Marshall Islands vs Tunisia: Getting credit (DB15-20 methodology) - Score

Marshall Islands
50
in 2019
Tunisia
50
in 2019
Marshall Islands rank
105th
Tunisia rank
105th

Getting credit (DB15-20 methodology) - Score over time

  • Marshall Islands
  • Tunisia
01020304050201320162019

How they compare

Marshall Islands currently reports 50 against 50 in Tunisia, a difference of 0.

The two have swapped places 1 time across 7 shared years of data; in 2013 it was Marshall Islands ahead.

Marshall Islands ranks 105th and Tunisia ranks 105th of 191 countries.

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

Frequently asked questions

Which has higher getting credit (db15-20 methodology) - score, Marshall Islands or Tunisia?
Marshall Islands, at 50 against 50 in Tunisia as of 2019.
What is the difference in getting credit (db15-20 methodology) - score between Marshall Islands and Tunisia?
0, with Marshall Islands ahead.
How many years of comparable data are there for Marshall Islands and Tunisia?
7 years are reported by both, from 2013 to 2019.
How do Marshall Islands and Tunisia rank globally for getting credit (db15-20 methodology) - score?
Marshall Islands ranks 105th and Tunisia ranks 105th of 191 countries.
Where does this data come from?
The World Bank, published as Getting credit (DB15-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Marshall Islands vs Tunisia: Getting credit (DB15-20 methodology) - Score. Statizoid. Retrieved 07 October 2026, from https://private-sector.statizoid.com/compare/getting-credit-db15-20-methodology-score/marshall-islands/tunisia/

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About this data

Indicator
Getting credit (DB15-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
191 places, 1,335 data points, 2013–2019
Last refreshed

The score for getting credit benchmarks economies with respect to the regulatory best practice on the indicator set. The score is indicated on a scale 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 DB15-20 studies.