Grapefruit and products — 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
Grapefruit and products — Import quantity is currently reported for 127 countries. The highest value is 279 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 2 1000 t, and the mean is 14.7 1000 t.
Over the past decade 19 countries rose and 57 fell. The largest increase was in Cambodia (up 1,100.0%), and the largest decrease in Afghanistan (down 100.0%).
Grapefruit and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 279 1000 t | 2023 | down 18.9% | falling |
| 2 | United States | 173 1000 t | 2023 | up 652.2% | volatile |
| 3 | China | 160 1000 t | 2023 | up 142.4% | rising |
| 4 | China, mainland | 134 1000 t | 2023 | up 346.7% | volatile |
| 5 | Russia | 124 1000 t | 2023 | down 35.8% | falling |
| 5 | Russian Federation | 124 1000 t | 2023 | down 35.8% | falling |
| 7 | France | 100 1000 t | 2023 | down 44.1% | falling |
| 8 | Germany | 96 1000 t | 2023 | down 30.9% | falling |
| 9 | Poland | 50 1000 t | 2023 | down 40.5% | falling |
| 10 | Canada | 44 1000 t | 2023 | down 31.2% | falling |
| 11 | Italy | 39 1000 t | 2023 | down 36.1% | falling |
| 12 | United Kingdom | 37 1000 t | 2023 | down 85.3% | volatile |
| 12 | United Kingdom of Great Britain and Northern Ireland | 37 1000 t | 2023 | down 85.3% | volatile |
| 14 | Spain | 36 1000 t | 2023 | up 71.4% | flat |
| 15 | Romania | 28 1000 t | 2023 | up 3.7% | rising |
| 16 | Republic of Korea | 27 1000 t | 2023 | up 12.5% | rising |
| 17 | Belgium | 22 1000 t | 2023 | down 58.5% | falling |
| 18 | Ukraine | 21 1000 t | 2023 | down 46.2% | falling |
| 19 | Saudi Arabia | 20 1000 t | 2023 | down 64.9% | falling |
| 20 | China, Hong Kong SAR | 17 1000 t | 2023 | down 32.0% | rising |
| 21 | United Arab Emirates | 13 1000 t | 2023 | down 40.9% | rising |
| 21 | Bulgaria | 13 1000 t | 2023 | up 18.2% | rising |
| 21 | Kazakhstan | 13 1000 t | 2023 | up 160.0% | volatile |
| 24 | Switzerland | 12 1000 t | 2023 | down 29.4% | falling |
| 24 | Czechia | 12 1000 t | 2023 | down 33.3% | falling |
| 24 | Cambodia | 12 1000 t | 2023 | up 1,100.0% | volatile |
| 27 | Austria | 9 1000 t | 2023 | down 57.1% | falling |
| 27 | Caribbean | 9 1000 t | 2023 | up 80.0% | volatile |
| 29 | Laos | 8 1000 t | 2023 | — | volatile |
| 29 | Slovakia | 8 1000 t | 2023 | up 14.3% | falling |
| 29 | South Africa | 8 1000 t | 2023 | up 300.0% | volatile |
| 29 | Lao People's Democratic Republic | 8 1000 t | 2023 | — | volatile |
| 29 | China, Taiwan Province of | 8 1000 t | 2023 | down 20.0% | falling |
| 34 | Belarus | 7 1000 t | 2023 | down 53.3% | falling |
| 34 | Denmark | 7 1000 t | 2023 | down 36.4% | falling |
| 34 | Ireland | 7 1000 t | 2023 | down 12.5% | falling |
| 34 | Portugal | 7 1000 t | 2023 | up 40.0% | rising |
| 38 | Argentina | 6 1000 t | 2023 | down 33.3% | volatile |
| 38 | Bahamas | 6 1000 t | 2023 | up 200.0% | volatile |
| 38 | Lithuania | 6 1000 t | 2023 | down 60.0% | falling |
| 41 | Hungary | 5 1000 t | 2023 | down 37.5% | falling |
| 41 | Iraq | 5 1000 t | 2023 | unchanged | rising |
| 41 | Mexico | 5 1000 t | 2023 | unchanged | volatile |
| 41 | Sweden | 5 1000 t | 2023 | down 68.8% | falling |
| 45 | Greece | 4 1000 t | 2023 | down 33.3% | falling |
| 45 | Latvia | 4 1000 t | 2023 | down 20.0% | flat |
| 45 | Serbia | 4 1000 t | 2023 | unchanged | flat |
| 45 | Turkey | 4 1000 t | 2023 | down 42.9% | falling |
| 45 | Vietnam | 4 1000 t | 2023 | — | volatile |
| 45 | Viet Nam | 4 1000 t | 2023 | — | volatile |
| 45 | Türkiye | 4 1000 t | 2023 | down 42.9% | falling |
| 52 | Armenia | 3 1000 t | 2023 | up 200.0% | rising |
| 52 | Croatia | 3 1000 t | 2023 | unchanged | rising |
| 52 | Israel | 3 1000 t | 2023 | down 78.6% | volatile |
| 52 | Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Mauritania | 3 1000 t | 2023 | — | volatile |
| 52 | Malaysia | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Eswatini | 3 1000 t | 2023 | down 85.7% | volatile |
| 52 | Republic of Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Australia and New Zealand | 3 1000 t | 2023 | down 25.0% | falling |
| 61 | Australia | 2 1000 t | 2023 | down 33.3% | falling |
| 61 | Estonia | 2 1000 t | 2023 | unchanged | falling |
| 61 | Finland | 2 1000 t | 2023 | down 50.0% | falling |
| 61 | Ghana | 2 1000 t | 2023 | up 100.0% | volatile |
| 61 | Kuwait | 2 1000 t | 2023 | down 50.0% | volatile |
| 61 | Norway | 2 1000 t | 2023 | down 60.0% | falling |
| 61 | Slovenia | 2 1000 t | 2023 | down 50.0% | falling |
| 61 | Uruguay | 2 1000 t | 2023 | unchanged | rising |
| 69 | Antigua and Barbuda | 1 1000 t | 2023 | — | volatile |
| 69 | Azerbaijan | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 69 | Bahrain | 1 1000 t | 2023 | — | flat |
| 69 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | falling |
| 69 | Brazil | 1 1000 t | 2023 | down 66.7% | volatile |
| 69 | Barbados | 1 1000 t | 2023 | — | volatile |
| 69 | Botswana | 1 1000 t | 2023 | — | volatile |
| 69 | Algeria | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Gabon | 1 1000 t | 2023 | down 66.7% | volatile |
| 69 | Georgia | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Indonesia | 1 1000 t | 2023 | down 50.0% | volatile |
| 69 | India | 1 1000 t | 2023 | — | volatile |
| 69 | Jordan | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 69 | Maldives | 1 1000 t | 2023 | — | volatile |
| 69 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 69 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 69 | Mauritius | 1 1000 t | 2023 | down 50.0% | volatile |
| 69 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 69 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Paraguay | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Qatar | 1 1000 t | 2023 | — | volatile |
| 69 | Syria | 1 1000 t | 2023 | — | volatile |
| 69 | Trinidad and Tobago | 1 1000 t | 2023 | down 50.0% | volatile |
| 69 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 69 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 69 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 69 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 98 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Albania | 0 1000 t | 2023 | — | volatile |
| 98 | Chile | 0 1000 t | 2023 | down 100.0% | falling |
| 98 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 98 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 98 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 98 | Honduras | 0 1000 t | 2023 | — | volatile |
| 98 | Iceland | 0 1000 t | 2023 | — | volatile |
| 98 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 98 | Kenya | 0 1000 t | 2023 | — | volatile |
| 98 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 98 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Libya | 0 1000 t | 2023 | — | volatile |
| 98 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 98 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Nepal | 0 1000 t | 2023 | — | volatile |
| 98 | Panama | 0 1000 t | 2023 | down 100.0% | falling |
| 98 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Thailand | 0 1000 t | 2023 | — | volatile |
| 98 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 98 | Yemen | 0 1000 t | 2023 | — | volatile |
| 98 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 98 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 98 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,626 1000 t
- Europe 962 1000 t
- European Union (27) 748 1000 t
- Western Europe 519 1000 t
- Asia 392 1000 t
- Eastern Asia 290 1000 t
- Eastern Europe 271 1000 t
- Americas 245 1000 t
- Northern America 216 1000 t
- United States of America 173 1000 t
- Southern Europe 99 1000 t
- Northern Europe 73 1000 t
- Western Asia 57 1000 t
- Net Food Importing Developing Countries (NFIDCs) 39 1000 t
- Land Locked Developing Countries (LLDCs) 37 1000 t
- South-Eastern Asia 29 1000 t
- Least Developed Countries (LDCs) 27 1000 t
- Africa 24 1000 t
- Central Asia 14 1000 t
- South America 12 1000 t
- Small island developing States (SIDS) 12 1000 t
- Southern Africa 12 1000 t
- Low Income Food Deficit Countries (LIFDCs) 9 1000 t
- Western Africa 7 1000 t
- Central America 7 1000 t
- Oceania 4 1000 t
- Eastern Africa 3 1000 t
- Southern Asia 3 1000 t
- Middle Africa 2 1000 t
- Northern Africa 1 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.