Eswatini vs Solomon Islands: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Eswatini
- Solomon Islands
How they compare
Solomon Islands currently reports 62.77 scale 0-100 against 62.53 scale 0-100 in Eswatini, a difference of 0.24 scale 0-100.
Across all 9 years both countries report, Solomon Islands has been ahead every year.
Eswatini ranks 140th and Solomon Islands ranks 139th of 182 countries.
Solomon Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Eswatini | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 24.88 scale 0-100 | 38.62 scale 0-100 | 13.74 scale 0-100 | Solomon Islands |
| 2020s | 36.35 scale 0-100 | 60.02 scale 0-100 | 23.67 scale 0-100 | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Eswatini or Solomon Islands?
- Solomon Islands, at 62.77 scale 0-100 against 62.53 scale 0-100 in Eswatini as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Eswatini and Solomon Islands?
- 0.24 scale 0-100, with Solomon Islands ahead.
- How many years of comparable data are there for Eswatini and Solomon Islands?
- 9 years are reported by both, from 2016 to 2024.
- How do Eswatini and Solomon Islands rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Eswatini ranks 140th and Solomon Islands ranks 139th 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.