Oman 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
- Oman
- San Marino
How they compare
San Marino currently reports 0.8501 approx. -2.5 to +2.5 against 0.6927 approx. -2.5 to +2.5 in Oman, a difference of 0.1574 approx. -2.5 to +2.5.
That makes San Marino's figure about 1.2 times Oman's.
Across all 11 years both countries report, San Marino has been ahead every year.
Oman ranks 43rd and San Marino ranks 40th of 206 countries.
San Marino has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Oman | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.6165 approx. -2.5 to +2.5 | 0.8642 approx. -2.5 to +2.5 | 0.2477 approx. -2.5 to +2.5 | San Marino |
| 2020s | 0.5434 approx. -2.5 to +2.5 | 0.857 approx. -2.5 to +2.5 | 0.3136 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, Oman or San Marino?
- San Marino, at 0.8501 approx. -2.5 to +2.5 against 0.6927 approx. -2.5 to +2.5 in Oman as of 2025.
- What is the difference in regulatory quality - governance estimate between Oman and San Marino?
- 0.1574 approx. -2.5 to +2.5, with San Marino ahead.
- How many years of comparable data are there for Oman and San Marino?
- 11 years are reported by both, from 2015 to 2025.
- How do Oman and San Marino rank globally for regulatory quality - governance estimate?
- Oman ranks 43rd 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.