Control of Corruption - Governance estimate in Hungary
Hungary: Control of Corruption - Governance estimate was 0.0394 approx. -2.5 to +2.5 in 2024. ◆ Volatile
Control of Corruption - Governance estimate in Hungary, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
Hungary recorded 0.0394 approx. -2.5 to +2.5 for control of corruption - governance estimate in 2024. That is the lowest value across all 26 years on record.
The figure is down 52.6% on the previous year and down 77.2% over ten years.
Over the whole period, control of corruption - governance estimate in Hungary peaked at 0.911 approx. -2.5 to +2.5 in 1996 and was at its lowest, 0.0394 approx. -2.5 to +2.5, in 2024.
Hungary ranks 89th of 205 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Control of Corruption - Governance estimate in Hungary, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | 0.911 approx. -2.5 to +2.5 | — |
| 1998 | 0.7931 approx. -2.5 to +2.5 | -12.9% |
| 2000 | 0.7755 approx. -2.5 to +2.5 | -2.2% |
| 2002 | 0.5607 approx. -2.5 to +2.5 | -27.7% |
| 2003 | 0.5629 approx. -2.5 to +2.5 | +0.4% |
| 2004 | 0.6093 approx. -2.5 to +2.5 | +8.2% |
| 2005 | 0.6054 approx. -2.5 to +2.5 | -0.6% |
| 2006 | 0.6056 approx. -2.5 to +2.5 | +0.0% |
| 2007 | 0.5332 approx. -2.5 to +2.5 | -12.0% |
| 2008 | 0.4266 approx. -2.5 to +2.5 | -20.0% |
| 2009 | 0.3846 approx. -2.5 to +2.5 | -9.8% |
| 2010 | 0.2469 approx. -2.5 to +2.5 | -35.8% |
| 2011 | 0.2982 approx. -2.5 to +2.5 | +20.8% |
| 2012 | 0.3834 approx. -2.5 to +2.5 | +28.6% |
| 2013 | 0.3542 approx. -2.5 to +2.5 | -7.6% |
| 2014 | 0.1727 approx. -2.5 to +2.5 | -51.2% |
| 2015 | 0.1724 approx. -2.5 to +2.5 | -0.2% |
| 2016 | 0.1569 approx. -2.5 to +2.5 | -9.0% |
| 2017 | 0.1607 approx. -2.5 to +2.5 | +2.4% |
| 2018 | 0.1392 approx. -2.5 to +2.5 | -13.4% |
| 2019 | 0.0848 approx. -2.5 to +2.5 | -39.1% |
| 2020 | 0.1418 approx. -2.5 to +2.5 | +67.3% |
| 2021 | 0.1313 approx. -2.5 to +2.5 | -7.5% |
| 2022 | 0.0403 approx. -2.5 to +2.5 | -69.3% |
| 2023 | 0.0832 approx. -2.5 to +2.5 | +106.6% |
| 2024 | 0.0394 approx. -2.5 to +2.5 | -52.6% |
Hungary compared with similar countries
- Hungary's 0.0394 approx. -2.5 to +2.5 is below the median for high income countries, which is 0.9928 approx. -2.5 to +2.5, 4% of the median. (73 countries reporting)
- Hungary's 0.0394 approx. -2.5 to +2.5 is below the median for Europe & Central Asia, which is 0.5532 approx. -2.5 to +2.5, 7% of the median. (53 countries reporting)
Biggest year-on-year movements
Years where Control of Corruption - Governance estimate in Hungary changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2023 | +106.6% | 0.0403 approx. -2.5 to +2.5 | 0.0832 approx. -2.5 to +2.5 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.8521 approx. -2.5 to +2.5 | 0.7931 approx. -2.5 to +2.5 | 0.911 approx. -2.5 to +2.5 | 2 |
| 2000s | 0.5626 approx. -2.5 to +2.5 | 0.3846 approx. -2.5 to +2.5 | 0.7755 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.2169 approx. -2.5 to +2.5 | 0.0848 approx. -2.5 to +2.5 | 0.3834 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.0872 approx. -2.5 to +2.5 | 0.0394 approx. -2.5 to +2.5 | 0.1418 approx. -2.5 to +2.5 | 5 |
Countries ranked near Hungary
More reference data data for Hungary
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5538 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1724 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.75 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.5679 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.75 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.86 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.09 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.6937 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 12.77 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 3.09 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Hungary?
- Control of corruption - governance estimate in Hungary was 0.0394 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest control of corruption - governance estimate recorded in Hungary?
- The highest recorded value was 0.911 approx. -2.5 to +2.5 in 1996.
- What is the lowest control of corruption - governance estimate recorded in Hungary?
- The lowest recorded value was 0.0394 approx. -2.5 to +2.5 in 2024.
- How does Hungary rank for control of corruption - governance estimate?
- Hungary ranks 89th out of 205 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Hungary?
- Over the last ten years it is down 77.2%. The long-run trend across the full record is volatile.
- Where does this Hungary data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Control of Corruption - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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.