Jordan vs Rwanda: Trading across borders: Time to import: Border compliance (hours) (DB1

Jordan
72.09
in 2019
Rwanda
74.01
in 2019
Jordan rank
121st
Rwanda rank
118th

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

  • Jordan
  • Rwanda
020406080100201420162019

How they compare

Rwanda currently reports 74.01 against 72.09 in Jordan, a difference of 1.92.

The two have swapped places 2 times across 6 shared years of data; in 2014 it was Rwanda ahead.

Jordan ranks 121st and Rwanda ranks 118th of 188 countries.

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

Frequently asked questions

Which has higher trading across borders: time to import: border compliance (hours) (db1, Jordan or Rwanda?
Rwanda, at 74.01 against 72.09 in Jordan as of 2019.
What is the difference in trading across borders: time to import: border compliance (hours) (db1 between Jordan and Rwanda?
1.92, with Rwanda ahead.
How many years of comparable data are there for Jordan and Rwanda?
6 years are reported by both, from 2014 to 2019.
How do Jordan and Rwanda rank globally for trading across borders: time to import: border compliance (hours) (db1?
Jordan ranks 121st and Rwanda ranks 118th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to import: 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 import: 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 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.