China, People's Republic of vs Hungary: Control of Corruption - Governance estimate

China, People's Republic of
0.0887 approx. -2.5 to +2.5
in 2024
Hungary
0.0394 approx. -2.5 to +2.5
in 2024
China, People's Republic of rank
88th
Hungary rank
89th

Control of Corruption - Governance estimate over time

  • China, People's Republic of
  • Hungary
-0.500.51199620102024

How they compare

China, People's Republic of currently reports 0.0887 approx. -2.5 to +2.5 against 0.0394 approx. -2.5 to +2.5 in Hungary, a difference of 0.0493 approx. -2.5 to +2.5.

That makes China, People's Republic of's figure about 2.2 times Hungary's.

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

China, People's Republic of ranks 88th and Hungary ranks 89th of 204 countries.

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

Head to head by decade

Decade China, People's Republic of Hungary Difference Ahead
1990s -0.3821 approx. -2.5 to +2.5 0.8521 approx. -2.5 to +2.5 1.23 approx. -2.5 to +2.5 Hungary
2000s -0.5902 approx. -2.5 to +2.5 0.5626 approx. -2.5 to +2.5 1.15 approx. -2.5 to +2.5 Hungary
2010s -0.2733 approx. -2.5 to +2.5 0.2169 approx. -2.5 to +2.5 0.4902 approx. -2.5 to +2.5 Hungary
2020s 0.0709 approx. -2.5 to +2.5 0.0872 approx. -2.5 to +2.5 0.0163 approx. -2.5 to +2.5 Hungary

Averages of every year both report within each decade.

Frequently asked questions

Which has higher control of corruption - governance estimate, China, People's Republic of or Hungary?
China, People's Republic of, at 0.0887 approx. -2.5 to +2.5 against 0.0394 approx. -2.5 to +2.5 in Hungary as of 2024.
What is the difference in control of corruption - governance estimate between China, People's Republic of and Hungary?
0.0493 approx. -2.5 to +2.5, with China, People's Republic of ahead.
How many years of comparable data are there for China, People's Republic of and Hungary?
26 years are reported by both, from 1996 to 2024.
How do China, People's Republic of and Hungary rank globally for control of corruption - governance estimate?
China, People's Republic of ranks 88th and Hungary ranks 89th 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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China, People's Republic of vs Hungary: 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 18 August 2026, from https://reference.statizoid.com/compare/control-of-corruption-governance-estimate-approx-2-5-to-2-5/china/hungary/

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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.