Chile vs United Arab Emirates: Trading across borders: Documents to import (number) (DB06-15 methodol
Chile
76.92
in 2014
United Arab Emirates
76.92
in 2014
Chile rank
27th
United Arab Emirates rank
27th
Trading across borders: Documents to import (number) (DB06-15 methodol over time
- Chile
- United Arab Emirates
How they compare
Chile currently reports 76.92 against 76.92 in United Arab Emirates, a difference of 0.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Chile ahead.
Chile ranks 27th and United Arab Emirates ranks 27th of 181 countries.
Chile has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Chile | United Arab Emirates | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 76.92 | 64.62 | 12.31 | Chile |
| 2010s | 76.92 | 76.92 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: documents to import (number) (db06-15 methodol, Chile or United Arab Emirates?
- Chile, at 76.92 against 76.92 in United Arab Emirates as of 2014.
- What is the difference in trading across borders: documents to import (number) (db06-15 methodol between Chile and United Arab Emirates?
- 0, with Chile ahead.
- How many years of comparable data are there for Chile and United Arab Emirates?
- 10 years are reported by both, from 2005 to 2014.
- How do Chile and United Arab Emirates rank globally for trading across borders: documents to import (number) (db06-15 methodol?
- Chile ranks 27th and United Arab Emirates ranks 27th of 181 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Documents to import (number) (DB06-15 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The score for the number of documents to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.