Argentina vs Myanmar: Cotton seed — Self-sufficiency ratio
Cotton seed — Self-sufficiency ratio over time
- Argentina
- Myanmar
How they compare
Argentina currently reports 1.01 against 1 in Myanmar, a difference of 0.01.
The two have swapped places 2 times across 9 shared years of data; in 2010 it was Argentina ahead.
Argentina ranks 21st and Myanmar ranks 22nd of 59 countries.
Across the 2 decades both report, Argentina averaged higher in 1 and Myanmar in 1.
Head to head by decade
| Decade | Argentina | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1.07 | 1.01 | 0.06 | Argentina |
| 2020s | 1.01 | 1.04 | 0.03 | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cotton seed — self-sufficiency ratio, Argentina or Myanmar?
- Argentina, at 1.01 against 1 in Myanmar as of 2022.
- What is the difference in cotton seed — self-sufficiency ratio between Argentina and Myanmar?
- 0.01, with Argentina ahead.
- How many years of comparable data are there for Argentina and Myanmar?
- 9 years are reported by both, from 2010 to 2022.
- How do Argentina and Myanmar rank globally for cotton seed — self-sufficiency ratio?
- Argentina ranks 21st and Myanmar ranks 22nd of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cotton seed — Self-sufficiency ratio. 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