Madagascar vs Timor-Leste: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Madagascar
- Timor-Leste
How they compare
Madagascar currently reports 61.77 scale 0-100 against 61.77 scale 0-100 in Timor-Leste, a difference of 0 scale 0-100.
The two have swapped places 2 times across 8 shared years of data; in 2017 it was Timor-Leste ahead.
Madagascar ranks 146th and Timor-Leste ranks 146th of 182 countries.
Across the 2 decades both report, Madagascar averaged higher in 1 and Timor-Leste in 1.
Head to head by decade
| Decade | Madagascar | Timor-Leste | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 43.63 scale 0-100 | 46.84 scale 0-100 | 3.21 scale 0-100 | Timor-Leste |
| 2020s | 61.95 scale 0-100 | 61.05 scale 0-100 | 0.9067 scale 0-100 | Madagascar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Madagascar or Timor-Leste?
- Madagascar, at 61.77 scale 0-100 against 61.77 scale 0-100 in Timor-Leste as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Madagascar and Timor-Leste?
- 0 scale 0-100, with Madagascar ahead.
- How many years of comparable data are there for Madagascar and Timor-Leste?
- 8 years are reported by both, from 2017 to 2024.
- How do Madagascar and Timor-Leste rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Madagascar ranks 146th and Timor-Leste ranks 146th 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.