Control of Corruption - Governance estimate in Malaysia
Malaysia: Control of Corruption - Governance estimate was 0.4984 approx. -2.5 to +2.5 in 2024. ◆ Volatile
Control of Corruption - Governance estimate in Malaysia, 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
Malaysia recorded 0.4984 approx. -2.5 to +2.5 for control of corruption - governance estimate in 2024. That is the highest value across all 26 years on record.
The figure is up 30.9% on the previous year and up 68.8% over ten years.
Over the whole period, control of corruption - governance estimate in Malaysia peaked at 0.4984 approx. -2.5 to +2.5 in 2024 and was at its lowest, -0.1462 approx. -2.5 to +2.5, in 2009.
That places Malaysia 67th 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 | 0.2393 approx. -2.5 to +2.5 | 0.1267 approx. -2.5 to +2.5 | 0.3518 approx. -2.5 to +2.5 | 2 |
| 2000s | 0.0481 approx. -2.5 to +2.5 | -0.1462 approx. -2.5 to +2.5 | 0.1526 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.2056 approx. -2.5 to +2.5 | -0.0492 approx. -2.5 to +2.5 | 0.4935 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.3944 approx. -2.5 to +2.5 | 0.3015 approx. -2.5 to +2.5 | 0.4984 approx. -2.5 to +2.5 | 5 |
Countries ranked near Malaysia
More reference data data for Malaysia
- Emission Totals - Emissions (CH4) - Burning - Crop residues 1.25 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 870.95 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 214.59 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 5,147 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 8.59 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 36.51 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 221.56 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 57.27 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 870.95 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 35.02 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Malaysia?
- Control of corruption - governance estimate in Malaysia was 0.4984 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 Malaysia?
- The highest recorded value was 0.4984 approx. -2.5 to +2.5 in 2024.
- What is the lowest control of corruption - governance estimate recorded in Malaysia?
- The lowest recorded value was -0.1462 approx. -2.5 to +2.5 in 2009.
- How does Malaysia rank for control of corruption - governance estimate?
- Malaysia ranks 67th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Malaysia?
- Over the last ten years it is up 68.8%. The long-run trend across the full record is volatile.
- Where does this Malaysia 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.