Hong Kong, China vs Nepal: Getting credit (DB15-20 methodology) - Score

Hong Kong, China
75
in 2019
Nepal
75
in 2019
Hong Kong, China rank
37th
Nepal rank
37th

Getting credit (DB15-20 methodology) - Score over time

  • Hong Kong, China
  • Nepal
020406080201320162019

How they compare

Hong Kong, China currently reports 75 against 75 in Nepal, a difference of 0.

The two have swapped places 1 time across 7 shared years of data; in 2013 it was Hong Kong, China ahead.

Hong Kong, China ranks 37th and Nepal ranks 37th of 190 countries.

Hong Kong, China has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher getting credit (db15-20 methodology) - score, Hong Kong, China or Nepal?
Hong Kong, China, at 75 against 75 in Nepal as of 2019.
What is the difference in getting credit (db15-20 methodology) - score between Hong Kong, China and Nepal?
0, with Hong Kong, China ahead.
How many years of comparable data are there for Hong Kong, China and Nepal?
7 years are reported by both, from 2013 to 2019.
How do Hong Kong, China and Nepal rank globally for getting credit (db15-20 methodology) - score?
Hong Kong, China ranks 37th and Nepal ranks 37th of 190 countries.
Where does this data come from?
The World Bank, published as Getting credit (DB15-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Hong Kong, China vs Nepal: Getting credit (DB15-20 methodology) - Score. Statizoid. Retrieved 23 August 2026, from https://private-sector.statizoid.com/compare/getting-credit-db15-20-methodology-score/hong-kong-sar-china/nepal/

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About this data

Indicator
Getting credit (DB15-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 1,328 data points, 2013–2019
Last refreshed

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.