Marshall Islands vs Peru: Trading across borders: Documents to export (number) (DB06-15 methodol

Marshall Islands
66.67
in 2014
Peru
66.67
in 2014
Marshall Islands rank
44th
Peru rank
44th

Trading across borders: Documents to export (number) (DB06-15 methodol over time

  • Marshall Islands
  • Peru
0204060200520092014

How they compare

Marshall Islands currently reports 66.67 against 66.67 in Peru, a difference of 0.

Across all 10 years both countries report, Peru has been ahead every year.

Marshall Islands ranks 44th and Peru ranks 44th of 181 countries.

Head to head by decade

Decade Marshall Islands Peru Difference Ahead
2000s 66.67 66.67 0
2010s 66.67 66.67 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: documents to export (number) (db06-15 methodol, Marshall Islands or Peru?
Marshall Islands, at 66.67 against 66.67 in Peru as of 2014.
What is the difference in trading across borders: documents to export (number) (db06-15 methodol between Marshall Islands and Peru?
0, with Marshall Islands ahead.
How many years of comparable data are there for Marshall Islands and Peru?
10 years are reported by both, from 2005 to 2014.
How do Marshall Islands and Peru rank globally for trading across borders: documents to export (number) (db06-15 methodol?
Marshall Islands ranks 44th and Peru ranks 44th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Documents to export (number) (DB06-15 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: Documents to export (number) (DB06-15 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 1,813 data points, 2005–2014
Last refreshed

The score for the number of documents 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 DB06-15 studies.