Palau vs Vanuatu: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Palau
- Vanuatu
How they compare
Vanuatu currently reports 61.67 scale 0-100 against 61.57 scale 0-100 in Palau, a difference of 0.1 scale 0-100.
The two have swapped places 2 times across 5 shared years of data; in 2020 it was Vanuatu ahead.
Palau ranks 149th and Vanuatu ranks 148th of 182 countries.
Vanuatu 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, Palau or Vanuatu?
- Vanuatu, at 61.67 scale 0-100 against 61.57 scale 0-100 in Palau as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Palau and Vanuatu?
- 0.1 scale 0-100, with Vanuatu ahead.
- How many years of comparable data are there for Palau and Vanuatu?
- 5 years are reported by both, from 2020 to 2024.
- How do Palau and Vanuatu rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Palau ranks 149th 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.