Liberia vs Qatar: Trading across borders: Time to export (days) (DB06-15 methodology)

Liberia
81.25
in 2014
Qatar
81.25
in 2014
Liberia rank
63rd
Qatar rank
63rd

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

  • Liberia
  • Qatar
020406080200620102014

How they compare

Liberia currently reports 81.25 against 81.25 in Qatar, a difference of 0.

The two have swapped places 1 time across 8 shared years of data; in 2007 it was Liberia ahead.

Liberia ranks 63rd and Qatar ranks 63rd of 181 countries.

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

Head to head by decade

Decade Liberia Qatar Difference Ahead
2000s 72.92 68.75 4.17 Liberia
2010s 80.42 74.58 5.83 Liberia

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), Liberia or Qatar?
Liberia, at 81.25 against 81.25 in Qatar as of 2014.
What is the difference in trading across borders: time to export (days) (db06-15 methodology) between Liberia and Qatar?
0, with Liberia ahead.
How many years of comparable data are there for Liberia and Qatar?
8 years are reported by both, from 2007 to 2014.
How do Liberia and Qatar rank globally for trading across borders: time to export (days) (db06-15 methodology)?
Liberia ranks 63rd and Qatar ranks 63rd 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.