Grapefruit and products — 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...
What the numbers show
Grapefruit and products — Domestic supply quantity is currently reported for 152 countries. The highest value is 5,231 1000 t in China; the lowest is -22 1000 t in Algeria.
The median across all reporting countries is 5 1000 t, and the mean is 111.22 1000 t.
The gap between the highest and lowest reporting country is a factor of about 238.
Over the past decade 40 countries rose and 69 fell. The largest increase was in Spain (up 2,400.0%), and the largest decrease in Egypt (down 1,500.0%).
Grapefruit and products — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5,231 1000 t | 2023 | up 42.0% | rising |
| 2 | China, mainland | 5,139 1000 t | 2023 | up 43.4% | rising |
| 3 | Vietnam | 1,196 1000 t | 2023 | up 172.4% | rising |
| 3 | Viet Nam | 1,196 1000 t | 2023 | up 172.4% | rising |
| 5 | Mexico | 466 1000 t | 2023 | up 32.0% | rising |
| 6 | United States | 369 1000 t | 2023 | down 38.6% | falling |
| 7 | Thailand | 232 1000 t | 2023 | up 1.8% | flat |
| 8 | Syria | 206 1000 t | 2023 | up 442.1% | volatile |
| 8 | Syrian Arab Republic | 206 1000 t | 2023 | up 442.1% | volatile |
| 10 | Turkey | 180 1000 t | 2023 | up 83.7% | rising |
| 10 | Türkiye | 180 1000 t | 2023 | up 83.7% | rising |
| 12 | South Africa | 153 1000 t | 2023 | up 13.3% | falling |
| 13 | Caribbean | 146 1000 t | 2023 | down 12.0% | falling |
| 14 | Russia | 124 1000 t | 2023 | down 35.4% | falling |
| 14 | Russian Federation | 124 1000 t | 2023 | down 35.4% | falling |
| 16 | Argentina | 107 1000 t | 2023 | down 15.1% | falling |
| 17 | Tunisia | 103 1000 t | 2023 | up 7.3% | rising |
| 18 | France | 99 1000 t | 2023 | down 36.5% | falling |
| 19 | Iran (Islamic Republic of) | 88 1000 t | 2023 | unchanged | rising |
| 20 | Brazil | 85 1000 t | 2023 | up 6.2% | rising |
| 20 | China, Taiwan Province of | 85 1000 t | 2023 | up 4.9% | falling |
| 22 | Netherlands (Kingdom of the) | 77 1000 t | 2023 | down 14.4% | rising |
| 23 | Germany | 76 1000 t | 2023 | down 28.3% | falling |
| 24 | Bangladesh | 71 1000 t | 2023 | up 18.3% | rising |
| 25 | Poland | 47 1000 t | 2023 | down 33.8% | falling |
| 26 | Jamaica | 46 1000 t | 2023 | up 2.2% | flat |
| 27 | Canada | 42 1000 t | 2023 | down 33.3% | falling |
| 27 | Eswatini | 42 1000 t | 2023 | down 31.1% | falling |
| 29 | Italy | 41 1000 t | 2023 | down 34.9% | falling |
| 30 | Haiti | 40 1000 t | 2023 | up 81.8% | rising |
| 31 | United Kingdom | 37 1000 t | 2023 | down 84.9% | volatile |
| 31 | United Kingdom of Great Britain and Northern Ireland | 37 1000 t | 2023 | down 84.9% | volatile |
| 33 | Bulgaria | 33 1000 t | 2023 | up 230.0% | rising |
| 34 | Philippines | 29 1000 t | 2023 | down 9.4% | falling |
| 35 | Bahamas | 27 1000 t | 2023 | up 17.4% | rising |
| 36 | Romania | 26 1000 t | 2023 | up 4.0% | volatile |
| 36 | Republic of Korea | 26 1000 t | 2023 | up 23.8% | rising |
| 38 | Cote d'Ivoire | 25 1000 t | 2023 | up 8.7% | rising |
| 38 | Spain | 25 1000 t | 2023 | up 2,400.0% | volatile |
| 38 | Côte d'Ivoire | 25 1000 t | 2023 | up 8.7% | rising |
| 41 | Honduras | 24 1000 t | 2023 | down 11.1% | falling |
| 42 | Israel | 23 1000 t | 2023 | down 23.3% | volatile |
| 43 | Costa Rica | 22 1000 t | 2023 | up 4.8% | rising |
| 44 | Ukraine | 21 1000 t | 2023 | down 43.2% | flat |
| 45 | Cuba | 18 1000 t | 2019 | down 80.0% | falling |
| 45 | Saudi Arabia | 18 1000 t | 2023 | down 35.7% | rising |
| 47 | Cambodia | 16 1000 t | 2023 | up 300.0% | volatile |
| 48 | Malaysia | 15 1000 t | 2023 | up 150.0% | rising |
| 49 | Madagascar | 13 1000 t | 2023 | up 8.3% | rising |
| 50 | Switzerland | 12 1000 t | 2023 | down 29.4% | falling |
| 51 | Belgium | 11 1000 t | 2023 | down 21.4% | rising |
| 51 | Czechia | 11 1000 t | 2023 | down 21.4% | falling |
| 51 | Kazakhstan | 11 1000 t | 2023 | up 120.0% | volatile |
| 54 | United Arab Emirates | 10 1000 t | 2023 | down 50.0% | falling |
| 54 | Australia and New Zealand | 10 1000 t | 2023 | unchanged | falling |
| 56 | Mozambique | 9 1000 t | 2023 | down 10.0% | falling |
| 56 | Peru | 9 1000 t | 2023 | up 125.0% | rising |
| 56 | Democratic Republic of the Congo | 9 1000 t | 2023 | down 10.0% | falling |
| 59 | Australia | 8 1000 t | 2023 | down 11.1% | falling |
| 59 | Jordan | 8 1000 t | 2023 | up 14.3% | falling |
| 59 | Lebanon | 8 1000 t | 2023 | down 27.3% | rising |
| 59 | Venezuela (Bolivarian Republic of) | 8 1000 t | 2023 | unchanged | flat |
| 63 | Belarus | 7 1000 t | 2023 | down 46.2% | falling |
| 63 | Slovakia | 7 1000 t | 2023 | up 16.7% | falling |
| 65 | Dominican Republic | 6 1000 t | 2023 | down 45.5% | falling |
| 65 | Ireland | 6 1000 t | 2023 | down 14.3% | rising |
| 65 | Paraguay | 6 1000 t | 2023 | down 73.9% | falling |
| 65 | Bolivia (Plurinational State of) | 6 1000 t | 2023 | down 33.3% | falling |
| 65 | China, Hong Kong SAR | 6 1000 t | 2023 | down 66.7% | volatile |
| 70 | Congo | 5 1000 t | 2023 | unchanged | rising |
| 70 | Cyprus | 5 1000 t | 2023 | down 16.7% | falling |
| 70 | Denmark | 5 1000 t | 2023 | down 28.6% | falling |
| 70 | Ecuador | 5 1000 t | 2023 | unchanged | rising |
| 70 | Greece | 5 1000 t | 2023 | down 37.5% | falling |
| 70 | Iraq | 5 1000 t | 2023 | unchanged | rising |
| 70 | Sweden | 5 1000 t | 2023 | down 66.7% | falling |
| 70 | Zimbabwe | 5 1000 t | 2023 | down 16.7% | flat |
| 78 | Austria | 4 1000 t | 2023 | down 33.3% | falling |
| 78 | Kenya | 4 1000 t | 2023 | up 300.0% | volatile |
| 78 | Lithuania | 4 1000 t | 2023 | down 33.3% | falling |
| 78 | Serbia | 4 1000 t | 2023 | unchanged | flat |
| 82 | Armenia | 3 1000 t | 2023 | up 200.0% | rising |
| 82 | Hungary | 3 1000 t | 2023 | down 40.0% | rising |
| 82 | Latvia | 3 1000 t | 2023 | down 25.0% | falling |
| 82 | Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 82 | Mauritania | 3 1000 t | 2023 | — | volatile |
| 82 | Portugal | 3 1000 t | 2023 | — | volatile |
| 82 | Uruguay | 3 1000 t | 2023 | unchanged | falling |
| 82 | Uzbekistan | 3 1000 t | 2023 | up 50.0% | rising |
| 82 | Republic of Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 91 | Belize | 2 1000 t | 2023 | down 88.9% | volatile |
| 91 | Estonia | 2 1000 t | 2023 | unchanged | falling |
| 91 | Finland | 2 1000 t | 2023 | down 33.3% | falling |
| 91 | Ghana | 2 1000 t | 2023 | up 100.0% | volatile |
| 91 | Grenada | 2 1000 t | 2023 | unchanged | flat |
| 91 | Croatia | 2 1000 t | 2023 | down 33.3% | falling |
| 91 | Kuwait | 2 1000 t | 2023 | down 33.3% | volatile |
| 91 | Norway | 2 1000 t | 2023 | down 50.0% | falling |
| 91 | New Zealand | 2 1000 t | 2023 | up 100.0% | rising |
| 91 | Pakistan | 2 1000 t | 2023 | up 118.2% | volatile |
| 91 | Slovenia | 2 1000 t | 2023 | down 33.3% | volatile |
| 102 | Antigua and Barbuda | 1 1000 t | 2023 | — | volatile |
| 102 | Azerbaijan | 1 1000 t | 2023 | unchanged | volatile |
| 102 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 102 | Bahrain | 1 1000 t | 2023 | — | falling |
| 102 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | falling |
| 102 | Barbados | 1 1000 t | 2023 | — | volatile |
| 102 | Botswana | 1 1000 t | 2023 | — | volatile |
| 102 | Gabon | 1 1000 t | 2023 | down 50.0% | volatile |
| 102 | Guyana | 1 1000 t | 2023 | unchanged | falling |
| 102 | Indonesia | 1 1000 t | 2023 | unchanged | falling |
| 102 | India | 1 1000 t | 2023 | down 99.6% | volatile |
| 102 | Saint Lucia | 1 1000 t | 2023 | unchanged | flat |
| 102 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 102 | Maldives | 1 1000 t | 2023 | — | volatile |
| 102 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 102 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 102 | Mauritius | 1 1000 t | 2023 | down 50.0% | volatile |
| 102 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 102 | Qatar | 1 1000 t | 2023 | — | falling |
| 102 | Suriname | 1 1000 t | 2023 | down 75.0% | falling |
| 102 | Trinidad and Tobago | 1 1000 t | 2023 | down 66.7% | falling |
| 102 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 124 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 124 | Albania | 0 1000 t | 2023 | — | volatile |
| 124 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 124 | Georgia | 0 1000 t | 2023 | down 100.0% | falling |
| 124 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 124 | Iceland | 0 1000 t | 2023 | — | volatile |
| 124 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 124 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 124 | Libya | 0 1000 t | 2023 | — | volatile |
| 124 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 124 | Myanmar | 0 1000 t | 2023 | — | flat |
| 124 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 124 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 124 | Niger | 0 1000 t | 2023 | — | volatile |
| 124 | Nepal | 0 1000 t | 2023 | — | volatile |
| 124 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 124 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 124 | Uganda | 0 1000 t | 2023 | — | volatile |
| 124 | Yemen | 0 1000 t | 2023 | — | volatile |
| 124 | Zambia | 0 1000 t | 2023 | — | volatile |
| 124 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 124 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 124 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 187 | Chile | -1 1000 t | 2023 | down 200.0% | volatile |
| 188 | Morocco | -2 1000 t | 2023 | down 100.0% | volatile |
| 189 | Laos | -4 1000 t | 2023 | down 166.7% | volatile |
| 189 | Lao People's Democratic Republic | -4 1000 t | 2023 | down 166.7% | volatile |
| 191 | Egypt | -14 1000 t | 2023 | down 1,500.0% | volatile |
| 192 | Algeria | -22 1000 t | 2023 | down 833.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 10,172 1000 t
- Asia 7,493 1000 t
- Eastern Asia 5,358 1000 t
- South-Eastern Asia 1,485 1000 t
- Americas 1,302 1000 t
- Net Food Importing Developing Countries (NFIDCs) 764 1000 t
- Europe 712 1000 t
- Africa 654 1000 t
- Low Income Food Deficit Countries (LIFDCs) 614 1000 t
- Central America 515 1000 t
- European Union (27) 504 1000 t
- Least Developed Countries (LDCs) 472 1000 t
- Western Asia 472 1000 t
- Northern America 412 1000 t
- United States of America 369 1000 t
- Northern Africa 364 1000 t
- Eastern Europe 281 1000 t
- Western Europe 280 1000 t
- South America 230 1000 t
- Southern Africa 196 1000 t
- Southern Asia 162 1000 t
- Small island developing States (SIDS) 153 1000 t
- Land Locked Developing Countries (LLDCs) 88 1000 t
- Southern Europe 84 1000 t
- Northern Europe 66 1000 t
- Eastern Africa 39 1000 t
- Western Africa 33 1000 t
- Middle Africa 22 1000 t
- Central Asia 15 1000 t
- Oceania 11 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.