Germany vs South Korea: Trading across borders: Time to import (days) (DB06-15 methodology)

Germany
95.16
in 2014
South Korea
95.16
in 2014
Germany rank
10th
South Korea rank
10th

Trading across borders: Time to import (days) (DB06-15 methodology) over time

  • Germany
  • South Korea
020406080100200520092014

How they compare

Germany currently reports 95.16 against 95.16 in South Korea, a difference of 0.

The two have swapped places 1 time across 10 shared years of data; in 2005 it was Germany ahead.

Germany ranks 10th and South Korea ranks 10th of 181 countries.

Germany has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Germany South Korea Difference Ahead
2000s 95.16 90.32 4.84 Germany
2010s 95.16 95.16 0

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), Germany or South Korea?
Germany, at 95.16 against 95.16 in South Korea as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Germany and South Korea?
0, with Germany ahead.
How many years of comparable data are there for Germany and South Korea?
10 years are reported by both, from 2005 to 2014.
How do Germany and South Korea rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Germany ranks 10th and South Korea ranks 10th of 181 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

Indicator
Trading across borders: Time to import (days) (DB06-15 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 1,813 data points, 2005–2014
Last refreshed

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.