Control of Corruption - Governance estimate in South Korea
South Korea: Control of Corruption - Governance estimate was 0.8496 approx. -2.5 to +2.5 in 2024. ▲ Rising
Control of Corruption - Governance estimate in South Korea, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
The most recent figure for control of corruption - governance estimate in South Korea is 0.8496 approx. -2.5 to +2.5, measured in 2024.
That represents a change of down 3.3% on the previous year and up 68.5% over ten years.
Over the whole period, control of corruption - governance estimate in South Korea peaked at 0.8789 approx. -2.5 to +2.5 in 2023 and was at its lowest, 0.2879 approx. -2.5 to +2.5, in 2002.
That places South Korea 43rd out of 204 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.5258 approx. -2.5 to +2.5 | 0.4278 approx. -2.5 to +2.5 | 0.6237 approx. -2.5 to +2.5 | 2 |
| 2000s | 0.4137 approx. -2.5 to +2.5 | 0.2879 approx. -2.5 to +2.5 | 0.5818 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.4901 approx. -2.5 to +2.5 | 0.345 approx. -2.5 to +2.5 | 0.6133 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.8135 approx. -2.5 to +2.5 | 0.7559 approx. -2.5 to +2.5 | 0.8789 approx. -2.5 to +2.5 | 5 |
Countries ranked near South Korea
More reference data data for South Korea
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.9638 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.9281 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 3.55 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2074 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 3.55 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.23 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 4.37 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 5.17 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 19.85 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.13 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in South Korea?
- Control of corruption - governance estimate in South Korea was 0.8496 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest control of corruption - governance estimate recorded in South Korea?
- The highest recorded value was 0.8789 approx. -2.5 to +2.5 in 2023.
- What is the lowest control of corruption - governance estimate recorded in South Korea?
- The lowest recorded value was 0.2879 approx. -2.5 to +2.5 in 2002.
- How does South Korea rank for control of corruption - governance estimate?
- South Korea ranks 43rd out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in South Korea?
- Over the last ten years it is up 68.5%. The long-run trend across the full record is rising.
- Where does this South Korea data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Control of Corruption - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Control of Corruption (CC) captures perceptions of the extent to which public power is used for private gain, including both petty and grand corruption, as well as capture of the state by elites and private interests. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.