Cassava and products — 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
Cassava and products — Domestic supply quantity is currently reported for 162 countries. The highest value is 62,670 1000 t in Nigeria; the lowest is -177 1000 t in Costa Rica.
The median across all reporting countries is 3 1000 t, and the mean is 1,943 1000 t.
The gap between the highest and lowest reporting country is a factor of about 354.
Over the past decade 51 countries rose and 37 fell. The largest increase was in Burkina Faso (up 941.2%), and the largest decrease in Costa Rica (down 511.6%).
Cassava and products — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 62,670 1000 t | 2023 | up 32.2% | rising |
| 2 | China, People's Republic of | 45,572 1000 t | 2023 | up 14.0% | rising |
| 3 | China, mainland | 39,540 1000 t | 2023 | up 17.7% | rising |
| 4 | Ghana | 26,527 1000 t | 2023 | up 66.0% | rising |
| 5 | Brazil | 18,383 1000 t | 2023 | down 14.6% | falling |
| 6 | Thailand | 17,664 1000 t | 2023 | up 168.4% | volatile |
| 7 | Indonesia | 16,438 1000 t | 2023 | down 32.1% | falling |
| 8 | Angola | 11,243 1000 t | 2023 | down 28.9% | falling |
| 9 | Mozambique | 7,614 1000 t | 2023 | up 74.6% | rising |
| 10 | Cameroon | 6,446 1000 t | 2023 | up 40.3% | rising |
| 11 | Malawi | 6,314 1000 t | 2023 | up 31.9% | rising |
| 12 | China, Taiwan Province of | 6,023 1000 t | 2023 | down 5.4% | falling |
| 13 | India | 5,856 1000 t | 2023 | down 19.3% | falling |
| 14 | Cambodia | 5,752 1000 t | 2023 | down 21.2% | rising |
| 15 | Zambia | 4,448 1000 t | 2023 | up 299.3% | volatile |
| 16 | Malaysia | 4,232 1000 t | 2023 | up 27.2% | rising |
| 17 | Philippines | 3,309 1000 t | 2023 | up 23.0% | rising |
| 18 | Paraguay | 3,189 1000 t | 2023 | up 21.0% | rising |
| 19 | Guinea | 3,001 1000 t | 2023 | up 146.2% | rising |
| 20 | Madagascar, Republic of | 2,597 1000 t | 2023 | down 16.7% | falling |
| 21 | Sierra Leone | 2,079 1000 t | 2023 | down 45.6% | falling |
| 22 | Uganda | 1,863 1000 t | 2023 | down 36.5% | falling |
| 23 | Congo, Republic of | 1,619 1000 t | 2023 | up 21.9% | rising |
| 24 | Peru | 1,484 1000 t | 2023 | up 25.5% | rising |
| 25 | Rwanda | 1,387 1000 t | 2023 | up 30.6% | rising |
| 26 | Senegal | 1,357 1000 t | 2023 | up 775.5% | volatile |
| 27 | Kenya | 1,189 1000 t | 2023 | up 29.2% | rising |
| 28 | Colombia | 1,124 1000 t | 2023 | down 55.3% | falling |
| 29 | Cuba | 920 1000 t | 2019 | up 126.6% | rising |
| 30 | Haiti | 638 1000 t | 2023 | up 52.6% | rising |
| 31 | Liberia | 628 1000 t | 2023 | up 22.2% | rising |
| 32 | Niger | 471 1000 t | 2023 | up 192.5% | volatile |
| 33 | Argentina | 374 1000 t | 2023 | up 37.5% | rising |
| 34 | Sri Lanka | 350 1000 t | 2023 | up 10.4% | flat |
| 35 | Gabon | 313 1000 t | 2023 | down 1.3% | rising |
| 36 | Zimbabwe | 253 1000 t | 2023 | up 9.5% | rising |
| 37 | Nicaragua | 249 1000 t | 2023 | down 6.7% | rising |
| 38 | Myanmar | 220 1000 t | 2023 | down 58.3% | falling |
| 39 | Dominican Republic | 196 1000 t | 2023 | up 7.1% | flat |
| 40 | Burkina Faso | 177 1000 t | 2023 | up 941.2% | volatile |
| 41 | Papua New Guinea | 164 1000 t | 2023 | up 7.2% | rising |
| 42 | Ecuador | 117 1000 t | 2023 | up 165.9% | rising |
| 43 | Fiji, Republic of | 107 1000 t | 2023 | up 44.6% | rising |
| 44 | Guyana | 90 1000 t | 2023 | up 900.0% | volatile |
| 45 | El Salvador | 67 1000 t | 2023 | down 4.3% | rising |
| 46 | Comoros, Union of the | 58 1000 t | 2023 | down 4.9% | falling |
| 47 | Guinea-Bissau | 55 1000 t | 2023 | up 139.1% | falling |
| 48 | Honduras | 42 1000 t | 2023 | up 90.9% | rising |
| 48 | Panama | 42 1000 t | 2023 | up 20.0% | rising |
| 50 | Republic of Korea | 35 1000 t | 2023 | down 94.3% | falling |
| 51 | Mauritius | 31 1000 t | 2023 | up 416.7% | volatile |
| 52 | Mexico | 28 1000 t | 2023 | unchanged | rising |
| 53 | Canada | 25 1000 t | 2023 | down 87.0% | volatile |
| 53 | United Kingdom of Great Britain and Northern Ireland | 25 1000 t | 2023 | up 257.1% | rising |
| 55 | Bangladesh | 23 1000 t | 2023 | down 37.8% | falling |
| 55 | Qatar | 23 1000 t | 2023 | — | falling |
| 57 | Australia and New Zealand | 21 1000 t | 2023 | down 30.0% | flat |
| 58 | Jamaica | 20 1000 t | 2023 | up 17.6% | rising |
| 59 | Australia | 16 1000 t | 2023 | down 30.4% | rising |
| 59 | Spain | 16 1000 t | 2023 | up 77.8% | rising |
| 59 | France | 16 1000 t | 2023 | up 23.1% | rising |
| 59 | South Africa | 16 1000 t | 2023 | up 14.3% | falling |
| 63 | Gambia, The | 15 1000 t | 2023 | up 25.0% | rising |
| 64 | Vanuatu | 10 1000 t | 2023 | — | volatile |
| 65 | Germany | 9 1000 t | 2023 | up 28.6% | rising |
| 65 | Italy | 9 1000 t | 2023 | up 350.0% | volatile |
| 65 | China, Hong Kong SAR | 9 1000 t | 2023 | up 200.0% | volatile |
| 68 | Chile | 7 1000 t | 2023 | unchanged | rising |
| 68 | Suriname | 7 1000 t | 2023 | down 22.2% | rising |
| 70 | United Arab Emirates | 6 1000 t | 2023 | unchanged | falling |
| 70 | Guatemala | 6 1000 t | 2023 | up 20.0% | rising |
| 70 | New Zealand | 6 1000 t | 2023 | down 14.3% | falling |
| 70 | Portugal | 6 1000 t | 2023 | up 500.0% | volatile |
| 70 | French Polynesia | 6 1000 t | 2023 | down 14.3% | rising |
| 70 | Netherlands (Kingdom of the) | 6 1000 t | 2023 | down 40.0% | volatile |
| 76 | Oman | 5 1000 t | 2023 | up 400.0% | volatile |
| 76 | Pakistan | 5 1000 t | 2023 | up 400.0% | volatile |
| 76 | Trinidad and Tobago | 5 1000 t | 2023 | unchanged | rising |
| 79 | Belgium | 4 1000 t | 2023 | unchanged | volatile |
| 79 | Algeria | 4 1000 t | 2023 | — | volatile |
| 79 | Sweden | 4 1000 t | 2023 | up 33.3% | rising |
| 82 | Austria | 2 1000 t | 2023 | — | volatile |
| 82 | Bahamas, The | 2 1000 t | 2023 | unchanged | falling |
| 82 | Switzerland | 2 1000 t | 2023 | unchanged | falling |
| 82 | Ireland | 2 1000 t | 2023 | — | volatile |
| 82 | Israel | 2 1000 t | 2023 | down 33.3% | rising |
| 82 | Kuwait | 2 1000 t | 2023 | up 100.0% | volatile |
| 82 | Maldives | 2 1000 t | 2023 | — | volatile |
| 82 | New Caledonia | 2 1000 t | 2023 | up 100.0% | rising |
| 82 | Norway | 2 1000 t | 2023 | down 33.3% | falling |
| 82 | Poland | 2 1000 t | 2023 | — | volatile |
| 82 | Solomon Islands | 2 1000 t | 2023 | down 33.3% | falling |
| 82 | Uruguay | 2 1000 t | 2023 | unchanged | flat |
| 82 | Russian Federation | 2 1000 t | 2023 | down 33.3% | volatile |
| 95 | Belize | 1 1000 t | 2023 | — | volatile |
| 95 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 95 | Czechia | 1 1000 t | 2023 | unchanged | volatile |
| 95 | Finland | 1 1000 t | 2023 | — | volatile |
| 95 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 95 | St. Lucia | 1 1000 t | 2023 | unchanged | rising |
| 95 | Nepal | 1 1000 t | 2023 | unchanged | volatile |
| 95 | São Tomé and Príncipe, Democratic Republic of | 1 1000 t | 2023 | unchanged | falling |
| 95 | Tonga | 1 1000 t | 2023 | — | volatile |
| 95 | Samoa | 1 1000 t | 2023 | — | volatile |
| 105 | Afghanistan, Islamic Republic of | 0 1000 t | 2023 | — | volatile |
| 105 | Albania | 0 1000 t | 2023 | — | flat |
| 105 | Armenia, Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Antigua and Barbuda | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Azerbaijan, Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 105 | Bahrain, Kingdom of | 0 1000 t | 2023 | — | flat |
| 105 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 105 | Belarus, Republic of | 0 1000 t | 2023 | — | volatile |
| 105 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 105 | Botswana | 0 1000 t | 2023 | — | flat |
| 105 | Cyprus | 0 1000 t | 2023 | — | flat |
| 105 | Djibouti | 0 1000 t | 2023 | — | flat |
| 105 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Egypt | 0 1000 t | 2023 | — | volatile |
| 105 | Estonia | 0 1000 t | 2023 | — | volatile |
| 105 | Ethiopia, The Federal Democratic Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Georgia | 0 1000 t | 2023 | — | flat |
| 105 | Greece | 0 1000 t | 2023 | — | volatile |
| 105 | Grenada | 0 1000 t | 2023 | — | flat |
| 105 | Croatia | 0 1000 t | 2023 | — | flat |
| 105 | Hungary | 0 1000 t | 2023 | — | volatile |
| 105 | Iraq | 0 1000 t | 2023 | — | flat |
| 105 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Jordan | 0 1000 t | 2023 | — | flat |
| 105 | Kazakhstan, Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Kyrgyz Republic | 0 1000 t | 2023 | — | flat |
| 105 | Kiribati | 0 1000 t | 2023 | — | flat |
| 105 | St. Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 105 | Libya | 0 1000 t | 2023 | — | flat |
| 105 | Lesotho | 0 1000 t | 2023 | — | flat |
| 105 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 105 | Latvia | 0 1000 t | 2023 | — | flat |
| 105 | Morocco | 0 1000 t | 2023 | — | flat |
| 105 | Marshall Islands, Republic of the | 0 1000 t | 2023 | — | volatile |
| 105 | North Macedonia, Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Malta | 0 1000 t | 2023 | — | flat |
| 105 | Montenegro | 0 1000 t | 2023 | — | flat |
| 105 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Mauritania, Islamic Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Namibia | 0 1000 t | 2023 | — | flat |
| 105 | Romania | 0 1000 t | 2023 | — | flat |
| 105 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 105 | Serbia, Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Slovak Republic | 0 1000 t | 2023 | — | flat |
| 105 | Slovenia | 0 1000 t | 2023 | — | flat |
| 105 | Eswatini, Kingdom of | 0 1000 t | 2023 | — | flat |
| 105 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 105 | Tajikistan, Republic of | 0 1000 t | 2023 | — | flat |
| 105 | Tunisia | 0 1000 t | 2023 | — | flat |
| 105 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 105 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 105 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 105 | St. Vincent and the Grenadines | 0 1000 t | 2023 | down 100.0% | falling |
| 105 | Yemen, Republic of | 0 1000 t | 2023 | — | flat |
| 105 | China, Macao SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 162 | Costa Rica | -177 1000 t | 2023 | down 511.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 351,093 1000 t
- Africa 216,540 1000 t
- Net Food Importing Developing Countries (NFIDCs) 131,015 1000 t
- Low Income Food Deficit Countries (LIFDCs) 104,974 1000 t
- Asia 106,488 1000 t
- Americas 27,632 1000 t
- Land Locked Developing Countries (LLDCs) 26,330 1000 t
- Northern America 224 1000 t
- United States of America 199 1000 t
- European Union (27) 78 1000 t
- Western Europe 39 1000 t
- South America 25,532 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.