Control of Corruption - Governance estimate in Argentina
Argentina: Control of Corruption - Governance estimate was -0.3257 approx. -2.5 to +2.5 in 2024. ▲ Rising
Control of Corruption - Governance estimate in Argentina, 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 Argentina stood at -0.3257 approx. -2.5 to +2.5.
The figure is up 8.0% on the previous year and up 51.1% over ten years.
Over the whole period, control of corruption - governance estimate in Argentina peaked at -0.0057 approx. -2.5 to +2.5 in 2018 and was at its lowest, -0.6661 approx. -2.5 to +2.5, in 2014.
Argentina ranks 114th of 204 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.3212 approx. -2.5 to +2.5 | -0.4175 approx. -2.5 to +2.5 | -0.2248 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.4162 approx. -2.5 to +2.5 | -0.5621 approx. -2.5 to +2.5 | -0.3051 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.354 approx. -2.5 to +2.5 | -0.6661 approx. -2.5 to +2.5 | -0.0057 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.2964 approx. -2.5 to +2.5 | -0.3541 approx. -2.5 to +2.5 | -0.1345 approx. -2.5 to +2.5 | 5 |
Countries ranked near Argentina
More reference data data for Argentina
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.56 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 20.99 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 37.41 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 5.76 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 37.41 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 5.24 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.69 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 111.77 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 187.7 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 31.35 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Argentina?
- Control of corruption - governance estimate in Argentina was -0.3257 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 Argentina?
- The highest recorded value was -0.0057 approx. -2.5 to +2.5 in 2018.
- What is the lowest control of corruption - governance estimate recorded in Argentina?
- The lowest recorded value was -0.6661 approx. -2.5 to +2.5 in 2014.
- How does Argentina rank for control of corruption - governance estimate?
- Argentina ranks 114th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Argentina?
- Over the last ten years it is up 51.1%. The long-run trend across the full record is rising.
- Where does this Argentina 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.