Citrus, 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...
Countries reporting
181
Highest
5,625 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,864
What the numbers show
Citrus, Other — Domestic supply quantity is currently reported for 181 countries. The highest value is 5,625 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 106.37 1000 t.
Over the past decade 45 countries rose and 32 fell. The largest increase was in Uzbekistan (up 1,000.0%), and the largest decrease in Armenia (down 100.0%).
Citrus, Other — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5,625 1000 t | 2023 | up 17.4% | rising |
| 2 | China, mainland | 5,556 1000 t | 2023 | up 17.5% | rising |
| 3 | Nigeria | 4,229 1000 t | 2023 | up 11.3% | rising |
| 4 | India | 717 1000 t | 2023 | down 15.7% | falling |
| 5 | Iran (Islamic Republic of) | 619 1000 t | 2023 | up 7.5% | rising |
| 6 | Angola | 489 1000 t | 2023 | up 60.9% | rising |
| 7 | Guinea | 242 1000 t | 2023 | up 3.9% | flat |
| 7 | Mexico | 242 1000 t | 2023 | up 284.1% | volatile |
| 9 | Tunisia | 142 1000 t | 2023 | up 12.7% | rising |
| 10 | Saudi Arabia | 119 1000 t | 2023 | up 17.8% | volatile |
| 11 | Pakistan | 116 1000 t | 2023 | up 286.7% | volatile |
| 12 | Sierra Leone | 114 1000 t | 2023 | up 10.7% | rising |
| 13 | Philippines | 103 1000 t | 2023 | down 38.0% | falling |
| 14 | Kenya | 89 1000 t | 2023 | down 5.3% | falling |
| 15 | China, Taiwan Province of | 69 1000 t | 2023 | up 15.0% | flat |
| 16 | Guatemala | 67 1000 t | 2023 | down 5.6% | falling |
| 16 | Peru | 67 1000 t | 2023 | up 9.8% | rising |
| 18 | United Republic of Tanzania | 47 1000 t | 2023 | up 6.8% | rising |
| 19 | Côte d'Ivoire | 46 1000 t | 2023 | up 15.0% | rising |
| 20 | Thailand | 39 1000 t | 2023 | up 290.0% | rising |
| 21 | Spain | 38 1000 t | 2023 | up 52.0% | falling |
| 22 | Germany | 34 1000 t | 2023 | up 17.2% | rising |
| 23 | Afghanistan | 28 1000 t | 2023 | down 31.7% | volatile |
| 24 | United Kingdom of Great Britain and Northern Ireland | 24 1000 t | 2023 | up 33.3% | rising |
| 25 | Türkiye | 23 1000 t | 2023 | up 283.3% | volatile |
| 26 | Kuwait | 19 1000 t | 2023 | up 290.0% | volatile |
| 27 | Ecuador | 18 1000 t | 2023 | down 10.0% | falling |
| 27 | Morocco | 18 1000 t | 2023 | up 5.9% | rising |
| 27 | Viet Nam | 18 1000 t | 2023 | up 350.0% | volatile |
| 30 | Italy | 15 1000 t | 2023 | down 21.1% | falling |
| 31 | Poland | 14 1000 t | 2023 | up 27.3% | volatile |
| 31 | Australia and New Zealand | 14 1000 t | 2023 | unchanged | rising |
| 33 | New Zealand | 13 1000 t | 2023 | up 8.3% | rising |
| 35 | Ireland | 11 1000 t | 2023 | up 10.0% | rising |
| 35 | Israel | 11 1000 t | 2023 | up 266.7% | rising |
| 35 | Nepal | 11 1000 t | 2023 | down 35.3% | rising |
| 35 | Uzbekistan | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 39 | United Arab Emirates | 10 1000 t | 2023 | up 11.1% | rising |
| 39 | Austria | 10 1000 t | 2023 | — | volatile |
| 39 | Belgium | 10 1000 t | 2023 | down 9.1% | falling |
| 42 | Netherlands (Kingdom of the) | 9 1000 t | 2023 | down 50.0% | volatile |
| 43 | Hungary | 8 1000 t | 2023 | up 700.0% | volatile |
| 43 | Indonesia | 8 1000 t | 2023 | up 33.3% | rising |
| 43 | 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 | down 12.5% | rising |
| 46 | Lao People's Democratic Republic | 7 1000 t | 2023 | up 250.0% | volatile |
| 49 | Lebanon | 6 1000 t | 2023 | up 50.0% | volatile |
| 49 | Trinidad and Tobago | 6 1000 t | 2023 | unchanged | rising |
| 51 | Czechia | 5 1000 t | 2023 | up 150.0% | rising |
| 51 | Denmark | 5 1000 t | 2023 | down 37.5% | falling |
| 51 | Egypt | 5 1000 t | 2023 | unchanged | flat |
| 51 | Zambia | 5 1000 t | 2023 | — | volatile |
| 51 | Republic of Korea | 5 1000 t | 2023 | up 400.0% | volatile |
| 56 | Azerbaijan | 4 1000 t | 2023 | unchanged | flat |
| 56 | Cuba | 4 1000 t | 2019 | unchanged | rising |
| 56 | Greece | 4 1000 t | 2023 | up 300.0% | volatile |
| 56 | Portugal | 4 1000 t | 2023 | down 20.0% | falling |
| 60 | Ethiopia | 3 1000 t | 2023 | down 25.0% | falling |
| 60 | Malawi | 3 1000 t | 2023 | down 57.1% | falling |
| 60 | Suriname | 3 1000 t | 2023 | up 50.0% | rising |
| 63 | Bangladesh | 2 1000 t | 2023 | down 71.4% | volatile |
| 63 | Brazil | 2 1000 t | 2023 | down 77.8% | volatile |
| 63 | Botswana | 2 1000 t | 2023 | — | volatile |
| 63 | Canada | 2 1000 t | 2023 | — | volatile |
| 63 | Gabon | 2 1000 t | 2023 | unchanged | rising |
| 63 | Honduras | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Norway | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Oman | 2 1000 t | 2023 | down 50.0% | volatile |
| 63 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Zimbabwe | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Russian Federation | 2 1000 t | 2023 | down 66.7% | falling |
| 75 | Argentina | 1 1000 t | 2023 | unchanged | rising |
| 75 | Australia | 1 1000 t | 2023 | down 66.7% | falling |
| 75 | Bulgaria | 1 1000 t | 2023 | down 80.0% | volatile |
| 75 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 75 | Algeria | 1 1000 t | 2023 | down 66.7% | volatile |
| 75 | Finland | 1 1000 t | 2023 | down 50.0% | falling |
| 75 | Georgia | 1 1000 t | 2023 | — | volatile |
| 75 | Grenada | 1 1000 t | 2023 | unchanged | flat |
| 75 | Guyana | 1 1000 t | 2023 | unchanged | flat |
| 75 | Iraq | 1 1000 t | 2023 | — | volatile |
| 75 | Jordan | 1 1000 t | 2023 | unchanged | rising |
| 75 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 75 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 75 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 75 | Namibia | 1 1000 t | 2023 | — | volatile |
| 75 | Nicaragua | 1 1000 t | 2023 | unchanged | rising |
| 75 | Qatar | 1 1000 t | 2023 | — | flat |
| 75 | Romania | 1 1000 t | 2023 | unchanged | volatile |
| 75 | Slovakia | 1 1000 t | 2023 | unchanged | rising |
| 75 | Slovenia | 1 1000 t | 2023 | down 50.0% | volatile |
| 75 | Eswatini | 1 1000 t | 2023 | unchanged | rising |
| 75 | Uganda | 1 1000 t | 2023 | — | volatile |
| 75 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 75 | Samoa | 1 1000 t | 2023 | unchanged | flat |
| 75 | Polynesia | 1 1000 t | 2023 | unchanged | rising |
| 75 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 101 | Albania | 0 1000 t | 2023 | — | volatile |
| 101 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 101 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 101 | Bahrain | 0 1000 t | 2023 | — | flat |
| 101 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 101 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 101 | Belarus | 0 1000 t | 2023 | — | flat |
| 101 | Belize | 0 1000 t | 2023 | — | flat |
| 101 | Barbados | 0 1000 t | 2023 | — | flat |
| 101 | Bhutan | 0 1000 t | 2023 | — | flat |
| 101 | Chile | 0 1000 t | 2023 | — | volatile |
| 101 | Cameroon | 0 1000 t | 2023 | — | flat |
| 101 | Congo | 0 1000 t | 2023 | — | flat |
| 101 | Colombia | 0 1000 t | 2023 | down 100.0% | falling |
| 101 | Comoros | 0 1000 t | 2023 | — | flat |
| 101 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 101 | Djibouti | 0 1000 t | 2023 | — | flat |
| 101 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 101 | Estonia | 0 1000 t | 2023 | — | flat |
| 101 | Fiji | 0 1000 t | 2023 | — | flat |
| 101 | Ghana | 0 1000 t | 2023 | — | flat |
| 101 | Gambia | 0 1000 t | 2023 | — | flat |
| 101 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 101 | Croatia | 0 1000 t | 2023 | — | flat |
| 101 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Iceland | 0 1000 t | 2023 | — | flat |
| 101 | Jamaica | 0 1000 t | 2023 | — | flat |
| 101 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 101 | Cambodia | 0 1000 t | 2023 | — | flat |
| 101 | Kiribati | 0 1000 t | 2021 | — | flat |
| 101 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 101 | Liberia | 0 1000 t | 2023 | — | flat |
| 101 | Libya | 0 1000 t | 2023 | — | volatile |
| 101 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 101 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 101 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 101 | Lithuania | 0 1000 t | 2023 | — | flat |
| 101 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 101 | Madagascar | 0 1000 t | 2023 | — | flat |
| 101 | Maldives | 0 1000 t | 2021 | — | volatile |
| 101 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 101 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 101 | Malta | 0 1000 t | 2023 | — | volatile |
| 101 | Myanmar | 0 1000 t | 2023 | — | flat |
| 101 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 101 | Mongolia | 0 1000 t | 2023 | — | flat |
| 101 | Mozambique | 0 1000 t | 2023 | — | flat |
| 101 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 101 | Niger | 0 1000 t | 2023 | — | flat |
| 101 | Nauru | 0 1000 t | 2023 | — | flat |
| 101 | Panama | 0 1000 t | 2023 | — | flat |
| 101 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 101 | Paraguay | 0 1000 t | 2023 | — | flat |
| 101 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Rwanda | 0 1000 t | 2023 | — | flat |
| 101 | Senegal | 0 1000 t | 2023 | — | flat |
| 101 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 101 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 101 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 101 | Seychelles | 0 1000 t | 2023 | — | flat |
| 101 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 101 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 101 | Tonga | 0 1000 t | 2023 | — | flat |
| 101 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 101 | Uruguay | 0 1000 t | 2023 | — | flat |
| 101 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 101 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 101 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Micronesia | 0 1000 t | 2023 | — | flat |
| 101 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 101 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 101 | Melanesia | 0 1000 t | 2023 | — | flat |
| 101 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 101 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 101 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 101 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 101 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 101 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 101 | 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 13,777 1000 t
- Asia 7,584 1000 t
- Eastern Asia 5,704 1000 t
- Africa 5,447 1000 t
- Western Africa 4,632 1000 t
- Southern Asia 1,493 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,459 1000 t
- Least Developed Countries (LDCs) 955 1000 t
- Low Income Food Deficit Countries (LIFDCs) 556 1000 t
- Americas 505 1000 t
- Middle Africa 492 1000 t
- Central America 311 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.