Getting credit (DB15-20 methodology) - Score in Yemen
Yemen: Getting credit (DB15-20 methodology) - Score was 0 in 2019. ▬ Flat
Getting credit (DB15-20 methodology) - Score in Yemen, 2013–2019
Source: World Bank.
Analysis
The most recent figure for getting credit (db15-20 methodology) - score in Yemen is 0, measured in 2019. That is the highest value across all 7 years on record.
That places Yemen 184th out of 188 countries with data for 2019, putting it in the bottom quarter.
Countries ranked near Yemen
More private sector data for Yemen
- Merchandise trade 24.7% (2025)
- Food imports 39.1% (2019)
- Manufactures imports 31.4% (2019)
- Merchandise imports 4.65 billion current US$ (2025)
- Food exports 99.3% (2019)
- Manufactures exports 0.6% (2019)
- Merchandise exports 196.00 million current US$ (2025)
- Commercial service exports 308.66 million current US$ (2016)
- Transport services 54.3% (2016)
- Computer, communications and other services 29.9% (2016)
Frequently asked questions
- What is getting credit (db15-20 methodology) - score in Yemen?
- Getting credit (db15-20 methodology) - score in Yemen was 0 in 2019, according to the World Bank.
- What is the highest getting credit (db15-20 methodology) - score recorded in Yemen?
- The highest recorded value was 0 in 2013.
- What is the lowest getting credit (db15-20 methodology) - score recorded in Yemen?
- The lowest recorded value was 0 in 2013.
- How does Yemen rank for getting credit (db15-20 methodology) - score?
- Yemen ranks 184th out of 188 countries with data for 2019.
- Where does this Yemen 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.