Belarus vs Saudi Arabia: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Belarus
- Saudi Arabia
How they compare
Belarus currently reports 90 scale 0-100 against 90 scale 0-100 in Saudi Arabia, a difference of 0 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Belarus ahead.
Belarus ranks 13th and Saudi Arabia ranks 13th of 192 countries.
Belarus has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Belarus | Saudi Arabia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 80 scale 0-100 | 35 scale 0-100 | 45 scale 0-100 | Belarus |
| 2020s | 94 scale 0-100 | 75 scale 0-100 | 19 scale 0-100 | Belarus |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Belarus or Saudi Arabia?
- Belarus, at 90 scale 0-100 against 90 scale 0-100 in Saudi Arabia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Belarus and Saudi Arabia?
- 0 scale 0-100, with Belarus ahead.
- How many years of comparable data are there for Belarus and Saudi Arabia?
- 9 years are reported by both, from 2016 to 2024.
- How do Belarus and Saudi Arabia rank globally for statistical performance indicators (spi): pillar 5 data?
- Belarus ranks 13th and Saudi Arabia ranks 13th 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.