Getting credit (DB15-20 methodology) - Score in Eritrea
Eritrea: Getting credit (DB15-20 methodology) - Score was 0 in 2019. ▬ Flat
Getting credit (DB15-20 methodology) - Score in Eritrea, 2013–2019
Source: World Bank.
Analysis
Eritrea recorded 0 for getting credit (db15-20 methodology) - score in 2019. That is the highest value across all 7 years on record.
Eritrea ranks 184th of 188 countries on this measure, in the bottom quarter.
Countries ranked near Eritrea
More private sector data for Eritrea
- Merchandise trade 29.4% (2025)
- Merchandise imports 524.00 million current US$ (2025)
- Merchandise exports 631.00 million current US$ (2025)
- Commercial service exports 54.12 million current US$ (2000)
- Computer, communications and other services 21.3% (2000)
- Commercial service imports 23.69 million current US$ (2000)
- Computer, communications and other services 16.6% (2000)
- Travel services 49.3% (2000)
- Travel services 64.2% (2000)
- Transport services 18.2% (2000)
Frequently asked questions
- What is getting credit (db15-20 methodology) - score in Eritrea?
- Getting credit (db15-20 methodology) - score in Eritrea was 0 in 2019, according to the World Bank.
- What is the highest getting credit (db15-20 methodology) - score recorded in Eritrea?
- The highest recorded value was 0 in 2013.
- What is the lowest getting credit (db15-20 methodology) - score recorded in Eritrea?
- The lowest recorded value was 0 in 2013.
- How does Eritrea rank for getting credit (db15-20 methodology) - score?
- Eritrea ranks 184th out of 188 countries with data for 2019.
- Where does this Eritrea 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.