Control of Corruption - Governance estimate in Cayman Islands
Cayman Islands: Control of Corruption - Governance estimate was 0.6045 approx. -2.5 to +2.5 in 2024. ▼ Falling
Control of Corruption - Governance estimate in Cayman Islands, 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 Cayman Islands stood at 0.6045 approx. -2.5 to +2.5.
Compared with earlier readings it is up 0.2% on the previous year and down 32.5% over ten years.
Over the whole period, control of corruption - governance estimate in Cayman Islands peaked at 1.36 approx. -2.5 to +2.5 in 1996 and was at its lowest, 0.6016 approx. -2.5 to +2.5, in 2017.
That places Cayman Islands 57th out of 204 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently falling across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1.36 approx. -2.5 to +2.5 | 1.36 approx. -2.5 to +2.5 | 1.36 approx. -2.5 to +2.5 | 2 |
| 2000s | 1.22 approx. -2.5 to +2.5 | 0.863 approx. -2.5 to +2.5 | 1.35 approx. -2.5 to +2.5 | 9 |
| 2010s | 0.892 approx. -2.5 to +2.5 | 0.6016 approx. -2.5 to +2.5 | 1.23 approx. -2.5 to +2.5 | 10 |
| 2020s | 0.6046 approx. -2.5 to +2.5 | 0.6032 approx. -2.5 to +2.5 | 0.606 approx. -2.5 to +2.5 | 5 |
Countries ranked near Cayman Islands
More reference data data for Cayman Islands
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 0 (2019)
- Country level monthly temperature anomalies 0.359 (2026)
- Summer temperature anomalies 0.8137 (2026)
- Spring temperature anomalies 0.4176 (2026)
- Official exchange rate, LCU per USD, period average 0.8333 (2026)
- Consumer price index 102.94 (2016)
Frequently asked questions
- What is control of corruption - governance estimate in Cayman Islands?
- Control of corruption - governance estimate in Cayman Islands was 0.6045 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 Cayman Islands?
- The highest recorded value was 1.36 approx. -2.5 to +2.5 in 1996.
- What is the lowest control of corruption - governance estimate recorded in Cayman Islands?
- The lowest recorded value was 0.6016 approx. -2.5 to +2.5 in 2017.
- How does Cayman Islands rank for control of corruption - governance estimate?
- Cayman Islands ranks 57th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Cayman Islands?
- Over the last ten years it is down 32.5%. The long-run trend across the full record is falling.
- Where does this Cayman Islands 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.