Control of Corruption - Governance estimate in Russia
Russia: Control of Corruption - Governance estimate was -0.8911 approx. -2.5 to +2.5 in 2024. ▲ Rising
Control of Corruption - Governance estimate in Russia, 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 Russia stood at -0.8911 approx. -2.5 to +2.5.
Compared with earlier readings it is down 0.4% on the previous year and down 0.4% over ten years.
Over the whole period, control of corruption - governance estimate in Russia peaked at -0.7696 approx. -2.5 to +2.5 in 2019 and was at its lowest, -1.16 approx. -2.5 to +2.5, in 2009.
That places Russia 157th out of 204 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.9433 approx. -2.5 to +2.5 | -0.9704 approx. -2.5 to +2.5 | -0.9162 approx. -2.5 to +2.5 | 2 |
| 2000s | -1.04 approx. -2.5 to +2.5 | -1.16 approx. -2.5 to +2.5 | -0.8916 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.929 approx. -2.5 to +2.5 | -1.08 approx. -2.5 to +2.5 | -0.7696 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.821 approx. -2.5 to +2.5 | -0.8911 approx. -2.5 to +2.5 | -0.7728 approx. -2.5 to +2.5 | 5 |
Countries ranked near Russia
More reference data data for Russia
- Emission Totals - Indirect emissions (N2O) - Crop Residues 4.94 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 34,368 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 8,299 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 5,137 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 145.72 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 29,086 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 4,811 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 9.34 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.11 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.5499 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Russia?
- Control of corruption - governance estimate in Russia was -0.8911 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 Russia?
- The highest recorded value was -0.7696 approx. -2.5 to +2.5 in 2019.
- What is the lowest control of corruption - governance estimate recorded in Russia?
- The lowest recorded value was -1.16 approx. -2.5 to +2.5 in 2009.
- How does Russia rank for control of corruption - governance estimate?
- Russia ranks 157th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Russia?
- Over the last ten years it is down 0.4%. The long-run trend across the full record is rising.
- Where does this Russia 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.