Guinea vs Lesotho: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Guinea
- Lesotho
How they compare
Lesotho currently reports 31.47 scale 0-100 against 30.6 scale 0-100 in Guinea, a difference of 0.87 scale 0-100.
The two have swapped places 3 times across 9 shared years of data; in 2016 it was Guinea ahead.
Guinea ranks 170th and Lesotho ranks 169th of 184 countries.
Across the 2 decades both report, Guinea averaged higher in 1 and Lesotho in 1.
Head to head by decade
| Decade | Guinea | Lesotho | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 57.98 scale 0-100 | 58.34 scale 0-100 | 0.3667 scale 0-100 | Lesotho |
| 2020s | 49.27 scale 0-100 | 32.4 scale 0-100 | 16.87 scale 0-100 | Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Guinea or Lesotho?
- Lesotho, at 31.47 scale 0-100 against 30.6 scale 0-100 in Guinea as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Guinea and Lesotho?
- 0.87 scale 0-100, with Lesotho ahead.
- How many years of comparable data are there for Guinea and Lesotho?
- 9 years are reported by both, from 2016 to 2024.
- How do Guinea and Lesotho rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Guinea ranks 170th and Lesotho ranks 169th of 184 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 2 data services 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 services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.