Control of Corruption - Governance estimate in Sierra Leone
Sierra Leone: Control of Corruption - Governance estimate was -0.7023 approx. -2.5 to +2.5 in 2024. ▲ Rising
Control of Corruption - Governance estimate in Sierra Leone, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
Sierra Leone recorded -0.7023 approx. -2.5 to +2.5 for control of corruption - governance estimate in 2024.
Compared with earlier readings it is down 23.5% on the previous year and up 16.6% over ten years.
Over the whole period, control of corruption - governance estimate in Sierra Leone peaked at -0.4611 approx. -2.5 to +2.5 in 2020 and was at its lowest, -1.04 approx. -2.5 to +2.5, in 2005.
That places Sierra Leone 147th out of 204 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.6556 approx. -2.5 to +2.5 | -0.6644 approx. -2.5 to +2.5 | -0.6468 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.8639 approx. -2.5 to +2.5 | -1.04 approx. -2.5 to +2.5 | -0.6704 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.7047 approx. -2.5 to +2.5 | -0.8422 approx. -2.5 to +2.5 | -0.5129 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.5527 approx. -2.5 to +2.5 | -0.7023 approx. -2.5 to +2.5 | -0.4611 approx. -2.5 to +2.5 | 5 |
Countries ranked near Sierra Leone
More reference data data for Sierra Leone
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.5935 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.5935 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.12 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0238 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.4498 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.91 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.6534 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 2.72 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.044 (2050)
- Summer temperature anomalies 0.8874 (2026)
Frequently asked questions
- What is control of corruption - governance estimate in Sierra Leone?
- Control of corruption - governance estimate in Sierra Leone was -0.7023 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest control of corruption - governance estimate recorded in Sierra Leone?
- The highest recorded value was -0.4611 approx. -2.5 to +2.5 in 2020.
- What is the lowest control of corruption - governance estimate recorded in Sierra Leone?
- The lowest recorded value was -1.04 approx. -2.5 to +2.5 in 2005.
- How does Sierra Leone rank for control of corruption - governance estimate?
- Sierra Leone ranks 147th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Sierra Leone?
- Over the last ten years it is up 16.6%. The long-run trend across the full record is rising.
- Where does this Sierra Leone data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Control of Corruption - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Control of Corruption (CC) captures perceptions of the extent to which public power is used for private gain, including both petty and grand corruption, as well as capture of the state by elites and private interests. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.