Low income vs Malaysia: Statistical performance: Pillar 2 data services score (scale)
Statistical performance: Pillar 2 data services score (scale) over time
- Low income
- Malaysia
How they compare
Malaysia currently reports 99.67 scale 0-100 against 57.27 scale 0-100 in Low income, a difference of 42.4 scale 0-100.
That makes Malaysia's figure about 1.7 times Low income's.
Across all 9 years both countries report, Malaysia has been ahead every year.
Low income ranks 4th and Malaysia ranks 1st of 4 groups.
Malaysia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Low income | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 45.48 scale 0-100 | 66.02 scale 0-100 | 20.54 scale 0-100 | Malaysia |
| 2020s | 55.78 scale 0-100 | 88.72 scale 0-100 | 32.94 scale 0-100 | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Low income or Malaysia?
- Malaysia, at 99.67 scale 0-100 against 57.27 scale 0-100 in Low income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Low income and Malaysia?
- 42.4 scale 0-100, with Malaysia ahead.
- How many years of comparable data are there for Low income and Malaysia?
- 9 years are reported by both, from 2016 to 2024.
- How do Low income and Malaysia rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Low income ranks 4th and Malaysia ranks 1st of 4 groups.
- 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.