Oranges, Mandarines — Losses 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
Oranges, Mandarines — Losses is currently reported for 123 countries. The highest value is 3,828 1000 t in China; the lowest is 0 1000 t in Rwanda.
The median across all reporting countries is 11 1000 t, and the mean is 116.69 1000 t.
Over the past decade 55 countries rose and 38 fell. The largest increase was in Panama (up 285.7%), and the largest decrease in Belarus (down 100.0%).
Oranges, Mandarines — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 3,828 1000 t | 2023 | up 50.6% | rising |
| 2 | China, mainland | 3,786 1000 t | 2023 | up 51.9% | rising |
| 3 | Brazil | 1,633 1000 t | 2023 | up 1.3% | falling |
| 4 | Mexico | 457 1000 t | 2023 | up 11.2% | rising |
| 5 | Egypt | 377 1000 t | 2023 | up 18.6% | rising |
| 6 | India | 335 1000 t | 2023 | down 37.7% | rising |
| 7 | Turkey | 261 1000 t | 2023 | up 74.0% | rising |
| 7 | Türkiye | 261 1000 t | 2023 | up 74.0% | rising |
| 9 | Iran (Islamic Republic of) | 252 1000 t | 2023 | down 6.0% | rising |
| 10 | Spain | 229 1000 t | 2023 | down 29.1% | falling |
| 11 | Peru | 183 1000 t | 2023 | up 61.9% | rising |
| 12 | Pakistan | 174 1000 t | 2023 | up 8.1% | rising |
| 13 | Vietnam | 157 1000 t | 2023 | up 248.9% | volatile |
| 13 | Viet Nam | 157 1000 t | 2023 | up 248.9% | volatile |
| 15 | Algeria | 140 1000 t | 2023 | up 48.9% | rising |
| 16 | United States | 136 1000 t | 2023 | down 25.3% | falling |
| 17 | Argentina | 121 1000 t | 2023 | up 17.5% | flat |
| 18 | Greece | 106 1000 t | 2023 | unchanged | rising |
| 19 | Morocco | 93 1000 t | 2023 | down 21.8% | flat |
| 20 | Colombia | 91 1000 t | 2023 | up 184.4% | rising |
| 21 | France | 82 1000 t | 2023 | down 4.7% | rising |
| 22 | Republic of Korea | 64 1000 t | 2023 | down 8.6% | falling |
| 23 | Syria | 60 1000 t | 2023 | down 13.0% | falling |
| 23 | Syrian Arab Republic | 60 1000 t | 2023 | down 13.0% | falling |
| 25 | Ghana | 59 1000 t | 2023 | up 5.4% | rising |
| 25 | Thailand | 59 1000 t | 2023 | up 13.5% | rising |
| 27 | Iraq | 58 1000 t | 2023 | up 93.3% | rising |
| 28 | South Africa | 55 1000 t | 2023 | up 10.0% | rising |
| 29 | Venezuela (Bolivarian Republic of) | 53 1000 t | 2023 | up 3.9% | rising |
| 30 | Bolivia (Plurinational State of) | 50 1000 t | 2023 | up 56.2% | rising |
| 31 | Italy | 45 1000 t | 2023 | up 73.1% | flat |
| 32 | Tunisia | 43 1000 t | 2023 | up 207.1% | volatile |
| 33 | Honduras | 41 1000 t | 2023 | down 2.4% | rising |
| 34 | Poland | 32 1000 t | 2023 | up 3.2% | rising |
| 35 | Costa Rica | 31 1000 t | 2023 | down 22.5% | falling |
| 35 | Caribbean | 31 1000 t | 2023 | down 13.9% | falling |
| 37 | United Republic of Tanzania | 30 1000 t | 2023 | unchanged | rising |
| 38 | Chile | 29 1000 t | 2023 | up 70.6% | rising |
| 38 | Indonesia | 29 1000 t | 2023 | down 79.1% | falling |
| 38 | Portugal | 29 1000 t | 2023 | up 26.1% | rising |
| 41 | Panama | 27 1000 t | 2023 | up 285.7% | volatile |
| 42 | United Kingdom | 25 1000 t | 2023 | down 10.7% | flat |
| 42 | United Kingdom of Great Britain and Northern Ireland | 25 1000 t | 2023 | down 10.7% | flat |
| 44 | Paraguay | 24 1000 t | 2023 | up 4.3% | flat |
| 44 | China, Taiwan Province of | 24 1000 t | 2023 | down 14.3% | falling |
| 46 | Guatemala | 23 1000 t | 2023 | up 15.0% | rising |
| 47 | Germany | 21 1000 t | 2023 | unchanged | flat |
| 48 | United Arab Emirates | 20 1000 t | 2023 | down 4.8% | rising |
| 48 | Ecuador | 20 1000 t | 2023 | up 150.0% | rising |
| 48 | Nepal | 20 1000 t | 2023 | up 33.3% | rising |
| 51 | China, Hong Kong SAR | 18 1000 t | 2023 | down 10.0% | rising |
| 52 | Canada | 17 1000 t | 2023 | up 6.2% | rising |
| 52 | Malawi | 17 1000 t | 2023 | — | volatile |
| 52 | Nicaragua | 17 1000 t | 2023 | up 6.2% | rising |
| 55 | Uruguay | 16 1000 t | 2023 | down 5.9% | falling |
| 55 | Zimbabwe | 16 1000 t | 2023 | up 77.8% | rising |
| 57 | Lebanon | 15 1000 t | 2023 | down 11.8% | rising |
| 58 | El Salvador | 14 1000 t | 2023 | down 6.7% | flat |
| 58 | Democratic Republic of the Congo | 14 1000 t | 2023 | unchanged | falling |
| 60 | Dominican Republic | 13 1000 t | 2023 | unchanged | falling |
| 60 | Yemen | 13 1000 t | 2023 | up 8.3% | rising |
| 62 | Kenya | 11 1000 t | 2023 | up 10.0% | rising |
| 63 | Haiti | 9 1000 t | 2023 | up 50.0% | rising |
| 63 | Jordan | 9 1000 t | 2023 | up 28.6% | rising |
| 63 | Australia and New Zealand | 9 1000 t | 2023 | up 12.5% | flat |
| 63 | Netherlands (Kingdom of the) | 9 1000 t | 2023 | up 28.6% | rising |
| 67 | Israel | 8 1000 t | 2023 | up 33.3% | rising |
| 67 | Romania | 8 1000 t | 2023 | up 14.3% | rising |
| 69 | Australia | 7 1000 t | 2023 | up 40.0% | rising |
| 69 | Jamaica | 7 1000 t | 2023 | unchanged | falling |
| 69 | Laos | 7 1000 t | 2023 | unchanged | flat |
| 69 | Madagascar | 7 1000 t | 2023 | unchanged | rising |
| 69 | Saudi Arabia | 7 1000 t | 2023 | down 22.2% | rising |
| 69 | Lao People's Democratic Republic | 7 1000 t | 2023 | unchanged | flat |
| 75 | Cambodia | 6 1000 t | 2023 | up 20.0% | rising |
| 75 | Mozambique | 6 1000 t | 2023 | up 50.0% | rising |
| 77 | Austria | 5 1000 t | 2023 | unchanged | falling |
| 77 | Libya | 5 1000 t | 2023 | unchanged | rising |
| 77 | Senegal | 5 1000 t | 2023 | up 66.7% | rising |
| 77 | Slovenia | 5 1000 t | 2023 | up 25.0% | rising |
| 81 | Albania | 4 1000 t | 2023 | up 100.0% | rising |
| 81 | Azerbaijan | 4 1000 t | 2023 | up 100.0% | rising |
| 81 | Bangladesh | 4 1000 t | 2023 | up 100.0% | rising |
| 81 | Bulgaria | 4 1000 t | 2023 | up 100.0% | rising |
| 81 | Bosnia and Herzegovina | 4 1000 t | 2023 | up 33.3% | flat |
| 81 | Cote d'Ivoire | 4 1000 t | 2023 | up 33.3% | rising |
| 81 | Cuba | 4 1000 t | 2019 | down 76.5% | volatile |
| 81 | Croatia | 4 1000 t | 2023 | down 33.3% | falling |
| 81 | Hungary | 4 1000 t | 2023 | unchanged | flat |
| 81 | Kuwait | 4 1000 t | 2023 | down 60.0% | falling |
| 81 | Eswatini | 4 1000 t | 2023 | unchanged | flat |
| 81 | Côte d'Ivoire | 4 1000 t | 2023 | up 33.3% | rising |
| 93 | Cyprus | 3 1000 t | 2023 | down 50.0% | falling |
| 93 | Ethiopia | 3 1000 t | 2023 | down 25.0% | falling |
| 93 | Georgia | 3 1000 t | 2023 | down 25.0% | rising |
| 93 | Ireland | 3 1000 t | 2023 | up 50.0% | rising |
| 93 | Qatar | 3 1000 t | 2023 | — | falling |
| 93 | Uzbekistan | 3 1000 t | 2023 | — | volatile |
| 99 | Belgium | 2 1000 t | 2023 | unchanged | flat |
| 99 | Bahrain | 2 1000 t | 2023 | — | flat |
| 99 | Switzerland | 2 1000 t | 2023 | down 33.3% | rising |
| 99 | Denmark | 2 1000 t | 2023 | unchanged | flat |
| 99 | Finland | 2 1000 t | 2023 | unchanged | flat |
| 99 | Guyana | 2 1000 t | 2023 | — | volatile |
| 99 | North Macedonia | 2 1000 t | 2023 | unchanged | rising |
| 99 | Montenegro | 2 1000 t | 2023 | up 100.0% | rising |
| 99 | Norway | 2 1000 t | 2023 | down 33.3% | falling |
| 99 | New Zealand | 2 1000 t | 2023 | down 33.3% | falling |
| 99 | Philippines | 2 1000 t | 2023 | unchanged | rising |
| 99 | Slovakia | 2 1000 t | 2023 | down 33.3% | rising |
| 99 | Sweden | 2 1000 t | 2023 | down 33.3% | falling |
| 112 | Afghanistan | 1 1000 t | 2023 | unchanged | volatile |
| 112 | Belize | 1 1000 t | 2023 | down 87.5% | falling |
| 112 | Bhutan | 1 1000 t | 2023 | — | falling |
| 112 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | flat |
| 112 | Liberia | 1 1000 t | 2023 | unchanged | flat |
| 112 | Malaysia | 1 1000 t | 2023 | down 50.0% | falling |
| 112 | Suriname | 1 1000 t | 2023 | unchanged | rising |
| 112 | Zambia | 1 1000 t | 2023 | unchanged | falling |
| 120 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 120 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | falling |
| 120 | Latvia | 0 1000 t | 2019 | down 100.0% | volatile |
| 120 | Rwanda | 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 10,155 1000 t
- Asia 5,525 1000 t
- Eastern Asia 4,006 1000 t
- Americas 3,017 1000 t
- South America 2,223 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,245 1000 t
- Africa 964 1000 t
- Southern Asia 787 1000 t
- Northern Africa 671 1000 t
- Europe 640 1000 t
- Central America 609 1000 t
- European Union (27) 601 1000 t
- Western Asia 468 1000 t
- Southern Europe 432 1000 t
- Low Income Food Deficit Countries (LIFDCs) 305 1000 t
- South-Eastern Asia 261 1000 t
- Least Developed Countries (LDCs) 217 1000 t
- Land Locked Developing Countries (LLDCs) 210 1000 t
- Northern America 154 1000 t
- United States of America 136 1000 t
- Western Africa 123 1000 t
- Western Europe 121 1000 t
- Eastern Africa 93 1000 t
- Southern Africa 59 1000 t
- Eastern Europe 51 1000 t
- Northern Europe 37 1000 t
- Small island developing States (SIDS) 36 1000 t
- Middle Africa 17 1000 t
- Oceania 10 1000 t
- Central Asia 3 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.