Cyprus vs San Marino: Regulatory Quality - Governance estimate (approx. -2.5 to +2.5)
Regulatory Quality - Governance estimate (approx. -2.5 to +2.5) over time
- Cyprus
- San Marino
How they compare
Cyprus currently reports 0.8525 approx. -2.5 to +2.5 against 0.8501 approx. -2.5 to +2.5 in San Marino, a difference of 0.0024 approx. -2.5 to +2.5.
The two have swapped places 2 times across 11 shared years of data; in 2015 it was Cyprus ahead.
Cyprus ranks 39th and San Marino ranks 40th of 206 countries.
Across the 2 decades both report, Cyprus averaged higher in 1 and San Marino in 1.
Head to head by decade
| Decade | Cyprus | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.9748 approx. -2.5 to +2.5 | 0.8642 approx. -2.5 to +2.5 | 0.1106 approx. -2.5 to +2.5 | Cyprus |
| 2020s | 0.8248 approx. -2.5 to +2.5 | 0.857 approx. -2.5 to +2.5 | 0.0322 approx. -2.5 to +2.5 | San Marino |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher regulatory quality - governance estimate, Cyprus or San Marino?
- Cyprus, at 0.8525 approx. -2.5 to +2.5 against 0.8501 approx. -2.5 to +2.5 in San Marino as of 2025.
- What is the difference in regulatory quality - governance estimate between Cyprus and San Marino?
- 0.0024 approx. -2.5 to +2.5, with Cyprus ahead.
- How many years of comparable data are there for Cyprus and San Marino?
- 11 years are reported by both, from 2015 to 2025.
- How do Cyprus and San Marino rank globally for regulatory quality - governance estimate?
- Cyprus ranks 39th and San Marino ranks 40th of 206 countries.
- Where does this data come from?
- The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.