Kazakhstan vs Myanmar: Trading across borders: Time to export: Documentary compliance (hours)

Kazakhstan
24.85
in 2019
Myanmar
15.38
in 2019
Kazakhstan rank
169th
Myanmar rank
172nd

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

  • Kazakhstan
  • Myanmar
0510152025201420162019

How they compare

Kazakhstan currently reports 24.85 against 15.38 in Myanmar, a difference of 9.47.

That makes Kazakhstan's figure about 1.6 times Myanmar's.

Across all 6 years both countries report, Kazakhstan has been ahead every year.

Kazakhstan ranks 169th and Myanmar ranks 172nd of 188 countries.

Kazakhstan 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), Kazakhstan or Myanmar?
Kazakhstan, at 24.85 against 15.38 in Myanmar as of 2019.
What is the difference in trading across borders: time to export: documentary compliance (hours) between Kazakhstan and Myanmar?
9.47, with Kazakhstan ahead.
How many years of comparable data are there for Kazakhstan and Myanmar?
6 years are reported by both, from 2014 to 2019.
How do Kazakhstan and Myanmar rank globally for trading across borders: time to export: documentary compliance (hours)?
Kazakhstan ranks 169th and Myanmar ranks 172nd 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.