Pineapples and products — Export quantity 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 — Export quantity is currently reported for 125 countries. The highest value is 2,671 1000 t in Costa Rica; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 3 1000 t, and the mean is 82.6 1000 t.
Over the past decade 31 countries rose and 55 fell. The largest increase was in Uganda (up 1,400.0%), and the largest decrease in Bangladesh (down 100.0%).
Pineapples and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Costa Rica | 2,671 1000 t | 2023 | up 3.0% | rising |
| 2 | Netherlands (Kingdom of the) | 1,958 1000 t | 2023 | down 18.9% | falling |
| 3 | Philippines | 1,918 1000 t | 2023 | up 7.0% | rising |
| 4 | Thailand | 738 1000 t | 2023 | down 57.7% | falling |
| 5 | Indonesia | 516 1000 t | 2023 | down 2.1% | rising |
| 6 | United States | 277 1000 t | 2023 | up 35.8% | rising |
| 7 | Spain | 160 1000 t | 2023 | unchanged | rising |
| 8 | Kenya | 159 1000 t | 2023 | down 30.0% | rising |
| 9 | Belgium | 150 1000 t | 2023 | down 23.5% | falling |
| 10 | Guatemala | 143 1000 t | 2023 | up 232.6% | rising |
| 11 | South Africa | 134 1000 t | 2023 | up 61.4% | rising |
| 12 | Germany | 120 1000 t | 2023 | down 9.8% | falling |
| 13 | Ecuador | 116 1000 t | 2023 | up 123.1% | rising |
| 14 | United Arab Emirates | 89 1000 t | 2023 | up 45.9% | volatile |
| 14 | Cyprus | 89 1000 t | 2023 | up 117.1% | rising |
| 16 | Italy | 86 1000 t | 2023 | down 44.2% | volatile |
| 17 | Honduras | 82 1000 t | 2023 | up 18.8% | rising |
| 18 | France | 54 1000 t | 2023 | down 56.1% | falling |
| 18 | Caribbean | 54 1000 t | 2023 | up 1,250.0% | volatile |
| 20 | Vietnam | 48 1000 t | 2023 | up 77.8% | rising |
| 20 | Viet Nam | 48 1000 t | 2023 | up 77.8% | rising |
| 22 | China | 46 1000 t | 2023 | down 47.7% | falling |
| 23 | Eswatini | 44 1000 t | 2023 | up 175.0% | rising |
| 24 | Ghana | 39 1000 t | 2023 | up 143.8% | volatile |
| 24 | Trinidad and Tobago | 39 1000 t | 2023 | — | volatile |
| 26 | Brazil | 36 1000 t | 2023 | up 260.0% | rising |
| 26 | Mexico | 36 1000 t | 2023 | down 55.6% | falling |
| 28 | Israel | 34 1000 t | 2023 | down 60.0% | volatile |
| 29 | Cote d'Ivoire | 32 1000 t | 2023 | up 3.2% | falling |
| 29 | Côte d'Ivoire | 32 1000 t | 2023 | up 3.2% | falling |
| 31 | Portugal | 27 1000 t | 2023 | down 15.6% | flat |
| 32 | China, mainland | 23 1000 t | 2023 | down 61.7% | volatile |
| 33 | China, Taiwan Province of | 22 1000 t | 2023 | up 214.3% | volatile |
| 34 | Austria | 20 1000 t | 2023 | down 13.0% | falling |
| 34 | Malaysia | 20 1000 t | 2023 | down 44.4% | falling |
| 36 | Uganda | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 37 | Canada | 14 1000 t | 2023 | up 55.6% | volatile |
| 37 | Saudi Arabia | 14 1000 t | 2023 | down 64.1% | falling |
| 39 | Greece | 13 1000 t | 2023 | up 550.0% | volatile |
| 39 | Ireland | 13 1000 t | 2023 | up 85.7% | rising |
| 39 | Panama | 13 1000 t | 2023 | down 86.5% | volatile |
| 42 | Nepal | 12 1000 t | 2022 | up 9.1% | flat |
| 43 | Turkey | 11 1000 t | 2023 | up 22.2% | rising |
| 43 | Türkiye | 11 1000 t | 2023 | up 22.2% | rising |
| 45 | India | 9 1000 t | 2023 | up 125.0% | rising |
| 45 | Poland | 9 1000 t | 2023 | unchanged | rising |
| 47 | United Kingdom | 8 1000 t | 2023 | down 42.9% | volatile |
| 47 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | down 42.9% | volatile |
| 49 | Belize | 7 1000 t | 2023 | up 600.0% | volatile |
| 49 | Barbados | 7 1000 t | 2023 | — | volatile |
| 51 | Dominican Republic | 6 1000 t | 2023 | up 50.0% | rising |
| 52 | Burkina Faso | 5 1000 t | 2023 | — | volatile |
| 52 | Peru | 5 1000 t | 2023 | — | volatile |
| 52 | Australia and New Zealand | 5 1000 t | 2023 | down 73.7% | volatile |
| 55 | Croatia | 4 1000 t | 2023 | up 100.0% | rising |
| 55 | Hungary | 4 1000 t | 2023 | up 100.0% | rising |
| 55 | Sierra Leone | 4 1000 t | 2023 | — | volatile |
| 55 | Slovenia | 4 1000 t | 2023 | unchanged | rising |
| 55 | Iran (Islamic Republic of) | 4 1000 t | 2023 | down 73.3% | volatile |
| 60 | Australia | 3 1000 t | 2023 | down 72.7% | volatile |
| 60 | Colombia | 3 1000 t | 2023 | down 25.0% | volatile |
| 60 | Czechia | 3 1000 t | 2023 | down 57.1% | falling |
| 60 | Morocco | 3 1000 t | 2023 | down 70.0% | volatile |
| 60 | Russia | 3 1000 t | 2023 | down 25.0% | volatile |
| 60 | Slovakia | 3 1000 t | 2023 | down 81.2% | volatile |
| 60 | Russian Federation | 3 1000 t | 2023 | down 25.0% | volatile |
| 67 | Argentina | 2 1000 t | 2017 | down 50.0% | falling |
| 67 | Cuba | 2 1000 t | 2019 | down 60.0% | volatile |
| 67 | Estonia | 2 1000 t | 2023 | down 50.0% | volatile |
| 67 | Georgia | 2 1000 t | 2023 | — | volatile |
| 67 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | volatile |
| 67 | Sri Lanka | 2 1000 t | 2023 | down 33.3% | falling |
| 67 | Mauritius | 2 1000 t | 2023 | unchanged | rising |
| 67 | New Zealand | 2 1000 t | 2023 | down 75.0% | volatile |
| 67 | El Salvador | 2 1000 t | 2023 | down 96.8% | volatile |
| 67 | Zambia | 2 1000 t | 2023 | — | volatile |
| 67 | China, Hong Kong SAR | 2 1000 t | 2023 | down 90.5% | volatile |
| 78 | Armenia | 1 1000 t | 2023 | — | volatile |
| 78 | Bahrain | 1 1000 t | 2023 | — | falling |
| 78 | Switzerland | 1 1000 t | 2023 | unchanged | falling |
| 78 | Chile | 1 1000 t | 2023 | unchanged | volatile |
| 78 | Cameroon | 1 1000 t | 2023 | down 80.0% | volatile |
| 78 | Denmark | 1 1000 t | 2023 | down 66.7% | falling |
| 78 | Lithuania | 1 1000 t | 2023 | down 94.4% | volatile |
| 78 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 78 | Latvia | 1 1000 t | 2023 | unchanged | rising |
| 78 | Madagascar | 1 1000 t | 2023 | — | volatile |
| 78 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 78 | Oman | 1 1000 t | 2023 | — | volatile |
| 78 | Paraguay | 1 1000 t | 2023 | — | falling |
| 78 | Romania | 1 1000 t | 2023 | — | volatile |
| 78 | Senegal | 1 1000 t | 2023 | — | volatile |
| 78 | Serbia | 1 1000 t | 2023 | — | volatile |
| 78 | Sweden | 1 1000 t | 2023 | unchanged | volatile |
| 95 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Guyana | 0 1000 t | 2023 | — | volatile |
| 95 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 95 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Laos | 0 1000 t | 2023 | — | volatile |
| 95 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Saint Lucia | 0 1000 t | 2022 | — | volatile |
| 95 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 95 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 95 | Malawi | 0 1000 t | 2022 | — | volatile |
| 95 | Namibia | 0 1000 t | 2023 | — | volatile |
| 95 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 95 | Norway | 0 1000 t | 2023 | — | volatile |
| 95 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 95 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 95 | Yemen | 0 1000 t | 2023 | — | volatile |
| 95 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 95 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 10,177 1000 t
- Asia 3,547 1000 t
- Americas 3,461 1000 t
- South-Eastern Asia 3,241 1000 t
- Central America 2,954 1000 t
- European Union (27) 2,724 1000 t
- Europe 2,649 1000 t
- Western Europe 2,303 1000 t
- Africa 514 1000 t
- Net Food Importing Developing Countries (NFIDCs) 485 1000 t
- Southern Europe 296 1000 t
- Northern America 291 1000 t
- United States of America 277 1000 t
- Low Income Food Deficit Countries (LIFDCs) 258 1000 t
- Western Asia 243 1000 t
- Eastern Africa 180 1000 t
- Southern Africa 178 1000 t
- South America 163 1000 t
- Western Africa 152 1000 t
- Least Developed Countries (LDCs) 100 1000 t
- Land Locked Developing Countries (LLDCs) 71 1000 t
- Small island developing States (SIDS) 63 1000 t
- Eastern Asia 47 1000 t
- Northern Europe 27 1000 t
- Eastern Europe 23 1000 t
- Southern Asia 15 1000 t
- Oceania 6 1000 t
- Northern Africa 3 1000 t
- Central Asia 2 1000 t
- Middle Africa 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.