Guyana vs United Republic of Tanzania: Rice — Revealed comparative advantage index
Rice — Revealed comparative advantage index over time
- Guyana
- United Republic of Tanzania
How they compare
Guyana currently reports 5.99 against 0.05 in United Republic of Tanzania, a difference of 5.94.
That makes Guyana's figure about 119.8 times United Republic of Tanzania's.
The two have swapped places 3 times across 15 shared years of data; in 2010 it was United Republic of Tanzania ahead.
Guyana ranks 4th and United Republic of Tanzania ranks 3rd of 118 countries.
Guyana has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guyana | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 59.48 | 1.45 | 58.02 | Guyana |
| 2020s | 49.82 | 2.08 | 47.74 | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher rice — revealed comparative advantage index, Guyana or United Republic of Tanzania?
- Guyana, at 5.99 against 0.05 in United Republic of Tanzania as of 2024.
- What is the difference in rice — revealed comparative advantage index between Guyana and United Republic of Tanzania?
- 5.94, with Guyana ahead.
- How many years of comparable data are there for Guyana and United Republic of Tanzania?
- 15 years are reported by both, from 2010 to 2024.
- How do Guyana and United Republic of Tanzania rank globally for rice — revealed comparative advantage index?
- Guyana ranks 4th and United Republic of Tanzania ranks 3rd of 118 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Rice — 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