Brazil vs Kenya: Trading across borders: Cost to import (US$ per container)(DB06-15 met

Brazil
65.3
in 2014
Kenya
64.81
in 2014
Brazil rank
147th
Kenya rank
149th

Trading across borders: Cost to import (US$ per container)(DB06-15 met over time

  • Brazil
  • Kenya
20406080200520092014

How they compare

Brazil currently reports 65.3 against 64.81 in Kenya, a difference of 0.49.

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

Brazil ranks 147th and Kenya ranks 149th of 181 countries.

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

Head to head by decade

Decade Brazil Kenya Difference Ahead
2000s 73.62 40.76 32.86 Brazil
2010s 63.64 59.25 4.38 Brazil

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: cost to import (us$ per container)(db06-15 met, Brazil or Kenya?
Brazil, at 65.3 against 64.81 in Kenya as of 2014.
What is the difference in trading across borders: cost to import (us$ per container)(db06-15 met between Brazil and Kenya?
0.49, with Brazil ahead.
How many years of comparable data are there for Brazil and Kenya?
10 years are reported by both, from 2005 to 2014.
How do Brazil and Kenya rank globally for trading across borders: cost to import (us$ per container)(db06-15 met?
Brazil ranks 147th and Kenya ranks 149th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Cost to import (US$ per container)(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: Cost to import (US$ per container)(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 cost 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.