Citrus, Other — 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
Citrus, Other — Losses is currently reported for 90 countries. The highest value is 612 1000 t in China; the lowest is 0 1000 t in Türkiye.
The median across all reporting countries is 0 1000 t, and the mean is 20.54 1000 t.
Over the past decade 11 countries rose and 6 fell. The largest increase was in Thailand (up 200.0%), and the largest decrease in Colombia (down 100.0%).
Citrus, Other — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 612 1000 t | 2023 | up 16.8% | rising |
| 2 | China, mainland | 606 1000 t | 2023 | up 17.0% | rising |
| 3 | Nigeria | 348 1000 t | 2023 | up 9.4% | rising |
| 4 | India | 60 1000 t | 2023 | down 16.7% | falling |
| 5 | Iran (Islamic Republic of) | 53 1000 t | 2023 | up 8.2% | rising |
| 6 | Angola | 40 1000 t | 2023 | up 60.0% | rising |
| 7 | Mexico | 22 1000 t | 2023 | up 69.2% | rising |
| 8 | Guinea | 20 1000 t | 2023 | unchanged | flat |
| 9 | Peru | 12 1000 t | 2023 | up 9.1% | rising |
| 9 | Tunisia | 12 1000 t | 2023 | up 9.1% | rising |
| 11 | Guatemala | 9 1000 t | 2023 | unchanged | falling |
| 11 | Philippines | 9 1000 t | 2023 | down 35.7% | falling |
| 11 | Sierra Leone | 9 1000 t | 2023 | unchanged | rising |
| 14 | Kenya | 8 1000 t | 2023 | unchanged | falling |
| 15 | China, Taiwan Province of | 6 1000 t | 2023 | up 20.0% | rising |
| 16 | Côte d'Ivoire | 4 1000 t | 2023 | up 33.3% | rising |
| 16 | United Republic of Tanzania | 4 1000 t | 2023 | unchanged | flat |
| 18 | Thailand | 3 1000 t | 2023 | up 200.0% | rising |
| 19 | Italy | 2 1000 t | 2023 | down 33.3% | falling |
| 20 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 20 | United Arab Emirates | 1 1000 t | 2023 | unchanged | rising |
| 20 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 20 | Greece | 1 1000 t | 2023 | — | volatile |
| 20 | Morocco | 1 1000 t | 2023 | unchanged | rising |
| 20 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 20 | Saudi Arabia | 1 1000 t | 2023 | down 50.0% | volatile |
| 20 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 20 | Caribbean | 1 1000 t | 2023 | — | volatile |
| 20 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 30 | Albania | 0 1000 t | 2023 | — | flat |
| 30 | Australia | 0 1000 t | 2023 | — | flat |
| 30 | Austria | 0 1000 t | 2023 | — | flat |
| 30 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 30 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 30 | Bahrain | 0 1000 t | 2023 | — | flat |
| 30 | Bhutan | 0 1000 t | 2023 | — | flat |
| 30 | Botswana | 0 1000 t | 2023 | — | flat |
| 30 | Canada | 0 1000 t | 2023 | — | flat |
| 30 | Cameroon | 0 1000 t | 2023 | — | flat |
| 30 | Colombia | 0 1000 t | 2023 | down 100.0% | falling |
| 30 | Cuba | 0 1000 t | 2019 | — | flat |
| 30 | Cyprus | 0 1000 t | 2023 | — | flat |
| 30 | Germany | 0 1000 t | 2023 | — | flat |
| 30 | Denmark | 0 1000 t | 2023 | — | flat |
| 30 | Algeria | 0 1000 t | 2023 | — | flat |
| 30 | Egypt | 0 1000 t | 2023 | — | flat |
| 30 | Spain | 0 1000 t | 2023 | — | flat |
| 30 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 30 | Finland | 0 1000 t | 2023 | — | flat |
| 30 | France | 0 1000 t | 2023 | — | flat |
| 30 | Gabon | 0 1000 t | 2023 | — | flat |
| 30 | Georgia | 0 1000 t | 2019 | — | flat |
| 30 | Ghana | 0 1000 t | 2019 | — | flat |
| 30 | Grenada | 0 1000 t | 2023 | — | flat |
| 30 | Guyana | 0 1000 t | 2023 | — | flat |
| 30 | Honduras | 0 1000 t | 2023 | — | flat |
| 30 | Croatia | 0 1000 t | 2023 | — | flat |
| 30 | Israel | 0 1000 t | 2023 | — | volatile |
| 30 | Jordan | 0 1000 t | 2023 | — | flat |
| 30 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 30 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 30 | Libya | 0 1000 t | 2023 | — | flat |
| 30 | Malta | 0 1000 t | 2023 | — | flat |
| 30 | Mauritius | 0 1000 t | 2023 | — | flat |
| 30 | Malawi | 0 1000 t | 2023 | — | flat |
| 30 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 30 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 30 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 30 | Norway | 0 1000 t | 2023 | — | flat |
| 30 | Nepal | 0 1000 t | 2023 | — | volatile |
| 30 | Pakistan | 0 1000 t | 2019 | — | flat |
| 30 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 30 | Portugal | 0 1000 t | 2018 | — | flat |
| 30 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 30 | Qatar | 0 1000 t | 2023 | — | flat |
| 30 | Suriname | 0 1000 t | 2023 | — | flat |
| 30 | Slovakia | 0 1000 t | 2023 | — | flat |
| 30 | Slovenia | 0 1000 t | 2023 | — | flat |
| 30 | Sweden | 0 1000 t | 2023 | — | flat |
| 30 | Eswatini | 0 1000 t | 2023 | — | flat |
| 30 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 30 | Samoa | 0 1000 t | 2023 | — | flat |
| 30 | Yemen | 0 1000 t | 2023 | — | flat |
| 30 | Zambia | 0 1000 t | 2019 | — | flat |
| 30 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 30 | Melanesia | 0 1000 t | 2023 | — | flat |
| 30 | Polynesia | 0 1000 t | 2023 | — | flat |
| 30 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 30 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 30 | Türkiye | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,250 1000 t
- Asia 750 1000 t
- Eastern Asia 620 1000 t
- Africa 449 1000 t
- Western Africa 382 1000 t
- Southern Asia 114 1000 t
- Net Food Importing Developing Countries (NFIDCs) 113 1000 t
- Least Developed Countries (LDCs) 75 1000 t
- Americas 47 1000 t
- Low Income Food Deficit Countries (LIFDCs) 44 1000 t
- Middle Africa 40 1000 t
- Central America 31 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.