Cambodia vs Comoros: Trading across borders: Time to import (days) (DB06-15 methodology)

Cambodia
67.74
in 2014
Comoros
67.74
in 2014
Cambodia rank
109th
Comoros rank
109th

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

  • Cambodia
  • Comoros
203040506070200520092014

How they compare

Cambodia currently reports 67.74 against 67.74 in Comoros, a difference of 0.

Across all 10 years both countries report, Comoros has been ahead every year.

Cambodia ranks 109th and Comoros ranks 109th of 181 countries.

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

Head to head by decade

Decade Cambodia Comoros Difference Ahead
2000s 41.29 67.74 26.45 Comoros
2010s 65.81 67.74 1.94 Comoros

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), Cambodia or Comoros?
Cambodia, at 67.74 against 67.74 in Comoros as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Cambodia and Comoros?
0, with Cambodia ahead.
How many years of comparable data are there for Cambodia and Comoros?
10 years are reported by both, from 2005 to 2014.
How do Cambodia and Comoros rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Cambodia ranks 109th and Comoros ranks 109th 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.