Getting credit: Depth of credit information index (0-6) (DB05-14) in South Korea
South Korea: Getting credit: Depth of credit information index (0-6) (DB05-14) was 100 in 2013. ▲ Rising
Getting credit: Depth of credit information index (0-6) (DB05-14) in South Korea, 2004–2013
Source: World Bank.
Analysis
The most recent figure for getting credit: depth of credit information index (0-6) (db05-14) in South Korea is 100, measured in 2013. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 20.0% over ten years.
Over the whole period, getting credit: depth of credit information index (0-6) (db05-14) in South Korea peaked at 100 in 2008 and was at its lowest, 83.33, in 2004.
That places South Korea 1st out of 184 countries with data for 2013, putting it in the top 10%.
Getting credit: Depth of credit information index (0-6) (DB05-14) in South Korea, year by year
| Year | Value | Change |
|---|---|---|
| 2004 | 83.33 | — |
| 2005 | 83.33 | +0.0% |
| 2006 | 83.33 | +0.0% |
| 2007 | 83.33 | +0.0% |
| 2008 | 100 | +20.0% |
| 2009 | 100 | +0.0% |
| 2010 | 100 | +0.0% |
| 2011 | 100 | +0.0% |
| 2012 | 100 | +0.0% |
| 2013 | 100 | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 88.89 | 83.33 | 100 | 6 |
| 2010s | 100 | 100 | 100 | 4 |
Countries ranked near South Korea
- 1 United States 100 compare
- 1 Mexico 100 compare
- 1 Argentina 100 compare
- 1 Armenia 100 compare
- 1 Bolivia 100 compare
- 1 Canada 100 compare
- 1 Costa Rica 100 compare
- 1 Dominican Republic 100 compare
- 1 Ecuador 100 compare
- 1 Egypt 100 compare
- 1 El Salvador 100 compare
- 1 Georgia 100 compare
- 1 Germany 100 compare
- 1 Guatemala 100 compare
- 1 Honduras 100 compare
- 1 Lithuania 100 compare
- 1 Malaysia 100 compare
- 1 Mauritius 100 compare
- 1 Nicaragua 100 compare
- 1 North Macedonia 100 compare
- 1 Panama 100 compare
- 1 Paraguay 100 compare
- 1 Peru 100 compare
- 1 Poland 100 compare
- 1 Rwanda 100 compare
- 1 Saudi Arabia 100 compare
- 1 South Africa 100 compare
- 1 Switzerland 100 compare
- 1 United Kingdom 100 compare
More private sector data for South Korea
- Merchandise trade 71.6% (2025)
- Food imports 6.3% (2024)
- Manufactures imports 60.1% (2024)
- Merchandise imports 631.89 billion current US$ (2025)
- Food exports 1.6% (2024)
- Manufactures exports 87.3% (2024)
- Merchandise exports 709.33 billion current US$ (2025)
- Merchandise exports (current US$), per capita 13,724 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.3788 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate 3.76 % change on previous year (2025)
Frequently asked questions
- What is getting credit: depth of credit information index (0-6) (db05-14) in South Korea?
- Getting credit: depth of credit information index (0-6) (db05-14) in South Korea was 100 in 2013, according to the World Bank.
- What is the highest getting credit: depth of credit information index (0-6) (db05-14) recorded in South Korea?
- The highest recorded value was 100 in 2008.
- What is the lowest getting credit: depth of credit information index (0-6) (db05-14) recorded in South Korea?
- The lowest recorded value was 83.33 in 2004.
- How does South Korea rank for getting credit: depth of credit information index (0-6) (db05-14)?
- South Korea ranks 1st out of 184 countries with data for 2013.
- Is getting credit: depth of credit information index (0-6) (db05-14) rising or falling in South Korea?
- Over the last ten years it is up 20.0%. The long-run trend across the full record is rising.
- Where does this South Korea data come from?
- The figures come from the World Bank, published as part of Getting credit: Depth of credit information index (0-6) (DB05-14 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 DB05-14 studies.