Mali vs Nigeria: Trading across borders: Time to import (days) (DB06-15 methodology)

Mali
51.61
in 2014
Nigeria
51.74
in 2014
Mali rank
151st
Nigeria rank
150th

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

  • Mali
  • Nigeria
0204060200520092014

How they compare

Nigeria currently reports 51.74 against 51.61 in Mali, a difference of 0.13.

The two have swapped places 2 times across 10 shared years of data; in 2005 it was Nigeria ahead.

Mali ranks 151st and Nigeria ranks 150th of 181 countries.

Across the 2 decades both report, Mali averaged higher in 1 and Nigeria in 1.

Head to head by decade

Decade Mali Nigeria Difference Ahead
2000s 14.52 32.9 18.39 Nigeria
2010s 50.32 46.83 3.5 Mali

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), Mali or Nigeria?
Nigeria, at 51.74 against 51.61 in Mali as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Mali and Nigeria?
0.13, with Nigeria ahead.
How many years of comparable data are there for Mali and Nigeria?
10 years are reported by both, from 2005 to 2014.
How do Mali and Nigeria rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Mali ranks 151st and Nigeria ranks 150th 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.