Bananas — Revealed comparative advantage index in Zimbabwe
Zimbabwe: Bananas — Revealed comparative advantage index was 0.08 in 2024. ◆ Volatile
Bananas — Revealed comparative advantage index in Zimbabwe, 2010–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for bananas — revealed comparative advantage index in Zimbabwe is 0.08, measured in 2024.
Compared with earlier readings it is down 11.1% on the previous year and up 700.0% over ten years.
Over the whole period, bananas — revealed comparative advantage index in Zimbabwe peaked at 0.22 in 2021 and was at its lowest, 0, in 2013.
Zimbabwe ranks 59th of 128 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Bananas — Revealed comparative advantage index in Zimbabwe, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.08 | — |
| 2011 | 0.05 | -37.5% |
| 2012 | 0.01 | -80.0% |
| 2013 | 0 | -100.0% |
| 2014 | 0.01 | — |
| 2015 | 0.01 | +0.0% |
| 2016 | 0.02 | +100.0% |
| 2017 | 0.08 | +300.0% |
| 2018 | 0.08 | +0.0% |
| 2019 | 0.11 | +37.5% |
| 2020 | 0.17 | +54.5% |
| 2021 | 0.22 | +29.4% |
| 2022 | 0.09 | -59.1% |
| 2023 | 0.09 | +0.0% |
| 2024 | 0.08 | -11.1% |
Zimbabwe compared with similar countries
- Zimbabwe's 0.08 is above the median for lower middle income countries, which is 0.08, 1.0× the median. (25 countries reporting)
- Zimbabwe's 0.08 is above the median for Sub-Saharan Africa, which is 0.005, 16.0× the median. (24 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.045 | 0 | 0.11 | 10 |
| 2020s | 0.13 | 0.08 | 0.22 | 5 |
Countries ranked near Zimbabwe
- 59 Brunei Darussalam 0.08 compare
- 61 Austria 0.06 compare
- 61 Ireland 0.06 compare
- 61 United Arab Emirates 0.06 compare
More agriculture & rural data for Zimbabwe
- Agriculture, forestry, and fishing, value added (current US$), annual 34.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0947 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 286.19 current US$ per person (2025)
- Rural population, annual growth rate 0.8815 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.595 units per person (2025)
- Share of GDP from agriculture 9.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 9.5% (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 0.3% (2024)
Frequently asked questions
- What is bananas — revealed comparative advantage index in Zimbabwe?
- Bananas — revealed comparative advantage index in Zimbabwe was 0.08 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest bananas — revealed comparative advantage index recorded in Zimbabwe?
- The highest recorded value was 0.22 in 2021.
- What is the lowest bananas — revealed comparative advantage index recorded in Zimbabwe?
- The lowest recorded value was 0 in 2013.
- How does Zimbabwe rank for bananas — revealed comparative advantage index?
- Zimbabwe ranks 59th out of 128 countries with data for 2024.
- Is bananas — revealed comparative advantage index rising or falling in Zimbabwe?
- Over the last ten years it is up 700.0%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Bananas — Revealed comparative advantage index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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