Malaysia vs Naoero: Control of Corruption - Governance estimate

Malaysia
0.4984 approx. -2.5 to +2.5
in 2024
Naoero
0.5049 approx. -2.5 to +2.5
in 2024
Malaysia rank
67th
Naoero rank
65th

Control of Corruption - Governance estimate over time

  • Malaysia
  • Naoero
-0.200.20.40.6199620102024

How they compare

Naoero currently reports 0.5049 approx. -2.5 to +2.5 against 0.4984 approx. -2.5 to +2.5 in Malaysia, a difference of 0.0065 approx. -2.5 to +2.5.

The two have swapped places 5 times across 18 shared years of data; in 2007 it was Malaysia ahead.

Malaysia ranks 67th and Naoero ranks 65th of 204 countries.

Across the 3 decades both report, Malaysia averaged higher in 1 and Naoero in 2.

Head to head by decade

Decade Malaysia Naoero Difference Ahead
2000s -0.0607 approx. -2.5 to +2.5 -0.1923 approx. -2.5 to +2.5 0.1316 approx. -2.5 to +2.5 Malaysia
2010s 0.2056 approx. -2.5 to +2.5 0.213 approx. -2.5 to +2.5 0.0073 approx. -2.5 to +2.5 Naoero
2020s 0.3944 approx. -2.5 to +2.5 0.458 approx. -2.5 to +2.5 0.0636 approx. -2.5 to +2.5 Naoero

Averages of every year both report within each decade.

Frequently asked questions

Which has higher control of corruption - governance estimate, Malaysia or Naoero?
Naoero, at 0.5049 approx. -2.5 to +2.5 against 0.4984 approx. -2.5 to +2.5 in Malaysia as of 2024.
What is the difference in control of corruption - governance estimate between Malaysia and Naoero?
0.0065 approx. -2.5 to +2.5, with Naoero ahead.
How many years of comparable data are there for Malaysia and Naoero?
18 years are reported by both, from 2007 to 2024.
How do Malaysia and Naoero rank globally for control of corruption - governance estimate?
Malaysia ranks 67th and Naoero ranks 65th of 204 countries.
Where does this data come from?
The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as Control of Corruption - Governance estimate (approx. -2.5 to +2.5). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Malaysia vs Naoero: Control of Corruption - Governance estimate. Statizoid, drawing on The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Retrieved 23 August 2026, from https://reference.statizoid.com/compare/control-of-corruption-governance-estimate-approx-2-5-to-2-5/malaysia/naoero/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/compare/control-of-corruption-governance-estimate-approx-2-5-to-2-5/malaysia/naoero/">Malaysia vs Naoero: Control of Corruption - Governance estimate</a> — Statizoid

About this data

Indicator
Control of Corruption - Governance estimate (approx. -2.5 to +2.5)
Unit
approx. -2.5 to +2.5
Source
The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
204 places, 5,167 data points, 1996–2024
Last refreshed

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.