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 DB05-14: 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 | 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 | 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 | South 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 | 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 | 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 | 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 | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Romania | 5 DB05-14 methodology | 2013 | — | volatile |
| 31 | Russia | 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 | Turkey | 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 | 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 | 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 | 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 | Vietnam | 4 DB05-14 methodology | 2013 | — | volatile |
| 111 | Slovenia | 3 DB05-14 methodology | 2013 | — | volatile |
| 111 | East Timor | 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 | Syria | 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.