Indonesia vs Luxembourg: Statistical performance: Pillar 2 data services score (scale)
Statistical performance: Pillar 2 data services score (scale) over time
- Indonesia
- Luxembourg
How they compare
Indonesia currently reports 91.87 scale 0-100 against 91.53 scale 0-100 in Luxembourg, a difference of 0.34 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Indonesia ahead.
Indonesia ranks 40th and Luxembourg ranks 42nd of 184 countries.
Across the 2 decades both report, Indonesia averaged higher in 1 and Luxembourg in 1.
Head to head by decade
| Decade | Indonesia | Luxembourg | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 84.46 scale 0-100 | 70.76 scale 0-100 | 13.7 scale 0-100 | Indonesia |
| 2020s | 91.69 scale 0-100 | 93.19 scale 0-100 | 1.49 scale 0-100 | Luxembourg |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Indonesia or Luxembourg?
- Indonesia, at 91.87 scale 0-100 against 91.53 scale 0-100 in Luxembourg as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Indonesia and Luxembourg?
- 0.34 scale 0-100, with Indonesia ahead.
- How many years of comparable data are there for Indonesia and Luxembourg?
- 9 years are reported by both, from 2016 to 2024.
- How do Indonesia and Luxembourg rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Indonesia ranks 40th and Luxembourg ranks 42nd of 184 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.