Pineapples — Self-sufficiency ratio by country
The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD,...
What the numbers show
Pineapples — Self-sufficiency ratio is currently reported for 52 countries. The highest value is 3.41 in Costa Rica; the lowest is -1.02 in Uganda.
The median across all reporting countries is 1, and the mean is 0.9415.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 11 countries rose and 22 fell. The largest increase was in Israel (up 141.7%), and the largest decrease in Uganda (down 182.3%).
Pineapples — Self-sufficiency ratio: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Costa Rica | 3.41 | 2024 | down 9.1% | rising |
| 1 | Côte d'Ivoire | 2.07 | 2024 | down 26.3% | volatile |
| 1 | Viet Nam | 1.01 | 2023 | up 1.0% | flat |
| 2 | Honduras | 1.85 | 2024 | down 72.8% | rising |
| 2 | United Republic of Tanzania | 1 | 2024 | unchanged | flat |
| 2 | Venezuela (Bolivarian Republic of) | 1 | 2023 | unchanged | flat |
| 2 | Bolivia (Plurinational State of) | 1 | 2019 | down 5.7% | falling |
| 3 | Mauritius | 1.31 | 2024 | up 9.2% | rising |
| 4 | Philippines | 1.3 | 2024 | up 5.7% | rising |
| 5 | Ecuador | 1.29 | 2023 | down 20.4% | volatile |
| 6 | Kenya | 1.21 | 2023 | up 21.0% | rising |
| 7 | Guatemala | 1.1 | 2024 | down 0.9% | rising |
| 7 | Panama | 1.1 | 2024 | down 89.9% | volatile |
| 9 | South Africa | 1.05 | 2024 | up 1.0% | flat |
| 9 | China, Taiwan Province of | 1.05 | 2024 | up 4.0% | rising |
| 11 | Paraguay | 1.02 | 2024 | up 1.0% | flat |
| 11 | Malaysia | 1.02 | 2024 | down 4.7% | flat |
| 13 | Mozambique | 1.01 | 2024 | up 1.0% | flat |
| 13 | Mexico | 1.01 | 2024 | down 3.8% | falling |
| 13 | Sri Lanka | 1.01 | 2024 | down 2.9% | flat |
| 13 | Dominica | 1.01 | 2023 | — | flat |
| 13 | India | 1.01 | 2024 | up 1.0% | flat |
| 13 | Ghana | 1.01 | 2023 | unchanged | flat |
| 19 | Australia | 1 | 2024 | unchanged | flat |
| 19 | Colombia | 1 | 2024 | unchanged | flat |
| 19 | Dominican Republic | 1 | 2024 | down 1.0% | flat |
| 19 | Cameroon | 1 | 2023 | down 2.9% | falling |
| 19 | Trinidad and Tobago | 1 | 2024 | down 2.0% | falling |
| 19 | Thailand | 1 | 2024 | unchanged | flat |
| 19 | Brazil | 1 | 2024 | unchanged | flat |
| 19 | Fiji | 1 | 2024 | unchanged | flat |
| 19 | Peru | 1 | 2024 | unchanged | flat |
| 19 | Guyana | 1 | 2022 | down 8.3% | falling |
| 19 | Nicaragua | 1 | 2023 | unchanged | flat |
| 19 | Indonesia | 1 | 2024 | unchanged | flat |
| 19 | Angola | 1 | 2023 | unchanged | flat |
| 19 | Madagascar | 1 | 2022 | unchanged | flat |
| 19 | Jamaica | 1 | 2023 | unchanged | flat |
| 19 | Cambodia | 1 | 2024 | unchanged | rising |
| 35 | Rwanda | 0.99 | 2022 | down 1.0% | flat |
| 36 | Nepal | 0.98 | 2017 | up 4.3% | flat |
| 36 | Ethiopia | 0.98 | 2023 | down 1.0% | flat |
| 38 | China, mainland | 0.91 | 2024 | down 4.2% | falling |
| 39 | Israel | 0.58 | 2024 | up 141.7% | volatile |
| 40 | Togo | 0.29 | 2024 | down 85.3% | volatile |
| 41 | Seychelles | 0.15 | 2021 | down 65.1% | falling |
| 42 | Antigua and Barbuda | 0.14 | 2019 | down 46.2% | falling |
| 43 | Japan | 0.04 | 2024 | unchanged | falling |
| 44 | El Salvador | 0.03 | 2024 | down 62.5% | volatile |
| 44 | Portugal | 0.03 | 2017 | unchanged | falling |
| 46 | Republic of Korea | 0.01 | 2024 | unchanged | falling |
| 48 | Uganda | -1.02 | 2024 | down 182.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
About this data
The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. The source data is checked for outliers, trade partner data is used for non-reporting countries or missing cells, and data on food aid is added to take total cross-border trade flows into account. The trade database includes the following variables: export quantity, export value, import quantity, and import value. It includes all food and agricultural products imported/exported annually by all countries in the world. Production data details are available at https://www.fao.org/faostat/en/#data/QCL and GDP data details are available at https://www.fao.org/faostat/en/#data/MK