Qatar vs Seychelles: Trading across borders (DB16-20 methodology) - Score

Qatar
71.51
in 2019
Seychelles
71.79
in 2019
Qatar rank
100th
Seychelles rank
97th

Trading across borders (DB16-20 methodology) - Score over time

  • Qatar
  • Seychelles
020406080201420162019

How they compare

Seychelles currently reports 71.79 against 71.51 in Qatar, a difference of 0.28.

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

Qatar ranks 100th and Seychelles ranks 97th of 188 countries.

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

Frequently asked questions

Which has higher trading across borders (db16-20 methodology) - score, Qatar or Seychelles?
Seychelles, at 71.79 against 71.51 in Qatar as of 2019.
What is the difference in trading across borders (db16-20 methodology) - score between Qatar and Seychelles?
0.28, with Seychelles ahead.
How many years of comparable data are there for Qatar and Seychelles?
6 years are reported by both, from 2014 to 2019.
How do Qatar and Seychelles rank globally for trading across borders (db16-20 methodology) - score?
Qatar ranks 100th and Seychelles ranks 97th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders (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 (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

Doing Business measures the time and cost associated with three sets of procedures of exporting and importing goods —documentary compliance, border compliance and domestic transport—within the overall process of exporting or importing a shipment of goods. The score for trading across borders is the simple average of the scores for the time and cost for documentary compliance and border compliance to export and import. It is computed based on the methodology in the DB16-20 studies.