Offals, Edible — 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...
Countries reporting
180
Highest
337 1000 t
India
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,804
What the numbers show
Offals, Edible — Losses is currently reported for 180 countries. The highest value is 337 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 10.67 1000 t.
Over the past decade 40 countries rose and 36 fell. The largest increase was in Panama (up 500.0%), and the largest decrease in Lebanon (down 100.0%).
Offals, Edible — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 337 1000 t | 2023 | up 180.8% | rising |
| 2 | China | 284 1000 t | 2023 | up 10.9% | rising |
| 3 | China, mainland | 280 1000 t | 2023 | up 13.8% | rising |
| 4 | Brazil | 164 1000 t | 2023 | up 24.2% | rising |
| 5 | Viet Nam | 78 1000 t | 2023 | up 100.0% | rising |
| 6 | Argentina | 57 1000 t | 2023 | up 21.3% | rising |
| 7 | Mexico | 46 1000 t | 2023 | up 21.1% | rising |
| 8 | France | 40 1000 t | 2023 | up 2.6% | flat |
| 9 | Spain | 39 1000 t | 2023 | up 21.9% | rising |
| 10 | Pakistan | 35 1000 t | 2023 | up 59.1% | rising |
| 11 | Philippines | 34 1000 t | 2023 | down 5.6% | falling |
| 12 | Australia and New Zealand | 25 1000 t | 2023 | down 24.2% | falling |
| 13 | Republic of Korea | 24 1000 t | 2023 | up 26.3% | rising |
| 14 | Uzbekistan | 17 1000 t | 2023 | up 41.7% | rising |
| 15 | Bangladesh | 16 1000 t | 2023 | up 6.7% | rising |
| 16 | New Zealand | 15 1000 t | 2023 | down 6.2% | falling |
| 16 | Saudi Arabia | 15 1000 t | 2023 | up 15.4% | falling |
| 18 | Ethiopia | 14 1000 t | 2023 | up 40.0% | rising |
| 18 | Poland | 14 1000 t | 2023 | up 27.3% | rising |
| 20 | Colombia | 13 1000 t | 2023 | down 7.1% | falling |
| 20 | Italy | 13 1000 t | 2023 | down 7.1% | falling |
| 22 | Türkiye | 12 1000 t | 2023 | up 20.0% | rising |
| 23 | Nigeria | 11 1000 t | 2023 | unchanged | rising |
| 23 | United Kingdom of Great Britain and Northern Ireland | 11 1000 t | 2023 | up 10.0% | rising |
| 25 | Australia | 10 1000 t | 2023 | down 41.2% | falling |
| 25 | Uruguay | 10 1000 t | 2023 | up 42.9% | rising |
| 25 | Zimbabwe | 10 1000 t | 2023 | up 400.0% | volatile |
| 25 | United Republic of Tanzania | 10 1000 t | 2023 | up 100.0% | rising |
| 29 | Ireland | 9 1000 t | 2023 | unchanged | flat |
| 29 | Mongolia | 9 1000 t | 2023 | up 125.0% | rising |
| 29 | Peru | 9 1000 t | 2023 | up 12.5% | rising |
| 29 | Thailand | 9 1000 t | 2023 | down 10.0% | falling |
| 29 | Iran (Islamic Republic of) | 9 1000 t | 2023 | down 25.0% | falling |
| 34 | Germany | 8 1000 t | 2023 | down 77.8% | volatile |
| 34 | Sweden | 8 1000 t | 2023 | up 300.0% | volatile |
| 36 | Belgium | 7 1000 t | 2023 | down 22.2% | falling |
| 36 | Indonesia | 7 1000 t | 2023 | unchanged | rising |
| 36 | Kenya | 7 1000 t | 2023 | down 22.2% | falling |
| 39 | Belarus | 6 1000 t | 2023 | down 25.0% | falling |
| 39 | Ecuador | 6 1000 t | 2023 | down 14.3% | falling |
| 39 | Panama | 6 1000 t | 2023 | up 500.0% | volatile |
| 39 | Paraguay | 6 1000 t | 2023 | up 20.0% | rising |
| 39 | Bolivia (Plurinational State of) | 6 1000 t | 2023 | up 50.0% | rising |
| 39 | Netherlands (Kingdom of the) | 6 1000 t | 2023 | down 33.3% | falling |
| 45 | Chile | 5 1000 t | 2023 | down 16.7% | falling |
| 45 | Algeria | 5 1000 t | 2023 | up 25.0% | rising |
| 45 | Egypt | 5 1000 t | 2023 | down 50.0% | falling |
| 45 | Kazakhstan | 5 1000 t | 2023 | up 25.0% | rising |
| 45 | Morocco | 5 1000 t | 2023 | down 28.6% | falling |
| 45 | Nepal | 5 1000 t | 2023 | unchanged | rising |
| 45 | Romania | 5 1000 t | 2023 | down 28.6% | rising |
| 45 | Uganda | 5 1000 t | 2023 | unchanged | rising |
| 45 | Caribbean | 5 1000 t | 2023 | unchanged | falling |
| 54 | Azerbaijan | 4 1000 t | 2023 | unchanged | rising |
| 54 | Burkina Faso | 4 1000 t | 2023 | up 33.3% | rising |
| 54 | Myanmar | 4 1000 t | 2023 | down 60.0% | falling |
| 54 | Portugal | 4 1000 t | 2023 | down 20.0% | falling |
| 54 | Tajikistan | 4 1000 t | 2023 | up 300.0% | volatile |
| 54 | China, Taiwan Province of | 4 1000 t | 2023 | down 55.6% | falling |
| 60 | Afghanistan | 3 1000 t | 2023 | down 25.0% | falling |
| 60 | Angola | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Canada | 3 1000 t | 2023 | unchanged | flat |
| 60 | Cameroon | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Denmark | 3 1000 t | 2023 | down 57.1% | falling |
| 60 | Israel | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Malawi | 3 1000 t | 2023 | up 200.0% | rising |
| 60 | Senegal | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Turkmenistan | 3 1000 t | 2023 | unchanged | flat |
| 60 | Ukraine | 3 1000 t | 2023 | down 40.0% | falling |
| 60 | Yemen | 3 1000 t | 2023 | down 25.0% | rising |
| 60 | Zambia | 3 1000 t | 2023 | unchanged | rising |
| 60 | Syrian Arab Republic | 3 1000 t | 2023 | down 25.0% | falling |
| 60 | Lao People's Democratic Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 74 | United Arab Emirates | 2 1000 t | 2023 | up 100.0% | rising |
| 74 | Switzerland | 2 1000 t | 2023 | down 33.3% | falling |
| 74 | Cuba | 2 1000 t | 2019 | unchanged | flat |
| 74 | Czechia | 2 1000 t | 2023 | unchanged | flat |
| 74 | Guinea | 2 1000 t | 2023 | up 100.0% | rising |
| 74 | Guatemala | 2 1000 t | 2023 | unchanged | rising |
| 74 | Croatia | 2 1000 t | 2023 | unchanged | flat |
| 74 | Kyrgyzstan | 2 1000 t | 2023 | unchanged | flat |
| 74 | Cambodia | 2 1000 t | 2023 | unchanged | flat |
| 74 | Niger | 2 1000 t | 2023 | up 100.0% | rising |
| 74 | Nicaragua | 2 1000 t | 2023 | unchanged | flat |
| 85 | Albania | 1 1000 t | 2023 | unchanged | flat |
| 85 | Armenia | 1 1000 t | 2023 | unchanged | flat |
| 85 | Austria | 1 1000 t | 2023 | down 66.7% | falling |
| 85 | Bulgaria | 1 1000 t | 2023 | down 50.0% | falling |
| 85 | Botswana | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 85 | Dominican Republic | 1 1000 t | 2023 | down 50.0% | falling |
| 85 | Finland | 1 1000 t | 2023 | unchanged | flat |
| 85 | Georgia | 1 1000 t | 2023 | unchanged | flat |
| 85 | Ghana | 1 1000 t | 2023 | unchanged | rising |
| 85 | Greece | 1 1000 t | 2023 | unchanged | falling |
| 85 | Honduras | 1 1000 t | 2023 | unchanged | flat |
| 85 | Haiti | 1 1000 t | 2023 | unchanged | flat |
| 85 | Hungary | 1 1000 t | 2023 | unchanged | falling |
| 85 | Iraq | 1 1000 t | 2023 | unchanged | falling |
| 85 | Jordan | 1 1000 t | 2023 | unchanged | flat |
| 85 | Libya | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 85 | Madagascar | 1 1000 t | 2023 | down 75.0% | falling |
| 85 | Mozambique | 1 1000 t | 2023 | unchanged | rising |
| 85 | Mauritania | 1 1000 t | 2023 | unchanged | flat |
| 85 | Malaysia | 1 1000 t | 2023 | unchanged | flat |
| 85 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Norway | 1 1000 t | 2023 | unchanged | falling |
| 85 | Oman | 1 1000 t | 2023 | unchanged | rising |
| 85 | Papua New Guinea | 1 1000 t | 2023 | — | rising |
| 85 | Rwanda | 1 1000 t | 2023 | unchanged | flat |
| 85 | Slovenia | 1 1000 t | 2023 | unchanged | flat |
| 85 | Tunisia | 1 1000 t | 2023 | unchanged | flat |
| 85 | Melanesia | 1 1000 t | 2023 | unchanged | flat |
| 85 | Democratic Republic of the Congo | 1 1000 t | 2023 | unchanged | flat |
| 85 | Russian Federation | 1 1000 t | 2023 | down 91.7% | volatile |
| 85 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | unchanged | flat |
| 85 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 85 | Democratic People's Republic of Korea | 1 1000 t | 2018 | unchanged | flat |
| 120 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 120 | Bahrain | 0 1000 t | 2023 | — | flat |
| 120 | Bahamas | 0 1000 t | 2023 | — | flat |
| 120 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 120 | Belize | 0 1000 t | 2023 | — | flat |
| 120 | Barbados | 0 1000 t | 2023 | — | flat |
| 120 | Bhutan | 0 1000 t | 2023 | — | flat |
| 120 | Congo | 0 1000 t | 2023 | — | flat |
| 120 | Comoros | 0 1000 t | 2023 | — | flat |
| 120 | Cyprus | 0 1000 t | 2023 | — | flat |
| 120 | Djibouti | 0 1000 t | 2023 | — | flat |
| 120 | Estonia | 0 1000 t | 2023 | — | flat |
| 120 | Fiji | 0 1000 t | 2023 | — | flat |
| 120 | Gabon | 0 1000 t | 2023 | — | flat |
| 120 | Gambia | 0 1000 t | 2023 | — | flat |
| 120 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 120 | Grenada | 0 1000 t | 2023 | — | flat |
| 120 | Guyana | 0 1000 t | 2023 | — | flat |
| 120 | Iceland | 0 1000 t | 2023 | — | flat |
| 120 | Jamaica | 0 1000 t | 2023 | — | flat |
| 120 | Kiribati | 0 1000 t | 2023 | — | flat |
| 120 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 120 | Kuwait | 0 1000 t | 2023 | — | flat |
| 120 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 120 | Liberia | 0 1000 t | 2023 | — | flat |
| 120 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 120 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 120 | Lesotho | 0 1000 t | 2023 | — | flat |
| 120 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 120 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 120 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 120 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 120 | Malta | 0 1000 t | 2023 | — | flat |
| 120 | Montenegro | 0 1000 t | 2023 | — | flat |
| 120 | Mauritius | 0 1000 t | 2023 | — | flat |
| 120 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 120 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 120 | Qatar | 0 1000 t | 2023 | — | flat |
| 120 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 120 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 120 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 120 | Serbia | 0 1000 t | 2021 | — | flat |
| 120 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 120 | Suriname | 0 1000 t | 2023 | — | flat |
| 120 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 120 | Eswatini | 0 1000 t | 2023 | — | flat |
| 120 | Seychelles | 0 1000 t | 2023 | — | flat |
| 120 | Tonga | 0 1000 t | 2023 | — | flat |
| 120 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 120 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 120 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 120 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 120 | Samoa | 0 1000 t | 2023 | — | flat |
| 120 | Micronesia | 0 1000 t | 2023 | — | flat |
| 120 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 120 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 120 | Polynesia | 0 1000 t | 2023 | — | flat |
| 120 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 120 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 120 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 120 | China, Macao SAR | 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 1,845 1000 t
- Asia 947 1000 t
- Americas 495 1000 t
- Southern Asia 406 1000 t
- Eastern Asia 326 1000 t
- South America 276 1000 t
- Net Food Importing Developing Countries (NFIDCs) 218 1000 t
- Europe 194 1000 t
- Africa 184 1000 t
- European Union (27) 168 1000 t
- Northern America 157 1000 t
- Low Income Food Deficit Countries (LIFDCs) 156 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.