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

Comoros
67.74
in 2014
Ecuador
67.74
in 2014
Comoros rank
109th
Ecuador rank
109th

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

  • Comoros
  • Ecuador
0204060200520092014

How they compare

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

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

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

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

Head to head by decade

Decade Comoros Ecuador Difference Ahead
2000s 67.74 45.16 22.58 Comoros
2010s 67.74 65.16 2.58 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), Comoros or Ecuador?
Comoros, at 67.74 against 67.74 in Ecuador as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Comoros and Ecuador?
0, with Comoros ahead.
How many years of comparable data are there for Comoros and Ecuador?
10 years are reported by both, from 2005 to 2014.
How do Comoros and Ecuador rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Comoros ranks 109th and Ecuador 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.