Comoros vs Iran: Control of Corruption - Governance estimate

Comoros
-1.14 approx. -2.5 to +2.5
in 2024
Iran
-1.15 approx. -2.5 to +2.5
in 2024
Comoros rank
174th
Iran rank
175th

Control of Corruption - Governance estimate over time

  • Comoros
  • Iran
-1.5-1.2-1-0.75-0.5-0.25199620102024

How they compare

Comoros currently reports -1.14 approx. -2.5 to +2.5 against -1.15 approx. -2.5 to +2.5 in Iran, a difference of 0.01 approx. -2.5 to +2.5.

The two have swapped places 3 times across 26 shared years of data; in 1996 it was Iran ahead.

Comoros ranks 174th and Iran ranks 175th of 204 countries.

Iran has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Comoros Iran Difference Ahead
1990s -0.9443 approx. -2.5 to +2.5 -0.3011 approx. -2.5 to +2.5 0.6431 approx. -2.5 to +2.5 Iran
2000s -0.7485 approx. -2.5 to +2.5 -0.6874 approx. -2.5 to +2.5 0.0611 approx. -2.5 to +2.5 Iran
2010s -0.8945 approx. -2.5 to +2.5 -0.8864 approx. -2.5 to +2.5 0.0081 approx. -2.5 to +2.5 Iran
2020s -1.27 approx. -2.5 to +2.5 -1.14 approx. -2.5 to +2.5 0.1361 approx. -2.5 to +2.5 Iran

Averages of every year both report within each decade.

Frequently asked questions

Which has higher control of corruption - governance estimate, Comoros or Iran?
Comoros, at -1.14 approx. -2.5 to +2.5 against -1.15 approx. -2.5 to +2.5 in Iran as of 2024.
What is the difference in control of corruption - governance estimate between Comoros and Iran?
0.01 approx. -2.5 to +2.5, with Comoros ahead.
How many years of comparable data are there for Comoros and Iran?
26 years are reported by both, from 1996 to 2024.
How do Comoros and Iran rank globally for control of corruption - governance estimate?
Comoros ranks 174th and Iran ranks 175th 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

Comoros vs Iran: 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 17 August 2026, from https://reference.statizoid.com/compare/control-of-corruption-governance-estimate-approx-2-5-to-2-5/comoros/iran-islamic-rep/

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/comoros/iran-islamic-rep/">Comoros vs Iran: 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.