Citrus, Other — Import 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
Citrus, Other — Import quantity is currently reported for 108 countries. The highest value is 65 1000 t in United States; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 4.45 1000 t.
Over the past decade 23 countries rose and 30 fell. The largest increase was in Austria (up 666.7%), and the largest decrease in Armenia (down 100.0%).
Citrus, Other — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 65 1000 t | 2023 | up 91.2% | rising |
| 1 | Netherlands (Kingdom of the) | 65 1000 t | 2023 | up 35.4% | rising |
| 3 | Germany | 48 1000 t | 2023 | up 37.1% | rising |
| 4 | United Kingdom | 29 1000 t | 2023 | up 52.6% | rising |
| 4 | United Kingdom of Great Britain and Northern Ireland | 29 1000 t | 2023 | up 52.6% | rising |
| 6 | Austria | 23 1000 t | 2023 | up 666.7% | volatile |
| 7 | Ireland | 21 1000 t | 2023 | up 61.5% | rising |
| 8 | Spain | 16 1000 t | 2023 | up 166.7% | volatile |
| 9 | Poland | 15 1000 t | 2023 | up 25.0% | volatile |
| 10 | Afghanistan | 9 1000 t | 2023 | down 77.5% | volatile |
| 10 | United Arab Emirates | 9 1000 t | 2023 | up 350.0% | volatile |
| 10 | Belgium | 9 1000 t | 2023 | up 28.6% | rising |
| 10 | France | 9 1000 t | 2023 | unchanged | rising |
| 14 | Hungary | 8 1000 t | 2023 | — | volatile |
| 14 | Sweden | 8 1000 t | 2023 | up 33.3% | rising |
| 16 | Laos | 7 1000 t | 2023 | up 250.0% | volatile |
| 16 | Republic of Korea | 7 1000 t | 2023 | — | volatile |
| 16 | Lao People's Democratic Republic | 7 1000 t | 2023 | up 250.0% | volatile |
| 19 | Czechia | 6 1000 t | 2023 | up 200.0% | rising |
| 20 | Switzerland | 5 1000 t | 2023 | unchanged | rising |
| 20 | Italy | 5 1000 t | 2023 | down 44.4% | rising |
| 20 | New Zealand | 5 1000 t | 2023 | up 150.0% | rising |
| 20 | Zambia | 5 1000 t | 2023 | — | volatile |
| 20 | Australia and New Zealand | 5 1000 t | 2023 | up 66.7% | rising |
| 25 | Denmark | 4 1000 t | 2023 | down 20.0% | falling |
| 25 | Iran (Islamic Republic of) | 4 1000 t | 2023 | up 300.0% | volatile |
| 27 | China | 3 1000 t | 2023 | unchanged | rising |
| 27 | Oman | 3 1000 t | 2023 | down 40.0% | volatile |
| 27 | Portugal | 3 1000 t | 2023 | down 40.0% | falling |
| 27 | Russia | 3 1000 t | 2023 | down 50.0% | falling |
| 27 | Turkey | 3 1000 t | 2023 | up 50.0% | rising |
| 27 | Russian Federation | 3 1000 t | 2023 | down 50.0% | falling |
| 27 | Türkiye | 3 1000 t | 2023 | up 50.0% | rising |
| 34 | Bangladesh | 2 1000 t | 2023 | down 71.4% | volatile |
| 34 | Botswana | 2 1000 t | 2023 | — | volatile |
| 34 | Canada | 2 1000 t | 2023 | unchanged | volatile |
| 34 | Lithuania | 2 1000 t | 2023 | — | volatile |
| 34 | Norway | 2 1000 t | 2023 | up 100.0% | rising |
| 34 | Slovenia | 2 1000 t | 2023 | unchanged | rising |
| 34 | Thailand | 2 1000 t | 2023 | up 100.0% | rising |
| 34 | Caribbean | 2 1000 t | 2023 | unchanged | volatile |
| 34 | China, Taiwan Province of | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Angola | 1 1000 t | 2023 | — | volatile |
| 43 | Cuba | 1 1000 t | 2019 | unchanged | volatile |
| 43 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 43 | Finland | 1 1000 t | 2023 | unchanged | volatile |
| 43 | Gabon | 1 1000 t | 2023 | — | volatile |
| 43 | Greece | 1 1000 t | 2023 | — | volatile |
| 43 | Iraq | 1 1000 t | 2023 | down 66.7% | volatile |
| 43 | Kazakhstan | 1 1000 t | 2023 | unchanged | volatile |
| 43 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 43 | Malaysia | 1 1000 t | 2023 | down 50.0% | volatile |
| 43 | Namibia | 1 1000 t | 2023 | — | volatile |
| 43 | Romania | 1 1000 t | 2023 | unchanged | volatile |
| 43 | Saudi Arabia | 1 1000 t | 2023 | down 90.9% | volatile |
| 43 | Slovakia | 1 1000 t | 2023 | unchanged | rising |
| 43 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 43 | Tunisia | 1 1000 t | 2023 | — | volatile |
| 43 | Uganda | 1 1000 t | 2023 | unchanged | volatile |
| 43 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 43 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 62 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 62 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Chile | 0 1000 t | 2023 | — | volatile |
| 62 | Colombia | 0 1000 t | 2023 | down 100.0% | falling |
| 62 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Ghana | 0 1000 t | 2023 | — | volatile |
| 62 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 62 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 62 | India | 0 1000 t | 2023 | — | volatile |
| 62 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Kenya | 0 1000 t | 2023 | — | volatile |
| 62 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Libya | 0 1000 t | 2023 | — | volatile |
| 62 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 62 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Maldives | 0 1000 t | 2021 | — | volatile |
| 62 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 62 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 62 | Panama | 0 1000 t | 2023 | — | volatile |
| 62 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 62 | Qatar | 0 1000 t | 2023 | — | volatile |
| 62 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 62 | Serbia | 0 1000 t | 2023 | — | volatile |
| 62 | East Timor | 0 1000 t | 2023 | — | volatile |
| 62 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 62 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 62 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 62 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 62 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 62 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 62 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 62 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 62 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 62 | 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 463 1000 t
- Europe 289 1000 t
- European Union (27) 249 1000 t
- Western Europe 159 1000 t
- Asia 81 1000 t
- Americas 70 1000 t
- Northern America 67 1000 t
- Northern Europe 67 1000 t
- United States of America 65 1000 t
- Net Food Importing Developing Countries (NFIDCs) 38 1000 t
- Eastern Europe 35 1000 t
- Eastern Asia 35 1000 t
- Least Developed Countries (LDCs) 30 1000 t
- Land Locked Developing Countries (LLDCs) 29 1000 t
- Southern Europe 28 1000 t
- Africa 18 1000 t
- Western Asia 18 1000 t
- Southern Asia 16 1000 t
- Low Income Food Deficit Countries (LIFDCs) 15 1000 t
- South-Eastern Asia 11 1000 t
- Eastern Africa 9 1000 t
- Oceania 5 1000 t
- Southern Africa 4 1000 t
- Small island developing States (SIDS) 3 1000 t
- Middle Africa 2 1000 t
- Central Asia 1 1000 t
- Northern Africa 1 1000 t
- Western Africa 1 1000 t
- Central America 1 1000 t
- South America 0 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.