Slovenia, Republic of vs Zimbabwe: Oranges — Revealed comparative advantage index
Oranges — Revealed comparative advantage index over time
- Slovenia, Republic of
- Zimbabwe
How they compare
Zimbabwe currently reports 1.78 against 1.64 in Slovenia, Republic of, a difference of 0.14.
That makes Zimbabwe's figure about 1.1 times Slovenia, Republic of's.
The two have swapped places 5 times across 15 shared years of data; in 2010 it was Slovenia, Republic of ahead.
Slovenia, Republic of ranks 14th and Zimbabwe ranks 11th of 128 countries.
Zimbabwe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Slovenia, Republic of | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1.16 | 1.19 | 0.031 | Zimbabwe |
| 2020s | 1.72 | 2.22 | 0.506 | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — revealed comparative advantage index, Slovenia, Republic of or Zimbabwe?
- Zimbabwe, at 1.78 against 1.64 in Slovenia, Republic of as of 2024.
- What is the difference in oranges — revealed comparative advantage index between Slovenia, Republic of and Zimbabwe?
- 0.14, with Zimbabwe ahead.
- How many years of comparable data are there for Slovenia, Republic of and Zimbabwe?
- 15 years are reported by both, from 2010 to 2024.
- How do Slovenia, Republic of and Zimbabwe rank globally for oranges — revealed comparative advantage index?
- Slovenia, Republic of ranks 14th and Zimbabwe ranks 11th of 128 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — Revealed comparative advantage index. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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