Grapefruit and products — Export 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 — Export quantity is currently reported for 93 countries. The highest value is 262 1000 t in South Africa; the lowest is 0 1000 t in Iran (Islamic Republic of).
The median across all reporting countries is 1 1000 t, and the mean is 18.65 1000 t.
Over the past decade 17 countries rose and 38 fell. The largest increase was in Egypt (up 950.0%), and the largest decrease in Argentina (down 100.0%).
Grapefruit and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | South Africa | 262 1000 t | 2023 | down 14.9% | rising |
| 2 | China | 207 1000 t | 2023 | up 21.8% | rising |
| 3 | Netherlands (Kingdom of the) | 202 1000 t | 2023 | down 28.4% | falling |
| 4 | China, mainland | 191 1000 t | 2023 | up 20.9% | rising |
| 5 | Israel | 128 1000 t | 2023 | down 32.3% | falling |
| 6 | Turkey | 109 1000 t | 2023 | down 20.4% | falling |
| 6 | Türkiye | 109 1000 t | 2023 | down 20.4% | falling |
| 8 | United States | 94 1000 t | 2023 | down 80.0% | volatile |
| 9 | Spain | 91 1000 t | 2023 | up 5.8% | rising |
| 10 | Thailand | 34 1000 t | 2023 | up 78.9% | rising |
| 11 | Mexico | 28 1000 t | 2023 | down 63.6% | falling |
| 12 | Algeria | 25 1000 t | 2023 | — | volatile |
| 13 | Egypt | 21 1000 t | 2023 | up 950.0% | volatile |
| 14 | Germany | 20 1000 t | 2023 | down 39.4% | falling |
| 15 | Laos | 18 1000 t | 2023 | — | volatile |
| 15 | Lao People's Democratic Republic | 18 1000 t | 2023 | — | volatile |
| 17 | Paraguay | 17 1000 t | 2023 | down 41.4% | falling |
| 18 | Cyprus | 12 1000 t | 2023 | down 14.3% | falling |
| 18 | China, Hong Kong SAR | 12 1000 t | 2023 | up 100.0% | volatile |
| 20 | Belgium | 11 1000 t | 2023 | down 73.2% | falling |
| 21 | France | 10 1000 t | 2023 | down 71.4% | falling |
| 21 | Vietnam | 10 1000 t | 2023 | up 900.0% | volatile |
| 21 | Viet Nam | 10 1000 t | 2023 | up 900.0% | volatile |
| 24 | Eswatini | 8 1000 t | 2023 | up 33.3% | falling |
| 25 | Bulgaria | 6 1000 t | 2023 | up 500.0% | volatile |
| 26 | Cuba | 5 1000 t | 2019 | down 89.6% | volatile |
| 26 | Portugal | 5 1000 t | 2023 | unchanged | volatile |
| 28 | Austria | 4 1000 t | 2023 | down 71.4% | falling |
| 28 | Italy | 4 1000 t | 2023 | down 33.3% | volatile |
| 28 | Malaysia | 4 1000 t | 2023 | down 50.0% | falling |
| 28 | Zimbabwe | 4 1000 t | 2023 | up 33.3% | flat |
| 28 | China, Taiwan Province of | 4 1000 t | 2023 | down 20.0% | rising |
| 33 | United Arab Emirates | 3 1000 t | 2023 | up 50.0% | rising |
| 33 | Australia | 3 1000 t | 2023 | up 50.0% | rising |
| 33 | Greece | 3 1000 t | 2023 | unchanged | rising |
| 33 | Poland | 3 1000 t | 2023 | down 57.1% | falling |
| 33 | Australia and New Zealand | 3 1000 t | 2023 | up 50.0% | rising |
| 38 | Chile | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Denmark | 2 1000 t | 2023 | down 50.0% | falling |
| 38 | Hungary | 2 1000 t | 2023 | down 50.0% | falling |
| 38 | Morocco | 2 1000 t | 2023 | unchanged | volatile |
| 38 | Peru | 2 1000 t | 2023 | up 100.0% | volatile |
| 38 | Romania | 2 1000 t | 2023 | up 100.0% | volatile |
| 44 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 44 | Belize | 1 1000 t | 2023 | down 85.7% | volatile |
| 44 | Canada | 1 1000 t | 2023 | down 50.0% | volatile |
| 44 | Czechia | 1 1000 t | 2023 | down 75.0% | falling |
| 44 | United Kingdom | 1 1000 t | 2023 | down 83.3% | falling |
| 44 | Georgia | 1 1000 t | 2023 | — | volatile |
| 44 | Croatia | 1 1000 t | 2023 | — | volatile |
| 44 | Ireland | 1 1000 t | 2023 | unchanged | volatile |
| 44 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 44 | Lebanon | 1 1000 t | 2023 | down 66.7% | falling |
| 44 | Lithuania | 1 1000 t | 2023 | down 88.9% | volatile |
| 44 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 44 | Nepal | 1 1000 t | 2022 | — | volatile |
| 44 | Russia | 1 1000 t | 2023 | unchanged | volatile |
| 44 | Saudi Arabia | 1 1000 t | 2023 | down 90.0% | volatile |
| 44 | Slovakia | 1 1000 t | 2023 | unchanged | volatile |
| 44 | Slovenia | 1 1000 t | 2023 | down 50.0% | falling |
| 44 | Syria | 1 1000 t | 2023 | down 85.7% | volatile |
| 44 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 44 | Caribbean | 1 1000 t | 2023 | down 97.1% | volatile |
| 44 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 44 | Russian Federation | 1 1000 t | 2023 | unchanged | volatile |
| 44 | Syrian Arab Republic | 1 1000 t | 2023 | down 85.7% | volatile |
| 44 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | down 83.3% | falling |
| 68 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Bahamas | 0 1000 t | 2022 | — | volatile |
| 68 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Brazil | 0 1000 t | 2023 | — | volatile |
| 68 | Finland | 0 1000 t | 2023 | — | volatile |
| 68 | Ghana | 0 1000 t | 2023 | — | volatile |
| 68 | Honduras | 0 1000 t | 2023 | — | volatile |
| 68 | India | 0 1000 t | 2023 | — | volatile |
| 68 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Saint Kitts and Nevis | 0 1000 t | 2017 | — | volatile |
| 68 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 68 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 68 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 68 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 68 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 68 | Oman | 0 1000 t | 2023 | — | volatile |
| 68 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Panama | 0 1000 t | 2020 | — | volatile |
| 68 | Philippines | 0 1000 t | 2023 | — | volatile |
| 68 | Serbia | 0 1000 t | 2023 | — | volatile |
| 68 | Uganda | 0 1000 t | 2022 | — | volatile |
| 68 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 68 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 68 | Zambia | 0 1000 t | 2022 | — | volatile |
| 68 | Iran (Islamic Republic of) | 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 1,383 1000 t
- Asia 536 1000 t
- European Union (27) 383 1000 t
- Europe 373 1000 t
- Africa 323 1000 t
- Southern Africa 270 1000 t
- Western Asia 257 1000 t
- Western Europe 247 1000 t
- Eastern Asia 210 1000 t
- Americas 148 1000 t
- Southern Europe 105 1000 t
- Northern America 96 1000 t
- United States of America 94 1000 t
- South-Eastern Asia 67 1000 t
- Net Food Importing Developing Countries (NFIDCs) 54 1000 t
- Northern Africa 48 1000 t
- Land Locked Developing Countries (LLDCs) 48 1000 t
- Central America 29 1000 t
- South America 22 1000 t
- Least Developed Countries (LDCs) 19 1000 t
- Eastern Europe 15 1000 t
- Northern Europe 6 1000 t
- Low Income Food Deficit Countries (LIFDCs) 6 1000 t
- Eastern Africa 5 1000 t
- Oceania 3 1000 t
- Small island developing States (SIDS) 2 1000 t
- Southern Asia 2 1000 t
- Central Asia 1 1000 t
- Western Africa 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.