Lemons, Limes and products — 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
Lemons, Limes and products — Losses is currently reported for 97 countries. The highest value is 319 1000 t in India; the lowest is 0 1000 t in Tajikistan.
The median across all reporting countries is 3 1000 t, and the mean is 26.44 1000 t.
Over the past decade 51 countries rose and 5 fell. The largest increase was in Zimbabwe (up 500.0%), and the largest decrease in Cuba (down 100.0%).
Lemons, Limes and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 319 1000 t | 2023 | up 51.2% | rising |
| 2 | Mexico | 275 1000 t | 2023 | up 53.6% | rising |
| 3 | China | 262 1000 t | 2023 | up 18.6% | rising |
| 4 | China, mainland | 261 1000 t | 2023 | up 18.1% | rising |
| 5 | Brazil | 258 1000 t | 2023 | up 46.6% | rising |
| 6 | Argentina | 222 1000 t | 2023 | up 79.0% | rising |
| 7 | Turkey | 122 1000 t | 2023 | up 212.8% | rising |
| 7 | Türkiye | 122 1000 t | 2023 | up 212.8% | rising |
| 9 | United States | 89 1000 t | 2023 | up 34.8% | rising |
| 10 | South Africa | 61 1000 t | 2023 | up 177.3% | rising |
| 11 | Spain | 54 1000 t | 2023 | down 14.3% | falling |
| 12 | Colombia | 45 1000 t | 2023 | up 350.0% | volatile |
| 13 | Peru | 44 1000 t | 2023 | up 41.9% | rising |
| 14 | Iran (Islamic Republic of) | 42 1000 t | 2023 | up 16.7% | rising |
| 15 | Egypt | 28 1000 t | 2023 | up 12.0% | rising |
| 16 | Iraq | 23 1000 t | 2023 | up 283.3% | volatile |
| 17 | Chile | 20 1000 t | 2023 | up 53.8% | rising |
| 18 | France | 17 1000 t | 2023 | up 21.4% | rising |
| 18 | Guatemala | 17 1000 t | 2023 | up 13.3% | rising |
| 20 | Italy | 16 1000 t | 2023 | up 33.3% | rising |
| 21 | Syria | 15 1000 t | 2023 | unchanged | rising |
| 21 | Syrian Arab Republic | 15 1000 t | 2023 | unchanged | rising |
| 23 | Thailand | 14 1000 t | 2023 | up 27.3% | rising |
| 24 | United Arab Emirates | 12 1000 t | 2023 | up 33.3% | rising |
| 25 | Caribbean | 10 1000 t | 2023 | up 11.1% | falling |
| 25 | Venezuela (Bolivarian Republic of) | 10 1000 t | 2023 | up 42.9% | rising |
| 27 | Germany | 9 1000 t | 2023 | up 125.0% | rising |
| 27 | Lebanon | 9 1000 t | 2023 | unchanged | rising |
| 29 | Bangladesh | 8 1000 t | 2023 | up 33.3% | rising |
| 29 | Algeria | 8 1000 t | 2023 | up 14.3% | rising |
| 29 | Greece | 8 1000 t | 2023 | up 33.3% | rising |
| 29 | Pakistan | 8 1000 t | 2023 | up 14.3% | rising |
| 29 | Portugal | 8 1000 t | 2023 | up 166.7% | rising |
| 34 | Dominican Republic | 7 1000 t | 2023 | up 250.0% | rising |
| 34 | United Kingdom | 7 1000 t | 2023 | up 16.7% | rising |
| 34 | Poland | 7 1000 t | 2023 | up 40.0% | rising |
| 34 | United Kingdom of Great Britain and Northern Ireland | 7 1000 t | 2023 | up 16.7% | rising |
| 38 | Zimbabwe | 6 1000 t | 2023 | up 500.0% | volatile |
| 39 | Nepal | 5 1000 t | 2023 | up 150.0% | rising |
| 39 | Tunisia | 5 1000 t | 2023 | up 25.0% | rising |
| 41 | Canada | 4 1000 t | 2023 | up 33.3% | rising |
| 41 | Ghana | 4 1000 t | 2023 | unchanged | flat |
| 41 | Jordan | 4 1000 t | 2023 | up 33.3% | rising |
| 41 | Kenya | 4 1000 t | 2023 | up 100.0% | volatile |
| 41 | Saudi Arabia | 4 1000 t | 2023 | up 300.0% | rising |
| 41 | Uruguay | 4 1000 t | 2023 | up 33.3% | rising |
| 47 | Honduras | 3 1000 t | 2023 | up 200.0% | rising |
| 47 | Kuwait | 3 1000 t | 2023 | unchanged | rising |
| 47 | Morocco | 3 1000 t | 2023 | up 50.0% | rising |
| 47 | Romania | 3 1000 t | 2023 | up 50.0% | rising |
| 47 | Yemen | 3 1000 t | 2023 | up 50.0% | rising |
| 47 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | up 50.0% | rising |
| 47 | Netherlands (Kingdom of the) | 3 1000 t | 2023 | up 50.0% | rising |
| 54 | Austria | 2 1000 t | 2023 | unchanged | flat |
| 54 | Belgium | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Bulgaria | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Hungary | 2 1000 t | 2023 | unchanged | rising |
| 54 | Israel | 2 1000 t | 2023 | unchanged | flat |
| 54 | Jamaica | 2 1000 t | 2023 | unchanged | flat |
| 54 | Libya | 2 1000 t | 2023 | unchanged | rising |
| 54 | Oman | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | El Salvador | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Albania | 1 1000 t | 2023 | — | volatile |
| 63 | Australia | 1 1000 t | 2023 | — | volatile |
| 63 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 63 | Bahrain | 1 1000 t | 2023 | — | flat |
| 63 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 63 | Denmark | 1 1000 t | 2023 | — | volatile |
| 63 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 63 | Guyana | 1 1000 t | 2023 | — | volatile |
| 63 | Ireland | 1 1000 t | 2023 | — | volatile |
| 63 | Laos | 1 1000 t | 2023 | — | volatile |
| 63 | Sri Lanka | 1 1000 t | 2023 | unchanged | rising |
| 63 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 63 | Malawi | 1 1000 t | 2023 | — | volatile |
| 63 | Malaysia | 1 1000 t | 2023 | unchanged | rising |
| 63 | New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 63 | Paraguay | 1 1000 t | 2023 | unchanged | flat |
| 63 | Qatar | 1 1000 t | 2023 | — | falling |
| 63 | Slovakia | 1 1000 t | 2023 | unchanged | flat |
| 63 | Slovenia | 1 1000 t | 2023 | unchanged | rising |
| 63 | Sweden | 1 1000 t | 2023 | — | volatile |
| 63 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 63 | Democratic Republic of the Congo | 1 1000 t | 2023 | unchanged | flat |
| 63 | Republic of Korea | 1 1000 t | 2023 | unchanged | rising |
| 63 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 63 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 63 | United Republic of Tanzania | 1 1000 t | 2023 | unchanged | flat |
| 63 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | volatile |
| 90 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 90 | Cuba | 0 1000 t | 2019 | down 100.0% | falling |
| 90 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 90 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 90 | Philippines | 0 1000 t | 2023 | — | volatile |
| 90 | Rwanda | 0 1000 t | 2023 | down 100.0% | falling |
| 90 | Tajikistan | 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 2,200 1000 t
- Americas 1,010 1000 t
- Asia 875 1000 t
- South America 608 1000 t
- Southern Asia 383 1000 t
- Central America 301 1000 t
- Eastern Asia 270 1000 t
- Western Asia 204 1000 t
- Net Food Importing Developing Countries (NFIDCs) 184 1000 t
- Africa 165 1000 t
- Europe 148 1000 t
- European Union (27) 138 1000 t
- Northern America 92 1000 t
- Southern Europe 89 1000 t
- United States of America 89 1000 t
- Northern Africa 79 1000 t
- Low Income Food Deficit Countries (LIFDCs) 78 1000 t
- Least Developed Countries (LDCs) 61 1000 t
- Southern Africa 61 1000 t
- Western Europe 34 1000 t
- Land Locked Developing Countries (LLDCs) 24 1000 t
- South-Eastern Asia 17 1000 t
- Eastern Europe 15 1000 t
- Eastern Africa 15 1000 t
- Small island developing States (SIDS) 11 1000 t
- Northern Europe 10 1000 t
- Western Africa 8 1000 t
- Oceania 2 1000 t
- Central Asia 1 1000 t
- Middle 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.