Cuba vs Solomon Islands: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Cuba
- Solomon Islands
How they compare
Cuba currently reports 61.97 scale 0-100 against 60.92 scale 0-100 in Solomon Islands, a difference of 1.05 scale 0-100.
The two have swapped places 2 times across 20 shared years of data; in 2005 it was Cuba ahead.
Cuba ranks 159th and Solomon Islands ranks 162nd of 215 countries.
Across the 3 decades both report, Cuba averaged higher in 1 and Solomon Islands in 2.
Head to head by decade
| Decade | Cuba | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 45.99 scale 0-100 | 49.22 scale 0-100 | 3.23 scale 0-100 | Solomon Islands |
| 2010s | 46.69 scale 0-100 | 52.24 scale 0-100 | 5.55 scale 0-100 | Solomon Islands |
| 2020s | 66.95 scale 0-100 | 62.34 scale 0-100 | 4.62 scale 0-100 | Cuba |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Cuba or Solomon Islands?
- Cuba, at 61.97 scale 0-100 against 60.92 scale 0-100 in Solomon Islands as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Cuba and Solomon Islands?
- 1.05 scale 0-100, with Cuba ahead.
- How many years of comparable data are there for Cuba and Solomon Islands?
- 20 years are reported by both, from 2005 to 2024.
- How do Cuba and Solomon Islands rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Cuba ranks 159th and Solomon Islands ranks 162nd 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.