South Korea vs Seychelles: Trading across borders: Cost to import (US$ per container)(DB06-15 met
South Korea
94.2
in 2014
Seychelles
94.56
in 2014
South Korea rank
16th
Seychelles rank
13th
Trading across borders: Cost to import (US$ per container)(DB06-15 met over time
- South Korea
- Seychelles
How they compare
Seychelles currently reports 94.56 against 94.2 in South Korea, a difference of 0.36.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was South Korea ahead.
South Korea ranks 16th and Seychelles ranks 13th of 181 countries.
South Korea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | South Korea | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 90.86 | 75.71 | 15.15 | South Korea |
| 2010s | 94.68 | 91.19 | 3.49 | South Korea |
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 met, South Korea or Seychelles?
- Seychelles, at 94.56 against 94.2 in South Korea as of 2014.
- What is the difference in trading across borders: cost to import (us$ per container)(db06-15 met between South Korea and Seychelles?
- 0.36, with Seychelles ahead.
- How many years of comparable data are there for South Korea and Seychelles?
- 10 years are reported by both, from 2005 to 2014.
- How do South Korea and Seychelles rank globally for trading across borders: cost to import (us$ per container)(db06-15 met?
- South Korea ranks 16th and Seychelles ranks 13th of 181 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.