Bahrain vs Brunei: Trading across borders: Time to import (days) (DB06-15 methodology)

Bahrain
82.26
in 2014
Brunei
82.26
in 2014
Bahrain rank
64th
Brunei rank
64th

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

  • Bahrain
  • Brunei
020406080200620102014

How they compare

Bahrain currently reports 82.26 against 82.26 in Brunei, a difference of 0.

The two have swapped places 1 time across 8 shared years of data; in 2007 it was Bahrain ahead.

Bahrain ranks 64th and Brunei ranks 64th of 181 countries.

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

Head to head by decade

Decade Bahrain Brunei Difference Ahead
2000s 82.26 75.81 6.45 Bahrain
2010s 82.26 80.65 1.61 Bahrain

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), Bahrain or Brunei?
Bahrain, at 82.26 against 82.26 in Brunei as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Bahrain and Brunei?
0, with Bahrain ahead.
How many years of comparable data are there for Bahrain and Brunei?
8 years are reported by both, from 2007 to 2014.
How do Bahrain and Brunei rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Bahrain ranks 64th and Brunei ranks 64th 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.