Control of Corruption - Governance estimate in China
China: Control of Corruption - Governance estimate was 0.0887 approx. -2.5 to +2.5 in 2024. ◆ Volatile
Control of Corruption - Governance estimate in China, 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
In 2024, control of corruption - governance estimate in China stood at 0.0887 approx. -2.5 to +2.5.
Compared with earlier readings it is down 22.1% on the previous year and up 129.4% over ten years.
Over the whole period, control of corruption - governance estimate in China peaked at 0.1138 approx. -2.5 to +2.5 in 2023 and was at its lowest, -0.6866 approx. -2.5 to +2.5, in 2006.
That places China 88th out of 205 countries with data for 2024, putting it 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 China, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | -0.3308 approx. -2.5 to +2.5 | — |
| 1998 | -0.4335 approx. -2.5 to +2.5 | +31.1% |
| 2000 | -0.5104 approx. -2.5 to +2.5 | +17.7% |
| 2002 | -0.5858 approx. -2.5 to +2.5 | +14.8% |
| 2003 | -0.5215 approx. -2.5 to +2.5 | -11.0% |
| 2004 | -0.6391 approx. -2.5 to +2.5 | +22.5% |
| 2005 | -0.6674 approx. -2.5 to +2.5 | +4.4% |
| 2006 | -0.6866 approx. -2.5 to +2.5 | +2.9% |
| 2007 | -0.6142 approx. -2.5 to +2.5 | -10.5% |
| 2008 | -0.5069 approx. -2.5 to +2.5 | -17.5% |
| 2009 | -0.5795 approx. -2.5 to +2.5 | +14.3% |
| 2010 | -0.5892 approx. -2.5 to +2.5 | +1.7% |
| 2011 | -0.4401 approx. -2.5 to +2.5 | -25.3% |
| 2012 | -0.5068 approx. -2.5 to +2.5 | +15.2% |
| 2013 | -0.458 approx. -2.5 to +2.5 | -9.6% |
| 2014 | -0.3014 approx. -2.5 to +2.5 | -34.2% |
| 2015 | -0.1751 approx. -2.5 to +2.5 | -41.9% |
| 2016 | -0.093 approx. -2.5 to +2.5 | -46.9% |
| 2017 | -0.0492 approx. -2.5 to +2.5 | -47.0% |
| 2018 | -0.0702 approx. -2.5 to +2.5 | +42.4% |
| 2019 | -0.0496 approx. -2.5 to +2.5 | -29.3% |
| 2020 | 0.0531 approx. -2.5 to +2.5 | -207.1% |
| 2021 | 0.0557 approx. -2.5 to +2.5 | +4.8% |
| 2022 | 0.0432 approx. -2.5 to +2.5 | -22.4% |
| 2023 | 0.1138 approx. -2.5 to +2.5 | +163.3% |
| 2024 | 0.0887 approx. -2.5 to +2.5 | -22.1% |
China compared with similar countries
- China's 0.0887 approx. -2.5 to +2.5 is above the median for upper middle income countries, which is -0.3292 approx. -2.5 to +2.5. (59 countries reporting)
- China's 0.0887 approx. -2.5 to +2.5 is below the median for East Asia & Pacific, which is 0.4446 approx. -2.5 to +2.5, 20% of the median. (34 countries reporting)
Biggest year-on-year movements
Years where Control of Corruption - Governance estimate in China 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 |
|---|---|---|---|
| 2020 | +207.1% | -0.0496 approx. -2.5 to +2.5 | 0.0531 approx. -2.5 to +2.5 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.3821 approx. -2.5 to +2.5 | -0.4335 approx. -2.5 to +2.5 | -0.3308 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.5902 approx. -2.5 to +2.5 | -0.6866 approx. -2.5 to +2.5 | -0.5069 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.2733 approx. -2.5 to +2.5 | -0.5892 approx. -2.5 to +2.5 | -0.0492 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.0709 approx. -2.5 to +2.5 | 0.0432 approx. -2.5 to +2.5 | 0.1138 approx. -2.5 to +2.5 | 5 |
Countries ranked near China
More reference data data for China
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 49.4 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 75.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 165.62 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 206.2 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 102.37 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in China?
- Control of corruption - governance estimate in China was 0.0887 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 China?
- The highest recorded value was 0.1138 approx. -2.5 to +2.5 in 2023.
- What is the lowest control of corruption - governance estimate recorded in China?
- The lowest recorded value was -0.6866 approx. -2.5 to +2.5 in 2006.
- How does China rank for control of corruption - governance estimate?
- China ranks 88th out of 205 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in China?
- Over the last ten years it is up 129.4%. The long-run trend across the full record is volatile.
- Where does this China 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.