Cereals, 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
Cereals, other — Losses is currently reported for 94 countries. The highest value is 303 1000 t in Ethiopia; 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 13.78 1000 t.
Over the past decade 17 countries rose and 21 fell. The largest increase was in Belgium (up 1,200.0%), and the largest decrease in Bolivia (Plurinational State of) (down 100.0%).
Cereals, other — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ethiopia | 303 1000 t | 2023 | up 45.0% | rising |
| 2 | Poland | 248 1000 t | 2023 | down 15.9% | falling |
| 3 | France | 123 1000 t | 2023 | down 0.8% | flat |
| 4 | China | 69 1000 t | 2023 | down 4.2% | falling |
| 4 | China, mainland | 69 1000 t | 2023 | down 4.2% | falling |
| 6 | Guinea | 67 1000 t | 2023 | up 19.6% | rising |
| 7 | Russian Federation | 64 1000 t | 2023 | up 88.2% | rising |
| 8 | Belarus | 62 1000 t | 2023 | unchanged | falling |
| 9 | Germany | 56 1000 t | 2023 | up 5.7% | rising |
| 10 | Romania | 20 1000 t | 2023 | down 20.0% | rising |
| 11 | Canada | 18 1000 t | 2023 | down 10.0% | flat |
| 11 | Türkiye | 18 1000 t | 2023 | up 200.0% | rising |
| 13 | Kazakhstan | 14 1000 t | 2023 | up 7.7% | rising |
| 14 | Belgium | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 15 | Nigeria | 12 1000 t | 2023 | unchanged | flat |
| 15 | Thailand | 12 1000 t | 2023 | unchanged | rising |
| 17 | Czechia | 10 1000 t | 2023 | up 100.0% | rising |
| 18 | Ukraine | 9 1000 t | 2023 | up 800.0% | volatile |
| 19 | Austria | 7 1000 t | 2023 | down 36.4% | falling |
| 19 | Lithuania | 7 1000 t | 2023 | down 30.0% | falling |
| 21 | Bulgaria | 6 1000 t | 2023 | up 200.0% | volatile |
| 21 | Brazil | 6 1000 t | 2023 | unchanged | falling |
| 21 | Australia and New Zealand | 6 1000 t | 2023 | down 33.3% | volatile |
| 24 | Australia | 5 1000 t | 2023 | down 37.5% | volatile |
| 24 | Spain | 5 1000 t | 2023 | down 79.2% | falling |
| 24 | United Republic of Tanzania | 5 1000 t | 2023 | up 25.0% | rising |
| 27 | Peru | 4 1000 t | 2023 | unchanged | rising |
| 28 | Argentina | 3 1000 t | 2023 | up 50.0% | rising |
| 28 | Chile | 3 1000 t | 2023 | down 40.0% | falling |
| 28 | Finland | 3 1000 t | 2023 | down 40.0% | falling |
| 28 | Hungary | 3 1000 t | 2023 | down 76.9% | volatile |
| 28 | Italy | 3 1000 t | 2023 | — | volatile |
| 28 | Serbia | 3 1000 t | 2023 | up 50.0% | volatile |
| 28 | Sweden | 3 1000 t | 2023 | up 50.0% | rising |
| 28 | Republic of Korea | 3 1000 t | 2023 | up 200.0% | rising |
| 36 | Denmark | 2 1000 t | 2023 | down 33.3% | falling |
| 36 | Greece | 2 1000 t | 2023 | — | volatile |
| 36 | Croatia | 2 1000 t | 2023 | down 33.3% | falling |
| 36 | Mexico | 2 1000 t | 2023 | up 100.0% | volatile |
| 36 | Slovakia | 2 1000 t | 2023 | unchanged | rising |
| 36 | Tunisia | 2 1000 t | 2023 | down 33.3% | flat |
| 36 | Uzbekistan | 2 1000 t | 2023 | down 71.4% | volatile |
| 36 | Côte d'Ivoire | 2 1000 t | 2023 | up 100.0% | rising |
| 36 | United Kingdom of Great Britain and Northern Ireland | 2 1000 t | 2023 | — | volatile |
| 45 | Armenia | 1 1000 t | 2023 | unchanged | flat |
| 45 | Burkina Faso | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Bosnia and Herzegovina | 1 1000 t | 2023 | down 50.0% | rising |
| 45 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 45 | Estonia | 1 1000 t | 2023 | unchanged | falling |
| 45 | Georgia | 1 1000 t | 2023 | — | volatile |
| 45 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 45 | Latvia | 1 1000 t | 2023 | unchanged | flat |
| 45 | Myanmar | 1 1000 t | 2023 | unchanged | flat |
| 45 | Niger | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Nepal | 1 1000 t | 2023 | unchanged | rising |
| 45 | New Zealand | 1 1000 t | 2023 | — | volatile |
| 45 | Oman | 1 1000 t | 2023 | — | volatile |
| 45 | Portugal | 1 1000 t | 2023 | down 66.7% | rising |
| 45 | Slovenia | 1 1000 t | 2023 | unchanged | rising |
| 60 | Bangladesh | 0 1000 t | 2019 | — | flat |
| 60 | Bahrain | 0 1000 t | 2023 | — | flat |
| 60 | Bhutan | 0 1000 t | 2023 | — | flat |
| 60 | Botswana | 0 1000 t | 2023 | — | flat |
| 60 | Congo | 0 1000 t | 2023 | — | flat |
| 60 | Colombia | 0 1000 t | 2023 | — | flat |
| 60 | Cyprus | 0 1000 t | 2023 | — | flat |
| 60 | Algeria | 0 1000 t | 2023 | — | flat |
| 60 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 60 | Gambia | 0 1000 t | 2023 | — | flat |
| 60 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 60 | Guatemala | 0 1000 t | 2019 | — | flat |
| 60 | Ireland | 0 1000 t | 2023 | — | flat |
| 60 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 60 | Morocco | 0 1000 t | 2023 | — | flat |
| 60 | Madagascar | 0 1000 t | 2019 | — | flat |
| 60 | Malta | 0 1000 t | 2019 | — | flat |
| 60 | Mongolia | 0 1000 t | 2023 | — | flat |
| 60 | Norway | 0 1000 t | 2023 | — | flat |
| 60 | Qatar | 0 1000 t | 2023 | — | flat |
| 60 | Rwanda | 0 1000 t | 2023 | — | flat |
| 60 | Senegal | 0 1000 t | 2023 | — | flat |
| 60 | Solomon Islands | 0 1000 t | 2020 | — | flat |
| 60 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 60 | Tajikistan | 0 1000 t | 2019 | — | flat |
| 60 | Turkmenistan | 0 1000 t | 2019 | — | flat |
| 60 | Uruguay | 0 1000 t | 2023 | — | flat |
| 60 | Yemen | 0 1000 t | 2019 | — | flat |
| 60 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 60 | Melanesia | 0 1000 t | 2020 | — | flat |
| 60 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 60 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 60 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 60 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 60 | 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 1,318 1000 t
- Europe 661 1000 t
- European Union (27) 518 1000 t
- Africa 486 1000 t
- Net Food Importing Developing Countries (NFIDCs) 480 1000 t
- Low Income Food Deficit Countries (LIFDCs) 473 1000 t
- Least Developed Countries (LDCs) 471 1000 t
- Eastern Europe 423 1000 t
- Land Locked Developing Countries (LLDCs) 411 1000 t
- Eastern Africa 309 1000 t
- Western Europe 201 1000 t
- Asia 125 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.