Oilcrops, 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
Oilcrops, Other — Losses is currently reported for 105 countries. The highest value is 352 1000 t in India; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 1 1000 t, and the mean is 9.7 1000 t.
Over the past decade 22 countries rose and 13 fell. The largest increase was in Ghana (up 1,900.0%), and the largest decrease in Belarus (down 100.0%).
Oilcrops, Other — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 352 1000 t | 2023 | up 9.0% | falling |
| 2 | Nigeria | 114 1000 t | 2023 | up 3.6% | rising |
| 3 | China | 89 1000 t | 2023 | up 17.1% | falling |
| 4 | China, mainland | 88 1000 t | 2023 | up 15.8% | falling |
| 5 | Russian Federation | 82 1000 t | 2023 | up 331.6% | volatile |
| 6 | Kazakhstan | 48 1000 t | 2023 | up 33.3% | rising |
| 7 | Ghana | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 8 | Thailand | 19 1000 t | 2023 | up 5.6% | falling |
| 9 | Ethiopia | 16 1000 t | 2023 | down 30.4% | falling |
| 9 | Indonesia | 16 1000 t | 2023 | down 20.0% | falling |
| 11 | Pakistan | 13 1000 t | 2023 | up 30.0% | rising |
| 12 | Burkina Faso | 12 1000 t | 2023 | up 200.0% | rising |
| 13 | Canada | 11 1000 t | 2023 | down 54.2% | falling |
| 13 | France | 11 1000 t | 2023 | up 37.5% | rising |
| 13 | Mozambique | 11 1000 t | 2023 | unchanged | flat |
| 13 | Democratic Republic of the Congo | 11 1000 t | 2023 | up 22.2% | rising |
| 17 | Nepal | 8 1000 t | 2023 | down 70.4% | volatile |
| 18 | Malaysia | 7 1000 t | 2023 | down 50.0% | falling |
| 19 | Poland | 6 1000 t | 2023 | up 200.0% | rising |
| 20 | Mexico | 5 1000 t | 2023 | down 28.6% | volatile |
| 20 | Ukraine | 5 1000 t | 2023 | up 66.7% | falling |
| 20 | Iran (Islamic Republic of) | 5 1000 t | 2023 | down 44.4% | falling |
| 20 | Türkiye | 5 1000 t | 2023 | unchanged | falling |
| 20 | Côte d'Ivoire | 5 1000 t | 2023 | up 66.7% | rising |
| 20 | United Republic of Tanzania | 5 1000 t | 2023 | up 25.0% | rising |
| 26 | Argentina | 4 1000 t | 2023 | down 20.0% | falling |
| 26 | Cameroon | 4 1000 t | 2023 | up 33.3% | flat |
| 26 | Czechia | 4 1000 t | 2023 | — | volatile |
| 26 | Kenya | 4 1000 t | 2023 | up 33.3% | rising |
| 26 | Niger | 4 1000 t | 2023 | up 100.0% | rising |
| 31 | Uzbekistan | 3 1000 t | 2023 | up 50.0% | falling |
| 31 | Republic of Korea | 3 1000 t | 2023 | up 50.0% | rising |
| 31 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | unchanged | rising |
| 34 | Bangladesh | 2 1000 t | 2023 | up 100.0% | rising |
| 34 | Germany | 2 1000 t | 2023 | unchanged | flat |
| 34 | Spain | 2 1000 t | 2023 | — | volatile |
| 34 | Slovakia | 2 1000 t | 2023 | — | volatile |
| 34 | Tajikistan | 2 1000 t | 2023 | — | volatile |
| 39 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 39 | Angola | 1 1000 t | 2023 | down 50.0% | falling |
| 39 | Australia | 1 1000 t | 2023 | unchanged | flat |
| 39 | Austria | 1 1000 t | 2023 | unchanged | rising |
| 39 | Azerbaijan | 1 1000 t | 2023 | unchanged | flat |
| 39 | Brazil | 1 1000 t | 2023 | unchanged | volatile |
| 39 | Egypt | 1 1000 t | 2023 | unchanged | falling |
| 39 | Hungary | 1 1000 t | 2023 | — | volatile |
| 39 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 39 | Myanmar | 1 1000 t | 2023 | unchanged | flat |
| 39 | Philippines | 1 1000 t | 2023 | unchanged | flat |
| 39 | Uganda | 1 1000 t | 2023 | unchanged | flat |
| 39 | Zimbabwe | 1 1000 t | 2023 | unchanged | flat |
| 39 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 39 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | flat |
| 54 | Armenia | 0 1000 t | 2023 | — | flat |
| 54 | Belgium | 0 1000 t | 2023 | — | volatile |
| 54 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 54 | Bahrain | 0 1000 t | 2023 | — | flat |
| 54 | Bosnia and Herzegovina | 0 1000 t | 2019 | — | flat |
| 54 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Switzerland | 0 1000 t | 2023 | — | flat |
| 54 | Chile | 0 1000 t | 2023 | — | flat |
| 54 | Congo | 0 1000 t | 2023 | — | flat |
| 54 | Cyprus | 0 1000 t | 2018 | — | flat |
| 54 | Denmark | 0 1000 t | 2023 | — | flat |
| 54 | Dominican Republic | 0 1000 t | 2019 | — | flat |
| 54 | Algeria | 0 1000 t | 2023 | — | flat |
| 54 | Ecuador | 0 1000 t | 2023 | — | flat |
| 54 | Estonia | 0 1000 t | 2023 | — | flat |
| 54 | Greece | 0 1000 t | 2023 | — | volatile |
| 54 | Croatia | 0 1000 t | 2023 | — | flat |
| 54 | Haiti | 0 1000 t | 2023 | — | flat |
| 54 | Iraq | 0 1000 t | 2023 | — | flat |
| 54 | Israel | 0 1000 t | 2023 | — | flat |
| 54 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Cambodia | 0 1000 t | 2023 | — | flat |
| 54 | Lebanon | 0 1000 t | 2023 | — | flat |
| 54 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 54 | Latvia | 0 1000 t | 2023 | — | flat |
| 54 | Morocco | 0 1000 t | 2023 | — | flat |
| 54 | Madagascar | 0 1000 t | 2023 | — | flat |
| 54 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 54 | Mauritania | 0 1000 t | 2023 | — | flat |
| 54 | Malawi | 0 1000 t | 2022 | — | flat |
| 54 | Nicaragua | 0 1000 t | 2019 | — | flat |
| 54 | New Zealand | 0 1000 t | 2023 | — | flat |
| 54 | Peru | 0 1000 t | 2023 | — | flat |
| 54 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 54 | Romania | 0 1000 t | 2023 | — | flat |
| 54 | Senegal | 0 1000 t | 2023 | — | flat |
| 54 | El Salvador | 0 1000 t | 2019 | — | flat |
| 54 | Serbia | 0 1000 t | 2023 | — | flat |
| 54 | Slovenia | 0 1000 t | 2023 | — | flat |
| 54 | Sweden | 0 1000 t | 2023 | — | flat |
| 54 | Turkmenistan | 0 1000 t | 2019 | — | flat |
| 54 | Tunisia | 0 1000 t | 2023 | — | flat |
| 54 | Uruguay | 0 1000 t | 2023 | — | flat |
| 54 | Samoa | 0 1000 t | 2023 | — | flat |
| 54 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 54 | Polynesia | 0 1000 t | 2023 | — | flat |
| 54 | Caribbean | 0 1000 t | 2023 | — | flat |
| 54 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 54 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 54 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 54 | Netherlands (Kingdom of the) | 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 1,018 1000 t
- Asia 578 1000 t
- Southern Asia 381 1000 t
- Africa 284 1000 t
- Western Africa 200 1000 t
- Net Food Importing Developing Countries (NFIDCs) 168 1000 t
- Low Income Food Deficit Countries (LIFDCs) 156 1000 t
- Land Locked Developing Countries (LLDCs) 155 1000 t
- Least Developed Countries (LDCs) 144 1000 t
- Europe 122 1000 t
- Eastern Europe 101 1000 t
- Eastern Asia 92 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.