Pineapples and products — Losses 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 — Losses is currently reported for 110 countries. The highest value is 526 1000 t in Costa Rica; the lowest is 0 1000 t in Republic of Korea.
The median across all reporting countries is 3 1000 t, and the mean is 29.79 1000 t.
Over the past decade 34 countries rose and 19 fell. The largest increase was in Panama (up 540.0%), and the largest decrease in Ethiopia (down 100.0%).
Pineapples and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Costa Rica | 526 1000 t | 2023 | up 7.3% | rising |
| 2 | Brazil | 477 1000 t | 2023 | down 4.0% | flat |
| 3 | Philippines | 247 1000 t | 2023 | up 19.9% | rising |
| 4 | Colombia | 221 1000 t | 2023 | up 38.1% | rising |
| 5 | China | 159 1000 t | 2023 | up 55.9% | rising |
| 6 | India | 156 1000 t | 2023 | up 18.2% | rising |
| 7 | Nigeria | 133 1000 t | 2023 | up 9.9% | rising |
| 8 | China, mainland | 127 1000 t | 2023 | up 92.4% | rising |
| 9 | Mexico | 107 1000 t | 2023 | up 64.6% | rising |
| 10 | Thailand | 105 1000 t | 2023 | down 39.3% | falling |
| 11 | Peru | 87 1000 t | 2023 | up 31.8% | rising |
| 12 | Guatemala | 78 1000 t | 2023 | up 59.2% | rising |
| 13 | Venezuela (Bolivarian Republic of) | 69 1000 t | 2023 | up 1.5% | rising |
| 14 | Viet Nam | 65 1000 t | 2023 | up 32.7% | rising |
| 15 | Angola | 61 1000 t | 2023 | up 52.5% | rising |
| 16 | Ghana | 58 1000 t | 2023 | up 9.4% | rising |
| 17 | Caribbean | 52 1000 t | 2023 | up 4.0% | rising |
| 18 | Dominican Republic | 45 1000 t | 2023 | up 9.8% | rising |
| 19 | Ecuador | 41 1000 t | 2023 | up 272.7% | volatile |
| 20 | United Republic of Tanzania | 37 1000 t | 2023 | up 23.3% | rising |
| 21 | Panama | 32 1000 t | 2023 | up 540.0% | volatile |
| 22 | Malawi | 31 1000 t | 2023 | — | volatile |
| 22 | Malaysia | 31 1000 t | 2023 | up 55.0% | rising |
| 22 | China, Taiwan Province of | 31 1000 t | 2023 | down 11.4% | falling |
| 25 | Cameroon | 27 1000 t | 2023 | up 92.9% | rising |
| 26 | France | 21 1000 t | 2023 | up 31.2% | rising |
| 27 | Indonesia | 19 1000 t | 2023 | down 88.0% | volatile |
| 28 | Spain | 18 1000 t | 2023 | up 63.6% | rising |
| 29 | Bangladesh | 16 1000 t | 2023 | unchanged | flat |
| 29 | Democratic Republic of the Congo | 16 1000 t | 2023 | down 5.9% | falling |
| 31 | Nicaragua | 14 1000 t | 2023 | up 16.7% | rising |
| 32 | Germany | 13 1000 t | 2023 | down 13.3% | falling |
| 33 | Netherlands (Kingdom of the) | 12 1000 t | 2023 | down 20.0% | flat |
| 34 | Kenya | 9 1000 t | 2023 | down 18.2% | rising |
| 35 | Belgium | 7 1000 t | 2023 | down 12.5% | falling |
| 35 | Italy | 7 1000 t | 2023 | unchanged | flat |
| 35 | Sri Lanka | 7 1000 t | 2023 | down 12.5% | falling |
| 35 | Madagascar | 7 1000 t | 2023 | unchanged | rising |
| 35 | Bolivia (Plurinational State of) | 7 1000 t | 2023 | up 75.0% | rising |
| 40 | Australia | 6 1000 t | 2023 | unchanged | falling |
| 40 | Canada | 6 1000 t | 2023 | unchanged | rising |
| 40 | Guinea | 6 1000 t | 2023 | down 45.5% | falling |
| 40 | Honduras | 6 1000 t | 2023 | down 45.5% | falling |
| 40 | Paraguay | 6 1000 t | 2023 | up 20.0% | rising |
| 40 | Australia and New Zealand | 6 1000 t | 2023 | unchanged | falling |
| 40 | Lao People's Democratic Republic | 6 1000 t | 2023 | up 100.0% | rising |
| 40 | United Kingdom of Great Britain and Northern Ireland | 6 1000 t | 2023 | down 14.3% | falling |
| 48 | Mozambique | 5 1000 t | 2023 | up 25.0% | rising |
| 49 | Jamaica | 4 1000 t | 2023 | up 100.0% | rising |
| 49 | Papua New Guinea | 4 1000 t | 2023 | up 33.3% | rising |
| 49 | Eswatini | 4 1000 t | 2023 | up 33.3% | rising |
| 49 | Melanesia | 4 1000 t | 2023 | unchanged | rising |
| 53 | Cuba | 3 1000 t | 2019 | down 50.0% | falling |
| 53 | Guyana | 3 1000 t | 2023 | up 200.0% | volatile |
| 53 | Saudi Arabia | 3 1000 t | 2023 | up 50.0% | rising |
| 53 | El Salvador | 3 1000 t | 2023 | up 200.0% | rising |
| 53 | Côte d'Ivoire | 3 1000 t | 2023 | down 50.0% | falling |
| 58 | Cambodia | 2 1000 t | 2023 | unchanged | flat |
| 58 | Rwanda | 2 1000 t | 2023 | down 33.3% | falling |
| 60 | Argentina | 1 1000 t | 2023 | unchanged | rising |
| 60 | Austria | 1 1000 t | 2023 | unchanged | falling |
| 60 | Belize | 1 1000 t | 2023 | — | volatile |
| 60 | Switzerland | 1 1000 t | 2023 | unchanged | flat |
| 60 | Chile | 1 1000 t | 2023 | unchanged | rising |
| 60 | Fiji | 1 1000 t | 2023 | — | volatile |
| 60 | Haiti | 1 1000 t | 2023 | unchanged | rising |
| 60 | Ireland | 1 1000 t | 2023 | — | volatile |
| 60 | Liberia | 1 1000 t | 2023 | unchanged | flat |
| 60 | Nepal | 1 1000 t | 2023 | unchanged | flat |
| 60 | Poland | 1 1000 t | 2023 | — | volatile |
| 60 | Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 60 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | falling |
| 73 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 73 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 73 | Bahrain | 0 1000 t | 2023 | — | flat |
| 73 | Bahamas | 0 1000 t | 2023 | — | flat |
| 73 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 73 | Bhutan | 0 1000 t | 2023 | — | flat |
| 73 | Congo | 0 1000 t | 2023 | — | flat |
| 73 | Czechia | 0 1000 t | 2023 | — | falling |
| 73 | Denmark | 0 1000 t | 2023 | — | flat |
| 73 | Algeria | 0 1000 t | 2023 | — | flat |
| 73 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Finland | 0 1000 t | 2023 | — | flat |
| 73 | Gabon | 0 1000 t | 2023 | — | flat |
| 73 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 73 | Grenada | 0 1000 t | 2023 | — | flat |
| 73 | Iceland | 0 1000 t | 2023 | — | flat |
| 73 | Israel | 0 1000 t | 2023 | — | flat |
| 73 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 73 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 73 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 73 | Morocco | 0 1000 t | 2019 | — | flat |
| 73 | Mauritius | 0 1000 t | 2023 | — | flat |
| 73 | Norway | 0 1000 t | 2023 | — | flat |
| 73 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 73 | Portugal | 0 1000 t | 2023 | — | flat |
| 73 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 73 | Qatar | 0 1000 t | 2023 | — | flat |
| 73 | Suriname | 0 1000 t | 2023 | — | flat |
| 73 | Slovakia | 0 1000 t | 2023 | — | flat |
| 73 | Slovenia | 0 1000 t | 2023 | — | flat |
| 73 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 73 | Seychelles | 0 1000 t | 2023 | — | flat |
| 73 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 73 | Uganda | 0 1000 t | 2023 | — | flat |
| 73 | Samoa | 0 1000 t | 2023 | — | flat |
| 73 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 73 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 73 | Republic of Korea | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,206 1000 t
- Americas 1,811 1000 t
- South America 914 1000 t
- Asia 835 1000 t
- Central America 766 1000 t
- Net Food Importing Developing Countries (NFIDCs) 480 1000 t
- South-eastern Asia 475 1000 t
- Africa 459 1000 t
- Western Africa 246 1000 t
- Least Developed Countries (LDCs) 240 1000 t
- Low Income Food Deficit Countries (LIFDCs) 205 1000 t
- Southern Asia 181 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.