Regulatory Quality in Seychelles
Seychelles: Regulatory Quality was 0.2119 standard error in 2011. ▼ Falling
Regulatory Quality in Seychelles, 1996–2011
Source: World Bank Institute. Measured in standard error.
Analysis
Seychelles recorded 0.2119 standard error for regulatory quality in 2011.
That represents a change of down 1.3% on the previous year and down 29.1% over ten years.
Over the whole period, regulatory quality in Seychelles peaked at 0.4796 standard error in 1996 and was at its lowest, 0.1971 standard error, in 2005.
Seychelles ranks 3rd 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.
Regulatory Quality in Seychelles, year by year
| Year | standard error | Change |
|---|---|---|
| 1996 | 0.4796 standard error | — |
| 1998 | 0.3271 standard error | -31.8% |
| 2000 | 0.2989 standard error | -8.6% |
| 2002 | 0.2995 standard error | +0.2% |
| 2003 | 0.2508 standard error | -16.2% |
| 2004 | 0.2119 standard error | -15.5% |
| 2005 | 0.1971 standard error | -7.0% |
| 2006 | 0.2243 standard error | +13.8% |
| 2007 | 0.2248 standard error | +0.2% |
| 2008 | 0.2119 standard error | -5.7% |
| 2009 | 0.2013 standard error | -5.0% |
| 2010 | 0.2146 standard error | +6.6% |
| 2011 | 0.2119 standard error | -1.3% |
Seychelles compared with similar countries
- Seychelles's 0.2119 standard error is above the median for Sub-Saharan Africa, which is 0.1645 standard error, 1.3× the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.4034 standard error | 0.3271 standard error | 0.4796 standard error | 2 |
| 2000s | 0.2356 standard error | 0.1971 standard error | 0.2995 standard error | 9 |
| 2010s | 0.2132 standard error | 0.2119 standard error | 0.2146 standard error | 2 |
Countries ranked near Seychelles
- 1 Somalia 0.2155 standard error compare
- 2 Comoros 0.2138 standard error compare
- 4 Guinea-Bissau 0.2076 standard error compare
- 5 Djibouti 0.1991 standard error compare
- 5 Equatorial Guinea 0.1991 standard error compare
- 5 Sao Tome and Principe 0.1991 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 regulatory quality in Seychelles?
- Regulatory quality in Seychelles was 0.2119 standard error in 2011, according to World Bank Institute.
- What is the highest regulatory quality recorded in Seychelles?
- The highest recorded value was 0.4796 standard error in 1996.
- What is the lowest regulatory quality recorded in Seychelles?
- The lowest recorded value was 0.1971 standard error in 2005.
- How does Seychelles rank for regulatory quality?
- Seychelles ranks 3rd out of 53 countries with data for 2011.
- Is regulatory quality rising or falling in Seychelles?
- Over the last ten years it is down 29.1%. 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 Regulatory Quality (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.REGL.LA.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.