Getting credit: Depth of credit information index (0-6) (DB05-14 methodology) by country
The depth of credit information index measures the coverage, scope and accessibility of credit information available through credit reporting service providers such as credit bureaus or credit registries. The index ranges from 0 to 8 based on the methodology in the DB05-14 studies.
What the numbers show
Getting credit: Depth of credit information index (0-6) (DB05-14 methodology) is currently reported for 121 countries. The highest value is 6 DB05-14 methodology in Argentina; the lowest is 1 DB05-14 methodology in Cameroon.
The median across all reporting countries is 5 DB05-14 methodology, and the mean is 4.78 DB05-14 methodology.
The gap between the highest and lowest reporting country is a factor of about 6.
Over the past decade 27 countries rose and 3 fell. The largest increase was in Tunisia (up 300.0%), and the largest decrease in Bosnia and Herzegovina (down 20.0%).
Getting credit: Depth of credit information index (0-6): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Argentina | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | Armenia | 6 DB05-14 methodology | 2013 | — | volatile |
| 1 | Bolivia, Plurinational State of | 6 DB05-14 methodology | 2013 | up 20.0% | rising |
| 1 | Canada | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | Switzerland | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | Costa Rica | 6 DB05-14 methodology | 2013 | — | volatile |
| 1 | Germany | 6 DB05-14 methodology | 2013 | up 20.0% | rising |
| 1 | Dominican Republic | 6 DB05-14 methodology | 2013 | up 20.0% | rising |
| 1 | Ecuador | 6 DB05-14 methodology | 2013 | up 50.0% | rising |
| 1 | Egypt | 6 DB05-14 methodology | 2013 | — | volatile |
| 1 | United Kingdom of Great Britain and Northern Ireland | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | Georgia | 6 DB05-14 methodology | 2013 | — | volatile |
| 1 | Guatemala | 6 DB05-14 methodology | 2013 | up 20.0% | rising |
| 1 | Honduras | 6 DB05-14 methodology | 2013 | up 100.0% | rising |
| 1 | Republic of Korea | 6 DB05-14 methodology | 2013 | up 20.0% | rising |
| 1 | Lithuania | 6 DB05-14 methodology | 2013 | — | rising |
| 1 | Mexico | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | North Macedonia | 6 DB05-14 methodology | 2013 | — | volatile |
| 1 | Mauritius | 6 DB05-14 methodology | 2013 | — | volatile |
| 1 | Malaysia | 6 DB05-14 methodology | 2013 | up 50.0% | rising |
| 1 | Nicaragua | 6 DB05-14 methodology | 2013 | up 50.0% | rising |
| 1 | Panama | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | Peru | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | Poland | 6 DB05-14 methodology | 2013 | up 50.0% | rising |
| 1 | Paraguay | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | Rwanda | 6 DB05-14 methodology | 2013 | — | volatile |
| 1 | Saudi Arabia | 6 DB05-14 methodology | 2013 | — | rising |
| 1 | El Salvador | 6 DB05-14 methodology | 2013 | up 20.0% | rising |
| 1 | United States of America | 6 DB05-14 methodology | 2013 | unchanged | flat |
| 1 | South Africa | 6 DB05-14 methodology | 2013 | up 20.0% | rising |
| 31 | Albania | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | United Arab Emirates | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Australia | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Austria | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Azerbaijan | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Belarus | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Brazil | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Bhutan | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Botswana | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Chile | 5 DB05-14 methodology | 2013 | unchanged | falling |
| 31 | China | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Colombia | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Cape Verde | 5 DB05-14 methodology | 2013 | up 66.7% | rising |
| 31 | Czechia | 5 DB05-14 methodology | 2013 | up 25.0% | rising |
| 31 | Spain | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Estonia | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Ghana | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Greece | 5 DB05-14 methodology | 2013 | up 25.0% | rising |
| 31 | Hong Kong, China | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Croatia | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Indonesia | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | India | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Ireland | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Iran, Islamic Republic of | 5 DB05-14 methodology | 2013 | up 150.0% | rising |
| 31 | Iceland | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Israel | 5 DB05-14 methodology | 2013 | up 66.7% | rising |
| 31 | Italy | 5 DB05-14 methodology | 2013 | down 16.7% | falling |
| 31 | Japan | 5 DB05-14 methodology | 2013 | down 16.7% | falling |
| 31 | Kazakhstan | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Kuwait | 5 DB05-14 methodology | 2013 | up 25.0% | rising |
| 31 | Lebanon | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Sri Lanka | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Latvia | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Morocco | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Mongolia | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | New Zealand | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Oman | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Puerto Rico | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Portugal | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Palestine, State of | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Romania | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Russian Federation | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Singapore | 5 DB05-14 methodology | 2013 | up 66.7% | rising |
| 31 | Serbia | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Thailand | 5 DB05-14 methodology | 2013 | up 25.0% | rising |
| 31 | Türkiye | 5 DB05-14 methodology | 2013 | up 25.0% | rising |
| 31 | Ukraine | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Uruguay | 5 DB05-14 methodology | 2013 | up 66.7% | rising |
| 31 | Uzbekistan | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Venezuela, Bolivarian Republic of | 5 DB05-14 methodology | 2013 | up 25.0% | volatile |
| 31 | Kosovo | 5 DB05-14 methodology | 2013 | — | flat |
| 31 | Zambia | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Taiwan, China | 5 DB05-14 methodology | 2013 | unchanged | flat |
| 31 | Kosovo (UNSCR 1244) | 5 DB05-14 methodology | 2013 | — | flat |
| 85 | Belgium | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Bulgaria | 4 DB05-14 methodology | 2013 | — | rising |
| 85 | Bahrain | 4 DB05-14 methodology | 2013 | up 33.3% | rising |
| 85 | Bosnia and Herzegovina | 4 DB05-14 methodology | 2013 | down 20.0% | falling |
| 85 | Brunei Darussalam | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Denmark | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Finland | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Fiji | 4 DB05-14 methodology | 2013 | up 33.3% | rising |
| 85 | France | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Hungary | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Kyrgyzstan | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Cambodia | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Maldives | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Montenegro | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Namibia | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Netherlands | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Norway | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Philippines | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Qatar | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Sao Tome and Principe | 4 DB05-14 methodology | 2013 | — | volatile |
| 85 | Slovakia | 4 DB05-14 methodology | 2013 | — | rising |
| 85 | Sweden | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Eswatini | 4 DB05-14 methodology | 2013 | unchanged | flat |
| 85 | Trinidad and Tobago | 4 DB05-14 methodology | 2013 | up 33.3% | rising |
| 85 | Tunisia | 4 DB05-14 methodology | 2013 | up 300.0% | rising |
| 85 | Viet Nam | 4 DB05-14 methodology | 2013 | — | volatile |
| 111 | Slovenia | 3 DB05-14 methodology | 2013 | — | volatile |
| 111 | Timor-Leste | 3 DB05-14 methodology | 2013 | — | volatile |
| 111 | Zimbabwe | 3 DB05-14 methodology | 2013 | unchanged | flat |
| 114 | Congo | 2 DB05-14 methodology | 2013 | — | volatile |
| 114 | Cyprus | 2 DB05-14 methodology | 2013 | — | volatile |
| 114 | Gabon | 2 DB05-14 methodology | 2013 | — | volatile |
| 114 | Pakistan | 2 DB05-14 methodology | 2013 | — | volatile |
| 114 | Syrian Arab Republic | 2 DB05-14 methodology | 2013 | — | volatile |
| 114 | Tonga | 2 DB05-14 methodology | 2013 | — | volatile |
| 114 | Vanuatu | 2 DB05-14 methodology | 2013 | — | volatile |
| 121 | Cameroon | 1 DB05-14 methodology | 2013 | — | volatile |
About this data
The depth of credit information index measures the coverage, scope and accessibility of credit information available through credit reporting service providers such as credit bureaus or credit registries. The index ranges from 0 to 8 based on the methodology in the DB05-14 studies.