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 57 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 1.07 1000 t.
The gap between the highest and lowest reporting country is a factor of about 10.
Over the past decade 15 countries rose and 6 fell. The largest increase was in India (up 200.0%), and the largest decrease in Italy (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 |
| 4 | Vietnam | 4 1000 t | 2023 | — | volatile |
| 6 | Burkina Faso | 3 1000 t | 2023 | — | volatile |
| 6 | India | 3 1000 t | 2023 | up 200.0% | volatile |
| 8 | United States | 2 1000 t | 2023 | up 166.7% | volatile |
| 8 | Saudi Arabia | 2 1000 t | 2023 | — | volatile |
| 10 | Democratic People's Republic of Korea | 1 1000 t | 2018 | — | volatile |
| 10 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 10 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 10 | Thailand | 1 1000 t | 2023 | up 200.0% | volatile |
| 10 | South Africa | 1 1000 t | 2023 | — | volatile |
| 10 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 10 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 10 | Canada | 1 1000 t | 2023 | — | volatile |
| 18 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | China | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 18 | China, mainland | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 18 | Belgium | 0 1000 t | 2023 | — | volatile |
| 18 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 18 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | up 100.0% | flat |
| 18 | Austria | 0 1000 t | 2023 | — | volatile |
| 18 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 18 | Russia | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Honduras | 0 1000 t | 2023 | — | volatile |
| 18 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Morocco | 0 1000 t | 2023 | — | volatile |
| 18 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 18 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Myanmar | 0 1000 t | 2023 | — | flat |
| 18 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 18 | Namibia | 0 1000 t | 2023 | — | volatile |
| 18 | Nepal | 0 1000 t | 2023 | — | volatile |
| 18 | Greece | 0 1000 t | 2023 | — | volatile |
| 18 | Philippines | 0 1000 t | 2023 | — | volatile |
| 18 | Poland | 0 1000 t | 2023 | — | flat |
| 18 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 18 | Gambia | 0 1000 t | 2023 | — | volatile |
| 18 | Senegal | 0 1000 t | 2023 | — | volatile |
| 18 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Turkey | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | United Kingdom | 0 1000 t | 2023 | up 100.0% | flat |
| 18 | France | 0 1000 t | 2023 | — | volatile |
| 18 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 18 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 187 | Netherlands (Kingdom of the) | -1 1000 t | 2023 | — | volatile |
| 188 | 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
- Low Income Food Deficit Countries (LIFDCs) 4 1000 t
- Land Locked Developing Countries (LLDCs) 4 1000 t
- Northern America 3 1000 t
- Western Africa 3 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2 1000 t
- United States of America 2 1000 t
- Southern Asia 2 1000 t
- Least Developed Countries (LDCs) 1 1000 t
- Eastern Africa 1 1000 t
- Southern Africa 1 1000 t
- Northern Europe 0 1000 t
- Eastern Europe 0 1000 t
- Northern Africa 0 1000 t
- Central America 0 1000 t
- Southern Europe 0 1000 t
- Eastern Asia 0 1000 t
- European Union (27) 0 1000 t
- Europe 0 1000 t
- Western Europe -1 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.