Pepper — Stock Variation 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 — Stock Variation is currently reported for 177 countries. The highest value is 19 1000 t in Brazil; the lowest is -2 1000 t in Bangladesh.
The median across all reporting countries is 0 1000 t, and the mean is 0.3051 1000 t.
The gap between the highest and lowest reporting country is a factor of about 10.
Over the past decade 12 countries rose and 5 fell. The largest increase was in India (up 200.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Pepper — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 19 1000 t | 2023 | — | volatile |
| 2 | Iraq | 13 1000 t | 2023 | — | volatile |
| 3 | Indonesia | 6 1000 t | 2023 | up 100.0% | volatile |
| 4 | Viet Nam | 4 1000 t | 2023 | — | volatile |
| 5 | Burkina Faso | 3 1000 t | 2023 | — | volatile |
| 5 | India | 3 1000 t | 2023 | up 200.0% | volatile |
| 7 | Saudi Arabia | 2 1000 t | 2023 | — | volatile |
| 8 | Canada | 1 1000 t | 2023 | — | volatile |
| 8 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 8 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 8 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 8 | Thailand | 1 1000 t | 2023 | up 200.0% | volatile |
| 8 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 8 | Democratic People's Republic of Korea | 1 1000 t | 2018 | — | volatile |
| 15 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 15 | Angola | 0 1000 t | 2023 | — | flat |
| 15 | Albania | 0 1000 t | 2023 | — | flat |
| 15 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Argentina | 0 1000 t | 2023 | — | flat |
| 15 | Armenia | 0 1000 t | 2023 | — | flat |
| 15 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 15 | Australia | 0 1000 t | 2023 | — | flat |
| 15 | Austria | 0 1000 t | 2023 | — | volatile |
| 15 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 15 | Belgium | 0 1000 t | 2023 | — | volatile |
| 15 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 15 | Bahrain | 0 1000 t | 2023 | — | flat |
| 15 | Bahamas | 0 1000 t | 2023 | — | flat |
| 15 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 15 | Belarus | 0 1000 t | 2023 | — | flat |
| 15 | Belize | 0 1000 t | 2023 | — | flat |
| 15 | Barbados | 0 1000 t | 2023 | — | flat |
| 15 | Bhutan | 0 1000 t | 2023 | — | flat |
| 15 | Botswana | 0 1000 t | 2023 | — | flat |
| 15 | Switzerland | 0 1000 t | 2023 | — | flat |
| 15 | Chile | 0 1000 t | 2023 | — | flat |
| 15 | China | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Cameroon | 0 1000 t | 2023 | — | flat |
| 15 | Congo | 0 1000 t | 2023 | — | flat |
| 15 | Colombia | 0 1000 t | 2023 | — | flat |
| 15 | Comoros | 0 1000 t | 2023 | — | flat |
| 15 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 15 | Cuba | 0 1000 t | 2019 | — | flat |
| 15 | Cyprus | 0 1000 t | 2023 | — | flat |
| 15 | Czechia | 0 1000 t | 2023 | — | flat |
| 15 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Djibouti | 0 1000 t | 2023 | — | flat |
| 15 | Denmark | 0 1000 t | 2023 | — | flat |
| 15 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 15 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Spain | 0 1000 t | 2023 | — | flat |
| 15 | Estonia | 0 1000 t | 2023 | — | flat |
| 15 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 15 | Finland | 0 1000 t | 2023 | — | flat |
| 15 | Fiji | 0 1000 t | 2023 | — | flat |
| 15 | France | 0 1000 t | 2023 | — | volatile |
| 15 | Gabon | 0 1000 t | 2023 | — | flat |
| 15 | Georgia | 0 1000 t | 2023 | — | flat |
| 15 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Guinea | 0 1000 t | 2023 | — | flat |
| 15 | Gambia | 0 1000 t | 2023 | — | volatile |
| 15 | Greece | 0 1000 t | 2023 | — | volatile |
| 15 | Grenada | 0 1000 t | 2023 | — | flat |
| 15 | Guatemala | 0 1000 t | 2023 | — | flat |
| 15 | Guyana | 0 1000 t | 2023 | — | flat |
| 15 | Honduras | 0 1000 t | 2023 | — | volatile |
| 15 | Croatia | 0 1000 t | 2023 | — | flat |
| 15 | Haiti | 0 1000 t | 2023 | — | flat |
| 15 | Hungary | 0 1000 t | 2023 | — | flat |
| 15 | Ireland | 0 1000 t | 2023 | — | flat |
| 15 | Iceland | 0 1000 t | 2023 | — | flat |
| 15 | Israel | 0 1000 t | 2023 | — | flat |
| 15 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Jamaica | 0 1000 t | 2023 | — | flat |
| 15 | Jordan | 0 1000 t | 2023 | — | flat |
| 15 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 15 | Kenya | 0 1000 t | 2023 | — | flat |
| 15 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 15 | Kiribati | 0 1000 t | 2023 | — | flat |
| 15 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 15 | Kuwait | 0 1000 t | 2023 | — | flat |
| 15 | Lebanon | 0 1000 t | 2023 | — | flat |
| 15 | Liberia | 0 1000 t | 2023 | — | flat |
| 15 | Libya | 0 1000 t | 2023 | — | flat |
| 15 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 15 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Lithuania | 0 1000 t | 2023 | — | flat |
| 15 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 15 | Latvia | 0 1000 t | 2023 | — | flat |
| 15 | Morocco | 0 1000 t | 2023 | — | volatile |
| 15 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 15 | Maldives | 0 1000 t | 2023 | — | flat |
| 15 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 15 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 15 | Malta | 0 1000 t | 2023 | — | flat |
| 15 | Myanmar | 0 1000 t | 2023 | — | flat |
| 15 | Montenegro | 0 1000 t | 2023 | — | flat |
| 15 | Mongolia | 0 1000 t | 2023 | — | flat |
| 15 | Mozambique | 0 1000 t | 2023 | — | flat |
| 15 | Mauritania | 0 1000 t | 2023 | — | flat |
| 15 | Mauritius | 0 1000 t | 2023 | — | flat |
| 15 | Malawi | 0 1000 t | 2023 | — | flat |
| 15 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 15 | Namibia | 0 1000 t | 2023 | — | volatile |
| 15 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 15 | Niger | 0 1000 t | 2023 | — | flat |
| 15 | Nigeria | 0 1000 t | 2023 | — | flat |
| 15 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 15 | Norway | 0 1000 t | 2023 | — | flat |
| 15 | Nepal | 0 1000 t | 2023 | — | volatile |
| 15 | Nauru | 0 1000 t | 2023 | — | flat |
| 15 | New Zealand | 0 1000 t | 2023 | — | flat |
| 15 | Oman | 0 1000 t | 2023 | — | flat |
| 15 | Panama | 0 1000 t | 2023 | — | flat |
| 15 | Peru | 0 1000 t | 2023 | — | flat |
| 15 | Philippines | 0 1000 t | 2023 | — | volatile |
| 15 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 15 | Poland | 0 1000 t | 2023 | — | flat |
| 15 | Portugal | 0 1000 t | 2023 | — | flat |
| 15 | Paraguay | 0 1000 t | 2023 | — | flat |
| 15 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 15 | Qatar | 0 1000 t | 2023 | — | flat |
| 15 | Romania | 0 1000 t | 2023 | — | flat |
| 15 | Rwanda | 0 1000 t | 2023 | — | flat |
| 15 | Senegal | 0 1000 t | 2023 | — | volatile |
| 15 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 15 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 15 | El Salvador | 0 1000 t | 2023 | — | flat |
| 15 | Serbia | 0 1000 t | 2023 | — | flat |
| 15 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 15 | Suriname | 0 1000 t | 2023 | — | flat |
| 15 | Slovakia | 0 1000 t | 2023 | — | flat |
| 15 | Slovenia | 0 1000 t | 2023 | — | flat |
| 15 | Sweden | 0 1000 t | 2023 | — | flat |
| 15 | Eswatini | 0 1000 t | 2023 | — | flat |
| 15 | Seychelles | 0 1000 t | 2023 | — | flat |
| 15 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 15 | Tonga | 0 1000 t | 2023 | — | flat |
| 15 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 15 | Tunisia | 0 1000 t | 2023 | — | flat |
| 15 | Uganda | 0 1000 t | 2023 | — | flat |
| 15 | Ukraine | 0 1000 t | 2023 | — | flat |
| 15 | Uruguay | 0 1000 t | 2023 | — | flat |
| 15 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 15 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 15 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 15 | Samoa | 0 1000 t | 2023 | — | flat |
| 15 | Yemen | 0 1000 t | 2023 | — | flat |
| 15 | Zambia | 0 1000 t | 2023 | — | flat |
| 15 | Micronesia | 0 1000 t | 2023 | — | flat |
| 15 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 15 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 15 | Melanesia | 0 1000 t | 2023 | — | flat |
| 15 | Polynesia | 0 1000 t | 2023 | — | flat |
| 15 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 15 | Caribbean | 0 1000 t | 2023 | — | flat |
| 15 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 15 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 15 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 15 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 15 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 15 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 15 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 15 | China, mainland | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 15 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 15 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 15 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | up 100.0% | flat |
| 15 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 15 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 176 | Netherlands (Kingdom of the) | -1 1000 t | 2023 | — | volatile |
| 177 | Bangladesh | -2 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 55 1000 t
- Asia 29 1000 t
- Americas 22 1000 t
- South America 19 1000 t
- Western Asia 15 1000 t
- South-eastern Asia 12 1000 t
- Africa 5 1000 t
- Land Locked Developing Countries (LLDCs) 4 1000 t
- Low Income Food Deficit Countries (LIFDCs) 4 1000 t
- Northern America 3 1000 t
- Western Africa 3 1000 t
- Southern Asia 2 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.