Jordan vs Sri Lanka: Import quality, Mean, US dollar
Import quality, Mean, US dollar over time
- Jordan
- Sri Lanka
How they compare
Jordan currently reports 0.8453 against 0.842 in Sri Lanka, a difference of 0.0033.
The two have swapped places 8 times across 52 shared years of data; in 1963 it was Jordan ahead.
Jordan ranks 123rd and Sri Lanka ranks 125th of 166 countries.
Across the 6 decades both report, Jordan averaged higher in 4 and Sri Lanka in 2.
Head to head by decade
| Decade | Jordan | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.9842 | 0.8423 | 0.1419 | Jordan |
| 1970s | 0.935 | 0.8579 | 0.0772 | Jordan |
| 1980s | 0.8034 | 0.8575 | 0.0541 | Sri Lanka |
| 1990s | 0.7736 | 0.8326 | 0.059 | Sri Lanka |
| 2000s | 0.8216 | 0.8089 | 0.0126 | Jordan |
| 2010s | 0.8845 | 0.8322 | 0.0523 | Jordan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher import quality, mean, us dollar, Jordan or Sri Lanka?
- Jordan, at 0.8453 against 0.842 in Sri Lanka as of 2014.
- What is the difference in import quality, mean, us dollar between Jordan and Sri Lanka?
- 0.0033, with Jordan ahead.
- How many years of comparable data are there for Jordan and Sri Lanka?
- 52 years are reported by both, from 1963 to 2014.
- How do Jordan and Sri Lanka rank globally for import quality, mean, us dollar?
- Jordan ranks 123rd and Sri Lanka ranks 125th 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.