Comoros vs Sudan: Trading across borders: Time to export (days) (DB06-15 methodology)

Comoros
47.92
in 2014
Sudan
45.83
in 2014
Comoros rank
154th
Sudan rank
157th

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

  • Comoros
  • Sudan
01020304050200520092014

How they compare

Comoros currently reports 47.92 against 45.83 in Sudan, a difference of 2.09.

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

Comoros ranks 154th and Sudan ranks 157th of 181 countries.

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

Head to head by decade

Decade Comoros Sudan Difference Ahead
2000s 47.92 23.33 24.58 Comoros
2010s 47.92 45.83 2.08 Comoros

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: time to export (days) (db06-15 methodology), Comoros or Sudan?
Comoros, at 47.92 against 45.83 in Sudan as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Comoros and Sudan?
2.09, with Comoros ahead.
How many years of comparable data are there for Comoros and Sudan?
10 years are reported by both, from 2005 to 2014.
How do Comoros and Sudan rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Comoros ranks 154th and Sudan ranks 157th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export (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 export (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 export 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.