Control of Corruption - Governance estimate (approx. -2.5 to +2.5) in Georgia
Georgia: Control of Corruption - Governance estimate (approx. -2.5 to +2.5) was -0.1401 approx. -2.5 to +2.5 in 2025. ◆ Volatile
Control of Corruption - Governance estimate in Georgia, 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
In 2025, control of corruption - governance estimate in Georgia stood at -0.1401 approx. -2.5 to +2.5.
Compared with earlier readings it is down 134.6% on the previous year and down 118.5% over ten years.
Over the whole period, control of corruption - governance estimate in Georgia peaked at 0.8451 approx. -2.5 to +2.5 in 2019 and was at its lowest, -1.58 approx. -2.5 to +2.5, in 2000.
That places Georgia 99th out of 208 countries with data for 2025, 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 (approx. -2.5 to +2.5) in Georgia, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | -1.5 approx. -2.5 to +2.5 | — |
| 1998 | -1.42 approx. -2.5 to +2.5 | -5.1% |
| 2000 | -1.58 approx. -2.5 to +2.5 | +11.1% |
| 2002 | -1.52 approx. -2.5 to +2.5 | -3.8% |
| 2003 | -0.9868 approx. -2.5 to +2.5 | -35.2% |
| 2004 | -0.0357 approx. -2.5 to +2.5 | -96.4% |
| 2005 | 0.1476 approx. -2.5 to +2.5 | -514.0% |
| 2006 | 0.2868 approx. -2.5 to +2.5 | +94.3% |
| 2007 | 0.0727 approx. -2.5 to +2.5 | -74.7% |
| 2008 | 0.1284 approx. -2.5 to +2.5 | +76.8% |
| 2009 | 0.1498 approx. -2.5 to +2.5 | +16.6% |
| 2010 | 0.2617 approx. -2.5 to +2.5 | +74.7% |
| 2011 | 0.327 approx. -2.5 to +2.5 | +25.0% |
| 2012 | 0.5304 approx. -2.5 to +2.5 | +62.2% |
| 2013 | 0.5523 approx. -2.5 to +2.5 | +4.1% |
| 2014 | 0.7884 approx. -2.5 to +2.5 | +42.7% |
| 2015 | 0.7554 approx. -2.5 to +2.5 | -4.2% |
| 2016 | 0.7797 approx. -2.5 to +2.5 | +3.2% |
| 2017 | 0.8426 approx. -2.5 to +2.5 | +8.1% |
| 2018 | 0.8443 approx. -2.5 to +2.5 | +0.2% |
| 2019 | 0.8451 approx. -2.5 to +2.5 | +0.1% |
| 2020 | 0.8156 approx. -2.5 to +2.5 | -3.5% |
| 2021 | 0.7241 approx. -2.5 to +2.5 | -11.2% |
| 2022 | 0.6516 approx. -2.5 to +2.5 | -10.0% |
| 2023 | 0.6723 approx. -2.5 to +2.5 | +3.2% |
| 2024 | 0.4049 approx. -2.5 to +2.5 | -39.8% |
| 2025 | -0.1401 approx. -2.5 to +2.5 | -134.6% |
Georgia compared with similar countries
- Georgia's -0.1401 approx. -2.5 to +2.5 is above the median for upper middle income countries, which is -0.3085 approx. -2.5 to +2.5, 45% of the median. (59 countries reporting)
- Georgia's -0.1401 approx. -2.5 to +2.5 is below the median for Europe & Central Asia, which is 0.6054 approx. -2.5 to +2.5. (54 countries reporting)
Biggest year-on-year movements
Years where Control of Corruption - Governance estimate (approx. -2.5 to +2.5) in Georgia 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 |
|---|---|---|---|
| 2005 | +514.0% | -0.0357 approx. -2.5 to +2.5 | 0.1476 approx. -2.5 to +2.5 |
| 2025 | -134.6% | 0.4049 approx. -2.5 to +2.5 | -0.1401 approx. -2.5 to +2.5 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -1.46 approx. -2.5 to +2.5 | -1.5 approx. -2.5 to +2.5 | -1.42 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.3713 approx. -2.5 to +2.5 | -1.58 approx. -2.5 to +2.5 | 0.2868 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.6527 approx. -2.5 to +2.5 | 0.2617 approx. -2.5 to +2.5 | 0.8451 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.5214 approx. -2.5 to +2.5 | -0.1401 approx. -2.5 to +2.5 | 0.8156 approx. -2.5 to +2.5 | 6 |
Countries ranked near Georgia
More reference data data for Georgia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.097 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.684 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.01 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0278 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.01 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.3252 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.2904 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 3.69 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 5.28 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.1515 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Georgia?
- Control of corruption - governance estimate in Georgia was -0.1401 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 Georgia?
- The highest recorded value was 0.8451 approx. -2.5 to +2.5 in 2019.
- What is the lowest control of corruption - governance estimate recorded in Georgia?
- The lowest recorded value was -1.58 approx. -2.5 to +2.5 in 2000.
- How does Georgia rank for control of corruption - governance estimate?
- Georgia ranks 99th out of 208 countries with data for 2025.
- Is control of corruption - governance estimate rising or falling in Georgia?
- Over the last ten years it is down 118.5%. The long-run trend across the full record is volatile.
- Where does this Georgia 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.
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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.