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

Mongolia
20.83
in 2014
Nepal
29.17
in 2014
Mongolia rank
165th
Nepal rank
162nd

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

  • Mongolia
  • Nepal
0102030200520092014

How they compare

Nepal currently reports 29.17 against 20.83 in Mongolia, a difference of 8.34.

That makes Nepal's figure about 1.4 times Mongolia's.

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

Mongolia ranks 165th and Nepal ranks 162nd of 181 countries.

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

Head to head by decade

Decade Mongolia Nepal Difference Ahead
2000s 22.08 24.58 2.5 Nepal
2010s 23.33 27.08 3.75 Nepal

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), Mongolia or Nepal?
Nepal, at 29.17 against 20.83 in Mongolia as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Mongolia and Nepal?
8.34, with Nepal ahead.
How many years of comparable data are there for Mongolia and Nepal?
10 years are reported by both, from 2005 to 2014.
How do Mongolia and Nepal rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Mongolia ranks 165th 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.