Bahamas vs Chile: Trading across borders: Time to import (days) (DB06-15 methodology)

Bahamas
85.48
in 2014
Chile
87.1
in 2014
Bahamas rank
43rd
Chile rank
41st

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

  • Bahamas
  • Chile
020406080200520092014

How they compare

Chile currently reports 87.1 against 85.48 in Bahamas, a difference of 1.62.

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

Bahamas ranks 43rd and Chile ranks 41st of 181 countries.

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

Head to head by decade

Decade Bahamas Chile Difference Ahead
2000s 85.48 80.65 4.84 Bahamas
2010s 85.48 84.84 0.6452 Bahamas

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), Bahamas or Chile?
Chile, at 87.1 against 85.48 in Bahamas as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Bahamas and Chile?
1.62, with Chile ahead.
How many years of comparable data are there for Bahamas and Chile?
8 years are reported by both, from 2007 to 2014.
How do Bahamas and Chile rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Bahamas ranks 43rd and Chile ranks 41st 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.