Kazakhstan vs Tunisia: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Kazakhstan
- Tunisia
How they compare
Kazakhstan currently reports 90.13 scale 0-100 against 89.97 scale 0-100 in Tunisia, a difference of 0.16 scale 0-100.
The two have swapped places 3 times across 9 shared years of data; in 2016 it was Tunisia ahead.
Kazakhstan ranks 44th and Tunisia ranks 45th of 182 countries.
Across the 2 decades both report, Kazakhstan averaged higher in 1 and Tunisia in 1.
Head to head by decade
| Decade | Kazakhstan | Tunisia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 64.41 scale 0-100 | 83.28 scale 0-100 | 18.88 scale 0-100 | Tunisia |
| 2020s | 88.96 scale 0-100 | 88.79 scale 0-100 | 0.1666 scale 0-100 | Kazakhstan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Kazakhstan or Tunisia?
- Kazakhstan, at 90.13 scale 0-100 against 89.97 scale 0-100 in Tunisia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Kazakhstan and Tunisia?
- 0.16 scale 0-100, with Kazakhstan ahead.
- How many years of comparable data are there for Kazakhstan and Tunisia?
- 9 years are reported by both, from 2016 to 2024.
- How do Kazakhstan and Tunisia rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Kazakhstan ranks 44th and Tunisia ranks 45th of 182 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 2 data services 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 services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.