Dominica vs Gabon: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Dominica
- Gabon
How they compare
Gabon currently reports 30.23 scale 0-100 against 29.93 scale 0-100 in Dominica, a difference of 0.3 scale 0-100.
The two have swapped places 1 time across 5 shared years of data; in 2020 it was Dominica ahead.
Dominica ranks 171st and Gabon ranks 170th of 182 countries.
Dominica 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, Dominica or Gabon?
- Gabon, at 30.23 scale 0-100 against 29.93 scale 0-100 in Dominica as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Dominica and Gabon?
- 0.3 scale 0-100, with Gabon ahead.
- How many years of comparable data are there for Dominica and Gabon?
- 5 years are reported by both, from 2020 to 2024.
- How do Dominica and Gabon rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Dominica ranks 171st and Gabon ranks 170th 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.