Roots, Other — 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
Roots, Other — Domestic supply quantity is currently reported for 179 countries. The highest value is 8,061 1000 t in Nigeria; the lowest is -69 1000 t in Honduras.
The median across all reporting countries is 1 1000 t, and the mean is 163.97 1000 t.
The gap between the highest and lowest reporting country is a factor of about 117.
Over the past decade 45 countries rose and 36 fell. The largest increase was in Jamaica (up 2,900.0%), and the largest decrease in Honduras (down 1,250.0%).
Roots, Other — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 8,061 1000 t | 2023 | up 158.4% | rising |
| 2 | Lao People's Democratic Republic | 4,738 1000 t | 2023 | up 220.1% | rising |
| 3 | China | 1,905 1000 t | 2023 | down 3.5% | flat |
| 4 | Ethiopia | 1,889 1000 t | 2023 | up 53.3% | rising |
| 5 | China, mainland | 1,845 1000 t | 2023 | down 3.4% | flat |
| 6 | Cameroon | 1,727 1000 t | 2023 | up 20.2% | rising |
| 7 | Ghana | 1,661 1000 t | 2023 | up 28.0% | rising |
| 8 | Democratic Republic of the Congo | 985 1000 t | 2023 | up 4.1% | rising |
| 9 | Melanesia | 778 1000 t | 2023 | down 0.6% | rising |
| 10 | Papua New Guinea | 645 1000 t | 2023 | up 4.5% | rising |
| 11 | Pakistan | 601 1000 t | 2023 | up 17.2% | falling |
| 12 | Namibia | 374 1000 t | 2023 | up 10.0% | rising |
| 12 | Thailand | 374 1000 t | 2023 | up 6.9% | rising |
| 14 | Indonesia | 348 1000 t | 2023 | down 18.7% | falling |
| 15 | Peru | 281 1000 t | 2023 | down 1.7% | falling |
| 17 | Madagascar | 227 1000 t | 2023 | down 2.2% | flat |
| 18 | Rwanda | 192 1000 t | 2023 | up 111.0% | rising |
| 19 | Mexico | 185 1000 t | 2023 | up 8.2% | rising |
| 20 | Egypt | 181 1000 t | 2023 | up 57.4% | rising |
| 21 | Cuba | 164 1000 t | 2019 | up 19.7% | rising |
| 22 | Nepal | 156 1000 t | 2023 | down 0.6% | rising |
| 23 | Venezuela (Bolivarian Republic of) | 148 1000 t | 2023 | up 6.5% | rising |
| 24 | Guinea | 132 1000 t | 2023 | up 17.9% | rising |
| 24 | Côte d'Ivoire | 132 1000 t | 2023 | up 41.9% | rising |
| 26 | Colombia | 121 1000 t | 2023 | up 1.7% | rising |
| 26 | Philippines | 121 1000 t | 2023 | down 4.7% | falling |
| 28 | Gabon | 113 1000 t | 2023 | up 25.6% | rising |
| 29 | Botswana | 105 1000 t | 2023 | up 5.0% | rising |
| 30 | Malaysia | 92 1000 t | 2023 | up 217.2% | volatile |
| 31 | Guinea-Bissau | 87 1000 t | 2023 | up 42.6% | rising |
| 32 | Eswatini | 67 1000 t | 2023 | up 11.7% | rising |
| 33 | Fiji | 66 1000 t | 2023 | up 1.5% | flat |
| 34 | Congo | 63 1000 t | 2023 | up 6.8% | rising |
| 35 | Sri Lanka | 62 1000 t | 2023 | — | volatile |
| 36 | Haiti | 61 1000 t | 2023 | unchanged | flat |
| 37 | Dominican Republic | 54 1000 t | 2023 | up 92.9% | rising |
| 37 | China, Taiwan Province of | 54 1000 t | 2023 | down 8.5% | falling |
| 39 | Bolivia (Plurinational State of) | 50 1000 t | 2023 | down 3.8% | flat |
| 40 | El Salvador | 48 1000 t | 2023 | up 14.3% | rising |
| 41 | Solomon Islands | 47 1000 t | 2023 | up 2.2% | rising |
| 42 | Cambodia | 41 1000 t | 2023 | up 7.9% | rising |
| 43 | Bhutan | 36 1000 t | 2023 | — | flat |
| 44 | Liberia | 30 1000 t | 2023 | up 7.1% | volatile |
| 44 | Polynesia | 30 1000 t | 2023 | down 3.2% | flat |
| 46 | Jamaica | 28 1000 t | 2023 | up 2,900.0% | rising |
| 47 | Timor-Leste | 25 1000 t | 2023 | down 10.7% | falling |
| 48 | Samoa | 24 1000 t | 2023 | down 4.0% | falling |
| 49 | Guyana | 23 1000 t | 2023 | up 35.3% | rising |
| 49 | Nicaragua | 23 1000 t | 2023 | down 82.6% | falling |
| 51 | Vanuatu | 19 1000 t | 2023 | down 65.5% | falling |
| 52 | Kenya | 18 1000 t | 2023 | down 5.3% | flat |
| 53 | Comoros | 15 1000 t | 2023 | up 36.4% | rising |
| 53 | Saudi Arabia | 15 1000 t | 2023 | up 150.0% | volatile |
| 55 | Sao Tome and Principe | 11 1000 t | 2023 | up 37.5% | rising |
| 56 | Mozambique | 10 1000 t | 2023 | up 11.1% | rising |
| 56 | Viet Nam | 10 1000 t | 2023 | — | volatile |
| 58 | Spain | 9 1000 t | 2023 | unchanged | falling |
| 58 | Iraq | 9 1000 t | 2023 | — | volatile |
| 58 | Australia and New Zealand | 9 1000 t | 2023 | unchanged | flat |
| 58 | United Kingdom of Great Britain and Northern Ireland | 9 1000 t | 2023 | up 28.6% | falling |
| 62 | Canada | 8 1000 t | 2023 | up 14.3% | falling |
| 62 | Israel | 8 1000 t | 2023 | unchanged | rising |
| 62 | Trinidad and Tobago | 8 1000 t | 2023 | down 33.3% | falling |
| 65 | Serbia | 7 1000 t | 2023 | — | volatile |
| 66 | Panama | 6 1000 t | 2023 | up 100.0% | rising |
| 67 | New Zealand | 5 1000 t | 2023 | down 16.7% | falling |
| 67 | Tonga | 5 1000 t | 2023 | — | rising |
| 67 | Saint Vincent and the Grenadines | 5 1000 t | 2023 | unchanged | falling |
| 70 | Australia | 4 1000 t | 2023 | up 33.3% | rising |
| 70 | India | 4 1000 t | 2023 | up 33.3% | volatile |
| 72 | Mauritius | 3 1000 t | 2023 | up 200.0% | volatile |
| 72 | Sierra Leone | 3 1000 t | 2023 | unchanged | rising |
| 72 | China, Hong Kong SAR | 3 1000 t | 2023 | up 50.0% | rising |
| 72 | China, Macao SAR | 3 1000 t | 2023 | down 25.0% | falling |
| 76 | France | 2 1000 t | 2023 | down 96.4% | volatile |
| 76 | Italy | 2 1000 t | 2023 | unchanged | rising |
| 76 | Kiribati | 2 1000 t | 2023 | unchanged | flat |
| 76 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 76 | Saint Lucia | 2 1000 t | 2023 | unchanged | flat |
| 76 | Suriname | 2 1000 t | 2023 | unchanged | rising |
| 76 | Uganda | 2 1000 t | 2023 | down 33.3% | volatile |
| 76 | Micronesia | 2 1000 t | 2023 | unchanged | flat |
| 76 | Republic of Korea | 2 1000 t | 2023 | down 33.3% | rising |
| 76 | United Republic of Tanzania | 2 1000 t | 2023 | unchanged | flat |
| 76 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | up 100.0% | volatile |
| 87 | Belgium | 1 1000 t | 2023 | down 50.0% | volatile |
| 87 | Bahrain | 1 1000 t | 2023 | — | falling |
| 87 | Costa Rica | 1 1000 t | 2023 | down 94.4% | volatile |
| 87 | Germany | 1 1000 t | 2023 | unchanged | volatile |
| 87 | Ireland | 1 1000 t | 2023 | — | volatile |
| 87 | Saint Kitts and Nevis | 1 1000 t | 2023 | unchanged | flat |
| 87 | Lebanon | 1 1000 t | 2023 | unchanged | rising |
| 87 | Norway | 1 1000 t | 2023 | unchanged | volatile |
| 87 | Oman | 1 1000 t | 2023 | down 50.0% | falling |
| 87 | Qatar | 1 1000 t | 2023 | — | falling |
| 87 | Zimbabwe | 1 1000 t | 2023 | unchanged | flat |
| 98 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 98 | Angola | 0 1000 t | 2023 | — | volatile |
| 98 | Albania | 0 1000 t | 2023 | — | flat |
| 98 | Argentina | 0 1000 t | 2020 | — | flat |
| 98 | Armenia | 0 1000 t | 2023 | — | flat |
| 98 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 98 | Austria | 0 1000 t | 2023 | — | flat |
| 98 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 98 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 98 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 98 | Bahamas | 0 1000 t | 2023 | — | flat |
| 98 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 98 | Belarus | 0 1000 t | 2023 | — | flat |
| 98 | Belize | 0 1000 t | 2023 | — | volatile |
| 98 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 98 | Barbados | 0 1000 t | 2023 | — | flat |
| 98 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 98 | Chile | 0 1000 t | 2023 | — | flat |
| 98 | Czechia | 0 1000 t | 2023 | — | flat |
| 98 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 98 | Denmark | 0 1000 t | 2023 | — | volatile |
| 98 | Algeria | 0 1000 t | 2023 | — | flat |
| 98 | Estonia | 0 1000 t | 2023 | — | flat |
| 98 | Finland | 0 1000 t | 2023 | — | flat |
| 98 | Georgia | 0 1000 t | 2023 | — | flat |
| 98 | Gambia | 0 1000 t | 2023 | — | volatile |
| 98 | Greece | 0 1000 t | 2023 | — | volatile |
| 98 | Grenada | 0 1000 t | 2023 | down 100.0% | falling |
| 98 | Guatemala | 0 1000 t | 2023 | — | flat |
| 98 | Croatia | 0 1000 t | 2023 | — | flat |
| 98 | Hungary | 0 1000 t | 2023 | — | flat |
| 98 | Iceland | 0 1000 t | 2023 | — | flat |
| 98 | Jordan | 0 1000 t | 2023 | — | flat |
| 98 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 98 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 98 | Libya | 0 1000 t | 2023 | — | flat |
| 98 | Lesotho | 0 1000 t | 2023 | — | flat |
| 98 | Lithuania | 0 1000 t | 2023 | — | flat |
| 98 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 98 | Latvia | 0 1000 t | 2023 | — | flat |
| 98 | Morocco | 0 1000 t | 2023 | — | flat |
| 98 | Maldives | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 98 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 98 | Malta | 0 1000 t | 2023 | — | flat |
| 98 | Montenegro | 0 1000 t | 2023 | — | flat |
| 98 | Mongolia | 0 1000 t | 2023 | — | flat |
| 98 | Mauritania | 0 1000 t | 2023 | — | flat |
| 98 | Malawi | 0 1000 t | 2023 | — | flat |
| 98 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 98 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Nauru | 0 1000 t | 2023 | — | flat |
| 98 | Poland | 0 1000 t | 2023 | — | flat |
| 98 | Portugal | 0 1000 t | 2023 | — | flat |
| 98 | Paraguay | 0 1000 t | 2023 | — | flat |
| 98 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 98 | Romania | 0 1000 t | 2023 | — | flat |
| 98 | Senegal | 0 1000 t | 2023 | — | flat |
| 98 | Slovakia | 0 1000 t | 2023 | — | flat |
| 98 | Slovenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Seychelles | 0 1000 t | 2023 | — | flat |
| 98 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 98 | Tunisia | 0 1000 t | 2023 | — | flat |
| 98 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 98 | Ukraine | 0 1000 t | 2023 | — | flat |
| 98 | Uruguay | 0 1000 t | 2021 | — | flat |
| 98 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 98 | Yemen | 0 1000 t | 2023 | — | flat |
| 98 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 98 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 98 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 98 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 98 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 98 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Democratic People's Republic of Korea | 0 1000 t | 2017 | — | flat |
| 174 | Bangladesh | -1 1000 t | 2023 | — | volatile |
| 174 | Cyprus | -1 1000 t | 2023 | down 150.0% | volatile |
| 174 | Zambia | -1 1000 t | 2023 | — | volatile |
| 177 | Myanmar | -3 1000 t | 2023 | — | volatile |
| 178 | United Arab Emirates | -5 1000 t | 2023 | down 155.6% | volatile |
| 179 | Ecuador | -8 1000 t | 2023 | down 166.7% | volatile |
| 180 | Honduras | -69 1000 t | 2023 | down 1,250.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 27,085 1000 t
- Africa 16,249 1000 t
- Net Food Importing Developing Countries (NFIDCs) 11,159 1000 t
- Western Africa 10,128 1000 t
- Least Developed Countries (LDCs) 8,807 1000 t
- Asia 8,767 1000 t
- Land Locked Developing Countries (LLDCs) 7,370 1000 t
- Low Income Food Deficit Countries (LIFDCs) 5,793 1000 t
- South-Eastern Asia 5,746 1000 t
- Middle Africa 2,969 1000 t
- Eastern Africa 2,424 1000 t
- Eastern Asia 2,130 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.