Low income vs Russia: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Low income
- Russia
How they compare
Russia currently reports 100 scale 0-100 against 51.48 scale 0-100 in Low income, a difference of 48.52 scale 0-100.
That makes Russia's figure about 1.9 times Low income's.
Across all 9 years both countries report, Russia has been ahead every year.
Low income ranks 4th and Russia ranks 1st of 4 groups.
Russia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Low income | Russia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 26.15 scale 0-100 | 81.25 scale 0-100 | 55.1 scale 0-100 | Russia |
| 2020s | 42.67 scale 0-100 | 92 scale 0-100 | 49.33 scale 0-100 | Russia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Low income or Russia?
- Russia, at 100 scale 0-100 against 51.48 scale 0-100 in Low income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Low income and Russia?
- 48.52 scale 0-100, with Russia ahead.
- How many years of comparable data are there for Low income and Russia?
- 9 years are reported by both, from 2016 to 2024.
- How do Low income and Russia rank globally for statistical performance indicators (spi): pillar 5 data?
- Low income ranks 4th and Russia ranks 1st of 4 groups.
- 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.