Marshall Islands vs Saint Kitts and Nevis: Control of Corruption - Governance estimate

Marshall Islands
0.3907 approx. -2.5 to +2.5
in 2024
Saint Kitts and Nevis
0.3481 approx. -2.5 to +2.5
in 2024
Marshall Islands rank
71st
Saint Kitts and Nevis rank
74th

Control of Corruption - Governance estimate over time

  • Marshall Islands
  • Saint Kitts and Nevis
-0.500.511.5200420142024

How they compare

Marshall Islands currently reports 0.3907 approx. -2.5 to +2.5 against 0.3481 approx. -2.5 to +2.5 in Saint Kitts and Nevis, a difference of 0.0426 approx. -2.5 to +2.5.

That makes Marshall Islands's figure about 1.1 times Saint Kitts and Nevis's.

The two have swapped places 5 times across 20 shared years of data; in 2005 it was Saint Kitts and Nevis ahead.

Marshall Islands ranks 71st and Saint Kitts and Nevis ranks 74th of 204 countries.

Saint Kitts and Nevis has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Marshall Islands Saint Kitts and Nevis Difference Ahead
2000s -0.4049 approx. -2.5 to +2.5 1.05 approx. -2.5 to +2.5 1.45 approx. -2.5 to +2.5 Saint Kitts and Nevis
2010s 0.2138 approx. -2.5 to +2.5 0.7281 approx. -2.5 to +2.5 0.5143 approx. -2.5 to +2.5 Saint Kitts and Nevis
2020s 0.0568 approx. -2.5 to +2.5 0.3376 approx. -2.5 to +2.5 0.2808 approx. -2.5 to +2.5 Saint Kitts and Nevis

Averages of every year both report within each decade.

Frequently asked questions

Which has higher control of corruption - governance estimate, Marshall Islands or Saint Kitts and Nevis?
Marshall Islands, at 0.3907 approx. -2.5 to +2.5 against 0.3481 approx. -2.5 to +2.5 in Saint Kitts and Nevis as of 2024.
What is the difference in control of corruption - governance estimate between Marshall Islands and Saint Kitts and Nevis?
0.0426 approx. -2.5 to +2.5, with Marshall Islands ahead.
How many years of comparable data are there for Marshall Islands and Saint Kitts and Nevis?
20 years are reported by both, from 2005 to 2024.
How do Marshall Islands and Saint Kitts and Nevis rank globally for control of corruption - governance estimate?
Marshall Islands ranks 71st and Saint Kitts and Nevis ranks 74th 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.

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Marshall Islands vs Saint Kitts and Nevis: 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 29 August 2026, from https://reference.statizoid.com/compare/control-of-corruption-governance-estimate-approx-2-5-to-2-5/marshall-islands/st-kitts-and-nevis/

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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.