Control of Corruption - Governance estimate in Brazil
Brazil: Control of Corruption - Governance estimate was -0.4089 approx. -2.5 to +2.5 in 2024. ◆ Volatile
Control of Corruption - Governance estimate in Brazil, 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
In 2024, control of corruption - governance estimate in Brazil stood at -0.4089 approx. -2.5 to +2.5.
The figure is up 9.4% on the previous year and down 73.9% over ten years.
Over the whole period, control of corruption - governance estimate in Brazil peaked at 0.2098 approx. -2.5 to +2.5 in 2011 and was at its lowest, -0.4694 approx. -2.5 to +2.5, in 2017.
That places Brazil 124th out of 204 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.1436 approx. -2.5 to +2.5 | 0.1194 approx. -2.5 to +2.5 | 0.1678 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.0803 approx. -2.5 to +2.5 | -0.2877 approx. -2.5 to +2.5 | 0.1106 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.2081 approx. -2.5 to +2.5 | -0.4694 approx. -2.5 to +2.5 | 0.2098 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.4117 approx. -2.5 to +2.5 | -0.4563 approx. -2.5 to +2.5 | -0.3372 approx. -2.5 to +2.5 | 5 |
Countries ranked near Brazil
More reference data data for Brazil
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 13.82 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 72.83 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 139.27 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 9.01 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 139.27 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 46.34 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 18.99 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 405.35 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 699.19 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 49.04 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Brazil?
- Control of corruption - governance estimate in Brazil was -0.4089 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 Brazil?
- The highest recorded value was 0.2098 approx. -2.5 to +2.5 in 2011.
- What is the lowest control of corruption - governance estimate recorded in Brazil?
- The lowest recorded value was -0.4694 approx. -2.5 to +2.5 in 2017.
- How does Brazil rank for control of corruption - governance estimate?
- Brazil ranks 124th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Brazil?
- Over the last ten years it is down 73.9%. The long-run trend across the full record is volatile.
- Where does this Brazil 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.
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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.