Bhutan vs Nepal: Trading across borders: Time to export (days) (DB06-15 methodology)

Bhutan
33.33
in 2014
Nepal
29.17
in 2014
Bhutan rank
161st
Nepal rank
162nd

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

  • Bhutan
  • Nepal
0102030200520092014

How they compare

Bhutan currently reports 33.33 against 29.17 in Nepal, a difference of 4.16.

That makes Bhutan's figure about 1.1 times Nepal's.

Across all 10 years both countries report, Bhutan has been ahead every year.

Bhutan ranks 161st and Nepal ranks 162nd of 181 countries.

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

Head to head by decade

Decade Bhutan Nepal Difference Ahead
2000s 33.33 24.58 8.75 Bhutan
2010s 33.33 27.08 6.25 Bhutan

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), Bhutan or Nepal?
Bhutan, at 33.33 against 29.17 in Nepal as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Bhutan and Nepal?
4.16, with Bhutan ahead.
How many years of comparable data are there for Bhutan and Nepal?
10 years are reported by both, from 2005 to 2014.
How do Bhutan and Nepal rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Bhutan ranks 161st and Nepal ranks 162nd 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.