Getting credit (DB15-20 methodology) - Score in Timor-Leste
Timor-Leste: Getting credit (DB15-20 methodology) - Score was 20 in 2019. ▬ Flat
Getting credit (DB15-20 methodology) - Score in Timor-Leste, 2013–2019
Source: World Bank.
Analysis
The most recent figure for getting credit (db15-20 methodology) - score in Timor-Leste is 20, measured in 2019. That is the highest value across all 7 years on record.
That represents a change of unchanged over ten years.
That places Timor-Leste 171st out of 188 countries with data for 2019, putting it in the bottom quarter.
Countries ranked near Timor-Leste
More private sector data for Timor-Leste
- Merchandise trade 56.9% (2025)
- Food imports 28.1% (2023)
- Manufactures imports 49.6% (2023)
- Merchandise imports 979.00 million current US$ (2025)
- Food exports 10.5% (2023)
- Manufactures exports 21.9% (2023)
- Merchandise exports 103.00 million current US$ (2025)
- Commercial service exports 132.58 million current US$ (2025)
- Transport services 31.3% (2025)
- Computer, communications and other services 11.4% (2025)
Frequently asked questions
- What is getting credit (db15-20 methodology) - score in Timor-Leste?
- Getting credit (db15-20 methodology) - score in Timor-Leste was 20 in 2019, according to the World Bank.
- What is the highest getting credit (db15-20 methodology) - score recorded in Timor-Leste?
- The highest recorded value was 20 in 2013.
- What is the lowest getting credit (db15-20 methodology) - score recorded in Timor-Leste?
- The lowest recorded value was 20 in 2013.
- How does Timor-Leste rank for getting credit (db15-20 methodology) - score?
- Timor-Leste ranks 171st out of 188 countries with data for 2019.
- Is getting credit (db15-20 methodology) - score rising or falling in Timor-Leste?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Timor-Leste 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.