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

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

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

  • Angola
  • Mongolia
0102030200520092014

How they compare

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

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

The two have swapped places 1 time across 10 shared years of data; in 2005 it was Mongolia ahead.

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

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

Head to head by decade

Decade Angola Mongolia Difference Ahead
2000s 0 22.08 22.08 Mongolia
2010s 17.5 23.33 5.83 Mongolia

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), Angola or Mongolia?
Angola, 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 Angola and Mongolia?
8.34, with Angola ahead.
How many years of comparable data are there for Angola and Mongolia?
10 years are reported by both, from 2005 to 2014.
How do Angola and Mongolia rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Angola ranks 162nd and Mongolia ranks 165th 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.