Marshall Islands vs Samoa: Trading across borders: Time to export: Documentary compliance (hours)

Marshall Islands
86.39
in 2019
Samoa
86.39
in 2019
Marshall Islands rank
80th
Samoa rank
80th

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

  • Marshall Islands
  • Samoa
020406080201420162019

How they compare

Marshall Islands currently reports 86.39 against 86.39 in Samoa, a difference of 0.

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

Marshall Islands ranks 80th and Samoa ranks 80th of 188 countries.

Frequently asked questions

Which has higher trading across borders: time to export: documentary compliance (hours), Marshall Islands or Samoa?
Marshall Islands, at 86.39 against 86.39 in Samoa as of 2019.
What is the difference in trading across borders: time to export: documentary compliance (hours) between Marshall Islands and Samoa?
0, with Marshall Islands ahead.
How many years of comparable data are there for Marshall Islands and Samoa?
6 years are reported by both, from 2014 to 2019.
How do Marshall Islands and Samoa rank globally for trading across borders: time to export: documentary compliance (hours)?
Marshall Islands ranks 80th and Samoa ranks 80th of 188 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to export: Documentary 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: Documentary 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 documentary 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.