Pimento — 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
Pimento — Food is currently reported for 179 countries. The highest value is 1,886 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 27.45 1000 t.
Over the past decade 42 countries rose and 18 fell. The largest increase was in Kazakhstan (up 1,900.0%), and the largest decrease in Spain (down 100.0%).
Pimento — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 1,886 1000 t | 2023 | up 92.3% | rising |
| 2 | Bangladesh | 627 1000 t | 2023 | up 361.0% | volatile |
| 3 | Thailand | 400 1000 t | 2023 | up 41.8% | rising |
| 4 | Ethiopia | 250 1000 t | 2023 | up 61.3% | rising |
| 5 | China | 148 1000 t | 2023 | down 9.8% | rising |
| 6 | China, mainland | 143 1000 t | 2023 | down 10.6% | rising |
| 7 | Myanmar | 134 1000 t | 2023 | up 26.4% | rising |
| 8 | Côte d'Ivoire | 125 1000 t | 2023 | up 12.6% | rising |
| 9 | Viet Nam | 102 1000 t | 2023 | up 15.9% | rising |
| 10 | Ghana | 100 1000 t | 2023 | up 2.0% | rising |
| 11 | Pakistan | 93 1000 t | 2023 | down 24.4% | falling |
| 12 | Nepal | 82 1000 t | 2023 | up 156.2% | rising |
| 13 | Mexico | 64 1000 t | 2023 | down 1.5% | falling |
| 14 | Egypt | 61 1000 t | 2023 | up 3.4% | flat |
| 15 | Nigeria | 59 1000 t | 2023 | up 7.3% | rising |
| 16 | Malaysia | 52 1000 t | 2023 | up 10.6% | rising |
| 17 | Indonesia | 43 1000 t | 2023 | up 138.9% | rising |
| 18 | Cameroon | 38 1000 t | 2023 | up 26.7% | rising |
| 18 | Sri Lanka | 38 1000 t | 2023 | down 5.0% | rising |
| 20 | Democratic Republic of the Congo | 35 1000 t | 2023 | up 2.9% | rising |
| 21 | Niger | 32 1000 t | 2023 | up 190.9% | rising |
| 22 | Bosnia and Herzegovina | 24 1000 t | 2023 | down 11.1% | falling |
| 22 | Morocco | 24 1000 t | 2023 | unchanged | flat |
| 22 | Republic of Korea | 24 1000 t | 2023 | up 700.0% | volatile |
| 25 | Algeria | 21 1000 t | 2023 | up 10.5% | rising |
| 26 | Kazakhstan | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 27 | Caribbean | 19 1000 t | 2023 | up 26.7% | rising |
| 28 | Jamaica | 18 1000 t | 2023 | up 28.6% | rising |
| 29 | Türkiye | 16 1000 t | 2023 | up 6.7% | falling |
| 30 | Germany | 15 1000 t | 2023 | unchanged | rising |
| 31 | Tunisia | 13 1000 t | 2023 | up 333.3% | volatile |
| 31 | Lao People's Democratic Republic | 13 1000 t | 2023 | up 18.2% | rising |
| 33 | Cambodia | 12 1000 t | 2023 | up 9.1% | rising |
| 33 | United Kingdom of Great Britain and Northern Ireland | 12 1000 t | 2023 | up 33.3% | rising |
| 35 | United Arab Emirates | 9 1000 t | 2023 | unchanged | rising |
| 35 | Canada | 9 1000 t | 2023 | up 50.0% | rising |
| 35 | Russian Federation | 9 1000 t | 2023 | up 50.0% | rising |
| 38 | Democratic People's Republic of Korea | 7 1000 t | 2018 | — | falling |
| 39 | France | 6 1000 t | 2023 | up 100.0% | rising |
| 39 | Poland | 6 1000 t | 2023 | up 50.0% | rising |
| 39 | Australia and New Zealand | 6 1000 t | 2023 | up 50.0% | rising |
| 39 | United Republic of Tanzania | 6 1000 t | 2023 | down 14.3% | falling |
| 43 | Argentina | 5 1000 t | 2023 | up 25.0% | rising |
| 43 | Australia | 5 1000 t | 2023 | up 66.7% | rising |
| 43 | Saudi Arabia | 5 1000 t | 2023 | up 150.0% | volatile |
| 43 | Senegal | 5 1000 t | 2023 | up 25.0% | rising |
| 47 | North Macedonia | 4 1000 t | 2023 | down 20.0% | falling |
| 47 | Sierra Leone | 4 1000 t | 2023 | down 20.0% | falling |
| 47 | Serbia | 4 1000 t | 2023 | up 33.3% | rising |
| 47 | Iran (Islamic Republic of) | 4 1000 t | 2023 | unchanged | falling |
| 47 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | down 20.0% | rising |
| 52 | Austria | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Iraq | 3 1000 t | 2023 | — | volatile |
| 52 | Kenya | 3 1000 t | 2023 | unchanged | falling |
| 52 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | rising |
| 52 | Uganda | 3 1000 t | 2023 | unchanged | flat |
| 52 | China, Taiwan Province of | 3 1000 t | 2023 | unchanged | rising |
| 58 | Bulgaria | 2 1000 t | 2023 | down 33.3% | falling |
| 58 | Brazil | 2 1000 t | 2023 | — | volatile |
| 58 | Switzerland | 2 1000 t | 2023 | unchanged | rising |
| 58 | Czechia | 2 1000 t | 2023 | down 33.3% | falling |
| 58 | Hungary | 2 1000 t | 2023 | down 84.6% | volatile |
| 58 | Israel | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Italy | 2 1000 t | 2023 | unchanged | rising |
| 58 | Libya | 2 1000 t | 2023 | down 66.7% | rising |
| 58 | Madagascar | 2 1000 t | 2023 | up 100.0% | flat |
| 58 | Oman | 2 1000 t | 2023 | up 100.0% | rising |
| 58 | Qatar | 2 1000 t | 2023 | — | flat |
| 58 | Romania | 2 1000 t | 2023 | down 95.9% | volatile |
| 58 | Sweden | 2 1000 t | 2023 | unchanged | flat |
| 58 | Ukraine | 2 1000 t | 2023 | unchanged | flat |
| 58 | China, Hong Kong SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 73 | Albania | 1 1000 t | 2023 | — | volatile |
| 73 | Belgium | 1 1000 t | 2023 | unchanged | flat |
| 73 | Bahrain | 1 1000 t | 2023 | — | flat |
| 73 | Chile | 1 1000 t | 2023 | — | volatile |
| 73 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 73 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 73 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 73 | Estonia | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Finland | 1 1000 t | 2023 | — | volatile |
| 73 | Greece | 1 1000 t | 2023 | unchanged | flat |
| 73 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 73 | Croatia | 1 1000 t | 2023 | unchanged | flat |
| 73 | Ireland | 1 1000 t | 2023 | — | volatile |
| 73 | Kuwait | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Maldives | 1 1000 t | 2023 | — | volatile |
| 73 | Malawi | 1 1000 t | 2023 | unchanged | falling |
| 73 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 73 | Philippines | 1 1000 t | 2023 | — | volatile |
| 73 | Portugal | 1 1000 t | 2023 | unchanged | flat |
| 73 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 73 | Slovakia | 1 1000 t | 2023 | unchanged | falling |
| 73 | Slovenia | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Cabo Verde | 1 1000 t | 2023 | unchanged | flat |
| 73 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | falling |
| 73 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | — | volatile |
| 98 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 98 | Angola | 0 1000 t | 2023 | — | flat |
| 98 | Armenia | 0 1000 t | 2023 | — | flat |
| 98 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 98 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 98 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 98 | Bahamas | 0 1000 t | 2023 | — | flat |
| 98 | Belarus | 0 1000 t | 2023 | — | flat |
| 98 | Belize | 0 1000 t | 2023 | — | flat |
| 98 | Barbados | 0 1000 t | 2023 | — | flat |
| 98 | Bhutan | 0 1000 t | 2023 | — | flat |
| 98 | Botswana | 0 1000 t | 2023 | — | flat |
| 98 | Congo | 0 1000 t | 2023 | — | flat |
| 98 | Comoros | 0 1000 t | 2023 | — | flat |
| 98 | Cuba | 0 1000 t | 2019 | — | flat |
| 98 | Cyprus | 0 1000 t | 2023 | — | flat |
| 98 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 98 | Ecuador | 0 1000 t | 2023 | — | flat |
| 98 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Fiji | 0 1000 t | 2023 | — | flat |
| 98 | Gabon | 0 1000 t | 2023 | — | flat |
| 98 | Georgia | 0 1000 t | 2023 | — | flat |
| 98 | Guinea | 0 1000 t | 2023 | — | flat |
| 98 | Gambia | 0 1000 t | 2023 | — | flat |
| 98 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 98 | Grenada | 0 1000 t | 2023 | — | flat |
| 98 | Guyana | 0 1000 t | 2023 | — | flat |
| 98 | Honduras | 0 1000 t | 2023 | — | flat |
| 98 | Haiti | 0 1000 t | 2023 | — | flat |
| 98 | Iceland | 0 1000 t | 2023 | — | flat |
| 98 | Jordan | 0 1000 t | 2023 | — | flat |
| 98 | Kiribati | 0 1000 t | 2023 | — | flat |
| 98 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 98 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 98 | Liberia | 0 1000 t | 2023 | — | volatile |
| 98 | Saint Lucia | 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 | Marshall Islands | 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 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 98 | Mauritania | 0 1000 t | 2023 | — | flat |
| 98 | Mauritius | 0 1000 t | 2023 | — | flat |
| 98 | Namibia | 0 1000 t | 2023 | — | flat |
| 98 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 98 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 98 | Norway | 0 1000 t | 2023 | — | flat |
| 98 | Panama | 0 1000 t | 2023 | — | flat |
| 98 | Peru | 0 1000 t | 2023 | — | volatile |
| 98 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 98 | Paraguay | 0 1000 t | 2023 | — | flat |
| 98 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 98 | Rwanda | 0 1000 t | 2023 | — | flat |
| 98 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 98 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 98 | Suriname | 0 1000 t | 2023 | — | flat |
| 98 | Eswatini | 0 1000 t | 2023 | — | flat |
| 98 | Seychelles | 0 1000 t | 2023 | — | flat |
| 98 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 98 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 98 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 98 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 98 | Uruguay | 0 1000 t | 2023 | — | flat |
| 98 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 98 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 98 | Samoa | 0 1000 t | 2023 | — | flat |
| 98 | Yemen | 0 1000 t | 2023 | — | volatile |
| 98 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 98 | Micronesia | 0 1000 t | 2023 | — | flat |
| 98 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 98 | Melanesia | 0 1000 t | 2023 | — | flat |
| 98 | Polynesia | 0 1000 t | 2023 | — | flat |
| 98 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 98 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 98 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 98 | China, Macao SAR | 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 4,968 1000 t
- Asia 3,741 1000 t
- Southern Asia 2,730 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,610 1000 t
- Least Developed Countries (LDCs) 1,233 1000 t
- Africa 837 1000 t
- South-eastern Asia 758 1000 t
- Low Income Food Deficit Countries (LIFDCs) 493 1000 t
- Land Locked Developing Countries (LLDCs) 419 1000 t
- Western Africa 335 1000 t
- Americas 273 1000 t
- Eastern Africa 272 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.