Ethiopia vs Sierra Leone: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Ethiopia
- Sierra Leone
How they compare
Ethiopia currently reports 64.43 scale 0-100 against 64.37 scale 0-100 in Sierra Leone, a difference of 0.06 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Sierra Leone ahead.
Ethiopia ranks 123rd and Sierra Leone ranks 124th of 182 countries.
Sierra Leone has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Ethiopia | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 54.75 scale 0-100 | 58.44 scale 0-100 | 3.69 scale 0-100 | Sierra Leone |
| 2020s | 61.05 scale 0-100 | 64.95 scale 0-100 | 3.91 scale 0-100 | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Ethiopia or Sierra Leone?
- Ethiopia, at 64.43 scale 0-100 against 64.37 scale 0-100 in Sierra Leone as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Ethiopia and Sierra Leone?
- 0.06 scale 0-100, with Ethiopia ahead.
- How many years of comparable data are there for Ethiopia and Sierra Leone?
- 9 years are reported by both, from 2016 to 2024.
- How do Ethiopia and Sierra Leone rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Ethiopia ranks 123rd and Sierra Leone ranks 124th of 182 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.
Individual pages
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.