Guinea vs Lesotho: Import quality, Mean, US dollar
Import quality, Mean, US dollar over time
- Guinea
- Lesotho
How they compare
Lesotho currently reports 0.7614 against 0.751 in Guinea, a difference of 0.0104.
The two have swapped places 4 times across 14 shared years of data; in 2001 it was Lesotho ahead.
Guinea ranks 153rd and Lesotho ranks 152nd of 166 countries.
Across the 2 decades both report, Guinea averaged higher in 1 and Lesotho in 1.
Head to head by decade
| Decade | Guinea | Lesotho | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.8504 | 0.9972 | 0.1468 | Lesotho |
| 2010s | 0.779 | 0.7744 | 0.0046 | Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher import quality, mean, us dollar, Guinea or Lesotho?
- Lesotho, at 0.7614 against 0.751 in Guinea as of 2014.
- What is the difference in import quality, mean, us dollar between Guinea and Lesotho?
- 0.0104, with Lesotho ahead.
- How many years of comparable data are there for Guinea and Lesotho?
- 14 years are reported by both, from 2001 to 2014.
- How do Guinea and Lesotho rank globally for import quality, mean, us dollar?
- Guinea ranks 153rd and Lesotho ranks 152nd 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.