Getting credit: Depth of credit information index (0-8) in Hungary
Hungary: Getting credit: Depth of credit information index (0-8) was 6 DB15-20 methodology in 2019. ▲ Rising
Getting credit: Depth of credit information index (0-8) in Hungary, 2013–2019
Source: World Bank. Measured in DB15-20 methodology.
Analysis
In 2019, getting credit: depth of credit information index (0-8) in Hungary stood at 6 DB15-20 methodology. That is the highest value across all 7 years on record.
The figure is up 20.0% over ten years.
Hungary ranks 101st of 191 countries on this measure, in the middle of the range.
Getting credit: Depth of credit information index (0-8) in Hungary, year by year
| Year | DB15-20 methodology | Change |
|---|---|---|
| 2013 | 5 DB15-20 methodology | — |
| 2014 | 5 DB15-20 methodology | +0.0% |
| 2015 | 5 DB15-20 methodology | +0.0% |
| 2016 | 5 DB15-20 methodology | +0.0% |
| 2017 | 6 DB15-20 methodology | +20.0% |
| 2018 | 6 DB15-20 methodology | +0.0% |
| 2019 | 6 DB15-20 methodology | +0.0% |
Countries ranked near Hungary
- 101 Japan 6 DB15-20 methodology compare
- 101 Albania 6 DB15-20 methodology compare
- 101 Bosnia and Herzegovina 6 DB15-20 methodology compare
- 101 Cape Verde 6 DB15-20 methodology compare
- 101 Cambodia 6 DB15-20 methodology compare
- 101 Cameroon 6 DB15-20 methodology compare
- 101 Denmark 6 DB15-20 methodology compare
- 101 Finland 6 DB15-20 methodology compare
- 101 France 6 DB15-20 methodology compare
- 101 Ghana 6 DB15-20 methodology compare
- 101 Kosovo 6 DB15-20 methodology compare
- 101 Lao People's Democratic Republic 6 DB15-20 methodology compare
- 101 Lebanon 6 DB15-20 methodology compare
- 101 Lesotho 6 DB15-20 methodology compare
- 101 Madagascar 6 DB15-20 methodology compare
- 101 Mauritania 6 DB15-20 methodology compare
- 101 Republic of Moldova 6 DB15-20 methodology compare
- 101 Norway 6 DB15-20 methodology compare
- 101 Oman 6 DB15-20 methodology compare
- 101 Slovenia 6 DB15-20 methodology compare
- 101 Sri Lanka 6 DB15-20 methodology compare
- 101 Trinidad and Tobago 6 DB15-20 methodology compare
- 101 Kosovo (UNSCR 1244) 6 DB15-20 methodology compare
More private sector data for Hungary
- Merchandise trade 133.1% (2025)
- Food imports 7.0% (2025)
- Manufactures imports 72.5% (2025)
- Merchandise imports 159.20 billion current US$ (2025)
- Food exports 8.6% (2025)
- Manufactures exports 80.4% (2025)
- Merchandise exports 168.84 billion current US$ (2025)
- Merchandise exports (current US$), per capita 17,746 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.685 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate 6.01 % change on previous year (2025)
Frequently asked questions
- What is getting credit: depth of credit information index (0-8) in Hungary?
- Getting credit: depth of credit information index (0-8) in Hungary was 6 DB15-20 methodology in 2019, according to the World Bank.
- What is the highest getting credit: depth of credit information index (0-8) recorded in Hungary?
- The highest recorded value was 6 DB15-20 methodology in 2017.
- What is the lowest getting credit: depth of credit information index (0-8) recorded in Hungary?
- The lowest recorded value was 5 DB15-20 methodology in 2013.
- How does Hungary rank for getting credit: depth of credit information index (0-8)?
- Hungary ranks 101st out of 191 countries with data for 2019.
- Is getting credit: depth of credit information index (0-8) rising or falling in Hungary?
- Over the last ten years it is up 20.0%. The long-run trend across the full record is rising.
- Where does this Hungary data come from?
- The figures come from the World Bank, published as part of Getting credit: Depth of credit information index (0-8) (DB15-20 methodology). Statizoid updates them automatically from the source API.
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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.