Control of Corruption - Governance estimate (approx. -2.5 to +2.5) in Bhutan
Bhutan: Control of Corruption - Governance estimate (approx. -2.5 to +2.5) was 1.47 approx. -2.5 to +2.5 in 2025. ▲ Rising
Control of Corruption - Governance estimate in Bhutan, 1996–2025
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
The most recent figure for control of corruption - governance estimate in Bhutan is 1.47 approx. -2.5 to +2.5, measured in 2025. That is the highest value across all 27 years on record.
That represents a change of up 0.2% on the previous year and up 36.6% over ten years.
Over the whole period, control of corruption - governance estimate in Bhutan peaked at 1.47 approx. -2.5 to +2.5 in 2025 and was at its lowest, 0.4442 approx. -2.5 to +2.5, in 2000.
Bhutan ranks 21st of 208 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 27 years of available data.
Control of Corruption - Governance estimate (approx. -2.5 to +2.5) in Bhutan, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | 0.7642 approx. -2.5 to +2.5 | — |
| 1998 | 0.7477 approx. -2.5 to +2.5 | -2.2% |
| 2000 | 0.4442 approx. -2.5 to +2.5 | -40.6% |
| 2002 | 0.4804 approx. -2.5 to +2.5 | +8.2% |
| 2003 | 1.07 approx. -2.5 to +2.5 | +122.3% |
| 2004 | 0.7546 approx. -2.5 to +2.5 | -29.3% |
| 2005 | 0.9942 approx. -2.5 to +2.5 | +31.8% |
| 2006 | 0.82 approx. -2.5 to +2.5 | -17.5% |
| 2007 | 0.8495 approx. -2.5 to +2.5 | +3.6% |
| 2008 | 0.8763 approx. -2.5 to +2.5 | +3.2% |
| 2009 | 0.7759 approx. -2.5 to +2.5 | -11.5% |
| 2010 | 0.7761 approx. -2.5 to +2.5 | +0.0% |
| 2011 | 0.7179 approx. -2.5 to +2.5 | -7.5% |
| 2012 | 0.8139 approx. -2.5 to +2.5 | +13.4% |
| 2013 | 0.7857 approx. -2.5 to +2.5 | -3.5% |
| 2014 | 1.09 approx. -2.5 to +2.5 | +38.7% |
| 2015 | 1.08 approx. -2.5 to +2.5 | -1.0% |
| 2016 | 1.17 approx. -2.5 to +2.5 | +8.3% |
| 2017 | 1.45 approx. -2.5 to +2.5 | +24.1% |
| 2018 | 1.45 approx. -2.5 to +2.5 | +0.1% |
| 2019 | 1.46 approx. -2.5 to +2.5 | +0.9% |
| 2020 | 1.34 approx. -2.5 to +2.5 | -8.4% |
| 2021 | 1.32 approx. -2.5 to +2.5 | -1.6% |
| 2022 | 1.35 approx. -2.5 to +2.5 | +2.6% |
| 2023 | 1.35 approx. -2.5 to +2.5 | +0.0% |
| 2024 | 1.47 approx. -2.5 to +2.5 | +8.7% |
| 2025 | 1.47 approx. -2.5 to +2.5 | +0.2% |
Bhutan compared with similar countries
- Bhutan's 1.47 approx. -2.5 to +2.5 is above the median for lower middle income countries, which is -0.7787 approx. -2.5 to +2.5. (47 countries reporting)
- Bhutan's 1.47 approx. -2.5 to +2.5 is above the median for South Asia, which is -0.3085 approx. -2.5 to +2.5. (6 countries reporting)
Biggest year-on-year movements
Years where Control of Corruption - Governance estimate (approx. -2.5 to +2.5) in Bhutan 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 |
|---|---|---|---|
| 2003 | +122.3% | 0.4804 approx. -2.5 to +2.5 | 1.07 approx. -2.5 to +2.5 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.7559 approx. -2.5 to +2.5 | 0.7477 approx. -2.5 to +2.5 | 0.7642 approx. -2.5 to +2.5 | 2 |
| 2000s | 0.7848 approx. -2.5 to +2.5 | 0.4442 approx. -2.5 to +2.5 | 1.07 approx. -2.5 to +2.5 | 9 |
| 2010s | 1.08 approx. -2.5 to +2.5 | 0.7179 approx. -2.5 to +2.5 | 1.46 approx. -2.5 to +2.5 | 10 |
| 2020s | 1.38 approx. -2.5 to +2.5 | 1.32 approx. -2.5 to +2.5 | 1.47 approx. -2.5 to +2.5 | 6 |
Countries ranked near Bhutan
More reference data data for Bhutan
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0217 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0671 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.1192 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0167 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.1192 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0727 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0153 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.3489 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.5881 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0909 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Bhutan?
- Control of corruption - governance estimate in Bhutan was 1.47 approx. -2.5 to +2.5 in 2025, 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 Bhutan?
- The highest recorded value was 1.47 approx. -2.5 to +2.5 in 2025.
- What is the lowest control of corruption - governance estimate recorded in Bhutan?
- The lowest recorded value was 0.4442 approx. -2.5 to +2.5 in 2000.
- How does Bhutan rank for control of corruption - governance estimate?
- Bhutan ranks 21st out of 208 countries with data for 2025.
- Is control of corruption - governance estimate rising or falling in Bhutan?
- Over the last ten years it is up 36.6%. The long-run trend across the full record is rising.
- Where does this Bhutan 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 — 27 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.