Brunei vs Paraguay: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Brunei
- Paraguay
How they compare
Paraguay currently reports 74.03 scale 0-100 against 72.23 scale 0-100 in Brunei, a difference of 1.8 scale 0-100.
The two have swapped places 1 time across 5 shared years of data; in 2020 it was Brunei ahead.
Brunei ranks 82nd and Paraguay ranks 79th of 182 countries.
Brunei has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Brunei or Paraguay?
- Paraguay, at 74.03 scale 0-100 against 72.23 scale 0-100 in Brunei as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Brunei and Paraguay?
- 1.8 scale 0-100, with Paraguay ahead.
- How many years of comparable data are there for Brunei and Paraguay?
- 5 years are reported by both, from 2020 to 2024.
- How do Brunei and Paraguay rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Brunei ranks 82nd and Paraguay ranks 79th 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.