Pineapples and products — Domestic supply 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...
Countries reporting
185
Highest
6,253 1000 t
United States
Lowest
-43 1000 t
Cyprus
Median
19 1000 t
Years covered
14
2010–2023
Data points
3,026
What the numbers show
Pineapples and products — Domestic supply quantity is currently reported for 185 countries. The highest value is 6,253 1000 t in United States; the lowest is -43 1000 t in Cyprus.
The median across all reporting countries is 19 1000 t, and the mean is 214.4 1000 t.
The gap between the highest and lowest reporting country is a factor of about 145.
Over the past decade 78 countries rose and 75 fell. The largest increase was in Malawi (up 37,200.0%), and the largest decrease in Uganda (down 400.0%).
Pineapples and products — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 6,253 1000 t | 2023 | down 3.9% | falling |
| 2 | China | 2,806 1000 t | 2023 | up 59.4% | rising |
| 3 | Indonesia | 2,488 1000 t | 2023 | up 88.3% | rising |
| 4 | China, mainland | 2,394 1000 t | 2023 | up 82.1% | rising |
| 5 | Brazil | 2,352 1000 t | 2023 | down 7.3% | falling |
| 6 | India | 1,827 1000 t | 2023 | up 15.1% | rising |
| 7 | Nigeria | 1,634 1000 t | 2023 | up 11.9% | rising |
| 8 | Mexico | 1,305 1000 t | 2023 | up 73.3% | rising |
| 9 | Philippines | 1,277 1000 t | 2023 | up 96.8% | volatile |
| 10 | Colombia | 856 1000 t | 2023 | up 34.0% | rising |
| 11 | Angola | 760 1000 t | 2023 | up 58.7% | rising |
| 12 | Vietnam | 709 1000 t | 2023 | up 28.4% | rising |
| 12 | Viet Nam | 709 1000 t | 2023 | up 28.4% | rising |
| 14 | Spain | 708 1000 t | 2023 | down 25.8% | falling |
| 15 | Ghana | 663 1000 t | 2023 | up 2.2% | rising |
| 16 | Caribbean | 631 1000 t | 2023 | down 5.0% | rising |
| 17 | France | 595 1000 t | 2023 | up 1.5% | rising |
| 18 | Peru | 581 1000 t | 2023 | up 31.4% | rising |
| 19 | Thailand | 508 1000 t | 2023 | down 24.3% | falling |
| 20 | Dominican Republic | 501 1000 t | 2023 | up 3.9% | rising |
| 21 | Venezuela (Bolivarian Republic of) | 469 1000 t | 2023 | up 1.3% | rising |
| 22 | United Republic of Tanzania | 444 1000 t | 2023 | up 22.7% | rising |
| 23 | United Kingdom | 426 1000 t | 2023 | down 26.0% | falling |
| 23 | United Kingdom of Great Britain and Northern Ireland | 426 1000 t | 2023 | down 26.0% | falling |
| 25 | Germany | 396 1000 t | 2023 | down 40.4% | falling |
| 26 | Ecuador | 392 1000 t | 2023 | up 378.0% | volatile |
| 27 | China, Taiwan Province of | 387 1000 t | 2023 | down 8.1% | falling |
| 28 | Malaysia | 383 1000 t | 2023 | up 77.3% | rising |
| 29 | Malawi | 371 1000 t | 2023 | up 37,200.0% | volatile |
| 30 | Italy | 346 1000 t | 2023 | down 35.7% | falling |
| 31 | Canada | 310 1000 t | 2023 | up 3.7% | rising |
| 31 | Cameroon | 310 1000 t | 2023 | up 85.6% | rising |
| 33 | Australia and New Zealand | 295 1000 t | 2023 | down 11.7% | falling |
| 34 | Costa Rica | 270 1000 t | 2023 | down 18.7% | volatile |
| 35 | Guatemala | 252 1000 t | 2023 | up 15.1% | rising |
| 36 | Australia | 247 1000 t | 2023 | down 10.8% | falling |
| 37 | Russia | 204 1000 t | 2023 | down 60.6% | falling |
| 37 | Russian Federation | 204 1000 t | 2023 | down 60.6% | falling |
| 39 | Bangladesh | 197 1000 t | 2023 | up 5.9% | flat |
| 40 | Democratic Republic of the Congo | 194 1000 t | 2023 | down 5.4% | flat |
| 41 | Chile | 159 1000 t | 2023 | down 9.1% | rising |
| 41 | Saudi Arabia | 159 1000 t | 2023 | down 48.5% | falling |
| 43 | Republic of Korea | 156 1000 t | 2023 | up 4.0% | flat |
| 43 | Netherlands (Kingdom of the) | 156 1000 t | 2023 | down 52.6% | falling |
| 45 | Austria | 133 1000 t | 2023 | up 26.7% | rising |
| 46 | Panama | 125 1000 t | 2023 | up 346.4% | rising |
| 47 | Portugal | 105 1000 t | 2023 | down 39.7% | falling |
| 48 | Jamaica | 94 1000 t | 2023 | up 248.1% | rising |
| 49 | Bolivia (Plurinational State of) | 87 1000 t | 2023 | up 85.1% | rising |
| 50 | Madagascar | 86 1000 t | 2023 | up 7.5% | rising |
| 50 | Nicaragua | 86 1000 t | 2023 | down 9.5% | falling |
| 52 | Poland | 83 1000 t | 2023 | down 12.6% | falling |
| 53 | United Arab Emirates | 81 1000 t | 2023 | down 36.2% | volatile |
| 54 | Guinea | 77 1000 t | 2023 | down 39.4% | falling |
| 55 | Guyana | 73 1000 t | 2023 | up 1,116.7% | volatile |
| 55 | Paraguay | 73 1000 t | 2023 | up 14.1% | rising |
| 57 | Honduras | 71 1000 t | 2023 | down 20.2% | volatile |
| 57 | Laos | 71 1000 t | 2023 | up 97.2% | rising |
| 57 | Lao People's Democratic Republic | 71 1000 t | 2023 | up 97.2% | rising |
| 60 | Kuwait | 70 1000 t | 2023 | down 1.4% | volatile |
| 61 | Iran (Islamic Republic of) | 68 1000 t | 2023 | down 1.4% | falling |
| 62 | El Salvador | 62 1000 t | 2023 | up 244.4% | volatile |
| 63 | Denmark | 60 1000 t | 2023 | down 4.8% | rising |
| 64 | Mozambique | 56 1000 t | 2023 | up 5.7% | flat |
| 65 | Algeria | 52 1000 t | 2023 | up 40.5% | rising |
| 66 | Switzerland | 48 1000 t | 2023 | down 32.4% | falling |
| 66 | New Zealand | 48 1000 t | 2023 | down 15.8% | rising |
| 66 | Melanesia | 48 1000 t | 2023 | up 11.6% | flat |
| 69 | Sri Lanka | 44 1000 t | 2023 | down 18.5% | falling |
| 69 | Ukraine | 44 1000 t | 2023 | down 45.7% | falling |
| 71 | Israel | 42 1000 t | 2023 | up 425.0% | volatile |
| 72 | Finland | 39 1000 t | 2023 | down 41.8% | falling |
| 72 | Greece | 39 1000 t | 2023 | down 27.8% | falling |
| 74 | Belgium | 37 1000 t | 2023 | down 27.5% | rising |
| 74 | Cuba | 37 1000 t | 2019 | down 43.1% | falling |
| 76 | Ireland | 36 1000 t | 2023 | down 12.2% | rising |
| 77 | Romania | 35 1000 t | 2023 | up 75.0% | rising |
| 78 | Hungary | 34 1000 t | 2023 | down 46.9% | falling |
| 79 | Argentina | 29 1000 t | 2023 | down 67.4% | falling |
| 79 | Kazakhstan | 29 1000 t | 2023 | up 26.1% | flat |
| 81 | Cambodia | 26 1000 t | 2023 | up 8.3% | flat |
| 81 | Maldives | 26 1000 t | 2023 | up 73.3% | rising |
| 81 | Papua New Guinea | 26 1000 t | 2023 | up 13.0% | rising |
| 84 | Czechia | 24 1000 t | 2023 | down 35.1% | falling |
| 84 | Morocco | 24 1000 t | 2023 | up 380.0% | volatile |
| 86 | Rwanda | 23 1000 t | 2023 | down 25.8% | falling |
| 87 | China, Hong Kong SAR | 22 1000 t | 2023 | up 4.8% | rising |
| 88 | Sweden | 21 1000 t | 2023 | down 50.0% | falling |
| 89 | Oman | 20 1000 t | 2023 | up 233.3% | volatile |
| 90 | Croatia | 19 1000 t | 2023 | up 46.2% | rising |
| 90 | Norway | 19 1000 t | 2023 | down 34.5% | falling |
| 90 | Turkey | 19 1000 t | 2023 | down 9.5% | rising |
| 90 | Türkiye | 19 1000 t | 2023 | down 9.5% | rising |
| 94 | Kenya | 18 1000 t | 2023 | up 141.9% | volatile |
| 95 | Libya | 17 1000 t | 2023 | down 70.2% | volatile |
| 96 | Bahamas | 16 1000 t | 2023 | up 100.0% | rising |
| 96 | Fiji | 16 1000 t | 2023 | up 23.1% | flat |
| 96 | Slovenia | 16 1000 t | 2023 | up 45.5% | rising |
| 99 | Iraq | 14 1000 t | 2023 | — | volatile |
| 99 | Nepal | 14 1000 t | 2023 | up 133.3% | rising |
| 99 | Eswatini | 14 1000 t | 2023 | down 36.4% | falling |
| 102 | Bahrain | 13 1000 t | 2023 | — | falling |
| 103 | Senegal | 12 1000 t | 2023 | up 9.1% | rising |
| 103 | Yemen | 12 1000 t | 2023 | down 52.0% | falling |
| 105 | Qatar | 11 1000 t | 2023 | — | rising |
| 105 | Serbia | 11 1000 t | 2023 | down 8.3% | flat |
| 107 | Liberia | 10 1000 t | 2023 | up 11.1% | rising |
| 107 | Zambia | 10 1000 t | 2023 | up 900.0% | volatile |
| 107 | Zimbabwe | 10 1000 t | 2023 | up 900.0% | volatile |
| 107 | Polynesia | 10 1000 t | 2023 | up 11.1% | rising |
| 111 | Belize | 9 1000 t | 2023 | — | volatile |
| 111 | Slovakia | 9 1000 t | 2023 | down 30.8% | flat |
| 111 | Uruguay | 9 1000 t | 2023 | up 125.0% | rising |
| 114 | Bulgaria | 8 1000 t | 2023 | down 33.3% | falling |
| 114 | Kyrgyzstan | 8 1000 t | 2023 | up 700.0% | volatile |
| 114 | Latvia | 8 1000 t | 2023 | down 20.0% | rising |
| 117 | Egypt | 7 1000 t | 2023 | down 41.7% | volatile |
| 117 | Haiti | 7 1000 t | 2023 | unchanged | rising |
| 117 | Jordan | 7 1000 t | 2023 | up 75.0% | falling |
| 117 | Luxembourg | 7 1000 t | 2023 | unchanged | falling |
| 117 | Pakistan | 7 1000 t | 2023 | down 50.0% | falling |
| 122 | Azerbaijan | 6 1000 t | 2023 | up 100.0% | rising |
| 122 | Burkina Faso | 6 1000 t | 2023 | down 14.3% | falling |
| 122 | Bosnia and Herzegovina | 6 1000 t | 2023 | unchanged | falling |
| 122 | Georgia | 6 1000 t | 2023 | up 100.0% | rising |
| 122 | Mauritius | 6 1000 t | 2023 | down 70.0% | falling |
| 122 | Suriname | 6 1000 t | 2023 | up 500.0% | volatile |
| 122 | Samoa | 6 1000 t | 2023 | up 20.0% | rising |
| 129 | Estonia | 5 1000 t | 2023 | down 68.8% | falling |
| 129 | Gabon | 5 1000 t | 2023 | up 66.7% | rising |
| 129 | Malta | 5 1000 t | 2023 | up 66.7% | rising |
| 129 | Tunisia | 5 1000 t | 2023 | unchanged | volatile |
| 129 | Cabo Verde | 5 1000 t | 2023 | up 25.0% | falling |
| 134 | Cote d'Ivoire | 4 1000 t | 2023 | down 90.7% | volatile |
| 134 | Congo | 4 1000 t | 2023 | down 20.0% | falling |
| 134 | Ethiopia | 4 1000 t | 2023 | down 66.7% | volatile |
| 134 | Gambia | 4 1000 t | 2023 | — | volatile |
| 134 | Montenegro | 4 1000 t | 2023 | up 300.0% | volatile |
| 134 | Mauritania | 4 1000 t | 2023 | up 100.0% | volatile |
| 134 | French Polynesia | 4 1000 t | 2023 | unchanged | rising |
| 134 | Uzbekistan | 4 1000 t | 2023 | — | volatile |
| 134 | Vanuatu | 4 1000 t | 2023 | — | volatile |
| 134 | South Africa | 4 1000 t | 2023 | down 89.2% | falling |
| 134 | Côte d'Ivoire | 4 1000 t | 2023 | down 90.7% | volatile |
| 145 | Armenia | 3 1000 t | 2023 | up 50.0% | rising |
| 145 | Iceland | 3 1000 t | 2023 | down 25.0% | falling |
| 145 | Saint Lucia | 3 1000 t | 2023 | up 200.0% | volatile |
| 145 | Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 145 | Namibia | 3 1000 t | 2023 | down 40.0% | volatile |
| 145 | Niger | 3 1000 t | 2023 | up 200.0% | volatile |
| 145 | Republic of Moldova | 3 1000 t | 2023 | up 50.0% | rising |
| 152 | Belarus | 2 1000 t | 2023 | down 95.1% | volatile |
| 152 | Botswana | 2 1000 t | 2023 | up 100.0% | rising |
| 152 | Guinea-Bissau | 2 1000 t | 2023 | — | volatile |
| 152 | Grenada | 2 1000 t | 2023 | — | volatile |
| 152 | Saint Kitts and Nevis | 2 1000 t | 2023 | — | volatile |
| 152 | Lebanon | 2 1000 t | 2023 | down 97.5% | volatile |
| 152 | North Macedonia | 2 1000 t | 2023 | unchanged | flat |
| 152 | Mongolia | 2 1000 t | 2023 | up 100.0% | volatile |
| 152 | New Caledonia | 2 1000 t | 2023 | down 71.4% | volatile |
| 152 | China, Macao SAR | 2 1000 t | 2023 | unchanged | falling |
| 162 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 162 | Albania | 1 1000 t | 2023 | unchanged | falling |
| 162 | Antigua and Barbuda | 1 1000 t | 2023 | down 75.0% | falling |
| 162 | Bhutan | 1 1000 t | 2023 | — | volatile |
| 162 | Lithuania | 1 1000 t | 2023 | down 93.8% | volatile |
| 162 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 162 | Syria | 1 1000 t | 2023 | down 50.0% | volatile |
| 162 | Tajikistan | 1 1000 t | 2023 | up 200.0% | volatile |
| 162 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | — | volatile |
| 162 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 162 | Syrian Arab Republic | 1 1000 t | 2023 | down 50.0% | volatile |
| 162 | Democratic People's Republic of Korea | 1 1000 t | 2018 | — | volatile |
| 162 | Micronesia (Federated States of) | 1 1000 t | 2023 | — | volatile |
| 175 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 175 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 175 | Kiribati | 0 1000 t | 2023 | — | volatile |
| 175 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 175 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 175 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 175 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 191 | Sierra Leone | -4 1000 t | 2023 | — | volatile |
| 192 | Uganda | -6 1000 t | 2023 | down 400.0% | volatile |
| 193 | Trinidad and Tobago | -29 1000 t | 2023 | down 159.2% | volatile |
| 194 | Cyprus | -43 1000 t | 2023 | down 330.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 35,276 1000 t
- Americas 14,460 1000 t
- Asia 11,442 1000 t
- Northern America 6,563 1000 t
- United States of America 6,253 1000 t
- South-Eastern Asia 5,461 1000 t
- Africa 5,322 1000 t
- South America 5,086 1000 t
- Net Food Importing Developing Countries (NFIDCs) 4,834 1000 t
- Europe 3,698 1000 t
- Eastern Asia 3,332 1000 t
- European Union (27) 2,882 1000 t
- Western Africa 2,865 1000 t
- Least Developed Countries (LDCs) 2,863 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,240 1000 t
- Southern Asia 2,183 1000 t
- Central America 2,179 1000 t
- Western Europe 1,372 1000 t
- Middle Africa 1,290 1000 t
- Southern Europe 1,260 1000 t
- Eastern Africa 1,034 1000 t
- Small island developing States (SIDS) 818 1000 t
- Land Locked Developing Countries (LLDCs) 793 1000 t
- Northern Europe 620 1000 t
- Eastern Europe 446 1000 t
- Western Asia 425 1000 t
- Oceania 355 1000 t
- Northern Africa 110 1000 t
- Central Asia 41 1000 t
- Southern Africa 23 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.