Canada vs Taiwan: Trading across borders: Time to import (days) (DB06-15 methodology)

Canada
90.32
in 2014
Taiwan
90.32
in 2014
Canada rank
30th
Taiwan rank
30th

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

  • Canada
  • Taiwan
020406080100200520092014

How they compare

Canada currently reports 90.32 against 90.32 in Taiwan, a difference of 0.

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

Canada ranks 30th and Taiwan ranks 30th of 181 countries.

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

Head to head by decade

Decade Canada Taiwan Difference Ahead
2000s 90.32 87.1 3.23 Canada
2010s 90.32 89.03 1.29 Canada

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), Canada or Taiwan?
Canada, at 90.32 against 90.32 in Taiwan as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Canada and Taiwan?
0, with Canada ahead.
How many years of comparable data are there for Canada and Taiwan?
10 years are reported by both, from 2005 to 2014.
How do Canada and Taiwan rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Canada ranks 30th and Taiwan ranks 30th 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.