Offals, Edible — Export 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...
What the numbers show
Offals, Edible — Export quantity is currently reported for 92 countries. The highest value is 737 1000 t in United States; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 4 1000 t, and the mean is 69.86 1000 t.
Over the past decade 40 countries rose and 27 fell. The largest increase was in Poland (up 343.2%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Offals, Edible — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 737 1000 t | 2023 | up 11.2% | flat |
| 2 | Netherlands (Kingdom of the) | 624 1000 t | 2023 | up 47.9% | rising |
| 3 | Spain | 555 1000 t | 2023 | up 201.6% | rising |
| 4 | Poland | 492 1000 t | 2023 | up 343.2% | volatile |
| 5 | Germany | 453 1000 t | 2023 | down 34.6% | falling |
| 6 | Australia and New Zealand | 280 1000 t | 2023 | up 4.5% | rising |
| 7 | Brazil | 259 1000 t | 2023 | up 32.8% | rising |
| 8 | China | 246 1000 t | 2023 | down 44.1% | volatile |
| 9 | China, Hong Kong SAR | 244 1000 t | 2023 | down 43.3% | volatile |
| 10 | Canada | 226 1000 t | 2023 | up 26.3% | rising |
| 11 | Australia | 222 1000 t | 2023 | up 9.9% | rising |
| 12 | France | 207 1000 t | 2023 | up 24.7% | rising |
| 13 | Denmark | 202 1000 t | 2023 | down 21.4% | falling |
| 14 | Belgium | 201 1000 t | 2023 | up 3.6% | rising |
| 15 | United Kingdom | 176 1000 t | 2023 | up 70.9% | rising |
| 15 | United Kingdom of Great Britain and Northern Ireland | 176 1000 t | 2023 | up 70.9% | rising |
| 17 | India | 137 1000 t | 2023 | up 153.7% | volatile |
| 18 | Argentina | 108 1000 t | 2023 | up 30.1% | rising |
| 19 | Ireland | 101 1000 t | 2023 | up 36.5% | rising |
| 20 | Uruguay | 99 1000 t | 2023 | up 280.8% | volatile |
| 21 | Austria | 88 1000 t | 2023 | up 14.3% | rising |
| 22 | Hungary | 69 1000 t | 2023 | up 81.6% | rising |
| 23 | Sweden | 68 1000 t | 2023 | up 70.0% | rising |
| 24 | Italy | 65 1000 t | 2023 | down 1.5% | falling |
| 25 | New Zealand | 58 1000 t | 2023 | down 12.1% | falling |
| 26 | Chile | 54 1000 t | 2023 | up 45.9% | rising |
| 27 | Paraguay | 37 1000 t | 2023 | up 117.6% | rising |
| 28 | Mexico | 25 1000 t | 2023 | up 177.8% | rising |
| 29 | Finland | 19 1000 t | 2023 | up 5.6% | rising |
| 30 | Portugal | 15 1000 t | 2023 | up 25.0% | rising |
| 30 | Bolivia (Plurinational State of) | 15 1000 t | 2023 | — | volatile |
| 32 | Switzerland | 13 1000 t | 2023 | down 35.0% | falling |
| 32 | South Africa | 13 1000 t | 2023 | up 30.0% | rising |
| 34 | Nicaragua | 10 1000 t | 2023 | up 42.9% | rising |
| 34 | Romania | 10 1000 t | 2023 | up 25.0% | rising |
| 36 | Czechia | 9 1000 t | 2023 | down 10.0% | flat |
| 36 | Greece | 9 1000 t | 2023 | up 12.5% | falling |
| 38 | Russia | 8 1000 t | 2023 | down 78.4% | volatile |
| 38 | Russian Federation | 8 1000 t | 2023 | down 78.4% | volatile |
| 40 | Lithuania | 6 1000 t | 2023 | down 57.1% | falling |
| 40 | Pakistan | 6 1000 t | 2023 | down 62.5% | falling |
| 40 | Slovakia | 6 1000 t | 2023 | up 50.0% | rising |
| 40 | Slovenia | 6 1000 t | 2023 | up 100.0% | rising |
| 44 | Croatia | 5 1000 t | 2023 | up 66.7% | rising |
| 44 | Norway | 5 1000 t | 2023 | up 66.7% | rising |
| 46 | Colombia | 4 1000 t | 2023 | up 100.0% | volatile |
| 46 | Estonia | 4 1000 t | 2023 | up 33.3% | rising |
| 46 | Latvia | 4 1000 t | 2023 | up 33.3% | rising |
| 46 | Malaysia | 4 1000 t | 2023 | up 300.0% | volatile |
| 46 | Panama | 4 1000 t | 2023 | down 33.3% | volatile |
| 51 | Bulgaria | 3 1000 t | 2023 | down 25.0% | falling |
| 51 | Serbia | 3 1000 t | 2023 | up 50.0% | rising |
| 51 | Turkey | 3 1000 t | 2023 | up 50.0% | rising |
| 51 | Ukraine | 3 1000 t | 2023 | up 50.0% | volatile |
| 51 | Türkiye | 3 1000 t | 2023 | up 50.0% | rising |
| 56 | United Arab Emirates | 2 1000 t | 2023 | — | volatile |
| 56 | Costa Rica | 2 1000 t | 2023 | unchanged | falling |
| 56 | Cyprus | 2 1000 t | 2023 | unchanged | rising |
| 56 | Kyrgyzstan | 2 1000 t | 2022 | — | volatile |
| 60 | Algeria | 1 1000 t | 2017 | — | volatile |
| 60 | Egypt | 1 1000 t | 2023 | — | volatile |
| 60 | Ethiopia | 1 1000 t | 2023 | unchanged | falling |
| 60 | Iceland | 1 1000 t | 2023 | down 50.0% | falling |
| 60 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 60 | Namibia | 1 1000 t | 2023 | down 80.0% | volatile |
| 60 | Thailand | 1 1000 t | 2023 | down 80.0% | volatile |
| 60 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 60 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 60 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | — | volatile |
| 60 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 60 | China, mainland | 1 1000 t | 2023 | down 90.0% | volatile |
| 72 | Angola | 0 1000 t | 2022 | — | volatile |
| 72 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Jordan | 0 1000 t | 2021 | — | volatile |
| 72 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 72 | Laos | 0 1000 t | 2022 | — | volatile |
| 72 | Luxembourg | 0 1000 t | 2023 | down 100.0% | flat |
| 72 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 72 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Oman | 0 1000 t | 2023 | — | volatile |
| 72 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 72 | Senegal | 0 1000 t | 2022 | — | volatile |
| 72 | Uganda | 0 1000 t | 2023 | — | volatile |
| 72 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 72 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Lao People's Democratic Republic | 0 1000 t | 2022 | — | volatile |
| 72 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,713 1000 t
- Europe 3,432 1000 t
- European Union (27) 3,226 1000 t
- Western Europe 1,587 1000 t
- Americas 1,579 1000 t
- Northern America 963 1000 t
- United States of America 737 1000 t
- Southern Europe 659 1000 t
- Eastern Europe 601 1000 t
- Northern Europe 585 1000 t
- South America 575 1000 t
- Asia 404 1000 t
- Oceania 280 1000 t
- Eastern Asia 247 1000 t
- Southern Asia 144 1000 t
- Land Locked Developing Countries (LLDCs) 54 1000 t
- Central America 41 1000 t
- Africa 18 1000 t
- Southern Africa 14 1000 t
- Low Income Food Deficit Countries (LIFDCs) 12 1000 t
- Net Food Importing Developing Countries (NFIDCs) 11 1000 t
- Western Asia 7 1000 t
- South-Eastern Asia 5 1000 t
- Least Developed Countries (LDCs) 2 1000 t
- Eastern Africa 2 1000 t
- Northern Africa 2 1000 t
- Central Asia 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- Western Africa 0 1000 t
- Middle Africa 0 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.