Citrus, Other — 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
Citrus, Other — Food is currently reported for 132 countries. The highest value is 4,972 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 3 1000 t, and the mean is 127.77 1000 t.
Over the past decade 49 countries rose and 36 fell. The largest increase was in Kuwait (up 1,800.0%), and the largest decrease in Armenia (down 100.0%).
Citrus, Other — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 4,972 1000 t | 2023 | up 16.9% | rising |
| 2 | China, mainland | 4,950 1000 t | 2023 | up 17.6% | rising |
| 3 | Nigeria | 3,881 1000 t | 2023 | up 11.5% | rising |
| 4 | India | 658 1000 t | 2023 | down 15.6% | falling |
| 5 | Angola | 448 1000 t | 2023 | up 60.6% | rising |
| 6 | Guinea | 222 1000 t | 2023 | up 4.2% | flat |
| 7 | Iran (Islamic Republic of) | 179 1000 t | 2023 | up 4.1% | rising |
| 8 | Tunisia | 130 1000 t | 2023 | up 12.1% | rising |
| 9 | Mexico | 119 1000 t | 2023 | up 1,090.0% | volatile |
| 10 | Pakistan | 116 1000 t | 2023 | up 65.7% | rising |
| 11 | Sierra Leone | 105 1000 t | 2023 | up 11.7% | rising |
| 12 | Saudi Arabia | 100 1000 t | 2023 | up 49.3% | volatile |
| 13 | Philippines | 95 1000 t | 2023 | down 37.5% | falling |
| 14 | United States | 84 1000 t | 2023 | up 133.3% | volatile |
| 15 | Kenya | 81 1000 t | 2023 | down 5.8% | falling |
| 16 | Peru | 55 1000 t | 2023 | up 10.0% | rising |
| 17 | United Republic of Tanzania | 43 1000 t | 2023 | up 7.5% | rising |
| 18 | Spain | 39 1000 t | 2023 | up 56.0% | falling |
| 19 | Germany | 34 1000 t | 2023 | up 17.2% | rising |
| 20 | Afghanistan | 28 1000 t | 2023 | down 31.7% | volatile |
| 21 | United Kingdom | 24 1000 t | 2023 | up 33.3% | rising |
| 21 | United Kingdom of Great Britain and Northern Ireland | 24 1000 t | 2023 | up 33.3% | rising |
| 23 | Turkey | 22 1000 t | 2023 | up 266.7% | volatile |
| 23 | Türkiye | 22 1000 t | 2023 | up 266.7% | volatile |
| 23 | China, Taiwan Province of | 22 1000 t | 2023 | down 45.0% | falling |
| 26 | Kuwait | 19 1000 t | 2023 | up 1,800.0% | volatile |
| 27 | Ecuador | 18 1000 t | 2023 | down 5.3% | falling |
| 27 | Thailand | 18 1000 t | 2023 | up 260.0% | rising |
| 27 | Vietnam | 18 1000 t | 2023 | up 350.0% | volatile |
| 27 | Viet Nam | 18 1000 t | 2023 | up 350.0% | volatile |
| 31 | Poland | 14 1000 t | 2023 | up 40.0% | volatile |
| 31 | Netherlands (Kingdom of the) | 14 1000 t | 2023 | down 39.1% | falling |
| 33 | Italy | 13 1000 t | 2023 | up 85.7% | volatile |
| 33 | Australia and New Zealand | 13 1000 t | 2023 | unchanged | rising |
| 35 | New Zealand | 12 1000 t | 2023 | up 9.1% | rising |
| 35 | Caribbean | 12 1000 t | 2023 | up 20.0% | flat |
| 37 | Ireland | 11 1000 t | 2023 | up 10.0% | rising |
| 38 | Austria | 10 1000 t | 2023 | — | volatile |
| 38 | Belgium | 10 1000 t | 2023 | down 16.7% | falling |
| 38 | Israel | 10 1000 t | 2023 | up 233.3% | rising |
| 38 | Nepal | 10 1000 t | 2023 | down 37.5% | rising |
| 38 | Uzbekistan | 10 1000 t | 2023 | up 900.0% | volatile |
| 43 | Indonesia | 9 1000 t | 2023 | up 50.0% | rising |
| 44 | Hungary | 8 1000 t | 2023 | up 700.0% | volatile |
| 44 | Sweden | 8 1000 t | 2023 | up 33.3% | rising |
| 46 | Switzerland | 7 1000 t | 2023 | up 75.0% | rising |
| 46 | France | 7 1000 t | 2023 | unchanged | rising |
| 46 | Laos | 7 1000 t | 2023 | up 250.0% | volatile |
| 46 | Lao People's Democratic Republic | 7 1000 t | 2023 | up 250.0% | volatile |
| 50 | Lebanon | 6 1000 t | 2023 | up 20.0% | rising |
| 50 | Trinidad and Tobago | 6 1000 t | 2023 | unchanged | rising |
| 52 | United Arab Emirates | 5 1000 t | 2023 | unchanged | volatile |
| 52 | Czechia | 5 1000 t | 2023 | up 150.0% | rising |
| 52 | Denmark | 5 1000 t | 2023 | down 37.5% | falling |
| 52 | Guatemala | 5 1000 t | 2023 | unchanged | flat |
| 52 | Zambia | 5 1000 t | 2023 | — | volatile |
| 52 | Republic of Korea | 5 1000 t | 2023 | up 400.0% | volatile |
| 58 | Azerbaijan | 4 1000 t | 2023 | up 33.3% | rising |
| 58 | Cuba | 4 1000 t | 2019 | up 33.3% | rising |
| 58 | Egypt | 4 1000 t | 2023 | unchanged | falling |
| 58 | Morocco | 4 1000 t | 2023 | down 20.0% | rising |
| 58 | Portugal | 4 1000 t | 2023 | down 20.0% | falling |
| 63 | Cote d'Ivoire | 3 1000 t | 2023 | unchanged | flat |
| 63 | Ethiopia | 3 1000 t | 2023 | down 25.0% | falling |
| 63 | Greece | 3 1000 t | 2023 | — | volatile |
| 63 | Malawi | 3 1000 t | 2023 | down 57.1% | falling |
| 63 | Suriname | 3 1000 t | 2023 | up 50.0% | rising |
| 63 | Côte d'Ivoire | 3 1000 t | 2023 | unchanged | flat |
| 69 | Bangladesh | 2 1000 t | 2023 | down 71.4% | volatile |
| 69 | Brazil | 2 1000 t | 2023 | down 77.8% | volatile |
| 69 | Botswana | 2 1000 t | 2023 | — | volatile |
| 69 | Canada | 2 1000 t | 2023 | up 100.0% | falling |
| 69 | Gabon | 2 1000 t | 2023 | up 100.0% | rising |
| 69 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | rising |
| 69 | Norway | 2 1000 t | 2023 | up 100.0% | rising |
| 69 | Oman | 2 1000 t | 2023 | down 50.0% | volatile |
| 69 | Russia | 2 1000 t | 2023 | down 66.7% | falling |
| 69 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 69 | Zimbabwe | 2 1000 t | 2023 | up 100.0% | rising |
| 69 | Russian Federation | 2 1000 t | 2023 | down 66.7% | falling |
| 81 | Argentina | 1 1000 t | 2023 | unchanged | rising |
| 81 | Australia | 1 1000 t | 2023 | down 50.0% | falling |
| 81 | Bulgaria | 1 1000 t | 2023 | down 80.0% | volatile |
| 81 | Algeria | 1 1000 t | 2023 | down 66.7% | volatile |
| 81 | Finland | 1 1000 t | 2023 | down 50.0% | falling |
| 81 | Georgia | 1 1000 t | 2023 | — | volatile |
| 81 | Grenada | 1 1000 t | 2023 | unchanged | flat |
| 81 | Guyana | 1 1000 t | 2023 | unchanged | flat |
| 81 | Honduras | 1 1000 t | 2023 | unchanged | rising |
| 81 | Iraq | 1 1000 t | 2023 | down 66.7% | volatile |
| 81 | Sri Lanka | 1 1000 t | 2023 | unchanged | falling |
| 81 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 81 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 81 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 81 | Namibia | 1 1000 t | 2023 | — | volatile |
| 81 | Nicaragua | 1 1000 t | 2023 | unchanged | rising |
| 81 | Qatar | 1 1000 t | 2023 | — | flat |
| 81 | Romania | 1 1000 t | 2023 | unchanged | volatile |
| 81 | Slovakia | 1 1000 t | 2023 | unchanged | rising |
| 81 | Slovenia | 1 1000 t | 2023 | down 50.0% | volatile |
| 81 | Eswatini | 1 1000 t | 2023 | unchanged | rising |
| 81 | Uganda | 1 1000 t | 2023 | — | volatile |
| 81 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 81 | Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 81 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 106 | Albania | 0 1000 t | 2023 | — | volatile |
| 106 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 106 | Chile | 0 1000 t | 2023 | — | volatile |
| 106 | Colombia | 0 1000 t | 2023 | down 100.0% | falling |
| 106 | Cyprus | 0 1000 t | 2023 | down 100.0% | falling |
| 106 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Libya | 0 1000 t | 2023 | — | volatile |
| 106 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 106 | Maldives | 0 1000 t | 2021 | — | volatile |
| 106 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 106 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 106 | Syria | 0 1000 t | 2023 | — | volatile |
| 106 | East Timor | 0 1000 t | 2023 | — | volatile |
| 106 | Samoa | 0 1000 t | 2023 | — | volatile |
| 106 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 106 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 106 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 106 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 106 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 106 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 11,861 1000 t
- Asia 6,368 1000 t
- Eastern Asia 5,043 1000 t
- Africa 4,947 1000 t
- Western Africa 4,212 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,296 1000 t
- Southern Asia 993 1000 t
- Least Developed Countries (LDCs) 880 1000 t
- Low Income Food Deficit Countries (LIFDCs) 513 1000 t
- Middle Africa 451 1000 t
- Americas 305 1000 t
- Europe 227 1000 t
- European Union (27) 189 1000 t
- Western Asia 174 1000 t
- South-Eastern Asia 146 1000 t
- Eastern Africa 140 1000 t
- Northern Africa 140 1000 t
- Central America 127 1000 t
- Northern America 86 1000 t
- United States of America 84 1000 t
- South America 81 1000 t
- Western Europe 81 1000 t
- Land Locked Developing Countries (LLDCs) 80 1000 t
- Southern Europe 61 1000 t
- Northern Europe 52 1000 t
- Eastern Europe 33 1000 t
- Small island developing States (SIDS) 17 1000 t
- Oceania 14 1000 t
- Central Asia 12 1000 t
- Southern Africa 4 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.