Guinea vs Saint Lucia: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Guinea
- Saint Lucia
How they compare
Guinea currently reports 55 scale 0-100 against 55 scale 0-100 in Saint Lucia, a difference of 0 scale 0-100.
Across all 9 years both countries report, Saint Lucia has been ahead every year.
Guinea ranks 117th and Saint Lucia ranks 117th of 192 countries.
Saint Lucia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guinea | Saint Lucia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 8.75 scale 0-100 | 23.75 scale 0-100 | 15 scale 0-100 | Saint Lucia |
| 2020s | 46 scale 0-100 | 50 scale 0-100 | 4 scale 0-100 | Saint Lucia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Guinea or Saint Lucia?
- Guinea, at 55 scale 0-100 against 55 scale 0-100 in Saint Lucia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Guinea and Saint Lucia?
- 0 scale 0-100, with Guinea ahead.
- How many years of comparable data are there for Guinea and Saint Lucia?
- 9 years are reported by both, from 2016 to 2024.
- How do Guinea and Saint Lucia rank globally for statistical performance indicators (spi): pillar 5 data?
- Guinea ranks 117th and Saint Lucia ranks 117th of 192 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure 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 infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.