Control of Corruption - Governance estimate in Angola
Angola: Control of Corruption - Governance estimate was -0.6226 approx. -2.5 to +2.5 in 2024. ▲ Rising
Control of Corruption - Governance estimate in Angola, 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
Angola recorded -0.6226 approx. -2.5 to +2.5 for control of corruption - governance estimate in 2024.
That represents a change of up 0.3% on the previous year and up 58.1% over ten years.
Over the whole period, control of corruption - governance estimate in Angola peaked at -0.6032 approx. -2.5 to +2.5 in 2022 and was at its lowest, -1.49 approx. -2.5 to +2.5, in 2016.
That places Angola 142nd 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 | -1.2 approx. -2.5 to +2.5 | -1.28 approx. -2.5 to +2.5 | -1.12 approx. -2.5 to +2.5 | 2 |
| 2000s | -1.28 approx. -2.5 to +2.5 | -1.32 approx. -2.5 to +2.5 | -1.22 approx. -2.5 to +2.5 | 9 |
| 2010s | -1.36 approx. -2.5 to +2.5 | -1.49 approx. -2.5 to +2.5 | -0.9648 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.6767 approx. -2.5 to +2.5 | -0.8918 approx. -2.5 to +2.5 | -0.6032 approx. -2.5 to +2.5 | 5 |
Countries ranked near Angola
More reference data data for Angola
- Emission Totals - Emissions (N2O) - IPCC Agriculture 20.43 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.4536 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.163 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.52 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 3.82 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 15.22 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8877 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.82 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 4,033 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.1019 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Angola?
- Control of corruption - governance estimate in Angola was -0.6226 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 Angola?
- The highest recorded value was -0.6032 approx. -2.5 to +2.5 in 2022.
- What is the lowest control of corruption - governance estimate recorded in Angola?
- The lowest recorded value was -1.49 approx. -2.5 to +2.5 in 2016.
- How does Angola rank for control of corruption - governance estimate?
- Angola ranks 142nd out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Angola?
- Over the last ten years it is up 58.1%. The long-run trend across the full record is rising.
- Where does this Angola 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.