Guinea-Bissau vs San Marino: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Guinea-Bissau
- San Marino
How they compare
Guinea-Bissau currently reports 50 scale 0-100 against 50 scale 0-100 in San Marino, a difference of 0 scale 0-100.
Across all 9 years both countries report, San Marino has been ahead every year.
Guinea-Bissau ranks 137th and San Marino ranks 137th of 191 countries.
San Marino has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guinea-Bissau | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 17.5 scale 0-100 | 51.25 scale 0-100 | 33.75 scale 0-100 | San Marino |
| 2020s | 29 scale 0-100 | 53 scale 0-100 | 24 scale 0-100 | San Marino |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Guinea-Bissau or San Marino?
- Guinea-Bissau, at 50 scale 0-100 against 50 scale 0-100 in San Marino as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Guinea-Bissau and San Marino?
- 0 scale 0-100, with Guinea-Bissau ahead.
- How many years of comparable data are there for Guinea-Bissau and San Marino?
- 9 years are reported by both, from 2016 to 2024.
- How do Guinea-Bissau and San Marino rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Guinea-Bissau ranks 137th and San Marino ranks 137th of 191 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.