Chile vs China, Hong Kong SAR: Oranges — Revealed comparative advantage index
Oranges — Revealed comparative advantage index over time
- Chile
- China, Hong Kong SAR
How they compare
China, Hong Kong SAR currently reports 2.38 against 2.18 in Chile, a difference of 0.2.
That makes China, Hong Kong SAR's figure about 1.1 times Chile's.
The two have swapped places 2 times across 14 shared years of data; in 2010 it was China, Hong Kong SAR ahead.
Chile ranks 9th and China, Hong Kong SAR ranks 7th of 128 countries.
China, Hong Kong SAR has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Chile | China, Hong Kong SAR | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1.78 | 2.66 | 0.882 | China, Hong Kong SAR |
| 2020s | 2.29 | 3.2 | 0.9125 | China, Hong Kong SAR |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — revealed comparative advantage index, Chile or China, Hong Kong SAR?
- China, Hong Kong SAR, at 2.38 against 2.18 in Chile as of 2024.
- What is the difference in oranges — revealed comparative advantage index between Chile and China, Hong Kong SAR?
- 0.2, with China, Hong Kong SAR ahead.
- How many years of comparable data are there for Chile and China, Hong Kong SAR?
- 14 years are reported by both, from 2010 to 2024.
- How do Chile and China, Hong Kong SAR rank globally for oranges — revealed comparative advantage index?
- Chile ranks 9th and China, Hong Kong SAR ranks 7th 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