Comoros vs Senegal: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Comoros
- Senegal
How they compare
Senegal currently reports 73.41 scale 0-100 against 72.94 scale 0-100 in Comoros, a difference of 0.47 scale 0-100.
Across all 20 years both countries report, Senegal has been ahead every year.
Comoros ranks 108th and Senegal ranks 107th of 215 countries.
Senegal has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Comoros | Senegal | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 52.64 scale 0-100 | 62.23 scale 0-100 | 9.58 scale 0-100 | Senegal |
| 2010s | 53.65 scale 0-100 | 63.71 scale 0-100 | 10.06 scale 0-100 | Senegal |
| 2020s | 67.6 scale 0-100 | 73.32 scale 0-100 | 5.72 scale 0-100 | Senegal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Comoros or Senegal?
- Senegal, at 73.41 scale 0-100 against 72.94 scale 0-100 in Comoros as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Comoros and Senegal?
- 0.47 scale 0-100, with Senegal ahead.
- How many years of comparable data are there for Comoros and Senegal?
- 20 years are reported by both, from 2005 to 2024.
- How do Comoros and Senegal rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Comoros ranks 108th and Senegal ranks 107th 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.
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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.