Citrus, Other — Production 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 — Production is currently reported for 88 countries. The highest value is 5,625 1000 t in China; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 7 1000 t, and the mean is 222.36 1000 t.
Over the past decade 40 countries rose and 16 fell. The largest increase was in Greece (up 1,100.0%), and the largest decrease in Colombia (down 100.0%).
Citrus, Other — Production: 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 | 721 1000 t | 2023 | down 16.2% | falling |
| 5 | Iran (Islamic Republic of) | 633 1000 t | 2023 | up 9.0% | rising |
| 6 | Angola | 488 1000 t | 2023 | up 60.5% | rising |
| 7 | Mexico | 352 1000 t | 2023 | up 131.6% | rising |
| 8 | Guinea | 242 1000 t | 2023 | up 3.9% | flat |
| 9 | Spain | 159 1000 t | 2023 | up 33.6% | rising |
| 10 | Tunisia | 142 1000 t | 2023 | up 12.7% | rising |
| 11 | Pakistan | 125 1000 t | 2023 | up 78.6% | rising |
| 12 | Saudi Arabia | 122 1000 t | 2023 | up 23.2% | volatile |
| 13 | Sierra Leone | 114 1000 t | 2023 | up 10.7% | rising |
| 14 | Philippines | 107 1000 t | 2023 | down 35.2% | falling |
| 15 | Kenya | 89 1000 t | 2023 | down 6.3% | falling |
| 16 | China, Taiwan Province of | 68 1000 t | 2023 | up 11.5% | flat |
| 17 | Guatemala | 67 1000 t | 2023 | down 5.6% | falling |
| 17 | Peru | 67 1000 t | 2023 | up 9.8% | rising |
| 19 | United States | 65 1000 t | 2023 | up 62.5% | rising |
| 20 | Thailand | 52 1000 t | 2023 | up 333.3% | rising |
| 21 | United Republic of Tanzania | 48 1000 t | 2023 | up 9.1% | rising |
| 22 | Cote d'Ivoire | 45 1000 t | 2023 | up 12.5% | rising |
| 22 | Côte d'Ivoire | 45 1000 t | 2023 | up 12.5% | rising |
| 24 | Italy | 28 1000 t | 2023 | down 33.3% | falling |
| 25 | Turkey | 26 1000 t | 2023 | up 271.4% | rising |
| 25 | Türkiye | 26 1000 t | 2023 | up 271.4% | rising |
| 27 | Vietnam | 24 1000 t | 2023 | up 500.0% | volatile |
| 27 | Viet Nam | 24 1000 t | 2023 | up 500.0% | volatile |
| 29 | Brazil | 21 1000 t | 2023 | up 50.0% | rising |
| 30 | Kuwait | 20 1000 t | 2023 | down 16.7% | rising |
| 31 | Afghanistan | 19 1000 t | 2023 | up 533.3% | volatile |
| 31 | Ecuador | 19 1000 t | 2023 | down 9.5% | falling |
| 33 | Morocco | 18 1000 t | 2023 | up 5.9% | rising |
| 34 | Greece | 12 1000 t | 2023 | up 1,100.0% | volatile |
| 34 | Israel | 12 1000 t | 2023 | up 71.4% | rising |
| 34 | South Africa | 12 1000 t | 2023 | up 9.1% | rising |
| 37 | Uzbekistan | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 38 | United Arab Emirates | 10 1000 t | 2023 | down 9.1% | rising |
| 38 | Indonesia | 10 1000 t | 2023 | up 66.7% | rising |
| 38 | Nepal | 10 1000 t | 2023 | up 66.7% | volatile |
| 38 | Caribbean | 10 1000 t | 2023 | unchanged | rising |
| 38 | Australia and New Zealand | 10 1000 t | 2023 | unchanged | flat |
| 43 | New Zealand | 9 1000 t | 2023 | up 12.5% | rising |
| 44 | Lebanon | 7 1000 t | 2023 | up 16.7% | rising |
| 44 | Trinidad and Tobago | 7 1000 t | 2023 | up 16.7% | rising |
| 46 | Egypt | 6 1000 t | 2023 | up 20.0% | rising |
| 47 | Azerbaijan | 4 1000 t | 2023 | unchanged | flat |
| 47 | Switzerland | 4 1000 t | 2023 | up 100.0% | rising |
| 47 | Denmark | 4 1000 t | 2023 | down 42.9% | falling |
| 50 | Ethiopia | 3 1000 t | 2023 | down 25.0% | falling |
| 50 | Malawi | 3 1000 t | 2023 | unchanged | flat |
| 50 | Suriname | 3 1000 t | 2023 | up 50.0% | rising |
| 50 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | up 50.0% | rising |
| 54 | Belgium | 2 1000 t | 2023 | down 60.0% | falling |
| 54 | Cuba | 2 1000 t | 2019 | down 33.3% | falling |
| 54 | Georgia | 2 1000 t | 2023 | — | volatile |
| 54 | Honduras | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Zimbabwe | 2 1000 t | 2023 | unchanged | rising |
| 59 | Argentina | 1 1000 t | 2023 | unchanged | rising |
| 59 | Australia | 1 1000 t | 2023 | down 50.0% | falling |
| 59 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 59 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 59 | Algeria | 1 1000 t | 2023 | unchanged | rising |
| 59 | Gabon | 1 1000 t | 2023 | unchanged | flat |
| 59 | United Kingdom | 1 1000 t | 2023 | unchanged | flat |
| 59 | Grenada | 1 1000 t | 2023 | unchanged | flat |
| 59 | Guyana | 1 1000 t | 2023 | unchanged | flat |
| 59 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 59 | Kazakhstan | 1 1000 t | 2023 | unchanged | rising |
| 59 | Sri Lanka | 1 1000 t | 2023 | unchanged | flat |
| 59 | Latvia | 1 1000 t | 2023 | unchanged | flat |
| 59 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 59 | Nicaragua | 1 1000 t | 2023 | unchanged | flat |
| 59 | Portugal | 1 1000 t | 2023 | — | volatile |
| 59 | Qatar | 1 1000 t | 2023 | — | volatile |
| 59 | Serbia | 1 1000 t | 2023 | unchanged | flat |
| 59 | Samoa | 1 1000 t | 2023 | unchanged | flat |
| 59 | Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 59 | Republic of Korea | 1 1000 t | 2023 | unchanged | flat |
| 59 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | unchanged | flat |
| 81 | Albania | 0 1000 t | 2023 | — | volatile |
| 81 | Colombia | 0 1000 t | 2023 | down 100.0% | falling |
| 81 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Jordan | 0 1000 t | 2023 | — | volatile |
| 81 | Malta | 0 1000 t | 2023 | — | volatile |
| 81 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 81 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Netherlands (Kingdom of the) | 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 13,879 1000 t
- Asia 7,596 1000 t
- Eastern Asia 5,677 1000 t
- Africa 5,445 1000 t
- Western Africa 4,631 1000 t
- Southern Asia 1,509 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,436 1000 t
- Least Developed Countries (LDCs) 927 1000 t
- Americas 611 1000 t
- Low Income Food Deficit Countries (LIFDCs) 543 1000 t
- Middle Africa 490 1000 t
- Central America 421 1000 t
- Europe 216 1000 t
- European Union (27) 210 1000 t
- Western Asia 205 1000 t
- Southern Europe 202 1000 t
- South-Eastern Asia 193 1000 t
- Northern Africa 167 1000 t
- Eastern Africa 145 1000 t
- South America 115 1000 t
- Northern America 65 1000 t
- United States of America 65 1000 t
- Land Locked Developing Countries (LLDCs) 57 1000 t
- Small island developing States (SIDS) 16 1000 t
- Central Asia 12 1000 t
- Southern Africa 12 1000 t
- Oceania 10 1000 t
- Western Europe 6 1000 t
- Northern Europe 6 1000 t
- Eastern Europe 2 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.