Getting credit (DB15-20 methodology) - Score in Peru
Peru: Getting credit (DB15-20 methodology) - Score was 75 in 2019. ▬ Flat
Getting credit (DB15-20 methodology) - Score in Peru, 2013–2019
Source: World Bank.
Analysis
In 2019, getting credit (db15-20 methodology) - score in Peru stood at 75. That is the highest value across all 7 years on record.
That represents a change of unchanged over ten years.
Peru ranks 36th of 188 countries on this measure, in the top quarter.
Countries ranked near Peru
More private sector data for Peru
- Merchandise trade 42.8% (2025)
- Food imports 11.9% (2024)
- Manufactures imports 68.2% (2024)
- Merchandise imports 60.63 billion current US$ (2025)
- Food exports 21.2% (2024)
- Manufactures exports 7.4% (2024)
- Merchandise exports 82.69 billion current US$ (2025)
- Commercial service exports 7.45 billion current US$ (2025)
- Transport services 32.3% (2025)
- Computer, communications and other services 34.7% (2025)
Frequently asked questions
- What is getting credit (db15-20 methodology) - score in Peru?
- Getting credit (db15-20 methodology) - score in Peru was 75 in 2019, according to the World Bank.
- What is the highest getting credit (db15-20 methodology) - score recorded in Peru?
- The highest recorded value was 75 in 2013.
- What is the lowest getting credit (db15-20 methodology) - score recorded in Peru?
- The lowest recorded value was 75 in 2013.
- How does Peru rank for getting credit (db15-20 methodology) - score?
- Peru ranks 36th out of 188 countries with data for 2019.
- Is getting credit (db15-20 methodology) - score rising or falling in Peru?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Peru data come from?
- The figures come from the World Bank, published as part of Getting credit (DB15-20 methodology) - Score. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 7 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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.