Burundi vs Seychelles: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Burundi
- Seychelles
How they compare
Seychelles currently reports 48 scale 0-100 against 42.47 scale 0-100 in Burundi, a difference of 5.53 scale 0-100.
That makes Seychelles's figure about 1.1 times Burundi's.
The two have swapped places 1 time across 8 shared years of data; in 2017 it was Burundi ahead.
Burundi ranks 163rd and Seychelles ranks 161st of 182 countries.
Burundi has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Burundi | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 61.04 scale 0-100 | 45.94 scale 0-100 | 15.1 scale 0-100 | Burundi |
| 2020s | 52.69 scale 0-100 | 45.76 scale 0-100 | 6.93 scale 0-100 | Burundi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Burundi or Seychelles?
- Seychelles, at 48 scale 0-100 against 42.47 scale 0-100 in Burundi as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Burundi and Seychelles?
- 5.53 scale 0-100, with Seychelles ahead.
- How many years of comparable data are there for Burundi and Seychelles?
- 8 years are reported by both, from 2017 to 2024.
- How do Burundi and Seychelles rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Burundi ranks 163rd and Seychelles ranks 161st 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.
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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.