Brunei Darussalam vs Lithuania: Oranges — Revealed comparative advantage index
Oranges — Revealed comparative advantage index over time
- Brunei Darussalam
- Lithuania
How they compare
Brunei Darussalam currently reports 0.4 against 0.32 in Lithuania, a difference of 0.08.
That makes Brunei Darussalam's figure about 1.2 times Lithuania's.
The two have swapped places 2 times across 10 shared years of data; in 2012 it was Lithuania ahead.
Brunei Darussalam ranks 32nd and Lithuania ranks 35th of 128 countries.
Across the 2 decades both report, Brunei Darussalam averaged higher in 1 and Lithuania in 1.
Head to head by decade
| Decade | Brunei Darussalam | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1657 | 0.9671 | 0.8014 | Lithuania |
| 2020s | 0.4467 | 0.4033 | 0.0433 | Brunei Darussalam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — revealed comparative advantage index, Brunei Darussalam or Lithuania?
- Brunei Darussalam, at 0.4 against 0.32 in Lithuania as of 2023.
- What is the difference in oranges — revealed comparative advantage index between Brunei Darussalam and Lithuania?
- 0.08, with Brunei Darussalam ahead.
- How many years of comparable data are there for Brunei Darussalam and Lithuania?
- 10 years are reported by both, from 2012 to 2023.
- How do Brunei Darussalam and Lithuania rank globally for oranges — revealed comparative advantage index?
- Brunei Darussalam ranks 32nd and Lithuania ranks 35th 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