Libya vs Palau: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Libya
- Palau
How they compare
Palau currently reports 61.57 scale 0-100 against 59.33 scale 0-100 in Libya, a difference of 2.24 scale 0-100.
Across all 5 years both countries report, Palau has been ahead every year.
Libya ranks 152nd and Palau ranks 149th of 182 countries.
Palau 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, Libya or Palau?
- Palau, at 61.57 scale 0-100 against 59.33 scale 0-100 in Libya as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Libya and Palau?
- 2.24 scale 0-100, with Palau ahead.
- How many years of comparable data are there for Libya and Palau?
- 5 years are reported by both, from 2020 to 2024.
- How do Libya and Palau rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Libya ranks 152nd and Palau ranks 149th 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.
Individual pages
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.