Pineapples and products — 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
Pineapples and products — Residuals is currently reported for 54 countries. The highest value is 35 1000 t in Netherlands (Kingdom of the); the lowest is -258 1000 t in Costa Rica.
The median across all reporting countries is 0 1000 t, and the mean is -7.59 1000 t.
Over the past decade 9 countries rose and 4 fell. The largest increase was in Panama (up 100.0%), and the largest decrease in Cyprus (down 445.5%).
Pineapples and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 35 1000 t | 2023 | down 2.8% | volatile |
| 2 | Switzerland | 9 1000 t | 2023 | unchanged | falling |
| 3 | Guatemala | 5 1000 t | 2023 | down 85.7% | falling |
| 4 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 4 | Oman | 0 1000 t | 2023 | — | volatile |
| 4 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Philippines | 0 1000 t | 2023 | — | volatile |
| 4 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 4 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 4 | Sweden | 0 1000 t | 2023 | — | volatile |
| 4 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 4 | Tajikistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 4 | Zambia | 0 1000 t | 2023 | — | volatile |
| 4 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 4 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 4 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 4 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 4 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 4 | Ireland | 0 1000 t | 2023 | — | volatile |
| 4 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 4 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 4 | Egypt | 0 1000 t | 2023 | — | volatile |
| 4 | Malawi | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Greece | 0 1000 t | 2023 | — | volatile |
| 4 | Cuba | 0 1000 t | 2019 | — | volatile |
| 4 | Honduras | 0 1000 t | 2023 | — | volatile |
| 4 | China | 0 1000 t | 2023 | — | volatile |
| 4 | Brazil | 0 1000 t | 2023 | — | volatile |
| 4 | Belize | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Israel | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Belarus | 0 1000 t | 2023 | — | volatile |
| 4 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 4 | Bangladesh | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 4 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 4 | Morocco | 0 1000 t | 2023 | — | volatile |
| 4 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 4 | Maldives | 0 1000 t | 2023 | — | volatile |
| 4 | Mexico | 0 1000 t | 2023 | — | volatile |
| 4 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 183 | Barbados | -2 1000 t | 2023 | — | volatile |
| 184 | Cote d'Ivoire | -3 1000 t | 2023 | — | volatile |
| 184 | Côte d'Ivoire | -3 1000 t | 2023 | — | volatile |
| 184 | Kenya | -3 1000 t | 2023 | up 97.5% | volatile |
| 187 | Sierra Leone | -4 1000 t | 2023 | — | volatile |
| 188 | Uganda | -6 1000 t | 2023 | — | volatile |
| 189 | South Africa | -21 1000 t | 2023 | down 110.0% | volatile |
| 189 | Ghana | -21 1000 t | 2023 | — | volatile |
| 191 | Trinidad and Tobago | -38 1000 t | 2023 | — | volatile |
| 192 | Caribbean | -40 1000 t | 2023 | — | volatile |
| 193 | Cyprus | -60 1000 t | 2023 | down 445.5% | volatile |
| 194 | Costa Rica | -258 1000 t | 2023 | up 9.5% | rising |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Europe 44 1000 t
- Western Europe 44 1000 t
- Central Asia 0 1000 t
- South America 0 1000 t
- Eastern Europe 0 1000 t
- Northern Africa 0 1000 t
- Southern Europe 0 1000 t
- Eastern Asia 0 1000 t
- Southern Asia 0 1000 t
- South-Eastern Asia 0 1000 t
- Northern Europe 0 1000 t
- Land Locked Developing Countries (LLDCs) -6 1000 t
- Eastern Africa -10 1000 t
- Southern Africa -21 1000 t
- European Union (27) -25 1000 t
- Small island developing States (SIDS) -39 1000 t
- Least Developed Countries (LDCs) -45 1000 t
- Low Income Food Deficit Countries (LIFDCs) -48 1000 t
- Asia -60 1000 t
- Western Asia -60 1000 t
- Western Africa -62 1000 t
- Net Food Importing Developing Countries (NFIDCs) -91 1000 t
- Africa -94 1000 t
- Central America -254 1000 t
- Americas -293 1000 t
- World -403 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.