Rule of Law in Comoros
Comoros: Rule of Law was 0.1905 standard error in 2011. ▼ Falling
Rule of Law in Comoros, 1996–2011
Source: World Bank Institute. Measured in standard error.
Analysis
The most recent figure for rule of law in Comoros is 0.1905 standard error, measured in 2011. That is the lowest value across all 13 years on record.
The figure is down 1.0% on the previous year and down 24.6% over ten years.
Over the whole period, rule of law in Comoros peaked at 0.3693 standard error in 1996 and was at its lowest, 0.1905 standard error, in 2011.
Comoros 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.
Rule of Law in Comoros, year by year
| Year | standard error | Change |
|---|---|---|
| 1996 | 0.3693 standard error | — |
| 1998 | 0.2996 standard error | -18.9% |
| 2000 | 0.2527 standard error | -15.7% |
| 2002 | 0.2749 standard error | +8.8% |
| 2003 | 0.2674 standard error | -2.7% |
| 2004 | 0.2436 standard error | -8.9% |
| 2005 | 0.2411 standard error | -1.0% |
| 2006 | 0.2405 standard error | -0.3% |
| 2007 | 0.2397 standard error | -0.3% |
| 2008 | 0.2035 standard error | -15.1% |
| 2009 | 0.2006 standard error | -1.4% |
| 2010 | 0.1924 standard error | -4.1% |
| 2011 | 0.1905 standard error | -1.0% |
Comoros compared with similar countries
- Comoros's 0.1905 standard error is above the median for lower middle income countries, which is 0.132 standard error, 1.4× the median. (24 countries reporting)
- Comoros's 0.1905 standard error is above the median for Sub-Saharan Africa, which is 0.1348 standard error, 1.4× the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.3345 standard error | 0.2996 standard error | 0.3693 standard error | 2 |
| 2000s | 0.2404 standard error | 0.2006 standard error | 0.2749 standard error | 9 |
| 2010s | 0.1915 standard error | 0.1905 standard error | 0.1924 standard error | 2 |
Countries ranked near Comoros
- 2 Guinea-Bissau 0.1855 standard error compare
- 3 Somalia 0.1827 standard error compare
- 4 Seychelles 0.1538 standard error compare
More reference data data for Comoros
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.002 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0385 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0444 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0039 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0444 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0068 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0026 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.1837 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.2155 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0211 (2050)
Frequently asked questions
- What is rule of law in Comoros?
- Rule of law in Comoros was 0.1905 standard error in 2011, according to World Bank Institute.
- What is the highest rule of law recorded in Comoros?
- The highest recorded value was 0.3693 standard error in 1996.
- What is the lowest rule of law recorded in Comoros?
- The lowest recorded value was 0.1905 standard error in 2011.
- How does Comoros rank for rule of law?
- Comoros ranks 1st out of 53 countries with data for 2011.
- Is rule of law rising or falling in Comoros?
- Over the last ten years it is down 24.6%. The long-run trend across the full record is falling.
- Where does this Comoros data come from?
- The figures come from World Bank Institute, published as part of Rule of Law (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.RULE.LW.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.