Kenya vs Rwanda: Trading across borders: Time to export (days) (DB06-15 methodology)

Kenya
58.33
in 2014
Rwanda
58.33
in 2014
Kenya rank
138th
Rwanda rank
138th

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

  • Kenya
  • Rwanda
0204060200520092014

How they compare

Kenya currently reports 58.33 against 58.33 in Rwanda, a difference of 0.

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

Kenya ranks 138th and Rwanda ranks 138th of 181 countries.

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

Head to head by decade

Decade Kenya Rwanda Difference Ahead
2000s 46.25 14.58 31.67 Kenya
2010s 58.33 52.08 6.25 Kenya

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), Kenya or Rwanda?
Kenya, at 58.33 against 58.33 in Rwanda as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Kenya and Rwanda?
0, with Kenya ahead.
How many years of comparable data are there for Kenya and Rwanda?
10 years are reported by both, from 2005 to 2014.
How do Kenya and Rwanda rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Kenya ranks 138th and Rwanda ranks 138th 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.