Pepper — 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
Pepper — Export quantity is currently reported for 160 countries. The highest value is 172 1000 t in Viet Nam; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 2.55 1000 t.
Over the past decade 9 countries rose and 16 fell. The largest increase was in United Arab Emirates (up 1,900.0%), and the largest decrease in Bulgaria (down 100.0%).
Pepper — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 172 1000 t | 2023 | up 29.3% | rising |
| 2 | Brazil | 81 1000 t | 2023 | up 161.3% | rising |
| 3 | Indonesia | 24 1000 t | 2023 | down 50.0% | falling |
| 4 | United Arab Emirates | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 5 | India | 15 1000 t | 2023 | down 61.5% | falling |
| 6 | Sri Lanka | 14 1000 t | 2023 | down 33.3% | rising |
| 7 | Germany | 13 1000 t | 2023 | unchanged | rising |
| 7 | Netherlands (Kingdom of the) | 13 1000 t | 2023 | up 18.2% | flat |
| 9 | Malaysia | 6 1000 t | 2023 | down 50.0% | falling |
| 10 | France | 5 1000 t | 2023 | up 66.7% | rising |
| 10 | Madagascar | 5 1000 t | 2023 | up 150.0% | rising |
| 12 | China | 4 1000 t | 2023 | up 100.0% | flat |
| 12 | China, mainland | 4 1000 t | 2023 | up 100.0% | rising |
| 14 | Spain | 3 1000 t | 2023 | up 50.0% | rising |
| 15 | Austria | 2 1000 t | 2023 | unchanged | rising |
| 15 | Kenya | 2 1000 t | 2023 | — | volatile |
| 15 | Poland | 2 1000 t | 2023 | unchanged | rising |
| 15 | Zambia | 2 1000 t | 2023 | — | volatile |
| 15 | Türkiye | 2 1000 t | 2023 | — | volatile |
| 20 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 20 | Belgium | 1 1000 t | 2023 | unchanged | falling |
| 20 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 20 | Canada | 1 1000 t | 2023 | unchanged | rising |
| 20 | Czechia | 1 1000 t | 2023 | — | volatile |
| 20 | Ecuador | 1 1000 t | 2023 | unchanged | volatile |
| 20 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 20 | Honduras | 1 1000 t | 2023 | — | volatile |
| 20 | Italy | 1 1000 t | 2023 | down 50.0% | falling |
| 20 | Cambodia | 1 1000 t | 2023 | unchanged | volatile |
| 20 | Latvia | 1 1000 t | 2023 | — | volatile |
| 20 | Mexico | 1 1000 t | 2023 | down 85.7% | falling |
| 20 | Romania | 1 1000 t | 2023 | — | volatile |
| 20 | Sweden | 1 1000 t | 2023 | — | volatile |
| 20 | Thailand | 1 1000 t | 2023 | — | volatile |
| 20 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 20 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 20 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 20 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | unchanged | flat |
| 39 | Angola | 0 1000 t | 2022 | — | flat |
| 39 | Albania | 0 1000 t | 2023 | — | flat |
| 39 | Argentina | 0 1000 t | 2023 | — | flat |
| 39 | Armenia | 0 1000 t | 2023 | — | flat |
| 39 | Antigua and Barbuda | 0 1000 t | 2020 | — | flat |
| 39 | Australia | 0 1000 t | 2023 | — | volatile |
| 39 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 39 | Bulgaria | 0 1000 t | 2023 | down 100.0% | falling |
| 39 | Bahrain | 0 1000 t | 2023 | — | flat |
| 39 | Bahamas | 0 1000 t | 2021 | — | flat |
| 39 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 39 | Belarus | 0 1000 t | 2023 | — | flat |
| 39 | Belize | 0 1000 t | 2023 | — | flat |
| 39 | Barbados | 0 1000 t | 2023 | — | flat |
| 39 | Botswana | 0 1000 t | 2023 | — | flat |
| 39 | Switzerland | 0 1000 t | 2023 | — | flat |
| 39 | Chile | 0 1000 t | 2023 | — | flat |
| 39 | Cameroon | 0 1000 t | 2023 | — | flat |
| 39 | Congo | 0 1000 t | 2023 | — | flat |
| 39 | Colombia | 0 1000 t | 2023 | — | flat |
| 39 | Comoros | 0 1000 t | 2022 | — | flat |
| 39 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 39 | Cuba | 0 1000 t | 2019 | — | flat |
| 39 | Cyprus | 0 1000 t | 2023 | — | flat |
| 39 | Djibouti | 0 1000 t | 2023 | — | flat |
| 39 | Denmark | 0 1000 t | 2023 | — | flat |
| 39 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 39 | Algeria | 0 1000 t | 2023 | — | flat |
| 39 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Estonia | 0 1000 t | 2023 | — | flat |
| 39 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Finland | 0 1000 t | 2023 | — | flat |
| 39 | Fiji | 0 1000 t | 2023 | — | flat |
| 39 | Gabon | 0 1000 t | 2022 | — | flat |
| 39 | Georgia | 0 1000 t | 2023 | — | flat |
| 39 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Guinea | 0 1000 t | 2023 | — | flat |
| 39 | Gambia | 0 1000 t | 2023 | — | flat |
| 39 | Greece | 0 1000 t | 2023 | — | flat |
| 39 | Grenada | 0 1000 t | 2023 | — | flat |
| 39 | Guyana | 0 1000 t | 2023 | — | flat |
| 39 | Croatia | 0 1000 t | 2023 | — | flat |
| 39 | Hungary | 0 1000 t | 2023 | — | flat |
| 39 | Ireland | 0 1000 t | 2023 | — | flat |
| 39 | Iraq | 0 1000 t | 2023 | — | flat |
| 39 | Iceland | 0 1000 t | 2023 | — | flat |
| 39 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Jamaica | 0 1000 t | 2023 | — | flat |
| 39 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 39 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 39 | Saint Kitts and Nevis | 0 1000 t | 2015 | — | flat |
| 39 | Kuwait | 0 1000 t | 2023 | — | flat |
| 39 | Lebanon | 0 1000 t | 2023 | — | flat |
| 39 | Libya | 0 1000 t | 2023 | — | flat |
| 39 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 39 | Lesotho | 0 1000 t | 2022 | — | flat |
| 39 | Lithuania | 0 1000 t | 2023 | — | flat |
| 39 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 39 | Morocco | 0 1000 t | 2023 | — | flat |
| 39 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 39 | Malta | 0 1000 t | 2022 | — | flat |
| 39 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 39 | Montenegro | 0 1000 t | 2020 | — | flat |
| 39 | Mozambique | 0 1000 t | 2023 | — | flat |
| 39 | Mauritius | 0 1000 t | 2023 | — | flat |
| 39 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Namibia | 0 1000 t | 2023 | — | volatile |
| 39 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 39 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Nigeria | 0 1000 t | 2023 | — | flat |
| 39 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 39 | Norway | 0 1000 t | 2023 | — | flat |
| 39 | Nepal | 0 1000 t | 2023 | — | flat |
| 39 | New Zealand | 0 1000 t | 2023 | — | flat |
| 39 | Oman | 0 1000 t | 2023 | — | flat |
| 39 | Pakistan | 0 1000 t | 2023 | — | flat |
| 39 | Panama | 0 1000 t | 2023 | — | flat |
| 39 | Peru | 0 1000 t | 2023 | — | volatile |
| 39 | Philippines | 0 1000 t | 2023 | — | flat |
| 39 | Papua New Guinea | 0 1000 t | 2021 | — | flat |
| 39 | Portugal | 0 1000 t | 2023 | — | flat |
| 39 | Paraguay | 0 1000 t | 2023 | — | flat |
| 39 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 39 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Senegal | 0 1000 t | 2023 | — | flat |
| 39 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 39 | El Salvador | 0 1000 t | 2023 | — | flat |
| 39 | Serbia | 0 1000 t | 2023 | — | flat |
| 39 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 39 | Suriname | 0 1000 t | 2018 | — | flat |
| 39 | Slovakia | 0 1000 t | 2023 | — | flat |
| 39 | Slovenia | 0 1000 t | 2023 | — | flat |
| 39 | Eswatini | 0 1000 t | 2023 | — | flat |
| 39 | Seychelles | 0 1000 t | 2019 | — | flat |
| 39 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 39 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 39 | Tunisia | 0 1000 t | 2023 | — | flat |
| 39 | Uganda | 0 1000 t | 2023 | — | volatile |
| 39 | Ukraine | 0 1000 t | 2023 | — | flat |
| 39 | Uruguay | 0 1000 t | 2023 | — | flat |
| 39 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 39 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 39 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 39 | Samoa | 0 1000 t | 2019 | — | flat |
| 39 | Yemen | 0 1000 t | 2023 | — | flat |
| 39 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 39 | Melanesia | 0 1000 t | 2023 | — | flat |
| 39 | Polynesia | 0 1000 t | 2023 | — | flat |
| 39 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 39 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 39 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 39 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 39 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 39 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 39 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2021 | — | flat |
| 39 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 39 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 39 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 39 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 39 | China, Taiwan Province 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 418 1000 t
- Asia 264 1000 t
- South-eastern Asia 204 1000 t
- Americas 94 1000 t
- South America 81 1000 t
- Europe 46 1000 t
- European Union (27) 45 1000 t
- Western Europe 34 1000 t
- Southern Asia 33 1000 t
- Net Food Importing Developing Countries (NFIDCs) 29 1000 t
- Western Asia 22 1000 t
- Africa 13 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.