Iceland vs Sri Lanka: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Iceland
- Sri Lanka
How they compare
Sri Lanka currently reports 77.28 scale 0-100 against 76.64 scale 0-100 in Iceland, a difference of 0.64 scale 0-100.
Across all 20 years both countries report, Sri Lanka has been ahead every year.
Iceland ranks 85th and Sri Lanka ranks 84th of 215 countries.
Sri Lanka has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Iceland | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 41.43 scale 0-100 | 66.2 scale 0-100 | 24.77 scale 0-100 | Sri Lanka |
| 2010s | 51.77 scale 0-100 | 68.87 scale 0-100 | 17.1 scale 0-100 | Sri Lanka |
| 2020s | 73.45 scale 0-100 | 77.35 scale 0-100 | 3.89 scale 0-100 | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Iceland or Sri Lanka?
- Sri Lanka, at 77.28 scale 0-100 against 76.64 scale 0-100 in Iceland as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Iceland and Sri Lanka?
- 0.64 scale 0-100, with Sri Lanka ahead.
- How many years of comparable data are there for Iceland and Sri Lanka?
- 20 years are reported by both, from 2005 to 2024.
- How do Iceland and Sri Lanka rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Iceland ranks 85th and Sri Lanka ranks 84th of 215 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products 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 products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.