Equatorial Guinea vs Maldives: Trading across borders: Cost to import (US$ per container)(DB06-15)
Equatorial Guinea
78.13
in 2014
Maldives
77.95
in 2014
Equatorial Guinea rank
116th
Maldives rank
119th
Trading across borders: Cost to import (US$ per container)(DB06-15) over time
- Equatorial Guinea
- Maldives
How they compare
Equatorial Guinea currently reports 78.13 against 77.95 in Maldives, a difference of 0.18.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Maldives ahead.
Equatorial Guinea ranks 116th and Maldives ranks 119th of 183 countries.
Maldives has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Equatorial Guinea | Maldives | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 57.36 | 73.65 | 16.29 | Maldives |
| 2010s | 71.88 | 76.58 | 4.7 | Maldives |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trading across borders: cost to import (us$ per container)(db06-15), Equatorial Guinea or Maldives?
- Equatorial Guinea, at 78.13 against 77.95 in Maldives as of 2014.
- What is the difference in trading across borders: cost to import (us$ per container)(db06-15) between Equatorial Guinea and Maldives?
- 0.18, with Equatorial Guinea ahead.
- How many years of comparable data are there for Equatorial Guinea and Maldives?
- 10 years are reported by both, from 2005 to 2014.
- How do Equatorial Guinea and Maldives rank globally for trading across borders: cost to import (us$ per container)(db06-15)?
- Equatorial Guinea ranks 116th and Maldives ranks 119th of 183 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Cost to import (US$ per container)(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 cost 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.