Control of Corruption in Seychelles
Seychelles: Control of Corruption was 0.2411 standard error in 2011. ▼ Falling
Control of Corruption in Seychelles, 1996–2011
Source: World Bank Institute. Measured in standard error.
Analysis
In 2011, control of corruption in Seychelles stood at 0.2411 standard error.
That represents a change of down 0.8% on the previous year and down 25.8% over ten years.
Over the whole period, control of corruption in Seychelles peaked at 0.5569 standard error in 1996 and was at its lowest, 0.218 standard error, in 2005.
That places Seychelles 3rd out of 53 countries with data for 2011, putting it in the top 10%.
The long-run direction has been consistently falling across the 13 years of available data.
Control of Corruption in Seychelles, year by year
| Year | standard error | Change |
|---|---|---|
| 1996 | 0.5569 standard error | — |
| 1998 | 0.3449 standard error | -38.1% |
| 2000 | 0.3251 standard error | -5.7% |
| 2002 | 0.3414 standard error | +5.0% |
| 2003 | 0.2973 standard error | -12.9% |
| 2004 | 0.2197 standard error | -26.1% |
| 2005 | 0.218 standard error | -0.8% |
| 2006 | 0.2393 standard error | +9.8% |
| 2007 | 0.2357 standard error | -1.5% |
| 2008 | 0.2398 standard error | +1.7% |
| 2009 | 0.2315 standard error | -3.5% |
| 2010 | 0.2431 standard error | +5.0% |
| 2011 | 0.2411 standard error | -0.8% |
Seychelles compared with similar countries
- Seychelles's 0.2411 standard error is above the median for Sub-Saharan Africa, which is 0.1749 standard error, 1.4× the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.4509 standard error | 0.3449 standard error | 0.5569 standard error | 2 |
| 2000s | 0.2609 standard error | 0.218 standard error | 0.3414 standard error | 9 |
| 2010s | 0.2421 standard error | 0.2411 standard error | 0.2431 standard error | 2 |
Countries ranked near Seychelles
- 1 Comoros 0.2785 standard error compare
- 2 Guinea-Bissau 0.2482 standard error compare
- 4 Equatorial Guinea 0.2293 standard error compare
- 4 Sao Tome and Principe 0.2293 standard error compare
- 6 Djibouti 0.2275 standard error compare
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 in Seychelles?
- Control of corruption in Seychelles was 0.2411 standard error in 2011, according to World Bank Institute.
- What is the highest control of corruption recorded in Seychelles?
- The highest recorded value was 0.5569 standard error in 1996.
- What is the lowest control of corruption recorded in Seychelles?
- The lowest recorded value was 0.218 standard error in 2005.
- How does Seychelles rank for control of corruption?
- Seychelles ranks 3rd out of 53 countries with data for 2011.
- Is control of corruption rising or falling in Seychelles?
- Over the last ten years it is down 25.8%. The long-run trend across the full record is falling.
- Where does this Seychelles data come from?
- The figures come from World Bank Institute, published as part of Control of Corruption (standard error). Statizoid updates them automatically from the source API.
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About this data
See definition GV.CONT.CO.ES. Inherent to all Governance Indicators is a margin of error, which might vary from country to country, normally attributable to two factors: (i) cross-country differences in the number of sources in which a country appears, and (ii) differences in the precision of the sources in which each country appears.