Pepper — Food 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 — Food is currently reported for 107 countries. The highest value is 89 1000 t in Vietnam; the lowest is 0 1000 t in Syrian Arab Republic.
The median across all reporting countries is 1 1000 t, and the mean is 8.14 1000 t.
Over the past decade 30 countries rose and 22 fell. The largest increase was in Zimbabwe (up 1,900.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Pepper — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Vietnam | 89 1000 t | 2023 | — | volatile |
| 1 | Viet Nam | 89 1000 t | 2023 | — | volatile |
| 3 | India | 78 1000 t | 2023 | up 200.0% | volatile |
| 4 | Burkina Faso | 71 1000 t | 2023 | — | volatile |
| 5 | United States | 58 1000 t | 2023 | down 6.5% | rising |
| 6 | China | 41 1000 t | 2023 | up 13.9% | rising |
| 7 | Iraq | 38 1000 t | 2023 | — | volatile |
| 8 | Indonesia | 37 1000 t | 2023 | up 2.8% | falling |
| 8 | China, mainland | 37 1000 t | 2023 | up 15.6% | rising |
| 10 | Sri Lanka | 29 1000 t | 2023 | up 107.1% | rising |
| 11 | Malaysia | 28 1000 t | 2023 | up 75.0% | rising |
| 12 | Tajikistan | 22 1000 t | 2023 | — | volatile |
| 13 | Brazil | 21 1000 t | 2023 | up 110.0% | rising |
| 14 | Zimbabwe | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 15 | Mexico | 14 1000 t | 2023 | — | volatile |
| 16 | Pakistan | 12 1000 t | 2023 | up 100.0% | rising |
| 17 | United Kingdom | 10 1000 t | 2023 | down 16.7% | rising |
| 17 | United Kingdom of Great Britain and Northern Ireland | 10 1000 t | 2023 | down 16.7% | rising |
| 19 | Germany | 8 1000 t | 2023 | down 52.9% | falling |
| 19 | Morocco | 8 1000 t | 2023 | — | volatile |
| 21 | Canada | 7 1000 t | 2023 | up 40.0% | rising |
| 21 | Egypt | 7 1000 t | 2023 | unchanged | rising |
| 21 | Philippines | 7 1000 t | 2023 | up 40.0% | rising |
| 21 | Turkey | 7 1000 t | 2023 | up 133.3% | rising |
| 21 | Türkiye | 7 1000 t | 2023 | up 133.3% | rising |
| 26 | France | 6 1000 t | 2023 | unchanged | rising |
| 26 | Saudi Arabia | 6 1000 t | 2023 | up 20.0% | falling |
| 28 | Ghana | 5 1000 t | 2023 | up 66.7% | rising |
| 28 | Jordan | 5 1000 t | 2023 | — | volatile |
| 28 | Poland | 5 1000 t | 2023 | up 25.0% | rising |
| 28 | Thailand | 5 1000 t | 2023 | up 25.0% | rising |
| 32 | Ethiopia | 4 1000 t | 2023 | — | volatile |
| 32 | Australia and New Zealand | 4 1000 t | 2023 | up 33.3% | rising |
| 34 | Australia | 3 1000 t | 2023 | unchanged | flat |
| 34 | Italy | 3 1000 t | 2023 | up 50.0% | rising |
| 34 | Niger | 3 1000 t | 2023 | — | volatile |
| 34 | Rwanda | 3 1000 t | 2023 | up 50.0% | falling |
| 34 | Yemen | 3 1000 t | 2023 | up 200.0% | volatile |
| 34 | China, Taiwan Province of | 3 1000 t | 2023 | unchanged | rising |
| 40 | Argentina | 2 1000 t | 2023 | up 100.0% | rising |
| 40 | Austria | 2 1000 t | 2023 | up 100.0% | rising |
| 40 | Costa Rica | 2 1000 t | 2023 | up 100.0% | rising |
| 40 | Ecuador | 2 1000 t | 2023 | up 100.0% | volatile |
| 40 | Spain | 2 1000 t | 2023 | unchanged | falling |
| 40 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | rising |
| 40 | Peru | 2 1000 t | 2023 | up 100.0% | rising |
| 40 | Uganda | 2 1000 t | 2023 | unchanged | rising |
| 40 | Ukraine | 2 1000 t | 2023 | down 33.3% | falling |
| 40 | South Africa | 2 1000 t | 2023 | up 100.0% | volatile |
| 40 | Caribbean | 2 1000 t | 2023 | up 100.0% | rising |
| 40 | Iran (Islamic Republic of) | 2 1000 t | 2023 | up 100.0% | falling |
| 52 | Belgium | 1 1000 t | 2023 | down 50.0% | falling |
| 52 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 52 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 52 | Cote d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 52 | Czechia | 1 1000 t | 2023 | unchanged | flat |
| 52 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 52 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 52 | Algeria | 1 1000 t | 2023 | down 66.7% | falling |
| 52 | Finland | 1 1000 t | 2023 | — | volatile |
| 52 | Greece | 1 1000 t | 2023 | unchanged | flat |
| 52 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 52 | Ireland | 1 1000 t | 2023 | unchanged | flat |
| 52 | Israel | 1 1000 t | 2023 | unchanged | volatile |
| 52 | Cambodia | 1 1000 t | 2023 | down 50.0% | volatile |
| 52 | Kuwait | 1 1000 t | 2023 | unchanged | flat |
| 52 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 52 | Libya | 1 1000 t | 2023 | — | volatile |
| 52 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 52 | Norway | 1 1000 t | 2023 | — | volatile |
| 52 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 52 | Oman | 1 1000 t | 2023 | unchanged | flat |
| 52 | Portugal | 1 1000 t | 2023 | — | volatile |
| 52 | Qatar | 1 1000 t | 2023 | — | flat |
| 52 | Romania | 1 1000 t | 2023 | down 50.0% | falling |
| 52 | Russia | 1 1000 t | 2023 | down 88.9% | falling |
| 52 | Senegal | 1 1000 t | 2023 | unchanged | rising |
| 52 | Sweden | 1 1000 t | 2023 | unchanged | rising |
| 52 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 52 | China, Hong Kong SAR | 1 1000 t | 2023 | — | volatile |
| 52 | Republic of Korea | 1 1000 t | 2023 | down 75.0% | rising |
| 52 | Russian Federation | 1 1000 t | 2023 | down 88.9% | falling |
| 52 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | — | volatile |
| 52 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 52 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | down 80.0% | falling |
| 86 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Chile | 0 1000 t | 2023 | — | volatile |
| 86 | Colombia | 0 1000 t | 2023 | — | volatile |
| 86 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Gambia | 0 1000 t | 2023 | — | volatile |
| 86 | Croatia | 0 1000 t | 2023 | — | volatile |
| 86 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 86 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 86 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Namibia | 0 1000 t | 2023 | — | volatile |
| 86 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 86 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Syria | 0 1000 t | 2023 | — | volatile |
| 86 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 86 | Tunisia | 0 1000 t | 2023 | down 100.0% | falling |
| 86 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 86 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 86 | Syrian Arab Republic | 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 736 1000 t
- Asia 433 1000 t
- South-Eastern Asia 168 1000 t
- Net Food Importing Developing Countries (NFIDCs) 161 1000 t
- Low Income Food Deficit Countries (LIFDCs) 137 1000 t
- Africa 134 1000 t
- Land Locked Developing Countries (LLDCs) 131 1000 t
- Southern Asia 123 1000 t
- Americas 112 1000 t
- Least Developed Countries (LDCs) 94 1000 t
- Western Africa 84 1000 t
- Northern America 65 1000 t
- Western Asia 65 1000 t
- United States of America 58 1000 t
- Europe 52 1000 t
- Eastern Asia 52 1000 t
- European Union (27) 37 1000 t
- Eastern Africa 30 1000 t
- South America 29 1000 t
- Central Asia 26 1000 t
- Western Europe 18 1000 t
- Northern Africa 18 1000 t
- Central America 17 1000 t
- Northern Europe 15 1000 t
- Eastern Europe 12 1000 t
- Southern Europe 8 1000 t
- Oceania 4 1000 t
- Small island developing States (SIDS) 3 1000 t
- Southern Africa 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.