China, Hong Kong SAR vs Rwanda: Pineapples — Revealed comparative advantage index
Pineapples — Revealed comparative advantage index over time
- China, Hong Kong SAR
- Rwanda
How they compare
China, Hong Kong SAR currently reports 0.08 against 0.07 in Rwanda, a difference of 0.01.
That makes China, Hong Kong SAR's figure about 1.1 times Rwanda's.
The two have swapped places 1 time across 12 shared years of data; in 2010 it was China, Hong Kong SAR ahead.
China, Hong Kong SAR ranks 48th and Rwanda ranks 51st of 121 countries.
Across the 2 decades both report, China, Hong Kong SAR averaged higher in 1 and Rwanda in 1.
Head to head by decade
| Decade | China, Hong Kong SAR | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2011 | 0.1611 | 0.04 | China, Hong Kong SAR |
| 2020s | 0.04 | 0.2167 | 0.1767 | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pineapples — revealed comparative advantage index, China, Hong Kong SAR or Rwanda?
- China, Hong Kong SAR, at 0.08 against 0.07 in Rwanda as of 2024.
- What is the difference in pineapples — revealed comparative advantage index between China, Hong Kong SAR and Rwanda?
- 0.01, with China, Hong Kong SAR ahead.
- How many years of comparable data are there for China, Hong Kong SAR and Rwanda?
- 12 years are reported by both, from 2010 to 2022.
- How do China, Hong Kong SAR and Rwanda rank globally for pineapples — revealed comparative advantage index?
- China, Hong Kong SAR ranks 48th and Rwanda ranks 51st of 121 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Pineapples — 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