Fats, Animals, Raw — 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
Fats, Animals, Raw — Losses is currently reported for 100 countries. The highest value is 506 1000 t in United States; the lowest is 0 1000 t in South Africa.
The median across all reporting countries is 2 1000 t, and the mean is 15.35 1000 t.
Over the past decade 37 countries rose and 13 fell. The largest increase was in United States (up 2,563.2%), and the largest decrease in Madagascar (down 100.0%).
Fats, Animals, Raw — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 506 1000 t | 2023 | up 2,563.2% | volatile |
| 2 | China | 219 1000 t | 2023 | up 5.3% | flat |
| 3 | China, mainland | 214 1000 t | 2023 | up 5.9% | flat |
| 4 | India | 136 1000 t | 2023 | up 166.7% | rising |
| 5 | Germany | 47 1000 t | 2023 | up 571.4% | volatile |
| 6 | Brazil | 33 1000 t | 2023 | up 17.9% | rising |
| 7 | Australia and New Zealand | 26 1000 t | 2023 | up 52.9% | rising |
| 8 | Argentina | 23 1000 t | 2023 | up 15.0% | rising |
| 9 | Poland | 21 1000 t | 2023 | up 600.0% | volatile |
| 10 | Australia | 18 1000 t | 2023 | up 38.5% | rising |
| 10 | Spain | 18 1000 t | 2023 | up 157.1% | rising |
| 12 | Malaysia | 16 1000 t | 2023 | up 1,500.0% | volatile |
| 13 | Vietnam | 15 1000 t | 2023 | up 36.4% | rising |
| 13 | Viet Nam | 15 1000 t | 2023 | up 36.4% | rising |
| 15 | Mexico | 14 1000 t | 2023 | up 27.3% | rising |
| 16 | Philippines | 12 1000 t | 2023 | down 7.7% | flat |
| 17 | France | 11 1000 t | 2023 | unchanged | flat |
| 17 | Pakistan | 11 1000 t | 2023 | up 57.1% | rising |
| 19 | United Kingdom | 10 1000 t | 2023 | down 37.5% | falling |
| 19 | United Kingdom of Great Britain and Northern Ireland | 10 1000 t | 2023 | down 37.5% | falling |
| 21 | Russia | 8 1000 t | 2023 | up 33.3% | rising |
| 21 | Russian Federation | 8 1000 t | 2023 | up 33.3% | rising |
| 23 | Ireland | 7 1000 t | 2023 | up 40.0% | rising |
| 23 | New Zealand | 7 1000 t | 2023 | up 40.0% | rising |
| 25 | Peru | 6 1000 t | 2023 | up 20.0% | rising |
| 25 | Republic of Korea | 6 1000 t | 2023 | up 500.0% | volatile |
| 27 | Denmark | 5 1000 t | 2023 | down 16.7% | volatile |
| 27 | Saudi Arabia | 5 1000 t | 2023 | up 66.7% | rising |
| 27 | China, Taiwan Province of | 5 1000 t | 2023 | unchanged | falling |
| 30 | Colombia | 4 1000 t | 2023 | up 33.3% | rising |
| 30 | Italy | 4 1000 t | 2023 | up 300.0% | rising |
| 30 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | up 100.0% | rising |
| 33 | Bangladesh | 3 1000 t | 2023 | unchanged | flat |
| 33 | Canada | 3 1000 t | 2023 | up 200.0% | rising |
| 33 | Ecuador | 3 1000 t | 2023 | unchanged | flat |
| 33 | Portugal | 3 1000 t | 2023 | — | volatile |
| 33 | Thailand | 3 1000 t | 2023 | unchanged | flat |
| 33 | Turkey | 3 1000 t | 2023 | up 200.0% | volatile |
| 33 | Uruguay | 3 1000 t | 2023 | unchanged | rising |
| 33 | Uzbekistan | 3 1000 t | 2023 | unchanged | rising |
| 33 | Iran (Islamic Republic of) | 3 1000 t | 2023 | unchanged | flat |
| 33 | Türkiye | 3 1000 t | 2023 | up 200.0% | volatile |
| 43 | Austria | 2 1000 t | 2023 | unchanged | rising |
| 43 | Belarus | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Switzerland | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Chile | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Czechia | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Egypt | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Indonesia | 2 1000 t | 2023 | down 33.3% | flat |
| 43 | Nigeria | 2 1000 t | 2023 | unchanged | flat |
| 43 | Syria | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Syrian Arab Republic | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Afghanistan | 1 1000 t | 2023 | unchanged | flat |
| 54 | Angola | 1 1000 t | 2023 | unchanged | flat |
| 54 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 54 | Belgium | 1 1000 t | 2023 | down 50.0% | falling |
| 54 | Burkina Faso | 1 1000 t | 2023 | unchanged | flat |
| 54 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 54 | Cameroon | 1 1000 t | 2023 | — | volatile |
| 54 | Cuba | 1 1000 t | 2019 | unchanged | flat |
| 54 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 54 | Algeria | 1 1000 t | 2023 | unchanged | flat |
| 54 | Ethiopia | 1 1000 t | 2023 | unchanged | flat |
| 54 | Finland | 1 1000 t | 2023 | unchanged | flat |
| 54 | Greece | 1 1000 t | 2023 | — | volatile |
| 54 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 54 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 54 | Kazakhstan | 1 1000 t | 2023 | unchanged | flat |
| 54 | Kenya | 1 1000 t | 2023 | down 50.0% | falling |
| 54 | Kyrgyzstan | 1 1000 t | 2023 | — | volatile |
| 54 | Cambodia | 1 1000 t | 2023 | unchanged | flat |
| 54 | Laos | 1 1000 t | 2023 | — | volatile |
| 54 | Morocco | 1 1000 t | 2023 | unchanged | volatile |
| 54 | Myanmar | 1 1000 t | 2023 | down 66.7% | falling |
| 54 | Mongolia | 1 1000 t | 2023 | unchanged | volatile |
| 54 | Malawi | 1 1000 t | 2023 | — | volatile |
| 54 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 54 | Norway | 1 1000 t | 2023 | — | volatile |
| 54 | Paraguay | 1 1000 t | 2023 | unchanged | rising |
| 54 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 54 | Turkmenistan | 1 1000 t | 2023 | unchanged | flat |
| 54 | Uganda | 1 1000 t | 2023 | unchanged | flat |
| 54 | Ukraine | 1 1000 t | 2023 | unchanged | flat |
| 54 | Yemen | 1 1000 t | 2023 | unchanged | flat |
| 54 | Zambia | 1 1000 t | 2023 | unchanged | flat |
| 54 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 54 | Caribbean | 1 1000 t | 2023 | down 50.0% | falling |
| 54 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 50.0% | falling |
| 54 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 54 | United Republic of Tanzania | 1 1000 t | 2023 | unchanged | flat |
| 54 | Democratic People's Republic of Korea | 1 1000 t | 2018 | — | volatile |
| 93 | Israel | 0 1000 t | 2023 | — | volatile |
| 93 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 93 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 93 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 93 | Romania | 0 1000 t | 2023 | — | volatile |
| 93 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 93 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 93 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,275 1000 t
- Americas 606 1000 t
- Northern America 509 1000 t
- United States of America 506 1000 t
- Asia 464 1000 t
- Eastern Asia 238 1000 t
- Southern Asia 155 1000 t
- Europe 154 1000 t
- European Union (27) 130 1000 t
- South America 79 1000 t
- Western Europe 68 1000 t
- South-Eastern Asia 51 1000 t
- Net Food Importing Developing Countries (NFIDCs) 48 1000 t
- Eastern Europe 37 1000 t
- Southern Europe 27 1000 t
- Oceania 26 1000 t
- Low Income Food Deficit Countries (LIFDCs) 26 1000 t
- Africa 25 1000 t
- Least Developed Countries (LDCs) 23 1000 t
- Northern Europe 23 1000 t
- Land Locked Developing Countries (LLDCs) 23 1000 t
- Central America 16 1000 t
- Western Asia 14 1000 t
- Eastern Africa 9 1000 t
- Central Asia 7 1000 t
- Northern Africa 6 1000 t
- Western Africa 5 1000 t
- Middle Africa 4 1000 t
- Small island developing States (SIDS) 2 1000 t
- Southern 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.