Congo vs Qatar: Trading across borders: Cost to import: Documentary compliance (USD) (

Congo
55.71
in 2019
Qatar
58.57
in 2019
Congo rank
161st
Qatar rank
158th

Trading across borders: Cost to import: Documentary compliance (USD) ( over time

  • Congo
  • Qatar
0204060201420162019

How they compare

Qatar currently reports 58.57 against 55.71 in Congo, a difference of 2.86.

That makes Qatar's figure about 1.1 times Congo's.

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

Congo ranks 161st and Qatar ranks 158th of 188 countries.

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

Frequently asked questions

Which has higher trading across borders: cost to import: documentary compliance (usd) (, Congo or Qatar?
Qatar, at 58.57 against 55.71 in Congo as of 2019.
What is the difference in trading across borders: cost to import: documentary compliance (usd) ( between Congo and Qatar?
2.86, with Qatar ahead.
How many years of comparable data are there for Congo and Qatar?
6 years are reported by both, from 2014 to 2019.
How do Congo and Qatar rank globally for trading across borders: cost to import: documentary compliance (usd) (?
Congo ranks 161st and Qatar ranks 158th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Cost to import: Documentary compliance (USD) (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: Cost to import: Documentary compliance (USD) (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 cost for documentary compliance to import 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.