Russia vs Upper middle income: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Russia
- Upper middle income
How they compare
Russia currently reports 100 scale 0-100 against 66.63 scale 0-100 in Upper middle income, a difference of 33.37 scale 0-100.
That makes Russia's figure about 1.5 times Upper middle income's.
Across all 9 years both countries report, Russia has been ahead every year.
Russia ranks 1st and Upper middle income ranks 2nd of 192 countries.
Russia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Russia | Upper middle income | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 81.25 scale 0-100 | 48.03 scale 0-100 | 33.22 scale 0-100 | Russia |
| 2020s | 92 scale 0-100 | 61.36 scale 0-100 | 30.64 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, Russia or Upper middle income?
- Russia, at 100 scale 0-100 against 66.63 scale 0-100 in Upper middle income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Russia and Upper middle income?
- 33.37 scale 0-100, with Russia ahead.
- How many years of comparable data are there for Russia and Upper middle income?
- 9 years are reported by both, from 2016 to 2024.
- How do Russia and Upper middle income rank globally for statistical performance indicators (spi): pillar 5 data?
- Russia ranks 1st and Upper middle income ranks 2nd 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.