Guinea vs San Marino: Protecting minority investors (DB15-20 methodology) - Score

Guinea
26
in 2019
San Marino
26
in 2019
Guinea rank
162nd
San Marino rank
162nd

Protecting minority investors (DB15-20 methodology) - Score over time

  • Guinea
  • San Marino
0102030201320162019

How they compare

Guinea currently reports 26 against 26 in San Marino, a difference of 0.

Across all 7 years both countries report, San Marino has been ahead every year.

Guinea ranks 162nd and San Marino ranks 162nd of 190 countries.

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

Frequently asked questions

Which has higher protecting minority investors (db15-20 methodology) - score, Guinea or San Marino?
Guinea, at 26 against 26 in San Marino as of 2019.
What is the difference in protecting minority investors (db15-20 methodology) - score between Guinea and San Marino?
0, with Guinea ahead.
How many years of comparable data are there for Guinea and San Marino?
7 years are reported by both, from 2013 to 2019.
How do Guinea and San Marino rank globally for protecting minority investors (db15-20 methodology) - score?
Guinea ranks 162nd and San Marino ranks 162nd of 190 countries.
Where does this data come from?
The World Bank, published as Protecting minority investors (DB15-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Guinea vs San Marino: Protecting minority investors (DB15-20 methodology) - Score. Statizoid. Retrieved 23 August 2026, from https://reference.statizoid.com/compare/protecting-minority-investors-db15-20-methodology-score/guinea/san-marino/

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About this data

Indicator
Protecting minority investors (DB15-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 1,330 data points, 2013–2019
Last refreshed

The score for protecting minority investors 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.