| 22 | Liberia | 19 1000 t | 2023 | unchanged | flat |
| 24 | Congo | 15 1000 t | 2023 | up 7.1% | rising |
| 25 | Panama | 14 1000 t | 2023 | up 7.7% | falling |
| 25 | United Kingdom of Great Britain and Northern Ireland | 14 1000 t | 2023 | up 27.3% | rising |
| 27 | Canada | 13 1000 t | 2023 | down 13.3% | rising |
| 28 | Philippines | 12 1000 t | 2023 | down 14.3% | falling |
| 29 | Haiti | 10 1000 t | 2023 | down 96.3% | volatile |
| 30 | United Republic of Tanzania | 8 1000 t | 2023 | unchanged | flat |
| 31 | Costa Rica | 6 1000 t | 2023 | unchanged | falling |
| 31 | Kenya | 6 1000 t | 2023 | down 33.3% | falling |
| 31 | Malaysia | 6 1000 t | 2023 | up 200.0% | volatile |
| 34 | China | 5 1000 t | 2023 | up 400.0% | volatile |
| 34 | Fiji | 5 1000 t | 2023 | unchanged | flat |
| 34 | France | 5 1000 t | 2023 | unchanged | rising |
| 37 | Niger | 4 1000 t | 2023 | — | volatile |
| 37 | China, Taiwan Province of | 4 1000 t | 2023 | up 300.0% | rising |
| 39 | United Arab Emirates | 3 1000 t | 2023 | unchanged | falling |
| 39 | Mauritania | 3 1000 t | 2023 | unchanged | flat |
| 39 | Pakistan | 3 1000 t | 2023 | — | volatile |
| 39 | Tonga | 3 1000 t | 2023 | — | rising |
| 39 | Polynesia | 3 1000 t | 2023 | down 40.0% | falling |
| 44 | Sao Tome and Principe | 2 1000 t | 2023 | unchanged | flat |
| 44 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | down 33.3% | volatile |
| 46 | Guyana | 1 1000 t | 2023 | — | volatile |
| 46 | Italy | 1 1000 t | 2023 | unchanged | volatile |
| 46 | New Caledonia | 1 1000 t | 2023 | unchanged | falling |
| 46 | Nicaragua | 1 1000 t | 2023 | unchanged | falling |
| 46 | Oman | 1 1000 t | 2023 | — | volatile |
| 46 | Qatar | 1 1000 t | 2023 | — | flat |
| 46 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 46 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 54 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 54 | Australia | 0 1000 t | 2023 | — | volatile |
| 54 | Austria | 0 1000 t | 2023 | — | flat |
| 54 | Belgium | 0 1000 t | 2023 | — | volatile |
| 54 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 54 | Bahamas | 0 1000 t | 2023 | — | flat |
| 54 | Belize | 0 1000 t | 2023 | — | flat |
| 54 | Barbados | 0 1000 t | 2023 | — | volatile |
| 54 | Botswana | 0 1000 t | 2023 | — | flat |
| 54 | Switzerland | 0 1000 t | 2023 | — | flat |
| 54 | Cyprus | 0 1000 t | 2023 | — | flat |
| 54 | Germany | 0 1000 t | 2023 | — | volatile |
| 54 | Denmark | 0 1000 t | 2023 | — | flat |
| 54 | Spain | 0 1000 t | 2023 | — | flat |
| 54 | Finland | 0 1000 t | 2023 | — | flat |
| 54 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 54 | Grenada | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Honduras | 0 1000 t | 2023 | — | flat |
| 54 | Indonesia | 0 1000 t | 2023 | — | flat |
| 54 | Ireland | 0 1000 t | 2023 | — | flat |
| 54 | Iceland | 0 1000 t | 2023 | — | flat |
| 54 | Cambodia | 0 1000 t | 2023 | — | flat |
| 54 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 54 | Lebanon | 0 1000 t | 2023 | — | flat |
| 54 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 54 | Lesotho | 0 1000 t | 2023 | — | flat |
| 54 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 54 | Morocco | 0 1000 t | 2023 | — | flat |
| 54 | Maldives | 0 1000 t | 2023 | — | flat |
| 54 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 54 | Malta | 0 1000 t | 2023 | — | flat |
| 54 | Mozambique | 0 1000 t | 2023 | — | flat |
| 54 | Malawi | 0 1000 t | 2023 | — | flat |
| 54 | Namibia | 0 1000 t | 2023 | — | flat |
| 54 | Norway | 0 1000 t | 2023 | — | flat |
| 54 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 54 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Romania | 0 1000 t | 2023 | — | flat |
| 54 | Slovenia | 0 1000 t | 2023 | — | flat |
| 54 | Sweden | 0 1000 t | 2023 | — | flat |
| 54 | Thailand | 0 1000 t | 2023 | — | flat |
| 54 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 54 | Ukraine | 0 1000 t | 2023 | — | flat |
| 54 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Samoa | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Micronesia | 0 1000 t | 2023 | — | flat |
| 54 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 54 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 54 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 54 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 54 | Lao People's Democratic Republic | 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 38,022 1000 t
- Africa 36,608 1000 t
- Western Africa 35,063 1000 t
- Net Food Importing Developing Countries (NFIDCs) 10,190 1000 t
- Low Income Food Deficit Countries (LIFDCs) 4,401 1000 t
- Least Developed Countries (LDCs) 4,039 1000 t
- Middle Africa 1,203 1000 t
- Americas 817 1000 t
- Land Locked Developing Countries (LLDCs) 806 1000 t
- Small Island Developing States (SIDS) 642 1000 t
- South America 535 1000 t
- Oceania 409 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.