Georgia vs Mauritius: Control of Corruption - Governance estimate

Georgia
0.3811 approx. -2.5 to +2.5
in 2024
Mauritius
0.3405 approx. -2.5 to +2.5
in 2024
Georgia rank
72nd
Mauritius rank
75th

Control of Corruption - Governance estimate over time

  • Georgia
  • Mauritius
-1.5-1-0.500.51199620102024

How they compare

Georgia currently reports 0.3811 approx. -2.5 to +2.5 against 0.3405 approx. -2.5 to +2.5 in Mauritius, a difference of 0.0406 approx. -2.5 to +2.5.

That makes Georgia's figure about 1.1 times Mauritius's.

The two have swapped places 1 time across 26 shared years of data; in 1996 it was Mauritius ahead.

Georgia ranks 72nd and Mauritius ranks 75th of 204 countries.

Across the 4 decades both report, Georgia averaged higher in 2 and Mauritius in 2.

Head to head by decade

Decade Georgia Mauritius Difference Ahead
1990s -1.45 approx. -2.5 to +2.5 0.4561 approx. -2.5 to +2.5 1.91 approx. -2.5 to +2.5 Mauritius
2000s -0.3797 approx. -2.5 to +2.5 0.3841 approx. -2.5 to +2.5 0.7638 approx. -2.5 to +2.5 Mauritius
2010s 0.6558 approx. -2.5 to +2.5 0.3507 approx. -2.5 to +2.5 0.3051 approx. -2.5 to +2.5 Georgia
2020s 0.6468 approx. -2.5 to +2.5 0.3672 approx. -2.5 to +2.5 0.2796 approx. -2.5 to +2.5 Georgia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher control of corruption - governance estimate, Georgia or Mauritius?
Georgia, at 0.3811 approx. -2.5 to +2.5 against 0.3405 approx. -2.5 to +2.5 in Mauritius as of 2024.
What is the difference in control of corruption - governance estimate between Georgia and Mauritius?
0.0406 approx. -2.5 to +2.5, with Georgia ahead.
How many years of comparable data are there for Georgia and Mauritius?
26 years are reported by both, from 1996 to 2024.
How do Georgia and Mauritius rank globally for control of corruption - governance estimate?
Georgia ranks 72nd and Mauritius ranks 75th 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

Georgia vs Mauritius: 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/georgia/mauritius/

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/georgia/mauritius/">Georgia vs Mauritius: 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.