Plantains — Residuals 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
Plantains — Residuals is currently reported for 29 countries. The highest value is 0 1000 t in Angola; the lowest is -635 1000 t in Laos.
The median across all reporting countries is 0 1000 t, and the mean is -49.07 1000 t.
Over the past decade 4 countries rose and 3 fell. The largest increase was in Mozambique (up 100.0%), and the largest decrease in Indonesia (down 166.7%).
Plantains — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Angola | 0 1000 t | 2023 | — | volatile |
| 1 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 1 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 1 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 1 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 1 | South Africa | 0 1000 t | 2023 | — | volatile |
| 1 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 1 | Peru | 0 1000 t | 2023 | — | volatile |
| 1 | Mozambique | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 1 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 1 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 1 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Ireland | 0 1000 t | 2023 | — | volatile |
| 1 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | India | 0 1000 t | 2023 | — | volatile |
| 1 | Gabon | 0 1000 t | 2023 | — | volatile |
| 1 | China | 0 1000 t | 2023 | — | volatile |
| 1 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 169 | Greece | -3 1000 t | 2023 | — | volatile |
| 170 | Egypt | -4 1000 t | 2023 | — | volatile |
| 171 | Lebanon | -5 1000 t | 2023 | up 37.5% | volatile |
| 172 | Eswatini | -10 1000 t | 2023 | down 150.0% | volatile |
| 173 | Mexico | -15 1000 t | 2023 | — | volatile |
| 174 | Indonesia | -16 1000 t | 2023 | down 166.7% | volatile |
| 175 | Pakistan | -22 1000 t | 2023 | — | volatile |
| 176 | Guatemala | -78 1000 t | 2023 | — | volatile |
| 177 | Lao People's Democratic Republic | -635 1000 t | 2023 | — | volatile |
| 177 | Laos | -635 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.
- Eastern Asia 0 1000 t
- Middle Africa 0 1000 t
- Northern Europe 0 1000 t
- Western Africa 0 1000 t
- Eastern Africa 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- South America 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) -1 1000 t
- Southern Europe -3 1000 t
- European Union (27) -4 1000 t
- Europe -4 1000 t
- Northern Africa -4 1000 t
- Western Asia -6 1000 t
- Southern Africa -10 1000 t
- Africa -15 1000 t
- Southern Asia -23 1000 t
- Central America -93 1000 t
- Americas -94 1000 t
- Least Developed Countries (LDCs) -636 1000 t
- Land Locked Developing Countries (LLDCs) -645 1000 t
- South-Eastern Asia -652 1000 t
- Net Food Importing Developing Countries (NFIDCs) -672 1000 t
- Asia -680 1000 t
- World -792 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.