Control of Corruption - Governance estimate in Seychelles
Seychelles: Control of Corruption - Governance estimate was 1.23 approx. -2.5 to +2.5 in 2024. ◆ Volatile
Control of Corruption - Governance estimate in Seychelles, 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
In 2024, control of corruption - governance estimate in Seychelles stood at 1.23 approx. -2.5 to +2.5. That is the highest value across all 26 years on record.
That represents a change of up 6.9% on the previous year and up 161.1% over ten years.
Over the whole period, control of corruption - governance estimate in Seychelles peaked at 1.23 approx. -2.5 to +2.5 in 2024 and was at its lowest, 0.1121 approx. -2.5 to +2.5, in 2005.
That places Seychelles 27th out of 205 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Control of Corruption - Governance estimate in Seychelles, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | 0.6401 approx. -2.5 to +2.5 | — |
| 1998 | 0.6373 approx. -2.5 to +2.5 | -0.4% |
| 2000 | 0.6292 approx. -2.5 to +2.5 | -1.3% |
| 2002 | 0.6682 approx. -2.5 to +2.5 | +6.2% |
| 2003 | 0.7274 approx. -2.5 to +2.5 | +8.9% |
| 2004 | 0.2196 approx. -2.5 to +2.5 | -69.8% |
| 2005 | 0.1121 approx. -2.5 to +2.5 | -48.9% |
| 2006 | 0.1146 approx. -2.5 to +2.5 | +2.2% |
| 2007 | 0.1128 approx. -2.5 to +2.5 | -1.6% |
| 2008 | 0.1133 approx. -2.5 to +2.5 | +0.4% |
| 2009 | 0.4121 approx. -2.5 to +2.5 | +263.7% |
| 2010 | 0.4411 approx. -2.5 to +2.5 | +7.0% |
| 2011 | 0.4404 approx. -2.5 to +2.5 | -0.2% |
| 2012 | 0.4107 approx. -2.5 to +2.5 | -6.7% |
| 2013 | 0.417 approx. -2.5 to +2.5 | +1.5% |
| 2014 | 0.4713 approx. -2.5 to +2.5 | +13.0% |
| 2015 | 0.9239 approx. -2.5 to +2.5 | +96.0% |
| 2016 | 0.9115 approx. -2.5 to +2.5 | -1.3% |
| 2017 | 0.7221 approx. -2.5 to +2.5 | -20.8% |
| 2018 | 0.8164 approx. -2.5 to +2.5 | +13.1% |
| 2019 | 1.07 approx. -2.5 to +2.5 | +31.5% |
| 2020 | 1.14 approx. -2.5 to +2.5 | +6.7% |
| 2021 | 1.14 approx. -2.5 to +2.5 | -0.1% |
| 2022 | 1.15 approx. -2.5 to +2.5 | +0.5% |
| 2023 | 1.15 approx. -2.5 to +2.5 | +0.2% |
| 2024 | 1.23 approx. -2.5 to +2.5 | +6.9% |
Seychelles compared with similar countries
- Seychelles's 1.23 approx. -2.5 to +2.5 is above the median for high income countries, which is 0.9928 approx. -2.5 to +2.5, 1.2× the median. (73 countries reporting)
- Seychelles's 1.23 approx. -2.5 to +2.5 is above the median for Sub-Saharan Africa, which is -0.7935 approx. -2.5 to +2.5. (48 countries reporting)
Biggest year-on-year movements
Years where Control of Corruption - Governance estimate in Seychelles changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2009 | +263.7% | 0.1133 approx. -2.5 to +2.5 | 0.4121 approx. -2.5 to +2.5 |
| 2015 | +96.0% | 0.4713 approx. -2.5 to +2.5 | 0.9239 approx. -2.5 to +2.5 |
| 2004 | -69.8% | 0.7274 approx. -2.5 to +2.5 | 0.2196 approx. -2.5 to +2.5 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.6387 approx. -2.5 to +2.5 | 0.6373 approx. -2.5 to +2.5 | 0.6401 approx. -2.5 to +2.5 | 2 |
| 2000s | 0.3455 approx. -2.5 to +2.5 | 0.1121 approx. -2.5 to +2.5 | 0.7274 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.6628 approx. -2.5 to +2.5 | 0.4107 approx. -2.5 to +2.5 | 1.07 approx. -2.5 to +2.5 | 10 |
| 2020s | 1.16 approx. -2.5 to +2.5 | 1.14 approx. -2.5 to +2.5 | 1.23 approx. -2.5 to +2.5 | 5 |
Countries ranked near Seychelles
More reference data data for Seychelles
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0024 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0046 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0075 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0075 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0082 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0082 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0247 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.043 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0348 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied 2.17 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Seychelles?
- Control of corruption - governance estimate in Seychelles was 1.23 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 Seychelles?
- The highest recorded value was 1.23 approx. -2.5 to +2.5 in 2024.
- What is the lowest control of corruption - governance estimate recorded in Seychelles?
- The lowest recorded value was 0.1121 approx. -2.5 to +2.5 in 2005.
- How does Seychelles rank for control of corruption - governance estimate?
- Seychelles ranks 27th out of 205 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Seychelles?
- Over the last ten years it is up 161.1%. The long-run trend across the full record is volatile.
- Where does this Seychelles 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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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.