Getting credit: Depth of credit information index (0-8) (DB15-20 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 DB15-20 studies.
Countries reporting
151
Highest
8 DB15-20 methodology
United Arab Emirates
Lowest
0 DB15-20 methodology
Fiji
Median
7 DB15-20 methodology
Years covered
7
2013–2019
Data points
1,335
What the numbers show
Getting credit: Depth of credit information index (0-8) (DB15-20 methodology) is currently reported for 151 countries. The highest value is 8 DB15-20 methodology in United Arab Emirates; the lowest is 0 DB15-20 methodology in Fiji.
The median across all reporting countries is 7 DB15-20 methodology, and the mean is 6.62 DB15-20 methodology.
Over the past decade 46 countries rose and 4 fell. The largest increase was in Cameroon (up 500.0%), and the largest decrease in Fiji (down 100.0%).
Getting credit: Depth of credit information index … 0-8 DB15-20: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United Arab Emirates | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Argentina | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Armenia | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Australia | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Azerbaijan | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Bahrain | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Brazil | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Brunei | 8 DB15-20 methodology | 2019 | up 60.0% | rising |
| 1 | Canada | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | China | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Cote d'Ivoire | 8 DB15-20 methodology | 2019 | — | volatile |
| 1 | Germany | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Dominican Republic | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Ecuador | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Egypt | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | United Kingdom | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Georgia | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Guatemala | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Guyana | 8 DB15-20 methodology | 2019 | — | volatile |
| 1 | Honduras | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Indonesia | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Iran | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Israel | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Jamaica | 8 DB15-20 methodology | 2019 | — | rising |
| 1 | Jordan | 8 DB15-20 methodology | 2019 | — | volatile |
| 1 | Kazakhstan | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Kenya | 8 DB15-20 methodology | 2019 | — | volatile |
| 1 | Kyrgyzstan | 8 DB15-20 methodology | 2019 | up 60.0% | rising |
| 1 | South Korea | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Kuwait | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Lithuania | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Latvia | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Mexico | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Malaysia | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Niger | 8 DB15-20 methodology | 2019 | — | volatile |
| 1 | Nigeria | 8 DB15-20 methodology | 2019 | — | rising |
| 1 | Nicaragua | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | New Zealand | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Panama | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Peru | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Poland | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Palestine | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Qatar | 8 DB15-20 methodology | 2019 | up 60.0% | rising |
| 1 | Rwanda | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | Saudi Arabia | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Togo | 8 DB15-20 methodology | 2019 | — | volatile |
| 1 | Turkey | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Tanzania | 8 DB15-20 methodology | 2019 | — | volatile |
| 1 | Uruguay | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 1 | United States | 8 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Vietnam | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Zambia | 8 DB15-20 methodology | 2019 | up 33.3% | rising |
| 1 | Taiwan | 8 DB15-20 methodology | 2019 | up 14.3% | rising |
| 54 | Austria | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Belarus | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Bolivia | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Bhutan | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Botswana | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Switzerland | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Chile | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Colombia | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Costa Rica | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Czechia | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Spain | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Estonia | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Greece | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Hong Kong | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | India | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Ireland | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Iceland | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Italy | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Morocco | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | North Macedonia | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Mongolia | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Mauritius | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Malawi | 7 DB15-20 methodology | 2019 | — | volatile |
| 54 | Namibia | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Netherlands | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Pakistan | 7 DB15-20 methodology | 2019 | up 133.3% | rising |
| 54 | Philippines | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Puerto Rico | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Portugal | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Paraguay | 7 DB15-20 methodology | 2019 | down 12.5% | falling |
| 54 | Romania | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Russia | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Senegal | 7 DB15-20 methodology | 2019 | — | volatile |
| 54 | Singapore | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | El Salvador | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Serbia | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Slovakia | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Eswatini | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Thailand | 7 DB15-20 methodology | 2019 | up 16.7% | rising |
| 54 | Tajikistan | 7 DB15-20 methodology | 2019 | — | rising |
| 54 | Tunisia | 7 DB15-20 methodology | 2019 | up 40.0% | rising |
| 54 | Uganda | 7 DB15-20 methodology | 2019 | — | volatile |
| 54 | Ukraine | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Uzbekistan | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | Venezuela | 7 DB15-20 methodology | 2019 | unchanged | flat |
| 54 | South Africa | 7 DB15-20 methodology | 2019 | down 12.5% | falling |
| 54 | Zimbabwe | 7 DB15-20 methodology | 2019 | up 75.0% | rising |
| 101 | Albania | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Bosnia and Herzegovina | 6 DB15-20 methodology | 2019 | up 20.0% | rising |
| 101 | Cameroon | 6 DB15-20 methodology | 2019 | up 500.0% | volatile |
| 101 | Cape Verde | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Denmark | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Finland | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | France | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Ghana | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Hungary | 6 DB15-20 methodology | 2019 | up 20.0% | rising |
| 101 | Japan | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Cambodia | 6 DB15-20 methodology | 2019 | up 20.0% | rising |
| 101 | Laos | 6 DB15-20 methodology | 2019 | — | volatile |
| 101 | Lebanon | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Sri Lanka | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Lesotho | 6 DB15-20 methodology | 2019 | — | volatile |
| 101 | Moldova | 6 DB15-20 methodology | 2019 | — | rising |
| 101 | Madagascar | 6 DB15-20 methodology | 2019 | — | volatile |
| 101 | Mauritania | 6 DB15-20 methodology | 2019 | — | volatile |
| 101 | Norway | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Oman | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Slovenia | 6 DB15-20 methodology | 2019 | up 50.0% | rising |
| 101 | Trinidad and Tobago | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Kosovo | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 101 | Kosovo (UNSCR 1244) | 6 DB15-20 methodology | 2019 | unchanged | flat |
| 125 | Belgium | 5 DB15-20 methodology | 2019 | unchanged | flat |
| 125 | Bulgaria | 5 DB15-20 methodology | 2019 | unchanged | flat |
| 125 | Cyprus | 5 DB15-20 methodology | 2019 | up 66.7% | rising |
| 125 | Croatia | 5 DB15-20 methodology | 2019 | down 16.7% | falling |
| 125 | Haiti | 5 DB15-20 methodology | 2019 | — | volatile |
| 125 | Maldives | 5 DB15-20 methodology | 2019 | unchanged | flat |
| 125 | Malta | 5 DB15-20 methodology | 2019 | — | volatile |
| 125 | Montenegro | 5 DB15-20 methodology | 2019 | unchanged | flat |
| 125 | Nepal | 5 DB15-20 methodology | 2019 | — | volatile |
| 125 | Papua New Guinea | 5 DB15-20 methodology | 2019 | — | volatile |
| 125 | San Marino | 5 DB15-20 methodology | 2019 | — | volatile |
| 125 | Sao Tome and Principe | 5 DB15-20 methodology | 2019 | unchanged | flat |
| 125 | Sweden | 5 DB15-20 methodology | 2019 | unchanged | flat |
| 125 | Seychelles | 5 DB15-20 methodology | 2019 | — | volatile |
| 139 | Bangladesh | 4 DB15-20 methodology | 2019 | — | volatile |
| 139 | Mozambique | 4 DB15-20 methodology | 2019 | — | rising |
| 139 | East Timor | 4 DB15-20 methodology | 2019 | unchanged | flat |
| 139 | Tonga | 4 DB15-20 methodology | 2019 | up 33.3% | rising |
| 139 | Vanuatu | 4 DB15-20 methodology | 2019 | up 33.3% | rising |
| 144 | Congo | 2 DB15-20 methodology | 2019 | unchanged | falling |
| 144 | Comoros | 2 DB15-20 methodology | 2019 | — | volatile |
| 144 | Gabon | 2 DB15-20 methodology | 2019 | unchanged | flat |
| 144 | Equatorial Guinea | 2 DB15-20 methodology | 2019 | — | rising |
| 144 | Syria | 2 DB15-20 methodology | 2019 | unchanged | flat |
| 149 | Burundi | 1 DB15-20 methodology | 2019 | — | volatile |
| 149 | Central African Republic | 1 DB15-20 methodology | 2019 | — | volatile |
| 151 | Fiji | 0 DB15-20 methodology | 2019 | down 100.0% | 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 DB15-20 studies.