Voice and Accountability in Seychelles
Seychelles: Voice and Accountability was 0.1633 standard error in 2011. ▼ Falling
Voice and Accountability in Seychelles, 1996–2011
Source: World Bank Institute. Measured in standard error.
Analysis
In 2011, voice and accountability in Seychelles stood at 0.1633 standard error. That is the lowest value across all 13 years on record.
Compared with earlier readings it is down 2.0% on the previous year and down 39.0% over ten years.
Over the whole period, voice and accountability in Seychelles peaked at 0.2994 standard error in 1996 and was at its lowest, 0.1633 standard error, in 2011.
Seychelles ranks 1st 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.
Voice and Accountability in Seychelles, year by year
| Year | standard error | Change |
|---|---|---|
| 1996 | 0.2994 standard error | — |
| 1998 | 0.2967 standard error | -0.9% |
| 2000 | 0.2675 standard error | -9.8% |
| 2002 | 0.2285 standard error | -14.6% |
| 2003 | 0.2196 standard error | -3.9% |
| 2004 | 0.1933 standard error | -12.0% |
| 2005 | 0.1944 standard error | +0.6% |
| 2006 | 0.1739 standard error | -10.6% |
| 2007 | 0.1723 standard error | -0.9% |
| 2008 | 0.171 standard error | -0.8% |
| 2009 | 0.1685 standard error | -1.4% |
| 2010 | 0.1667 standard error | -1.1% |
| 2011 | 0.1633 standard error | -2.0% |
Seychelles compared with similar countries
- Seychelles's 0.1633 standard error is above the median for Sub-Saharan Africa, which is 0.1248 standard error, 1.3× the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.298 standard error | 0.2967 standard error | 0.2994 standard error | 2 |
| 2000s | 0.1988 standard error | 0.1685 standard error | 0.2675 standard error | 9 |
| 2010s | 0.165 standard error | 0.1633 standard error | 0.1667 standard error | 2 |
Countries ranked near Seychelles
- 2 Sao Tome and Principe 0.162 standard error compare
- 3 Comoros 0.162 standard error compare
- 4 Cape Verde 0.1577 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 voice and accountability in Seychelles?
- Voice and accountability in Seychelles was 0.1633 standard error in 2011, according to World Bank Institute.
- What is the highest voice and accountability recorded in Seychelles?
- The highest recorded value was 0.2994 standard error in 1996.
- What is the lowest voice and accountability recorded in Seychelles?
- The lowest recorded value was 0.1633 standard error in 2011.
- How does Seychelles rank for voice and accountability?
- Seychelles ranks 1st out of 53 countries with data for 2011.
- Is voice and accountability rising or falling in Seychelles?
- Over the last ten years it is down 39.0%. 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 Voice and Accountability (standard error). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 13 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
See definition GV.VOIC.AC.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.