Mauritius vs Sri Lanka: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Mauritius
- Sri Lanka
How they compare
Mauritius currently reports 77.58 scale 0-100 against 77.28 scale 0-100 in Sri Lanka, a difference of 0.3 scale 0-100.
The two have swapped places 6 times across 20 shared years of data; in 2005 it was Mauritius ahead.
Mauritius ranks 83rd 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 | Mauritius | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 66.17 scale 0-100 | 66.2 scale 0-100 | 0.025 scale 0-100 | Sri Lanka |
| 2010s | 65.62 scale 0-100 | 68.87 scale 0-100 | 3.25 scale 0-100 | Sri Lanka |
| 2020s | 74.92 scale 0-100 | 77.35 scale 0-100 | 2.43 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, Mauritius or Sri Lanka?
- Mauritius, at 77.58 scale 0-100 against 77.28 scale 0-100 in Sri Lanka as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Mauritius and Sri Lanka?
- 0.3 scale 0-100, with Mauritius ahead.
- How many years of comparable data are there for Mauritius and Sri Lanka?
- 20 years are reported by both, from 2005 to 2024.
- How do Mauritius and Sri Lanka rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Mauritius ranks 83rd 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.