Central African Republic vs Mongolia: Trading across borders: Time to export (days) (DB06-15 methodology)
Trading across borders: Time to export (days) (DB06-15 methodology) over time
- Central African Republic
- Mongolia
How they compare
Mongolia currently reports 20.83 against 16.67 in Central African Republic, a difference of 4.16.
That makes Mongolia's figure about 1.2 times Central African Republic's.
Across all 10 years both countries report, Mongolia has been ahead every year.
Central African Republic ranks 168th and Mongolia ranks 165th of 181 groups.
Mongolia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Central African Republic | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 | 22.08 | 22.08 | Mongolia |
| 2010s | 6.67 | 23.33 | 16.67 | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: time to export (days) (db06-15 methodology), Central African Republic or Mongolia?
- Mongolia, at 20.83 against 16.67 in Central African Republic as of 2014.
- What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Central African Republic and Mongolia?
- 4.16, with Mongolia ahead.
- How many years of comparable data are there for Central African Republic and Mongolia?
- 10 years are reported by both, from 2005 to 2014.
- How do Central African Republic and Mongolia rank globally for trading across borders: time to export (days) (db06-15 methodology)?
- Central African Republic ranks 168th and Mongolia ranks 165th of 181 groups.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to export (days) (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 time to export 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.