San Marino vs Vanuatu: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- San Marino
- Vanuatu
How they compare
Vanuatu currently reports 61.67 scale 0-100 against 60.73 scale 0-100 in San Marino, a difference of 0.94 scale 0-100.
The two have swapped places 2 times across 5 shared years of data; in 2020 it was Vanuatu ahead.
San Marino ranks 150th and Vanuatu ranks 148th of 182 countries.
San Marino has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, San Marino or Vanuatu?
- Vanuatu, at 61.67 scale 0-100 against 60.73 scale 0-100 in San Marino as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between San Marino and Vanuatu?
- 0.94 scale 0-100, with Vanuatu ahead.
- How many years of comparable data are there for San Marino and Vanuatu?
- 5 years are reported by both, from 2020 to 2024.
- How do San Marino and Vanuatu rank globally for statistical performance indicators (spi): pillar 2 data services score?
- San Marino ranks 150th and Vanuatu ranks 148th of 182 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 2 data services 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 services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.