Monaco vs San Marino: Statistical performance: Pillar 3 data products score (scale)
Statistical performance: Pillar 3 data products score (scale) over time
- Monaco
- San Marino
How they compare
Monaco currently reports 41.12 scale 0-100 against 36.37 scale 0-100 in San Marino, a difference of 4.75 scale 0-100.
That makes Monaco's figure about 1.1 times San Marino's.
The two have swapped places 1 time across 20 shared years of data; in 2005 it was San Marino ahead.
Monaco ranks 193rd and San Marino ranks 195th of 215 countries.
Across the 3 decades both report, Monaco averaged higher in 2 and San Marino in 1.
Head to head by decade
| Decade | Monaco | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 14.88 scale 0-100 | 15.97 scale 0-100 | 1.09 scale 0-100 | San Marino |
| 2010s | 18.21 scale 0-100 | 18.09 scale 0-100 | 0.1163 scale 0-100 | Monaco |
| 2020s | 38.95 scale 0-100 | 34.7 scale 0-100 | 4.25 scale 0-100 | Monaco |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Monaco or San Marino?
- Monaco, at 41.12 scale 0-100 against 36.37 scale 0-100 in San Marino as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Monaco and San Marino?
- 4.75 scale 0-100, with Monaco ahead.
- How many years of comparable data are there for Monaco and San Marino?
- 20 years are reported by both, from 2005 to 2024.
- How do Monaco and San Marino rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Monaco ranks 193rd and San Marino ranks 195th of 215 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.