Ethiopia vs Solomon Islands: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Ethiopia
- Solomon Islands
How they compare
Ethiopia currently reports 45 scale 0-100 against 45 scale 0-100 in Solomon Islands, a difference of 0 scale 0-100.
Across all 9 years both countries report, Solomon Islands has been ahead every year.
Ethiopia ranks 151st and Solomon Islands ranks 151st of 191 countries.
Solomon Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Ethiopia | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 15 scale 0-100 | 21.25 scale 0-100 | 6.25 scale 0-100 | Solomon Islands |
| 2020s | 37 scale 0-100 | 43 scale 0-100 | 6 scale 0-100 | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Ethiopia or Solomon Islands?
- Ethiopia, at 45 scale 0-100 against 45 scale 0-100 in Solomon Islands as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Ethiopia and Solomon Islands?
- 0 scale 0-100, with Ethiopia ahead.
- How many years of comparable data are there for Ethiopia and Solomon Islands?
- 9 years are reported by both, from 2016 to 2024.
- How do Ethiopia and Solomon Islands rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Ethiopia ranks 151st and Solomon Islands ranks 151st of 191 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.