Benin vs Seychelles: Trading across borders: Time to export: Border compliance (hours) (DB1

Benin
51.57
in 2019
Seychelles
49.06
in 2019
Benin rank
138th
Seychelles rank
141st

Trading across borders: Time to export: Border compliance (hours) (DB1 over time

  • Benin
  • Seychelles
1020304050201420162019

How they compare

Benin currently reports 51.57 against 49.06 in Seychelles, a difference of 2.51.

That makes Benin's figure about 1.1 times Seychelles's.

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

Benin ranks 138th and Seychelles ranks 141st 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: time to export: border compliance (hours) (db1, Benin or Seychelles?
Benin, at 51.57 against 49.06 in Seychelles as of 2019.
What is the difference in trading across borders: time to export: border compliance (hours) (db1 between Benin and Seychelles?
2.51, with Benin ahead.
How many years of comparable data are there for Benin and Seychelles?
6 years are reported by both, from 2014 to 2019.
How do Benin and Seychelles rank globally for trading across borders: time to export: border compliance (hours) (db1?
Benin ranks 138th and Seychelles ranks 141st of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export: Border 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: Border 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 border 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.