Comoros vs Mongolia: Import quality, Mean, US dollar
Import quality, Mean, US dollar over time
- Comoros
- Mongolia
How they compare
Comoros currently reports 0.7375 against 0.679 in Mongolia, a difference of 0.0585.
That makes Comoros's figure about 1.1 times Mongolia's.
The two have swapped places 9 times across 45 shared years of data; in 1970 it was Mongolia ahead.
Comoros ranks 158th and Mongolia ranks 161st of 166 countries.
Mongolia has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Comoros | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.9349 | 1.03 | 0.0982 | Mongolia |
| 1980s | 0.9129 | 0.9826 | 0.0697 | Mongolia |
| 1990s | 0.7889 | 0.8898 | 0.101 | Mongolia |
| 2000s | 0.6579 | 0.939 | 0.2811 | Mongolia |
| 2010s | 0.7436 | 0.7744 | 0.0308 | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher import quality, mean, us dollar, Comoros or Mongolia?
- Comoros, at 0.7375 against 0.679 in Mongolia as of 2014.
- What is the difference in import quality, mean, us dollar between Comoros and Mongolia?
- 0.0585, with Comoros ahead.
- How many years of comparable data are there for Comoros and Mongolia?
- 45 years are reported by both, from 1970 to 2014.
- How do Comoros and Mongolia rank globally for import quality, mean, us dollar?
- Comoros ranks 158th and Mongolia ranks 161st of 166 countries.
- Where does this data come from?
- International Monetary Fund, published as Import quality, Mean, US dollar (ACM1. Agricultural products). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides export quality indicators for over 800 products across 166 countries from 1963 to 2014, resulting in over 1.7 million observations. Higher index values indicate higher quality, and the index is normalized with a value of 1 representing the 90th percentile of export quality among all exporters (the world frontier). Data can be aggregated at various levels, including by product according to the Standard International Trade Classification (SITC) up to the 4-digit level, by Broad Economic Categories (BEC) up to the 3-digit level, and by aggregate sectors such as Agriculture, Commodities, and Manufactures.