Portugal vs San Marino: Regulatory Quality - Governance estimate
Regulatory Quality - Governance estimate over time
- Portugal
- San Marino
How they compare
San Marino currently reports 0.8653 approx. -2.5 to +2.5 against 0.7402 approx. -2.5 to +2.5 in Portugal, a difference of 0.1251 approx. -2.5 to +2.5.
That makes San Marino's figure about 1.2 times Portugal's.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was San Marino ahead.
Portugal ranks 43rd and San Marino ranks 40th of 204 countries.
Across the 2 decades both report, Portugal averaged higher in 1 and San Marino in 1.
Head to head by decade
| Decade | Portugal | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.9098 approx. -2.5 to +2.5 | 0.8715 approx. -2.5 to +2.5 | 0.0383 approx. -2.5 to +2.5 | Portugal |
| 2020s | 0.7766 approx. -2.5 to +2.5 | 0.8666 approx. -2.5 to +2.5 | 0.09 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, Portugal or San Marino?
- San Marino, at 0.8653 approx. -2.5 to +2.5 against 0.7402 approx. -2.5 to +2.5 in Portugal as of 2024.
- What is the difference in regulatory quality - governance estimate between Portugal and San Marino?
- 0.1251 approx. -2.5 to +2.5, with San Marino ahead.
- How many years of comparable data are there for Portugal and San Marino?
- 10 years are reported by both, from 2015 to 2024.
- How do Portugal and San Marino rank globally for regulatory quality - governance estimate?
- Portugal ranks 43rd and San Marino ranks 40th of 204 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.