Control of Corruption - Governance estimate in Switzerland
Switzerland: Control of Corruption - Governance estimate was 2.01 approx. -2.5 to +2.5 in 2024. ▲ Rising
Control of Corruption - Governance estimate in Switzerland, 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
Switzerland recorded 2.01 approx. -2.5 to +2.5 for control of corruption - governance estimate in 2024.
Compared with earlier readings it is down 4.3% on the previous year and down 11.2% over ten years.
Over the whole period, control of corruption - governance estimate in Switzerland peaked at 2.3 approx. -2.5 to +2.5 in 2017 and was at its lowest, 1.87 approx. -2.5 to +2.5, in 2004.
Switzerland ranks 4th of 204 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 2.1 approx. -2.5 to +2.5 | 2.1 approx. -2.5 to +2.5 | 2.11 approx. -2.5 to +2.5 | 2 |
| 2000s | 2.05 approx. -2.5 to +2.5 | 1.87 approx. -2.5 to +2.5 | 2.19 approx. -2.5 to +2.5 | 9 |
| 2010s | 2.22 approx. -2.5 to +2.5 | 2.06 approx. -2.5 to +2.5 | 2.3 approx. -2.5 to +2.5 | 10 |
| 2020s | 2.12 approx. -2.5 to +2.5 | 2.01 approx. -2.5 to +2.5 | 2.29 approx. -2.5 to +2.5 | 5 |
Countries ranked near Switzerland
More reference data data for Switzerland
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5507 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2683 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.24 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.05 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.24 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.85 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.28 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.37 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 6.28 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.272 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Switzerland?
- Control of corruption - governance estimate in Switzerland was 2.01 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 Switzerland?
- The highest recorded value was 2.3 approx. -2.5 to +2.5 in 2017.
- What is the lowest control of corruption - governance estimate recorded in Switzerland?
- The lowest recorded value was 1.87 approx. -2.5 to +2.5 in 2004.
- How does Switzerland rank for control of corruption - governance estimate?
- Switzerland ranks 4th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Switzerland?
- Over the last ten years it is down 11.2%. The long-run trend across the full record is rising.
- Where does this Switzerland 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.
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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.