Pimento — 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
Pimento — Stock Variation is currently reported for 68 countries. The highest value is 312 1000 t in India; the lowest is -14 1000 t in Thailand.
The median across all reporting countries is 0 1000 t, and the mean is 6.49 1000 t.
The gap between the highest and lowest reporting country is a factor of about 22.
Over the past decade 18 countries rose and 10 fell. The largest increase was in Bangladesh (up 763.6%), and the largest decrease in China, mainland (down 109.1%).
Pimento — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 312 1000 t | 2023 | up 96.2% | volatile |
| 2 | Bangladesh | 73 1000 t | 2023 | up 763.6% | volatile |
| 3 | Ethiopia | 33 1000 t | 2023 | up 106.2% | volatile |
| 4 | United States | 14 1000 t | 2023 | up 333.3% | volatile |
| 5 | Nepal | 10 1000 t | 2023 | — | volatile |
| 6 | Pakistan | 6 1000 t | 2023 | down 40.0% | volatile |
| 6 | Ghana | 6 1000 t | 2023 | up 700.0% | volatile |
| 8 | Cameroon | 3 1000 t | 2023 | unchanged | volatile |
| 9 | United Kingdom of Great Britain and Northern Ireland | 2 1000 t | 2023 | up 300.0% | volatile |
| 9 | United Kingdom | 2 1000 t | 2023 | up 300.0% | volatile |
| 9 | Kazakhstan | 2 1000 t | 2023 | up 300.0% | volatile |
| 12 | China, Taiwan Province of | 1 1000 t | 2023 | — | volatile |
| 12 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 12 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 12 | Russia | 1 1000 t | 2023 | — | volatile |
| 12 | Cote d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 12 | Canada | 1 1000 t | 2023 | — | volatile |
| 12 | Germany | 1 1000 t | 2023 | — | rising |
| 12 | Brazil | 1 1000 t | 2023 | — | volatile |
| 20 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | Algeria | 0 1000 t | 2023 | — | volatile |
| 20 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | flat |
| 20 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 20 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 20 | Libya | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 20 | Viet Nam | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | Türkiye | 0 1000 t | 2023 | down 100.0% | flat |
| 20 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | flat |
| 20 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 20 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 20 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 20 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 20 | South Africa | 0 1000 t | 2023 | — | volatile |
| 20 | Laos | 0 1000 t | 2023 | — | volatile |
| 20 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 20 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | North Macedonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 20 | Malawi | 0 1000 t | 2023 | — | volatile |
| 20 | Niger | 0 1000 t | 2023 | up 100.0% | flat |
| 20 | Nigeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 20 | Oman | 0 1000 t | 2023 | — | volatile |
| 20 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 20 | Peru | 0 1000 t | 2023 | — | volatile |
| 20 | Poland | 0 1000 t | 2023 | — | volatile |
| 20 | Kenya | 0 1000 t | 2023 | — | volatile |
| 20 | Spain | 0 1000 t | 2023 | — | volatile |
| 20 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 20 | Vietnam | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | Hungary | 0 1000 t | 2023 | — | volatile |
| 20 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 20 | Turkey | 0 1000 t | 2023 | down 100.0% | flat |
| 20 | Italy | 0 1000 t | 2023 | — | volatile |
| 20 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 20 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 20 | Senegal | 0 1000 t | 2023 | down 100.0% | flat |
| 20 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 20 | Romania | 0 1000 t | 2023 | — | volatile |
| 180 | Tunisia | -1 1000 t | 2023 | — | volatile |
| 181 | China | -2 1000 t | 2023 | down 106.1% | volatile |
| 181 | United Arab Emirates | -2 1000 t | 2023 | up 60.0% | volatile |
| 183 | China, mainland | -3 1000 t | 2023 | down 109.1% | volatile |
| 184 | Uzbekistan | -8 1000 t | 2023 | — | volatile |
| 185 | Thailand | -14 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 441 1000 t
- Southern Asia 402 1000 t
- Asia 379 1000 t
- Net Food Importing Developing Countries (NFIDCs) 123 1000 t
- Least Developed Countries (LDCs) 117 1000 t
- Africa 42 1000 t
- Low Income Food Deficit Countries (LIFDCs) 38 1000 t
- Land Locked Developing Countries (LLDCs) 37 1000 t
- Eastern Africa 33 1000 t
- Americas 15 1000 t
- United States of America 14 1000 t
- Northern America 14 1000 t
- Western Africa 8 1000 t
- Europe 5 1000 t
- Northern Europe 3 1000 t
- Middle Africa 3 1000 t
- European Union (27) 2 1000 t
- Western Europe 2 1000 t
- Eastern Europe 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- South America 0 1000 t
- Southern Africa 0 1000 t
- Central America 0 1000 t
- Southern Europe 0 1000 t
- Northern Africa -1 1000 t
- Eastern Asia -1 1000 t
- Western Asia -2 1000 t
- Central Asia -6 1000 t
- South-Eastern Asia -14 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.