New Zealand vs Russia: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- New Zealand
- Russia
How they compare
New Zealand currently reports 100 scale 0-100 against 100 scale 0-100 in Russia, a difference of 0 scale 0-100.
The two have swapped places 4 times across 9 shared years of data; in 2016 it was Russia ahead.
New Zealand ranks 1st and Russia ranks 1st of 192 countries.
New Zealand has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | New Zealand | Russia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 86.25 scale 0-100 | 81.25 scale 0-100 | 5 scale 0-100 | New Zealand |
| 2020s | 93 scale 0-100 | 92 scale 0-100 | 1 scale 0-100 | New Zealand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, New Zealand or Russia?
- New Zealand, at 100 scale 0-100 against 100 scale 0-100 in Russia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between New Zealand and Russia?
- 0 scale 0-100, with New Zealand ahead.
- How many years of comparable data are there for New Zealand and Russia?
- 9 years are reported by both, from 2016 to 2024.
- How do New Zealand and Russia rank globally for statistical performance indicators (spi): pillar 5 data?
- New Zealand ranks 1st and Russia ranks 1st 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.