Regulatory Quality - Governance estimate in Cayman Islands
Cayman Islands: Regulatory Quality - Governance estimate was 1.07 approx. -2.5 to +2.5 in 2024. ▼ Falling
Regulatory Quality - 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
The most recent figure for regulatory quality - governance estimate in Cayman Islands is 1.07 approx. -2.5 to +2.5, measured in 2024.
The figure is up 0.1% on the previous year and up 11.7% over ten years.
Over the whole period, regulatory quality - governance estimate in Cayman Islands peaked at 1.65 approx. -2.5 to +2.5 in 2002 and was at its lowest, 0.9621 approx. -2.5 to +2.5, in 2014.
That places Cayman Islands 33rd out of 204 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently falling across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1.26 approx. -2.5 to +2.5 | 1.24 approx. -2.5 to +2.5 | 1.27 approx. -2.5 to +2.5 | 2 |
| 2000s | 1.41 approx. -2.5 to +2.5 | 1.15 approx. -2.5 to +2.5 | 1.65 approx. -2.5 to +2.5 | 9 |
| 2010s | 1.11 approx. -2.5 to +2.5 | 0.9621 approx. -2.5 to +2.5 | 1.27 approx. -2.5 to +2.5 | 10 |
| 2020s | 1.08 approx. -2.5 to +2.5 | 1.07 approx. -2.5 to +2.5 | 1.08 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)
- Summer temperature anomalies 0.8137 (2026)
- Country level monthly temperature anomalies 0.359 (2026)
- Spring temperature anomalies 0.4176 (2026)
- Official exchange rate, LCU per USD, period average 0.8333 (2026)
- Winter temperature anomalies 0.9854 (2025)
Frequently asked questions
- What is regulatory quality - governance estimate in Cayman Islands?
- Regulatory quality - governance estimate in Cayman Islands was 1.07 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 regulatory quality - governance estimate recorded in Cayman Islands?
- The highest recorded value was 1.65 approx. -2.5 to +2.5 in 2002.
- What is the lowest regulatory quality - governance estimate recorded in Cayman Islands?
- The lowest recorded value was 0.9621 approx. -2.5 to +2.5 in 2014.
- How does Cayman Islands rank for regulatory quality - governance estimate?
- Cayman Islands ranks 33rd out of 204 countries with data for 2024.
- Is regulatory quality - governance estimate rising or falling in Cayman Islands?
- Over the last ten years it is up 11.7%. 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 Regulatory Quality - 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
Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. 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.