Bangladesh vs Côte d'Ivoire: Trading across borders: Time to import (days) (DB06-15 methodology)
Bangladesh
52.32
in 2014
Côte d'Ivoire
54.84
in 2014
Bangladesh rank
152nd
Côte d'Ivoire rank
150th
Trading across borders: Time to import (days) (DB06-15 methodology) over time
- Bangladesh
- Côte d'Ivoire
How they compare
Côte d'Ivoire currently reports 54.84 against 52.32 in Bangladesh, a difference of 2.52.
The two have swapped places 2 times across 10 shared years of data; in 2005 it was Côte d'Ivoire ahead.
Bangladesh ranks 152nd and Côte d'Ivoire ranks 150th of 184 countries.
Côte d'Ivoire has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Bangladesh | Côte d'Ivoire | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 30 | 39.35 | 9.35 | Côte d'Ivoire |
| 2010s | 47.7 | 50.97 | 3.26 | Côte d'Ivoire |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: time to import (days) (db06-15 methodology), Bangladesh or Côte d'Ivoire?
- Côte d'Ivoire, at 54.84 against 52.32 in Bangladesh as of 2014.
- What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Bangladesh and Côte d'Ivoire?
- 2.52, with Côte d'Ivoire ahead.
- How many years of comparable data are there for Bangladesh and Côte d'Ivoire?
- 10 years are reported by both, from 2005 to 2014.
- How do Bangladesh and Côte d'Ivoire rank globally for trading across borders: time to import (days) (db06-15 methodology)?
- Bangladesh ranks 152nd and Côte d'Ivoire ranks 150th of 184 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to import (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 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.