Offals, Edible — Import quantity 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
179
Highest
1,434 1000 t
China
Lowest
0 1000 t
Micronesia (Federated States of)
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,830
What the numbers show
Offals, Edible — Import quantity is currently reported for 179 countries. The highest value is 1,434 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 2 1000 t, and the mean is 37.35 1000 t.
Over the past decade 54 countries rose and 37 fell. The largest increase was in Sweden (up 4,550.0%), and the largest decrease in Afghanistan (down 100.0%).
Offals, Edible — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,434 1000 t | 2023 | down 6.9% | flat |
| 2 | China, mainland | 1,136 1000 t | 2023 | up 35.9% | rising |
| 3 | Netherlands (Kingdom of the) | 397 1000 t | 2023 | up 120.6% | rising |
| 4 | Philippines | 388 1000 t | 2023 | up 351.2% | volatile |
| 5 | Viet Nam | 307 1000 t | 2023 | up 2,970.0% | volatile |
| 6 | Mexico | 267 1000 t | 2023 | up 10.8% | flat |
| 6 | China, Hong Kong SAR | 267 1000 t | 2023 | down 60.4% | falling |
| 8 | Belgium | 192 1000 t | 2023 | up 61.3% | rising |
| 9 | Côte d'Ivoire | 185 1000 t | 2023 | up 270.0% | rising |
| 10 | Egypt | 158 1000 t | 2023 | down 22.5% | volatile |
| 11 | Germany | 144 1000 t | 2023 | up 0.7% | rising |
| 12 | France | 143 1000 t | 2023 | up 58.9% | rising |
| 13 | Republic of Korea | 132 1000 t | 2023 | up 149.1% | rising |
| 14 | Democratic Republic of the Congo | 106 1000 t | 2023 | up 657.1% | volatile |
| 15 | Sweden | 93 1000 t | 2023 | up 4,550.0% | volatile |
| 16 | Indonesia | 66 1000 t | 2023 | up 633.3% | rising |
| 17 | Italy | 64 1000 t | 2023 | up 73.0% | rising |
| 18 | Caribbean | 63 1000 t | 2023 | up 231.6% | volatile |
| 19 | Russian Federation | 62 1000 t | 2023 | down 70.5% | volatile |
| 20 | United Kingdom of Great Britain and Northern Ireland | 60 1000 t | 2023 | down 4.8% | flat |
| 21 | Libya | 54 1000 t | 2023 | — | volatile |
| 22 | Poland | 50 1000 t | 2023 | up 316.7% | rising |
| 23 | Congo | 47 1000 t | 2023 | up 370.0% | volatile |
| 23 | Thailand | 47 1000 t | 2023 | up 42.4% | rising |
| 25 | Liberia | 44 1000 t | 2023 | up 1,366.7% | volatile |
| 26 | Angola | 43 1000 t | 2023 | — | volatile |
| 26 | Austria | 43 1000 t | 2023 | up 87.0% | rising |
| 28 | Denmark | 41 1000 t | 2023 | down 45.3% | falling |
| 29 | Canada | 40 1000 t | 2023 | up 37.9% | rising |
| 30 | Ghana | 37 1000 t | 2023 | up 2.8% | rising |
| 31 | Dominican Republic | 36 1000 t | 2023 | — | volatile |
| 32 | Spain | 35 1000 t | 2023 | up 150.0% | rising |
| 33 | Romania | 30 1000 t | 2023 | down 11.8% | falling |
| 34 | China, Taiwan Province of | 27 1000 t | 2023 | unchanged | falling |
| 35 | Peru | 24 1000 t | 2023 | up 60.0% | rising |
| 36 | Greece | 22 1000 t | 2023 | up 57.1% | rising |
| 36 | Hungary | 22 1000 t | 2023 | down 24.1% | falling |
| 38 | Czechia | 20 1000 t | 2023 | down 13.0% | falling |
| 38 | Malaysia | 20 1000 t | 2023 | down 9.1% | falling |
| 40 | Bulgaria | 19 1000 t | 2023 | down 5.0% | falling |
| 41 | Cambodia | 18 1000 t | 2023 | up 1,700.0% | volatile |
| 42 | Saudi Arabia | 17 1000 t | 2023 | up 13.3% | rising |
| 43 | United Arab Emirates | 13 1000 t | 2023 | up 116.7% | rising |
| 43 | Colombia | 13 1000 t | 2023 | up 85.7% | rising |
| 43 | Ukraine | 13 1000 t | 2023 | down 59.4% | volatile |
| 43 | Timor-Leste | 13 1000 t | 2023 | — | volatile |
| 47 | Haiti | 12 1000 t | 2023 | up 140.0% | rising |
| 48 | Gabon | 11 1000 t | 2023 | up 22.2% | rising |
| 49 | Senegal | 10 1000 t | 2023 | up 400.0% | volatile |
| 50 | Brazil | 9 1000 t | 2023 | up 200.0% | volatile |
| 51 | Jamaica | 8 1000 t | 2023 | up 14.3% | rising |
| 52 | Chile | 7 1000 t | 2023 | up 600.0% | volatile |
| 52 | Portugal | 7 1000 t | 2023 | unchanged | falling |
| 52 | Melanesia | 7 1000 t | 2023 | down 30.0% | falling |
| 55 | Estonia | 6 1000 t | 2023 | up 50.0% | rising |
| 55 | Lesotho | 6 1000 t | 2023 | up 50.0% | volatile |
| 55 | Lithuania | 6 1000 t | 2023 | down 33.3% | falling |
| 55 | Latvia | 6 1000 t | 2023 | down 33.3% | falling |
| 55 | North Macedonia | 6 1000 t | 2023 | down 14.3% | falling |
| 55 | Sierra Leone | 6 1000 t | 2023 | — | volatile |
| 55 | Slovenia | 6 1000 t | 2023 | up 200.0% | rising |
| 55 | Lao People's Democratic Republic | 6 1000 t | 2023 | — | volatile |
| 63 | Albania | 5 1000 t | 2023 | up 400.0% | volatile |
| 63 | Guinea | 5 1000 t | 2023 | up 66.7% | rising |
| 63 | Panama | 5 1000 t | 2023 | up 25.0% | rising |
| 63 | Papua New Guinea | 5 1000 t | 2023 | down 37.5% | falling |
| 67 | Switzerland | 4 1000 t | 2023 | down 76.5% | falling |
| 67 | Croatia | 4 1000 t | 2023 | up 33.3% | rising |
| 67 | Ireland | 4 1000 t | 2023 | unchanged | falling |
| 67 | Namibia | 4 1000 t | 2023 | up 300.0% | volatile |
| 67 | Slovakia | 4 1000 t | 2023 | unchanged | volatile |
| 67 | China, Macao SAR | 4 1000 t | 2023 | up 100.0% | volatile |
| 73 | Bosnia and Herzegovina | 3 1000 t | 2023 | down 50.0% | falling |
| 73 | Finland | 3 1000 t | 2023 | up 50.0% | volatile |
| 73 | Georgia | 3 1000 t | 2023 | up 200.0% | rising |
| 73 | Honduras | 3 1000 t | 2023 | down 25.0% | rising |
| 73 | Kuwait | 3 1000 t | 2023 | up 200.0% | rising |
| 73 | Mozambique | 3 1000 t | 2023 | up 200.0% | volatile |
| 73 | El Salvador | 3 1000 t | 2023 | up 200.0% | rising |
| 73 | Trinidad and Tobago | 3 1000 t | 2023 | up 50.0% | rising |
| 81 | Armenia | 2 1000 t | 2023 | unchanged | rising |
| 81 | Costa Rica | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Fiji | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Iraq | 2 1000 t | 2023 | — | volatile |
| 81 | Israel | 2 1000 t | 2023 | down 50.0% | rising |
| 81 | Kazakhstan | 2 1000 t | 2023 | down 50.0% | falling |
| 81 | Mauritius | 2 1000 t | 2023 | unchanged | falling |
| 81 | New Zealand | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Uruguay | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Uzbekistan | 2 1000 t | 2023 | down 75.0% | volatile |
| 81 | Australia and New Zealand | 2 1000 t | 2023 | unchanged | rising |
| 92 | Bahrain | 1 1000 t | 2023 | — | falling |
| 92 | Bahamas | 1 1000 t | 2023 | unchanged | flat |
| 92 | Belarus | 1 1000 t | 2023 | down 83.3% | volatile |
| 92 | Bhutan | 1 1000 t | 2023 | — | volatile |
| 92 | Botswana | 1 1000 t | 2023 | unchanged | volatile |
| 92 | Cameroon | 1 1000 t | 2023 | down 66.7% | volatile |
| 92 | Cuba | 1 1000 t | 2019 | unchanged | volatile |
| 92 | Gambia | 1 1000 t | 2023 | — | volatile |
| 92 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 92 | Jordan | 1 1000 t | 2023 | down 50.0% | falling |
| 92 | Saint Lucia | 1 1000 t | 2023 | unchanged | volatile |
| 92 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 92 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 92 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 92 | Oman | 1 1000 t | 2023 | — | volatile |
| 92 | Paraguay | 1 1000 t | 2023 | unchanged | volatile |
| 92 | French Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 92 | Qatar | 1 1000 t | 2023 | — | flat |
| 92 | Serbia | 1 1000 t | 2023 | unchanged | falling |
| 92 | Eswatini | 1 1000 t | 2023 | unchanged | volatile |
| 92 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 92 | Tunisia | 1 1000 t | 2023 | unchanged | rising |
| 92 | Cabo Verde | 1 1000 t | 2023 | — | volatile |
| 92 | Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 92 | Republic of Moldova | 1 1000 t | 2023 | down 50.0% | rising |
| 117 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Argentina | 0 1000 t | 2023 | — | volatile |
| 117 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 117 | Australia | 0 1000 t | 2023 | — | volatile |
| 117 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 117 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 117 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 117 | Belize | 0 1000 t | 2023 | — | flat |
| 117 | Barbados | 0 1000 t | 2023 | — | volatile |
| 117 | Comoros | 0 1000 t | 2023 | — | volatile |
| 117 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 117 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Ecuador | 0 1000 t | 2023 | down 100.0% | falling |
| 117 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 117 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 117 | Grenada | 0 1000 t | 2023 | — | flat |
| 117 | Guyana | 0 1000 t | 2023 | — | flat |
| 117 | India | 0 1000 t | 2021 | — | flat |
| 117 | Iceland | 0 1000 t | 2023 | — | flat |
| 117 | Kenya | 0 1000 t | 2023 | — | flat |
| 117 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 117 | Kiribati | 0 1000 t | 2023 | — | volatile |
| 117 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 117 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 117 | Morocco | 0 1000 t | 2023 | — | flat |
| 117 | Madagascar | 0 1000 t | 2023 | — | flat |
| 117 | Maldives | 0 1000 t | 2023 | — | flat |
| 117 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 117 | Malta | 0 1000 t | 2023 | — | flat |
| 117 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 117 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 117 | Mauritania | 0 1000 t | 2023 | — | flat |
| 117 | Malawi | 0 1000 t | 2023 | — | flat |
| 117 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Niger | 0 1000 t | 2023 | — | flat |
| 117 | Nigeria | 0 1000 t | 2023 | — | flat |
| 117 | Norway | 0 1000 t | 2023 | — | volatile |
| 117 | Nepal | 0 1000 t | 2023 | — | flat |
| 117 | Nauru | 0 1000 t | 2023 | — | flat |
| 117 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Rwanda | 0 1000 t | 2023 | — | flat |
| 117 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 117 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 117 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Seychelles | 0 1000 t | 2023 | — | flat |
| 117 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 117 | Uganda | 0 1000 t | 2023 | — | flat |
| 117 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 117 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 117 | Samoa | 0 1000 t | 2023 | — | flat |
| 117 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Zimbabwe | 0 1000 t | 2019 | — | volatile |
| 117 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 117 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 117 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 117 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 117 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 117 | Türkiye | 0 1000 t | 2023 | — | flat |
| 117 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 117 | Micronesia (Federated States of) | 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 5,558 1000 t
- Asia 2,601 1000 t
- Eastern Asia 1,681 1000 t
- Europe 1,522 1000 t
- European Union (27) 1,365 1000 t
- Western Europe 924 1000 t
- Africa 872 1000 t
- South-eastern Asia 865 1000 t
- Net Food Importing Developing Countries (NFIDCs) 725 1000 t
- Americas 554 1000 t
- Western Africa 290 1000 t
- Central America 282 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.