Government Effectiveness in Seychelles
Seychelles: Government Effectiveness was 0.2402 standard error in 2011. ▼ Falling
Government Effectiveness in Seychelles, 1996–2011
Source: World Bank Institute. Measured in standard error.
Analysis
In 2011, government effectiveness in Seychelles stood at 0.2402 standard error.
That represents a change of down 1.7% on the previous year and down 12.9% over ten years.
Over the whole period, government effectiveness in Seychelles peaked at 0.3136 standard error in 1996 and was at its lowest, 0.2065 standard error, in 2004.
Seychelles ranks 2nd of 53 countries on this measure, in the top 10%.
The long-run direction has been consistently falling across the 13 years of available data.
Government Effectiveness in Seychelles, year by year
| Year | standard error | Change |
|---|---|---|
| 1996 | 0.3136 standard error | — |
| 1998 | 0.2692 standard error | -14.2% |
| 2000 | 0.2759 standard error | +2.5% |
| 2002 | 0.2695 standard error | -2.3% |
| 2003 | 0.2889 standard error | +7.2% |
| 2004 | 0.2065 standard error | -28.5% |
| 2005 | 0.2117 standard error | +2.5% |
| 2006 | 0.2414 standard error | +14.0% |
| 2007 | 0.2494 standard error | +3.3% |
| 2008 | 0.24 standard error | -3.8% |
| 2009 | 0.226 standard error | -5.8% |
| 2010 | 0.2443 standard error | +8.1% |
| 2011 | 0.2402 standard error | -1.7% |
Seychelles compared with similar countries
- Seychelles's 0.2402 standard error is above the median for Sub-Saharan Africa, which is 0.1899 standard error, 1.3× the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.2914 standard error | 0.2692 standard error | 0.3136 standard error | 2 |
| 2000s | 0.2455 standard error | 0.2065 standard error | 0.2889 standard error | 9 |
| 2010s | 0.2422 standard error | 0.2402 standard error | 0.2443 standard error | 2 |
Countries ranked near Seychelles
- 1 Comoros 0.2551 standard error compare
- 3 Guinea-Bissau 0.2318 standard error compare
- 4 Equatorial Guinea 0.2285 standard error compare
- 4 Sao Tome and Principe 0.2285 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 government effectiveness in Seychelles?
- Government effectiveness in Seychelles was 0.2402 standard error in 2011, according to World Bank Institute.
- What is the highest government effectiveness recorded in Seychelles?
- The highest recorded value was 0.3136 standard error in 1996.
- What is the lowest government effectiveness recorded in Seychelles?
- The lowest recorded value was 0.2065 standard error in 2004.
- How does Seychelles rank for government effectiveness?
- Seychelles ranks 2nd out of 53 countries with data for 2011.
- Is government effectiveness rising or falling in Seychelles?
- Over the last ten years it is down 12.9%. 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 Government Effectiveness (standard error). Statizoid updates them automatically from the source API.
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CSV · JSON — 13 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
See definition GV.GOVT.EF.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.