Getting credit: Depth of credit information index (0-8) (DB15-20) in Mongolia
Mongolia: Getting credit: Depth of credit information index (0-8) (DB15-20) was 87.5 in 2019. ▲ Rising
Getting credit: Depth of credit information index (0-8) (DB15-20) in Mongolia, 2013–2019
Source: World Bank.
Analysis
The most recent figure for getting credit: depth of credit information index (0-8) (db15-20) in Mongolia is 87.5, measured in 2019. That is the highest value across all 7 years on record.
The figure is up 16.7% over ten years.
That places Mongolia 54th out of 191 countries with data for 2019, putting it in the middle of the range.
Getting credit: Depth of credit information index (0-8) (DB15-20) in Mongolia, year by year
| Year | Value | Change |
|---|---|---|
| 2013 | 75 | — |
| 2014 | 75 | +0.0% |
| 2015 | 87.5 | +16.7% |
| 2016 | 87.5 | +0.0% |
| 2017 | 87.5 | +0.0% |
| 2018 | 87.5 | +0.0% |
| 2019 | 87.5 | +0.0% |
Countries ranked near Mongolia
- 54 India 87.5 compare
- 54 Pakistan 87.5 compare
- 54 Russia 87.5 compare
- 54 Austria 87.5 compare
- 54 Belarus 87.5 compare
- 54 Bhutan 87.5 compare
- 54 Bolivia 87.5 compare
- 54 Botswana 87.5 compare
- 54 Chile 87.5 compare
- 54 Colombia 87.5 compare
- 54 Costa Rica 87.5 compare
- 54 Czechia 87.5 compare
- 54 El Salvador 87.5 compare
- 54 Estonia 87.5 compare
- 54 Eswatini 87.5 compare
- 54 Greece 87.5 compare
- 54 Hong Kong 87.5 compare
- 54 Iceland 87.5 compare
- 54 Ireland 87.5 compare
- 54 Italy 87.5 compare
- 54 Malawi 87.5 compare
- 54 Mauritius 87.5 compare
- 54 Morocco 87.5 compare
- 54 Namibia 87.5 compare
- 54 Netherlands 87.5 compare
- 54 North Macedonia 87.5 compare
- 54 Paraguay 87.5 compare
- 54 Philippines 87.5 compare
- 54 Portugal 87.5 compare
- 54 Puerto Rico 87.5 compare
- 54 Romania 87.5 compare
- 54 Senegal 87.5 compare
- 54 Serbia 87.5 compare
- 54 Singapore 87.5 compare
- 54 Slovakia 87.5 compare
- 54 South Africa 87.5 compare
- 54 Spain 87.5 compare
- 54 Switzerland 87.5 compare
- 54 Tajikistan 87.5 compare
- 54 Thailand 87.5 compare
- 54 Tunisia 87.5 compare
- 54 Uganda 87.5 compare
- 54 Ukraine 87.5 compare
- 54 Uzbekistan 87.5 compare
- 54 Venezuela 87.5 compare
- 54 Zimbabwe 87.5 compare
More private sector data for Mongolia
- Merchandise trade 106.7% (2025)
- Food imports 11.0% (2023)
- Manufactures imports 65.3% (2023)
- Merchandise imports 11.31 billion current US$ (2025)
- Food exports 3.3% (2023)
- Manufactures exports 1.7% (2023)
- Merchandise exports 15.76 billion current US$ (2025)
- Merchandise exports (current US$), per capita 4,416 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.6213 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate -0.1394 % change on previous year (2025)
Frequently asked questions
- What is getting credit: depth of credit information index (0-8) (db15-20) in Mongolia?
- Getting credit: depth of credit information index (0-8) (db15-20) in Mongolia was 87.5 in 2019, according to the World Bank.
- What is the highest getting credit: depth of credit information index (0-8) (db15-20) recorded in Mongolia?
- The highest recorded value was 87.5 in 2015.
- What is the lowest getting credit: depth of credit information index (0-8) (db15-20) recorded in Mongolia?
- The lowest recorded value was 75 in 2013.
- How does Mongolia rank for getting credit: depth of credit information index (0-8) (db15-20)?
- Mongolia ranks 54th out of 191 countries with data for 2019.
- Is getting credit: depth of credit information index (0-8) (db15-20) rising or falling in Mongolia?
- Over the last ten years it is up 16.7%. The long-run trend across the full record is rising.
- Where does this Mongolia 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) - Score. Statizoid updates them automatically from the source API.
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About this data
The score for the depth of credit information benchmarks economies with respect to the regulatory best practice on the indicator. 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.