Brunei vs Mongolia: Trading across borders: Time to export: Documentary compliance (hours)

Brunei
8.88
in 2019
Mongolia
1.18
in 2019
Brunei rank
178th
Mongolia rank
179th

Trading across borders: Time to export: Documentary compliance (hours) over time

  • Brunei
  • Mongolia
2468201420162019

How they compare

Brunei currently reports 8.88 against 1.18 in Mongolia, a difference of 7.7.

That makes Brunei's figure about 7.5 times Mongolia's.

The two have swapped places 1 time across 6 shared years of data; in 2014 it was Mongolia ahead.

Brunei ranks 178th and Mongolia ranks 179th of 188 countries.

Brunei has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher trading across borders: time to export: documentary compliance (hours), Brunei or Mongolia?
Brunei, at 8.88 against 1.18 in Mongolia as of 2019.
What is the difference in trading across borders: time to export: documentary compliance (hours) between Brunei and Mongolia?
7.7, with Brunei ahead.
How many years of comparable data are there for Brunei and Mongolia?
6 years are reported by both, from 2014 to 2019.
How do Brunei and Mongolia rank globally for trading across borders: time to export: documentary compliance (hours)?
Brunei ranks 178th and Mongolia ranks 179th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export: Documentary compliance (hours) (DB16-20 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: Documentary compliance (hours) (DB16-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 1,139 data points, 2014–2019
Last refreshed

The score for the time for documentary compliance 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 DB16-20 studies.