Chinese Taipei vs United States of America: Getting credit: Depth of credit information index (0-8) (DB15-20)
Chinese Taipei
100
in 2019
United States of America
100
in 2019
Chinese Taipei rank
1st
United States of America rank
1st
Getting credit: Depth of credit information index (0-8) (DB15-20) over time
- Chinese Taipei
- United States of America
How they compare
Chinese Taipei currently reports 100 against 100 in United States of America, a difference of 0.
Across all 7 years both countries report, United States of America has been ahead every year.
Chinese Taipei ranks 1st and United States of America ranks 1st of 191 countries.
United States of America has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher getting credit: depth of credit information index (0-8) (db15-20), Chinese Taipei or United States of America?
- Chinese Taipei, at 100 against 100 in United States of America as of 2019.
- What is the difference in getting credit: depth of credit information index (0-8) (db15-20) between Chinese Taipei and United States of America?
- 0, with Chinese Taipei ahead.
- How many years of comparable data are there for Chinese Taipei and United States of America?
- 7 years are reported by both, from 2013 to 2019.
- How do Chinese Taipei and United States of America rank globally for getting credit: depth of credit information index (0-8) (db15-20)?
- Chinese Taipei ranks 1st and United States of America ranks 1st of 191 countries.
- Where does this data come from?
- The World Bank, published as Getting credit: Depth of credit information index (0-8) (DB15-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The score for the depth of credit information benchmarks economies with respect to the regulatory best practice on the indicator. 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.