Oranges — Terms of trade in Zimbabwe
Zimbabwe: Oranges — Terms of trade was 242.28 % in 2024. ◆ Volatile
Oranges — Terms of trade in Zimbabwe, 2010–2024
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
Zimbabwe recorded 242.28 % for oranges — terms of trade in 2024.
Compared with earlier readings it is down 55.5% on the previous year and up 128.9% over ten years.
Over the whole period, oranges — terms of trade in Zimbabwe peaked at 1,216 % in 2020 and was at its lowest, 57.97 %, in 2010.
Zimbabwe ranks 10th of 91 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Oranges — Terms of trade in Zimbabwe, year by year
| Year | % | Change |
|---|---|---|
| 2010 | 57.97 % | — |
| 2011 | 101.96 % | +75.9% |
| 2012 | 135.46 % | +32.9% |
| 2013 | 126.61 % | -6.5% |
| 2014 | 105.85 % | -16.4% |
| 2015 | 114.43 % | +8.1% |
| 2016 | 80.98 % | -29.2% |
| 2017 | 96.89 % | +19.6% |
| 2018 | 607.38 % | +526.9% |
| 2020 | 1,216 % | +100.2% |
| 2021 | 480.14 % | -60.5% |
| 2022 | 568.18 % | +18.3% |
| 2023 | 544.24 % | -4.2% |
| 2024 | 242.28 % | -55.5% |
Zimbabwe compared with similar countries
- Zimbabwe's 242.28 % is above the median for lower middle income countries, which is 100.66 %, 2.4× the median. (12 countries reporting)
- Zimbabwe's 242.28 % is above the median for Sub-Saharan Africa, which is 178.46 %, 1.4× the median. (12 countries reporting)
Biggest year-on-year movements
Years where Oranges — Terms of trade in Zimbabwe changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2018 | +526.9% | 96.89 % | 607.38 % |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 158.61 % | 57.97 % | 607.38 % | 9 |
| 2020s | 610.21 % | 242.28 % | 1,216 % | 5 |
Countries ranked near Zimbabwe
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 oranges — terms of trade in Zimbabwe?
- Oranges — terms of trade in Zimbabwe was 242.28 % in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest oranges — terms of trade recorded in Zimbabwe?
- The highest recorded value was 1,216 % in 2020.
- What is the lowest oranges — terms of trade recorded in Zimbabwe?
- The lowest recorded value was 57.97 % in 2010.
- How does Zimbabwe rank for oranges — terms of trade?
- Zimbabwe ranks 10th out of 91 countries with data for 2024.
- Is oranges — terms of trade rising or falling in Zimbabwe?
- Over the last ten years it is up 128.9%. 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 Oranges — Terms of trade. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 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